Land use change mapping and analysis using Remote Sensing and GIS: A case study of Simly watershed, Islamabad, Pakistan

Abstract

Evaluation of watersheds and development of a management strategy require accurate measurement of the past and present land cover/land use parameters as changes observed in these parameters determine the hydrological and ecological processes taking place in a watershed. This study applied supervised classification-maximum likelihood algorithm in ERDAS imagine to detect land cover/land use changes observed in Simly watershed, Pakistan using multispectral satellite data obtained from Landsat 5 and SPOT 5 for the years 1992 and 2012 respectively. The watershed was classified into five major land cover/use classes viz. Agriculture, Bare soil/rocks, Settlements, Vegetation and Water. Resultant land cover/land use and overlay maps generated in ArcGIS 10 indicated a significant shift from Vegetation and Water cover to Agriculture, Bare soil/rock and Settlements cover, which shrank by 38.2% and 74.3% respectively. These land cover/use transformations posed a serious threat to watershed resources. Hence, proper management of the watershed is required or else these resources will soon be lost and no longer be able to play their role in socioeconomic development of the area. Ó 2015 Authority for Remote Sensing and Space Sciences. Production and hosting by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/ 4.0/).

Remote Sensing-Based and Participatory Analysis of Forests, Agricultural Land Dynamics, and Potential Land Conservation Measures in Kloto District (Togo, West Africa)

“…Relevant studies on forest dynamics in a changing climate, its roles, drivers, policies, and reliable methods for their monitoring are duly undertaken using different approaches. While some of them are based on simple remote sensing e.g., [13][14][15][16][17][18][19], others have investigated the intensity analysis e.g., [20][21][22][23]. Though previous studies integrated remote sensing and household surveys to investigate landscape dynamics e.g., [24,25], little is known about the approach in Togo.…”

Land Surface Temperature Extracts for Peri-Urban Heat and Rural Cool Troughs in Ghana

“…Conversion from digital numbers to top of atmosphere (TOA) radiance was performed using image meta data Kepner et al (2000), in ENVI 4.7 software (Butt et al, 2015). In this regard, the formula to convert cell value as DN to cell value as radiance CV R1 for the three images, utilized the formula as follows: …”

“…In this study, ε = 0.95 was used for the soil and vegetation (27). The operations were performed in ERDAS Imagine 13, ENVI Band Math and the ArcMap Raster calculator functions in ArcToolbox (Butt et al, 2015).…”

Spatial Analysis to Determine Paddy Field Changes in Indonesia: A Case Study in Suburban Areas of Jakarta

“…The comparison data between land use/cover and reference points were served in the form of confusion matrix. The confusion matrix had been widely used to promote accuracy of the land use/cover for various analysis such as watershed analysis [6] and urban expansion analysis [7]. Series of analytical statistics such as overall accuracy, Kappa coefficient, omission error, commission error, producer's accuracy (corresponds to omission error), and user's accuracy (corresponds to commission error) were derived from the confusion matrix and generally reported to assess land use/cover accuracy.…”