Spectral signatures for the identification of dry forest using Sentinel-2 images over the Lower Basin of the Chira river, Piura region

C. Aldana, M. Revilla, J. Gonzales, Y. Saavedra, W. Moncada, J. Maicelo

Abstract

El Niño phenomenon, droughts and the warm climate directly influence the good ecological state of the forests in the Piura Region. The objective is to relate the spectral signatures evaluated in the Sentinel-2 satellite images with the spectral signatures measured with the FieldSpec4 spectroradiometer, for the identification of dry forest in the lower basin of the Chira River, Piura región. The Sentinel-2 images corresponding to the 17MNR, 17MPR, 17MMQ, 17MNQ and 17MPQ tiles are pre-processed, mosaicked, resampled and cut with the SNAP software. Stacking of bands 2, 3, 4, 5, 6, 7, 8, 9, 11 and 12 generates a raster whose pixel reflectance values are related to their wavelengths. The classification of dry forest areas is done with the spectral signature measured with the FieldSpec4 spectroradiometer. The validation of the results is carried out by applying the non-parametric ANOVA and Mann-Whitney-Wilcoxon tests at four sampling points. The surface area of dry forest in the lower basin of the Chira River is 129 113.06 ha, which represents 3.8% of the total area of dry forest in northern Peru.


Keywords

Sentinel-2; dry forest; Chira river basin; spectral signature; reflectance

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References

ASD Inc. 2017. FieldSpec 4 Hi-Res High Resolution Spectroradiometer. https://www.asdi.com/productsand-services/fieldspec-spectroradiometers/fieldspec4-hi-res

Borrás, J., Delegido, J., Pezzola, A., Pereira, M., Morassi, G., Camps-Valls, G. 2017. Clasificación de usos del suelo a partir de imágenes Sentinel-2. Revista de Teledetección, 48, 55. https://doi.org/10.4995/raet.2017.7133

Cabrera, J., Yupanqui, R.T., Rau, P. 2016. Validation of TRMM Daily Precipitation Data for Extreme Events Analysis. The Case of Piura Watershed in Peru. Procedia Engineering, 154, 154-157. https://doi.org/10.1016/j.proeng.2016.07.436

Henson, R.N. 2015. Analysis of Variance (ANOVA). En A.W. Toga (Ed.), Brain Mapping (pp. 477-481). Academic Press. https://doi.org/10.1016/B978-0-12-397025-1.00319-5

Janse, P.V., Kayte, J.N., Agrawal, R.V., Deshmukh, R.R. 2018. Standard Spectral Reflectance Measurements for ASD FieldSpec Spectroradiometer. 2018 Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC), 729-733. https://doi.org/10.1109/PDGC.2018.8745808

Lindsay, A. 2019. Investing upstream: Watershed protection in Piura, Peru. Environmental Science & Policy, 96, 9-17. https://doi.org/10.1016/j.envsci.2019.02.005

Marini, F., Walczak, B. 2020. 1.19–ANOVA-Target Projection (ANOVA-TP). En S. Brown, R. Tauler, & B. Walczak (Eds.), Comprehensive Chemometrics (Second Edition) (pp. 495-520). Elsevier. https://doi.org/10.1016/B978-0-12-409547-2.14578-0

Ramírez, I.J. 2019. Exploring Tropical Variability and Extremes Impacts on Population Vulnerability in Piura, Peru: The Case of the 1997-98 El Niño. En V. Venugopal, J. Sukhatme, R. Murtugudde, & R. Roca (Eds.), Tropical Extremes (pp. 263-297). Elsevier. https://doi.org/10.1016/B978-0-12-809248-4.00008-X

Rodríguez, A., Álvarez, R. 2005. Uso múltiple del bosque seco del norte del Perú: Análisis del ingreso y autoconsumo. Zonas Áridas, 9(1), 131-148. http://dx.doi.org/10.21704/za.v9i1.573

Sánchez, J., Jiménez, J.U., Fábrega, J., Serrano, J., Quirós, E.I. 2019. Clasificacion Supervisada de Firmas Espectrales de Coberturas Agropecuarias en Panama Utilizando el Mapeo del Angulo Espectral. Repositorio Institucional de la Universidad Tecnológica de Panamá, 7. https://ridda2.utp.ac.pa/handle/123456789/9432

Vélez, D. 2019. Análisis multitemporal de una serie de imágenes Sentinel-1 y detección de cambios del uso de suelo para la evaluación de la reserva ecológica Manglares Churute y sus alrededores en Guayas-Ecuador. Maestría, Universidad Pública de Navarra. https://academica-e.unavarra.es/xmlui/handle/2454/33672

Yue, S., Wang, C. 2002. The influence of serial correlation on the Mann–Whitney test for detecting a shift in median. Advances in Water Resources, 25(3), 325-333. https://doi.org/10.1016/S0309-1708(01)00049-5

Zorogastúa, P., Quiroz, R., Garatuza, J. 2011. Evaluación de cambios en la cobertura y uso de la tierra con imágenes de satélite en Piura–Perú. Ecología Aplicada, 10(1), 13-22. http://dx.doi.org/10.21704/rea.v10i1-2.409

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