In agriculture, crop biomass is a vital indicator of the overall health of an ecosystem. Recent
developments in synthetic aperture radar (SAR) technologies have promoted the application …

Sentinel-1A C-SAR and Sentinel-2A MultiSpectral Instrument (MSI) provide data applicable
to the remote identification of crop type. In this study, six crop types (beans, beetroot, grass …

Abstract From 1 June to 29 August 2018, Kerala, a state in southwestern India, recorded
36% excess rainfall than normal levels, leading to widespread floods and landslides events …

For food crises early warning purposes, coarse spatial resolution NDVI data are widely used
to monitor vegetation conditions in near real-time (NRT). Different types of NDVI anomalies …

The launch of Sentinel-2A and B satellites has boosted the development of many
applications that could benefit from the fine resolution of the supplied information, both in …

Earth Observation data support the large-scale monitoring of croplands across South
America (SA). For instance, optical remote sensing (ORS) data are typically used to map and …

A timely and accurate crop type mapping is very significant, and a prerequisite for
agricultural regions and ensuring global food security. The combination of remotely sensed …

In the eastern Democratic Republic of Congo, agriculture represents the most important
economic sector, and land control can be considered a perpetual source of conflict …

Soybean crop plays an important role in world food production and food security, and
agricultural production should be increased accordingly to meet the global food demand …

Currently, the main remote sensing-based crop mapping methods are based on spectral-
temporal features. However, there has been a lack research on the selection of the multi …