Journal of Remote Sensing & GIS最新文献_第10页

Motion Detection in Satellite Video 卫星视频中的运动检测

Journal of Remote Sensing & GIS Pub Date : 2017-03-29 DOI: 10.4172/2469-4134.1000194

Aigong Xu, Jiaqi Wu, Guo Zhang, shen-fu Pan, Taoyang Wang, Yonghua Jang, Xin Shen

{"title":"Motion Detection in Satellite Video","authors":"Aigong Xu, Jiaqi Wu, Guo Zhang, shen-fu Pan, Taoyang Wang, Yonghua Jang, Xin Shen","doi":"10.4172/2469-4134.1000194","DOIUrl":"https://doi.org/10.4172/2469-4134.1000194","url":null,"abstract":"In view of the problem of satellite video motion detection, a background subtraction method of combining global motion compensation and local dynamic updating is proposed. In the first instance, the improved ViBE model method is used to establish the background model in the middle frame. The background model has one more dynamic update factor. Secondly, the motion model of global scene between frames is estimated by using uniform blocked forward-back LK optical flow, and the global motion compensation is performed. Last but not least, comparison between compensated frame and model, and connected domain analysis are employed to detect and segment the motion objects. Even more, we can correct the update factor of model according to the “pseudo motion” judgment. And then, the model would be updated locally and adaptively. “Target-wise” evaluation recall rate method is proposed which statistic the object entirety but not pixels. We do four experiments using Skysat and JL1H video. The results show that the proposed method perform a favorable effect on “Target-wise” recall rate and the error detection rate is low. The “Target-wise” recall rate is better than 80%. The error detection rate is reduced by at least 10 times, and even more than 160 times, compared with the classical method. The method could be suitable for advanced application and motion analysis in satellite video","PeriodicalId":427440,"journal":{"name":"Journal of Remote Sensing & GIS","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122207234","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: 8

Development of a Point-based Method for Map Validation and Confidence Interval Estimation: A Case Study of Burned Areas in Amazonia 基于点的地图验证和置信区间估计方法的发展——以亚马逊地区烧伤地区为例

Journal of Remote Sensing & GIS Pub Date : 2017-03-10 DOI: 10.4172/2469-4134.1000193

L. Anderson, D. Cheek, L. Aragão, Luaê Andere, B. Duarte, N. Salazar, A. Lima, V. Duarte, E. Arai

{"title":"Development of a Point-based Method for Map Validation and Confidence Interval Estimation: A Case Study of Burned Areas in Amazonia","authors":"L. Anderson, D. Cheek, L. Aragão, Luaê Andere, B. Duarte, N. Salazar, A. Lima, V. Duarte, E. Arai","doi":"10.4172/2469-4134.1000193","DOIUrl":"https://doi.org/10.4172/2469-4134.1000193","url":null,"abstract":"Forest fires and their associated emissions are a key component for the efficient implementation of the Reducing Emissions from Deforestation and Forest Degradation (REDD+) policy. The most suitable method for quantifying large scale fire-associated impacts is by mapping burned areas using remote sensing data. However, to provide robust quantification of the impacts of fire and support coherent policy decisions, these thematic maps must have their accuracy quantitatively assessed. The aim of this research is to present a point-based validation method developed for quantifying the accuracy of burned area thematic maps and test this method in a study case in the Amazon. The method is general; it can be applied to any thematic map consisting of two land cover classes. A stratified random sampling scheme is used to ensure that each class is represented adequately. The confidence intervals for the user’s accuracies and for both overall accuracy and area error are calculated using the Wilson Score method and Jeffrey Perks interval, respectively. Such interval methods are novel in the context of map accuracy assessment. Despite the complexity of calculation of the confidence intervals, their use is recommended. A spreadsheet to calculate point and interval estimates is provided for users.","PeriodicalId":427440,"journal":{"name":"Journal of Remote Sensing & GIS","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116240994","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: 12

Structuring a Database of Remote Sensing Methods and GIS in Reclamation of Disturbed Land 扰动土地复垦遥感方法与GIS数据库的构建

Journal of Remote Sensing & GIS Pub Date : 2017-03-03 DOI: 10.4172/2469-4134.1000192

M. Banov, S. Rousseva, E. Markov, Nevena Miteva

{"title":"Structuring a Database of Remote Sensing Methods and GIS in Reclamation of Disturbed Land","authors":"M. Banov, S. Rousseva, E. Markov, Nevena Miteva","doi":"10.4172/2469-4134.1000192","DOIUrl":"https://doi.org/10.4172/2469-4134.1000192","url":null,"abstract":"The main large consumer of the products of the coal appear thermal power plants (TPP). The activity of similar energy complexes is connected with the recovery of significant quantities of coal, characterized by the different qualities depending on the region from which they are derived. The process of production of electrical energy is accompanied with the accumulation of a large quantity of waste products (mainly ash and breeze), which are disposed in a over burdens. \u0000Besides the release of polluting aerosols in the process of energy production, constructed over burdens additionally polluted components of the environment especially when it is not identifying measures for their restoration. \u0000The purpose of the paper is: \u0000• To develop a technological scheme for closure and reclamation of landfill of TPP \"Rousse - West\" by locating in GIS disturbed terrain (tailing pond). \u0000• To build the ASR /Geographical database/ that integrates data from different sources, including field measurements, data from the physical and chemical analysis and others. \u0000• To justify the relevance of this approach in landfills, mines and damaged areas of different types, subject to reclamation. \u0000• A propose for humus reclamation with formation of favorable plant growth conditions and improving of reclaimed area properties acceleration has made. \u0000• Two types of biological reclamation, included artificially grassing with selective usage of grass species medley or afforestation with suitable wood species in combination with grass formations have been under consideration. \u0000For grassing are proposed the perennial wheat forage species: Festuca pratensis, Huds., Festuca rubra, L., Poa pratensis, L., Trifolium pratense, L. and Trifolium repens, L. For afforestation are proposed wood species: Robinia pseudoacacia, L. in combination with grass formation, included Lolium perenne, L. and Alopecurus pratensis, L.","PeriodicalId":427440,"journal":{"name":"Journal of Remote Sensing & GIS","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128404363","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

Evaluation of Water Quality for Irrigation Purpose in Sitanadi Basin, Udupi District, Karnataka 卡纳塔克邦Udupi区Sitanadi流域灌溉用水水质评价

Journal of Remote Sensing & GIS Pub Date : 2017-03-01 DOI: 10.37591/.V8I1.421

A. Vittal, Gajalakshmi Bharath

{"title":"Evaluation of Water Quality for Irrigation Purpose in Sitanadi Basin, Udupi District, Karnataka","authors":"A. Vittal, Gajalakshmi Bharath","doi":"10.37591/.V8I1.421","DOIUrl":"https://doi.org/10.37591/.V8I1.421","url":null,"abstract":"Present study has been carried out with the objective to assess various factors controlling the groundwater quality with respect to irrigation, seasonal variations of groundwater quality for pre and post monsoon periods and to compare its suitability for irrigation use confirming to the latest water quality standards for irrigation. Sitanadi basin is located in the west coast of peninsular India, Udupi district of Karnataka. It extended between 13°20 ×³ and 13°35 ×³ N latitudes and 74°40 ×³ and 75°10 ×³ E longitude. The geographical area of basin is about 643.65 sq. km. A total of 56 open dug wells were inventoried for groundwater samples collection in Sitanadi basin. Two sets of groundwater samples were collected from the dug wells during pre-monsoon and post-monsoon seasons of 2013, 2014 and 2015. Immediately after sampling, pH, EC, and TDS are tested in the field by a portable pH and an EC meter. These samples are used for analysis of major cations (Mg 2+ , Na + , Ca 2+ , K + ) and major anions (HCO 3 - , Cl - , SO 4 2- , NO 3 2- ). These parameters are used to derive irrigation quality of ground water such as SAR, %Na, Residual Sodium carbonate, Magnesium Hazards, Kellie’s ratio, CAI-I and CAI-II, Ca 2+/ Mg 2+ ratio, Soluble Sodium Percentage, Potential salinity and Exchangeable Sodium Percentage. The ground water is found to fit to use for irrigation purposes except in few locations with respect to very few parameters such as Kelliy’s Ratio and Soluble Sodium Percentage. Keywords: Irrigation, water quality, classification Cite this Article Anantharama Vittal, Gajalakshmi Bharath. Evaluation of Water Quality for Irrigation Purpose in Sitanadi Basin, Udupi District, Karnataka. Journal of Remote Sensing & GIS . 2017; 8(1): 9–24p.","PeriodicalId":427440,"journal":{"name":"Journal of Remote Sensing & GIS","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116144327","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

Accra Flood Modelling through Application of Geographic Information Systems (GIS), Remote Sensing Techniques and Analytical Hierarchy Process 利用地理信息系统、遥感技术和层次分析法建立阿克拉洪水模型

Journal of Remote Sensing & GIS Pub Date : 2017-02-25 DOI: 10.4172/2469-4134.1000191

Clement Kwang, E. M. O. Jnr.

{"title":"Accra Flood Modelling through Application of Geographic Information Systems (GIS), Remote Sensing Techniques and Analytical Hierarchy Process","authors":"Clement Kwang, E. M. O. Jnr.","doi":"10.4172/2469-4134.1000191","DOIUrl":"https://doi.org/10.4172/2469-4134.1000191","url":null,"abstract":"Urban Flooding is one of world’s problems in recent times because of its frequent occurrence which results in loss of lives and properties. The first step in flood management is the development of hazard maps. Flood hazard mapping forms the foundation of the decision-making process by providing information which is essential to the understanding of nature and characteristics of flooding to risk community or city. Flood modelling is a complex problem and therefore a lot of factors should be considered before the final map showing flood prone areas are produced. The degree at which each of these factors contributes to flooding must be weighted by using multi decision process before incorporating them in an integrating environment such as GIS to produce the final prediction map. In this study, this approach was employed by using GIS and Analytical Hierarchy Process (AHP). The layers that were used in the flooding included; Slope, Drainage basin, Rainfall, Soil, Land Use and Digital Terrain Model (DEM). The result obtained was more accurate as compared to the previous works done on Accra flooding. This is because more than one contributing factors were considered and at the same time, weights were assigned to these contributing factors before overlaying them to produce the final map. The previously occurred flood places were all found in the high possibilities flooding zones. The flood prone map indicates that almost the whole area of Accra and Greater Accra Region has a possibility of flooding. However, the riskiest areas are Accra Metropolitan, Ledzokuku Krowor, Ga West and Ga South.","PeriodicalId":427440,"journal":{"name":"Journal of Remote Sensing & GIS","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125391012","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: 12

The Potential for Climate Impacts from Widespread Deployment of Utility-Scale Solar Energy Installations: An Environmental Remote Sensing Perspective 广泛部署公用事业规模的太阳能装置对气候的潜在影响:环境遥感视角

Journal of Remote Sensing & GIS Pub Date : 2017-02-22 DOI: 10.4172/2469-4134.1000190

Shuang Li, James A. Weig, S. Ganguly

{"title":"The Potential for Climate Impacts from Widespread Deployment of Utility-Scale Solar Energy Installations: An Environmental Remote Sensing Perspective","authors":"Shuang Li, James A. Weig, S. Ganguly","doi":"10.4172/2469-4134.1000190","DOIUrl":"https://doi.org/10.4172/2469-4134.1000190","url":null,"abstract":"Solar energy systems directly benefit the environment by avoiding CO2 emissions that would otherwise be generated from fossil-fuel power plants. Indirect impacts to climate may also result at local-, regional-, and globalscales, but these impacts are as yet poorly understood and characterized. Widespread deployment of utility-scale solar energy (USSE) installations may alter the radiative balance at the land-atmosphere interface by shifting radiative forcing that eventually changes climate. When USSE installations displace cropland or desert surface, this deployment introduces complicated effects on local radiative forcing. This article presents for the first time satellitebased measurements to assess USSE impacts on earth-atmosphere interactions relating to climate feedbacks. Long-term shortwave albedo and longwave emissivity data derived from NASA satellites were used for this case study to assess the potential radiative balance effects of USSE deployment. The results show that USSE deployment appears to change albedo and emissivity. Albedo decreased and emissivity generally increased in two of three instances when a USSE installation was constructed in semi-arid regions.","PeriodicalId":427440,"journal":{"name":"Journal of Remote Sensing & GIS","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131835971","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: 10

A Geographical Analysis of Land Use/Land Cover Dynamics in Lolab Watershed of Kashmir Valley, Western Himalayas Using Remote Sensing and GIS 基于遥感和GIS的西喜马拉雅克什米尔山谷Lolab流域土地利用/覆被动态地理分析

Journal of Remote Sensing & GIS Pub Date : 2017-01-09 DOI: 10.4172/2469-4134.1000189

M. Shafiq, A. A. Mir, R. Rasool, Harmeet Singh, P. Ahmed

{"title":"A Geographical Analysis of Land Use/Land Cover Dynamics in Lolab Watershed of Kashmir Valley, Western Himalayas Using Remote Sensing and GIS","authors":"M. Shafiq, A. A. Mir, R. Rasool, Harmeet Singh, P. Ahmed","doi":"10.4172/2469-4134.1000189","DOIUrl":"https://doi.org/10.4172/2469-4134.1000189","url":null,"abstract":"This study is an attempt to analyze and highlight the present state of land use/land cover in Lolab watershed of Kashmir valley in western Himalayan environment. Land use/land cover determines the structure, functions and dynamics of most landscapes. The rampant changes in land use/land cover at regional watershed scale have wider ramifications on the environment. The land use/land cover is under tremendous anthropogenic pressure. Rapid and extensive modifications of land use/land cover due to accelerated human activities especially in fragile mountainous ecosystems like Kashmir valley have wider environmental ramifications. Watershed is an ideal spatial management unit for analyzing land dynamics and for initiation of holistic integrated conservation strategies. The present study carries out the land use/land cover change detection studies were from the year 2002 to 2014. A total of seven categories were delineated and during the study period, the forests showed a decrease from 45.31 percent in 2002 to 44.61 in 2014 i.e., 0.7 percent decrease while as horticulture showed an increase from 8.05 percent in 2002 to 9.91 percent in 2014, thus registering an increase of 1.86 percent. Agriculture has decreased to 1.04 percent during the study period. The overall, scenario presented by the study reveals that the land use/land cover change is quite visible throughout the study area.","PeriodicalId":427440,"journal":{"name":"Journal of Remote Sensing & GIS","volume":"215 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131690028","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: 10

Interfacing Grass-GIS and R: Road Descriptive Statistical Representation based on Slope 基于坡度的道路描述性统计表示

Journal of Remote Sensing & GIS Pub Date : 2017-01-04 DOI: 10.4172/2469-4134.1000188

Kumari Pritee, R. Garg

{"title":"Interfacing Grass-GIS and R: Road Descriptive Statistical Representation based on Slope","authors":"Kumari Pritee, R. Garg","doi":"10.4172/2469-4134.1000188","DOIUrl":"https://doi.org/10.4172/2469-4134.1000188","url":null,"abstract":"As lots of GIS (Geographic Information systems) applications for statistical purposes are available in the market but still there is lots of demand of integration of GRASS-GIS i.e., Geographic Resources Analysis support GIS with the R statistical package. Many researchers always want to explore, analyse, complex analysis of spatial data with statistical problems and dealing with large areas in less amount of time and memory within individual software but this is not possible without integration. However, the integration of GRASS-GIS and R statistical package play a very important role to fulfil all needs related to computation, analyse, retrieve, image processing, graphics production and query spatial data. GRASS is open source software freely available, used for data management, analysis of geospatial data, spatial modelling with visualization whereas R (Open Source Package) enables all statistical environments with better quality plots providing linear or non-linear modelling, time series analysis with classification and clustering. In this paper, GRASS-GIS i.e., GIS subsystem act as a simple interface for R i.e., statistical computing subsystem for both raster and vector spatial data which provides commands to GRASS program via R system () function. Integration also enables all R plotting and analytical functions i.e., kriging prediction; kernel density pattern estimation etc. and proves very beneficial with the perception of research and educational purposes. It is also capable to provide introductory knowledge of both open software’s packages with their flexibility, robustness capability. This paper also introduces an example of classification of roads on the basis of slope via box plot representation by interfacing R in GRASS Environment.","PeriodicalId":427440,"journal":{"name":"Journal of Remote Sensing & GIS","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125158349","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

Differentiating Non-Homoscedasticity and Geospatially Extreme Outliers for Urban and Rural Landscape Dataset Using Pearson's Product Moment Correlation Coefficients for Quantitating Clustering Tendencies in Non- Vaccinated Measles Populations in Nigeria 利用Pearson积差相关系数对尼日利亚未接种麻疹疫苗人群的聚类趋势进行城市和农村景观数据集的非均方差和地理空间极端异常值的区分

Journal of Remote Sensing & GIS Pub Date : 2016-12-10 DOI: 10.4172/2469-4134.1000185

S. Alao, Komi Mati, B. Jacob

{"title":"Differentiating Non-Homoscedasticity and Geospatially Extreme Outliers for Urban and Rural Landscape Dataset Using Pearson's Product Moment Correlation Coefficients for Quantitating Clustering Tendencies in Non- Vaccinated Measles Populations in Nigeria","authors":"S. Alao, Komi Mati, B. Jacob","doi":"10.4172/2469-4134.1000185","DOIUrl":"https://doi.org/10.4172/2469-4134.1000185","url":null,"abstract":"Linearized Models on measles vaccination related centroids in literature cannot provide pertinent data for local government measles managers. Spatial analysis is a cost cutting epidemiological tool for large scale immunization programs. A multivariate regression model was constructed to determine anthropogenic related covariates. In addition, we quantitated the clustering tendencies in the auto- correlated dataset using orthogonal eigenvectors and also illustrated problem hot spots for effective vaccine coverage. Data was retrieved from Demographic Health survey 2013 for Nigeria (N=28,337). Poverty, illiteracy level, and no vitamin A supplements were strong determinants of measles non-vaccination at a statistically significant level of (P<0.0001). The first order autocorrelation statistics (DW=0.1647, P<0.0001), (DW=0.2406, P<0.0001); and second order correlation (Moran’s I=0.456, Z score=1208), (Moran’s I=0.442, Z score=608) demonstrated a positive spatial autocorrelation for rural and urban geo-locations respectively. Land cover land use (LCLU) maps from Google earth and Diva-GIS were uploaded into ArcMap to visually represent the hot spot areas. Significant Mapped data showed that children not vaccinated against measles are clustered in the rural areas of Muslim dominated northern parts of Nigeria.","PeriodicalId":427440,"journal":{"name":"Journal of Remote Sensing & GIS","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130961222","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

Does Elevation Play a Role in the Transmission of Pulmonary Tuberculosis in South Africa 海拔在南非肺结核传播中起作用吗

Journal of Remote Sensing & GIS Pub Date : 2016-12-09 DOI: 10.4172/2469-4134.1000184

M. Rey, S. Alao, B. Jacob

引用次数: 0