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An Alternative Method for the Generation of Consistent Mapping to Monitoring Land Cover Change: A Case Study of Guerrero State in Mexico

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  • René Vázquez-Jiménez

    (Cuerpo Académico UAGro CA-93 Riesgos Naturales y Geotecnología, FI, Research Group on Technologies for Landscape Analysis and Diagnosis (TADAT), Universidad Autónoma de Guerrero, Av. Lázaro Cárdenas s/n, CU, 39070 Chilpancingo, Guerrero, Mexico)

  • Raúl Romero-Calcerrada

    (Research Group on Technologies for Landscape Analysis and Diagnosis (TADAT), Facultad de Ciencias Jurídicas y Sociales, Universidad Rey Juan Carlos, Paseo de los Artilleros s/n., Vicálvaro, 28032 Madrid, Spain)

  • Rocío N. Ramos-Bernal

    (Cuerpo Académico UAGro CA-93 Riesgos Naturales y Geotecnología, FI, Research Group on Technologies for Landscape Analysis and Diagnosis (TADAT), Universidad Autónoma de Guerrero, Av. Lázaro Cárdenas s/n, CU, 39070 Chilpancingo, Guerrero, Mexico)

  • Patricia Arrogante-Funes

    (Research Group on Technologies for Landscape Analysis and Diagnosis (TADAT), Departamento de Tecnología Química y Ambiental, ESCET, Universidad Rey Juan Carlos, C/Tulipán s/n, Móstoles, 28933 Madrid, Spain)

  • Carlos J. Novillo

    (Research Group on Technologies for Landscape Analysis and Diagnosis (TADAT), Departamento de Tecnología Química y Ambiental, ESCET, Universidad Rey Juan Carlos, C/Tulipán s/n, Móstoles, 28933 Madrid, Spain)

Abstract

Land cover is crucial for ecosystems and human activities. Therefore, monitoring land cover changes has become relevant in recent years. This study proposes an alternative method based on conventional change detection techniques combined with maximum likelihood (MaxLike) supervised classification of satellite images to generate consistent Land Use/Land Cover (LULC) maps. The novelty of this method is that the supervised classification is applied in an earlier stage of change detection exclusively to identified dynamics zones. The LULC categories of the stable zones are acquired from an initial date’s previously elaborated base map. The methodology comprised the use of Landsat images from 2011 and 2016, applying the Sun Canopy Sensor (SCS + C) topographic correction model enhanced through the classification of slopes, using derived topographic corrected images with NDVI, and employing Tasseled Cap (TC) Brightness-Greenness-Wetness indices and Principal Components (PCs). The study incorporated a comparative analysis of the consistency of the LULC mapping, which is generated based on control areas. The results show that the proposed method, although slightly laborious, is viable and fully automatable. The generated LULC map is accurate and robust and achieves a Kappa concordance index of 87.53. Furthermore, the boundary consistency was visually superior to the conventional classified map.

Suggested Citation

  • René Vázquez-Jiménez & Raúl Romero-Calcerrada & Rocío N. Ramos-Bernal & Patricia Arrogante-Funes & Carlos J. Novillo, 2021. "An Alternative Method for the Generation of Consistent Mapping to Monitoring Land Cover Change: A Case Study of Guerrero State in Mexico," Land, MDPI, vol. 10(7), pages 1-24, July.
    • Handle: RePEc:gam:jlands:v:10:y:2021:i:7:p:731-:d:592873
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    1. Angela Maria Rojas & César Augusto Ruiz–Agudelo & María Claudia Diazgranados & Henry Polanco & Richard Anderson, 2019. "Approach to an integral valuation of mangrove’s ecosystem services in a marine protected area. Colombian Pacific region," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 8(3), pages 322-342, July.
    2. Britaldo Silveira Soares-Filho & Daniel Curtis Nepstad & Lisa M. Curran & Gustavo Coutinho Cerqueira & Ricardo Alexandrino Garcia & Claudia Azevedo Ramos & Eliane Voll & Alice McDonald & Paul Lefebvre, 2006. "Modelling conservation in the Amazon basin," Nature, Nature, vol. 440(7083), pages 520-523, March.
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