Publication Type
Journal Article
Journal Name
International Journal of Applied Earth Observation and Geoinformation
Publication Date
1-1-2014
Abstract
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 MODISNDVI 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) datametrics 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. © 2014 Elsevier B.V.
Keywords
Google earth, Land degradation, Land use change, NDVI, RUE, Trend analysis
Recommended Citation
Landmann, T., & Dubovyk, O. (2014). Spatial analysis of human-induced vegetation productivity decline over eastern Africa using a decade (2001-2011) of medium resolution MODIS time-series data. International Journal of Applied Earth Observation and Geoinformation, 33 (1), 76-82. https://doi.org/10.1016/j.jag.2014.04.020