Use of Satellite Information on Wetness and Temperature for Crop Yield Prediction and River Resource Planning

Alan Basist, A. Dinar, B. Blankespoor, David Bachiochi, Harold Houba

Research output: Chapter in Book / Report / Conference proceedingChapterAcademicpeer-review

Abstract

Satellite derived measurements are essential inputs to monitor water management and agricultural production for improving regional food security. Near real-time satellites observations can be used to mitigate the adverse impacts of extreme events and promote climate resilience. Population growth and demand of resources in developing countries will increase vulnerability in agriculture production and are likely to be exacerbated by the effects of climate change. This paper introduces wetness and temperature products as important factors in decision and policy making, especially in regions with sparse surface observations. These objective satellite data serve as: (1) an early detector of growing conditions and thus food supply; (2) an index for insurance programs (i.e. risk management) that can more quickly trigger release of catastrophic bonds to farmers to mitigate crop failure impact; (3) an important educational and informational tool in crop selection, resource management, and other adaptation or mitigation strategies; (4) an important tool in food aid and transport; (5) and management of water resource allocation. The two new indices (surface wetness and temperature) are meant to complement currently available datasets, such as the greenness index, soil moisture measurements, and river guages.
Original languageEnglish
Title of host publicationClimate Smart Agriculture
Subtitle of host publicationBuilding Resilience to Climate Change
EditorsL. Lipper, N. McCarthy, D. Zilberman, S. Asfaw, G. Branca
PublisherSpringer
Chapter4
Pages77-104
Number of pages28
ISBN (Electronic)9783319611945
ISBN (Print)9783319611938
DOIs
Publication statusPublished - 2018

Publication series

NameNatural Resource Management and Policy
PublisherSpringer
Volume52
ISSN (Print)0929-127X
ISSN (Electronic)2511-8560

Fingerprint

crop yield
resource
prediction
river
food aid
crop
temperature
resource allocation
extreme event
food security
food supply
policy making
agricultural production
satellite data
water management
population growth
resource management
vulnerability
mitigation
soil moisture

Cite this

Basist, A., Dinar, A., Blankespoor, B., Bachiochi, D., & Houba, H. (2018). Use of Satellite Information on Wetness and Temperature for Crop Yield Prediction and River Resource Planning. In L. Lipper, N. McCarthy, D. Zilberman, S. Asfaw, & G. Branca (Eds.), Climate Smart Agriculture: Building Resilience to Climate Change (pp. 77-104). (Natural Resource Management and Policy; Vol. 52). Springer. https://doi.org/10.1007%2F978-3-319-61194-5
Basist, Alan ; Dinar, A. ; Blankespoor, B. ; Bachiochi, David ; Houba, Harold. / Use of Satellite Information on Wetness and Temperature for Crop Yield Prediction and River Resource Planning. Climate Smart Agriculture: Building Resilience to Climate Change. editor / L. Lipper ; N. McCarthy ; D. Zilberman ; S. Asfaw ; G. Branca. Springer, 2018. pp. 77-104 (Natural Resource Management and Policy).
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Basist, A, Dinar, A, Blankespoor, B, Bachiochi, D & Houba, H 2018, Use of Satellite Information on Wetness and Temperature for Crop Yield Prediction and River Resource Planning. in L Lipper, N McCarthy, D Zilberman, S Asfaw & G Branca (eds), Climate Smart Agriculture: Building Resilience to Climate Change. Natural Resource Management and Policy, vol. 52, Springer, pp. 77-104. https://doi.org/10.1007%2F978-3-319-61194-5

Use of Satellite Information on Wetness and Temperature for Crop Yield Prediction and River Resource Planning. / Basist, Alan; Dinar, A.; Blankespoor, B.; Bachiochi, David; Houba, Harold.

Climate Smart Agriculture: Building Resilience to Climate Change. ed. / L. Lipper; N. McCarthy; D. Zilberman; S. Asfaw; G. Branca. Springer, 2018. p. 77-104 (Natural Resource Management and Policy; Vol. 52).

Research output: Chapter in Book / Report / Conference proceedingChapterAcademicpeer-review

TY - CHAP

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AU - Bachiochi, David

AU - Houba, Harold

PY - 2018

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AB - Satellite derived measurements are essential inputs to monitor water management and agricultural production for improving regional food security. Near real-time satellites observations can be used to mitigate the adverse impacts of extreme events and promote climate resilience. Population growth and demand of resources in developing countries will increase vulnerability in agriculture production and are likely to be exacerbated by the effects of climate change. This paper introduces wetness and temperature products as important factors in decision and policy making, especially in regions with sparse surface observations. These objective satellite data serve as: (1) an early detector of growing conditions and thus food supply; (2) an index for insurance programs (i.e. risk management) that can more quickly trigger release of catastrophic bonds to farmers to mitigate crop failure impact; (3) an important educational and informational tool in crop selection, resource management, and other adaptation or mitigation strategies; (4) an important tool in food aid and transport; (5) and management of water resource allocation. The two new indices (surface wetness and temperature) are meant to complement currently available datasets, such as the greenness index, soil moisture measurements, and river guages.

U2 - 10.1007%2F978-3-319-61194-5

DO - 10.1007%2F978-3-319-61194-5

M3 - Chapter

SN - 9783319611938

T3 - Natural Resource Management and Policy

SP - 77

EP - 104

BT - Climate Smart Agriculture

A2 - Lipper, L.

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A2 - Zilberman, D.

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A2 - Branca, G.

PB - Springer

ER -

Basist A, Dinar A, Blankespoor B, Bachiochi D, Houba H. Use of Satellite Information on Wetness and Temperature for Crop Yield Prediction and River Resource Planning. In Lipper L, McCarthy N, Zilberman D, Asfaw S, Branca G, editors, Climate Smart Agriculture: Building Resilience to Climate Change. Springer. 2018. p. 77-104. (Natural Resource Management and Policy). https://doi.org/10.1007%2F978-3-319-61194-5