I. Zenkov, E.A. Kustikova, Chin Le Hung, O.V. Silvanovich, Y. Yuronen, Yu. A. Maglinets, K. Raevich, E.I. Gerasimova, Zhenni V. Mironova, S. N. Skornyakova
{"title":"基于遥感资源和人工智能的露天采矿公司解决扰动土地生态问题的数字平台","authors":"I. Zenkov, E.A. Kustikova, Chin Le Hung, O.V. Silvanovich, Y. Yuronen, Yu. A. Maglinets, K. Raevich, E.I. Gerasimova, Zhenni V. Mironova, S. N. Skornyakova","doi":"10.18412/1816-0395-2024-1-52-57","DOIUrl":null,"url":null,"abstract":"A justification for the creation of a center for remote sensing of the Earth from space is presented in order to monitor the environmental condition of the companies producing solid minerals on a federal scale. The use of artificial intelligence elements in the search for environmentally acceptable geometric parameters of the refuse dumps is shown. The structure of an algorithm for substantiating the technologies for formation and reclamation of the refuse dumps is disclosed, considering the natural and climatic characteristics of the territories where the mineral deposits are being developed. The interaction of information flows with subjects in the ecology of the mining industry is detailed.","PeriodicalId":502598,"journal":{"name":"Ecology and Industry of Russia","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Digital Platform for Resolving Problems of Ecology of Disturbed Lands for Mining Companies with Open-pit Mining Based on Remote Sensing Resources and Artificial Intelligence\",\"authors\":\"I. Zenkov, E.A. Kustikova, Chin Le Hung, O.V. Silvanovich, Y. Yuronen, Yu. A. Maglinets, K. Raevich, E.I. Gerasimova, Zhenni V. Mironova, S. N. Skornyakova\",\"doi\":\"10.18412/1816-0395-2024-1-52-57\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A justification for the creation of a center for remote sensing of the Earth from space is presented in order to monitor the environmental condition of the companies producing solid minerals on a federal scale. The use of artificial intelligence elements in the search for environmentally acceptable geometric parameters of the refuse dumps is shown. The structure of an algorithm for substantiating the technologies for formation and reclamation of the refuse dumps is disclosed, considering the natural and climatic characteristics of the territories where the mineral deposits are being developed. The interaction of information flows with subjects in the ecology of the mining industry is detailed.\",\"PeriodicalId\":502598,\"journal\":{\"name\":\"Ecology and Industry of Russia\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ecology and Industry of Russia\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18412/1816-0395-2024-1-52-57\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecology and Industry of Russia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18412/1816-0395-2024-1-52-57","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Digital Platform for Resolving Problems of Ecology of Disturbed Lands for Mining Companies with Open-pit Mining Based on Remote Sensing Resources and Artificial Intelligence
A justification for the creation of a center for remote sensing of the Earth from space is presented in order to monitor the environmental condition of the companies producing solid minerals on a federal scale. The use of artificial intelligence elements in the search for environmentally acceptable geometric parameters of the refuse dumps is shown. The structure of an algorithm for substantiating the technologies for formation and reclamation of the refuse dumps is disclosed, considering the natural and climatic characteristics of the territories where the mineral deposits are being developed. The interaction of information flows with subjects in the ecology of the mining industry is detailed.