Assessment of deforestation rates in Michoacan at detailed scale through a hybrid classification method of SPOT images
In the last decades, the state of Michoacán has suffered high deforestation rates. In this work, we implemented a hybrid classification method that combines automated processing, spatial analysis and visual interpretation, which enabled us to produce land use/cover maps for Michoacán, scale 1:50 000...
Hauptverfasser: | , , , , , |
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Format: | Online |
Sprache: | spa |
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Instituto de Ecología, A.C.
2017
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Online Zugang: | https://myb.ojs.inecol.mx/index.php/myb/article/view/1472 |
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author | Mas, Jean-Francois Lemoine Rodríguez, Richard González, Rafael López Sánchez, Jairo Piña Garduño, Andrés Herrera Flores, Evelyn |
author_facet | Mas, Jean-Francois Lemoine Rodríguez, Richard González, Rafael López Sánchez, Jairo Piña Garduño, Andrés Herrera Flores, Evelyn |
author_sort | Mas, Jean-Francois |
collection | MYB |
description | In the last decades, the state of Michoacán has suffered high deforestation rates. In this work, we implemented a hybrid classification method that combines automated processing, spatial analysis and visual interpretation, which enabled us to produce land use/cover maps for Michoacán, scale 1:50 000 with a minimum mapping unit of one hectare for 2004, 2007 and 2014. Additionally, we assessed the accuracy of the elaborated cartography. Accuracy assessment of the 2007 map shows an overall accuracy of 83.3%, with a confidence interval of 3.1%. Deforestation rates have decreased in Michoacán (i.e., 2004–2007; 0.17%, 2007–2014; 0.07%). However, there are two main deforestation hotspots in which pine and pine-oak forests have been replaced by avocado orchards (center part of the State) and deciduous forests have been transformed into grasslands (sierra-costa region). |
format | Online |
id | oai:oai.myb.ojs.inecol.mx:article-1472 |
institution | Madera y Bosques |
language | spa |
publishDate | 2017 |
publisher | Instituto de Ecología, A.C. |
record_format | ojs |
spelling | oai:oai.myb.ojs.inecol.mx:article-14722022-12-09T08:29:03Z Assessment of deforestation rates in Michoacan at detailed scale through a hybrid classification method of SPOT images Evaluación de las tasas de deforestación en Michoacán a escala detallada mediante un método híbrido de clasificación de imágenes SPOT Mas, Jean-Francois Lemoine Rodríguez, Richard González, Rafael López Sánchez, Jairo Piña Garduño, Andrés Herrera Flores, Evelyn accuracy assessment forest inventories land use/cover maps cartographic updating image segmentation actualización cartográfica cartografía de cubierta/uso de suelo evaluación de la fiabilidad inventarios forestales segmentación de imagen In the last decades, the state of Michoacán has suffered high deforestation rates. In this work, we implemented a hybrid classification method that combines automated processing, spatial analysis and visual interpretation, which enabled us to produce land use/cover maps for Michoacán, scale 1:50 000 with a minimum mapping unit of one hectare for 2004, 2007 and 2014. Additionally, we assessed the accuracy of the elaborated cartography. Accuracy assessment of the 2007 map shows an overall accuracy of 83.3%, with a confidence interval of 3.1%. Deforestation rates have decreased in Michoacán (i.e., 2004–2007; 0.17%, 2007–2014; 0.07%). However, there are two main deforestation hotspots in which pine and pine-oak forests have been replaced by avocado orchards (center part of the State) and deciduous forests have been transformed into grasslands (sierra-costa region). En las últimas décadas, se han registrado altas tasas de deforestación en el estado de Michoacán. En el presente trabajo se puso en marcha un método de clasificación híbrido que combina procesos automatizados, análisis espacial e interpretación visual, el cual permitió generar cartografía de cubierta/uso de suelo para el estado de Michoacán, a escala 1:50 000, con un área mínima cartografiable de una hectárea para 2004, 2007 y 2014. Adicionalmente, se evaluó la fiabilidad de la cartografía generada. La evaluación del mapa para 2007 indicó que la fiabilidad global fue de 83.3%, con un intervalo de confianza de 3.1%. Las tasas de deforestación en Michoacán han disminuido (i.e., 2004–2007; 0.17%, 2007–2014; 0.07%). No obstante, existen dos focos principales de deforestación donde bosques de pino y pino-encino han sido sustituidos por huertas de aguacate (centro del estado) y selvas bajas y medianas han sido transformadas en pastizales (región sierra-costa) Instituto de Ecología, A.C. 2017-09-21 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Artículo evaluado por pares application/pdf text/html https://myb.ojs.inecol.mx/index.php/myb/article/view/1472 10.21829/myb.2017.2321472 Madera y Bosques; Vol. 23 No. 2 (2017): Verano; 119-132 Madera y Bosques; Vol. 23 Núm. 2 (2017): Verano; 119-132 2448-7597 1405-0471 spa https://myb.ojs.inecol.mx/index.php/myb/article/view/1472/1652 https://myb.ojs.inecol.mx/index.php/myb/article/view/1472/1674 Derechos de autor 2017 Madera y Bosques http://creativecommons.org/licenses/by-nc-sa/4.0 |
spellingShingle | Mas, Jean-Francois Lemoine Rodríguez, Richard González, Rafael López Sánchez, Jairo Piña Garduño, Andrés Herrera Flores, Evelyn Assessment of deforestation rates in Michoacan at detailed scale through a hybrid classification method of SPOT images |
title | Assessment of deforestation rates in Michoacan at detailed scale through a hybrid classification method of SPOT images |
title_full | Assessment of deforestation rates in Michoacan at detailed scale through a hybrid classification method of SPOT images |
title_fullStr | Assessment of deforestation rates in Michoacan at detailed scale through a hybrid classification method of SPOT images |
title_full_unstemmed | Assessment of deforestation rates in Michoacan at detailed scale through a hybrid classification method of SPOT images |
title_short | Assessment of deforestation rates in Michoacan at detailed scale through a hybrid classification method of SPOT images |
title_sort | assessment of deforestation rates in michoacan at detailed scale through a hybrid classification method of spot images |
url | https://myb.ojs.inecol.mx/index.php/myb/article/view/1472 |
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