Journal of Remote Sensing & GIS最新文献_第3页

Spatiotemporal Analysis of Waterbodies in Ranchi District, Jharkhand using Satellite Data: An Input for Jal Shakti Abhiyan 基于卫星数据的贾坎德邦Ranchi地区水体时空分析:Jal Shakti Abhiyan的输入

Journal of Remote Sensing & GIS Pub Date : 2020-06-19 DOI: 10.37591/.V11I1.792

N. Sharma, N. J. Kullu, Kumari Anshula

{"title":"Spatiotemporal Analysis of Waterbodies in Ranchi District, Jharkhand using Satellite Data: An Input for Jal Shakti Abhiyan","authors":"N. Sharma, N. J. Kullu, Kumari Anshula","doi":"10.37591/.V11I1.792","DOIUrl":"https://doi.org/10.37591/.V11I1.792","url":null,"abstract":"Keeping in the view of water conservation the Government of India has initiated the Jal Shakti Abhiyan, which needs the inventory of waterbodies for further planning and monitoring. Lakes and Ponds in year 2005 and year 2018 were mapped in Ranchi district at 1:5000 scale using high resolution satellite data and reservoirs at 1:50,000 scale using moderate resolution satellite data. Seasonal fluctuation in water extent of reservoirs was estimated using Pre- monsoon and post-monsoon satellite data. Total number of lakes and ponds mapped in Ranchi district in year 2005 and year 2018 were 2170 and 2556, respectively. Total area under lakes and ponds was 1425 ha and 1618 ha, respectively in year 2005 and year 2018, which was 0.29% and 0.32% of total geographical area of Ranchi district. A total of 19 and 20 reservoirs mapped in Ranchi district in year 2006-07 and year 2018-19, respectively. Area recorded under reservoir category in Ranchi district was 2854 ha and 2829 ha in pre-monsoon season in the year 2007 and 2019, respectively. In Post-monsoon season the area occupied by reservoirs was 3428 ha and 3352 ha in Year 2007 and 2018, respectively. It has been suggested to undertake large scale mapping of lakes and ponds at 1:500/1000 scale using seasonal satellite data for preparation of inventory and estimation of pre and post-monsoon variation in number and area of lakes and ponds. Maps and statistics generated in present study are useful for planning, monitoring and management of waterbodies in present scenario of urbanization, environmental degradation and climate change. Keywords: High resolution data, urbanization, pre-monsoon, post-monsoon, lakes and ponds","PeriodicalId":427440,"journal":{"name":"Journal of Remote Sensing & GIS","volume":"52 1-2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126942003","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

Erosion and Sediment Yield Modeling with USLE, Arc GIS and SWAT 基于USLE、Arc GIS和SWAT的侵蚀产沙模型

Journal of Remote Sensing & GIS Pub Date : 2020-06-19 DOI: 10.37591/.V11I1.812

Nagesh Madhukar Kukade

{"title":"Erosion and Sediment Yield Modeling with USLE, Arc GIS and SWAT","authors":"Nagesh Madhukar Kukade","doi":"10.37591/.V11I1.812","DOIUrl":"https://doi.org/10.37591/.V11I1.812","url":null,"abstract":"The economy of most of the people in India is mainly based on rain fed agriculture. The agriculture yield primarily depends on the availability of good productive soil and sufficient quantity of availability of water. In the past, in many areas both were available but recently it is observed that due to various abnormal natural processes and excessive human interference in the natural processes, the soil layer with nutrient from fertile land is getting eroded, which resulted into reduced fertility and reduced crop yield. The soil loss from the catchment directly and indirectly affects the living standard resulting into various social problems. In order to take the preventive and curative measures against this soil erosion, it is necessary to estimate the quantity of the soil eroded and the major causes for the erosion. The soil erosion for the study area is estimated with a good degree of accuracy by integrating Geographical Information System technique and Universal Soil Loss Equation (USLE) with supportive Soil and Water Assessment Tool. In USLE model the soil loss is estimated using the parameters like rainfall erosivity (R), soil erodibility (K), slope length-steepness (LS), cover management (C) and conservation practice factor (P). The average annual soil loss estimated for the study area by QSWAT technique is 72.42 ton ha-1 year-1and using arc GIS soil loss estimated is 67.87 ton ha-1 year-1. The spatial distribution of USLE parameter indicates mild and moderate risk due to soil erosion in the study area. Keywords: USLE, arc GIS 10.2.2, QSWAT, Erosion, Thematic","PeriodicalId":427440,"journal":{"name":"Journal of Remote Sensing & GIS","volume":"175 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115050735","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

Quantification of Sub-Watershed Wise Surface Runoff Using Remote Sensing, GIS and Soil Conservation Services – Curve Number Method, Karur District, Tamil Nadu, India 基于遥感、GIS和土壤保持服务的次流域地表径流量化——曲线数法，印度泰米尔纳德邦卡鲁区

Journal of Remote Sensing & GIS Pub Date : 2020-06-19 DOI: 10.37591/.V11I1.781

J. Muralitharan, K. Palanivel

引用次数: 0

Potential Site Suitability Analysis for Wind Farm Development Using GIS and Multi-Criteria Analysis 基于GIS和多准则分析的风电场开发潜在选址适宜性分析

Journal of Remote Sensing & GIS Pub Date : 2020-06-19 DOI: 10.37591/.V11I1.780

Fessehaye Gebremeskel Abera, Vanum Govindu, Yechale Kebede Bizuneh

{"title":"Potential Site Suitability Analysis for Wind Farm Development Using GIS and Multi-Criteria Analysis","authors":"Fessehaye Gebremeskel Abera, Vanum Govindu, Yechale Kebede Bizuneh","doi":"10.37591/.V11I1.780","DOIUrl":"https://doi.org/10.37591/.V11I1.780","url":null,"abstract":"The energy consumption of most developing countries like Ethiopia highly depends on biomass and imported fuels. These sources of energy have imposed severe impacts on the environment.Recently, Ethiopia has begun to harness electricity from renewable energies mainly from hydro- dams to meet its energy need. However, the existing energy production of the hydro-dams declines during dry season due to shortage of river waters. So, it is important to look for other renewable energy sources like wind to compliment the energy decline. This study presents an identification of suitable site for wind farm development in selected districts of Tigray Region. Ten major biophysical, environmental and socio-political factors were identified that influence the wind farm development. These major factors were delineated from the different spatial datasets which were collected from various sources. ArcGIS 10.3 and ERDAS 9.2 software were used to prepare factor maps for all variables. The pair wise comparison associated with Analytical Hierarchy Process was used to weigh the factors then weighted overlay model was applied. The findings of the overlay showed that there are sufficient lands suitable for grid- based and off-grid wind farms development in the study area. About 140.5 km2 i.e. 6.5% is highly suitable and about 1103.1 km2 which means 51.0% is moderately suitable for wind farm development. A land of area 25 km2 entirely laid under highly suitable category was identified for wind farm design. The site has excellent wind speed and is located entirely in close proximity to the main roads and grid transmission lines. Keywords: Wind farm, GIS, multi-criteria analysis, renewable energies, AHP, Ethiopia","PeriodicalId":427440,"journal":{"name":"Journal of Remote Sensing & GIS","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130198822","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

Estimation of Various Geomorphometric Aspects of Kandra River Basin of Panhala Tehsil, Kolhapur District (M.S.) 科尔哈布尔邦哈拉特希尔坎德拉河流域各地貌特征的估算

Journal of Remote Sensing & GIS Pub Date : 2020-06-19 DOI: 10.37591/.v11i1.818

J. V. Khanapurkar

{"title":"Estimation of Various Geomorphometric Aspects of Kandra River Basin of Panhala Tehsil, Kolhapur District (M.S.)","authors":"J. V. Khanapurkar","doi":"10.37591/.v11i1.818","DOIUrl":"https://doi.org/10.37591/.v11i1.818","url":null,"abstract":"The term morphometry senses the measurement and analysis of form and its properties. In context of geomorphology, which is science of land forms, it is concerned with the various geometrical aspects of the landforms. It is inevitable in the study of fluvial geomorphology. Morphometric analysis particularly deals with quantitative measurements of different aspects like linear, aerial and relief, for instance stream order, stream length, drainage density, drainage frequency, bifurcation ratio, constant channel maintenance etc. Kandra River one of the major tributaries of Warana River flows on southern part of Deccan Trap of Maharashtra and occupies an area of about 148sq. km. The stream orders of this basin range from first order to fifth order. The dendritic drainage pattern indicates the homogeneity in texture and lack of structural control on the rocks of the area. The average drainage density of the river is 2.12; however it varies within the basin which detects the minor changes in the terrain configuration and gradient intensity and its aspects. Drainage frequency is also dynamic however, the average drainage frequency is 2.02 which is an outcome of the undulating and rugged terrain supported by the constant of channel maintenance of basin that is 0.47 km2/km. Keywords: Stream orders, Dendritic drainage pattern, Drainage density, Drainage frequency.","PeriodicalId":427440,"journal":{"name":"Journal of Remote Sensing & GIS","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124376721","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

WATER QUALITY ASSESSMENTS USING REMOTE SENSING IMAGES AND ANALOG SENSORS 利用遥感图像和模拟传感器进行水质评估

Journal of Remote Sensing & GIS Pub Date : 2020-06-12 DOI: 10.46610/jorsgt.2020.v06i02.001

M N Sumaiy, V. Sneha, V. Tejaswini, L. Vani, J. L. Vidya

引用次数: 0

Analysis of Sedimentation Deposition in Morbe Reservoir by Using RS and GIS 基于RS和GIS的Morbe水库沉积分析

Journal of Remote Sensing & GIS Pub Date : 2020-04-11 DOI: 10.37591/.v11i1.813

Tanvi Nijampurkar, R. Narwade, K. Nagarajan

{"title":"Analysis of Sedimentation Deposition in Morbe Reservoir by Using RS and GIS","authors":"Tanvi Nijampurkar, R. Narwade, K. Nagarajan","doi":"10.37591/.v11i1.813","DOIUrl":"https://doi.org/10.37591/.v11i1.813","url":null,"abstract":"The reduce in the storage volume due to sediment deposits in the reservoir at different level over a period of time can be related with the decrease in water diffusion zone at different elevation. This study shows the use of RS and GIS to estimate reservoir sediment deposits. The 2007 regional capacity curve (water storage) is now used due to the fact basis for the 2017-18 sediment assessment. This will help us assess the precipitation in the long run. The digital processing was performed using Arc-GIS software. NDWI (normalized difference water index) is used to describe the features of water and progress the existence of water pixels in the Landsat-8 satellite images of the Morbe dam. The water diffusion zone of the water storage basin on the specific height of the day of the satellite passes which help to form an elevation capacity curve. The linear interpolation/ extrapolation method is used to evaluation of the water diffusion zone of the Morbe dam on the different heights in 2007. The different elevations are taken to estimate the storage capacity in live zone of the water basin between the contour lines form by the water body with the help of Prizmoidal formula. After that revised reservoir capacity is differentiated with the capacity at the begin in 2007 to achieve capacity loss from 2007 to 2018 (i.e. 11 years). The loss in capacity of the reservoir is the sediment deposited at that elevation. As a result, the show the capacity of live storage zone is reduced from 190.89 Mm3 to 186.251 Mm3, indicating a total capacity loss 4.6390 Mm3.The loss of capacity 2.4302% in 11 years. If the sedimentation occurs linearly then the rate of sedimentation is estimated to be 0.4217 Mm3 year-1. Keywords: Arc-GIS, Prizmoidal Formula, Sedimentation, RS and GIS, Normalized Difference Water Index (NDWI).","PeriodicalId":427440,"journal":{"name":"Journal of Remote Sensing & GIS","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133002807","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

Estimation of Crop Coefficients in the Moghan Cultivation Industry and the Study of Relationship between Evapotranspiration and Yield Performance 莫氏栽培产业作物系数估算及蒸散量与产量关系研究

Journal of Remote Sensing & GIS Pub Date : 2020-01-21 DOI: 10.52547/GISJ.11.4.11

A. Moradi, H. Babaei, A. Alimohammadi, Soheil Radiom

引用次数: 1

Estimation of Land Surface Temperature using Landsat Data: a Case Study of Agra City, India 利用Landsat数据估算地表温度:以印度阿格拉市为例

Journal of Remote Sensing & GIS Pub Date : 2019-12-06 DOI: 10.37591/.V10I3.793

Kamal S. Bisht

{"title":"Estimation of Land Surface Temperature using Landsat Data: a Case Study of Agra City, India","authors":"Kamal S. Bisht","doi":"10.37591/.V10I3.793","DOIUrl":"https://doi.org/10.37591/.V10I3.793","url":null,"abstract":"Land surface temperature (LST) is an important indicator for the study of climate change, urban environment, heat balance studies, hydrological and agricultural process, and urban land use and land cover as well as user input for climate models. Landsat data is utilized for the number of applications such as environment study, digester and resource management. Land surface temperate is estimated by the help of ArcGIS through Landsat 8 and 5 satellites images. The normalized difference vegetation index (NDVI) thresholds method was used for land surface emissivity (LSE) estimation; NDVI is calculated by near infrared (NIR) and red spectral bands in its formula. NDVI = (NIR-RED)/(NIR-RED). The thermal infrared band is the source of LSE in this study area. The aim of this study is to calculate the LST and NDVI of Agra city, India, and to accomplish this task, ArcGIS Raster calculator is utilized. The empirical determine value of NDVI, LSE, and LST with appropriate accuracy help to achieve the aim of this study. In the last drive out the temperature variance in different land use and land cover area of Agra city, India. Keywords: ArcGIS, Landsat satellite images, land surface emissivity, land surface temperature, normalized difference vegetation index, raster calculator, Landsat 8","PeriodicalId":427440,"journal":{"name":"Journal of Remote Sensing & GIS","volume":"30 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116405857","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: 3

Landuse/Landcover Classification in parts of the Sathyavedu Area, Chittoor District (Andhra Pradesh), India by using Remote sensing and GIS Techniques 基于遥感和GIS技术的印度Chittoor区Sathyavedu地区部分土地利用/覆被分类

Journal of Remote Sensing & GIS Pub Date : 2019-12-05 DOI: 10.37591/.V10I3.693

V. Golla, M. Rajasekhar, E. Balaji, P. Harish

引用次数: 0