Diouf, A.A.; Hiernaux, P.; Brandt, M.; Faye, G.; Djaby, B.; Diop, M.B.; Ndione, J.A.; Tychon, B. Do Agrometeorological Data Improve Optical Satellite-Based Estimations of the Herbaceous Yield in Sahelian Semi-Arid Ecosystems? Remote Sens. 2016, 8, 668. Quantitative estimates of forage availability at the end of the growing season in rangelands are helpful for pastoral livestock … Continue reading Integrating meteorological data in biomass prediction models
We had three presentations at this years AGU fall meeting in San Francisco. Find the posters and presentations as PDFs here (the copyright is with the authors): Feng Tian, Martin Brandt, Yi Liu, Rasmus Fensholt. Remote sensing of biomass dynamics in drylands: Evaluating vegetation optical depth (VOD) using AVHRR NDVI and in situ data. AGU … Continue reading AGU 2015
Together with my colleagues Rasmus Fensholt, Stephanie Horion and Torbern Tagesson we edit a special issue for the open access journal Remote Sensing and we want to encourage everyone working with remote sensing and land degradation to submit a well prepared manuscript. The submission deadline is 31 May 2016. Find below the introduction text from … Continue reading Special Issue: Remote Sensing of Land Degradation and Drivers of Change
From: Diouf, A.A., Brandt, M., Verger, A., Jarroudi, M.E., Djaby, B., Fensholt, R., Ndione, J.A., Tychon, B., 2015. Fodder Biomass Monitoring in Sahelian Rangelands Using Phenological Metrics from FAPAR Time Series. Remote Sensing 7, 9122–9148. doi:10.3390/rs70709122 Livestock farming constitutes the most widespread human activity and the dominant land use in rangeland ecosystems. At a global … Continue reading Fodder Biomass Monitoring in Sahelian Rangelands Using Phenological Metrics from FAPAR Time Series
From: Mbow, C.; Brandt, M.; Ouedraogo, I.; de Leeuw, J.; Marshall, M. What Four Decades of Earth Observation Tell Us about Land Degradation in the Sahel? Remote Sens. 2015, 7, 4048-4067. Land degradation mechanisms are related to two main categories, one related to climate change and one associated with local human impact, mostly land use … Continue reading What Four Decades of Earth Observation Tell us about Land Degradation in the Sahel
GIMMS3g NDVI is widely used to assess vegetation trends from local to global scale. And even though it is the best long term dataset available right now (July 2015), people should be aware that a serious error affects the dataset in semi arid areas, like the Sahel, which has severe impacts on trend analysis. The … Continue reading Be cautious using GIMMS3g v0 for trend analysis!