Abstract

Knowledge of Land Use and Land Cover (LULC) changes is important for many planning and management activities. It is thought to be an essential elemen t for modeling and understanding the major land for ms, especially in arid regions like Saudi Arabia. This study investigates the LULC changes in Dirab region of Saudi Arabia between 1980 and 2010, using Landsat TM/ETM+images. After the geometric correction and radiometric normalization, multi-temporal image dat a sets were spectrally enhanced separately using Principal Component Analysis (PCA) and Tasseled Cap Transformation (TCT). Each image was then separately subjected to supervised classification a nd processed to identify and quantify LULC changes (vegetation, barren land and built-up area). Post C lassification Comparison (PCC) method was adopted for LULC change detection. Change trajectories (“fr om-to” classes) and accuracy assessments were made by comparing the detected land use change layers wi th medium/high resolution images of Google Earth data base. The TCT enhanced procedure gave better identification of the changed areas than PCA based method. The overall accuracy of PCA based change detection was 64.58, 62.68 and 62.12% for 19801990, 1990-2000 and 2000-2010 images, respectively. However, the TCT based change detection resulted in higher accuracy of 77.78, 75.62 and 77. 92% for 1980-1990, 1990-2000 and 2009-2010, respectively. The results suggested that significan t land use changes occurred in Dirab area from 1980 to 2010, which may be related to rapid development of agriculture between 1980 and 2000 and economic development and urban expansion between 2000 and 2010. It was further noted that most changes occurred in cropland areas due to urban encroachment.

Highlights

  • Information on land use/land cover change is essential are more commonly used image enhancement methods for the selection, planning and implementation of land (Lu et al, 2004)

  • This study investigates the Land Use and Land Cover (LULC) changes in Dirab region of Saudi Arabia between 1980 and 2010, using Landsat TM/ETM+images

  • The results suggested that significant land use changes occurred in Dirab area from 1980 to 2010, which may be related to rapid development of agriculture between 1980 and 2000 and economic development and urban expansion between 2000 and 2010

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Summary

Introduction

Information on land use/land cover change is essential are more commonly used image enhancement methods for the selection, planning and implementation of land (Lu et al, 2004). PCA was used for LULC provides this information (Singh, 1989; Othman et al, change studies from Landsat TM (Mather, 1999), SPOT. Tasseled Cap Transformation (TCT) is another method of enhancing spectral information of satellite data. TCT has been widely used in LULC change detection (Dymond et al, 2002; Han et al, 2007; Liu and Liu, 2010). Out of several change detection procedures available Post Classification Comparison (PCC) is one of the most widely used methods (Lu et al, 2003). Change detection generally employs one of two basic methods: Pixel-topixel comparison and post-classification comparison (Jaiswal et al, 1999). It is considered to be one of the most appropriate and commonly used methods for change detection (Jensen, 2005)

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