Vegetation greenness has been increasing globally since at least 1981, when satellite
technology enabled large-scale vegetation monitoring. The greening phenomenon, together …

A systematic review and inventory of recent research relating to optical remote sensing of
Arctic vegetation was conducted, and thematic and geographical trends were summarized …

Leaf area index (LAI) and leaf dry matter (LDM) are important indices of crop growth. Real-
time, nondestructive monitoring of crop growth is instructive for the diagnosis of crop growth …

Mangroves are coastal vegetation with high ecological and economic value that are mainly
distributed in tropical and subtropical intertidal zones. In the past, they have been degraded …

Machine learning (ML) techniques have been utilized for the crop monitoring and yield
estimation/prediction using remotely sensed data. However, these methods have been …

The considerable interest in detecting global vegetation changes based on satellite
observations is increasing. However, studies rely on single indices to explore the driving …

Increasing evidence suggests that remotely sensed spectral diversity is linked to plant
species richness. However, a conflicting spectral diversity–biodiversity relationship in …

Rapid and effective access to the spatiotemporal patterns and evolutionary trends of the
regional eco-environment is key to regional environment protection and planning. Based on …

Stakeholders, policy makers, government planners and agricultural market participants in
Central Eastern Europe require accurate and timely information about wheat and maize …

Irrigation plays a fundamental role in sustanining the productivity of agricultural systems in
the inland arid area of midwestern China. Deficit irrigation can help to balance yield …