2021 28th International Conference on Geoinformatics最新文献_第4页

Land surface temperature variability over various land covers in Punjab (Pakistan) from MODIS data 来自MODIS数据的旁遮普(巴基斯坦)不同土地覆盖的地表温度变化

2021 28th International Conference on Geoinformatics Pub Date : 2021-11-03 DOI: 10.1109/ieeeconf54055.2021.9687662

Usman Mazhar, Shuanggen Jin, M. Bilal

引用次数: 0

Impacts of Radiance Quantization on Surface Mapping: Comparisons among the Landsat Sensors 辐射量化对地表制图的影响:陆地卫星传感器间的比较

2021 28th International Conference on Geoinformatics Pub Date : 2021-11-03 DOI: 10.1109/ieeeconf54055.2021.9687652

F. Chen, Ziqun Zhang, Wenhao Zhang, Yuejun Song

{"title":"Impacts of Radiance Quantization on Surface Mapping: Comparisons among the Landsat Sensors","authors":"F. Chen, Ziqun Zhang, Wenhao Zhang, Yuejun Song","doi":"10.1109/ieeeconf54055.2021.9687652","DOIUrl":"https://doi.org/10.1109/ieeeconf54055.2021.9687652","url":null,"abstract":"Radiance quantization and dynamic ranges are considered the basic characteristics of a sensor in radiometry. However, their impacts on surface mapping have not been fully investigated and understood (e.g., for different Landsat sensors), while much attention has been paid to the impacts related to other aspects (e.g., spatial resolution, the wavelength of spectral channels, and several spectral channels). In this paper, a synthesized data collection of multispectral reflectance and radiance (with and without considering actual quantization) for the Landsat sensors from hyperspectral records was generated. Based on the synthesized data, the impacts of radiance quantization were discussed in terms of channel reflectance and spectral indices. As the preliminary findings show, the quantization effects on channel reflectance vary among channels, presenting different impacts on spectral indices correspondingly, which affect the measures of between-sensor difference. It also suggests that the effects of quantization may relate to land surface conditions (e.g., land use and land cover) in addition to the sensor characteristics.","PeriodicalId":171165,"journal":{"name":"2021 28th International Conference on Geoinformatics","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129789612","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: 1

Mine Geological Environment Quality Assessment Technology Based on Airborne LiDAR 基于机载激光雷达的矿山地质环境质量评价技术

2021 28th International Conference on Geoinformatics Pub Date : 2021-11-03 DOI: 10.1109/ieeeconf54055.2021.9687643

S. Sun, Qingwu Hu, Zhumao Lu, Gong Hao

引用次数: 0

Analysis of major tsunami prevention areas in Zhujiajian Island of China 中国朱家尖岛主要海啸防区分析

2021 28th International Conference on Geoinformatics Pub Date : 2021-11-03 DOI: 10.1109/ieeeconf54055.2021.9687510

J. Hou, Yi Gao, Juncheng Wang, Wei Lu, Zhiyuan Ren

引用次数: 0

Dynamic Target Tracking and Geospatial Transformation in Place-Based on DNN 基于深度神经网络的场所动态目标跟踪与地理空间转换

2021 28th International Conference on Geoinformatics Pub Date : 2021-11-03 DOI: 10.1109/ieeeconf54055.2021.9687634

Feng Liu, Zhigang Han, Qian Li, Caihui Cui

{"title":"Dynamic Target Tracking and Geospatial Transformation in Place-Based on DNN","authors":"Feng Liu, Zhigang Han, Qian Li, Caihui Cui","doi":"10.1109/ieeeconf54055.2021.9687634","DOIUrl":"https://doi.org/10.1109/ieeeconf54055.2021.9687634","url":null,"abstract":"Video surveillance is critical for public safety. In open spaces such as urban places, how to conduct an intelligent analysis of surveillance video to obtain the dynamic target trajectory in the place is valuable for monitoring the behavior and motion situation of the dynamic target. According to the latest progress in the field of Deep Neural Network (DNN) and object detection and tracking, this paper aims to develop the method for dynamic Target Tracking and geographical transformation in the place. The detection model, YOLOv3 is used to extract dynamic target features, and dynamic target tracking is performed based on the DeepSORT method. The trajectories of the target are generated in the video frames and transformed into geographic space using the homography transformation method to visualize and analyze it based on GIS. As the experimental shows, the integrated DeepSORT and YOLOv3 models can quickly detect and track dynamic targets, and map target trajectories to geographic space, which could provide essential support for target trajectory analysis and motion situation awareness based on geospatial information in video surveillance.","PeriodicalId":171165,"journal":{"name":"2021 28th International Conference on Geoinformatics","volume":"496 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122755139","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

Assessment on Ecological Services Using Trends of Net Primary Productivity: A Case Study of Shennongjia Forest Reserve 利用净初级生产力评价生态服务功能——以神农架森林保护区为例

2021 28th International Conference on Geoinformatics Pub Date : 2021-11-03 DOI: 10.1109/ieeeconf54055.2021.9687645

Caiqun Wang, Sirui Yan, Xinshuang Wang, Zelin Xu, Jing Xiong, Ze-peng Wu, Ding Zhang, Hua Zhang, Xiaoliang Meng

引用次数: 0

Monitoring Resumption of Work and Production in Wuhan Built-up Area During COVID-19 Based on NPP-VIIRS and Landsat 8 Data 基于NPP-VIIRS和Landsat 8数据的武汉建成区疫情复工复产监测

2021 28th International Conference on Geoinformatics Pub Date : 2021-11-03 DOI: 10.1109/ieeeconf54055.2021.9687509

Yin Zhang, Qingwu Hu, Xi Li

{"title":"Monitoring Resumption of Work and Production in Wuhan Built-up Area During COVID-19 Based on NPP-VIIRS and Landsat 8 Data","authors":"Yin Zhang, Qingwu Hu, Xi Li","doi":"10.1109/ieeeconf54055.2021.9687509","DOIUrl":"https://doi.org/10.1109/ieeeconf54055.2021.9687509","url":null,"abstract":"At the beginning of 2020, an outbreak of the Corona Virus Disease 2019 (COVID-19) broke out in Wuhan, Hubei Province, China. With the effective control of the epidemic, all enterprises gradually resumed work and production. The advantage of remote sensing is that it can obtain a large range of data in a short time, which is conducive to the dynamic monitoring of land surface changes. Therefore, using remote sensing technology to monitor the resumption of work and production in Wuhan built-up area is of great significance to economic and social development. This study presented a Vegetation and Building Adjusted NTL Urban Index (VBANUI) based on NPP-VIIRS and Landsat 8 data to extract the built-up of Wuhan. The extraction accuracy of VBANUI was 5.1%, which was better than the traditional method (based on Nighttime Light (NTL): 9.4% and based on Vegetation Adjusted NTL Urban Index (VANUI): 6.5%). The average value of nighttime light intensity and the proportion of high nighttime light intensity in Wuhan built-up areas from April to June were larger than those from January to March in 2020, increasing by 2.8 nW/cm2/sr and 2.6%, respectively. In general, the nighttime light intensity in the built-up area of Wuhan increased gradually with the resumption of work and production.","PeriodicalId":171165,"journal":{"name":"2021 28th International Conference on Geoinformatics","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124298482","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