Predicting the Forest Canopy Height from LiDAR and Multi-Sensor Data Using Machine Learning over India

Predicting the Forest Canopy Height from LiDAR and Multi-Sensor Data Using Machine Learning over India

Forest canopy height estimates, at a regional scale, help understand the forest carbon storage, ecosystem processes, the development of forest management and the restoration policies to mitigate global climate change, etc. The recent availability of the NASA’s Global Ecosystem Dynamics Investigation...

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Bibliographic Details
Main Authors: Sujit M. Ghosh, Mukunda D. Behera, Subham Kumar, Pulakesh Das, Ambadipudi J. Prakash, Prasad K. Bhaskaran, Parth S. Roy, Saroj K. Barik, Chockalingam Jeganathan, Prashant K. Srivastava, Soumit K. Behera
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Remote Sensing
Subjects:
GEDI
vegetation type
SAR backscatters
topography
canopy height
Online Access:https://www.mdpi.com/2072-4292/14/23/5968

Internet

https://www.mdpi.com/2072-4292/14/23/5968

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