This research focuses on modeling the spatial variation of errors in a land cover map and in the detection of changes when local uncertainties are identified. The motivation for this research stems from the fact that although a plethora of classification accuracy indices exists, most of them are global measures, such as the percentage correct and kappa index which are being the dominant measure...

Due to the relatively low temporal resolutions of high spatial resolution (HR) remotely sensed images, land-cover change detection (LCCD) may have to use multi-temporal images with different resolutions. The low spatial resolution (LR) images often have high temporal repetition rates, but they contain a large number of mixed pixels, which may seriously limit their capability in change detection...

Change detection is the measure of the distinct data framework and thematic change information that can guide to more tangible insights into underlying process involving land cover and land use changes than the information obtained from continuous change. Digital change detection is the process that helps in determining the changes associated with landuse and land cover properties with referenc...

As both a central task in Remote Sensing and a common problem in many other situations involving time series data, change point detection boasts a thorough and well-documented history of study. However, the treatment of missing data and proper exploitation of the structure in multivariate time series during change point detection remains lacking. Multispectral, high temporal resolution time ser...

land use change may influence many natural phenomena and ecological processes, including runoff, soil erosion, sedimentation and soil conditions. decreasing of forest area in the north of iran is one of the critical problems in recent years. the aims of this study are to detect land use changes between 1967 to 2002 using satellite images of land sat 7 etm+ (2002), aerial photos and digital topo...

Although there have been many studies for change detection, the effective and efficient use of high resolution remote sensing images is still a problem. Conventional supervised methods need lots of annotations to classify the land cover categories and detect their changes. Besides, the training set in supervised methods often has lots of redundant samples without any essential information. In t...

Six change detection procedures were tested using Landsat MultiSpectral Scanner (MSS) images for detecting areas of changes in the region of the Te rminos Lagoon, a coastal zone of the State of Campeche, Mexico. The change detection techniques considered were image di€ erencing, vegetative index di€ erencing, selective principal components analysis (SPCA), direct multi-date unsupervised classi...

REIF, M.K.; MACON, C.L., and WOZENCRAFT, J.M., 2011. Post-Katrina land-cover, elevation, and volume change assessment along the south shore of Lake Pontchartrain, Louisiana, U.S.A. In: Pe’eri, S. and Long, B. (eds.), Applied LIDAR Techniques, Journal of Coastal Research, Special Issue No. 62, 30–39. West Palm Beach (Florida), ISSN 07490208. Advances in remote-sensing technology have led to its ...