Multicriteria evaluation and remote sensing approach to identifying degraded soil areas in northwest Peru

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Soil is a vital nonrenewable resource characterized by rapid degradation and slow regeneration processes. In this study, soil degradation in Jaén and San Ignacio was assessed via a multicriteria evaluation approach combined with remote sensing (RS) data. Nine factors were analyzed classified three c...

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Detalles Bibliográficos
Autores: Arce Inga, Marielita, Atalaya Marin, Nilton, Barboza Castillo, Elgar, Tarrillo Julca, Ever, Chuquibala Checan, Beimer, Tineo Flores, Daniel, Fernandez Zarate, Franklin Hitler, Cruz Luis, Juancarlos Alejandro, Goñas Goñas, Malluri, Gómez Fernández, Darwin
Formato: artículo
Fecha de Publicación:2024
Institución:Instituto Nacional de Innovación Agraria
Repositorio:INIA-Institucional
Lenguaje:inglés
OAI Identifier:oai:null:20.500.12955/2625
Enlace del recurso:http://hdl.handle.net/20.500.12955/2625
https://doi.org/10.1080/10106049.2024.2443235
Nivel de acceso:acceso abierto
Materia:Soil degradation
GIS
RS
AHP
Evaluation
https://purl.org/pe-repo/ocde/ford#4.01.06
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dc.title.none.fl_str_mv Multicriteria evaluation and remote sensing approach to identifying degraded soil areas in northwest Peru
title Multicriteria evaluation and remote sensing approach to identifying degraded soil areas in northwest Peru
spellingShingle Multicriteria evaluation and remote sensing approach to identifying degraded soil areas in northwest Peru
Arce Inga, Marielita
Soil degradation
GIS
RS
AHP
Evaluation
https://purl.org/pe-repo/ocde/ford#4.01.06
Soil degradation
title_short Multicriteria evaluation and remote sensing approach to identifying degraded soil areas in northwest Peru
title_full Multicriteria evaluation and remote sensing approach to identifying degraded soil areas in northwest Peru
title_fullStr Multicriteria evaluation and remote sensing approach to identifying degraded soil areas in northwest Peru
title_full_unstemmed Multicriteria evaluation and remote sensing approach to identifying degraded soil areas in northwest Peru
title_sort Multicriteria evaluation and remote sensing approach to identifying degraded soil areas in northwest Peru
author Arce Inga, Marielita
author_facet Arce Inga, Marielita
Atalaya Marin, Nilton
Barboza Castillo, Elgar
Tarrillo Julca, Ever
Chuquibala Checan, Beimer
Tineo Flores, Daniel
Fernandez Zarate, Franklin Hitler
Cruz Luis, Juancarlos Alejandro
Goñas Goñas, Malluri
Gómez Fernández, Darwin
author_role author
author2 Atalaya Marin, Nilton
Barboza Castillo, Elgar
Tarrillo Julca, Ever
Chuquibala Checan, Beimer
Tineo Flores, Daniel
Fernandez Zarate, Franklin Hitler
Cruz Luis, Juancarlos Alejandro
Goñas Goñas, Malluri
Gómez Fernández, Darwin
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Arce Inga, Marielita
Atalaya Marin, Nilton
Barboza Castillo, Elgar
Tarrillo Julca, Ever
Chuquibala Checan, Beimer
Tineo Flores, Daniel
Fernandez Zarate, Franklin Hitler
Cruz Luis, Juancarlos Alejandro
Goñas Goñas, Malluri
Gómez Fernández, Darwin
dc.subject.none.fl_str_mv Soil degradation
GIS
RS
AHP
Evaluation
topic Soil degradation
GIS
RS
AHP
Evaluation
https://purl.org/pe-repo/ocde/ford#4.01.06
Soil degradation
dc.subject.ocde.none.fl_str_mv https://purl.org/pe-repo/ocde/ford#4.01.06
dc.subject.agrovoc.none.fl_str_mv Soil degradation
description Soil is a vital nonrenewable resource characterized by rapid degradation and slow regeneration processes. In this study, soil degradation in Jaén and San Ignacio was assessed via a multicriteria evaluation approach combined with remote sensing (RS) data. Nine factors were analyzed classified three categories: environmental, topographic, and edaphological factors. The results revealed that the slope (59.07%) was the main influencing factor, followed by land use and land cover (LULC) (56.36%). The degradation map revealed that 83.48% of the area exhibited moderate degradation, 14.49% low degradation, and 1.56% high degradation. The districts of Pomahuaca and San José de Lourdes demonstrated the largest areas of moderate degradation, accounting for 13.71% and 22.54%, respectively. Bellavista and Huarango exhibited the largest areas of very high degradation, accounting for 0.27% and 0.08%, respectively. The (AHP) method and RS data were employed to assess soil degradation, highlighting the need for sustainable soil restoration and conservation strategies.
publishDate 2024
dc.date.accessioned.none.fl_str_mv 2024-12-26T05:00:25Z
dc.date.available.none.fl_str_mv 2024-12-26T05:00:25Z
dc.date.issued.fl_str_mv 2024-12-23
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.citation.none.fl_str_mv Arce-Inga, M.; Atalaya-Marin, N.; Barboza, E.; Tarrillo, E.; Chuquibala-Checan, B.; Tineo, D.; Fernandez-Zarte, F.; Cruz-Luis, J.; Goñas, M.; & Gómez-Fernández, D. (2024). Multicriteria evaluation and remote sensing approach to identifying degraded soil areas in northwest Peru. Geocarto International, 40(1). doi: 10.1080/10106049.2024.2443235
dc.identifier.issn.none.fl_str_mv 1752-0762
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/20.500.12955/2625
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1080/10106049.2024.2443235
identifier_str_mv Arce-Inga, M.; Atalaya-Marin, N.; Barboza, E.; Tarrillo, E.; Chuquibala-Checan, B.; Tineo, D.; Fernandez-Zarte, F.; Cruz-Luis, J.; Goñas, M.; & Gómez-Fernández, D. (2024). Multicriteria evaluation and remote sensing approach to identifying degraded soil areas in northwest Peru. Geocarto International, 40(1). doi: 10.1080/10106049.2024.2443235
1752-0762
url http://hdl.handle.net/20.500.12955/2625
https://doi.org/10.1080/10106049.2024.2443235
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartof.none.fl_str_mv urn:issn:1752-0762
dc.relation.ispartofseries.none.fl_str_mv Geocarto International
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eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv Taylor & Francis Group
dc.publisher.country.none.fl_str_mv GB
publisher.none.fl_str_mv Taylor & Francis Group
dc.source.none.fl_str_mv Instituto Nacional de Innovación Agraria
reponame:INIA-Institucional
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spelling Arce Inga, MarielitaAtalaya Marin, NiltonBarboza Castillo, ElgarTarrillo Julca, EverChuquibala Checan, BeimerTineo Flores, DanielFernandez Zarate, Franklin HitlerCruz Luis, Juancarlos AlejandroGoñas Goñas, MalluriGómez Fernández, Darwin2024-12-26T05:00:25Z2024-12-26T05:00:25Z2024-12-23Arce-Inga, M.; Atalaya-Marin, N.; Barboza, E.; Tarrillo, E.; Chuquibala-Checan, B.; Tineo, D.; Fernandez-Zarte, F.; Cruz-Luis, J.; Goñas, M.; & Gómez-Fernández, D. (2024). Multicriteria evaluation and remote sensing approach to identifying degraded soil areas in northwest Peru. Geocarto International, 40(1). doi: 10.1080/10106049.2024.24432351752-0762http://hdl.handle.net/20.500.12955/2625https://doi.org/10.1080/10106049.2024.2443235Soil is a vital nonrenewable resource characterized by rapid degradation and slow regeneration processes. In this study, soil degradation in Jaén and San Ignacio was assessed via a multicriteria evaluation approach combined with remote sensing (RS) data. Nine factors were analyzed classified three categories: environmental, topographic, and edaphological factors. The results revealed that the slope (59.07%) was the main influencing factor, followed by land use and land cover (LULC) (56.36%). The degradation map revealed that 83.48% of the area exhibited moderate degradation, 14.49% low degradation, and 1.56% high degradation. The districts of Pomahuaca and San José de Lourdes demonstrated the largest areas of moderate degradation, accounting for 13.71% and 22.54%, respectively. Bellavista and Huarango exhibited the largest areas of very high degradation, accounting for 0.27% and 0.08%, respectively. The (AHP) method and RS data were employed to assess soil degradation, highlighting the need for sustainable soil restoration and conservation strategies.his research was financed by the Instituto Nacional de Innovación Agraria INIA through an Investment Project with CUI N° 2472675 called: Mejoramiento de los Servicios de Investigación y Transferencia de Tecnología Agraria en la Estación Experimental Agraria Baños del Inca Baños del Inca, located in the district of Baños del Inca, province of Cajamarca, department of Cajamarca.application/pdfengTaylor & Francis GroupGBurn:issn:1752-0762Geocarto Internationalinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/4.0/Instituto Nacional de Innovación Agrariareponame:INIA-Institucionalinstname:Instituto Nacional de Innovación Agrariainstacron:INIARepositorio Institucional - INIASoil degradationGISRSAHPEvaluationhttps://purl.org/pe-repo/ocde/ford#4.01.06Soil degradationMulticriteria evaluation and remote sensing approach to identifying degraded soil areas in northwest Peruinfo:eu-repo/semantics/articleORIGINALArce_et-al_2024_soil_degradation.pdfArce_et-al_2024_soil_degradation.pdfapplication/pdf3409215https://repositorio.inia.gob.pe/bitstreams/cb537189-a62a-42db-9923-92f416db7bc2/download2275e3e9a9e161a56a9c9628653af162MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81792https://repositorio.inia.gob.pe/bitstreams/6aba19f0-e155-4d46-b752-fb167a669808/downloada1dff3722e05e29dac20fa1a97a12ccfMD5220.500.12955/2625oai:repositorio.inia.gob.pe:20.500.12955/26252024-12-26 00:00:26.217https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessopen.accesshttps://repositorio.inia.gob.peRepositorio Institucional INIArepositorio@inia.gob.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