Pub Date : 2022-04-22DOI: 10.1109/ICGMRS55602.2022.9849251
Yongquan Xia, Yiqing Li, Jianhua Dong
For the problem of poor real-time and accuracy of distance measurement of obstacles on blind corridors with the traditional ORB (Oriented FAST (Features from Accelerated Segment Test) and Rotated BRIEF (Binary Robust Independent Elementary Features)) matching algorithm, a method of narrowing the search domain is proposed to optimize the ORB algorithm. Firstly, the image is fed into the trained SegNet network model to obtain the segmented blind image, which is converted into a binary image to obtain the position information of the blind in the x-direction of the whole image, and then feature point extraction is performed in the blind area. Secondly, the polar line constraint is added to the feature matching part and the RANSAC algorithm is combined to optimize the matching to obtain the obstacle feature point pairs in the blind area. Finally, the parallax is calculated according to the two-dimensional planar structure of binocular stereo vision to find the precise distance of the obstacle. The experimental results show that the improved ORB algorithm has better real-time performance and accuracy.
{"title":"Research on Blind path Obstacle ranging based on improved ORB Feature Matching","authors":"Yongquan Xia, Yiqing Li, Jianhua Dong","doi":"10.1109/ICGMRS55602.2022.9849251","DOIUrl":"https://doi.org/10.1109/ICGMRS55602.2022.9849251","url":null,"abstract":"For the problem of poor real-time and accuracy of distance measurement of obstacles on blind corridors with the traditional ORB (Oriented FAST (Features from Accelerated Segment Test) and Rotated BRIEF (Binary Robust Independent Elementary Features)) matching algorithm, a method of narrowing the search domain is proposed to optimize the ORB algorithm. Firstly, the image is fed into the trained SegNet network model to obtain the segmented blind image, which is converted into a binary image to obtain the position information of the blind in the x-direction of the whole image, and then feature point extraction is performed in the blind area. Secondly, the polar line constraint is added to the feature matching part and the RANSAC algorithm is combined to optimize the matching to obtain the obstacle feature point pairs in the blind area. Finally, the parallax is calculated according to the two-dimensional planar structure of binocular stereo vision to find the precise distance of the obstacle. The experimental results show that the improved ORB algorithm has better real-time performance and accuracy.","PeriodicalId":129909,"journal":{"name":"2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130831053","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 : 2022-04-22DOI: 10.1109/ICGMRS55602.2022.9849231
Hao Zheng, F. Yu, Hanxiang Wang
Nowadays, with the rapid development of economy and the increasing integration of society and economy, on the one hand, the world economy is growing rapidly, on the other hand, many people are deeply trapped in poverty. Countries and many international institutions all over the world have been paying continuous attention to the problem of poverty eradication. Assessing the level of regional poverty is a key issue in formulating poverty eradication strategies. The luminous remote sensing data of LJ1-01 satellite is applied to the study of urban poverty rate. In the future, it will study and analyze poverty problems, solve the remaining poor groups, and it is envisaged to provide reliable support and help in dealing with new poverty problems in the future. Regard Tianjin as the study area, and the basic situation of urban poverty rate is verified with the corresponding statistical data. Through the experiment, imagine a poverty rate research based on urban blocks, combine the luminous remote sensing data with the urban social and economic development, grid the experimental area, and realize a more objective, accurate and persuasive poverty rate research, which is of great significance and application value to the urban poverty rate research, economic development and urban sustainable development. The final experimental results show that the quantitative value of luminous data can reflect the economic and demographic characteristics of Tianjin to a certain extent, and the best quantitative model used in this paper can reflect the spatial distribution of urban poverty rate in Tianjin to a certain extent.
{"title":"Study on Urban Poverty Rate based on Luminous Remote Sensing Data","authors":"Hao Zheng, F. Yu, Hanxiang Wang","doi":"10.1109/ICGMRS55602.2022.9849231","DOIUrl":"https://doi.org/10.1109/ICGMRS55602.2022.9849231","url":null,"abstract":"Nowadays, with the rapid development of economy and the increasing integration of society and economy, on the one hand, the world economy is growing rapidly, on the other hand, many people are deeply trapped in poverty. Countries and many international institutions all over the world have been paying continuous attention to the problem of poverty eradication. Assessing the level of regional poverty is a key issue in formulating poverty eradication strategies. The luminous remote sensing data of LJ1-01 satellite is applied to the study of urban poverty rate. In the future, it will study and analyze poverty problems, solve the remaining poor groups, and it is envisaged to provide reliable support and help in dealing with new poverty problems in the future. Regard Tianjin as the study area, and the basic situation of urban poverty rate is verified with the corresponding statistical data. Through the experiment, imagine a poverty rate research based on urban blocks, combine the luminous remote sensing data with the urban social and economic development, grid the experimental area, and realize a more objective, accurate and persuasive poverty rate research, which is of great significance and application value to the urban poverty rate research, economic development and urban sustainable development. The final experimental results show that the quantitative value of luminous data can reflect the economic and demographic characteristics of Tianjin to a certain extent, and the best quantitative model used in this paper can reflect the spatial distribution of urban poverty rate in Tianjin to a certain extent.","PeriodicalId":129909,"journal":{"name":"2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132042036","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 : 2022-04-22DOI: 10.1109/ICGMRS55602.2022.9849332
O. Deng, Y. Q. Li
Objective and scientific evaluation of ecosystem services value and inclusion of ecosystem service accounting in national economic accounting system are hot issues in ecological field. Taking Guanshanhu District of Guiyang City in Guizhou Province as the research object, apply remote sensing images, ground monitoring and statistical data as data sources, with the help of variety of empirical models, this paper analyzes the change and sensitivity of ecosystem services in 2000, 2010 and 2020. The result shows that the area of forest and grassland ecosystem increased during 2000-2010 and decreased during 2010-2020. The human settlement ecosystem grew rapidly from 1146.82 hm2 to 7544.29 hm2 during 2000-2020. The farmland ecosystem continued to decrease from 13308.29 hm2 to 6342.33 hm2 during 2000-2020. With the dynamic changes of ecosystem spatial pattern and structure, the value of ecosystem services shows a steady growth trend because of the improving quality of ecosystem by implementing of various ecological engineering programs. The total value of forest and wetland ecosystems was sensitive and resilient to the ecosystem service value coefficient. In the future, it is necessary to establish a strict pre-trial system for the use of forest and wetland, so as to effectively protect forest and wetland resources and meet the growing ecological needs of residents.
{"title":"Changes and Sensitivity Analysis of Ecosystem Services of New Urban Areas in Guanshanhu District, Guiyang, Guizhou Province, China","authors":"O. Deng, Y. Q. Li","doi":"10.1109/ICGMRS55602.2022.9849332","DOIUrl":"https://doi.org/10.1109/ICGMRS55602.2022.9849332","url":null,"abstract":"Objective and scientific evaluation of ecosystem services value and inclusion of ecosystem service accounting in national economic accounting system are hot issues in ecological field. Taking Guanshanhu District of Guiyang City in Guizhou Province as the research object, apply remote sensing images, ground monitoring and statistical data as data sources, with the help of variety of empirical models, this paper analyzes the change and sensitivity of ecosystem services in 2000, 2010 and 2020. The result shows that the area of forest and grassland ecosystem increased during 2000-2010 and decreased during 2010-2020. The human settlement ecosystem grew rapidly from 1146.82 hm2 to 7544.29 hm2 during 2000-2020. The farmland ecosystem continued to decrease from 13308.29 hm2 to 6342.33 hm2 during 2000-2020. With the dynamic changes of ecosystem spatial pattern and structure, the value of ecosystem services shows a steady growth trend because of the improving quality of ecosystem by implementing of various ecological engineering programs. The total value of forest and wetland ecosystems was sensitive and resilient to the ecosystem service value coefficient. In the future, it is necessary to establish a strict pre-trial system for the use of forest and wetland, so as to effectively protect forest and wetland resources and meet the growing ecological needs of residents.","PeriodicalId":129909,"journal":{"name":"2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130137828","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 : 2022-04-22DOI: 10.1109/ICGMRS55602.2022.9849240
Zhisong Liu, Xuebing Yang, Fengdong Bi, Yong Mao, Bin Li, Chao Chen, Yanli Chu, Yao Chen
Environmental remote sensing inversion of chlorophyll concentration in water had always been a hot issue. In recent years, with the development of environmental satellite technology, this hot spot had been pushed to a peak again. There were different inversion methods for lakes, oceans, rivers, reservoirs and other water bodies. Remote sensing inversion of chlorophyll-a concentration of Lake Tai in this paper was implemented, trying to use the measured data of Lake Tai and remote sensing images obtained from the HJ-1 satellite. Firstly, the acquired data was previously processed through atmospheric correction and radiometric calibration. Secondly, the sensitive factor was determined and the ways were band ratio, NDWI, NDVI about it. Thirdly, the inversion model was constructed, single band regression analysis was utilized and accuracy of the model was calculated. The result of the verification showed that the precision was remarkable. Finally, we got conclusions that chlorophyll-a concentration was higher in the east and north of Lake Tai from a spatial point of view and it was lower in winter and spring, rather higher in summer and autumn in terms of time.
{"title":"Remote sensing of chlorophyll concentration based on HJ-1 satellite in Lake Tai, China","authors":"Zhisong Liu, Xuebing Yang, Fengdong Bi, Yong Mao, Bin Li, Chao Chen, Yanli Chu, Yao Chen","doi":"10.1109/ICGMRS55602.2022.9849240","DOIUrl":"https://doi.org/10.1109/ICGMRS55602.2022.9849240","url":null,"abstract":"Environmental remote sensing inversion of chlorophyll concentration in water had always been a hot issue. In recent years, with the development of environmental satellite technology, this hot spot had been pushed to a peak again. There were different inversion methods for lakes, oceans, rivers, reservoirs and other water bodies. Remote sensing inversion of chlorophyll-a concentration of Lake Tai in this paper was implemented, trying to use the measured data of Lake Tai and remote sensing images obtained from the HJ-1 satellite. Firstly, the acquired data was previously processed through atmospheric correction and radiometric calibration. Secondly, the sensitive factor was determined and the ways were band ratio, NDWI, NDVI about it. Thirdly, the inversion model was constructed, single band regression analysis was utilized and accuracy of the model was calculated. The result of the verification showed that the precision was remarkable. Finally, we got conclusions that chlorophyll-a concentration was higher in the east and north of Lake Tai from a spatial point of view and it was lower in winter and spring, rather higher in summer and autumn in terms of time.","PeriodicalId":129909,"journal":{"name":"2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132713689","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 : 2022-04-22DOI: 10.1109/ICGMRS55602.2022.9849349
Hailong Sun, Yingxin Liu, Xuguang Lin, Hongye Wang
The development of mineral resources in the northern mining area of Liaoyuan City, Jilin Province has made a great contribution to China’s national economic construction, but the mining leads to the destruction of the mine geological environment is also very serious, especially in the goaf. In order to promote the sustainable development of cities with exhausted mineral resources and strengthen the comprehensive treatment of the mine geological environment, the premise of the treatment is to monitor the main deformation areas and deformation laws. In view of the above problems, this paper uses InSAR Technology for ground deformation monitoring to obtain the ground deformation rate in the area from October 2016 to October 2021. At the same time, UAV aerial survey and ground investigation are carried out. The results show that the deformation signs in the collapse area in the area are consistent with the interpretation results of InSAR technology, indicating that InSAR technology has a good application in deformation monitoring in coal mining subsidence area, and has broad prospects.
{"title":"Application of Interferometric Synthetic Aperture Radar Technology in monitoring coal mining subsidence area of Liaoyuan","authors":"Hailong Sun, Yingxin Liu, Xuguang Lin, Hongye Wang","doi":"10.1109/ICGMRS55602.2022.9849349","DOIUrl":"https://doi.org/10.1109/ICGMRS55602.2022.9849349","url":null,"abstract":"The development of mineral resources in the northern mining area of Liaoyuan City, Jilin Province has made a great contribution to China’s national economic construction, but the mining leads to the destruction of the mine geological environment is also very serious, especially in the goaf. In order to promote the sustainable development of cities with exhausted mineral resources and strengthen the comprehensive treatment of the mine geological environment, the premise of the treatment is to monitor the main deformation areas and deformation laws. In view of the above problems, this paper uses InSAR Technology for ground deformation monitoring to obtain the ground deformation rate in the area from October 2016 to October 2021. At the same time, UAV aerial survey and ground investigation are carried out. The results show that the deformation signs in the collapse area in the area are consistent with the interpretation results of InSAR technology, indicating that InSAR technology has a good application in deformation monitoring in coal mining subsidence area, and has broad prospects.","PeriodicalId":129909,"journal":{"name":"2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128409856","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 : 2022-04-22DOI: 10.1109/ICGMRS55602.2022.9849244
Dazhou Xiao, Like Wang, Chao Han, Yuxiang Liu, Ruicong He, Qian Cao
The continuous improvement in the performance and stability of space spectrometers, which include spectral range, spectral resolution, and spectral distortion, makes optical system increasingly complex, which means more optical components are required. However, space missions have strict restrictions on volume and weight. Therefore, light and compact design of space spectrometers are required. The aluminum mirror can undertake both optical and bearing functions, which is one of the key technologies to address this challenge and realize the light and compact optical-mechanical system that has broad applications. A novel structure design method for special-shaped lightweight aluminum mirror of space spectrometers is proposed in this study, which includes scheme design, assembly deformation and unloading structure mode analysis, and lightweight design method. The aluminum mirrors of a hyperspectral remote spectrometer is designed by this method to verify the effectiveness of the method. Different load-bearing structures and weight reduction designs are designed for different aluminum mirrors, so that the weight of this high complexity and multi temperature spectrometer is reduced by 50% while the accuracy remains unchanged.
{"title":"Novel structural design method of special-shaped lightweight aluminum mirror for space spectrometer","authors":"Dazhou Xiao, Like Wang, Chao Han, Yuxiang Liu, Ruicong He, Qian Cao","doi":"10.1109/ICGMRS55602.2022.9849244","DOIUrl":"https://doi.org/10.1109/ICGMRS55602.2022.9849244","url":null,"abstract":"The continuous improvement in the performance and stability of space spectrometers, which include spectral range, spectral resolution, and spectral distortion, makes optical system increasingly complex, which means more optical components are required. However, space missions have strict restrictions on volume and weight. Therefore, light and compact design of space spectrometers are required. The aluminum mirror can undertake both optical and bearing functions, which is one of the key technologies to address this challenge and realize the light and compact optical-mechanical system that has broad applications. A novel structure design method for special-shaped lightweight aluminum mirror of space spectrometers is proposed in this study, which includes scheme design, assembly deformation and unloading structure mode analysis, and lightweight design method. The aluminum mirrors of a hyperspectral remote spectrometer is designed by this method to verify the effectiveness of the method. Different load-bearing structures and weight reduction designs are designed for different aluminum mirrors, so that the weight of this high complexity and multi temperature spectrometer is reduced by 50% while the accuracy remains unchanged.","PeriodicalId":129909,"journal":{"name":"2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)","volume":"285 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122103059","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 : 2022-04-22DOI: 10.1109/ICGMRS55602.2022.9849302
Jing Hu, Lujin Hu, Jian Wang, Zheng Wen
The city center plays an important role in the functioning of the city and the multi-center spatial structure has become an important urban space model. In this paper, the urban POI (Points of Interest) data and road network data are used as the basic data sources, and the results of their kernel density analysis are used to construct an urban multi-center spatial structure identification method based on the localized contour tree. Taking the core area of Beijing as an example to achieve a more refined and efficient extraction of the multi-center spatial structure of the study area. Identifying the multi-center spatial structure of the core area of Beijing has reference significance for urban development planning.
城市中心在城市功能中起着重要作用，多中心空间结构已成为重要的城市空间模式。本文以城市POI (point of Interest)数据和路网数据为基础数据源，利用其核密度分析结果构建了一种基于局域化等高线树的城市多中心空间结构识别方法。以北京核心区为例，实现对研究区域多中心空间结构的更精细高效的提取。确定北京核心区的多中心空间结构对城市发展规划具有借鉴意义。
{"title":"Identification of multi-center spatial structure in Beijing core area based on multi-source data","authors":"Jing Hu, Lujin Hu, Jian Wang, Zheng Wen","doi":"10.1109/ICGMRS55602.2022.9849302","DOIUrl":"https://doi.org/10.1109/ICGMRS55602.2022.9849302","url":null,"abstract":"The city center plays an important role in the functioning of the city and the multi-center spatial structure has become an important urban space model. In this paper, the urban POI (Points of Interest) data and road network data are used as the basic data sources, and the results of their kernel density analysis are used to construct an urban multi-center spatial structure identification method based on the localized contour tree. Taking the core area of Beijing as an example to achieve a more refined and efficient extraction of the multi-center spatial structure of the study area. Identifying the multi-center spatial structure of the core area of Beijing has reference significance for urban development planning.","PeriodicalId":129909,"journal":{"name":"2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126051073","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}
With the expansion of the power grid and the limitation of the geographical environment, some areas have to adopt the way of crossing the forest area to arrange the transmission lines. Some forest areas are sparsely populated and the vegetation is lush. Once a mountain fire occurs, it is easy to spread to the vicinity of the transmission corridor, resulting in the failure of transmission line tripping and reclosing. In order to effectively predict wildfires, this paper proposes a wildfire risk assessment model based on LightGBM. Combining vegetation factors, meteorological factors, terrain factors, and human factors, the moderately correlated fire point characteristics were screened out based on correlation analysis, and a wildfire risk assessment model was constructed. After that, the fire point products of NPP and MODIS are used as the validation data of the model, and the acracy of the model is predicted by the accuracy, precision, recall, F1-Score and AUC values. A comprehensive evaluation showed that the accuracy of the model was 0.86 and the AUC value was 0.83. The results showed that the model could effectively predict wildfire risk.
{"title":"Wildfire risk assessment based on Light Gradient Boosting Machine model","authors":"Feng Xiao, Guanyu Lin, Tianyu Li, Jiaying Li, Jiaqing Zhang","doi":"10.1109/ICGMRS55602.2022.9849276","DOIUrl":"https://doi.org/10.1109/ICGMRS55602.2022.9849276","url":null,"abstract":"With the expansion of the power grid and the limitation of the geographical environment, some areas have to adopt the way of crossing the forest area to arrange the transmission lines. Some forest areas are sparsely populated and the vegetation is lush. Once a mountain fire occurs, it is easy to spread to the vicinity of the transmission corridor, resulting in the failure of transmission line tripping and reclosing. In order to effectively predict wildfires, this paper proposes a wildfire risk assessment model based on LightGBM. Combining vegetation factors, meteorological factors, terrain factors, and human factors, the moderately correlated fire point characteristics were screened out based on correlation analysis, and a wildfire risk assessment model was constructed. After that, the fire point products of NPP and MODIS are used as the validation data of the model, and the acracy of the model is predicted by the accuracy, precision, recall, F1-Score and AUC values. A comprehensive evaluation showed that the accuracy of the model was 0.86 and the AUC value was 0.83. The results showed that the model could effectively predict wildfire risk.","PeriodicalId":129909,"journal":{"name":"2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123953054","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 : 2022-04-22DOI: 10.1109/ICGMRS55602.2022.9849279
Lisha Qian, Shuisen Chen, Hao Jiang, Xuemei Dai, Kai Jia
With a foreseen increase in the number of agrometeorological disasters due to climate change, especially in the field of crop lodging. This paper presented an innovative monitoring technique to explore the application potential of muti-source remote sensing data. Based on the sugarcane planting area extracted from sentinel-1 time-series data and combination of Landsat-8 and sentinel-2 MSI images before and after Super Typhoon Hato, a vegetation index distance leveling method was come out and then was applied to assess the sugarcane lodging in Dagang Town, Nansha District, Guangzhou City. The region was caused by strong wind and rainstorm on August 23, 2017. The validation results showed that the multi-temporal Sentinel-1 image data can effectively extract the sugarcane planted area before and after lodging with an accuracy of 87.83%. Compared with other vegetation indices (RVI/LSWI/NBR/EVI/DVI), NDVI was the most sensitive in response to sugarcane lodging. The validation accuracy of extracting farmland damage extent reached 71.64%, among them, the affected area of sugarcane reached 711.33 ha. The study further illustrates the capability of the image vegetation index difference method on monitoring of sugarcane lodging degree at the reginal scale.
{"title":"Quantitative monitoring of sugarcane typhoon disaster based on multi-source remote sensing data","authors":"Lisha Qian, Shuisen Chen, Hao Jiang, Xuemei Dai, Kai Jia","doi":"10.1109/ICGMRS55602.2022.9849279","DOIUrl":"https://doi.org/10.1109/ICGMRS55602.2022.9849279","url":null,"abstract":"With a foreseen increase in the number of agrometeorological disasters due to climate change, especially in the field of crop lodging. This paper presented an innovative monitoring technique to explore the application potential of muti-source remote sensing data. Based on the sugarcane planting area extracted from sentinel-1 time-series data and combination of Landsat-8 and sentinel-2 MSI images before and after Super Typhoon Hato, a vegetation index distance leveling method was come out and then was applied to assess the sugarcane lodging in Dagang Town, Nansha District, Guangzhou City. The region was caused by strong wind and rainstorm on August 23, 2017. The validation results showed that the multi-temporal Sentinel-1 image data can effectively extract the sugarcane planted area before and after lodging with an accuracy of 87.83%. Compared with other vegetation indices (RVI/LSWI/NBR/EVI/DVI), NDVI was the most sensitive in response to sugarcane lodging. The validation accuracy of extracting farmland damage extent reached 71.64%, among them, the affected area of sugarcane reached 711.33 ha. The study further illustrates the capability of the image vegetation index difference method on monitoring of sugarcane lodging degree at the reginal scale.","PeriodicalId":129909,"journal":{"name":"2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124124532","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 : 2022-04-22DOI: 10.1109/ICGMRS55602.2022.9849299
Shufu Lin, Ying Ding, Shenghua Gao
With the increase in greenhouse gas emissions, global warming has been accelerating. Aiming at reducing the amount of greenhouse gas in the atmosphere, this paper takes the dominant tree species in Gansu Province of China as the research objects, obtains the data on forests area through remote sensing and GIS technology, and evaluates the carbon sink capacity of forest trees. The research simulates the actual growth of the tree by computer, and compares cumulative carbon sinks between the control group and the experimental group, in order to determine the optimal harvesting ages of the tree. The results show that the optimal harvesting ages of Pinus armandii, Quercus liaotungensis, and Betula platyphylla are 61a, 120a and 61a, respectively. Compared with the control group, the cumulative carbon sinks of Pinus armandii, Quercus liaotungensis and Betula platyphylla are higher by 11.57%, 17.77% and 96.43%, respectively, while those of Abies fabri and Cupressus funebris are lower by 39.74% and 56.49%. In addition, this paper provides a decision-making method for managing tree harvesting from the perspective of carbon sink, which promotes the carbon sink capacity of the tree in a certain number of years. The research in this paper is of great significance to remote sensing applications and scientific decision-making by forest operators.
{"title":"Evaluation of Carbon Sink Capacity of Tree Species in Gansu Province based on Remote Sensing Data","authors":"Shufu Lin, Ying Ding, Shenghua Gao","doi":"10.1109/ICGMRS55602.2022.9849299","DOIUrl":"https://doi.org/10.1109/ICGMRS55602.2022.9849299","url":null,"abstract":"With the increase in greenhouse gas emissions, global warming has been accelerating. Aiming at reducing the amount of greenhouse gas in the atmosphere, this paper takes the dominant tree species in Gansu Province of China as the research objects, obtains the data on forests area through remote sensing and GIS technology, and evaluates the carbon sink capacity of forest trees. The research simulates the actual growth of the tree by computer, and compares cumulative carbon sinks between the control group and the experimental group, in order to determine the optimal harvesting ages of the tree. The results show that the optimal harvesting ages of Pinus armandii, Quercus liaotungensis, and Betula platyphylla are 61a, 120a and 61a, respectively. Compared with the control group, the cumulative carbon sinks of Pinus armandii, Quercus liaotungensis and Betula platyphylla are higher by 11.57%, 17.77% and 96.43%, respectively, while those of Abies fabri and Cupressus funebris are lower by 39.74% and 56.49%. In addition, this paper provides a decision-making method for managing tree harvesting from the perspective of carbon sink, which promotes the carbon sink capacity of the tree in a certain number of years. The research in this paper is of great significance to remote sensing applications and scientific decision-making by forest operators.","PeriodicalId":129909,"journal":{"name":"2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124157936","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：