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Long term NOAA-AVHRR GIMMS-NDVI - rainfall relationships and trends 1981 to 2003 for entire DeSurvey area of interest

Töttrup, Christian and Helldén, Ulf LU (2007) In FP6, DeSurvey IP, Sub-deliverable 1.5.1.17 (1), Deliverables data base FP6, DeSurvey IP, Sub-deliverable 1.5.1.17 (1).
Abstract
The paper presents results of a study on the use of the NOAA AVHRR data for desertification monitoring on a regional-global level. It is based on processing of the GIMMS 8 km global NDVI data set. Time series of annual integrated NDVI and standardized annual NDVI anomalies from the 1981-2003 periodic means were compared with a corresponding rainfall data set (i.e. 1981-2003) as well as a historical rainfall set (1901-2002). Both sets were derived from 2.5 degrees and 0.5 degrees global gridded climate data respectively.



The areas studied include the Mediterranean basin (Southern Europe and Northern Africa), the Sahel from the Atlantic to the Red Sea, major parts of the drylands of Southern Africa, China and the drylands... (More)
The paper presents results of a study on the use of the NOAA AVHRR data for desertification monitoring on a regional-global level. It is based on processing of the GIMMS 8 km global NDVI data set. Time series of annual integrated NDVI and standardized annual NDVI anomalies from the 1981-2003 periodic means were compared with a corresponding rainfall data set (i.e. 1981-2003) as well as a historical rainfall set (1901-2002). Both sets were derived from 2.5 degrees and 0.5 degrees global gridded climate data respectively.



The areas studied include the Mediterranean basin (Southern Europe and Northern Africa), the Sahel from the Atlantic to the Red Sea, major parts of the drylands of Southern Africa, China and the drylands of South America, i.e. important parts of the desertification prone areas of the world (Cf. fig. 1)



It is concluded that the suggested methodology is a robust and reliable way to assess and monitor desertification on a global, national and regional scale. The results of the applied methodology indicate a strong general relationship between NDVI and rainfall over time. The results of performed trend analysis cannot be used to verify any systematic generic land degradation/desertification trend at the regional-global level in any of the regions studied. On the contrary, a “greening-up” seems to be evident over the past 20 years in several of the regions when interpreting the NDVI as a proxy for biomass cover and seasonal vegetation growth.



This is most obvious in the African Sahel region south of the Sahara. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Book/Report
publication status
published
subject
keywords
Remote sensing, land degradation, global biomass monitoring, desertification
in
FP6, DeSurvey IP, Sub-deliverable 1.5.1.17 (1), Deliverables data base
volume
FP6, DeSurvey IP, Sub-deliverable 1.5.1.17 (1)
pages
108 pages
publisher
DeSurvey IP & Department of Physical Geography and Ecosystems Analysis
external identifiers
  • Other:EU FP6 DeSurvey Project No.: 003950
project
FP6, DeSurvey IP 2005-2010, A Surveillance System for Assessing and Monitoring Desertification
language
English
LU publication?
yes
id
6b092939-f255-48cc-afd1-0407d7979eb4 (old id 623386)
date added to LUP
2007-12-17 13:58:38
date last changed
2016-04-16 10:26:29
@misc{6b092939-f255-48cc-afd1-0407d7979eb4,
  abstract     = {The paper presents results of a study on the use of the NOAA AVHRR data for desertification monitoring on a regional-global level. It is based on processing of the GIMMS 8 km global NDVI data set. Time series of annual integrated NDVI and standardized annual NDVI anomalies from the 1981-2003 periodic means were compared with a corresponding rainfall data set (i.e. 1981-2003) as well as a historical rainfall set (1901-2002). Both sets were derived from 2.5 degrees and 0.5 degrees global gridded climate data respectively.<br/><br>
<br/><br>
The areas studied include the Mediterranean basin (Southern Europe and Northern Africa), the Sahel from the Atlantic to the Red Sea, major parts of the drylands of Southern Africa, China and the drylands of South America, i.e. important parts of the desertification prone areas of the world (Cf. fig. 1)<br/><br>
<br/><br>
It is concluded that the suggested methodology is a robust and reliable way to assess and monitor desertification on a global, national and regional scale. The results of the applied methodology indicate a strong general relationship between NDVI and rainfall over time. The results of performed trend analysis cannot be used to verify any systematic generic land degradation/desertification trend at the regional-global level in any of the regions studied. On the contrary, a “greening-up” seems to be evident over the past 20 years in several of the regions when interpreting the NDVI as a proxy for biomass cover and seasonal vegetation growth. <br/><br>
<br/><br>
This is most obvious in the African Sahel region south of the Sahara.},
  author       = {Töttrup, Christian and Helldén, Ulf},
  keyword      = {Remote sensing,land degradation,global biomass monitoring,desertification},
  language     = {eng},
  pages        = {108},
  publisher    = {ARRAY(0xaaa8d90)},
  series       = {FP6, DeSurvey IP, Sub-deliverable 1.5.1.17 (1), Deliverables data base},
  title        = {Long term NOAA-AVHRR GIMMS-NDVI - rainfall relationships and trends 1981 to 2003 for entire DeSurvey area of interest},
  volume       = {FP6, DeSurvey IP, Sub-deliverable 1.5.1.17 (1)},
  year         = {2007},
}