Spatiotemporal Dynamics of Grasslands Using Landsat Data in Livestock Micro-Watersheds in Amazonas (NW Peru)
In Peru, grasslands monitoring is essential to support public policies related to the identification, recovery and management of livestock systems. In this study, therefore, we evaluated the spatial dynamics of grasslands in Pomacochas and Ventilla micro-watersheds (Amazonas, NW Peru). To do this, w...
| Autores principales: | , , , , , , , , , , |
|---|---|
| Formato: | info:eu-repo/semantics/article |
| Lenguaje: | Español |
| Publicado: |
MDPI
2022
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/20.500.12955/1691 https://doi.org/10.3390/land11050674 |
| _version_ | 1855028856499470336 |
|---|---|
| author | Atalaya Marin, Nilton Barboza Castillo, Elgar Salas López, Rolando Vásquez Pérez, Héctor Vladimir Gómez Fernández, Darwin Terrones Murga, Renzo E. Rojas Briceño, Nilton B. Oliva Cruz, Manuel Gamarra Torres, Oscar Ándres Silva López, Jhonsy Omar Turpo Cayo, Efrain |
| author_browse | Atalaya Marin, Nilton Barboza Castillo, Elgar Gamarra Torres, Oscar Ándres Gómez Fernández, Darwin Oliva Cruz, Manuel Rojas Briceño, Nilton B. Salas López, Rolando Silva López, Jhonsy Omar Terrones Murga, Renzo E. Turpo Cayo, Efrain Vásquez Pérez, Héctor Vladimir |
| author_facet | Atalaya Marin, Nilton Barboza Castillo, Elgar Salas López, Rolando Vásquez Pérez, Héctor Vladimir Gómez Fernández, Darwin Terrones Murga, Renzo E. Rojas Briceño, Nilton B. Oliva Cruz, Manuel Gamarra Torres, Oscar Ándres Silva López, Jhonsy Omar Turpo Cayo, Efrain |
| author_sort | Atalaya Marin, Nilton |
| collection | Repositorio INIA |
| description | In Peru, grasslands monitoring is essential to support public policies related to the identification, recovery and management of livestock systems. In this study, therefore, we evaluated the spatial dynamics of grasslands in Pomacochas and Ventilla micro-watersheds (Amazonas, NW Peru). To do this, we used Landsat 5, 7 and 8 images and vegetation indices (normalized difference vegetation index (NDVI), enhanced vegetation index (EVI) and soil adjusted vegetation index (SAVI). The data were processed in Google Earth Engine (GEE) platform for 1990, 2000, 2010 and 2020 through random forest (RF) classification reaching accuracies above 85%. The application of RF in GEE allowed surface mapping of grasslands with pressures higher than 85%. Interestingly, our results reported the increase of grasslands in both Pomacochas (from 2457.03 ha to 3659.37 ha) and Ventilla (from 1932.38 ha to 4056.26 ha) micro-watersheds during 1990–2020. Effectively, this study aims to provide useful information for territorial planning with potential replicability for other cattle-raising regions of the country. It could further be used to improve grassland management and promote semi-extensive livestock farming. |
| format | info:eu-repo/semantics/article |
| id | INIA1691 |
| institution | Institucional Nacional de Innovación Agraria |
| language | Español |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI |
| publisherStr | MDPI |
| record_format | dspace |
| spelling | INIA16912023-06-21T15:47:44Z Spatiotemporal Dynamics of Grasslands Using Landsat Data in Livestock Micro-Watersheds in Amazonas (NW Peru) Atalaya Marin, Nilton Barboza Castillo, Elgar Salas López, Rolando Vásquez Pérez, Héctor Vladimir Gómez Fernández, Darwin Terrones Murga, Renzo E. Rojas Briceño, Nilton B. Oliva Cruz, Manuel Gamarra Torres, Oscar Ándres Silva López, Jhonsy Omar Turpo Cayo, Efrain Grassland dynamics Google Earth Engine (GEE) Sustainable livestock Remote sensing Random forest (RF) Landsat https://purl.org/pe-repo/ocde/ford#4.05.00 In Peru, grasslands monitoring is essential to support public policies related to the identification, recovery and management of livestock systems. In this study, therefore, we evaluated the spatial dynamics of grasslands in Pomacochas and Ventilla micro-watersheds (Amazonas, NW Peru). To do this, we used Landsat 5, 7 and 8 images and vegetation indices (normalized difference vegetation index (NDVI), enhanced vegetation index (EVI) and soil adjusted vegetation index (SAVI). The data were processed in Google Earth Engine (GEE) platform for 1990, 2000, 2010 and 2020 through random forest (RF) classification reaching accuracies above 85%. The application of RF in GEE allowed surface mapping of grasslands with pressures higher than 85%. Interestingly, our results reported the increase of grasslands in both Pomacochas (from 2457.03 ha to 3659.37 ha) and Ventilla (from 1932.38 ha to 4056.26 ha) micro-watersheds during 1990–2020. Effectively, this study aims to provide useful information for territorial planning with potential replicability for other cattle-raising regions of the country. It could further be used to improve grassland management and promote semi-extensive livestock farming. Abstract. 1. Introduction. 2. Materials and Methods. 3. Results. 4. Discussion. 5. Conclusions. References. 2022-06-02T21:45:18Z 2022-06-02T21:45:18Z 2022-05-01 info:eu-repo/semantics/article Marin, N.A.; Barboza, E.; López, R.S.; Vásquez, H.V.; Gómez Fernández, D.; Terrones Murga, R.E.; Rojas Briceño, N.B.; Oliva-Cruz, M.; Gamarra Torres, O.A.; Silva López, J.O.; et al. Spatiotemporal Dynamics of Grasslands Using Landsat Data in Livestock Micro-Watersheds in Amazonas (NW Peru). Land 2022, 11, 674. doi: 10.3390/land11050674 https://hdl.handle.net/20.500.12955/1691 Land https://doi.org/10.3390/land11050674 spa Land 2022, 11(5), 674 https://doi.org/10.3390/land11050674 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/ application/pdf application/pdf Perú MDPI Suiza Instituto Nacional de Innovación Agraria Repositorio Institucional - INIA |
| spellingShingle | Grassland dynamics Google Earth Engine (GEE) Sustainable livestock Remote sensing Random forest (RF) Landsat https://purl.org/pe-repo/ocde/ford#4.05.00 Atalaya Marin, Nilton Barboza Castillo, Elgar Salas López, Rolando Vásquez Pérez, Héctor Vladimir Gómez Fernández, Darwin Terrones Murga, Renzo E. Rojas Briceño, Nilton B. Oliva Cruz, Manuel Gamarra Torres, Oscar Ándres Silva López, Jhonsy Omar Turpo Cayo, Efrain Spatiotemporal Dynamics of Grasslands Using Landsat Data in Livestock Micro-Watersheds in Amazonas (NW Peru) |
| title | Spatiotemporal Dynamics of Grasslands Using Landsat Data in Livestock Micro-Watersheds in Amazonas (NW Peru) |
| title_full | Spatiotemporal Dynamics of Grasslands Using Landsat Data in Livestock Micro-Watersheds in Amazonas (NW Peru) |
| title_fullStr | Spatiotemporal Dynamics of Grasslands Using Landsat Data in Livestock Micro-Watersheds in Amazonas (NW Peru) |
| title_full_unstemmed | Spatiotemporal Dynamics of Grasslands Using Landsat Data in Livestock Micro-Watersheds in Amazonas (NW Peru) |
| title_short | Spatiotemporal Dynamics of Grasslands Using Landsat Data in Livestock Micro-Watersheds in Amazonas (NW Peru) |
| title_sort | spatiotemporal dynamics of grasslands using landsat data in livestock micro watersheds in amazonas nw peru |
| topic | Grassland dynamics Google Earth Engine (GEE) Sustainable livestock Remote sensing Random forest (RF) Landsat https://purl.org/pe-repo/ocde/ford#4.05.00 |
| url | https://hdl.handle.net/20.500.12955/1691 https://doi.org/10.3390/land11050674 |
| work_keys_str_mv | AT atalayamarinnilton spatiotemporaldynamicsofgrasslandsusinglandsatdatainlivestockmicrowatershedsinamazonasnwperu AT barbozacastilloelgar spatiotemporaldynamicsofgrasslandsusinglandsatdatainlivestockmicrowatershedsinamazonasnwperu AT salaslopezrolando spatiotemporaldynamicsofgrasslandsusinglandsatdatainlivestockmicrowatershedsinamazonasnwperu AT vasquezperezhectorvladimir spatiotemporaldynamicsofgrasslandsusinglandsatdatainlivestockmicrowatershedsinamazonasnwperu AT gomezfernandezdarwin spatiotemporaldynamicsofgrasslandsusinglandsatdatainlivestockmicrowatershedsinamazonasnwperu AT terronesmurgarenzoe spatiotemporaldynamicsofgrasslandsusinglandsatdatainlivestockmicrowatershedsinamazonasnwperu AT rojasbricenoniltonb spatiotemporaldynamicsofgrasslandsusinglandsatdatainlivestockmicrowatershedsinamazonasnwperu AT olivacruzmanuel spatiotemporaldynamicsofgrasslandsusinglandsatdatainlivestockmicrowatershedsinamazonasnwperu AT gamarratorresoscarandres spatiotemporaldynamicsofgrasslandsusinglandsatdatainlivestockmicrowatershedsinamazonasnwperu AT silvalopezjhonsyomar spatiotemporaldynamicsofgrasslandsusinglandsatdatainlivestockmicrowatershedsinamazonasnwperu AT turpocayoefrain spatiotemporaldynamicsofgrasslandsusinglandsatdatainlivestockmicrowatershedsinamazonasnwperu |