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Land use and land cover (LULC) change detection using multi-temporal landsat imagery: A case study in Allah Valley Landscape in Southern, Philippines

By: Mark Daryl C. Janiola, George R. Puno

Key Words: Landsat, Multi-temporal, Change detection, Feature extraction, Land cover change, Image classification

J. Bio. Env. Sci. 12(2), 98-108, February 2018.

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The widely used application on remote sensing using Landsat imagery is on monitoring changes. With the progressive dynamics of land cover change in the different parts of the world and especially in the Philippines at a fast rate, satellite remote sensing is playing an important role in mapping the spatial distribution and the temporal dynamics of land cover change. Feature extraction and change detection using Landsat imagery are an effective means of collecting information on temporal changes. Monitoring the extent of changes is critical for understanding environmental and socioeconomic impacts. The primary objectives of this study are to detect the temporal dynamics of LULC change in Allah valley landscape through integrating remote sensing and GIS in extracting and analyzing the spatial distribution of land cover changes from the year 1989 to 2002 and 2002 to 2015. Allah valley is more or less 261,000ha of valley landscape located specifically in the Provinces of South Cotabato and Sultan Kudarat in Mindanao and considered as watershed forest reserve under Proclamation No. 2455 by President Ferdinand Marcos. The valley landscape supports the existence of two watersheds namely Allah and Kapingkong Watershed. The detected land cover change in Allah valley using multi-temporal Landsat imagery posed a serious trend, by which forest resources are decreasing that is driven by the continuously increasing need for agricultural land, built-up areas, and industrial plantation expansion.

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Land use and land cover (LULC) change detection using multi-temporal landsat imagery: A case study in Allah Valley Landscape in Southern, Philippines

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Mark Daryl C. Janiola, George R. Puno.
Land use and land cover (LULC) change detection using multi-temporal landsat imagery: A case study in Allah Valley Landscape in Southern, Philippines.
J. Bio. Env. Sci. 12(2), 98-108, February 2018.
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