isprsarchives XL 7 W3 1 2015
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Land degradation was assessed by adopting new approach through the integration of GLASOD/FAO approach and Remote Sensing / GIS techniques .The main types of human induced
GROUND SPECTRORADIOMETERS AND ARCHAEOLOGICAL RESEARCH 2.1 Atmospheric correction of archive satellite data Although satellite imagery and vegetation indices (e.g., NDVI)
The objective of this paper is to develop and test an inversion algorithm for soil moisture and multi-scale roughness parameters retrieval from radar
Initial development was tailored to high resolution RapidEye images, and all crucial and most challenging parts of the planned full processing chain were developed: module
Limitations and deficiencies of different remote sensing sensors in extraction of different objects caused fusion of data from different sensors to become more widespread
In this study, the feasibility of RapidEye data to derive leaf area index (LAI) time series and to relate them to grassland management practices is assessed.. The LAI is a
Ground reference data of leaf area index (LAI), chlorophyll (SPAD) and nitrogen (N) concentration of winter (WW) and summer wheat (SW) and corresponding RapidEye imagery.. Site-ID
Vegetation index NDVI, as well as different biophysical parameters (LAI and fAPAR) derived from satellite data and WOFOST crop growth model are considered as predictors of winter
