Assessment of deforestation rates in Michoacan at detailed scale through a hybrid classification method of SPOT images

被引:40
作者
Mas, Jean-Francois [1 ]
Lemoine-Rodriguez, Richard [1 ]
Gonzalez, Rafael [1 ]
Lopez-Sanchez, Jairo [2 ]
Pina-Garduno, Andres [2 ]
Herrera-Flores, Evelyn [2 ]
机构
[1] Univ Nacl Autonoma Mexico, Ctr Invest Geog Ambiental, Morelia, Michoacan, Mexico
[2] Univ Nacl Autonoma Mexico, Escuela Nacl Estudios Super, Morelia, Michoacan, Mexico
关键词
accuracy assessment; forest inventories; land use/cover maps; cartographic updating; image segmentation; DYNAMICS; AREA;
D O I
10.21829/myb.2017.2321472
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
In the last decades, the state of Michoacan 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 Michoacan, 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 Michoacan (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 However, there are two main deforestation hotspots in which pine and pine-oak forests have been replaced by avocado orchards (center part of the State) and deciduous forests have been transformed into grasslands (sierra-costa region).
引用
收藏
页码:119 / 131
页数:13
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