Accurate spatial distribution maps of paddy rice played crucial roles in food security and
market stability. Decades-spanning Landsat images were useful for long-term paddy rice …

The agriculture sector is highly vulnerable to natural disasters and climate change, leading
to severe impacts on food security, economic stability, and rural livelihoods. The use of …

CONTEXT Mapping crop types from satellite images is a promising application in
agricultural systems. However, it is a challenge to automate in-season crop type mapping …

Large-area crop type identification and mapping for cropland are intensively crucial for
agriculture research, yield forecast, and disaster management. The United States …

Scientific irrigation scheduling aims to solve the on-farm allocation of water, deciding
whether or not to irrigate, when, and determining the amount. Studies conducted in various …

This study develops a general method to evaluate the contributions of localized urbanization
and global climate change to long-term urban land surface temperature (ULST) change. The …

Accurate cropland map serves as the cornerstone of effective agricultural monitoring.
Despite the continuous enrichment of remotely sensed cropland maps, pervasive …

Cyberinformatics tools have supported decision makings in agriculture through cutting-edge
big data, artificial intelligence/machine learning (AI/ML), and high-performance computing …

Accurate cropland information is crucial for the assessment of food security and the
formulation of effective agricultural policies. Extracting cropland from remote sensing …

Identifying available farmland suitable for agricultural machinery is the most promising way
of optimizing agricultural production and increasing agricultural mechanization. Farmland …