Clouds often cause challenges during the application of optical satellite images. Masking
clouds and cloud shadows is a crucial step in the image preprocessing workflow. The …

Timely and accurate high-resolution annual map** of rice distribution is essential for food
security, greenhouse gas emissions assessment and supporting for sustainable …

Timely and accurate high-resolution annual map** of rice distribution is essential for food
security, greenhouse gas emissions assessment, and support of sustainable development …

The presence of agricultural catchments used for protected agriculture is growing worldwide.
Monitoring studies document regional-scale and long-term impacts of widespread …

Current vegetation indices and biophysical parameters derived from optical satellite data for
forest monitoring are widely used in various applications but can be limited by atmospheric …

Time series analysis of synthetic aperture radar data (SAR) offers a systematic, dynamic and
comprehensive way to monitor forests. The main emphasis of this study is on the …

Optimizing the timing of rice paddy drainage and harvest is crucial for maximizing yield and
quality. These decisions are guided by rice grain moisture content (GMC), which is typically …

Monitoring forest disturbances is crucial for the preservation of biodiversity, climate change
mitigation, and overall ecosystem health. Remote sensing offers a powerful tool for …