Methodology for estimating economic losses of corn crops damaged by floods using remote sensing

Authors

DOI:

https://doi.org/10.4067/S0718-34022021000200207

Keywords:

Floods, Spectral indexes, Corn Crop, Economic estimates

Abstract

The flooded areas of corn cultivation were determined by means of satellite images in order to know the economic losses due to floods. As a case study, a flood that occurred in 2016 that affected 4 municipalities in the State of Tabasco, Mexico, was analyzed. The methodology included the use of Landsat satellite images (L8), calculation of spectral indices (water, vegetation and humidity), identification of corn growing areas through supervised classification and the estimation of economic losses. The results show that the spectral indices that best managed to identify the flooded areas were: MNDWI and NDWI. To report damages, values in USD (US dollars) were standardized in 2016 prices using exchange rates adjusted for purchasing power parity (PPP). For the case study, the results of damages per hectare were established between 728.57 USD / ha in PPP and 317.25 USD / ha in PPP, which agree with the estimates made in other countries for corn crops.

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Author Biographies

Rogelio Baltazar-Ascención, Universidad Autónoma del Estado de México

Universidad Autónoma del Estado de México- Instituto Interamericano de Tecnología y Ciencias del Agua

Carlos Alberto Mastachi-Loza, Universidad Autónoma del Estado de México

Universidad Autónoma del Estado de México- Instituto Interamericano de Tecnología y Ciencias del Agua

Marivel Hernández-Téllez, Universidad Autónoma del Estado de México

Universidad Autónoma del Estado de México- Instituto Interamericano de Tecnología y Ciencias del Agua

Rocio Becerril-Piña, Universidad Autónoma del Estado de México

Universidad Autónoma del Estado de México- Instituto Interamericano de Tecnología y Ciencias del Agua

Red Lerma

References

ACHARYA, T.D., SUBEDI, A., YANG, I.T. y LEE, D.H., 2017. Combining water indices for water and background threshold in landsat image. Multidisciplinary Digital Publishing Institute Proceedings. S.l.: s.n., pp. 143.

ARCMAP VERSIÓN 10.2.2, 2014. ESRI. S.l.: s.n.

ARREGUÍN-CORTÉS, F.I., RUBIO-GUTIÉRREZ, H., DOMÍNGUEZ-MORA, R. y LUNA-CRUZ, F. de, 2014. Análisis de las inundaciones en la planicie tabasqueña en el periodo 1995-2010. Tecnología y ciencias del agua, vol. 5, no. 3, pp. 05-32. ISSN 2007-2422.

BALICA, S.F., POPESCU, I., BEEVERS, L. y WRIGHT, N.G., 2013. Parametric and physically based modelling techniques for flood risk and vulnerability assessment: A comparison. Environmental Modelling & Software, vol. 41, pp. 84-92. ISSN 13648152. DOI 10.1016/j.envsoft.2012.11.002.

BARÓ SUÁREZ, J.E., DÍAZ DELGADO, C., CALDERÓN ARAGÓN, G., ESTELLER ALBERICH, M.V., CADENA VARGAS, E. y FRANCO PLATA, R., 2012. Metodología para la valoración económica de daños potenciales tangibles directos por inundación. S.l.: Universidad Autónoma del Estado de México. ISBN 607-422-369-6.

Published

2021-06-22

How to Cite

Baltazar-Ascención, R., Mastachi-Loza, C. A., Galindo-Alcántara, A., Hernández-Téllez, M., & Becerril-Piña, R. (2021). Methodology for estimating economic losses of corn crops damaged by floods using remote sensing. Revista De Geografía Norte Grande, (79), 207–227. https://doi.org/10.4067/S0718-34022021000200207

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Artículos