Large-Scale Forest Height Mapping in the Northeastern U.S. using L-Band Spaceborne Repeat-Pass SAR Interferometry and GEDI LiDAR Data
Author:
Affiliation:
1. Chinese Academy of Sciences,National Space Science Center,Beijing
2. University of Massachusetts Amherst,Department Electrical Computer Engineering,Massachusetts
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10281394/10281399/10281488.pdf?arnumber=10281488
Reference16 articles.
1. Refined Forest Stand Height Inversion Approach with Spaceborne Repeat-Pass L-Band SAR Interferometry and GEDI Lidar Data
2. Generation of Large-Scale Moderate-Resolution Forest Height Mosaic With Spaceborne Repeat-Pass SAR Interferometry and Lidar
3. An Automatic Mosaicking Algorithm for the Generation of a Large-Scale Forest Height Map Using Spaceborne Repeat-Pass InSAR Correlation Magnitude
4. Estimation of Forest Height Using Spaceborne Repeat-Pass L-Band InSAR Correlation Magnitude over the US State of Maine
5. The Laser Vegetation Imaging Sensor: a medium-altitude, digitisation-only, airborne laser altimeter for mapping vegetation and topography
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1. 30 M Gridded Forest Canopy Height Mapping for New England Region, USA by Using ALOS Repeat-Pass SAR Interferometry and GEDI LiDAR Data;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07
2. Forest 3D Radar Reflectivity Reconstruction at X-Band Using a Lidar Derived Polarimetric Coherence Tomography Basis;Remote Sensing;2024-06-13
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