Analyzing satellite images and remote sensing (RS) data using artificial intelligence (AI)
tools and data fusion strategies has recently opened new perspectives for environmental …

Interest in knowing more about the Earth's land cover and how it has changed over time
motivated the mission and sensor design of early terrestrial remote sensing systems. Rapid …

Accuracy assessment and land cover map** have been inexorably linked throughout the
first 50 years of publication of Remote Sensing of Environment. The earliest developers of …

Bangladesh is one of the most flood-affected countries in the world. In the last few decades,
flood frequency, intensity, duration, and devastation have increased in Bangladesh …

Abstract Knowledge of tree species is required to inform management, planning, and
monitoring of forests as well as to characterize habitat and ecosystem function. Remotely …

Abstract Ecosystem Services (ESs) refer to the direct and indirect contributions of
ecosystems to human well-being and subsistence. Ecosystem valuation is an approach to …

Land cover classification of large geographic areas over multiple decades at an annual time
step is now possible based upon free and open access to the Landsat data archive. Annual …

Spatial autocorrelation is inherent to remotely sensed data. Nearby pixels are more similar
than distant ones. This property can help to improve the classification performance, by …

A major issue in land cover map** is classifier selection. Here we investigated classifier
performance under different sample sizes, reference class distribution, and scene …

Computational and data handling limitations have constrained time-series analyses of land-
cover change at high-spatial resolution over large (eg, continental) extents. However, a new …