Pub Date : 2018-03-29DOI: 10.4172/2469-4134.1000234
Neelam Rawat, Rohini Gabriyal, K. Kandpal, S. Purohit, D. Pant
The spatiotemporal remotely sensed data are extremely valuable for detecting changes in vegetation cover, land use/cover classes, snow, water bodies and other terrestrial features. Mapping of tree line, vegetation line, Snow line and its shift analyses can help in better knowing the trend of climate change scenarios. The present paper deals with a change analysis pattern in tree line, alpine pastures and snow line for a period of 1972 to 2016. The study was carried out in two block i.e., Munsiyari and Dharchula of Pithoragarh district of Uttarakhand Himalaya using Landsat data of the listed years. The study showed that the from 1972 to 2016 there is mean increase in tree, grassland/pastures and snow line. The mean upward shift of the tree line was highest in Munsyari block (4504 m) and Dharcula block lowest (2856 m). Magnitude of upward shift in terms of elevation range showed that at many places in the Munsyari Block, the upward shift of the tree line crossed 419 m, during 44 years interval. Grassland are found at an elevation of 1400-5754 m interval during 1972, 1523-5780 m interval during 1998 and 1742-6090 m interval during 2016. This included great expanses of pure meadows (grasslands), flowering herbs and scattered miscellaneous vegetation. The vegetation near the snow line and in the proximity of the glaciers was rather thin, scattered, apart from the mosses and lichens. The snowline during 1972 is an elevation of 2939 m, 2991 m for 1998 and 3132 m for 2016.
{"title":"Spatiotemporal Change Study for High Altitudes of Pithoragarh District Uttarakhand as an Indicator of Climate Change?Spatiotemporal Change Study for High Altitudes of Pithoragarh District Uttarakhand as an Indicator of Climate Change?","authors":"Neelam Rawat, Rohini Gabriyal, K. Kandpal, S. Purohit, D. Pant","doi":"10.4172/2469-4134.1000234","DOIUrl":"https://doi.org/10.4172/2469-4134.1000234","url":null,"abstract":"The spatiotemporal remotely sensed data are extremely valuable for detecting changes in vegetation cover, land use/cover classes, snow, water bodies and other terrestrial features. Mapping of tree line, vegetation line, Snow line and its shift analyses can help in better knowing the trend of climate change scenarios. \u0000The present paper deals with a change analysis pattern in tree line, alpine pastures and snow line for a period of 1972 to 2016. The study was carried out in two block i.e., Munsiyari and Dharchula of Pithoragarh district of Uttarakhand Himalaya using Landsat data of the listed years. The study showed that the from 1972 to 2016 there is mean increase in tree, grassland/pastures and snow line. The mean upward shift of the tree line was highest in Munsyari block (4504 m) and Dharcula block lowest (2856 m). Magnitude of upward shift in terms of elevation range showed that at many places in the Munsyari Block, the upward shift of the tree line crossed 419 m, during 44 years interval. Grassland are found at an elevation of 1400-5754 m interval during 1972, 1523-5780 m interval during 1998 and 1742-6090 m interval during 2016. This included great expanses of pure meadows (grasslands), flowering herbs and scattered miscellaneous vegetation. The vegetation near the snow line and in the proximity of the glaciers was rather thin, scattered, apart from the mosses and lichens. The snowline during 1972 is an elevation of 2939 m, 2991 m for 1998 and 3132 m for 2016.","PeriodicalId":427440,"journal":{"name":"Journal of Remote Sensing & GIS","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128023461","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 : 2018-03-26DOI: 10.4172/2469-4134.1000232
Y. T. Mollaei, A. Karamshahi, S. Y. Erfanifard
In Iran, forest inventory information has been essential with respect to land management because 10% of Iran is composed of forests. Therefore, accurate forest information such as tree counts, height, DBH, and volume are critical for forest management. While such data traditionally have required labor intensive and time consuming field measurement, new technologies such as remote sensing have supplemented and supplanted some of these field measurements. Although different types of sensors have been used to extract individual trees information, WorldView-2 (WV-2) has been used recently to extract surface information because WV-2 have high spatial and spectral resolution. In this study, object base classifiers (with KNN way) were used to classify WV-2 satellite and do assessment accuracy with UAV image in study sites. the study indicate that the classification accuracy of Objectbased algorithm was best for extraction of dry trees. This study is conducted to evaluate the possibility of WV-2 data to extract forest characteristics from identifying and measuring individual trees. Our results demonstrate that WV-2 data, NDVI with object-based classification can be used to detect tree mortality resulting from numerous causes and in several forest cover types.
{"title":"Detection of the Dry Trees Result of Oak Borer Beetle Attack Using Worldview-2 Satellite and UAV Imagery an Object-Oriented Approach","authors":"Y. T. Mollaei, A. Karamshahi, S. Y. Erfanifard","doi":"10.4172/2469-4134.1000232","DOIUrl":"https://doi.org/10.4172/2469-4134.1000232","url":null,"abstract":"In Iran, forest inventory information has been essential with respect to land management because 10% of Iran is composed of forests. Therefore, accurate forest information such as tree counts, height, DBH, and volume are critical for forest management. While such data traditionally have required labor intensive and time consuming field measurement, new technologies such as remote sensing have supplemented and supplanted some of these field measurements. Although different types of sensors have been used to extract individual trees information, WorldView-2 (WV-2) has been used recently to extract surface information because WV-2 have high spatial and spectral resolution. In this study, object base classifiers (with KNN way) were used to classify WV-2 satellite and do assessment accuracy with UAV image in study sites. the study indicate that the classification accuracy of Objectbased algorithm was best for extraction of dry trees. This study is conducted to evaluate the possibility of WV-2 data to extract forest characteristics from identifying and measuring individual trees. Our results demonstrate that WV-2 data, NDVI with object-based classification can be used to detect tree mortality resulting from numerous causes and in several forest cover types.","PeriodicalId":427440,"journal":{"name":"Journal of Remote Sensing & GIS","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116020779","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 : 2018-03-16DOI: 10.4172/2469-4134.1000231
T. Muraoka, Shunji Uchimura, H. Ikeda
Someone passed by a street in the vicinity of a highlight building broken down might have caught in an unexpected big accident on site, to have caused him seriously injured. However, in rare cases, it is possible for any human to avoid big accident by taking an action of avoiding accident, perceiving the serious fear status. Responding to such status, we tried to apply an experiment of simulation using a normal-sized, flat-panel high-definition image display. Incorporating virtual reality with high definition display, as well as generating big noise of iron angle poles crashed, letting a subject to see it with feeling of fear, instantaneously we measured subject’s reaction against the crushing scenes as well as big noise. Responding to the noise heard as well as big iron poles crashing seen, a resulting only 6% of subjects acknowledged valid response safely. Avoiding crisis of reaction in the subject’s behavior was taken from the virtual reality of experiment as some results. Seeing the fake big accidental scene on high definition image display was striking to the function of the subject’s brain sensor. This display system alarms on time the dangerous accident encountered to the subject for avoiding ultimate damages by viewing scenes if the display might be of high definition version.
{"title":"New Unexpected Use of Display Devices: Display Virtually Seeing on “Accidentally Happening Events of Construction Steel Directly Falling on Human-Head” Can be Sensed by Oneself?","authors":"T. Muraoka, Shunji Uchimura, H. Ikeda","doi":"10.4172/2469-4134.1000231","DOIUrl":"https://doi.org/10.4172/2469-4134.1000231","url":null,"abstract":"Someone passed by a street in the vicinity of a highlight building broken down might have caught in an unexpected big accident on site, to have caused him seriously injured. However, in rare cases, it is possible for any human to avoid big accident by taking an action of avoiding accident, perceiving the serious fear status. Responding to such status, we tried to apply an experiment of simulation using a normal-sized, flat-panel high-definition image display. Incorporating virtual reality with high definition display, as well as generating big noise of iron angle poles crashed, letting a subject to see it with feeling of fear, instantaneously we measured subject’s reaction against the crushing scenes as well as big noise. Responding to the noise heard as well as big iron poles crashing seen, a resulting only 6% of subjects acknowledged valid response safely. Avoiding crisis of reaction in the subject’s behavior was taken from the virtual reality of experiment as some results. Seeing the fake big accidental scene on high definition image display was striking to the function of the subject’s brain sensor. This display system alarms on time the dangerous accident encountered to the subject for avoiding ultimate damages by viewing scenes if the display might be of high definition version.","PeriodicalId":427440,"journal":{"name":"Journal of Remote Sensing & GIS","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129474589","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 : 2018-02-28DOI: 10.4172/2469-4134.1000230
Umair Ali, Syed Ahmad Ali, Javed Ikbal, M. Bashir, M. Fadhl, Mukeem Ahmad, Hamdi Al Dharab, Saleh M. Ali
Kashmir Basin is surrounded on all sides by lofty mountains, there is only one outlet i.e., Jhelum River to drain water from the basin. The mountainous areas of Kashmir Basin have rugged topography and unstable slopes with highly shuttered rocks. Based on these factors, the evaluation of basin characteristics from the morphometric analysis and other associated factors will help to understand the physical behaviour of the area with respect to floods and soil erosion risk. Remote sensing and GIS techniques were applied to extract drainage network using Digital Elevation Model (DEM) to evaluate morphometric parameters for Sukhnag catchment. Lineament, slope and aspect maps were generated to support morphometric parameters to demarcate the soil erosion and flood prone areas during harsh weather conditions. In low lying areas with more habitation and construction on the river banks and flood plains have squeezed the rivers and minimized their water carrying capacity. Morphometry together with lineament density, slope distribution and flood plain conditions helps to classify the catchment into three categories, high, medium and low priority for conservation and management with respect to soil erosion and floods. Among 14 sub-watersheds SF1, 2, 5, 6 and 7 are more prone to landslides and SF10, 12, 13 and 14 are more prone to flood and siltation hazard. More chances of erosion risk in SF1, 2, 5, 6 and 7 can be due to lose upper layer, high altitude, unstable slope and high structural density. Conversely, the floods and siltation hazard are more in low lying subwatersheds as faced in Kashmir Valley (Sept. 2014 Flood). The present work emphasized that categorization of smaller hydrological unit’s i.e., sub-watersheds are ideally recommended for initiating soil conservation and flood mitigation measures in the area.
{"title":"Soil Erosion Risk and Flood Behaviour Assessment of Sukhnag catchment, Kashmir Basin: Using GIS and Remote Sensing","authors":"Umair Ali, Syed Ahmad Ali, Javed Ikbal, M. Bashir, M. Fadhl, Mukeem Ahmad, Hamdi Al Dharab, Saleh M. Ali","doi":"10.4172/2469-4134.1000230","DOIUrl":"https://doi.org/10.4172/2469-4134.1000230","url":null,"abstract":"Kashmir Basin is surrounded on all sides by lofty mountains, there is only one outlet i.e., Jhelum River to drain water from the basin. The mountainous areas of Kashmir Basin have rugged topography and unstable slopes with highly shuttered rocks. Based on these factors, the evaluation of basin characteristics from the morphometric analysis and other associated factors will help to understand the physical behaviour of the area with respect to floods and soil erosion risk. Remote sensing and GIS techniques were applied to extract drainage network using Digital Elevation Model (DEM) to evaluate morphometric parameters for Sukhnag catchment. Lineament, slope and aspect maps were generated to support morphometric parameters to demarcate the soil erosion and flood prone areas during harsh weather conditions. In low lying areas with more habitation and construction on the river banks and flood plains have squeezed the rivers and minimized their water carrying capacity. Morphometry together with lineament density, slope distribution and flood plain conditions helps to classify the catchment into three categories, high, medium and low priority for conservation and management with respect to soil erosion and floods. Among 14 sub-watersheds SF1, 2, 5, 6 and 7 are more prone to landslides and SF10, 12, 13 and 14 are more prone to flood and siltation hazard. More chances of erosion risk in SF1, 2, 5, 6 and 7 can be due to lose upper layer, high altitude, unstable slope and high structural density. Conversely, the floods and siltation hazard are more in low lying subwatersheds as faced in Kashmir Valley (Sept. 2014 Flood). The present work emphasized that categorization of smaller hydrological unit’s i.e., sub-watersheds are ideally recommended for initiating soil conservation and flood mitigation measures in the area.","PeriodicalId":427440,"journal":{"name":"Journal of Remote Sensing & GIS","volume":"202 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129265893","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 : 2018-01-30DOI: 10.4172/2469-4134.1000226
Richard Ts, E. O. Iguisi, A. Odunze, D. Jeb
The study aims to estimation soil erosion risk in Mubi South watershed with the aid of RUSEL model and Geospatial techniques. RUSLE model parameters such as rainfall, soil map, topography map, cover management and conservation practice factor map were derived. The method employed includes the use of RUSLE model and Geospatial techniques using ArcGIS 10.3 Software, for analysis and presentation of result. It was found that sandy soil are the dominant soil of the watershed which covered about 65%, 18% silt and 17% clay. The land use landcover has about 29% of area covered by agricultural activities, 19% were covered by forest and 25% were not cultivated and covered by bare land. The study area has about 0.58 to -0.07 normalized difference vegetation index (NDVI) with majority of the area within the lower topography of 570 m above sea level. The Soil cover management factor ranges from the higher value of 0.5 to the lower value of 0.01 in the watershed, 15.8 mm to 15.7 mm occurrences of daily rainfall and 492.34 mm rainfall and runoff covered when rainfall per-day is greater than 15 mm rainfall. The results of the study also show that average rate of soil detachment is 1 t ha-1 yr-1. The average transport capacity of overland flow is 1.5 t ha-1 yr-1. Average soil per detachability by raindrop is 69.6 t ha-1 yr-1 total soil particle detachments is 69.66 t ha-1 yr-1 and average estimated soil erosion of 3.52 t ha-1 yr-1. It is recommended that other soil erosion model to be applied in the study area for further comparative analysis of soil erosion risk.
利用RUSEL模型和地理空间技术对木壁南流域的土壤侵蚀风险进行估算。RUSLE模型参数包括降雨、土壤图、地形图、覆盖管理和保护实践因子图。所采用的方法包括使用RUSLE模型和地理空间技术，使用ArcGIS 10.3软件进行分析和结果呈现。结果表明，该流域以沙质土为主，沙质土占65%，粉土占18%，粘土占17%。土地利用覆盖面积中，约29%为农业活动覆盖，19%为森林覆盖，25%为未开垦和裸地覆盖。研究区归一化植被指数(NDVI)约为0.58 ~ -0.07，大部分区域位于海拔570 m的低地形。流域土壤覆盖管理因子的变化范围为0.5 ~ 0.01，日降雨量为15.8 ~ 15.7 mm，日降雨量大于15 mm时，日降雨量为492.34 mm。研究结果还表明，土壤剥离的平均速率为1吨/年/年。坡面流的平均输送能力为1.5 t ha-1年-1。每雨滴的平均土壤分离量为69.6 t hm -1 -1，土壤颗粒分离量为69.66 t hm -1 -1，平均估算土壤侵蚀量为3.52 t hm -1 -1 -1。建议在研究区应用其他土壤侵蚀模型，进一步对土壤侵蚀风险进行对比分析。
{"title":"Estimation of Soil Erosion Risk in Mubi South Watershed, Adamawa State, Nigeria","authors":"Richard Ts, E. O. Iguisi, A. Odunze, D. Jeb","doi":"10.4172/2469-4134.1000226","DOIUrl":"https://doi.org/10.4172/2469-4134.1000226","url":null,"abstract":"The study aims to estimation soil erosion risk in Mubi South watershed with the aid of RUSEL model and Geospatial techniques. RUSLE model parameters such as rainfall, soil map, topography map, cover management and conservation practice factor map were derived. The method employed includes the use of RUSLE model and Geospatial techniques using ArcGIS 10.3 Software, for analysis and presentation of result. It was found that sandy soil are the dominant soil of the watershed which covered about 65%, 18% silt and 17% clay. The land use landcover has about 29% of area covered by agricultural activities, 19% were covered by forest and 25% were not cultivated and covered by bare land. The study area has about 0.58 to -0.07 normalized difference vegetation index (NDVI) with majority of the area within the lower topography of 570 m above sea level. The Soil cover management factor ranges from the higher value of 0.5 to the lower value of 0.01 in the watershed, 15.8 mm to 15.7 mm occurrences of daily rainfall and 492.34 mm rainfall and runoff covered when rainfall per-day is greater than 15 mm rainfall. The results of the study also show that average rate of soil detachment is 1 t ha-1 yr-1. The average transport capacity of overland flow is 1.5 t ha-1 yr-1. Average soil per detachability by raindrop is 69.6 t ha-1 yr-1 total soil particle detachments is 69.66 t ha-1 yr-1 and average estimated soil erosion of 3.52 t ha-1 yr-1. It is recommended that other soil erosion model to be applied in the study area for further comparative analysis of soil erosion risk.","PeriodicalId":427440,"journal":{"name":"Journal of Remote Sensing & GIS","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116316583","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 : 2018-01-30DOI: 10.4172/2469-4134.1000225
A. Virk, Amanpreet Singh, S. Mittal
MT-InSAR (Multi-temporal Interferometric Synthetic Aperture Radar) is a powerful remote sensing technique used to measure earth surface displacements and monitor their trend throughout the years over different times. It employs multiple time series of SAR images and extracts spatial height information over large scales of illuminated areas. It is a proficient technique to acquire all season day and night data with high accuracy and wide spatial coverage. Although conventional InSAR technique have vast successful applications but several limitations like decorrelation of phase, error in phase unwrapping and atmospheric artifacts hinders its use, which, in fact, have resulted in the development of more innovative multi-temporal InSAR (MTInSAR) techniques which has proved an enhancement in accuracy and consistency of extracted deformation time series. This paper provides a review of development of MTInSAR techniques, basic principles behind them, their strengths and limitations and a review of the applications of the advanced algorithms proposed in the literature and deformation measurement trends being followed. The paper accomplishes discussions on the main strengths, limitations, cross-comparison among approaches and the associated research trends.
{"title":"Advanced MT-InSAR Landslide Monitoring: Methods and Trends","authors":"A. Virk, Amanpreet Singh, S. Mittal","doi":"10.4172/2469-4134.1000225","DOIUrl":"https://doi.org/10.4172/2469-4134.1000225","url":null,"abstract":"MT-InSAR (Multi-temporal Interferometric Synthetic Aperture Radar) is a powerful remote sensing technique used to measure earth surface displacements and monitor their trend throughout the years over different times. It employs multiple time series of SAR images and extracts spatial height information over large scales of illuminated areas. It is a proficient technique to acquire all season day and night data with high accuracy and wide spatial coverage. Although conventional InSAR technique have vast successful applications but several limitations like decorrelation of phase, error in phase unwrapping and atmospheric artifacts hinders its use, which, in fact, have resulted in the development of more innovative multi-temporal InSAR (MTInSAR) techniques which has proved an enhancement in accuracy and consistency of extracted deformation time series. This paper provides a review of development of MTInSAR techniques, basic principles behind them, their strengths and limitations and a review of the applications of the advanced algorithms proposed in the literature and deformation measurement trends being followed. The paper accomplishes discussions on the main strengths, limitations, cross-comparison among approaches and the associated research trends.","PeriodicalId":427440,"journal":{"name":"Journal of Remote Sensing & GIS","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125414528","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 : 2018-01-30DOI: 10.4172/2469-4134.1000224
Emmanuel Oduro Amoako, Lin Sun
Flood disasters have become a menace affecting the socio-economic, environmental, health and safety of the people living within the offinso district of Ghana-Kumasi. Monitoring and mapping out flood prone areas, assessing the extent of coverage is thus not in existence and this has been a problem for the government and the entire emergency agencies. However, this literature uses remote sensing and GIS as an emerging tool within the African Region to address and improve the efficiency of flood monitoring, and mapping with reference to offinso District. A Landsat ETM+ Remote Sensing Data of 2015 acquired through the GLOVIS website at the time of flooding to make a flood risk map with the help of GIS analysis tools and a generated DEM which shows the topography and elevation of the district.
{"title":"Application of Remote Sensing Technique and Geographic Information Science for Flood Risk Mapping-A Case Study of the Offinso District, Kumasi-Ghana","authors":"Emmanuel Oduro Amoako, Lin Sun","doi":"10.4172/2469-4134.1000224","DOIUrl":"https://doi.org/10.4172/2469-4134.1000224","url":null,"abstract":"Flood disasters have become a menace affecting the socio-economic, environmental, health and safety of the people living within the offinso district of Ghana-Kumasi. Monitoring and mapping out flood prone areas, assessing the extent of coverage is thus not in existence and this has been a problem for the government and the entire emergency agencies. \u0000However, this literature uses remote sensing and GIS as an emerging tool within the African Region to address and improve the efficiency of flood monitoring, and mapping with reference to offinso District. \u0000A Landsat ETM+ Remote Sensing Data of 2015 acquired through the GLOVIS website at the time of flooding to make a flood risk map with the help of GIS analysis tools and a generated DEM which shows the topography and elevation of the district.","PeriodicalId":427440,"journal":{"name":"Journal of Remote Sensing & GIS","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132641481","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 : 2018-01-30DOI: 10.4172/2469-4134.1000227
T. Ramachandra, S. Bharath
Landscape dynamics driven by land use land cover (LULC) changes due to anthropogenic activities altering the functional ability of an ecosystem has influenced the ecology, biodiversity, hydrology and people’s sustainable livelihood. Forest landscape dynamics have been quantified using spatial data acquired through space borne sensors along with collateral data. Vegetation cover assessment of Central Western Ghats shows the decline of vegetation from 92.87% (1973) to 80.42% (2016). Land use analyses reveal the trend of deforestation, evident from the reduction of evergreen-semi evergreen forest cover from 67.73% (1973) to 29.5% (2016). The spatial patterns of diverse landscape have been assessed through spatial metrics and categorical principal component analysis, reveal a transition of intact forested landscape (1973) to fragmented landscape. The analysis has provided insights to formulate appropriate policies to mitigate forest changes in the region to safeguard water and food security apart from livelihood of the local people for sustainable development.
{"title":"Geoinformatics based Valuation of Forest Landscape Dynamics in Central Western Ghats, India","authors":"T. Ramachandra, S. Bharath","doi":"10.4172/2469-4134.1000227","DOIUrl":"https://doi.org/10.4172/2469-4134.1000227","url":null,"abstract":"Landscape dynamics driven by land use land cover (LULC) changes due to anthropogenic activities altering the functional ability of an ecosystem has influenced the ecology, biodiversity, hydrology and people’s sustainable livelihood. Forest landscape dynamics have been quantified using spatial data acquired through space borne sensors along with collateral data. Vegetation cover assessment of Central Western Ghats shows the decline of vegetation from 92.87% (1973) to 80.42% (2016). Land use analyses reveal the trend of deforestation, evident from the reduction of evergreen-semi evergreen forest cover from 67.73% (1973) to 29.5% (2016). The spatial patterns of diverse landscape have been assessed through spatial metrics and categorical principal component analysis, reveal a transition of intact forested landscape (1973) to fragmented landscape. The analysis has provided insights to formulate appropriate policies to mitigate forest changes in the region to safeguard water and food security apart from livelihood of the local people for sustainable development.","PeriodicalId":427440,"journal":{"name":"Journal of Remote Sensing & GIS","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120822078","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 : 2018-01-05DOI: 10.4172/2469-4134.1000222
N. Goldshleger, U. Basson, I. Azaria, S. Fastig
In the Dead Sea region of Israel, sinkholes collapse can be observed easily due to the large number of sites. The continuous decrease in Dead Sea level over the last 30 years, caused a substantial increases the sinkhole activity (more than 3,000 sinkholes upper layer collapse). Sinkholes of up to 50 m diameter are found to be clustered in sites with variable characteristics. In this research, we have developed methods for prediction of sinkholes appearance by using mapping and monitoring methods based on active and passive remote-sensing means. These methods are based on measurements from several instruments including field spectrometry, geophysical ground-penetration radar (GPR) and a frequency domain electromagnetic (FDEM) instrument. Field spectrometry was used to compare the spectral signatures of soil samples collected near progressing sinkholes and those taken in regions with no visible occurrence of sinkholes. Active remote sensing showed higher electrical conductivity and soil moisture in the former regions. Measurements were taken at different time points to monitor the progress of an "embryonic" sinkhole. The research steps included (i) review of previous published literature, (ii) mapping of regions with an abundance of sinkholes in various stages, and areas that are vulnerable to them, (iii) data analysis and development of warning indicators, accessible information to the scientific community. The result derived from this research indicates the possibility to build a pre-warning tool to detect the formation of sinkholes.
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Chilika lake is the largest lagoon in Asia on the east coast peninsular India covering about hundred thousand hectares of land, one among six Indian wetlands declared under the Ramsar convention in 1982. Lake shrinkage is another important ecological transformation. This may be due to several factors, both natural and human. The study area is Chilika Lake which is located at 19°27’58.081”N–19°53’24.438”N latitude and 85°6’5.301”E–85°40’36.149”E longitude on the east-coast of the state of Odisha, India. The objective is to prepare a database of the pre and post monsoon period water spread area of the lake from time series satellite imageries. The geospatial technique has emerged as the most important tool of a geographer to handle the spatio-temporal data. It is now widely used around the world to analyse physical as well as cultural geographical elements. The output will be utilized in several regional and micro level planning, monitoring and management for community development. Keywords: Ecosystem, spatio-temporal, sustainability, time series Cite this Article Jajnaseni Rout, Pattnaik AK, Sasmita Lenka et al . Water Spread Area Dynamic of Chilika Lake: A Geospatial Approach. Journal of Remote Sensing & GIS. 2017; 8(3): 17–21p.
{"title":"Water Spread Area Dynamic of Chilika Lake: A Geospatial Approach","authors":"Jajnaseni Rout, A. Pattnaik, S. Lenka, A. Ojha","doi":"10.37591/.v8i3.38","DOIUrl":"https://doi.org/10.37591/.v8i3.38","url":null,"abstract":"Chilika lake is the largest lagoon in Asia on the east coast peninsular India covering about hundred thousand hectares of land, one among six Indian wetlands declared under the Ramsar convention in 1982. Lake shrinkage is another important ecological transformation. This may be due to several factors, both natural and human. The study area is Chilika Lake which is located at 19°27’58.081”N–19°53’24.438”N latitude and 85°6’5.301”E–85°40’36.149”E longitude on the east-coast of the state of Odisha, India. The objective is to prepare a database of the pre and post monsoon period water spread area of the lake from time series satellite imageries. The geospatial technique has emerged as the most important tool of a geographer to handle the spatio-temporal data. It is now widely used around the world to analyse physical as well as cultural geographical elements. The output will be utilized in several regional and micro level planning, monitoring and management for community development. Keywords: Ecosystem, spatio-temporal, sustainability, time series Cite this Article Jajnaseni Rout, Pattnaik AK, Sasmita Lenka et al . Water Spread Area Dynamic of Chilika Lake: A Geospatial Approach. Journal of Remote Sensing & GIS. 2017; 8(3): 17–21p.","PeriodicalId":427440,"journal":{"name":"Journal of Remote Sensing & GIS","volume":"455 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125793887","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}
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