Mapping grassland leaf area index with airborne hyperspectral imagery: A comparison study of statistical approaches and inversion of radiative transfer models
نویسندگان
چکیده
Department of Remote Sensing and GIS, Faculty of Earth Sciences, Shahid Beheshti University, Tehran, Iran University of Natural Resources and Life Sciences, Vienna, Institute of Surveying, Remote Sensing and Land Information, Peter Jordan-Strasse 82, 1190 Vienna, Austria University of Twente, faculty of Geo-information Science and Earth Observation (ITC), Hengelosestraat 99, 7514 AE Enschede, The Netherlands
منابع مشابه
Comparative analysis of different retrieval methods for mapping grassland leaf area index using airborne imaging spectroscopy
Fine scale maps of vegetation biophysical variables are useful status indicators for monitoring and managing national parks and endangered habitats. Here, we assess in a comparative way four different retrieval methods for estimating leaf area index (LAI) in grassland: two radiative transfer model (RTM) inversion methods (one based on look-up-tables (LUT) and one based on predictive equations) ...
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