International Journal of Remote Sensing Applications最新文献

{"title":"High Spatial-Resolution Land Cover Classification and Wetland Mapping over Large Areas Using Integrated Geospatial Technologies","authors":"P. Nagel, B. J. Cook, F. Yuan","doi":"10.14355/IJRSA.2014.0402.01","DOIUrl":"https://doi.org/10.14355/IJRSA.2014.0402.01","url":null,"abstract":"Land Use and Land Cover (LULC) and wetland classification maps are an important prerequisite for many environmental studies. In order to produce accurate LULC and wetland maps at high spatialresolution, a new approach was developed to integrate image classifications, spatial data layers, and analysis methods using Python scripting. Both Maximum Likelihood and Object-based Feature Extraction were adopted into the LULC classification. A spatial analysis approach was applied to wetland mapping based on available wetland inventories and soil data. Python scripts were created and used to automate these processes for each of the 30 reference sites across Minnesota and Wisconsin of the United States, which encompassed the entire study site. Results demonstrated that the proposed method allowed for the integration of geospatial data of varying sources and qualities to produce accurate LULC and wetland maps effectively. The results of accuracy assessment indicated that the classification maps for Minnesota and Wisconsin were of comparable quality. The objectbased classifier extracted LULC effectively from the Wisconsin imagery with acceptable accuracy despite lacking of the NIR spectral band. These maps were used as inputs to create a hydro geomorphicap-proach (HGM) guidebook (Hauer and Smith 1998) for both states (Cook et al. unpublished). The Python-based technique was found to be especially beneficial when dealing with big datasets over large study areas, as it allowed batch processing.","PeriodicalId":219241,"journal":{"name":"International Journal of Remote Sensing Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115973261","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}

{"title":"Coastal Zone Mapping through Geospatial Technology for Resource Management of Indian Sundarban, West Bengal, India","authors":"I. Mondal, J. Bandyopadhyay","doi":"10.14355/IJRSA.2014.0402.04","DOIUrl":"https://doi.org/10.14355/IJRSA.2014.0402.04","url":null,"abstract":"The West Bengal part of the Ganges-Brahmaputra delta, popularly known as the Sundarban delta, is a system where intricate estuarine and coastal processes are influenced by adjacent marine, terrestrial and meteorological systems and the dynamic interface amongst the three. Being the center of population growth, coastal sea, ponds/wetlands, estuarine islands in this area are to sustain the negative impact caused by society’s commercial, recreational, and residential activities. Additionally, natural forcing like sea level rise or climate change is a prime issue of concern for this vulnerable tract. Presently, this deltaic system is facing degradation due to natural and anthropogenic causes. Degradation of this littoral tract is manifested in terms of frequent embankment failures, submergence & flooding, beach erosion, siltation within embankment, saline water intrusion in the agricultural field etc. In the above perspective, viable coastal zone management options are to be adopted based on scientific approach retaining socio-economic use of the coastal zone complying with preservation of resources and nature values. Knowledge and understanding of coastal morph dynamic behavior as well as middle to long-term developments therein is essential in this respect. Lack of data pertaining to this coast makes the task all the more difficult than expected and restricts proper estimation of impacts to be caused by the different coastal variables. The present study is aimed at predicting evolution of Sundarbans estuary located at the mouth of Bay of Bengal by a set of physical mathematical model through extrapolation of observed morphological behavior of erosion-accretion. The long term goal of this study is to identify the coupling amongst the coastal processes and mainly two dimensional evolutions (shoreline change) of the form of deltaic island system of West Bengal with special reference to sea level rise which in turn is guided by climate change. This study is carried out so that a greater degree of certainty can be achieved while applying the output as a blue print for the coastal managers and planners for this vulnerable niche. The coastal zone is under heavy pressure from land-based activities located in the catchment of rivers. Traditionally, both scientific research and framework have treated catchments and coasts as separate entities. However, it is increasingly recognized that they should in fact be treated as an integrated whole, encompassing both environmental and socio economic and political systems.","PeriodicalId":219241,"journal":{"name":"International Journal of Remote Sensing Applications","volume":"16 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114033835","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}

{"title":"A Novel and Compact Ku-band Sensor for Polarimetric SAR Systems Placed in UAVs: Development and System Performances","authors":"S. Sánchez-Sevilleja, Á. Arenas‐Pingarrón, J. D. Castillo-Mena, J. R. Larrañaga-Sudupe","doi":"10.14355/IJRSA.2014.0402.02","DOIUrl":"https://doi.org/10.14355/IJRSA.2014.0402.02","url":null,"abstract":"A new compact Ku band patch array antenna with dual linear polarization and excellet isolation values have been designed, implemented and measured. The antenna is placed in a new no-tripulated UAV platform. This platform is smaller than the last one used by INTA in which others no-compact prototypes were placed in. A lot of advantages have been achieved with this smaller and compact new system.","PeriodicalId":219241,"journal":{"name":"International Journal of Remote Sensing Applications","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125411810","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}

{"title":"Monitoring Water Pollution of Lake Maryout on the Mediterranean Coast of Egypt","authors":"Samah Ahmed, M. Kaiser","doi":"10.14355/IJRSA.2014.0401.03","DOIUrl":"https://doi.org/10.14355/IJRSA.2014.0401.03","url":null,"abstract":"The present study assessed serious eutrophication and pollution levels in Lake Mayout, Egypt. Chlorophyll spatial distribution and corresponding water surface temperatures in polluted water were extracted from 1986-2012 satellite images. Results showed a significant positive correlation coefficient (R2 = 0.99) between thermal water and chlorophyll abundance. Five classes were differentiated, including cultivated land, algal blooms, urban areas, and sea water from the two dimensional scatterplot between chlorophyll abundance and surface temperatures. Markedly high temperatures and very high NDVI values characterized cultivated land, while clean water exhibited low temperatures, and low NDVI. High surface temperatures and low NDVI were observed in planned urban areas. Finally, high surface temperatures and NDVI values characterized algal bloom polluted waters. Results showed surface areas exhibiting algal bloom were 29.2 km 2 and water surface temperatures were 22ᵒC in 1986, and respectively increased to 32.5 km2 and 24ᵒC in 2012.","PeriodicalId":219241,"journal":{"name":"International Journal of Remote Sensing Applications","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126014471","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}

{"title":"Application of Remote Sensing and Geographic Information Systems for Gold Potential Mapping in Birim North District of Eastern Region of Ghana -Gold Potential Mapping Using GIS and Remote Sensing","authors":"Clement Kwang, E. M. O. Jnr., A. Duker","doi":"10.14355/IJRSA.2014.0401.05","DOIUrl":"https://doi.org/10.14355/IJRSA.2014.0401.05","url":null,"abstract":"Remote Sensing and Geographic Information System (GIS) have played an active role in mineral exploration by helping in the identification or discovery of new gold deposits in most part of the world such as Spain, Nova Scotia (Canada) and Egypt. Different authors have used Remote Sensing and GIS in exploring minerals deposits. Birim North District of the Eastern Region of Ghana is one of the gold-mineralized districts but there is no gold potential map covering the whole district. This research work was aimed at producing a gold potential map covering the whole of Birim North District through the use of Remote Sensing and GIS technique. The Landsat Enhanced Thematic Mapper (ETM+) image of the Birim North was processed by applying the clay-mineral ratio (Band 5 to Band 7) and the principal component analysis. The result was further processed to obtain the alteration map of Birim North District which represented the altered rocks associated with goldmineralization. The Aeromagnetic image of the same area was enhanced by using the Edge Detection Directional Filter and later digitized manually on-screen to produce the lineament map of Birim North District. These results obtained from the Remote Sensing processes were integrated into GIS environment with other geospatial datasets such as the soil geochemical data and geophysical data. The Arcweight of evidence was used as the spatial data integration model in the prediction of the potential gold areas. A total of 250 known gold deposits was used, 180 were used as training samples and 70 were used for the validation. The results obtained from the research work indicated that the best predictors of the new gold deposits were the soil geochemical data, geophysical data and the lineament. The alteration was the least predictor. The gold potential map demarcates 158 km2 (i.e., 32%) of the total of 497 km2 as favourable for the occurences of the gold deposits within the study area. The gold potential map also has a success rate of 88% (i.e, the percentage of the training deposits or points in the predicted favourable gold deposits zones) and a prediction rate of 83% (i.e, the percentage of the validation deposits or points in the predicted favourable gold deposits areas). Many of the mining communities and Newmont Ghana Gold limited mine area were found in the areas associated with relative higher posterior probabilities.","PeriodicalId":219241,"journal":{"name":"International Journal of Remote Sensing Applications","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125288397","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}

{"title":"OIF Based Indeces Oriented Ecological Classification Using LANDSAT TM Digital Data – A Case Study on Beluchary and Dhulibasan Island Groups, Sunderban, West Bengal, India","authors":"R. Ray, A. Paul, B. Basu","doi":"10.14355/IJRSA.2014.0401.06","DOIUrl":"https://doi.org/10.14355/IJRSA.2014.0401.06","url":null,"abstract":"The classification of vegetation from remotely sensed data has long attracted the attention of remote sensing community as the results are fundamental sources for many environmental applications. There are different approaches and techniquesto improve the classification accuracy. However, different uncertainty or errors may be introduced into classification due to many factors like complexity in the landscapes under investigation, selected remotely sensed data, image processing approaches, the availability of reference data etc. So much efforts should be devoted to identify these major factors in the image classification processes and then to improve them. In the present study, different vegetation indices (VIs) have been adopted for the betterment of vegetation classification accuracy. The analysis of correlation and standard deviation of each VI was used to identify the best combination for the separability analysis. The selection of the best combination was done using Optimum Index Factor technique based on the total variance within bands and correlation coefficient between bands. The OIF technique was applied to all the calculated seven VIs. A number of twenty one colour combinations were produced and analyzed using OIF. The combination having the highest OIF value has been selected for the classification in which a distinct spectral dissimilarity has been observed, which is very helpful for information extraction. Finally overcoming the spectral self similarity, after classification five ecological classes has been got from the Beluchari and Dhulibasan islands. Finally the technique of OIF has been successful in conclusively deriving the five ecological classes in Beluchari and Dhulibasan Islands by overcoming the spectral self similarly.","PeriodicalId":219241,"journal":{"name":"International Journal of Remote Sensing Applications","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126746167","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}

{"title":"Spectral Unmixing Evaluation for Oil Spill Characterization","authors":"V. Karathanassi","doi":"10.14355/IJRSA.2014.0401.01","DOIUrl":"https://doi.org/10.14355/IJRSA.2014.0401.01","url":null,"abstract":"Hyperspectral remote sensing exploits the optical properties of materials and provides detailed information about them. From a theoretical point of view, in case of oil spills, it cannot only detect and delineate them, but also provide information about the oil type and oil thickness, significantly contributing at the remediation stage of clean-up. In practice, many factors, either associated with the inherent characteristics of oil spills (oil type, quantity, weathering stage, etc.), or with environmental factors (sea bottom cover and depth, waves, etc.) affect the spectral signature of the oil, set constraints on the effectiveness of hyperspectral methods. In this study, the key factors that enable an airborne hyperspectral campaign to implement effective surveys for oil spill detection and characterization are investigated. Additionally, the study focuses on the assessment of environmental and slick parameters for which spectral unmixing-based methods successfully address the problem of oil spill detection and oil type and thickness estimation. For this purpose, study of the spectral behavior of the oil through laboratory measurements and measurements in the complex marine environment was a prerequisite and has initially been carried out. The results showed that almost all the measured spectral signatures as well as their variations can be extracted as endmembers from synthetic images using the unmixing theory. Consequently, laboratory spectral libraries could enable the labeling procedure during the spectral unmixing application on hyperspectral imagery. Unfortunately, oil spectral measurements implemented in marine environment were significantly different because they were affected either by sea bottom contributions (case of light oil and petroleum products) or by sea state conditions which cause high dispersion of oil and spatial variation in oil spill thickness (case of heavy oil and petroleum products). When airborne hyperspectral imagery is processed, it has been found that transparent clouds significantly affect the efficiency of unmixing methods for thin oil spill detection. Their removal, as well as atmospheric correction is strongly recommended. Applying spectral unmixing-based methods on hyperspectral imagery, oil spill detection is effective even in the marginal case of sheens. The results showed that all types and thicknesses of oils can be detected independently of seawater depth through the differences that their spectral signatures present in the wavelengths between 720 μm and 1000 μm. For oil sheens, a single endmember is usually extracted, which leads to relative thickness estimation. For thicker oil spills, many endmembers are extracted each one corresponding to a different thickness and/or emulsion. Further research based on an extended spectral library of measurements in marine environment should be performed in order to enable spectral unmixing-based methods to accurately estimate the oil type, the oil to water ratio of a","PeriodicalId":219241,"journal":{"name":"International Journal of Remote Sensing Applications","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134045503","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}

{"title":"Spatial and Multi-Temporal Change Analysis of the Niger Delta Coastline Using Remote Sensing and Geographic Information System (GIS)","authors":"C. D. Obowu, T. Abam","doi":"10.14355/IJRSA.2014.0401.04","DOIUrl":"https://doi.org/10.14355/IJRSA.2014.0401.04","url":null,"abstract":"The Niger Delta is one of the most dynamic deltas in the world. It is experiencing relatively strong environmental changes resulting from the complex interaction of natural and human-induced processes that operate upon it. The research focuses on the Niger Delta coastline change detection and vulnerability assessment to coastline changes using remote sensing and geographical information system. The change detection involves, processing of multi-temporal images (1972-2008), followed by image differencing, post classification image overlaying, image fusion, image visual interpretation and on-screen digitising. The result shows that the image differencing and post-classification image overlaying change detection techniques are useful to monitor coastline change. The image visual interpretation and on-screen digitising is the main quantitative method to detect the Niger Delta coastline change. The coast line was analyzed in sections starting and terminating a major river mouths. Quantitative measurement and analysis showed that for most of the coast line sections there have been period of erosion and accretion over the 36 year study period. Only very few sections show consistent erosion or accretion over the years. The natural fluvial and marine factors and also human activities played an important role on this development..","PeriodicalId":219241,"journal":{"name":"International Journal of Remote Sensing Applications","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134369903","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}

{"title":"Remote Sensing and Unmanned Aerial System Technology for Monitoring and Quantifying Forest Fire Impacts","authors":"M. Wing, Jonathan D. Burnett, J. Sessions","doi":"10.14355/IJRSA.2014.0401.02","DOIUrl":"https://doi.org/10.14355/IJRSA.2014.0401.02","url":null,"abstract":"Fire is a regular occurrence throughout the world’s forested landscapes and affects millions of hectares annually. A variety of remote sensing applications have been developed to quantify wildfire impacts in forests with varying success. Remote sensing technology applications for wildfires have typically involved quantifying burn severity, fuel levels, and forest resource recovery following burn. Wildfire remote sensing applications have recently included active or realtime technology applications for mapping burn impacts and wildfire detection and monitoring. A review of traditional remote sensing applications are presented in this paper to quantify fire impacts, tracking vegetation recovery, establishing fuel conditions, and fire detection and monitoring in forested landscapes; then recent examples of active and real-time remote sensing techniques were examined to monitor fire ignition and behavior, followed by an assessment of potential future applications. The application of unmanned aerial systems (UAS’s) with both spectral and thermal sensors may hold great promise for future remote sensing applications related to forest fires.","PeriodicalId":219241,"journal":{"name":"International Journal of Remote Sensing Applications","volume":"195 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122447136","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}

{"title":"Cellular Automata vs. Object-Automata in Traffic Simulation","authors":"S. Behzadi, A. Alesheikh","doi":"10.14355/IJRSA.2014.0401.07","DOIUrl":"https://doi.org/10.14355/IJRSA.2014.0401.07","url":null,"abstract":"Cellular Automata (CA) recently has been used in variety of fields related to continuous areas such as Geospatial Information System (GIS), traffic, air pollution, and so on. Having been used only in continuous raster-based area is the most weakness of CA, so defining the shape of the cellular and their adjacency for the study area is always a big challenge for researchers. Despite CA, agent-based modeling is complex and progressive type of intelligent object. Agentbased model is used in variety fields. Having efficiency such as moving makes it extremely distinctive from the concept of static intelligent entity. In this paper, at first, an intermediate type of object named Object-Automata (OA) was defined based on the simplicity of CA and complexity of agent which is suitable for both continues and discontinues area. Secondly, to asses and investigate the proposed OA, the simulation of traffic was implemented by OA and the model was compared with CA. As roads are defined as discrete entities, OA is much more suitable for such problem. At the end of this paper, the rules about the problem were","PeriodicalId":219241,"journal":{"name":"International Journal of Remote Sensing Applications","volume":"330 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124656335","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}