ITEM METADATA RECORD
Title: Detecting the impact of the “Grain for Green” program on the mean annual vegetation cover in the Shaanxi province, China using SPOT-VGT NDVI data
Authors: Zhou, Hongjian ×
Van Rompaey, Anton
Wang, Jing'ai #
Issue Date: 2009
Publisher: Butterworths
Series Title: Land Use Policy vol:26 issue:4 pages:954-960
Abstract: In order to reduce the soil erosion rate on the Chinese Loess Plateau, the Chinese government launched
in 1999 the “Grain for Green” program (GfG). The objective of this program was to increase the forest
cover on steep slopes in the landscape by planting trees and sowing grasses on former cropland. The
program was a massive investment by the Chinese government. By the end of 2005 the GfG-program was
implemented in an area of 87,000km2 in which about 400–600 million trees were planted. At present
it is not known to what extent this program was successful. This paper examines the effects of the GfGprogram
on the mean annual vegetation cover in the Shaanxi province. A decadal time series of SPOT
VEGETATION imagery from 1998 till 2005 were used to calculate NDVI-values in four counties with different
rainfall regimes. By means of a regression between preceding rainfall and NDVI-values the effects
of rainfall variability were filtered out. A trend analysis of the corrected NDVI time series pointed out
that the GfG-program resulted in a significant increase of the vegetation cover on farmland in the northern
part of Shaanxi province. In the southern part of the province, which has a more humid climate and
large areas of irrigation farmland no significant increase of the vegetation cover on farmland could be
detected.
ISSN: 0264-8377
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Division of Geography & Tourism
× corresponding author
# (joint) last author

Files in This Item:
File Description Status SizeFormat
NDVI-china.pdf Published 772KbAdobe PDFView/Open Request a copy

These files are only available to some KU Leuven Association staff members

 




All items in Lirias are protected by copyright, with all rights reserved.

© Web of science