Detection of 25-year land-cover change in a critical watershed in Southern Philippines using Landsat MSS and ETM+ images: Importance in Watershed rehabilitation

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We analyzed Landsat MSS and ETM+ images to detect 25-year land-cover change (1976-2001) in the critical Taguibo Watershed in Mindanao Island, Southern Philippines. This watershed has experienced historical modifications of its land-cover due to the presence of logging industries in the 1960s, and continuous deforestation due to illegal logging and slash-and-burn agriculture in the present time. To estimate the impacts of land-cover change on watershed runoff, we utilized the land-cover information derived from the Landsat images to parameterize a GIS-based hydrologic model. The model was then calibrated with field-measured discharge data and used to simulate the responses of the watershed in its year 2001 and year 1976 land-cover conditions. The availability of landcover information on the most recent state of the watershed from the Landsat ETM+ image made it possible to locate areas for rehabilitation such as barren and logged-over areas. We then created a rehabilitated" land-cover condition map of the watershed (reforestation of logged-over areas and agro-forestation of barren areas) and used it to parameterize the model and predict the runoff responses of the watershed. Model results showed that changes in land-cover from 1976 to 2001 were directly related to the significant increase in surface runoff. Runoff predictions showed that a full rehabilitation of the watershed especially in barren and logged-over areas will likely to reduce the generation of huge volume of runoff during rainfall events. The results of this study have demonstrated the usefulness of multi-temporal Landsat images in detecting land-cover change, in identifying areas for rehabilitation, and in evaluating rehabilitation strategies for management of tropical watersheds through its use in hydrologic modeling."
Year

2010

Publisher

International Society for Photogrammetry and Remote Sensing

Volume

38

Pages

219-226

Language

Keyword(s)

Hydrology, Impact analysis, Land cover, Landsat, Modelling, Deforestation, Models, Reforestation, Remote sensing, Runoff, Satellites, Watersheds, Hydrologic modeling, Land cover informations, Rehabilitation strategy, Runoff prediction, Slash-and-burn agriculture, Geographic information systems

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Form: Conference Proceedings

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