E
E. M. Haas
Publications - 7
Citations - 1214
E. M. Haas is an academic researcher. The author has contributed to research in topics: Radiometer & Geology. The author has an hindex of 5, co-authored 6 publications receiving 906 citations.
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Journal ArticleDOI
ESA CCI Soil Moisture for improved Earth system understanding : State-of-the art and future directions
Wouter Dorigo,Wolfgang Wagner,Clément Albergel,Franziska Albrecht,Gianpaolo Balsamo,Luca Brocca,Daniel Chung,Martin Ertl,Matthias Forkel,Alexander Gruber,E. M. Haas,P. D. Hamer,Martin Hirschi,Jaakko Ikonen,Richard de Jeu,R. Kidd,William Lahoz,Yi Y. Liu,Diego G. Miralles,Diego G. Miralles,Thomas Mistelbauer,Nadine Nicolai-Shaw,Robert Parinussa,Chiara Pratola,Chiara Pratola,Christoph Reimer,Robin van der Schalie,Sonia I. Seneviratne,Tuomo Smolander,Pascal Lecomte +29 more
TL;DR: The European Space Agency (ESA) released the first multi-decadal, global satellite-observed soil moisture (SM) dataset as part of its Climate Change Initiative (CCI) program.
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Fusion of active and passive microwave observations to create an Essential Climate Variable data record on soil moisture
Wolfgang Wagner,Wouter Dorigo,R.A.M. de Jeu,D. Fernandez,Jérôme Benveniste,E. M. Haas,M. Ertl +6 more
TL;DR: In this paper, a high-level possible approach for fusing the individual satellite data sets is presented, where the best possible approach is to merge Level 2 soil moisture data derived from different satellite data records.
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Time Series Analysis of Optical Remote Sensing Data for the Mapping of Temporary Surface Water Bodies in Sub-Saharan Western Africa
TL;DR: In this paper, a map of temporary small water bodies (TSWB) at 1 km resolution was derived for the arid, semi-arid and dry sub-humid regions of sub-Saharan western Africa where the spatio-temporal distribution of actual surface water occurrence exhibits high inter-and intra-annual variability.
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Remotely sensed surface water extent as an indicator of short-term changes in ecohydrological processes in sub-Saharan Western Africa
TL;DR: In this paper, the authors analyzed time series of remotely sensed vegetation cover, rainfall and surface water extent for the period 1999-2008, and could detect and statistically demonstrate the links between these biophysical variables.
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Operational monitoring of water bodies in arid and semiarid regions with SPOT-VEGETATION satellite: Contribution of Eumetcast and recent research projects
TL;DR: In this paper, the authors propose a systeme de suivi de l’eau de surface, which constitutes an Eumetcast d’Eumetsat system.