Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 410651
Title Quantitative mapping of global land degradation using Earth observations
Author(s) Jong, R. de; Bruin, S. de; Schaepman, M.E.; Dent, D.
Source International Journal of Remote Sensing 32 (2011)21. - ISSN 0143-1161 - p. 6823 - 6853.
Department(s) Laboratory of Geo-information Science and Remote Sensing
International Soil Reference and Information Centre
ICSU World Data Centre for Soils
ISRIC - World Soil Information
Publication type Refereed Article in a scientific journal
Publication year 2011
Keyword(s) net primary production - time-series analysis - terrestrial primary production - difference vegetation index - noaa-avhrr data - spot-vegetation - ndvi data - interannual variability - growing-season - south-africa
Abstract Land degradation is a global issue on par with climate change and loss of biodiversity, but its extent and severity are only roughly known and there is little detail on the immediate processes – let alone the drivers. Earth-observation methods enable monitoring of land degradation in a consistent, physical way and on a global scale by making use of vegetation productivity and/or loss as proxies. Most recent studies indicate a general greening trend, but improved data sets and analysis also show a combination of greening and browning trends. Statistically based linear trends average out these effects. Improved understanding may be expected from data-driven and process-modelling approaches: new models, model integration, enhanced statistical analysis and modern sensor imagery at medium spatial resolution should substantially improve the assessment of global land degradation
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