Accurate land cover information is required for science, monitoring, and reporting. Land
cover changes naturally over time, as well as a result of anthropogenic activities. Monitoring …

Crop yields need to be improved in a sustainable manner to meet the expected worldwide
increase in population over the coming decades as well as the effects of anticipated climate …

This study aims to develop a deep learning based classification framework for remotely
sensed time series. The experiment was carried out in Yolo County, California, which has a …

Closing the yield gap between actual and potential wheat yields in Australia is important to
meet the growing global demand for food. The identification of hotspots of the yield gap …

For agronomic, environmental, and economic reasons, the need for spatialized information
about agricultural practices is expected to rapidly increase. In this context, we reviewed the …

High-resolution satellite images can provide abundant, detailed spatial information for land
cover classification, which is particularly important for studying the complicated built …

Phenology is an indicator of crop growth conditions, and is correlated with crop yields. In this
study, a phenological approach based on a remote sensing vegetation index was explored …

Abstract The applications of Normalized Difference Vegetation Index (NDVI) time-series data
are inevitably hampered by cloud-induced gaps and noise. Although numerous …

Droughts pose significant economic and ecological concerns, and considering climate
change projections, timely monitoring and early warning based on satellite observations …