Remote Sensing and LiDAR Applications
LiDAR remote sensing uses pulsed laser light to measure vegetation structure with centimeter-scale precision, allowing researchers to estimate tree height, canopy architecture, and aboveground biomass across landscapes that would be impractical to survey on foot. These measurements feed directly into estimates of forest carbon stocks, making LiDAR a critical tool for tracking how much carbon forests sequester and how that changes with disturbance, logging, or climate stress. Airborne laser scanning can cover large regions efficiently, while terrestrial systems capture fine-grained detail at the individual tree level, and a central challenge in the field is reconciling these scales to produce reliable global forest maps. Active research is pushing toward combining LiDAR with satellite imagery and radar data to fill spatial gaps and reduce the cost of continuous, wall-to-wall forest monitoring worldwide.
- Works
- 110,443
- Total citations
- 1,040,282
- Keywords
- Lidar Remote SensingForest Carbon StocksAboveground BiomassTree Height EstimationGlobal Forest MappingAirborne Laser Scanning
Top papers in Remote Sensing and LiDAR Applications
Ordered by total citation count.
- Overview of the radiometric and biophysical performance of the MODIS vegetation indices↗ 9,766
- Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery↗ 5,821
- CONDENSATION—Conditional Density Propagation for Visual Tracking↗ 4,889
- VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection↗ 4,608
- Remote Sensing And Image Interpretation↗ 4,482OA
- ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes↗ 4,057
- ‘Structure-from-Motion’ photogrammetry: A low-cost, effective tool for geoscience applications↗ 4,056OA
- Tree allometry and improved estimation of carbon stocks and balance in tropical forests↗ 3,554
- Assessing the Accuracy of Remotely Sensed Data↗ 3,438
- The 30 m annual land cover dataset and its dynamics in China from 1990 to 2019↗ 3,366OA
- A modified soil adjusted vegetation index↗ 3,343
- SECOND: Sparsely Embedded Convolutional Detection↗ 3,285OA
Active researchers
Top authors in this area, ranked by h-index.