15 research outputs found
Using temporal averaging to decouple annual and nonannual information in avhrr ndvi time series
Phenological description of natural vegetation in southern Africa using remotelyâsensed vegetation data
Comparative study of three satellite image time-series decomposition methods for vegetation change detection
Development of a Forest Health Index Using Multispectral Airborne Digital Camera Imagery
Quantitative mapping of global land degradation using Earth observations
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 â 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