The change detection analysis has been investigated between 1990, 2015 and 2020 using Remote Sensing Geographical Information Systems in Yenagoa, Bayelsa State of Nigeria. With the aid ArcGIS Erdas Imagine software to classify environment, supervise classification method categories water bodies, built-up areas, bare land, vegetation, it was revealed that area covered by bodies 11% total decreas...

Black and white and true-colour aerial photography from 2004, 1993 and 1985 are used for studies of growth and change of informal settlements in Voi, SE-Kenya. The digital data is orthorectified, corrected for brightness variations caused by light falloff and bidirectional effects and mosaicked using EnsoMOSAIC and Erdas Imagine software. The constructed mosaics are segmented with eCognition so...

The use of remote sensing and Geographic Information System (GIS) are among the most efficient modern tools to study varied natural resources in terms localization, identification characteristics, its dynamics. Thus, aim this is show importance Geographical studying Guercif irrigated plain. We will first process analyze satellite images using program (Erdas IMAGINE 15. 00) then create thematic ...

Abstract Change detection is a time series process to analyze Land use/land cover (LU/LC) changes within specific period. This analysis will help take the necessary decisions for policymakers. In this study purpose, we collect data in form of topographical maps from Survey India (SOI), Satellite remote sensing USGS (United States Geological Survey) and software like Arc GIS 10.3 ERDAS IMAGINE 2...

Abstract Drivers of land use change were captured by the DPSIR model where (D) represented human needs, Pressures (P), activities, State (S), ecosystem, Impact (I) services from ecosystem and Response (R), decisions taken users. Land sat MSS ETM+ (path 185, row 31) used in this study. The image (June 1987, May, 2000 July, 2014) was downloaded USGS Earth Resources Observation Systems data websit...

The South African Council for Scientific and Industrial Research (CSIR) is investigating technologies to predict health risk in line with national priorities. Cholera cases are commonly reported in the region, despite the funnelling of extensive resources into ameliorating the problem. It is possible that this results from a lack of foresight as to the likely outbreak locations and times. CSIR ...

This study was designed to model the spatio-temporal pattern of Land Use/Land Cover (LU/LC) indices and its relationship with Surface Temperature (LST) in Ibadan Metropolis from 1988 2018. Four Landsat images metropolis for 1988, 1999, 2013 2018 were used this study. surface temperature values vegetation, open surfaces built-up analysis carried out using ERDAS IMAGINE 9.2 order ascertain areas ...

1082-4006/06/1201-09$5.00 ©2006 The International Association of Chinese Professionals in Geographic Information Science (CPGIS) Abstract The U.S. Department of Agriculture developed the Agricultural Non-Point Source (AGNPS) pollution model. The AGNPS pollution model simulates the behavior of runoff, sediment, and nutrient transport from watersheds that have agriculture as their prime use. This...

Existing image segmentation algorithms have recently been ported to the widely used ERDAS Imagine graphical user interface. Within the USDA Forest Service Region 5 Remote Sensing Lab these algorithms have traditionally been applied to Landsat TM data for the purpose of landscape delineation. A less confining image processing environment, combined with the wide availability of finer resolution d...

In this study, measuring processes of fiducial marks are performed with area based matching method. A computer program in Borland C++ Builder software is developed to find out the image fiducial marks particularly for this project. Ten images were taken by Wild RC 10 camera. They belonged to Selcuk University Campus area. The films were scanned by Zeiss Scai Photogrammetric Scanner (Pixel size ...