Rice is the most important food crop in the developing world, and more than half of the
global population consumes it as a staple food. Mapping the area of rice cultivation in a …

Mapping smallholder fruit plantations using optical data is challenging due to morphological
landscape heterogeneity and crop types having overlapping spectral signatures …

Humans have been transforming natural surface water bodies into various types of artificial
water cover to meet the growing demand for food, energy, and flood protection in recent …

Abstract Synthetic Aperture Radar (SAR) observations, valued for their consistent acquisition
schedule and not being affected by cloud cover and variations between day and night, have …

The proliferation of massive polarimetric Synthetic Aperture Radar (SAR) data helps
promote the development of SAR image interpretation. Due to the advantages of powerful …

This study aims to map the planting area of summer maize and estimate the spatiotemporal
phenology information with parcel-based classification method through integration of …

Currently, remote sensing crop identification is mostly based on all available images
acquired throughout crop growth. However, the available image and data resources in the …

Crop type identification is the initial stage and an important part of the agricultural monitoring
system. It is well known that synthetic aperture radar (SAR) Sentinel-1A imagery provides a …

Change detection has played an increasingly important role in multitemporal remote
sensing applications recently. Long time series analysis is providing new information of land …

Due to the inconsistency of rice variety, agricultural industry faces an important challenge of
rice grading and classification by the traditional grading system. The existing grading system …