Land Use and Land Cover Change from 1998–2024 in the Shumba Watershed, Peru: A Remote Sensing-Based Assessment.

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The Shumba watershed, located in the province of Jaén, played an essential role in the ecological balance and water supply of the region. The objective of this study was to analyze changes in land cover and land use between 1998 and 2024, using spectral indices of vegetation, soil, and water derived...

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Detalles Bibliográficos
Autores: Quispe, Mariela J., Callirgos, Noemi, Sánchez, Segundo, Sandoval, Henry, Coronel-Bustamante, David, Pérez-Delgado, Luis Jhoseph, Oliva, Yashira, Taboada-Mitma, Victor, Cruz-Luis, Juan Carlos Alejandro, Seminario-Cunya, Alejandro, Huaccha-Castillo, Annick E., Atalaya-Marin, Nilton, Gomez-Fernandez, Darwin, . Fernandez-Zarate, Franklin H.
Formato: artículo
Fecha de Publicación:2025
Institución:Universidad Nacional Autónoma de Chota
Repositorio:UNACH-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.unach.edu.pe:20.500.14142/780
Enlace del recurso:https://repositorio.unach.edu.pe/handle/20.500.14142/780
https://doi.org/10.18280/ijdne.200601
Nivel de acceso:acceso abierto
Materia:NATURAL SCIENCES::Earth sciences::Atmosphere and hydrosphere sciences::Hydrology
https://purl.org/pe-repo/ocde/ford#1.05.06
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dc.title.none.fl_str_mv Land Use and Land Cover Change from 1998–2024 in the Shumba Watershed, Peru: A Remote Sensing-Based Assessment.
title Land Use and Land Cover Change from 1998–2024 in the Shumba Watershed, Peru: A Remote Sensing-Based Assessment.
spellingShingle Land Use and Land Cover Change from 1998–2024 in the Shumba Watershed, Peru: A Remote Sensing-Based Assessment.
Quispe, Mariela J.
NATURAL SCIENCES::Earth sciences::Atmosphere and hydrosphere sciences::Hydrology
https://purl.org/pe-repo/ocde/ford#1.05.06
title_short Land Use and Land Cover Change from 1998–2024 in the Shumba Watershed, Peru: A Remote Sensing-Based Assessment.
title_full Land Use and Land Cover Change from 1998–2024 in the Shumba Watershed, Peru: A Remote Sensing-Based Assessment.
title_fullStr Land Use and Land Cover Change from 1998–2024 in the Shumba Watershed, Peru: A Remote Sensing-Based Assessment.
title_full_unstemmed Land Use and Land Cover Change from 1998–2024 in the Shumba Watershed, Peru: A Remote Sensing-Based Assessment.
title_sort Land Use and Land Cover Change from 1998–2024 in the Shumba Watershed, Peru: A Remote Sensing-Based Assessment.
author Quispe, Mariela J.
author_facet Quispe, Mariela J.
Callirgos, Noemi
Sánchez, Segundo
Sandoval, Henry
Coronel-Bustamante, David
Pérez-Delgado, Luis Jhoseph
Oliva, Yashira
Taboada-Mitma, Victor
Cruz-Luis, Juan Carlos Alejandro
Seminario-Cunya, Alejandro
Huaccha-Castillo, Annick E.
Atalaya-Marin, Nilton
Gomez-Fernandez, Darwin
. Fernandez-Zarate, Franklin H.
author_role author
author2 Callirgos, Noemi
Sánchez, Segundo
Sandoval, Henry
Coronel-Bustamante, David
Pérez-Delgado, Luis Jhoseph
Oliva, Yashira
Taboada-Mitma, Victor
Cruz-Luis, Juan Carlos Alejandro
Seminario-Cunya, Alejandro
Huaccha-Castillo, Annick E.
Atalaya-Marin, Nilton
Gomez-Fernandez, Darwin
. Fernandez-Zarate, Franklin H.
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Quispe, Mariela J.
Callirgos, Noemi
Sánchez, Segundo
Sandoval, Henry
Coronel-Bustamante, David
Pérez-Delgado, Luis Jhoseph
Oliva, Yashira
Taboada-Mitma, Victor
Cruz-Luis, Juan Carlos Alejandro
Seminario-Cunya, Alejandro
Huaccha-Castillo, Annick E.
Atalaya-Marin, Nilton
Gomez-Fernandez, Darwin
. Fernandez-Zarate, Franklin H.
dc.subject.none.fl_str_mv NATURAL SCIENCES::Earth sciences::Atmosphere and hydrosphere sciences::Hydrology
topic NATURAL SCIENCES::Earth sciences::Atmosphere and hydrosphere sciences::Hydrology
https://purl.org/pe-repo/ocde/ford#1.05.06
dc.subject.ocde.none.fl_str_mv https://purl.org/pe-repo/ocde/ford#1.05.06
description The Shumba watershed, located in the province of Jaén, played an essential role in the ecological balance and water supply of the region. The objective of this study was to analyze changes in land cover and land use between 1998 and 2024, using spectral indices of vegetation, soil, and water derived from Landsat 5 and 8 images. The processing was performed in Google Earth Engine and ArcGIS 10.5, applying the Random Forest algorithm for supervised classification. The results indicate an increase of 2708.11 ha in the category “Mosaic of crops, pastures and natural spaces” and 122.50 ha in “Continuous urban fabric”. In contrast, reductions were recorded in “Shrub/herbaceous vegetation” (- 1867.32 ha), “High dense forest” (-462.86 ha), “Transient crops” (-446.25 ha), and “Bare land” (-54.17 ha). Validation of the classification yielded an overall accuracy of 0.90 and a Kappa coefficient of 0.88, which supports the reliability of the results. These changes show significant transformations in the landscape, providing key information for territorial planning and the implementation of environmental conservation policies.
publishDate 2025
dc.date.accessioned.none.fl_str_mv 2025-09-17T17:22:51Z
dc.date.available.none.fl_str_mv 2025-09-17T17:22:51Z
dc.date.issued.fl_str_mv 2025-06
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dc.identifier.doi.none.fl_str_mv https://doi.org/10.18280/ijdne.200601
url https://repositorio.unach.edu.pe/handle/20.500.14142/780
https://doi.org/10.18280/ijdne.200601
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartof.none.fl_str_mv International Journal of Design & Nature and Ecodynamics
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spelling Quispe, Mariela J.Callirgos, NoemiSánchez, SegundoSandoval, HenryCoronel-Bustamante, DavidPérez-Delgado, Luis JhosephOliva, YashiraTaboada-Mitma, VictorCruz-Luis, Juan Carlos AlejandroSeminario-Cunya, AlejandroHuaccha-Castillo, Annick E.Atalaya-Marin, NiltonGomez-Fernandez, Darwin. Fernandez-Zarate, Franklin H.2025-09-17T17:22:51Z2025-09-17T17:22:51Z2025-06https://repositorio.unach.edu.pe/handle/20.500.14142/780https://doi.org/10.18280/ijdne.200601The Shumba watershed, located in the province of Jaén, played an essential role in the ecological balance and water supply of the region. The objective of this study was to analyze changes in land cover and land use between 1998 and 2024, using spectral indices of vegetation, soil, and water derived from Landsat 5 and 8 images. The processing was performed in Google Earth Engine and ArcGIS 10.5, applying the Random Forest algorithm for supervised classification. The results indicate an increase of 2708.11 ha in the category “Mosaic of crops, pastures and natural spaces” and 122.50 ha in “Continuous urban fabric”. In contrast, reductions were recorded in “Shrub/herbaceous vegetation” (- 1867.32 ha), “High dense forest” (-462.86 ha), “Transient crops” (-446.25 ha), and “Bare land” (-54.17 ha). Validation of the classification yielded an overall accuracy of 0.90 and a Kappa coefficient of 0.88, which supports the reliability of the results. These changes show significant transformations in the landscape, providing key information for territorial planning and the implementation of environmental conservation policies.The authors thank the Instituto Nacional de Innovacion Agraria (INIA) through the Investment Project with CUI N\ 2472675 entitled: Improvement of Research Services and Transfer of Agricultural Technology at the Baños del Inca Agricultural Experimental Station, Baños del Inca, located in the district of Baños del Inca, province of Cajamarca, department of Cajamarca.application/pdfengInternational Information and Engineering Technology AssociationCAInternational Journal of Design & Nature and Ecodynamicsurn:issn: 17557437info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/4.0/NATURAL SCIENCES::Earth sciences::Atmosphere and hydrosphere sciences::Hydrologyhttps://purl.org/pe-repo/ocde/ford#1.05.06Land Use and Land Cover Change from 1998–2024 in the Shumba Watershed, Peru: A Remote Sensing-Based Assessment.info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionreponame:UNACH-Institucionalinstname:Universidad Nacional Autónoma de Chotainstacron:UNACHLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.unach.edu.pe/bitstreams/3a5761d5-4282-47fa-9379-0371a47de361/downloadbb9bdc0b3349e4284e09149f943790b4MD51ORIGINALijdne_20.06_01.pdfijdne_20.06_01.pdfapplication/pdf1708929https://repositorio.unach.edu.pe/bitstreams/840c123c-5866-4eb1-b99b-0bc6742e8cb0/download8a2bdd98f891ad1da8c77414c449920fMD52THUMBNAIL6.jpgimage/jpeg250317https://repositorio.unach.edu.pe/bitstreams/d6d6ffc7-ee4a-4785-996b-40b6fbf3bf2a/download321c71416315fcc9b7a4c032e49a4c3cMD5320.500.14142/780oai:repositorio.unach.edu.pe:20.500.14142/7802025-09-17 19:31:06.912https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessopen.accesshttps://repositorio.unach.edu.peRepositorio UNACHdspace-help@myu.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