Phenological NDVI time series for the dynamic derivation of soil coverage information
作者： M. Moller , H. Gerstmann , T. C. Dahms
DOI: 10.1109/IGARSS.2017.8127947
关键词:
摘要: Monitoring of agricultural used soils at frequent intervals is needed to get a better understanding processes like soil erosion or harvest forecast. This crucial support decision making and refining policies especially in the context climate change. Parcel-specific coverage information can be derived by satellite imagery with high temporal geometric resolution. However, their usable number mostly, due cloud cover, not representative for phenological characteristics vegetated classes. To overcome constraints, spatial fusion models STARFM ESTARFM are increasingly applied derive resolution time series remotely sensed biophysical parameters based on high-spatial/low-temporal Landsat Sentinel-2 low-spatial/high-temporal MODIS. We show how combination corresponding enables definition windows which predicting fractional vegetation (FV C) bare (BS) selectively applied.
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