Leaf area index (LAI) and chlorophyll content, at leaf and canopy level, are important variables for agricultural applications because of their crucial role in photosynthesis and in plant functioning. The goal of this study was to test the hypothesis that LAI, leaf chlorophyll content (LCC), and canopy chlorophyll content (CCC) of a potato crop can be estimated by vegetation indices for the fir...

Knowledge about crop type distribution is valuable information for effective management of agricultural productivity, food security estimation, and natural resources protection. Algorithms automatic detection have great potential to positively influence these aspects as well speed up the process mapping in larger areas. In presented study, we used 14 Sentinel-2 images calculate 12 widely spectr...

Crop monitoring is critical for sustaining agriculture, preserving natural resources, and dealing with the effects of population growth climate change. The Sentinel missions, Sentinel-1 Sentinel-2, provide open imagery at a high spatial temporal resolution. This research aimed (1) to evaluate profiles derived from Sentinel-2 time series data in deducing dates phenological stages wheat germinati...

For optimal management of river floodplains in the Netherlands monitoring of natural vegetation succession and hydrodynamic processes is essential. A key biophysical parameter to monitor floodplains is vegetation biomass. Not only because it influences the hydraulic resistance determining the discharge capacity of the floodplains, but also indicating species diversity and habitat heterogeneity ...

Biological invasions form a major threat to the provision of ecosystems productsand services and can affect ecosystems across a wide spectrum of bioclimatic conditions.Therefore, it is important to systematically monitor the spread of species over broad regions. Ithas long been recognized that remote sensing and geographical information system couldcontribute to this capacity. This paper aims t...