Pub Date : 2017-07-26DOI: 10.4172/2469-4134.1000204
V. Mahendran, P. JagadeeswaraRao, Bera Ak
Deserts are the areas of arid ecosystem which make vegetal and animal life difficult to sustain. The process which makes desert is called desertification. It also faces the loss of fertile topsoil at desert boundaries and usually caused by a combination of drought and the over exploitation of grasses and other vegetation by people. Desert sand dunes being soft, are more prone to erosion whether wind or water. Earth Observation Technology (EOT) by use of multi-sensor polar orbiting satellites is able to provide fairly good mapping and monitoring of deserts. An attempt to explore the potential of EOT in studying desertification nexus with geomorphic units in the area of Thar desert of Rajasthan, India has done.
{"title":"Vulnerability of Different Geomorphic Units to Deserts in Parts of Western Rajasthan - A Study Based on Remote Sensing and GIS","authors":"V. Mahendran, P. JagadeeswaraRao, Bera Ak","doi":"10.4172/2469-4134.1000204","DOIUrl":"https://doi.org/10.4172/2469-4134.1000204","url":null,"abstract":"Deserts are the areas of arid ecosystem which make vegetal and animal life difficult to sustain. The process which makes desert is called desertification. It also faces the loss of fertile topsoil at desert boundaries and usually caused by a combination of drought and the over exploitation of grasses and other vegetation by people. Desert sand dunes being soft, are more prone to erosion whether wind or water. Earth Observation Technology (EOT) by use of multi-sensor polar orbiting satellites is able to provide fairly good mapping and monitoring of deserts. An attempt to explore the potential of EOT in studying desertification nexus with geomorphic units in the area of Thar desert of Rajasthan, India has done.","PeriodicalId":427440,"journal":{"name":"Journal of Remote Sensing & GIS","volume":"28 26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124650392","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-07-26DOI: 10.4172/2469-4134.1000203
A. Serwa
Artificial Neural Networks (ANN) is widely used in remote sensing classification. Optimizing ANN still an enigmatic field of research especially in remote sensing. This research work is a trial to discover the ANN activation function to be used perfectly in classification (landcover mapping). The first step is preparing the reference map then assume a selected activation function and receive the ANN fuzzified output. The last step is comparing the output with the reference to reach the accuracy assessment. The research result is fixing the activation function that is perfect to be used in remote sensing classification. A real multi-spectral Landsat 7 satellite images were used and was classified (using ANN) and the accuracy of the classification was assessed with different activation functions. The sigmoid function was found to be the best activation function.
{"title":"Studying the Effect of Activation Function on Classification Accuracy Using Deep Artificial Neural Networks","authors":"A. Serwa","doi":"10.4172/2469-4134.1000203","DOIUrl":"https://doi.org/10.4172/2469-4134.1000203","url":null,"abstract":"Artificial Neural Networks (ANN) is widely used in remote sensing classification. Optimizing ANN still an enigmatic field of research especially in remote sensing. This research work is a trial to discover the ANN activation function to be used perfectly in classification (landcover mapping). The first step is preparing the reference map then assume a selected activation function and receive the ANN fuzzified output. The last step is comparing the output with the reference to reach the accuracy assessment. The research result is fixing the activation function that is perfect to be used in remote sensing classification. A real multi-spectral Landsat 7 satellite images were used and was classified (using ANN) and the accuracy of the classification was assessed with different activation functions. The sigmoid function was found to be the best activation function.","PeriodicalId":427440,"journal":{"name":"Journal of Remote Sensing & GIS","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123394636","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-06-26DOI: 10.4172/2469-4134.1000200
P. Welikhe, J. Quansah, S. Fall, W. McElhenney
The global agronomy community needs quick and frequent information on soil moisture variability and spatial trends in order to maximize crop production to meet growing food demands in a changing climate. However, in situ soil moisture measurement is expensive and labor intensive. Remote sensing based biophysical and predictive regression modeling approach have the potential for efficiently estimating soil moisture content over large areas. The study investigates the use of Moisture Stress Index (MSI) to estimate soil moisture variability in Alabama. In situ data were obtained from Soil Climate Analysis Network (SCAN) sites in Alabama and MSI developed from LANDSAT 8 OLI and LANDSAT 5 TM data. Pearson product moment correlation analysis showed that MSI strongly correlates with 16-day average growing season soil moisture measurements, with negative correlations of -0.519, -0.482 and -0.895 at 5, 10, and 20 cm soil depths respectively. The correlations of MSI and growing season moisture were low at sites where soil moisture was extremely low (<-0.3 at all depths). Simple linear regression model constructed for soil moisture at 20 cm depth (R²=0.79, p<0.05) correlated well with MSI values and was successfully used to estimate soil moisture percentage within a standard error of ± 3. Resulting MSI products were used to successfully produce the spatial distribution of soil moisture percentage at 20 cm depth. The study concludes that MSI is a good indicator of soil moisture conditions, and could be efficiently utilized in areas where in situ soil moisture data are unavailable.
{"title":"Estimation of Soil Moisture Percentage Using LANDSAT-based Moisture Stress Index","authors":"P. Welikhe, J. Quansah, S. Fall, W. McElhenney","doi":"10.4172/2469-4134.1000200","DOIUrl":"https://doi.org/10.4172/2469-4134.1000200","url":null,"abstract":"The global agronomy community needs quick and frequent information on soil moisture variability and spatial trends in order to maximize crop production to meet growing food demands in a changing climate. However, in situ soil moisture measurement is expensive and labor intensive. Remote sensing based biophysical and predictive regression modeling approach have the potential for efficiently estimating soil moisture content over large areas. The study investigates the use of Moisture Stress Index (MSI) to estimate soil moisture variability in Alabama. In situ data were obtained from Soil Climate Analysis Network (SCAN) sites in Alabama and MSI developed from LANDSAT 8 OLI and LANDSAT 5 TM data. Pearson product moment correlation analysis showed that MSI strongly correlates with 16-day average growing season soil moisture measurements, with negative correlations of -0.519, -0.482 and -0.895 at 5, 10, and 20 cm soil depths respectively. The correlations of MSI and growing season moisture were low at sites where soil moisture was extremely low (<-0.3 at all depths). Simple linear regression model constructed for soil moisture at 20 cm depth (R²=0.79, p<0.05) correlated well with MSI values and was successfully used to estimate soil moisture percentage within a standard error of ± 3. Resulting MSI products were used to successfully produce the spatial distribution of soil moisture percentage at 20 cm depth. The study concludes that MSI is a good indicator of soil moisture conditions, and could be efficiently utilized in areas where in situ soil moisture data are unavailable.","PeriodicalId":427440,"journal":{"name":"Journal of Remote Sensing & GIS","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125620518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-06-24DOI: 10.4172/2469-4134.1000201
M. Gangaraju, P. Anitha, Krishna Tv, Sravan Ka
Interpretation of high resolution satellite imagery revealed various Land use/Land cover features in Pindrangi village, High resolution Satellite imagery was acquired from the goggle earth through Sas planet software, the data were acquired for the years 1984, 1994, 2004 and 2014. High resolution Satellite imagery was processed in Arc Map 10.4.1. Further an analysis of the decadal sequence imagery pertaining to decadal aimed at detecting the land use/land cover change has indicated that the plantation has phenomenally increased by 235.20 ha during the study period, at the same period, Crop land (Paddy) which occupied about 66.41 acres in 1984 has been reduced to 17.29 ha by 2014 mainly due to encroachment of plantation like Casurina/Eucalyptus and mango Scrubs area has decreased by 35.52 ha. The present study with the help of GIS and remote sensing (RS) is also a similar attempt in recording and quantifying change in land use and land cover in village level as spatial and temporal extents. The conversion of fallow land and Crop land into plantation around 12.91% in study area.
{"title":"Spatio-Temporal Changes of Land Use/Land Cover of Pindrangi Village Using High Resolution Satellite Imagery","authors":"M. Gangaraju, P. Anitha, Krishna Tv, Sravan Ka","doi":"10.4172/2469-4134.1000201","DOIUrl":"https://doi.org/10.4172/2469-4134.1000201","url":null,"abstract":"Interpretation of high resolution satellite imagery revealed various Land use/Land cover features in Pindrangi village, High resolution Satellite imagery was acquired from the goggle earth through Sas planet software, the data were acquired for the years 1984, 1994, 2004 and 2014. High resolution Satellite imagery was processed in Arc Map 10.4.1. Further an analysis of the decadal sequence imagery pertaining to decadal aimed at detecting the land use/land cover change has indicated that the plantation has phenomenally increased by 235.20 ha during the study period, at the same period, Crop land (Paddy) which occupied about 66.41 acres in 1984 has been reduced to 17.29 ha by 2014 mainly due to encroachment of plantation like Casurina/Eucalyptus and mango Scrubs area has decreased by 35.52 ha. The present study with the help of GIS and remote sensing (RS) is also a similar attempt in recording and quantifying change in land use and land cover in village level as spatial and temporal extents. The conversion of fallow land and Crop land into plantation around 12.91% in study area.","PeriodicalId":427440,"journal":{"name":"Journal of Remote Sensing & GIS","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128973256","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-06-16DOI: 10.4172/2469-4134.1000199
Shikha Panwar
The present study was aimed at the assessment of forest cover and land use changes in the catchment area of Bhimtal lake situated in the Kumaun region of Uttarakhand, India using multitemporal Landsat satellite images. The Landsat satellite images of year 1996 to 2015 were acquired and subjected to supervised classification into four different classes viz. urban, agriculture, forest and water body. The classified maps were verified through random field samples and google earth imagery. The images of study area were categorized into four different classes viz., settlement area, agriculture area, forest area and water body. The results revealed that during last 20 years, the settlement area has been increased from 9.70% to 18.38%, agricultural area has increased from 44.32% to 47.63% and forest area has been decreased 43.58% to 31.47%. The findings from the study will be useful for lake and landscape planning and can serve as a potential source of information to the policy makers of Uttarakhand.
{"title":"Evaluating Land Use/Land Cover Change Dynamics in Bhimtal Lake Catchment Area, Using Remote Sensing & GIS Techniques","authors":"Shikha Panwar","doi":"10.4172/2469-4134.1000199","DOIUrl":"https://doi.org/10.4172/2469-4134.1000199","url":null,"abstract":"The present study was aimed at the assessment of forest cover and land use changes in the catchment area of Bhimtal lake situated in the Kumaun region of Uttarakhand, India using multitemporal Landsat satellite images. The Landsat satellite images of year 1996 to 2015 were acquired and subjected to supervised classification into four different classes viz. urban, agriculture, forest and water body. The classified maps were verified through random field samples and google earth imagery. The images of study area were categorized into four different classes viz., settlement area, agriculture area, forest area and water body. The results revealed that during last 20 years, the settlement area has been increased from 9.70% to 18.38%, agricultural area has increased from 44.32% to 47.63% and forest area has been decreased 43.58% to 31.47%. The findings from the study will be useful for lake and landscape planning and can serve as a potential source of information to the policy makers of Uttarakhand.","PeriodicalId":427440,"journal":{"name":"Journal of Remote Sensing & GIS","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121682096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-06-16DOI: 10.4172/2469-4134.1000202
A. An, P. S. Prasad, K. Kumar
Chamoli and Karnaprayag district of Uttrakhand comprises of fragile lithological formations and lies in highly vulnerable zone in terms of natural disasters. It's latitude and longitude ranges between 29°50’N to 30°40’N and 78°40'E to 79°50'E. The area is highly prone to frequent hazards like landslide, earthquake, cloud burst and flash floods. Advanced Space borne Thermal Emission and Reflection Radiometer (ASTER) has been used for preparing Digital Elevation Model (DEM), slope, aspect and various other maps which have been used for evaluation of linear and areal parameters. The studies have been carried out on 64 selected 4th order river basins in Chamoli and Karnaprayag district using ARC GIS. There are various parameters like stream order, stream number, Bifurcation ratio, Drainage density, Form Factor, Elongation ratio etc. had been analyzed on the river basins. The lower values of Bifurcation ratio in basins represent geological heterogeneity, high permeability and less structural control. The value of Drainage Density varies between 1.3-2.2 Km-1 which implies development of coarse grained texture. The complex relationship between the values of Elongation ratio, Circularity ratio and Form factor in some basins represents that these passing through structural thrust. The anomalous values of linear and areal parameters suggest that basins of the study area are geologically, structurally and lithologically controlled. The occurrences of landslide, earthquake has reliable relation with computed parameters. Since the outcome of the study will act as precursors for natural disasters.
{"title":"Geomorphometric Analysis of Chamoli and Karnaprayag District, Uttrakhand in Respect to Hazard Zonation of The Area","authors":"A. An, P. S. Prasad, K. Kumar","doi":"10.4172/2469-4134.1000202","DOIUrl":"https://doi.org/10.4172/2469-4134.1000202","url":null,"abstract":"Chamoli and Karnaprayag district of Uttrakhand comprises of fragile lithological formations and lies in highly vulnerable zone in terms of natural disasters. It's latitude and longitude ranges between 29°50’N to 30°40’N and 78°40'E to 79°50'E. The area is highly prone to frequent hazards like landslide, earthquake, cloud burst and flash floods. Advanced Space borne Thermal Emission and Reflection Radiometer (ASTER) has been used for preparing Digital Elevation Model (DEM), slope, aspect and various other maps which have been used for evaluation of linear and areal parameters. The studies have been carried out on 64 selected 4th order river basins in Chamoli and Karnaprayag district using ARC GIS. There are various parameters like stream order, stream number, Bifurcation ratio, Drainage density, Form Factor, Elongation ratio etc. had been analyzed on the river basins. The lower values of Bifurcation ratio in basins represent geological heterogeneity, high permeability and less structural control. The value of Drainage Density varies between 1.3-2.2 Km-1 which implies development of coarse grained texture. The complex relationship between the values of Elongation ratio, Circularity ratio and Form factor in some basins represents that these passing through structural thrust. The anomalous values of linear and areal parameters suggest that basins of the study area are geologically, structurally and lithologically controlled. The occurrences of landslide, earthquake has reliable relation with computed parameters. Since the outcome of the study will act as precursors for natural disasters.","PeriodicalId":427440,"journal":{"name":"Journal of Remote Sensing & GIS","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125288455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-05-24DOI: 10.4172/2469-4134.1000198
Abolfazl Abdallah, A. Mohammadian, Mojgan Pashaie Nejad
Flooding is one of the natural disasters which have effects most areas of the country and caused the loss of life and property; therefore, identifying of areas which are susceptible to flooding is one the most important measures in reducing losses. Classification and prioritization of sub-catchments is the first step to counter or mitigate the effects of flooding in the drainage basins. On this basis, the purpose of this study was to classify the flooding potential of sub-catchments of “Kashafrud” catchment in the “Khorasan Razavi” province by the use of ELECTRE-TRI Algorithm based on optimistic procedure and consistency control perspectives. To achieve this, the 1: 250,000 topographic map and waterways map of the target area were studied and area was divided into 10 sub-basins, then 8 morph hydrological parameters affecting the flooding potential including basin’s form factor, elongation ratio, circularity ratio, bifurcation ratio, drainage density, Mean basin slope and area were evaluated. After the evaluation, it was found that “Mashhad” and “Torghabe” subbasins had a high-risk of flooding because of the high value of drainage density and low value of bifurcation ratio in these areas, which both have a higher effect in flooding potential compared to other factors. Toos, Chenaran, Qazqan and sub-basins had a low risk of flooding because of the low values of the factors which increase the flooding potential and high values of the factors which decrease it.
{"title":"The Map of Kashafrud Catchments Prioritization in terms of Flooding Susceptibility Located in Khorasan Razavi Province Based on ELECTRETRI Algorithm","authors":"Abolfazl Abdallah, A. Mohammadian, Mojgan Pashaie Nejad","doi":"10.4172/2469-4134.1000198","DOIUrl":"https://doi.org/10.4172/2469-4134.1000198","url":null,"abstract":"Flooding is one of the natural disasters which have effects most areas of the country and caused the loss of life and property; therefore, identifying of areas which are susceptible to flooding is one the most important measures in reducing losses. Classification and prioritization of sub-catchments is the first step to counter or mitigate the effects of flooding in the drainage basins. On this basis, the purpose of this study was to classify the flooding potential of sub-catchments of “Kashafrud” catchment in the “Khorasan Razavi” province by the use of ELECTRE-TRI Algorithm based on optimistic procedure and consistency control perspectives. To achieve this, the 1: 250,000 topographic map and waterways map of the target area were studied and area was divided into 10 sub-basins, then 8 morph hydrological parameters affecting the flooding potential including basin’s form factor, elongation ratio, circularity ratio, bifurcation ratio, drainage density, Mean basin slope and area were evaluated. After the evaluation, it was found that “Mashhad” and “Torghabe” subbasins had a high-risk of flooding because of the high value of drainage density and low value of bifurcation ratio in these areas, which both have a higher effect in flooding potential compared to other factors. Toos, Chenaran, Qazqan and sub-basins had a low risk of flooding because of the low values of the factors which increase the flooding potential and high values of the factors which decrease it.","PeriodicalId":427440,"journal":{"name":"Journal of Remote Sensing & GIS","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117289633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-05-15DOI: 10.4172/2469-4134.1000197
A. Alegria, E. Zimányi, J. Cornelis, H. Sahli
Landmines and Explosive Remnants of War (ERW) continue to represent a significant nuisance for society in affected countries. Coping with humanitarian and development activities, mine action aims at both, reducing the impacts of the presence of landmines/ERW on the population, and ultimately returning cleared land to the communities. These are the main tasks of mine action decision makers. This study combines landmine/ERW contamination data with explanatory variables that contain information about underlying targets. They are integrated into a risk mapping framework using Geographic Information Systems with other information sources, such as remote sensing. The aim of this paper is to provide insights into the populations and/or locations at risk caused by landmine and ERW impacts on a broad and local scale. Thus, the concept of ‘hotspots’ is particularly useful because it provides a visual representation of exposure, aided by a geo-spatial representation of ‘priority areas for mine action planners to focus on. We apply the Kernel Density Estimator (KDE) to derive such ‘hotspots’. KDE is proposed as the basis to define landmine and ERW hazard, vulnerability, and element-at-risk maps, which enable producing a final output, the landmine/ERW risk map. This is accomplished by using an adaptive kernel bandwidth for datasets with highly heterogeneous spatial distributions, and a problem-specific method for generating point samples from polygon data, before using them as inputs for KDE. The geo-statistical model presented here is a time-and-cost-efficient method to construct a landmine risk map, that is as representative as those produced by mine action actors. It can be used as a complement to the risk area maps made by these actors because they are slightly different but show a large degree of overlap. Moreover, the method helps revealing the variables which are the most linked to landmine/ERW-related events in the study area.
{"title":"Hazard Mapping of Landmines and ERW Using Geo-Spatial Techniques","authors":"A. Alegria, E. Zimányi, J. Cornelis, H. Sahli","doi":"10.4172/2469-4134.1000197","DOIUrl":"https://doi.org/10.4172/2469-4134.1000197","url":null,"abstract":"Landmines and Explosive Remnants of War (ERW) continue to represent a significant nuisance for society in affected countries. Coping with humanitarian and development activities, mine action aims at both, reducing the impacts of the presence of landmines/ERW on the population, and ultimately returning cleared land to the communities. These are the main tasks of mine action decision makers. This study combines landmine/ERW contamination data with explanatory variables that contain information about underlying targets. They are integrated into a risk mapping framework using Geographic Information Systems with other information sources, such as remote sensing. The aim of this paper is to provide insights into the populations and/or locations at risk caused by landmine and ERW impacts on a broad and local scale. Thus, the concept of ‘hotspots’ is particularly useful because it provides a visual representation of exposure, aided by a geo-spatial representation of ‘priority areas for mine action planners to focus on. We apply the Kernel Density Estimator (KDE) to derive such ‘hotspots’. KDE is proposed as the basis to define landmine and ERW hazard, vulnerability, and element-at-risk maps, which enable producing a final output, the landmine/ERW risk map. This is accomplished by using an adaptive kernel bandwidth for datasets with highly heterogeneous spatial distributions, and a problem-specific method for generating point samples from polygon data, before using them as inputs for KDE. The geo-statistical model presented here is a time-and-cost-efficient method to construct a landmine risk map, that is as representative as those produced by mine action actors. It can be used as a complement to the risk area maps made by these actors because they are slightly different but show a large degree of overlap. Moreover, the method helps revealing the variables which are the most linked to landmine/ERW-related events in the study area.","PeriodicalId":427440,"journal":{"name":"Journal of Remote Sensing & GIS","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131868012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-05-04DOI: 10.4172/2469-4134.1000196
Duguma Erasu
Recently, the pull of urban center is snowballing, more and more people move to the urban center to earn more money than rural areas especially in developing countries. Consequently, as more people arrive at urban areas, the more pressure will be on the urban environment. Population growth, immigration, and growing environmental problems entail advanced systems for city planners to help sustainable development in these rapidly changing regions. This problem can solve using remote sensing system. The purpose of this paper is to reveal the application of remote sensing technology for urban and use and land cover change detection and disclose certain sequences in detecting urban land use change.
{"title":"Remote Sensing-Based Urban Land Use/Land Cover Change Detection and Monitoring","authors":"Duguma Erasu","doi":"10.4172/2469-4134.1000196","DOIUrl":"https://doi.org/10.4172/2469-4134.1000196","url":null,"abstract":"Recently, the pull of urban center is snowballing, more and more people move to the urban center to earn more money than rural areas especially in developing countries. Consequently, as more people arrive at urban areas, the more pressure will be on the urban environment. Population growth, immigration, and growing environmental problems entail advanced systems for city planners to help sustainable development in these rapidly changing regions. This problem can solve using remote sensing system. The purpose of this paper is to reveal the application of remote sensing technology for urban and use and land cover change detection and disclose certain sequences in detecting urban land use change.","PeriodicalId":427440,"journal":{"name":"Journal of Remote Sensing & GIS","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123221638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-04-24DOI: 10.4172/2469-4134.1000195
M. Bilek, Louisa Amireche
In the context of the modernization of Algiers capital, the transport-sector efficiency is one of the actions undertaken to ensure its development. Among the projected means, the metro which enables a better accessibility. Indeed, the objective is to study the impact of the planned metro-line on the accessibility towards the major urban projects recently built in the north-western part of Algiers that has the mostly suffered by the isolation. This study was carried out using GIS and the cumulative opportunity indicator which is focused on travel-time calculation. The measurement of the access quality of the inhabitants to three major urban-projects (destinations) has done according to defined time-thresholds, including all the travel-components of public-transport. Two possible scenarios of different public-transport network were taken in consideration to demonstrate the accessibility changes. The results revealed the positive impact of the planned metro-line in reducing the unequal accessibility to various urban projects, notably the Al-Qods commerce and business centre and medical school, where the population benefiting of an access of less than 30 mins, will increase, respectively, from 30% to 44% and from 12.5% to 30%. However, the Algiers Opera is the least accessible destination, excluding the zones crossed by the metro-line, where only 8.4% of the population who will have access to this equipment at less than 30 mins.
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