Assessing drought probability for agricultural areas in Africa with coarse resolution remote sensing imagery

Rojas, Oscar; Vrieling, Anton; Rembold, Felix

doi:10.1016/j.rse.2010.09.006

Cited by 287 publications

(181 citation statements)

References 26 publications

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“…There are few studies which attempt to cover more than one region (e.g. Calow et al, 2010;Herweijer and Seager, 2008;Rojas et al, 2011;Naumann et al, 2012;Tadesse et al, 2008;Verschuren, 2004). These and many other studies are comprehensively reviewed and discussed in the following sections.…”

Section: Masih Et Al: a Review Of Droughts On The African Continementioning

confidence: 99%

“…Several remote-sensing-based data and products have been developed over time (e.g. Rojas et al, 2011;Sheffield et al, 2013). These efforts have resulted in significant increase in the scientific literature and databases, which can facilitate continental-scale analysis of droughts in terms of severity, spatial and temporal coverage.…”

Section: Masih Et Al: a Review Of Droughts On The African Continementioning

confidence: 99%

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A review of droughts on the African continent: a geospatial and long-term perspective

Masih

Maskey

Mussá

et al. 2014

Hydrol. Earth Syst. Sci.

513

250

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Abstract. This paper presents a comprehensive review and analysis of the available literature and information on droughts to build a continental, regional and country level perspective on geospatial and temporal variation of droughts in Africa. The study is based on the review and analysis of droughts occurred during 1900-2013, as well as evidence available from past centuries based on studies on the lake sediment analysis, tree-ring chronologies and written and oral histories and future predictions from the global climate change models. Most of the studies based on instrumental records indicate that droughts have become more frequent, intense and widespread during the last 50 years. The extreme droughts of

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Section: Masih Et Al: a Review Of Droughts On The African Continementioning

confidence: 99%

Section: Masih Et Al: a Review Of Droughts On The African Continementioning

confidence: 99%

A review of droughts on the African continent: a geospatial and long-term perspective

Masih

Maskey

Mussá

et al. 2014

Hydrol. Earth Syst. Sci.

513

250

View full text Add to dashboard Cite

show abstract

“…For instance, an earlier (or later) than usual development will in any case generate a positive (or negative) NDVI anomaly in the initial part of the season, even if the overall production is not actually affected. Approaches accounting for vegetation phenology in the analysis of overall growing season productivity have recently been proposed to overcome this possible limitation [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Investigating the Relationship between the Inter-Annual Variability of Satellite-Derived Vegetation Phenology and a Proxy of Biomass Production in the Sahel

et al. 2014

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Abstract:In the Sahel region, moderate to coarse spatial resolution remote sensing time series are used in early warning monitoring systems with the aim of detecting unfavorable crop and pasture conditions and informing stakeholders about impending food security risks. Despite growing evidence that vegetation productivity is directly related to phenology, most approaches to estimate such risks do not explicitly take into account the actual timing of vegetation growth and development. The date of the start of the season (SOS) or of the peak canopy density can be assessed by remote sensing techniques in a timely manner during the growing season. However, there is limited knowledge about the relationship between vegetation biomass production and these variables at the regional scale. This study describes the first attempt to increase our understanding of such a relationship through the analysis of phenological variables retrieved from SPOT-VEGETATION time series of the Fraction of Absorbed Photosynthetically Active Radiation (FAPAR). Two key phenological variables (growing season length (GSL); timing of SOS) and the OPEN ACCESSRemote Sens. 2014, 6 5869 maximum value of FAPAR attained during the growing season (Peak) are analyzed as potentially related to a proxy of biomass production (CFAPAR, the cumulative value of FAPAR during the growing season). GSL, SOS and Peak all show different spatial patterns of correlation with CFAPAR. In particular, GSL shows a high and positive correlation with CFAPAR over the whole Sahel (mean r = 0.78). The negative correlation between delays in SOS and CFAPAR is stronger (mean r = −0.71) in the southern agricultural band of the Sahel, while the positive correlation between Peak FAPAR and CFAPAR is higher in the northern and more arid grassland region (mean r = 0.75). The consistency of the results and the actual link between remote sensing-derived phenological parameters and biomass production were evaluated using field measurements of aboveground herbaceous biomass of rangelands in Senegal. This study demonstrates the potential of phenological variables as indicators of biomass production. Nevertheless, the strength of the relation between phenological variables and biomass production is not universal and indeed quite variable geographically, with large scattered areas not showing a statistically significant relationship.

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“…Recent studies have linked rainfall deficits, soil thermal stress and vegetation growth and mortality to drought [2,3,[5][6][7]9,11,12,15,20,25,[27][28][29][30][31][32]36,[50][51][52], highlighting the need for operational drought monitoring systems that can show drought intensity, location and extent [16]. In response, this study devised an operational procedure and algorithm, a run-off model, from TMPA rainfall and MODIS evapotranspiration products for spatiotemporal drought assessment (Figures 3 and 4).…”

Section: Discussionmentioning

confidence: 99%

Satellite-Based Run-Off Model for Monitoring Drought in Peninsular Malaysia

et al. 2016

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Traditional in situ observation interpolation techniques that provide rainfall data from rain gauges have limitations because they are discrete point-based data records, which may not be sufficient to assess droughts from a spatiotemporal perspective. Considering this limitation, this study has developed a run-off model-a fully satellite-based method for monitoring drought in Peninsular Malaysia. The formulation of the run-off deficit uses a water balance equation based on satellite-based rainfall and evapotranspiration data extracted respectively from calibrated TRMM multi-satellites precipitation analysis data (TMPA) and moderate resolution imaging spectroradiometer data (MODIS). The run-off deficit was calculated based on per pixel spatial scale and allowed to produce the continuous and regular run-off maps. The run-off model was tested and evaluated in a one drought year (2005) within a span of three years (2003)(2004)(2005) over the Kelantan (3448 km 2 ) and Hulu Perak (3672 km 2 ) catchments of Peninsular Malaysia. The validation results show that (1) monthly TMPA rainfall and MODIS evapotranspiration data significantly improved after calibration; (2) satellite-based run-off data is not only strongly correlated with actual steam flow, but also with spatiotemporal variation of run-off in drought-affected forest catchments. The most severely drought-affected forest catchments that experienced the run-off deficits were Hulu Perak, Ulu Gading, Gunung Stong and Relai over Kelantan. The real time run-off change analysis shows that drought started in January and reached its peak in July of 2005. It was therefore demonstrated that this fully satellite-based run-off deficit model is as good as a conventional drought-monitoring indicator, and can provide not only drought distribution information, but it also can reflect the drought-induced impacts on stream flow, forest catchment and land-use.

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Assessing drought probability for agricultural areas in Africa with coarse resolution remote sensing imagery

Cited by 287 publications

References 26 publications

A review of droughts on the African continent: a geospatial and long-term perspective

A review of droughts on the African continent: a geospatial and long-term perspective

Investigating the Relationship between the Inter-Annual Variability of Satellite-Derived Vegetation Phenology and a Proxy of Biomass Production in the Sahel

Satellite-Based Run-Off Model for Monitoring Drought in Peninsular Malaysia

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