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Analysis of GPS Technology in Surveying and Mapping Engineering Technology
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作者 Hanyu Zhao 《Journal of World Architecture》 2024年第2期84-89,共6页
With the rapid advancement of digital and information technology,global positioning system(GPS)technology has seen increasing utilization in surveying and mapping engineering,extending its application across land,ocea... With the rapid advancement of digital and information technology,global positioning system(GPS)technology has seen increasing utilization in surveying and mapping engineering,extending its application across land,ocean,and various other domains.By analyzing the technical means of GPS in surveying and mapping engineering,understanding the characteristics and key technologies in different application environments,and exploring the application process and key technical means,accurate control can be effectively realized.Based on this,this paper mainly analyzes the specific application of GPS technology in surveying and mapping engineering technology for reference. 展开更多
关键词 surveying and mapping engineering technology GPS technology
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CONGRATULATIONS ON THE JOURNAL CHANGED THE NAME OF《SURVEYING AND MAPPING》AS《ENGINEERING OF SURVEYING AND MAPPING》
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作者 Jiang Liben 《测绘工程》 CSCD 1995年第1期4-4,共1页
The journal has been changed the name of《Surveytng And Mapping》,as《Engineering of Sur-veying And Mapping》from this issue.The jounal is a quarterly publication for surveying and map-ping science and technology spon... The journal has been changed the name of《Surveytng And Mapping》,as《Engineering of Sur-veying And Mapping》from this issue.The jounal is a quarterly publication for surveying and map-ping science and technology sponsored by Harbin Institute of Engineering(former Harbin Instituteof Surveyting and Mapping).The purpose of the journal is to present national and international newtheoris,techniques and methods,to exchange achievements and experience about the scientific re-search,teaching,technique reform and production management,to report national and internation-al development,seminar and technique lessons,and introduce famous scholars and books in survey-ing and mapping circles.The journal has enjoyed the support and favorable comment of nationalreaders of surveying and mapping circles. 展开更多
关键词 AS engineering OF surveying and mapping
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Automated machine learning for rainfall-induced landslide hazard mapping in Luhe County of Guangdong Province,China
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作者 Tao Li Chen-chen Xie +3 位作者 Chong Xu Wen-wen Qi Yuan-dong Huang Lei Li 《China Geology》 CAS CSCD 2024年第2期315-329,共15页
Landslide hazard mapping is essential for regional landslide hazard management.The main objective of this study is to construct a rainfall-induced landslide hazard map of Luhe County,China based on an automated machin... Landslide hazard mapping is essential for regional landslide hazard management.The main objective of this study is to construct a rainfall-induced landslide hazard map of Luhe County,China based on an automated machine learning framework(AutoGluon).A total of 2241 landslides were identified from satellite images before and after the rainfall event,and 10 impact factors including elevation,slope,aspect,normalized difference vegetation index(NDVI),topographic wetness index(TWI),lithology,land cover,distance to roads,distance to rivers,and rainfall were selected as indicators.The WeightedEnsemble model,which is an ensemble of 13 basic machine learning models weighted together,was used to output the landslide hazard assessment results.The results indicate that landslides mainly occurred in the central part of the study area,especially in Hetian and Shanghu.Totally 102.44 s were spent to train all the models,and the ensemble model WeightedEnsemble has an Area Under the Curve(AUC)value of92.36%in the test set.In addition,14.95%of the study area was determined to be at very high hazard,with a landslide density of 12.02 per square kilometer.This study serves as a significant reference for the prevention and mitigation of geological hazards and land use planning in Luhe County. 展开更多
关键词 Landslide hazard Heavy rainfall Harzard mapping Hazard assessment Automated machine learning Shallow landslide Visual interpretation Luhe County Geological hazards survey engineering
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