| Title
|
Global Change In Net Primary Productivity (1981-2003) |
| Date
|
2008-10-22T07:00:00 |
| Date type
|
Publication: Date identifies when the resource was issued
|
| Edition
|
First edition |
| Presentation form
|
Digital map: Map represented in raster or vector form
|
| Abstract
|
Land degradation is defined as a long-term decline in ecosystem function and measured in terms of net primary productivity(NPP).
Long-term NPP measurement is not available; the remotely-sensed normalized difference vegetation index (NDVI) is used as
a proxy; its deviation from the norm may serve as an indicator of land degradation and improvement if other factors that may
be responsible (climate, soil, terrain and land use) are accounted for. NDVI is a ratio measuring of photosynthetically
active green biomass. The higher the NDVI, the more living green biomass can be found. There is a high correlation between
NDVI and NPP; the GIMMS NDVI time series has been translated to NPP using MODIS NPP data (Justice and others 2002, Running
and others 2004) for the overlapping period 2000-2003, i.e., NPP was estimated by correlation with MODIS 8-day NPP values
for the overlapping years of the GIMMS and MODIS datasets (2000-2003), re-sampling the annual mean MODIS NPP at 1km resolution
to 8km resolution using nearest-neighbour assignment.
NDVI from July 1981 to December 2003 are produced by the Global Inventory Modelling and Mapping Studies (GIMMS) group from
measurements made by the AVHRR radiometer on board US National Oceanic and Atmospheric Administration satellites. The fortnightly
images at 8km-spatial resolution are corrected for calibration, view geometry, volcanic aerosols, and other effects not related
to vegetation cover (Tucker and others 2004). These data are compatible with those from other sensors such as MODIS, SPOT
Vegetation, and Landsat ETM+ (Tucker and others 2005, Brown and others 2006).
|
| Purpose
|
The translation of NDVI into NPP can provide a measure of land degradation and improvement open to economic analysis. |
| Status
|
Completed: Production of the data has been completed
|
|
|
|
|
|
|
| Descriptive keywords
|
NDVI . |
| Descriptive keywords
|
Land degradation . |
| Descriptive keywords
|
Land improvement , Remote sensing , Rain-use efficiency , GLADA . |
| Descriptive keywords
|
World (place). |
| Spatial representation type
|
Grid: Grid data is used to represent geographic data
|
| Language
|
English |
| Character set
|
UTF8: 8-bit variable size UCS Transfer Format, based on ISO/IEC 10646
|
| Topic category code
|
Environment |
|
|
|
|
| Supplemental Information
|
Within the FAO program Land Degradation Assessment in Drylands (LADA), the present "Global Assessment of Land Degradation
and Improvement" uses remote sensing to identify areas where significant biological change is happening, both hot spots of
land degradation and bright spots of land improvement. In the next phase of the program, hot spots and bright spots will
be further characterised in the field by national teams.
|