Land use/land cover change detection combining automatic processing and visual interpretation
Por:
Mas, Jean-Francois, Lemoine-Rodríguez R., González-López R., López-Sánchez J., Pina-Garduno, Andres, Herrera-Flores E.
Publicada:
1 ene 2017
Resumen:
This article presents a hybrid classification method combining image
segmentation, GIS analysis, and visual interpretation, and its
application to elaborate a multi-date cartographic database with 23 land
use/cover (LUC) classes using SPOT 5 imagery for the Mexican state of
Michoacan (similar to 60,000 km(2)). First, the resolution of an
existing 1: 100,000 LUC map produced through visual interpretation of
2007 SPOT images was improved. 2007 SPOT images were segmented, and each
segment received the ``majority'' LUC category from the 1:100,000 map.
Segments were characterized from the images (spectral indices) and the
map (LUC class). A multivariate trimming was applied to detect
``uncertain'' segments presenting discrepancy between their spectral
response and the LUC class assigned from the map. For these uncertain
segments, a category was determined by digital classification, but a
definitive category was assigned through visual interpretation. Finally,
accuracy of the resulting LUC map was assessed. The same procedure was
applied to downgrade (2004) and to update (2014) the map. The
implemented method enabled us to improve the scale of an existing 2007
LUC map and to detect land use/cover changes in previous (downgrading)
and later (updating) dates with an overall accuracy of 83.3% +/- 3.1%.
Filiaciones:
Mas, Jean-Francois:
Univ Nacl Autonoma Mexico, Ctr Invest Geog Ambiental, Morelia, Michoacan, Mexico
Lemoine-Rodríguez R.:
Univ Nacl Autonoma Mexico, Ctr Invest Geog Ambiental, Morelia, Michoacan, Mexico
Centro de Investigaciones en Geografía Ambiental, Universidad Nacional Autónoma de México, Morelia, Mexico
González-López R.:
Univ Nacl Autonoma Mexico, Ctr Invest Geog Ambiental, Morelia, Michoacan, Mexico
Centro de Investigaciones en Geografía Ambiental, Universidad Nacional Autónoma de México, Morelia, Mexico
López-Sánchez J.:
Univ Nacl Autonoma Mexico, Escuela Nacl Estudios Super, Morelia, Michoacan, Mexico
Escuela Nacional de Estudios Superiores, Universidad Nacional Autónoma de México, Morelia, Mexico
Pina-Garduno, Andres:
Univ Nacl Autonoma Mexico, Escuela Nacl Estudios Super, Morelia, Michoacan, Mexico
Herrera-Flores E.:
Univ Nacl Autonoma Mexico, Escuela Nacl Estudios Super, Morelia, Michoacan, Mexico
Escuela Nacional de Estudios Superiores, Universidad Nacional Autónoma de México, Morelia, Mexico
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