Accurate crop type map** provides numerous benefits for a deeper understanding of food
systems and yield prediction. Ever-increasing big data, easy access to high-resolution …

Timely and accurate information on crop planting areas is critical for estimating crop
production, and earlier crop map** can benefit decision-making related to crop insurance …

Generating crop type maps using satellite remote sensing requires robust data acquisition at
both high spatial and temporal resolutions to resolve rapid phenological transition at the …

Accurate crop map** is of great significance for crop yield forecasting, agricultural
productivity development and agricultural management. Thanks to its all-time and all …

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 …

The purpose of this study was to evaluate the feasibility and applicability of object-oriented
crop classification using Sentinel-1 images in the Google Earth Engine (GEE). In this study …

Over 90% of the world's rice is produced in the Asia-Pacific Region. Synthetic aperture radar
(SAR) enables all-day and all-weather observations of rice distribution in tropical and …

Rapid and accurate crop type map** is of great significance for agricultural management
and sustainable development. Time-series multi-polarization synthetic aperture radar (SAR) …

It is necessary to adequately extract scattering characteristics from polarimetric synthetic
aperture radar (PolSAR) data for land-cover classification. Current interpretation …

In terms of providing various scattering mechanisms, polarimetric target decompositions
provide certain benefits for the interpretation of PolSAR images. This paper tested the …