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Discussion papers | Copyright
https://doi.org/10.5194/nhess-2018-133
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 17 May 2018

Research article | 17 May 2018

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This discussion paper is a preprint. It is a manuscript under review for the journal Natural Hazards and Earth System Sciences (NHESS).

Early warning and drought risk assessment for the Bolivian Altiplano agriculture using high resolution satellite imagery data

Claudia Canedo Rosso1,2, Stefan Hochrainer-Stigler3, Georg Pflug3,4, Bruno Condori5, and Ronny Berndtsson1,6 Claudia Canedo Rosso et al.
  • 1Division of Water Re sources Engineering, Lund University, P.O. Box 118, SE-22100 Lund, Sweden
  • 2Institute of Hydraulics and Hydrology, Mayor University of San Andres, Cotacota 30, La Paz, Bolivia
  • 3International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, A-2361 Laxenburg, Austria
  • 4Institute of Statistics and Operations Research, Faculty of Economics, University of Vienna, Oskar-Morgenstern-Platz 1, 1090 Wien, Austria
  • 5National Institute of Agriculture and Forestry Innovation (INIAF), Batallón Colorados 24, La Paz, Bolivia
  • 6Center for Middle Eastern Studies, Lund University, P.O. Box 201, SE-22100 Lund, Sweden

Abstract. Implementation of agriculturally related early warning systems is fundamental for the management of droughts. Additionally, risk-based approaches are superior in tackling future drought hazards. Due to data-scarcity in many regions, high resolution satellite imagery data are becoming widely used. Focusing on ENSO warm and cold phases, we employ a risk-based approach for drought assessment in the Bolivian Altiplano using satellite imagery data and application of an early warning system. We use a newly established high resolution satellite dataset and test its accuracy as well as performance to similar (but with less resolution) datasets available for the Bolivian Altiplano. It is shown that during the El Niño years (warm ENSO phase), the result is great difference in risk and crop yield. Furthermore, the Normalized Difference Vegetation Index (NDVI) can be used to target specific hot spots on a very local scale. As a consequence, ENSO early warning forecasts as well as possible magnitudes of crop deficits could be established by the government, including an identification of possible hotspots during the growing season. Our approach therefore should not only help in determining the magnitude of assistance needed for farmers on the local scale but also enable a pro-active approach to disaster risk management against droughts that can include economic-related instruments such as insurance as well as risk reduction instruments such as irrigation.

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The climate hazards infrared precipitation with stations—a new environmental record for monitoring extremes C. Funk, P. Peterson, M. Landsfeld, D. Pedreros, J. Verdin, S. Shukla, G. Husak, J. Rowland, L. Harrison, A. Hoell, and J. Michaelsen https://doi.org/10.15780/G2RP4Q

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An early warning system with a risk-based approach for drought assessment in the Bolivian Altiplano was established using satellite imagery data focusing on ENSO phases. During warm ENSO phase resulted a great difference in risk and crop yield. ENSO early warning forecasts and possible crop deficits could be established, including the identification of hotspots for the growing season. Our approach could lead a proactive approach for drought management that can include risk reduction instruments.
An early warning system with a risk-based approach for drought assessment in the Bolivian...
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