Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.3390/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
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ISSN | 2072-4292 |
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. |
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Land Degradation Ass(4510KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 |
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