Journal
GISCIENCE & REMOTE SENSING
Volume 48, Issue 2, Pages 245-263Publisher
TAYLOR & FRANCIS LTD
DOI: 10.2747/1548-1603.48.2.245
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Funding
- CONACYT
- Gobierno del Estado de Nayarit [FOMIX Nayarit 2003-C01-9594, Nayarit 2003-C019595]
- Comision Nacional del Agua [FONSEC CNA 48216]
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Land use and land cover (LULC) changes in northern Nayarit, Mexico were estimated using post-classification change detection methods and a Markov chain model. Three thematic maps were generated by classifying Landsat images from 1973, 1900, and 2000, which were then overlaid to generate three change-detection matrices to assess the intensity and direction of changes. Between 25% and 30% of the region displayed LULC changes, attributable to a stochastic behavior that can be modeled with a first-order Markov chain. The steady-state distribution estimates indicate that the LULC patterns in the region have not yet reached equilibrium and predict the expansion of the agricultural boundaries.
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