Land Degradation Assessment in Drylands (GLADA)


Wijzig gegevens

Titel Land Degradation Assessment in Drylands (GLADA)
Looptijd 2006 - 2009
Status Afgesloten
Onderzoeknummer OND1317423
Leverancier gegevens ISRIC

Samenvatting (EN)

Ever-increasing demands on the land from economic development, burgeoning cities and growing rural populations are driving unprecedented land use change. In turn, land use change is driving land degradation: soil erosion, nutrient depletion, salinity, water scarcity, pollution, disruption of biological cycles, and loss of biodiversity. This is a global issue (UNCED 1992, UNEP 2006), yet there is no authoritative measure of land degradation or its counterpoint land improvement. The only harmonized assessment, the Global Assessment of Human-induced Soil Degradation is a map of perceptions on the type and degree of degradation. Dating from 1991, it is now out-of-date.
There is pressing need for an up-to-date, quantitative and reproducible assessment to support policy development for food and water security, environmental integrity, and national strategies for economic development and resource conservation. In response, within the GEF-UNEP-FAO program Land Degradation in Drylands, the Global Assessment of Land Degradation and Improvement (GLADA) will identify:
1) the status and trends of land degradation,
2) hotspots suffering extreme constraints or at severe risk and, also, areas where degradation has been arrested or reversed.
Biomass is an integrated measure of biological productivity. Its deviance from the local norm may be taken as a measure of land degradation or improvement. Changes in biomass may be measured by remote sensing of the normalized difference vegetation index (NDVI - the difference between reflected near-infrared and visible wavebands divided by the sum of these two wavebands). NDVI has a strong, linear relationship with the fraction of photo synthetically active radiation absorbed by the plant; it is strongly correlated with vegetation cover and above-ground net primary productivity. Norms may be established by stratifying the land area according to climate, soils and terrain, and land use/vegetation; deviance may then be calculated regionally and combined globally to allow universal comparisons.
FAO has commissioned ISRIC to undertake pilot studies to:
1. Elaborate the general approach to map global land degradation by analysis of the GIMMS dataset of 8km-resolution NDVI data;
2. Analyse other global databases, in particular the Soil and Terrain database (SOTER), in support of the general NDVI methodology;
3. Illustrate the approach developed under 1 and 2 with case studies in North China and Kenya;
4. Compare the results for Kenya with results from a high-resolution land cover change study produced by the Global Land Cover Network.
The general approach developed for GLADA involves a sequence of analyses to identify land degradation hotspots using remotely sensed data and existing datasets: first using simple NDVI indicators such as mean annual sum NDVI (surrogate for mean annual biomass production) and the trend of biomass production; secondly integration of biomass and climatic data (rain-use efficiency); thirdly, stratification of the landscape using land cover and soil and terrain data to enable a more localised analysis of the NDVI data. Most of the development work has gone into algorithms that enable these screening analyses to be undertaken automatically. At the next stage, the identified hotspots will be characterised manually, using 30m-resolution Landsat data, to identify the probable kinds of land degradation, preliminary to field examination by national teams within the wider LADA program

Betrokken organisaties

Betrokken personen

Projectleider Drs. G.W.J. van Lynden


D15100 Geochemie, geofysica
D16400 Informatiesystemen, databases
D18130 Bodem

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