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Mapping carbon stocks in Central and South America with smap vegetation optical depth

Author
Chaparro, D.; Duveiller, G.; Piles, M.; Vall-llossera, M.; Cescatti, A.; Camps, A.; Entekhabi, D.
Type of activity
Presentation of work at congresses
Name of edition
2019 IEEE International Geoscience and Remote Sensing Symposium
Date of publication
2019
Presentation's date
2019-08-01
Book of congress proceedings
2019 IEEE International Geoscience & Remote Sensing Symposium: proceedings: July 28-August 2, 2019: Yokohama, Japan
First page
5449
Last page
5452
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
10.1109/IGARSS.2019.8900244
Project funding
Innnovative products and services from microwave sensors, SMOS and Earth Sentinels
On the continuity of L-band satellite missions: new paradigms in products and applications
Unitat d'Excel·lència/'María de Maeztu/': Grup de recerca en Teledetecció, Antenes, Microones i Superconductivitat
Repository
http://hdl.handle.net/2117/184024 Open in new window
URL
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8900244&isnumber=8897702 Open in new window
Abstract
Mapping carbon stocks in the tropics is essential for climate change mitigation. Passive microwave remote sensing allows estimating carbon from deep canopy layers through the Vegetation Optical Depth (VOD) parameter. Although their spatial resolution is coarser than that of optical vegetation indices or airborne Lidar data, microwaves present a higher penetration capacity at low frequencies (L-band) and avoid cloud masking. This work compares the relationships of airborne carbon maps in Central ...
Citation
Chaparro, D. [et al.]. Mapping carbon stocks in Central and South America with smap vegetation optical depth. A: IEEE International Geoscience and Remote Sensing Symposium. "2019 IEEE International Geoscience & Remote Sensing Symposium: proceedings: July 28-August 2, 2019: Yokohama, Japan". Institute of Electrical and Electronics Engineers (IEEE), 2019, p. 5449-5452.
Keywords
Carbon, Optical radar, Remote sensing, Remote sensing by laser beam, Vegetation, Vegetation mapping
Group of research
CommSensLab-UPC - Centre Específic de Recerca en Comunicació i Detecció UPC
RSLAB - Remote Sensing Lab

Participants