Retrieval of forest canopy height jointly using airborne LiDAR and ALOS PALSAR data-Reference-Cited by-同舟云学术

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Retrieval of forest canopy height jointly using airborne LiDAR and ALOS PALSAR data

Published:2019-09-12 Issue:02 Volume:14 Page:1
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:
Short-container-title:J. Appl. Rem. Sens.

Author:

Xu Min¹,Xiang Haibing²,Yun Hongquan³,Ni Xiliang¹,Chen Wei¹,Cao Chunxiang¹

Affiliation:

1. Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, State Key Laboratory of

2. Key Laboratory of Aperture Array and Space Application, No. 38 Research Institute of CETC, Hefei

3. National Key Laboratory of Science and Technology on Aerospace Intelligence Control, Beijing

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

Reference22 articles.

1. Synchronous estimation of DTM and fractional vegetation cover in forested area from airborne LIDAR height and intensity data

2. Iterative TIN-based automatic filtering of sparse LiDAR data

3. Quantifying the influence of slope, aspect, crown shape and stem density on the estimation of tree height at plot level using lidar and InSAR data

4. Radiometric and spectral characterization and comparison of the Antarctic Dome C and Sonoran Desert sites for the calibration and validation of visible and near-infrared radiometers

5. An airborne lidar sampling strategy to model forest canopy height from Quickbird imagery and GEOBIA

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Strategies for Forest Height Estimation by High-Precision DEM Combined with Short-Wavelength PolInSAR TanDEM-X;Photogrammetric Engineering & Remote Sensing;2023-06-01

2. A Method for Forest Canopy Height Inversion Based on Machine Learning and Feature Mining Using UAVSAR;Remote Sensing;2022-11-18

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