The land use/ land cover details of Kanniyakuamri coast which is Located in the southern part of Tamil Nadu (India) is studied. Satellite imagery is used to identify the Land use/ Land cover status of the study area. The software like ERDAS and Arc GIS are used to demarcate the land ...
Land use/land cover classification of Nagapattinam southern coastal region, Tamilnadu, India - Using remote sensing and GISRamuC. and Baskaran
land-use and land-cover classification; Haralick texture feature; histogram of oriented gradient; human group optimization; local gabor binary pattern histogram sequence; long short term memory network; particle swarm optimization; hybrid image pre-processing; feature extraction optimization Graphical ...
Table 1. Land use/Land cover classification. 2.3. Change Detection Analysis Change detection maps are created between two different years which gives the level of change occurred between the two years. Change detection maps are created in the GIS environment using the image analysis tool. Change...
land use; territory spatial planning; urban expansion; performance evaluation; China1. Introduction 1.1. Background Urban construction land is the carrier of urban social, economic, political, and cultural activities, and it is also one of the most active and complex spatial phenomena in the ...
Land use and land cover (LULC) changes resulting from rapid urbanization are the foremost causes of increases in land surface temperature (LST) in urban areas. Exploring the impact of LULC changes on the spatiotemporal patterns of LST under future climate change scenarios is critical for sustainabl...
This study used multi-temporal Landsat images from 1998, 2008, and 2018 to analyze land use and land cover changes, particularly those associated with forest cover changes, in Bangladesh’s Chittagong Hill Tracts. Using object-based image classification, Landsat images from 1998, 2008, and 2018 ...
(NDVI) and image classification were applied to the multi-temporal Landsat series and Sentinel-2 along with the InSAR CCD data derived from Sentinel-1 images to reveal dramatic changes in land use/land cover (LU/LC) in terms of agricultural and other anthropogenic activities in the structurally...
There are multiple image classification algorithms, such as support vector machine (SVM), maximum likelihood classifier (MLC), and decision tree (DT) [52]. In this study we chose to use SVM for the classification of images as it is flexible, uses a non-parametric approach and is widely us...