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Summary of Proposal LAN2019

TitleSynergy of Synthetic Aperture Radar (SAR) and multispectral remote sensing data to derive bio-physical and bio-chemical parameters of cropland agriculture and grassland
Investigator Roth, Achim - DLR, DFD
Team Member
Mr Ahmadian, Nima - Ernst-Moritz-Arndt-Universität Greifswald, Institute for Geography and Geology
Professor Dr. Zölitz, Reinhard - Ernst-Moritz-Arndt-Universität Greifswald, Institute for Geography and Geology
Dr. Borg, Erik - Deutsches Zentrum für Luft- und Raumfahrt (DLR), Earth Observation Center | German Remote Sensing Data Center | National Ground S
Dipl.-Geogr. Hartleib, Jörg - Ernst-Moritz-Arndt-Universität Greifswald, Institute for Geography and Geology
SummaryAgriculture is an important economic sector; the federal and provincial governments are working cooperatively to deliver national programs to enable the competitiveness of this sector, and to meet both economic and environmental sustainability goals. The regular mapping of crop status is an important requirement for a sustainable agricultural management. It enables, for instance, the early detection of crop water stress; on the other hand the accurate estimation of vegetation biochemical and biophysical variables is important in many agricultural, ecological, and meteorological applications. Four of these variables Leaf Area Index (LAI), height, and biomass and vegetation water content can be used to describe the architecture of plants, monitor changes in canopy structure, and predict growth and yield. The reliable estimation of these variables during the growing season would improve planning and marketing. Moreover, because these variables vary seasonally and respond rapidly to stress factors and changes in climatic conditions, it is important to estimate their values frequently, but this can be difficult when the vegetation covers large areas.

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