article accepted: Effect of Soil And Water Conservation on Vegetation in Burkina Faso

Posted by Sarah Schoenbrodt-Stitt | May 16, 2020 | News, News Publications, WASCAL-DE-Coop, West Africa |

The article entitled “Usage of MODIS NDVI to evaluate the effect of soil and water conservation measures on vegetation in Burkina Faso”, which was co-authored by colleagues from WASCAL in West Africa and from the Department of Remote Sensing has been accepted for publication in Land Degradation and Development. It outlines the usage of MODIS NDVI time series to detect vegetation dynamic trends from 2002 to 2016 as effected by soil and water conservation measures in the Sahel, Sudan-Sahel and Sudan-Guinea climatic zones in Burkina Faso.

Dano region in Southern Burkina Faso. Picture taken in September 2019

Nyamekye , C.; Schönbrodt-Stitt, S.; Amekudzi, L.K.; Zoungrana, B.J.-B.; Thiel, M. Usage of MODIS NDVI to evaluate the effect of soil and water conservation measures on vegetation in Burkina Faso. Land Degradation & Development 2020, doi:10.1002/ldr.3654

About The Author

Sarah Schoenbrodt-Stitt

Sarah Schönbrodt-Stitt has joined the Department of Remote Sensing in April 2016. She is part of the BMBF-project WASCAL-DE-Coop and was previously connected to the projects CAWa (funded by the German Federal Foreign Office) and MedWater (funded by the BMBF). Sarah Schönbrodt-Stitt studied Geography and Geology at the universities of Greifswald and Göttingen. In 2014, she received a Ph.D. in Natural Sciences from the University of Tübingen (Soil Science and Geomorphology) for her work on soil erosion and its dynamics in a highly dynamic, terraced environment with focus on the effect of the Three Gorges Dam in China. Since 2012, she was coordinator of the BMBF-funded Sino-German project ‘YANGTZE GEO’ studying the human-induced environmental changes and geo-hazards in the Three Gorges Reservoir area and was deeply involved in the multi-scale investigation methods and techniques from soil science, geology, hydrology, geophysics, remote sensing, and data survey and monitoring that have been applied in the participating subprojects.