Cover and land use changes in the dry forest of Tumbes (Peru) using sentinel-2 and google earth engine data
Dry forests are home to large amounts of biodiversity, are providers of ecosystem services, and control the advance of deserts. However, globally, these ecosystems are being threatened by various factors such as climate change, deforestation, and land use and land cover (LULC). The objective of this...
| Autores principales: | , , , , , , , , |
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| Formato: | info:eu-repo/semantics/conferenceObject |
| Lenguaje: | Español |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/20.500.12955/2076 https://doi.org/10.3390/IECF2022-13095 |
| _version_ | 1855028529943543808 |
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| author | Barboza Castillo, Elgar Salazar Coronel, Wilian Gálvez Paucar, David Valqui Valqui, Lamberto Saravia Navarro, David Gonzales, Jhony Aldana, Wiliam Vásquez Pérez, Héctor Vladimir Arbizu Berrocal, Carlos Irvin |
| author_browse | Aldana, Wiliam Arbizu Berrocal, Carlos Irvin Barboza Castillo, Elgar Gonzales, Jhony Gálvez Paucar, David Salazar Coronel, Wilian Saravia Navarro, David Valqui Valqui, Lamberto Vásquez Pérez, Héctor Vladimir |
| author_facet | Barboza Castillo, Elgar Salazar Coronel, Wilian Gálvez Paucar, David Valqui Valqui, Lamberto Saravia Navarro, David Gonzales, Jhony Aldana, Wiliam Vásquez Pérez, Héctor Vladimir Arbizu Berrocal, Carlos Irvin |
| author_sort | Barboza Castillo, Elgar |
| collection | Repositorio INIA |
| description | Dry forests are home to large amounts of biodiversity, are providers of ecosystem services, and control the advance of deserts. However, globally, these ecosystems are being threatened by various factors such as climate change, deforestation, and land use and land cover (LULC). The objective of this study was to identify the dynamics of LULC changes and the factors associated with the transformations of the dry forest in the Tumbes region (Peru) using Google Earth Engine (GEE). For this, the annual collection of Sentinel 2 (S2) satellite images of 2017 and 2021 was analyzed. Six types of LULC were identified, namely urban area (AU), agricultural land (AL), land without or with little vegetation (LW), water body (WB), dense dry forest (DDF), and open dry forest (ODF). Subsequently, we applied the Random Forest (RF) method for the classification. LULC maps reported accuracies greater than 89%. In turn, the rates of DDF and ODF between 2017 and 2021 remained unchanged at around 82%. Likewise, the largest net change occurred in the areas of WB, AL, and UA, at 51, 22, and 21%, respectively. Meanwhile, forest cover reported a loss of 4% (165.09 km2 ) of the total area in the analyzed period (2017–2021). The application of GEE allowed for an evaluation of the changes in forest cover and land use in the dry forest, and from this, it provided important information for the sustainable management of this ecosystem |
| format | info:eu-repo/semantics/conferenceObject |
| id | INIA2076 |
| institution | Institucional Nacional de Innovación Agraria |
| language | Español |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | MDPI |
| publisherStr | MDPI |
| record_format | dspace |
| spelling | INIA20762024-01-26T19:42:00Z Cover and land use changes in the dry forest of Tumbes (Peru) using sentinel-2 and google earth engine data Barboza Castillo, Elgar Salazar Coronel, Wilian Gálvez Paucar, David Valqui Valqui, Lamberto Saravia Navarro, David Gonzales, Jhony Aldana, Wiliam Vásquez Pérez, Héctor Vladimir Arbizu Berrocal, Carlos Irvin Forest remote sensing Random Forest (RF) Temporal series Biodiversity https://purl.org/pe-repo/ocde/ford#4.04.00 forest biodiversity biodiversity Dry forests are home to large amounts of biodiversity, are providers of ecosystem services, and control the advance of deserts. However, globally, these ecosystems are being threatened by various factors such as climate change, deforestation, and land use and land cover (LULC). The objective of this study was to identify the dynamics of LULC changes and the factors associated with the transformations of the dry forest in the Tumbes region (Peru) using Google Earth Engine (GEE). For this, the annual collection of Sentinel 2 (S2) satellite images of 2017 and 2021 was analyzed. Six types of LULC were identified, namely urban area (AU), agricultural land (AL), land without or with little vegetation (LW), water body (WB), dense dry forest (DDF), and open dry forest (ODF). Subsequently, we applied the Random Forest (RF) method for the classification. LULC maps reported accuracies greater than 89%. In turn, the rates of DDF and ODF between 2017 and 2021 remained unchanged at around 82%. Likewise, the largest net change occurred in the areas of WB, AL, and UA, at 51, 22, and 21%, respectively. Meanwhile, forest cover reported a loss of 4% (165.09 km2 ) of the total area in the analyzed period (2017–2021). The application of GEE allowed for an evaluation of the changes in forest cover and land use in the dry forest, and from this, it provided important information for the sustainable management of this ecosystem 2023-02-17T16:01:52Z 2023-02-17T16:01:52Z 2022-10-21 info:eu-repo/semantics/conferenceObject Barboza, E.; Salazar, W.; Gálvez-Paucar, D.; Valqui-Valqui, L.; Saravia, D.; Gonzales, J.; Aldana, W.; Vásquez, H.V.; Arbizuri, C.I (2022). Cover and land use changes in the dry forest of tumbes (Peru) using sentinel-2 and google earth engine data. Environmental.Sciences.Proceeding. 22,2. doi: 10.3390/IECF2022-13095. 2673-4931 https://hdl.handle.net/20.500.12955/2076 https://doi.org/10.3390/IECF2022-13095 spa urn:issn:2673-4931 Environmental Sciences Proceedings info:eu-repo/semantics/openAccess application/pdf application/pdf MDPI PE Instituto Nacional de Innovación Agraria Repositorio Institucional - INIA |
| spellingShingle | Forest remote sensing Random Forest (RF) Temporal series Biodiversity https://purl.org/pe-repo/ocde/ford#4.04.00 forest biodiversity biodiversity Barboza Castillo, Elgar Salazar Coronel, Wilian Gálvez Paucar, David Valqui Valqui, Lamberto Saravia Navarro, David Gonzales, Jhony Aldana, Wiliam Vásquez Pérez, Héctor Vladimir Arbizu Berrocal, Carlos Irvin Cover and land use changes in the dry forest of Tumbes (Peru) using sentinel-2 and google earth engine data |
| title | Cover and land use changes in the dry forest of Tumbes (Peru) using sentinel-2 and google earth engine data |
| title_full | Cover and land use changes in the dry forest of Tumbes (Peru) using sentinel-2 and google earth engine data |
| title_fullStr | Cover and land use changes in the dry forest of Tumbes (Peru) using sentinel-2 and google earth engine data |
| title_full_unstemmed | Cover and land use changes in the dry forest of Tumbes (Peru) using sentinel-2 and google earth engine data |
| title_short | Cover and land use changes in the dry forest of Tumbes (Peru) using sentinel-2 and google earth engine data |
| title_sort | cover and land use changes in the dry forest of tumbes peru using sentinel 2 and google earth engine data |
| topic | Forest remote sensing Random Forest (RF) Temporal series Biodiversity https://purl.org/pe-repo/ocde/ford#4.04.00 forest biodiversity biodiversity |
| url | https://hdl.handle.net/20.500.12955/2076 https://doi.org/10.3390/IECF2022-13095 |
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