Arid
DOI10.3390/rs70505471
Land Degradation Assessment Using Residual Trend Analysis of GIMMS NDVI3g, Soil Moisture and Rainfall in Sub-Saharan West Africa from 1982 to 2012
Ibrahim, Yahaya Z.1; Balzter, Heiko1; Kaduk, Joerg1; Tucker, Compton J.2
通讯作者Ibrahim, Yahaya Z.
来源期刊REMOTE SENSING
ISSN2072-4292
出版年2015
卷号7期号:5页码:5471-5494
英文摘要

Areas affected by land degradation in Sub-Saharan West Africa between 1982 and 2012 are identified using time-series analysis of vegetation index data derived from satellites. The residual trend (RESTREND) of a Normalized Difference Vegetation Index (NDVI) time-series is defined as the fraction of the difference between the observed NDVI and the NDVI predicted from climate data. It has been widely used to study desertification and other forms of land degradation in drylands. The method works on the assumption that a negative trend of vegetation photosynthetic capacity is an indication of land degradation if it is independent from climate variability. In the past, many scientists depended on rainfall data as the major climatic factor controlling vegetation productivity in drylands when applying the RESTREND method. However, the water that is directly available to vegetation is stored as soil moisture, which is a function of cumulative rainfall, surface runoff, infiltration and evapotranspiration. In this study, the new NDVI third generation (NDVI3g), which was generated by the National Aeronautics and Space Administration-Goddard Space Flight Center Global Inventory Modeling and Mapping Studies (NASA-GSFC GIMMS) group, was used as a satellite-derived proxy of vegetation productivity, together with the soil moisture index product from the Climate Prediction Center (CPC) and rainfall data from the Climate Research Unit (CRU). The results show that the soil moisture/NDVI pixel-wise residual trend indicates land degraded areas more clearly than rainfall/NDVI. The spatial and temporal trends of the RESTREND in the region follow the patterns of drought episodes, reaffirming the difficulties in separating the impacts of drought and land degradation on vegetation photosynthetic capacity. Therefore, future studies of land degradation and desertification in drylands should go beyond using rainfall as a sole predictor of vegetation condition, and include soil moisture index datasets in the analysis.


类型Article
语种英语
国家England ; USA
收录类别SCI-E
WOS记录号WOS:000357596200023
WOS关键词DIFFERENCE VEGETATION INDEX ; TIME-SERIES ; SOUTH-AFRICA ; EAST-AFRICA ; NOAA-AVHRR ; SAHEL ; DESERTIFICATION ; CLIMATE ; PRODUCTS ; VARIABILITY
WOS类目Remote Sensing
WOS研究方向Remote Sensing
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/190156
作者单位1.Univ Leicester, Ctr Landscape & Climate Res, Dept Geog, Leicester LE1 7RH, Leics, England;
2.NASA Goddard Space Flight Ctr, Greenbelt, MD 20771 USA
推荐引用方式
GB/T 7714
Ibrahim, Yahaya Z.,Balzter, Heiko,Kaduk, Joerg,et al. Land Degradation Assessment Using Residual Trend Analysis of GIMMS NDVI3g, Soil Moisture and Rainfall in Sub-Saharan West Africa from 1982 to 2012[J],2015,7(5):5471-5494.
APA Ibrahim, Yahaya Z.,Balzter, Heiko,Kaduk, Joerg,&Tucker, Compton J..(2015).Land Degradation Assessment Using Residual Trend Analysis of GIMMS NDVI3g, Soil Moisture and Rainfall in Sub-Saharan West Africa from 1982 to 2012.REMOTE SENSING,7(5),5471-5494.
MLA Ibrahim, Yahaya Z.,et al."Land Degradation Assessment Using Residual Trend Analysis of GIMMS NDVI3g, Soil Moisture and Rainfall in Sub-Saharan West Africa from 1982 to 2012".REMOTE SENSING 7.5(2015):5471-5494.
条目包含的文件
文件名称/大小 资源类型 版本类型 开放类型 使用许可
Land Degradation Ass(4510KB)期刊论文出版稿开放获取CC BY-NC-SA浏览
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Ibrahim, Yahaya Z.]的文章
[Balzter, Heiko]的文章
[Kaduk, Joerg]的文章
百度学术
百度学术中相似的文章
[Ibrahim, Yahaya Z.]的文章
[Balzter, Heiko]的文章
[Kaduk, Joerg]的文章
必应学术
必应学术中相似的文章
[Ibrahim, Yahaya Z.]的文章
[Balzter, Heiko]的文章
[Kaduk, Joerg]的文章
相关权益政策
暂无数据
收藏/分享
文件名: Land Degradation Assessment Using Residual Trend Analysis of GIMMS NDVI3g, Soil Moisture and Rainfall in Sub-Saharan West Africa from 1982 to 2012.pdf
格式: Adobe PDF
此文件暂不支持浏览

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。