The wealth of complementary data available from remote sensing missions can hugely aid
efforts towards accurately determining land use and quantifying subtle changes in land use …

As an important application in remote sensing, landcover classification remains one of the
most challenging tasks in very-high-resolution (VHR) image analysis. As the rapidly …

Texture measurements quantitatively describe relationships of DN values of neighbouring
pixels. The output is a continuous measure of spatial information that may be used for further …

Land cover (LC) is the vital foundation to Earth science. Up to now, several global LC
datasets have arisen with efforts of many scientific communities. To provide guidelines for …

This paper presents a compendium of satellites under civilian and/or commercial control
with the potential to gather global land-cover observations. From this we show that a …

Combining observations from multiple optical and synthetic aperture radar (SAR) satellites
can provide temporally dense and regular information at medium resolution scale …

High temporal and spatial resolution optical image time series have been proven efficient for
crop type mapping at the end of the agricultural season. However, due to cloud cover and …

Abstract The Sudanian Savanna (SS) of West Africa is characterized by tropical savannas
and woodlands. Accurate estimation of AGB and carbon stocks in this biome is important for …

Detailed mapping and regular monitoring of tropical rainforests is important for conservation
and management of highly fragmented tropical rainforest habitats and biodiversity. Several …

The estimation of above ground biomass in forests is critical for carbon cycle modeling and
climate change mitigation programs. Small footprint lidar provides accurate biomass …