Abstract
More than ever, there is a need from policy and decision makers, national governments, nongovernmentalorganizations, international initiatives, scientists, and individual citizens for timelyand accurate spatially-explicit information on Earth’s physical surface cover and the socio-economicfunction of land at multiple scales. Information on land-cover, land-use patterns and monitoring oftheir changes, can support regional policies and local action for sustainable development in terms ofefficiency in resources use, disaster risk reduction, and environmental protection [...]
Highlights
More than ever, there is a need from policy and decision makers, national governments, non-governmental organizations, international initiatives, scientists, and individual citizens for timely and accurate spatially-explicit information on Earth’s physical surface cover and the socio-economic function of land at multiple scales
Since the process and driving forces of change usually operate at multiple scales, it is important to capture and synthesize information on the land-cover and land-use patterns in regional, wall-to-wall maps, as well as at sub-regional, national, and local scales
The availability of satellite data with improved characteristics at low or no cost, the technological evolution of Unmanned Aerial Systems (UAS) in terms of autonomy and payload capacity, the introduction of robust algorithms, and the advent of data processing and distribution technology, have motivated the progress of research and efforts from the remote-sensing community to cover the information needs on land use/land cover mapping at appropriate scales
Summary
There is a need from policy and decision makers, national governments, non-governmental organizations, international initiatives, scientists, and individual citizens for timely and accurate spatially-explicit information on Earth’s physical surface cover and the socio-economic function of land at multiple scales. The availability of satellite data with improved characteristics at low or no cost, the technological evolution of Unmanned Aerial Systems (UAS) in terms of autonomy and payload capacity, the introduction of robust algorithms, and the advent of data processing and distribution technology, have motivated the progress of research and efforts from the remote-sensing community to cover the information needs on land use/land cover mapping at appropriate scales.
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