Abstract Land Use and Land Cover (LULC) map** products are essential for various
environmental studies, including ecological environmental assessments, resource …

Lately, with deep learning outpacing the other machine learning techniques in classifying
images, we have witnessed a growing interest of the remote sensing community in …

Unlike satellite images, which are typically acquired and processed in near-real-time, global
land cover products have historically been produced on an annual basis, often with …

Land use and land cover (LULC) projections are critical for climate models to predict the
impacts of LULC change on the Earth system. Different assumptions and policies influence …

Latest remote sensing sensors are capable of acquiring high spatial and spectral Satellite
Image Time Series (SITS) of the world. These image series are a key component of …

This paper presents an update and extension of HYDE, the History Database of the Global
Environment (HYDE version 3.2). HYDE is an internally consistent combination of historical …

Exploring the spatial distribution of land use/cover change (LUCC) and ecosystem carbon
storage under future climate change scenarios can provide the scientific basis for optimizing …

This paper shows recent progress in our understanding of climate variability and trends in
the Amazon region, and how these interact with land use change. The review includes an …

Changing vegetation cover alters the radiative and non-radiative properties of the surface.
The result of competing biophysical processes on Earth's surface energy balance varies …

Accurate land cover information is required for science, monitoring, and reporting. Land
cover changes naturally over time, as well as a result of anthropogenic activities. Monitoring …