Design and performance of the Climate Change Initiative Biomass global retrieval algorithm

Design and performance of the Climate Change Initiative Biomass global retrieval algorithm

The increase in Earth observations from space in recent years supports improved quantification of carbon storage by terrestrial vegetation and fosters studies that relate satellite measurements to biomass retrieval algorithms. However, satellite observations are only indirectly related to the carbon...

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Main Authors: Maurizio Santoro, Oliver Cartus, Shaun Quegan, Heather Kay, Richard M. Lucas, Arnan Araza, Martin Herold, Nicolas Labrière, Jérôme Chave, Åke Rosenqvist, Takeo Tadono, Kazufumi Kobayashi, Josef Kellndorfer, Valerio Avitabile, Hugh Brown, João Carreiras, Michael J. Campbell, Jura Cavlovic, Polyanna da Conceição Bispo, Hammad Gilani, Mohammed Latif Khan, Amit Kumar, Simon L. Lewis, Jingjing Liang, Edward T.A. Mitchard, Ana María Pacheco-Pascagaza, Oliver L. Phillips, Casey M. Ryan, Purabi Saikia, Dmitry Schepaschenko, Hansrajie Sukhdeo, Hans Verbeeck, Ghislain Vieilledent, Arief Wijaya, Simon Willcock, Frank Martin Seifert
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Science of Remote Sensing
Subjects:
Above-ground biomass
Carbon
Forest
Synthetic Aperture Radar
Backscatter
Sentinel-1
Online Access:http://www.sciencedirect.com/science/article/pii/S2666017224000531
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