Hyperspectral data has attracted considerable attention in recent years due to its high
accuracy in monitoring soil salinization. At present, most existing research focuses on the …

Monitoring Land-use/land-cover (LULC) changes are a significant challenge for sustainable
spatial planning, particularly in response to transformation and degenerative landscape …

Social vulnerability helps to explain why communities experience the consequences of an
extreme event, such as an earthquake, differently, even when they are subjected to similar …

Data from remote sensing with finer spectral and spatial resolution are increasingly
available. While this allows more accurate prediction of plant traits at different spatial scales …

It is essential to analyze the spatial autocorrelation and heterogeneity of aboveground
biomass (AGB). But it is difficult to accurately describe due to the lack of data in clear-cutting …

Because of the high cost of manual surveys, the analysis of spatial change of forest structure
at the regional scale faces a difficult challenge. Spaceborne LiDAR can provide global scale …

The investigation of quantitative phenotypic traits resulting from the interaction between
targeted genotypic traits and environmental factors is essential for breeding selection …

RESUMO O Estado do Paraná caracteriza-se por uma grande variabilidade de épocas de
semeadura (DS) e, consequentemente, pelo desenvolvimento máximo vegetativo (DMDV) …

Analyzing vegetation greenness considering climate and land cover changes is crucial for
Bangladesh given the historically drier North-West and South-West regions of Bangladesh …

The survey information from growing regions, the interaction with the vegetation index and
climatic variables is of great importance in the search for soybean productivity increase …