
Proceedings Paper
A review on derivation of biomass information in semi-arid regions based on remote sensing dataFormat | Member Price | Non-Member Price |
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Paper Abstract
Vegetation biomass is an important ecological variable for understanding responses to the climate system and currently
observed global change. It is also an important factor influencing biodiversity and environmental processes, especially in
semi-arid areas. These areas cover large parts of the land surface and are especially susceptible to degradation and
desertification. Therefore, a great need exists for the development of accurate and transferable methods for biomass
estimation in semi-arid areas. This paper presents an overview of previously applied remote sensing based approaches
for above-ground biomass estimation in semi-arid regions. Based on the literature analysis a summary and discussion of
commonly observed difficulties and challenges will be presented. Further research is especially required on the
transferability of remote sensing based methods for biomass estimation in semi-arid areas. Additional analyses should be
directed towards efficient field sampling schemes, and the synergetic use of optical and radar data.
Paper Details
Date Published: 25 October 2010
PDF: 8 pages
Proc. SPIE 7831, Earth Resources and Environmental Remote Sensing/GIS Applications, 78310L (25 October 2010); doi: 10.1117/12.868505
Published in SPIE Proceedings Vol. 7831:
Earth Resources and Environmental Remote Sensing/GIS Applications
Ulrich Michel; Daniel L. Civco, Editor(s)
PDF: 8 pages
Proc. SPIE 7831, Earth Resources and Environmental Remote Sensing/GIS Applications, 78310L (25 October 2010); doi: 10.1117/12.868505
Show Author Affiliations
Christina Eisfelder, Deutsches Zentrum für Luft- und Raumfahrt e.V. (Germany)
Claudia Kuenzer, Deutsches Zentrum für Luft- und Raumfahrt e.V. (Germany)
Claudia Kuenzer, Deutsches Zentrum für Luft- und Raumfahrt e.V. (Germany)
Stefan Dech, Deutsches Zentrum für Luft- und Raumfahrt e.V. (Germany)
Published in SPIE Proceedings Vol. 7831:
Earth Resources and Environmental Remote Sensing/GIS Applications
Ulrich Michel; Daniel L. Civco, Editor(s)
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