International organizations such as FAO, OECD, and EUROSTAT have long sought harmonized methods for land use monitoring. This ...

A new future land use map to guide growth over the next 20 years met with some skepticism from Athens-Clarke County ...

At the frontier of land science, GeoAI integrates Earth observation, machine learning, and deep learning to produce ...

Councillors are set to approve plans for 40 affordable homes in a Powys village despite strong opposition from local ...

Accurate land cover mapping underpins biodiversity protection, climate adaptation, and sustainable land use. Despite advances ...

Land use and land cover (LULC) information underpins studies in climate science, disaster management, food security, and ...

Abstract: Hyperspectral image (HSI) classification plays a key role in remote sensing applications such as land cover mapping and environmental monitoring. Mamba is a state-space-based model that has ...

A survey of Colombian birdlife, which evolved over more than a decade into the world’s largest-ever ornithological study, has ...

Land cover is constantly changing due to climate pressures and human activities, yet traditional satellite monitoring often misses rapid events. A new multimodal framework, FROM-GLC Plus 3.0, ...

Harvest data from Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES) part of the Australian Department of Agriculture, Fisheries and Forestry and the Australian Bureau of ...

Abstract: As an important problem in earth observation, aerial scene classification tries to assign a specific semantic label to an aerial image. The land use land cover (LULC) classification in the ...