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

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.

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Publication Details

Journal
Geocarto International
Published
2024-12-23
DOI
https://doi.org/10.1080/10106049.2024.2443235
Citations
1
Primary Topic
Soil Geostatistics and Mapping
Type
article
Field-Weighted Citation Impact
0.21
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article

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

Franklin Hitler Fernandez-Zarate, Juancarlos Cruz, Elgar Barboza, Marielita Arce-Inga et al.
1 citations
Geocarto International
Soil Geostatistics and Mapping
0.21
article

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

Franklin Hitler Fernandez-Zarate, Juancarlos Cruz, Elgar Barboza, Marielita Arce-Inga, Daniel Tineo, Malluri Goñas, Beimer Chuquibala-Checan, Darwin Gómez-Fernández, Nilton Atalaya-Marin, Ever Tarrillo
article en
1 citations

Abstract

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.

Geocarto InternationalVol. 40(1)
National Agrarian University (NI), Universidad Tecnológica de Los Andes (PE), Instituto Nacional de Innovación Agraria (PE)
Openalex Percentile: Top 48%
Soil Geostatistics and Mapping
0.21
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Multicriteria evaluation and remote sensing approach to identifying degraded soil areas in northwest Peru — Franklin Hitler Fernandez-Zarate, Juancarlos Cruz, et al. · Geocarto International (2024) | TGRS Research Map | TGRS