期刊
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
卷 33, 期 -, 页码 76-82出版社
ELSEVIER
DOI: 10.1016/j.jag.2014.04.020
关键词
Land degradation; NDVI; RUE; Trend analysis; Land use change; Google Earth
资金
- Centre for International Migration and Development (CIM) of the German Development Organization (GIZ)
- Climate Change Impacts on Ecosystem Services and Food Security in Eastern Africa (CHIESA) project - Finnish Government
Climate variation and land transformations related to exploitative land uses are among the main drivers of vegetation productivity decline and ongoing land degradation in East Africa. We combined analysis of vegetation trends and cumulative rain use efficiency differences (CRD), calculated from 250-m MODIS NDVI time-series data, to map vegetation productivity loss over eastern Africa between 2001 and 2011. The CRD index values were furthermore used to discern areas of particular severe vegetation productivity loss over the observation period. Monthly 25-km Tropical Rainfall Measuring Mission (TRMM) data metrics were used to mask areas of rainfall declines not related to human-induced land productivity loss. To provide insights on the productivity decline, we linked the MODIS-based vegetation productivity map to land transformation processes using very high resolution (VHR) imagery in Google Earth (GE) and a Landsat-based land-cover change map. In total, 3.8 million ha experienced significant vegetation loss over the monitoring period. An overall agreement of 68% was found between the rainfall-corrected MODIS productivity decline map and all reference pixels discernable from GE and the Landsat map. The CRD index showed a good potential to discern areas with 'severe' vegetation productivity losses under high land-use intensities. (C) 2014 Elsevier B.V. All rights reserved.
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