DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging | Paper Citation Record

Observation af78ada0-1923-4ef0-9168-92c4cbec173f · outbound

This paper cites Combining Environmental, Multispectral, and LiDAR Data Improves Forest Type Classification: A Case Study on Mapping Cool Temperate Rainforests and Mixed Forests.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Combining Environmental, Multispectral, and LiDAR Data Improves Forest Type Classification: A Case Study on Mapping Cool Temperate Rainforests and Mixed Forests

Reference 1

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Observation 45fc78b7-2b3a-4a89-9ad2-012cc04b181b · outbound

This paper cites Towards accurate individual tree parameters estimation in dense forest: optimized coarse-to-fine algorithms for registering UAV and terrestrial LiDAR data.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Towards accurate individual tree parameters estimation in dense forest: optimized coarse-to-fine algorithms for registering UAV and terrestrial LiDAR data

Reference 2

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Observation 7326efa3-7f13-4456-b218-eba31b42aef8 · outbound

This paper cites Forest Emissions Reduction Assessment Using Optical Satellite Imagery and Space LiDAR Fusion for Carbon Stock Estimation.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Forest Emissions Reduction Assessment Using Optical Satellite Imagery and Space LiDAR Fusion for Carbon Stock Estimation

Reference 3

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Observation 66c44c31-af68-440f-a9fa-71cbc6fd8da5 · outbound

This paper cites Biomass Estimation of Subtropical Arboreal Forest at Single Tree Scale Based on Feature Fusion of Airborne LiDAR Data and Aerial Images.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Biomass Estimation of Subtropical Arboreal Forest at Single Tree Scale Based on Feature Fusion of Airborne LiDAR Data and Aerial Images

Reference 4

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Observation fdf1341b-dea9-418a-a96f-722d35d2925b · outbound

This paper cites Crop Type Classification by DESIS Hyperspectral Imagery and Machine Learning Algorithms.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Crop Type Classification by DESIS Hyperspectral Imagery and Machine Learning Algorithms

Reference 5

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Observation cabea691-dc8a-4838-8205-23c8c3d5b9aa · outbound

This paper cites an unresolved cited work.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Unresolved cited work

Reference 6

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Observation aeac7be9-ec8b-4c23-9358-2aca0576e61b · outbound

This paper cites Hyperspectral remote sensing to assess weed competitiveness in maize farmland ecosystems.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Hyperspectral remote sensing to assess weed competitiveness in maize farmland ecosystems

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T13:10:28.722765Z

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Observation 9930986c-f4ee-4884-8bd8-a36b64954908 · outbound

This paper cites Early Detection of Dendroctonus valens Infestation at Tree Level with a Hyperspectral UAV Image.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Early Detection of Dendroctonus valens Infestation at Tree Level with a Hyperspectral UAV Image

Reference 8

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Observation c8a1f60a-9a57-4f76-82b1-4b7125314185 · outbound

This paper cites Combining novel feature selection strategy and hyperspectral vegetation indices to predict crop yield.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Combining novel feature selection strategy and hyperspectral vegetation indices to predict crop yield

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T13:10:28.732110Z

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Observation 07d3b99e-9c44-4f7f-bfaf-5a59e4c126f2 · outbound

This paper cites Real-time defect inspection of green coffee beans using NIR snapshot hyperspectral imaging.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Real-time defect inspection of green coffee beans using NIR snapshot hyperspectral imaging

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:30.313052Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c0843f3c-6c77-47ed-92bb-8b79f66bd0f7 · outbound

This paper cites Detecting Asymptomatic Infections of Rice Bacterial Leaf Blight Using Hyperspectral Imaging and 3-Dimensional Convolutional Neural Network With Spectral Dilated Convolution.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Detecting Asymptomatic Infections of Rice Bacterial Leaf Blight Using Hyperspectral Imaging and 3-Dimensional Convolutional Neural Network With Spectral Dilated Convolution

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:30.297654Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0457e8bc-73fa-4652-a2b8-80c43cd645bc · outbound

This paper cites Remote Estimation of Chlorophyll Content in Higher Plant Leaves.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Remote Estimation of Chlorophyll Content in Higher Plant Leaves

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:30.282759Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7b02659b-fc9f-4143-93c3-df77841c81b7 · outbound

This paper cites Canopy Top, Height and Photosynthetic Pigment Estimation Using Parrot Sequoia Multispectral Imagery and the Unmanned Aerial Vehicle (UAV).

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Canopy Top, Height and Photosynthetic Pigment Estimation Using Parrot Sequoia Multispectral Imagery and the Unmanned Aerial Vehicle (UAV)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:30.268950Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e020c2f5-5a1f-4dca-b272-c7f1f13891d2 · outbound

This paper cites Construction of 3D maps of vegetation indices retrieved from UAV multispectral imagery in forested areas.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Construction of 3D maps of vegetation indices retrieved from UAV multispectral imagery in forested areas

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:30.254466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 83227def-b136-4da6-b2bb-5af2ed22ce93 · outbound

This paper cites In-situ fruit analysis by means of LiDAR 3D point cloud of normalized difference vegetation index (NDVI).

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging In-situ fruit analysis by means of LiDAR 3D point cloud of normalized difference vegetation index (NDVI)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:30.239986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 70cad92b-f5ec-49bf-b668-f45da2277387 · outbound

This paper cites Evaluating the Combined Use of the NDVI and High-Density Lidar Data to Assess the Natural Regeneration of P.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Evaluating the Combined Use of the NDVI and High-Density Lidar Data to Assess the Natural Regeneration of P

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:30.224893Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 31f7af13-bcee-4197-a8bb-1834b37b45ed · outbound

This paper cites Integrating UAV LiDAR and multispectral data to assess forest status and map disturbance severity in a West African forest patch.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Integrating UAV LiDAR and multispectral data to assess forest status and map disturbance severity in a West African forest patch

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:30.207612Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1de77f0d-aa77-4807-85ae-3bfeed2d2aec · outbound

This paper cites L-Band Synthetic Aperture Radar and Its Application for Forest Parameter Estimation, 1972 to 2024: A Review.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging L-Band Synthetic Aperture Radar and Its Application for Forest Parameter Estimation, 1972 to 2024: A Review

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:30.191306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 167b8457-0584-4c4b-a717-317eca12d0ab · outbound

This paper cites Measurements of Forest Biomass Change Using P-Band Synthetic Aperture Radar Backscatter.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Measurements of Forest Biomass Change Using P-Band Synthetic Aperture Radar Backscatter

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:30.175782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fe202564-9807-40c4-a30c-4245a6c8e4d9 · outbound

This paper cites P-band SAR for ground deformation surveying: Advantages and challenges.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging P-band SAR for ground deformation surveying: Advantages and challenges

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:30.160557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e66dadd8-e344-4f8e-bc5a-d3f9fe81f42e · outbound

This paper cites Virtual constellations for global terrestrial monitoring.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Virtual constellations for global terrestrial monitoring

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:30.145365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8a494baf-dd98-47f6-8e8e-b261b3d1a69e · outbound

This paper cites Radar vegetation indices for monitoring surface vegetation: Developments, challenges, and trends.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Radar vegetation indices for monitoring surface vegetation: Developments, challenges, and trends

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:30.129947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8894f364-e5f1-4933-b610-db6138d9a16e · outbound

This paper cites Combining lidar and synthetic aperture radar data to estimate forest biomass: status and prospects.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Combining lidar and synthetic aperture radar data to estimate forest biomass: status and prospects

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:30.114852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 85e49ac1-8ebb-4f9c-9156-297c0af61cd9 · outbound

This paper cites Structure-from-Motion Revisited.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Structure-from-Motion Revisited

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:30.099776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a9acb838-7b62-475d-87d6-df15b70b8f43 · outbound

This paper cites Pixelwise view selection for unstructured multi-view stereo.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Pixelwise view selection for unstructured multi-view stereo

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:30.070125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cb570aeb-3d3c-4069-9b7d-9ea98c484b29 · outbound

This paper cites Global structure-from-motion revisited.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Global structure-from-motion revisited

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:30.055621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 86e9bb29-61eb-4e25-b584-f9ae5bb2ff55 · outbound

This paper cites Atutorial on synthetic aperture radar.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Atutorial on synthetic aperture radar

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:30.041010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7f969b78-1a6d-4c7f-9d4d-09b5171c51e4 · outbound

This paper cites Synthetic aperture radar imaging using a small consumer drone.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Synthetic aperture radar imaging using a small consumer drone

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:30.025293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 261413ad-3c70-43b1-ba6b-23ab89342de6 · outbound

This paper cites Synthetic aperture radar interferometry.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Synthetic aperture radar interferometry

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:30.010299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f18ee06b-a95d-4e92-a9b7-f7fa2a65f526 · outbound

This paper cites Interferometric synthetic aperture microscopy (ISAM).

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Interferometric synthetic aperture microscopy (ISAM)

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.995524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d4ebe908-7156-4447-a08c-3baf49b11e1f · outbound

This paper cites Synthetic aperture sonar: a review of current status.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Synthetic aperture sonar: a review of current status

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.980730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a48b8ac4-95b0-4a4a-ba69-4244b3aeb7d1 · outbound

This paper cites Synthetic aperture ultrasound imaging.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Synthetic aperture ultrasound imaging

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.964873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4f01696e-b7c0-47ce-975c-fb86bf929e87 · outbound

This paper cites Synthetic tracked aperture ultrasound imaging: design, simulation, and experimental evaluation.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Synthetic tracked aperture ultrasound imaging: design, simulation, and experimental evaluation

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.949464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ffbf94b4-e641-4d4a-9329-39f20cd837a2 · outbound

This paper cites Synthetic aperture ladar imaging demonstrations and information at very low return levels.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Synthetic aperture ladar imaging demonstrations and information at very low return levels

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.933823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation efc6d3ec-219b-482c-98c7-bb8b67693a60 · outbound

This paper cites Synthetic aperture lidar as a future tool for earth observation.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Synthetic aperture lidar as a future tool for earth observation

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.919837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fe3f0448-7d7d-48fd-bd1d-7d9d2622143e · outbound

This paper cites Kinect based real-time synthetic aperture imaging through occlusion.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Kinect based real-time synthetic aperture imaging through occlusion

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.906275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 03f158f3-860e-461c-9e09-2ffe44558189 · outbound

This paper cites Occluded-object 3D reconstruction using camera array synthetic aperture imaging.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Occluded-object 3D reconstruction using camera array synthetic aperture imaging

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.891704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 35212079-fbac-488d-a7ed-6e23804ede57 · outbound

This paper cites Synthetic aperture radio telescopes.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Synthetic aperture radio telescopes

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.876911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ae90b8ea-106d-4f77-9fb6-c9c8871bd596 · outbound

This paper cites Optical aperture synthesis with electronically connected telescopes.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Optical aperture synthesis with electronically connected telescopes

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.861948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4dc50423-0ef3-46ae-918f-f0a9f613d8ab · outbound

This paper cites Airborne Optical Sectioning.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Airborne Optical Sectioning

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.846733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9176416f-3a2c-44f5-b50d-0e2011524620 · outbound

This paper cites Synthetic aperture imaging with drones.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Synthetic aperture imaging with drones

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.832764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2978bfcb-f678-4939-8e1d-09cce4fc2ed4 · outbound

This paper cites A statistical view on synthetic aperture imaging for occlusion removal.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging A statistical view on synthetic aperture imaging for occlusion removal

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.818229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1714388e-8eb4-4520-9676-1fb2803f8374 · outbound

This paper cites Thermal airborne optical sectioning.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Thermal airborne optical sectioning

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.803204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6153be8c-5577-452a-a27b-666458622260 · outbound

This paper cites Airborne Optical Sectioning for Nesting Observation.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Airborne Optical Sectioning for Nesting Observation

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.787714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 723952ca-4a46-4e1e-a896-51133f6d3120 · outbound

This paper cites Fast automatic visibility optimization for thermal synthetic aperture visualization.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Fast automatic visibility optimization for thermal synthetic aperture visualization

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.773490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 86af4689-a934-46f4-82fd-34f7402ef2a5 · outbound

This paper cites Pose Error Reduction for Focus Enhancement in Thermal Synthetic Aperture Visualization.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Pose Error Reduction for Focus Enhancement in Thermal Synthetic Aperture Visualization

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.759283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ba2f28bf-c126-4da4-aa8d-1ae236a1b72d · outbound

This paper cites Search and rescue with airborne optical sectioning.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Search and rescue with airborne optical sectioning

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.744817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 82fafa4b-649c-41ed-95b9-14dcd162ba73 · outbound

This paper cites An autonomous drone for search and rescue in forests using airborne optical sectioning.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging An autonomous drone for search and rescue in forests using airborne optical sectioning

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.729483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5d849e26-5a4e-4e0b-869a-786c6c8e7091 · outbound

This paper cites Combined Person Classification with Airborne Optical Sectioning.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Combined Person Classification with Airborne Optical Sectioning

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.714746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 63c9ce1a-4ae0-4204-bb47-e5cc72a50a86 · outbound

This paper cites Through-Foliage Tracking with Airborne Optical Sectioning.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Through-Foliage Tracking with Airborne Optical Sectioning

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.699603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f94813b2-0fde-4d1a-a134-4c04467bb2d3 · outbound

This paper cites Inverse Airborne Optical Sectioning.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Inverse Airborne Optical Sectioning

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.685518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1ab2112d-025d-4245-a4a6-a53f9ca67b8d · outbound

This paper cites Evaluation of Color Anomaly Detection in Multispectral Images For Synthetic Aperture Sensing, Eng.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Evaluation of Color Anomaly Detection in Multispectral Images For Synthetic Aperture Sensing, Eng

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.671493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f6d2b631-bf39-4a3c-befb-070bf103b1d0 · outbound

This paper cites Drone swarm strategy for the detection and tracking of occluded targets in complex environments.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Drone swarm strategy for the detection and tracking of occluded targets in complex environments

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.656443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 84a1ff92-4f44-44c9-8afd-516978826c97 · outbound

This paper cites Synthetic Aperture Anomaly Imaging for Through-Foliage Target Detection.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Synthetic Aperture Anomaly Imaging for Through-Foliage Target Detection

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.640988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c6a692c5-04f4-407a-b86b-042dba6271ee · outbound

This paper cites Stereoscopic Depth Perception Through Foliage.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Stereoscopic Depth Perception Through Foliage

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.626205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2e0bfc30-0c2d-4885-88af-486537251c8a · outbound

This paper cites Fusion of Single and Integral Multispectral Aerial Images.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Fusion of Single and Integral Multispectral Aerial Images

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.610130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8759fa4a-f39a-4349-bb70-a79964093c2f · outbound

This paper cites Reciprocal Visibility for Guided Occlusion Removal With Drones.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Reciprocal Visibility for Guided Occlusion Removal With Drones

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.594535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7ab06fda-94ce-4dc1-a3e3-547ff54b7f52 · outbound

This paper cites DeconvolutionLab2: An open-source software for deconvolution microscopy.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging DeconvolutionLab2: An open-source software for deconvolution microscopy

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.580286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 748518c9-b02b-49e1-82f7-8b941fa344e8 · outbound

This paper cites Three-dimensional imaging by deconvolution microscopy.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Three-dimensional imaging by deconvolution microscopy

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.564778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 770292ca-9edc-4b63-8f32-63f7de1d5f74 · outbound

This paper cites Deconvolution methods for 3-D fluorescence microscopy images, IEEE Signal Processing Mag.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Deconvolution methods for 3-D fluorescence microscopy images, IEEE Signal Processing Mag

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.550793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1273b127-c1b0-4683-8562-bbd67ef15266 · outbound

This paper cites Blind depth-variant deconvolution of 3D data in wide-field fluorescence microscopy, Sci.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Blind depth-variant deconvolution of 3D data in wide-field fluorescence microscopy, Sci

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.536552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bf450369-c86d-4039-8fdd-6852c4fc0955 · outbound

This paper cites A novel variational approach for multiphoton microscopy image restoration: from PSF estimation to 3D deconvolution.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging A novel variational approach for multiphoton microscopy image restoration: from PSF estimation to 3D deconvolution

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.521993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8524b452-2215-48df-8df4-db7e2fa4df47 · outbound

This paper cites Depth and DOF Cues Make A Better Defocus Blur Detector.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Depth and DOF Cues Make A Better Defocus Blur Detector

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.507024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3215fdf2-bef9-4d00-9f28-e3076b153ef2 · outbound

This paper cites Depth from Defocus vs.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Depth from Defocus vs

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.492303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cb063127-dc8e-4558-a30c-48fbf321746e · outbound

This paper cites A state-of-the-art review of image motion deblurring techniques in precision agriculture.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging A state-of-the-art review of image motion deblurring techniques in precision agriculture

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.477707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f54ee15e-cf8d-42fd-b4e8-4d486585cee5 · outbound

This paper cites Correction of out-of-focus microscopic images by deep learning.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Correction of out-of-focus microscopic images by deep learning

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.462873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0b8e1671-0072-44a7-99af-07b456eb0906 · outbound

This paper cites Monitoring vegetation systems in the Great Plains with ERTS.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Monitoring vegetation systems in the Great Plains with ERTS

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.448710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 79188ea7-ca21-41bc-abe3-475978fac994 · outbound

This paper cites Monitoring forest structure to guide adaptive management of forest restoration: a review of remote sensing approaches.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Monitoring forest structure to guide adaptive management of forest restoration: a review of remote sensing approaches

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.434640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d8799c90-848e-4b0d-84e4-ec3167c1fa9f · outbound

This paper cites Global patterns and climatic controls of forest structural complexity.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Global patterns and climatic controls of forest structural complexity

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.420480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3c41cc74-36c4-41e4-8c29-182b35ebfe05 · outbound

This paper cites an unresolved cited work.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Unresolved cited work

Reference 70

Resolution: unresolved; raw_fallback, observed 2026-08-09T13:10:29.405754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation da6d0a13-eff0-4441-ab84-1a940de3315b · outbound

This paper cites Improved allometric models to estimate the aboveground biomass of tropical trees.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Improved allometric models to estimate the aboveground biomass of tropical trees

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.390891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cdab96e4-52a2-4b8f-b07c-afee21e4e616 · outbound

This paper cites Mapping carbon accumulation potential from global natural forest regrowth.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Mapping carbon accumulation potential from global natural forest regrowth

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.376078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3ce1e866-dff4-4bb1-9bf0-e174054e5a05 · outbound

This paper cites Vegetation stands biomass and carbon stock estimation using NDVI-Landsat 8 imagery in mixed garden of Rancakalong.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Vegetation stands biomass and carbon stock estimation using NDVI-Landsat 8 imagery in mixed garden of Rancakalong

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.361579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fb47a3fa-b7af-4403-a1ab-d35f047639f6 · outbound

This paper cites Biodiversity loss and climate extremes—study the feedbacks.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Biodiversity loss and climate extremes—study the feedbacks

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.346663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a56eeaea-4ed7-4bc2-a1e5-1939ccc4dfe1 · outbound

This paper cites Emerging signals of declining forest resilience under climate change.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Emerging signals of declining forest resilience under climate change

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.332424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ab00815b-2c12-43a5-aa58-0872c2709ead · outbound

This paper cites BeyondPixels: A Comprehensive Review of the Evolution of Neural Radiance Fields.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging BeyondPixels: A Comprehensive Review of the Evolution of Neural Radiance Fields

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-09T13:10:29.036496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e56155af-da4b-41aa-a8af-24e24660dd1d · outbound

This paper cites A Survey on 3D Gaussian Splatting.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging A Survey on 3D Gaussian Splatting

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-09T13:10:29.041236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1208f702-3135-46e2-b23d-5d75a4a56abf · outbound

This paper cites A new method for voxel‐based modelling of three‐dimensional forest scenes with integration of terrestrial and airborne LiDAR data.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging A new method for voxel‐based modelling of three‐dimensional forest scenes with integration of terrestrial and airborne LiDAR data

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.317233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5646801e-60ae-4599-aa05-eea94fd23a74 · outbound

This paper cites Sensitivity of voxel-based estimations of leaf area density with terrestrial LiDAR to vegetation structure and sampling limitations: A simulation experiment.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Sensitivity of voxel-based estimations of leaf area density with terrestrial LiDAR to vegetation structure and sampling limitations: A simulation experiment

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.302003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4d723590-f586-40d1-82eb-caf725b80081 · outbound

This paper cites Beyond Vegetation: A Review Unveiling Additional Insights into Agriculture and Forestry through the Application of Vegetation Indices.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Beyond Vegetation: A Review Unveiling Additional Insights into Agriculture and Forestry through the Application of Vegetation Indices

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.286754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b3074313-5690-4526-b3e5-9572bda45022 · outbound

This paper cites Multispectral Light Detection and Ranging Technology and Applications: A Review.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Multispectral Light Detection and Ranging Technology and Applications: A Review

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.272391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 08ea283f-e752-4b4f-893e-1e26fbedfce3 · outbound

This paper cites Combining multispectral imagery and synthetic aperture radar for detecting deforestation.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Combining multispectral imagery and synthetic aperture radar for detecting deforestation

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.256821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8dca64a8-935b-4c93-b461-9024880cb641 · outbound

This paper cites Novel Algorithms for Remote Estimation of Vegetation Fraction.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Novel Algorithms for Remote Estimation of Vegetation Fraction

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.240886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4a007f98-fdb5-438d-ae96-5cfda2d6cb40 · outbound

This paper cites Under-Canopy Drone 3D Surveys for Wild Fruit Hotspot Mapping.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Under-Canopy Drone 3D Surveys for Wild Fruit Hotspot Mapping

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.225007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b9377126-a0bc-4d94-b4d7-0e698c793dc8 · outbound

This paper cites Forest in situ observations through a fully automated under-canopy unmanned aerial vehicle.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Forest in situ observations through a fully automated under-canopy unmanned aerial vehicle

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.210102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7ce4ae0d-844e-445a-a1ca-f508e702e5ee · outbound

This paper cites A Drone-based Prototype Design and Testing for Under- the-canopy Imaging and Onboard Data Analytics.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging A Drone-based Prototype Design and Testing for Under- the-canopy Imaging and Onboard Data Analytics

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.194631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 923b4126-8579-40e6-bed8-1fa51173addb · outbound

This paper cites Exploring the potential of transmittance vegetation indices for leaf functional traits retrieval.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Exploring the potential of transmittance vegetation indices for leaf functional traits retrieval

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:10:29.179032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1b985a19-80ed-4cee-846b-ca6c66284428 · outbound

This paper cites Review of indirect optical measurements of leaf area index: Recent advances, challenges, and perspectives.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Review of indirect optical measurements of leaf area index: Recent advances, challenges, and perspectives

Reference 88

Resolution: verified exact; doi, observed 2026-08-09T13:10:29.162815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1c92c343-090f-46df-8da4-215f8b3bb34c · outbound

This paper cites an unresolved cited work.

DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging Unresolved cited work

Reference 2016

Resolution: unresolved; raw_fallback, observed 2026-08-09T13:10:30.085375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Reference resolution

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