Using high resolution satellite imagery to estimate cropped area in Guatemala and Haiti

K. Grace; G. J. Husak; L. Harrison; D. Pedreros; J. Michaelsen

doi:10.1016/j.apgeog.2011.05.014

Using high resolution satellite imagery to estimate cropped area in Guatemala and Haiti

K. Grace, G. J. Husak, L. Harrison, D. Pedreros, J. Michaelsen

Research output: Contribution to journal › Article › peer-review

17 Scopus citations

Abstract

Guatemala and Haiti are two of the most food insecure nations in the Western Hemisphere. Measurements of food availability and access are instrumental in developing targeted hunger reduction strategies yet no estimates of cropped area (a critical input in the calculation of food production) at either a national or sub-national-level exist. The purpose of this research is to produce estimates of cropped area for Guatemala and Haiti using an area frame sampling approach and very high resolution (∼1. m) satellite imagery. Related research has combined livelihood data with topographic information to construct cropped area estimates in other settings using generalized additive models. We expand this approach with the inclusion of specific population variables in place of the livelihood data. We produce estimates of cropped area for the two countries and sub-national units and our results highlight the significance and complexity of incorporating explicit population characteristics into models of cropped area.

Original language	English (US)
Pages (from-to)	433-440
Number of pages	8
Journal	Applied Geography
Volume	32
Issue number	2
DOIs	https://doi.org/10.1016/j.apgeog.2011.05.014
State	Published - Mar 2012
Externally published	Yes

Bibliographical note

Funding Information:
The authors wish to thank the editor of Applied Geography, Dr. Jay Gatrell, for his assistance and guidance in the preparation of this manuscript for publication. Thanks also to Lindsey Everett and Trevor Cunningham for cartographic support and data assistance. Thanks to Joaquin Polania for his assistance and support. The authors also wish to thank Dr. Jim Verdin, Jim Rowland, Gary Eilerts and Dr. Jude Mikal for their comments on earlier versions of this paper. Finally, the authors appreciate the very helpful and insightful comments, questions and suggestions of two anonymous reviewers. This work was supported by the US Agency for International Development through a US Geological Survey cooperative agreement (04HQAG0001) and a US Department of Agriculture foreign agriculture grant (58-3148-6-137). The very high resolution imagery is licensed under NextView (c) 2010 DigitalGlobe.

Keywords

Cropped area
Food availability
GIS
Population-environment
Remote sensing

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.apgeog.2011.05.014

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title = "Using high resolution satellite imagery to estimate cropped area in Guatemala and Haiti",

abstract = "Guatemala and Haiti are two of the most food insecure nations in the Western Hemisphere. Measurements of food availability and access are instrumental in developing targeted hunger reduction strategies yet no estimates of cropped area (a critical input in the calculation of food production) at either a national or sub-national-level exist. The purpose of this research is to produce estimates of cropped area for Guatemala and Haiti using an area frame sampling approach and very high resolution (∼1. m) satellite imagery. Related research has combined livelihood data with topographic information to construct cropped area estimates in other settings using generalized additive models. We expand this approach with the inclusion of specific population variables in place of the livelihood data. We produce estimates of cropped area for the two countries and sub-national units and our results highlight the significance and complexity of incorporating explicit population characteristics into models of cropped area.",

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author = "K. Grace and Husak, {G. J.} and L. Harrison and D. Pedreros and J. Michaelsen",

note = "Funding Information: The authors wish to thank the editor of Applied Geography, Dr. Jay Gatrell, for his assistance and guidance in the preparation of this manuscript for publication. Thanks also to Lindsey Everett and Trevor Cunningham for cartographic support and data assistance. Thanks to Joaquin Polania for his assistance and support. The authors also wish to thank Dr. Jim Verdin, Jim Rowland, Gary Eilerts and Dr. Jude Mikal for their comments on earlier versions of this paper. Finally, the authors appreciate the very helpful and insightful comments, questions and suggestions of two anonymous reviewers. This work was supported by the US Agency for International Development through a US Geological Survey cooperative agreement (04HQAG0001) and a US Department of Agriculture foreign agriculture grant (58-3148-6-137). The very high resolution imagery is licensed under NextView (c) 2010 DigitalGlobe.",

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AU - Harrison, L.

AU - Pedreros, D.

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AB - Guatemala and Haiti are two of the most food insecure nations in the Western Hemisphere. Measurements of food availability and access are instrumental in developing targeted hunger reduction strategies yet no estimates of cropped area (a critical input in the calculation of food production) at either a national or sub-national-level exist. The purpose of this research is to produce estimates of cropped area for Guatemala and Haiti using an area frame sampling approach and very high resolution (∼1. m) satellite imagery. Related research has combined livelihood data with topographic information to construct cropped area estimates in other settings using generalized additive models. We expand this approach with the inclusion of specific population variables in place of the livelihood data. We produce estimates of cropped area for the two countries and sub-national units and our results highlight the significance and complexity of incorporating explicit population characteristics into models of cropped area.

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Using high resolution satellite imagery to estimate cropped area in Guatemala and Haiti

Abstract

Bibliographical note

Keywords

UN SDGs

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