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 …

In this paper, we discuss spatiotemporal data fusion methods in remote sensing. These
methods fuse temporally sparse fine-resolution images with temporally dense coarse …

A timely inventory of agricultural areas and crop types is an essential requirement for
ensuring global food security and allowing early crop monitoring practices. Satellite remote …

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 map** at the end of the agricultural season. However, due to cloud cover and …

Abstract Peatlands in Amazonian Peru are known to store large quantities of carbon, but
there is high uncertainty in the spatial extent and total carbon stocks of these ecosystems …

Fusion of optical and SAR time series imagery has the potential to improve forest monitoring
in tropical regions, where cloud cover limits optical satellite time series observations. We …

Remote sensing technologies can provide objective, practical and cost-effective solutions for
develo** and maintaining REDD+ monitoring systems. This paper reviews the potential …

Accurate land cover map** is important for urban planning and management. Remote
sensing data have been widely applied for urban land cover map**. However, obtaining …

The classification of tropical fragmented landscapes and moist forested areas is a challenge
due to the presence of a continuum of vegetation successional stages, persistent cloud …