FAO’s AVHRR-based Agricultural Stress Index System (ASIS) for global drought monitoring

Hoolst, Roel Van; Eerens, Herman; Haesen, Dominique; Royer, A.; Bydekerke, Lieven; Rojas, Oscar; Li, Yanyun; Racionzer, Paul

doi:10.1080/01431161.2015.1126378

Cited by 45 publications

(16 citation statements)

References 8 publications

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“…The ASI index is internationally comparable and it is now being considered for use in crop insurance, given its importance to predict the weather effects on production, as is demonstrated in Rojas and Shukri () and Van Hoolst et al. (). Although the importance of the weather is recognized, there is hardly any research that takes into account the impact of the weather on crop production at the international scale.…”

Section: Data and Variablesmentioning

confidence: 99%

International aggregate agricultural supply for grain and oilseed: The effects of efficiency and technological change

Clech

Fillat‐Castejón

2017

Agribusiness

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This paper analyses the effects of the main determinants of international aggregate agricultural supply. We propose a new model that captures the farmers' expectations through the storage approach, instead of using Nerlove's basic model. As an innovation, we add the effects of efficiency and technological change directly, thus achieving a more powerful and informative estimation than with the usual dynamic model. Moreover, we consider the effect of climate and construct a sowing and harvesting calendar for each country and each crop to measure the supply more precisely. We also analyze the effects of agricultural prices and their volatility, of commercial policy and of changes in inventories on the suppliers' decisions. Finally, we examine the differences in these determinants depending on the level of development of the countries. [EconLit citations: Q11, Q16, Q18]. Agribusiness. 2017;33:569-585. wileyonlinelibrary.com/journal/agr c 2017 Wiley Periodicals, Inc. 569 570 LE CLECH AND FILLAT-CASTEJÓNWe have also found that the inclusion of EC and TC increases the explanatory power of the proposed model compared to the autoregressive Nerlove's model. Thus, we confirm that this autoregressive component, more than capturing the effect of expectations on prices, is absorbing the effect of the variations in the sector's productivity.Our analysis uses a large sample of representative grains and oilseeds from many countries, which required a great effort to collect and construct. Moreover, we have constructed an international sowing and harvesting calendar by crop and country, which is an essential contribution to the measurement of the aggregate agricultural supply and substantially improves the precision of the analysis. We aim to obtain a more accurate estimate of the effects of changes in fundamental factors, such as prices, economic policy, productive efficiency, and international technology change on the aggregate agricultural supply. Moreover, we study the possible different impacts in each country depending on their level of development.We obtain that both EC and TC have an important positive effect on the aggregate agricultural supply, so they should be taken into account to promote agricultural development. Regarding the effect of prices, we confirmed a low elasticity of the aggregate agricultural supply. Trade policies are effective if they use taxes over prices but they never obtain a significant effect if they use subsidies. Using a novel climate variable, we found a significant impact of adverse effects.Finally, we found that efficiency has a larger effect in highly developed countries, whereas TC is more important in countries with a lower development level.The paper is organized as follows. In Section 1, we review the main literature on the subject. In Section 2, we develop the theoretical framework. In Section 3, we describe the procedures employed to construct the sample and the variables used in the analysis. The econometric models and empirical estimation are presented in Section 4.Section 5 concludes.

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Section: Data and Variablesmentioning

confidence: 99%

International aggregate agricultural supply for grain and oilseed: The effects of efficiency and technological change

Clech

Fillat‐Castejón

2017

Agribusiness

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“…Based on the VHI, the Country-Level ASIS introduces the Mean Vegetation Health Index (M-VHI) [78]. To incorporate different crop phenological sensitivities to water stress over the crop-growing phases, crop coefficient (k c ) [79] values were used for weighting the temporal integration of VHIs during the crop-growing season (denoted as µVHI):…”

Section: Fundamentals Of Global Asis and Country-level Asismentioning

confidence: 99%

“…This record period guarantees that the series contains extreme drought events, which is often not the case when using short series. To achieve this series of satellite data, an "intercalibration" study was carried out using data produced by the NOAA-AVHRR (available since 1984 and has a 16-km resolution) and METOP-AVHRR (available since 2007 and has a 1-km resolution) satellites [70,76,78]. The second step consists of calculating the percentage of agricultural area affected by drought (pixels with M-VHI < 0.35, a value identified as critical in previous studies [71,74,75]) to evaluate the spread of the phenomenon (spatial scale) (see Figure 4b).…”

Section: Fundamentals Of Global Asis and Country-level Asismentioning

confidence: 99%

“…The second step consists of calculating the percentage of agricultural area affected by drought (pixels with M-VHI < 0.35, a value identified as critical in previous studies [71,74,75]) to evaluate the spread of the phenomenon (spatial scale) (see Figure 4b). Therefore, the tool determines the Agricultural Stress Index (ASI), an indicator of anomalies in vegetation growth and potential droughts in cultivated areas during a given agricultural cycle [70,76,78]. The index represents the percentage of pixels of a specific type of crop or land use within each administrative area affected by drought throughout the agricultural cycle.…”

Section: Fundamentals Of Global Asis and Country-level Asismentioning

confidence: 99%

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Agricultural Drought Risk Assessment: A Spatial Analysis of Hazard, Exposure, and Vulnerability in Zacatecas, Mexico

Ortega-Gaucin

Ceballos-Tavares

Sánchez

et al. 2021

Water

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Drought is one of the major threats to water and food security in many regions around the world. The present study focuses on the evaluation of agricultural drought risk from an integrated perspective, that is, emphasizing the combined role of hazard, exposure, and vulnerability to drought. For this purpose, we used the Mexican state of Zacatecas as a case study. This state is one of the most vulnerable to the adverse effects of agricultural drought in the country. The proposed method includes three stages: first, we analyzed the risk of agricultural drought at the municipal scale using the FAO Agricultural Stress Index System (ASIS) in its country version (Country-Level ASIS) and also determined a Drought Hazard Index (DHI). Subsequently, we conducted a municipal assessment of exposure and vulnerability to drought based on a set of socioeconomic and environmental indicators, which we combined using an analytical procedure to generate the Drought Exposure Index (DEI) and the Drought Vulnerability Index (DVI). Finally, we determined a Drought Risk Index (DRI) based on a weighted addition of the hazard, exposure, and vulnerability indices. Results showed that 32% of the state’s municipalities are at high and very high risk of agricultural drought; these municipalities are located mainly in the center and north of the state, where 75.8% of agriculture is rainfed, 63.6% of production units are located, and 67.4% of the state’s population depends on agricultural activity. These results are in general agreement with those obtained by other studies analyzing drought in the state of Zacatecas using different meteorological drought indices, and the results are also largely in line with official data on agricultural surfaces affected by drought in this state. The generated maps can help stakeholders and public policymakers to guide investments and actions aimed at reducing vulnerability to and risk of agricultural drought. The method described can also be applied to other Mexican states or adapted for use in other states or countries around the world.

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“…While the emphasis of this paper is on AVHRR's contributions to building the longest satellite based global climate data record, there are several operational meteorological applications that rely on AVHRR as well. For example, the Sea Surface Temperature (SST) (Ignatov et al 2016) is used by NOAA's CoastWatch program (NOAA 2020), Arctic composite imagery are used for visual interpretation and situational awareness, atmospheric motion vectors over polar regions (Velden et al 2005) are used in Numerical Weather Prediction (NWP) models, global vegetation indices are used for drought monitoring (Van Hoolst et al 2016), and snow and ice cover analysis are used for near real-time monitoring of polar regions (Key et al 2016).…”

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confidence: 99%

The Advanced Very High Resolution Radiometer: Contributing to Earth Observations for over 40 Years

Kalluri

Cao

Heidinger

et al. 2021

Bulletin of the American Meteorological Society

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FAO’s AVHRR-based Agricultural Stress Index System (ASIS) for global drought monitoring

Cited by 45 publications

References 8 publications

International aggregate agricultural supply for grain and oilseed: The effects of efficiency and technological change

International aggregate agricultural supply for grain and oilseed: The effects of efficiency and technological change

Agricultural Drought Risk Assessment: A Spatial Analysis of Hazard, Exposure, and Vulnerability in Zacatecas, Mexico

The Advanced Very High Resolution Radiometer: Contributing to Earth Observations for over 40 Years

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