Change detection (CD) is one of the most important research areas in remote sensing. With
the fast development of imaging techniques, CD using cross-domain remote sensing images …

Crop phenology has been widely detected from multiple historical satellite observations.
Conversely, Near-Real-Time (NRT) monitoring of crop progress from timely available remote …

Remote sensing multi-decadal time-series provide important information for analysing long-
term environmental change. The Advanced Very High Resolution Radiometer (AVHRR) has …

Abstract Normalized Difference Vegetation Index (NDVI) is an important indicator reflecting
the state of regional climate and environment, which is affected by precipitation …

Accurate and timely crop phenology is essential for efficient crop management and precise
modelling of crop yield and productivity. It has been commonly mapped from moderate or …

Crop phenology indicators provide essential information on crop growth phases, which are
highly required for agroecosystem management and yield estimation. Previous crop …

Abstract Satellite-based Normalized Difference Vegetation Index (NDVI) time series data are
conducive for near-real-time (NRT) monitoring of crop progress, but they commonly suffer …

Large vision and language assistants have enabled new capabilities for interpreting natural
images. These approaches have recently been adapted to earth observation data, but they …

Rapid climate variability and intense human activities generate obvious impacts on the
Qilian Mountains ecosystem. The time series of fractional vegetation coverage (FVC) from …

Deep-learning techniques have made significant advances in remote sensing change
detection task. However, it remains a great challenge to detect the details of changed areas …