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Derivation of biomass information for semi-arid areas using remote-sensing data

Eisfelder, Christina and Künzer, Claudia and Dech, Stefan (2012) Derivation of biomass information for semi-arid areas using remote-sensing data. International Journal of Remote Sensing (33), pp. 2937-2984. Taylor & Francis. doi: 10.1080/01431161.2011.620034.

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The impact of changes in vegetation biomass on the global ecosystem and the future evolution of possible climate change is of high relevance. Above-ground biomass (AGB) influences environmental processes, such as the hydrological cycle, soil erosion and degradation, especially in semi-arid areas. Therefore, a great need exists for the development of accurate and transferable methods for biomass estimation in these areas. Remote-sensing-based biomass studies have been carried out since the early 1980s. The large majority of these have focused on forests. A reasonable number of efforts have also been undertaken for the estimation of the biomass in semi-arid regions; however, a summary of these studies is not available yet. This review article provides an overview of the remote-sensing-based research activities for AGB estimation in semi-arid regions using optical data, radar data, combined multi-sensor approaches and modelling approaches. A description of typical field measurement methods is also provided, as well as a summary and discussion of the commonly observed difficulties and challenges to be overcome in the future. Most studies were based on low- and medium-resolution optical or radar data and applied empirical relationships between the remote-sensing-derived indices and biomass field measurements. The influence of soil background on the remote-sensing signals is a major challenge. The biggest challenge, however, seems to be the transferability of the methods in time and space. Especially, empirical relationships seem to provide weak results when applied to another point in time or space. Thus, further research on the transferability of remote-sensing-based methods for biomass estimation – especially in semi-arid areas – is required. Additional analyses and research are also needed for an understanding of the relationship between the AGB and remote-sensing signals in ecosystems with scarce vegetation, towards efficient field sampling schemes, synergetic use of optical and radar data and robust models that are not dependent on extensive field sampling.

Item URL in elib:https://elib.dlr.de/74279/
Document Type:Article
Title:Derivation of biomass information for semi-arid areas using remote-sensing data
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Eisfelder, Christinachristina.eisfelder (at) dlr.deUNSPECIFIED
Künzer, ClaudiaClaudia.Kuenzer (at) dlr.deUNSPECIFIED
Dech, Stefanstefan.dech (at) dlr.deUNSPECIFIED
Date:10 May 2012
Journal or Publication Title:International Journal of Remote Sensing
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:Yes
DOI :10.1080/01431161.2011.620034
Page Range:pp. 2937-2984
Publisher:Taylor & Francis
Keywords:Biomass, Remote Sensing, Semi-arid regions
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Vorhaben Prozesse der Landoberfläche (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface
Deposited By: Eisfelder, Christina
Deposited On:24 Jan 2012 12:46
Last Modified:10 Jan 2019 15:48

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