Journal of Remote Sensing & GIS最新文献_第9页

Vulnerability of Different Geomorphic Units to Deserts in Parts of Western Rajasthan - A Study Based on Remote Sensing and GIS 基于遥感和GIS的拉贾斯坦邦西部部分地区不同地貌单元对沙漠的脆弱性研究

Journal of Remote Sensing & GIS Pub Date : 2017-07-26 DOI: 10.4172/2469-4134.1000204

V. Mahendran, P. JagadeeswaraRao, Bera Ak

引用次数: 3

Studying the Effect of Activation Function on Classification Accuracy Using Deep Artificial Neural Networks 利用深度人工神经网络研究激活函数对分类精度的影响

Journal of Remote Sensing & GIS Pub Date : 2017-07-26 DOI: 10.4172/2469-4134.1000203

A. Serwa

引用次数: 11

Estimation of Soil Moisture Percentage Using LANDSAT-based Moisture Stress Index 基于landsat的水分胁迫指数估算土壤水分百分比

Journal of Remote Sensing & GIS Pub Date : 2017-06-26 DOI: 10.4172/2469-4134.1000200

P. Welikhe, J. Quansah, S. Fall, W. McElhenney

{"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}

引用次数: 37

Spatio-Temporal Changes of Land Use/Land Cover of Pindrangi Village Using High Resolution Satellite Imagery 基于高分辨率卫星影像的品卓基村土地利用/覆被时空变化研究

Journal of Remote Sensing & GIS Pub Date : 2017-06-24 DOI: 10.4172/2469-4134.1000201

M. Gangaraju, P. Anitha, Krishna Tv, Sravan Ka

引用次数: 4

Evaluating Land Use/Land Cover Change Dynamics in Bhimtal Lake Catchment Area, Using Remote Sensing & GIS Techniques 基于遥感和GIS技术的Bhimtal湖集水区土地利用/土地覆盖变化动态评价

Journal of Remote Sensing & GIS Pub Date : 2017-06-16 DOI: 10.4172/2469-4134.1000199

Shikha Panwar

引用次数: 2

Geomorphometric Analysis of Chamoli and Karnaprayag District, Uttrakhand in Respect to Hazard Zonation of The Area 北阿坎德邦Chamoli和Karnaprayag地区的地貌学分析及其危害区划

Journal of Remote Sensing & GIS Pub Date : 2017-06-16 DOI: 10.4172/2469-4134.1000202

A. An, P. S. Prasad, K. Kumar

{"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}

引用次数: 2

The Map of Kashafrud Catchments Prioritization in terms of Flooding Susceptibility Located in Khorasan Razavi Province Based on ELECTRETRI Algorithm 基于ELECTRETRI算法的呼罗珊拉扎维省卡沙弗鲁德集水区洪水易感性排序图

Journal of Remote Sensing & GIS Pub Date : 2017-05-24 DOI: 10.4172/2469-4134.1000198

Abolfazl Abdallah, A. Mohammadian, Mojgan Pashaie Nejad

{"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}

引用次数: 0

Hazard Mapping of Landmines and ERW Using Geo-Spatial Techniques 利用地理空间技术绘制地雷和战争遗留爆炸物的危害图

Journal of Remote Sensing & GIS Pub Date : 2017-05-15 DOI: 10.4172/2469-4134.1000197

A. Alegria, E. Zimányi, J. Cornelis, H. Sahli

{"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}

引用次数: 4

Remote Sensing-Based Urban Land Use/Land Cover Change Detection and Monitoring 基于遥感的城市土地利用/土地覆盖变化检测与监测

Journal of Remote Sensing & GIS Pub Date : 2017-05-04 DOI: 10.4172/2469-4134.1000196

Duguma Erasu

引用次数: 27

GIS-Based Prediction of Metro-Line Impact on Accessibility in Public Transport by Modelling Travel Time: A Case Study of North-Western Zone of Algiers, Algeria 基于gis的出行时间模型预测地铁线路对公共交通可达性的影响——以阿尔及利亚阿尔及尔西北地区为例

Journal of Remote Sensing & GIS Pub Date : 2017-04-24 DOI: 10.4172/2469-4134.1000195

M. Bilek, Louisa Amireche

{"title":"GIS-Based Prediction of Metro-Line Impact on Accessibility in Public Transport by Modelling Travel Time: A Case Study of North-Western Zone of Algiers, Algeria","authors":"M. Bilek, Louisa Amireche","doi":"10.4172/2469-4134.1000195","DOIUrl":"https://doi.org/10.4172/2469-4134.1000195","url":null,"abstract":"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.","PeriodicalId":427440,"journal":{"name":"Journal of Remote Sensing & GIS","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115949333","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}

引用次数: 2