CONTEXT Automated monitoring of the soil-plant-atmospheric continuum at a high
spatiotemporal resolution is a key to transform the labor-intensive, experience-based …

Reliable estimation of region-wide rice yield is vital for food security and agricultural
management. Field-scale models have increased our understanding of rice yield and its …

Accurate and timely monitoring of flooded crop areas is crucial for disaster rescue and loss
assessment. However, most flooded crop monitoring methods based on synthetic aperture …

Mangroves play a significant role in carbon sequestration and storage. Mapping mangrove
species and monitoring their conditions have been a crucial issue for achieving sustainable …

Instance segmentation is the state-of-the-art in object detection, and there are numerous
applications in remote sensing data where these algorithms can produce significant results …

Paddy rice is a staple food of three billion people in the world. Timely and accurate
estimation of the paddy rice planting area and paddy rice yield can provide valuable …

The prediction of land subsidence is a crucial step for early warning of urban infrastructure
damage and timely remedy. However, the performance of most mathematical and empirical …

The rapid advancement of remote sensing technology has significantly enhanced the
temporal resolution of remote sensing data. Multitemporal remote sensing image …

Timely and accurate access to regional scale crop plant area and spatial distribution is
essential for regional agricultural production and food security, especially in the context of …

Fine classification of wetland vegetation communities using machine learning algorithm and
high spatial resolution images have attracted increased attention. However, there exist …