Your search found 9 records
1 Bastiaanssen, W. G. M.; Roest, C. W. J.; Abdel Khalek, M. A.; Pelgrum, H.. 1992. Monitoring crop growth in large irrigation schemes on the basis of actual evapotranspiration: Comparison of remote sensing algorithm and simulation model results. In Feyen, J.; Mwendera, E.; Badji, M. (Eds.), Advances in planning, design and management of irrigation systems as related to sustainable land use: Proceedings of an International Conference organized by the Center for Irrigation Engineering of the Katholieke Universiteit Leuven in cooperation with the European Committee for Water Resources Management, Leuven, Belgium, 14-17 September 1992. Vol. 2. Leuven, Belgium: Center for Irrigation Engineering. pp.473-483.
Crops ; Plant growth ; Monitoring ; Large-scale systems ; Irrigation programs ; Irrigation efficiency ; Monitoring ; Performance evaluation ; Evapotranspiration ; Remote sensing ; Simulation models ; Mapping ; Irrigation management ; Water management ; Computer techniques / Egypt / Nile River
(Location: IWMI-HQ Call no: 631.7.1 G000 FEY Record No: H014428)
2 van den Hurk, B. J. J. M.; Bastiaanssen, W. G. M.; Pelgrum, H.; van Meijgaard, E. 1997. A new methodology for assimilation of initial soil moisture fields in weather prediction models using meteostat and NOAA data. Journal of Applied Meteorology and Climatology, September:1271-1283.
Remote sensing ; Satellite surveys ; Soil moisture ; Climate ; Forecasting ; Evaporation / Iberian Peninsula
(Location: IWMI-HQ Call no: P 5053 Record No: H023867)
(1.50 MB)
3 Wang, J.; Bastiaanssen, W. G. M.; Ma, Y.; Pelgrum, H.. 1998. Aggregation of land surface parameters in the oasis-desert systems of north-west China. Hydrological Processes, 12:2133-2147.
(Location: IWMI-HQ Call no: P 5054 Record No: H023868)
(1.11 MB)
4 Bastiaanssen, W. G. M.; Pelgrum, H.; Wang, J.; Ma, Y.; Moreno, J. F.; Roerink, G. J.; van der Wal, T. 1998. A remote sensing surface energy balance algorithm for land (SEBAL): 2. Validation. Journal of Hydrology, 212/213:213-229.
Remote sensing ; Soil moisture ; Evaporation ; Water balance / Spain / Niger / China / Egypt / Sahel / Nile Delta
(Location: IWMI-HQ Call no: e-copy only Record No: H024216)
(1.98 MB)
5 Bastiaanssen, W. G. M.; Pelgrum, H.; Droogers, P.; de Bruin, H. A. R.; Menenti, M. 1997. Area-average estimates of evaporation, wetness indicators and top soil moisture during two golden days in EFEDA. Agricultural and Forest Meteorology, 87:119-137.
Soil moisture ; Measurement ; Evaporation ; Estimation ; Models ; Remote sensing / Spain / Castilla la Mancha / Tomelloso
(Location: IWMI-HQ Call no: P 5200 Record No: H024692)
6 Bastiaanssen, W. G. M.; Pelgrum, H.; Roerink, G. J.; Soeterik, K. 2001. Soil moisture conditions in The Netherlands during the summer of 1995 interpreted from satellite measurements. In Van Dijk, A.; Bos, M. G. (Eds.) GIS and remote sensing techniques in land and water management. Rotterdam, The Netherlands: Kluwer Academic Publishers. pp.69-86.
(Location: IWMI-HQ Call no: IWMI 621.3678 G916 BAS Record No: H027981)
7 Bastiaanssen, W. G. M.; Zwart, S. J.; Pelgrum, H.. 2003. Remote sensing analysis. In van Dam, J. C.; Malik, R. S. (Eds.), Water productivity of irrigated crops in Sirsa district, India: Integration of remote sensing, crop and soil models and geographical information systems. Haryana, India: Haryana Agricultural University; Colombo, Sri Lanka: International Water Management Institute (IWMI); Wageningen, Netherlands: Wageningen University; Wageningen, Netherlands: WaterWatch. pp.85-100.
Remote sensing ; Satellite surveys ; Wheat ; Rice ; Cotton ; Productivity ; Crop yield / India / Sirsa
(Location: IWMI-HQ Call no: IWMI 631.7.1 G635 VAN Record No: H033895)
(3.65MB)
8 Bastiaanssen, W. G. M.; Noordman, E. J. M.; Pelgrum, H.; Davids, G.; Thoreson, B. P.; Allen, R. G. 2005. SEBAL Model with remotely sensed data to improve water-resources management under actual field conditions. Journal of Irrigation and Drainage Engineering, 131(1):85-93.
Evapotranspiration ; Irrigation management ; Water balance ; Water conservation ; Soil water ; Remote sensing ; Models / USA / Washington / Yakima River Basin
(Location: IWMI-HQ Call no: PER Record No: H037963)
(0.25 MB)
9 Blatchford, M. L.; Mannaerts, C. M.; Njuki, S. M.; Nouri, H.; Zeng, Y.; Pelgrum, H.; Wonink, S.; Karimi, P. 2020. Evaluation of WaPOR V2 evapotranspiration products across Africa. Hydrological Processes, 34(15):3200-3221. [doi: https://doi.org/10.1002/hyp.13791]
Evapotranspiration ; Water productivity ; Remote sensing ; Evaluation ; Water resources ; Water management ; Water balance ; Water availability ; Vegetation ; Uncertainty ; Precipitation ; Energy balance ; Models ; FAO / Africa / Middle East
(Location: IWMI HQ Call no: e-copy only Record No: H049920)
https://onlinelibrary.wiley.com/doi/epdf/10.1002/hyp.13791
https://vlibrary.iwmi.org/pdf/H049920.pdf
https://vlibrary.iwmi.org/pdf/H049920.pdf
(5.66 MB) (5.66 MB)
The Food and Agricultural Organization of the United Nations (FAO) portal to monitor water productivity through open-access of remotely sensed derived data (WaPOR) offers continuous actual evapotranspiration and interception (ETIa-WPR) data at a 10-day basis across Africa and the Middle East from 2009 onwards at three spatial resolutions. The continental level (250 m) covers Africa and the Middle East (L1). The national level (100 m) covers 21 countries and 4 river basins (L2). The third level (30 m) covers eight irrigation areas (L3). To quantify the uncertainty of WaPOR version 2 (V2.0) ETIa-WPR in Africa, we used a number of validation methods. We checked the physical consistency against water availability and the long-term water balance and then verify the continental spatial and temporal trends for the major climates in Africa. We directly validated ETIa-WPR against in situ data of 14 eddy covariance stations (EC). Finally, we checked the level consistency between the different spatial resolutions. Our findings indicate that ETIa-WPR is performing well, but with some noticeable overestimation. The ETIa-WPR is showing expected spatial and temporal consistency with respect to climate classes. ETIa-WPR shows mixed results at point scale as compared to EC flux towers with an overall correlation of 0.71, and a root mean square error of 1.2 mm/day. The level cotency is very high between L1 and L2. However, the consistency between L1 and L3 varies significantly between irrigation areas. In rainfed areas, the ETIa-WPR is overestimating at low ETIa-WPR and underestimating when ETIa is high. In irrigated areas, ETIa-WPR values appear to be consistently overestimating ETa. The relative soil moisture content (SMC), the input of quality layers and local advection effects were some of the identified causes. The quality assessment of ETIa-WPR product is enhanced by combining multiple evaluation methods. Based on the results, the ETIa-WPR dataset is of enough quality to contribute to the understanding and monitoring of local and continental water processes and water management.
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