Barren land
Supervised/Unsupervised Classification of Land cover using Remote Sensed Data
... The above table shows output results of each classification method with different land cover classes. Barren land land cover classes a major difference in both classification. Results of ...
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Landuse and Landcover analysis using Remote Sensing and GIS: A Case Study in Uravakonda, Anantapur District, Andhra Pradesh, India
... major land use in the study area is barren/waste ...under barren/waste land has increased by ...of land in the study area is agriculture which was decreased by ...vegetation, ...
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LAND USE AND LAND COVER CHANGE DETECTION AND URBAN SPRAWL ANALYSIS OF VIJAYAWADA CITY USING MULTITEMPORAL LANDSAT DATA
... The land use land cover maps of the study area are developed by supervised classification of the ...Five land use classes have been identified as Urban (Built-up), Water body, Agricultural ...
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Forest cover change and carbon stock assessment in Swat valley using remote sensing and geographical information systems
... Swat Valley is located in the Himalayan-Karakorum-Hindu Kush belt in North Western Pakistan. Remote Sensing and GIS techniques were used as a tool to characterize the rate of change, taking into consideration various ...
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Land Use Change Detection in Akkulam Veli Lake, Thiruvananthapuram, over the Last Three Decades an Analysis using Remote Sensing and GIS Tools
... In this study, a total of, six LULC classes were established as water body, settlement, vegetation, agriculture, aquatic vegetation and barren land. Three dated landsat images were compared using ...
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Land use/land cover classification of Nagapattinam southern coastal region, Tamilnadu, India using remote sensing and GIS
... places barren land especially densely populated coastal ...in barren land classes is expanded by filling materials; these regions increase ...up land class from all kinds of classes of ...
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Detection of Land Use and Surface Temperature Change at Different Resolutions
... between land-use/land-cover change (LULCC) and environment is seriously important to manage arid ...Six land-use/land-cover categories (urban, vegetation, waterlogged 1 and 2, bare ...
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Land use and land cover change detection through remote sensing approach: A case study in the parts of Pudukkottai District, Tamil nadu
... of land use/land cover maps were compared polygon by ...respective land cover maps (Gao, 2009). The results indicated that both land use/land cover conversion and land ...
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Land Cover Fragmentation Using Multi Temporal Remote Sensing on Major Mine Sites in Southern Katanga (Democratic Republic of Congo)
... ernment and was recognized and integrated into the Congolese mining code official journal, special number, April 2003 [33]. However, the deforestation and frag- mentation rates within the reserve remained over the 30 ...
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Studying of the Environmental Changes in Marsh Area Using Landsat Satellite Images
... Classification is the process of grouping pixels or regions of the image into classes representing different ground-cover types. Both unsupervised and supervised classification techniques are used for Landsat images ...
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Land, Income and Land-Use Diversification in Khyber Pakhtunkhwa Province of Northern Pakistan
... of land-use categories over a period of 12 years are described through a graph (Figure 5) and a map (Figure ...and barren land of four sub-regions ...agriculture land, trees) and built-up area ...
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Analytical Study on Urban Expansion Using the Spatial and Temporal Dynamics of Land Use Change in Faisalabad City, Pakistan
... separate land use class interpretation of satellite images with criteria of spectral and land analysis are used to recognize the land use ...four land use classes were recognized and utilized ...
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NEW MODIFIED ELMORE DELAY MODEL FOR RESISTANCE CAPACITANCE CONDUCTANCE (RCG) INTERCONNECT NETWORK SCHEME
... In the first step, the training dataset which consists of features extracted from satellite images are given to the rough set theory, in whichinitially discretization is carried out where data processing to convert the ...
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Exploiting temporal-spatial patterns of informal settlements using GIS and remote sensing technique: a case study of Jimma city, Southwestern Ethiopia
... Maximum likelihood supervised image classifica- tion (Chima et al. 2017) was carried out by using ArcGIS10.2 software and ERDAS 2010 software to produce LULC maps of 1997, 2007 and 2017. Accord- ingly, five LULC classes ...
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An Investigation of Factors for Changing Land Use Pattern in Bihar with a Piercing Insight on Current Fallow Lands
... in land use pattern especially increasing current fallow lands, shrinking net sown area and shifting of lands for non-agricultural purposes in the ...of land such as barren land, culturable ...
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RETRACTED: A Participatory Iterative Mapping Approach and Evaluation of Three Machine Learning Algorithms for Accurate Mapping of Cropping Patterns in a Complex Agro Ecosystems
... We applied time-series analysis of vegetation indices (VIs) (NDVI and EVI) derived from the Mod- erate Resolution Imaging Spectrometer (MODIS) sensors to detect seasonal patterns of irrigated and rainfed cropping ...
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A study on general land use pattern in Thiruvarur district, Tamilnadu, India
... of land on the basis of certain similar characteristics mainly to identity and understand their fundamental utilities intelligently and use is an important aspect of studies in ulture ...ways. Land ...
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Evaluating the normalized difference vegetation index using landsat data by envi in Salem District, Tamilnadu, India
... the Dense Forests. Compare among the seven features of cover type water bodies are very less and the Barren areas, Rock surface, shrub and grass land are mostly occupying Eastern Side of the study area. ...
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A Strategy for Improving the Technology Transfer System in Afghanistan through ATMA Model using Participatory Rural Appraisal (PRA) Approach
... and land management strategy in selected districts and provinces that will introduce or expand the use of high-value, water-efficient crop and livestock systems to increase farm household ...
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Micro-level landslide hazard zonation of Serchhip town, Mizoram, India, using high resolution satellite data
... Landslide has been one of the major geo-environmental problems in the hilly regions such as Mizoram. It is the most frequent and disruptive natural hazard to which Serchhip town is exposed. Owing to its frequent ...
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