地理信息系统(英文)最新文献_第6页

Diurnal Cycle of Heating and Water Vapor in the Metropolitan Area of Porto in Portugal 葡萄牙波尔图大都市区的日热循环和水汽

地理信息系统(英文) Pub Date : 2022-01-01 DOI: 10.4236/jgis.2022.141004

H. Karam, J. S. Gonçalves, A. P. Filho

引用次数: 0

Spatial Characteristics Analysis of Urban Expansion in Luoyang, China 洛阳城市扩张空间特征分析

地理信息系统(英文) Pub Date : 2022-01-01 DOI: 10.4236/jgis.2022.142009

Hong-ling Meng, Kai-guang Zhang, Ming-ting Ba, Danhua Wen

{"title":"Spatial Characteristics Analysis of Urban Expansion in Luoyang, China","authors":"Hong-ling Meng, Kai-guang Zhang, Ming-ting Ba, Danhua Wen","doi":"10.4236/jgis.2022.142009","DOIUrl":"https://doi.org/10.4236/jgis.2022.142009","url":null,"abstract":"The characteristics of urban space expansion reflect the changes of urban spatial layout and structure, as well as the orientation of urban development in the future. This paper uses the regional sector division method to divide the urban land into 8 orientations, based on the urban land space compaction index, and designs a sector partition compaction index. Based on the remote sensing image data of 1990, 2000, 2010, and 2020, the spatial characteristics of urban land expansion of Luoyang are analyzed by using the partition compaction index, expansion intensity index, fractal dimension, and standard deviation ellipse. The results show that: from 1990 to 2020, the urban overall planning of Luoyang has effectively guided the urban development, the urban land expands rapidly, the urban land compaction has been maintained at a low level, and the urban form has been tending to be reasonable; the urban land centroid gradually shifts to the southwest, and the distribution axis rotates clockwise from southwest-northeast to northwest-southeast, and the directionality of distribution gradually disappears; the urban land has gone through the development process of land filling-enlarging-refilling. The urban land expansion is relatively active in the region with an azimuth of 90˚ -225˚, and the urban expansion in the north of Luo River is relatively stable and is always filling mode.","PeriodicalId":68865,"journal":{"name":"地理信息系统(英文)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70326947","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

Sampling-Based Approaches to Estimating Two-Dimensional Large Wood Area from UAS Imagery 基于采样的UAS图像二维大木材面积估计方法

地理信息系统(英文) Pub Date : 2022-01-01 DOI: 10.4236/jgis.2022.146032

Matthew I. Barker, Jonathan D. Burnett, Francisco Mauro Gutiérrez, S. Wondzell, M. Wing

引用次数: 0

An Assessment of Authorized Car Wash Site Suitability Using a GIS-Based Modeling in Khartoum City, Sudan 基于gis的喀土穆市授权洗车地点适宜性评价

地理信息系统(英文) Pub Date : 2022-01-01 DOI: 10.4236/jgis.2022.142008

I. Ibrahim

引用次数: 0

Research on Greenway Route Selection of Traditional Villages Based on GIS: A Case Study of Xingtai County, China 基于GIS的传统村落绿道路径选择研究——以邢台县为例

地理信息系统(英文) Pub Date : 2022-01-01 DOI: 10.4236/jgis.2022.144017

Huixuan Chen, M. Chen, Yu Li, Dandan Zhang

引用次数: 0

Modeling and Mapping Flood Hazard with a Flood Risk Assessment Tool: A Case Study of Austin, Texas 基于洪水风险评估工具的洪水灾害建模与制图:以德克萨斯州奥斯汀市为例

地理信息系统(英文) Pub Date : 2022-01-01 DOI: 10.4236/jgis.2022.144018

C. V. Ekeanyanwu, Priyanjali Bose, Matthew Beavers, Yihong Yuan, Inioluwa Obisakin

引用次数: 1

Towards Foreign Tourist at Heritage Sites Using GIS: A Case Study of Lahore 地理信息系统对外国游客在遗产遗址中的应用——以拉合尔为例

地理信息系统(英文) Pub Date : 2022-01-01 DOI: 10.4236/jgis.2022.145029

Atif Ali, Raheema Elahi, M. A. Butt, Rashid Mehmood, K. Shafique, S. A. Mahmood

引用次数: 0

Change Detection of Lake Chad Water Surface Area Using Remote Sensing and Satellite Imagery 利用遥感和卫星图像检测乍得湖水面面积变化

地理信息系统(英文) Pub Date : 2021-09-30 DOI: 10.4236/jgis.2021.135031

A. Mahamat, A. Al-Hurban, Nehaya Saied

{"title":"Change Detection of Lake Chad Water Surface Area Using Remote Sensing and Satellite Imagery","authors":"A. Mahamat, A. Al-Hurban, Nehaya Saied","doi":"10.4236/jgis.2021.135031","DOIUrl":"https://doi.org/10.4236/jgis.2021.135031","url":null,"abstract":"The \u0000Lake Chad located in the west-central Africa in the Sahel region at the edge of \u0000the Sahara experienced severe drought during 1970s and 1980s and overexploitation \u0000(unintegrated and unsustainable use), which is a result of variant land uses \u0000and water management practices during the last 50 years. This resulted in a \u0000decline of the water level in the Lake and surrounding rivers. The present \u0000study analyzed satellite images of Lake Chad from Landsat-MSS, Landsat-OLI to \u0000investigate the change of the open water surface area during the years of 1973, \u00001987, 2001, 2013, and 2017. Supervised classifications were performed for the \u0000land cover analysis. The open water area in 1973 was covering 16,157.34 km2 approximately, and that was 64.6% of the total lake area in the 1960s. As an \u0000ultimate result of the extreme drought that the study area witnessed through \u00001970s-1980s, the open water area has decreased to 1831.44 km2, i.e. around 11.33%, compared to that in \u00001973. The dilemma that the study area is suffering from is believed to be a \u0000catastrophic complication of the aforementioned drought crisis, which arose as \u0000an ultimate result the climate change, global warming, and the unintegrated and \u0000unsustainable use of water challenges the study area is still encountering.","PeriodicalId":68865,"journal":{"name":"地理信息系统(英文)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46495641","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

Understanding the Long-Term Changes in Groundwater Level—A Tale of Highly Urbanized City 理解地下水位的长期变化——高度城市化城市的故事

地理信息系统(英文) Pub Date : 2021-07-13 DOI: 10.4236/jgis.2021.134026

Mst Ilme Faridatul, Niamul Bari

引用次数: 0

An Analysis of Spatio-Temporal Trends of Land Surface Temperature in the Dhaka Metropolitan Area by Applying Landsat Images 应用陆地卫星图像分析达卡市区地表温度的时空变化趋势

地理信息系统(英文) Pub Date : 2021-07-13 DOI: 10.4236/jgis.2021.134030

Musammat Shahinara Begum, S. Bala, A. Islam, G. Islam, D. Roy

{"title":"An Analysis of Spatio-Temporal Trends of Land Surface Temperature in the Dhaka Metropolitan Area by Applying Landsat Images","authors":"Musammat Shahinara Begum, S. Bala, A. Islam, G. Islam, D. Roy","doi":"10.4236/jgis.2021.134030","DOIUrl":"https://doi.org/10.4236/jgis.2021.134030","url":null,"abstract":"Land surface temperature (LST) is a basic determinant of the global thermal behavior of the Earth surface. LST is a vital consideration for the appraisal of gradual thermal change for urban areas to examine the strength of the thermal intensity of the surface of urban heat island (SUHI) and to see how hot the surface of the Earth would be in a particular location. In this respect, the most developed urban city like Dhaka Metropolitan Area (DMA), Bangladesh is considered for estimation of LST, and Normalized Difference Vegetation Index (NDVI) changes trend in more developed and growing developing areas. The focus of this study is to find out the critical hotspot zones for further instantaneous analysis between these two types of areas. The trends of long-term spatial and temporal LST and NDVI are estimated applying Landsat images-Landsat 5-TM and Landsat OLI_TIRS-8 for the period of 1988 to 2018 for DMA and for developed and growing developing areas during the summer season like for the month of March. The supervised classification was used to estimate the land cover categories and to generate the LST trends maps of the different percentiles of LSTs over time using the emissivity and effective at sensor brightness temperature. The study found the change in land cover patterns by different LST groups based on 50th, 75th, and 90th percentile where the maximum LST for the whole DMA went up by 2.48°C, 1.01°C, and 3.76°C for the months of March, April, and May, respectively for the period of 1988 to 2018. The highest difference in LST was found for the most recently developed area. The moderate change of LST increased in the built-up areas where LST was found more sensitive to climate change than the growing developed areas. The vegetation coverage area decreased by 6.74% in the growing, developing areas compared to the developed areas from 1988 to 2018. The findings of the study might be helpful for urban planners and researchers to take up appropriate measures to mitigate the thermal effect on urban environment.","PeriodicalId":68865,"journal":{"name":"地理信息系统(英文)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43666839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4