Spectral Unmixing of Forest Crown Components at Close Range, Airborne and Simulated Sentinel-2 and EnMAP Spectral Imaging Scale
作者： Anne Clasen , Ben Somers , Kyle Pipkins , Laurent Tits , Karl Segl
DOI: 10.3390/RS71115361
关键词: Normalized Difference Vegetation Index 、 Vegetation 、 Endmember 、 Environmental science 、 Remote sensing 、 Spectral imaging 、 Imaging spectroscopy 、 Context (language use) 、 Temperate deciduous forest 、 EnMAP
摘要: Forest biochemical and biophysical variables their spatial temporal distribution are essential inputs to process-orientated ecosystem models. To provide this information, imaging spectroscopy appears be a promising tool. In context, the present study investigates potential of spectral unmixing derive sub-pixel crown component fractions in temperate deciduous forest ecosystem. However, high proportion foliage complex vegetation structure leads problem saturation effects, when applying broadband indices. This illustrates that multiple endmember mixture analysis (MESMA) can contribute overcoming challenge. Reference
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