S. Péloquin, Q. Hugh, J. Gwyn, D. Haboudane, R. Mendez, L. Rivard
{"title":"Evaluation of RADARSAT image for landslide susceptibility mapping: application in Bolivia","authors":"S. Péloquin, Q. Hugh, J. Gwyn, D. Haboudane, R. Mendez, L. Rivard","doi":"10.1109/IGARSS.1997.615818","DOIUrl":null,"url":null,"abstract":"The problems relating to landslides and intensive gullying are of primary concern in Bolivia, especially around the city of Cochabamba where thirty nine watersheds, pointing toward the city, are generating an impressive quantity of sediments, destroying fertile lands, and putting in jeopardy many farmers who make there living in these areas. One way of changing this situation, is to evaluate the susceptibility of landslides and applying measures for restricting or correcting the highly susceptible zones. Most of the existing methodologies used to perform this evaluation are done from aerial photography to collect the necessary data, before applying proper models. This study shows that the use of RADARSAT image (Fine mode), has the potential to replace or complement aerial photography for the identification of many parameters essential in the mapping of different susceptibility classes.","PeriodicalId":64877,"journal":{"name":"遥感信息","volume":"35 1","pages":"128-130 vol.1"},"PeriodicalIF":0.0000,"publicationDate":"1997-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"遥感信息","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.1109/IGARSS.1997.615818","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The problems relating to landslides and intensive gullying are of primary concern in Bolivia, especially around the city of Cochabamba where thirty nine watersheds, pointing toward the city, are generating an impressive quantity of sediments, destroying fertile lands, and putting in jeopardy many farmers who make there living in these areas. One way of changing this situation, is to evaluate the susceptibility of landslides and applying measures for restricting or correcting the highly susceptible zones. Most of the existing methodologies used to perform this evaluation are done from aerial photography to collect the necessary data, before applying proper models. This study shows that the use of RADARSAT image (Fine mode), has the potential to replace or complement aerial photography for the identification of many parameters essential in the mapping of different susceptibility classes.
期刊介绍:
Remote Sensing Information is a bimonthly academic journal supervised by the Ministry of Natural Resources of the People's Republic of China and sponsored by China Academy of Surveying and Mapping Science. Since its inception in 1986, it has been one of the authoritative journals in the field of remote sensing in China.In 2014, it was recognised as one of the first batch of national academic journals, and was awarded the honours of Core Journals of China Science Citation Database, Chinese Core Journals, and Core Journals of Science and Technology of China. The journal won the Excellence Award (First Prize) of the National Excellent Surveying, Mapping and Geographic Information Journal Award in 2011 and 2017 respectively.
Remote Sensing Information is dedicated to reporting the cutting-edge theoretical and applied results of remote sensing science and technology, promoting academic exchanges at home and abroad, and promoting the application of remote sensing science and technology and industrial development. The journal adheres to the principles of openness, fairness and professionalism, abides by the anonymous review system of peer experts, and has good social credibility. The main columns include Review, Theoretical Research, Innovative Applications, Special Reports, International News, Famous Experts' Forum, Geographic National Condition Monitoring, etc., covering various fields such as surveying and mapping, forestry, agriculture, geology, meteorology, ocean, environment, national defence and so on.
Remote Sensing Information aims to provide a high-level academic exchange platform for experts and scholars in the field of remote sensing at home and abroad, to enhance academic influence, and to play a role in promoting and supporting the protection of natural resources, green technology innovation, and the construction of ecological civilisation.