Crop classification plays a crucial role in ensuring food security, agricultural policy
development, and effective land management. Remote sensing data, particularly Sentinel-1 …

Crop Classification and recognition is a very important application of Remote Sensing. In the
last few years, Machine learning classification techniques have been emerging for crop …

Crop identification is key to global food security. Due to the large scale of crop estimation,
the science of remote sensing was able to do well in this field. The purpose of this study is to …

The availability of an unprecedented amount of open remote sensing data, such as Sentinel-
1 and-2 data within the Copernicus program, has boosted the idea of combining the use of …

A timely inventory of agricultural areas and crop types is an essential requirement for
ensuring global food security and allowing early crop monitoring practices. Satellite remote …

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 …

Accurate and rapid crop type mapping is critical for agricultural sustainability. The growing
trend of cloud-based geospatial platforms provides rapid processing tools and cloud storage …

Mapping of the crop using satellite images is a challenging task due to complexities within
field, and having the similar spectral properties with other crops in the region. Recently …

Crop mapping is a challenging task due to spectral similarity of various crops. This study
aims to:(1) identify major crops in Roorkee, India, using Sentinel-2A data.(2) test the efficacy …

Crop type mapping visualizes the spatial distribution pattern and proportion of planting
areas of different crop types, which is the basis for subsequent agricultural applications …