Continuous mapping of forest canopy height using ICESat-2 data and a weighted kernel integration of multi-temporal multi-source remote sensing data aided by Google Earth Engine-Reference-Cited by-同舟云学术

Continuous mapping of forest canopy height using ICESat-2 data and a weighted kernel integration of multi-temporal multi-source remote sensing data aided by Google Earth Engine

Published:2024-07-31 Issue:37 Volume:31 Page:49757-49779
ISSN:1614-7499
Container-title:Environmental Science and Pollution Research
language:en
Short-container-title:Environ Sci Pollut Res

Author:

Mansouri Jalal,Jafari Mohsen^ORCID,Taheri Dehkordi Alireza

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11356-024-34415-2.pdf

Reference73 articles.

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2. Almeida DRA, Broadbent EN, Zambrano AMA, Wilkinson BE, Ferreira ME, Chazdon R, Meli P, Gorgens EB, Silva CA, Stark SC (2019) Monitoring the structure of forest restoration plantations with a drone-LiDAR system. Int J Appl Earth Obs Geoinformation 79:192–98

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4. Arjasakusuma S, Kusuma SS, Rafif R, Saringatin S, Wicaksono P (2021) Time-series cross-orbit Sentinel-1 Synthetic-Aperture Radar (SAR) data for mapping paddy extent: case study of Magelang District, Central Java. In IOP Conf Series: Earth Environ Sci 686(1):012053 (IOP Publishing)

5. Baldrian Petr, López-Mondéjar Rubén, Kohout Petr (2023) Forest microbiome and global change. Nat Rev Microbiol 21(8):487–501