S
Sander J. Zwart
Researcher at International Water Management Institute
Publications - 68
Citations - 3194
Sander J. Zwart is an academic researcher from International Water Management Institute. The author has contributed to research in topics: Evapotranspiration & Agriculture. The author has an hindex of 21, co-authored 63 publications receiving 2496 citations. Previous affiliations of Sander J. Zwart include University of Twente & Africa Rice Center.
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Review of measured crop water productivity values for irrigated wheat, rice, cotton and maize
TL;DR: In this paper, a review of 84 literature sources with results of experiments not older than 25 years, it was found that the ranges of CWP of wheat, rice, cotton and maize exceed in all cases those reported by FAO earlier.
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Evaluation and comparison of satellite-based rainfall products in Burkina Faso, West Africa
Moctar Dembélé,Sander J. Zwart +1 more
TL;DR: In this paper, the performance of seven operational high-resolution satellite-based rainfall products (ARC, RFE, TARCAT, CHIRPS, PERSIANN, African Rainfall Estimation RFE 2.0, Tropical Applications of Meteorology using SATellite TAMSAT, AfricanRainfall Climatology and Time-series TARCat, and Tropical Rainfall Measuring Mission TRMM daily and monthly estimates) was investigated for Burkina Faso.
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Impacts of climate change on rice production in Africa and causes of simulated yield changes
TL;DR: For East Africa to benefit from climate change, improved water and nutrient management will be needed to benefit fully from the more favourable temperatures and increased CO2 concentrations and more research is needed on photosynthesis processes at extreme temperatures and on adaptation options such as shifting sowing dates.
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The surface heat island of Rotterdam and its relationship with urban surface characteristics
TL;DR: In this paper, the authors used thermal infrared high resolution satellite images from Landsat sensors to spatially quantify the surface heat island (SHI) of Rotterdam in the Netherlands.
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SEBAL for detecting spatial variation of water productivity and scope for improvement in eight irrigated wheat systems
TL;DR: In this paper, a methodology has been developed to quantify spatial variation of crop yield, evapotranspiration (ET) and water productivity (WPET) using the SEBAL algorithm and high and low resolution satellite images.