O. Tokar, M. Gusti, O. Vovk, S. Havryliuk, M. Korol
{"title":"森林生态系统死亡有机质碳储量测定的地理信息技术","authors":"O. Tokar, M. Gusti, O. Vovk, S. Havryliuk, M. Korol","doi":"10.1109/STC-CSIT.2019.8929796","DOIUrl":null,"url":null,"abstract":"An improved model for determining carbon stocks in dead organic matter (DOM) of forest ecosystems has been proposed, and respective geoinformation technology has been developed. That resulted in enhanced accuracy of estimation of the carbon stock in the lying dead wood and litter in forest plantations and obtaining a spatial estimate of DOM carbon stocks of forest ecosystems.","PeriodicalId":271237,"journal":{"name":"2019 IEEE 14th International Conference on Computer Sciences and Information Technologies (CSIT)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Geoinformation Technology for the Determination of Carbon Stocks in the Dead Organic Matter of Forest Ecosystems\",\"authors\":\"O. Tokar, M. Gusti, O. Vovk, S. Havryliuk, M. Korol\",\"doi\":\"10.1109/STC-CSIT.2019.8929796\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An improved model for determining carbon stocks in dead organic matter (DOM) of forest ecosystems has been proposed, and respective geoinformation technology has been developed. That resulted in enhanced accuracy of estimation of the carbon stock in the lying dead wood and litter in forest plantations and obtaining a spatial estimate of DOM carbon stocks of forest ecosystems.\",\"PeriodicalId\":271237,\"journal\":{\"name\":\"2019 IEEE 14th International Conference on Computer Sciences and Information Technologies (CSIT)\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE 14th International Conference on Computer Sciences and Information Technologies (CSIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/STC-CSIT.2019.8929796\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 14th International Conference on Computer Sciences and Information Technologies (CSIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/STC-CSIT.2019.8929796","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Geoinformation Technology for the Determination of Carbon Stocks in the Dead Organic Matter of Forest Ecosystems
An improved model for determining carbon stocks in dead organic matter (DOM) of forest ecosystems has been proposed, and respective geoinformation technology has been developed. That resulted in enhanced accuracy of estimation of the carbon stock in the lying dead wood and litter in forest plantations and obtaining a spatial estimate of DOM carbon stocks of forest ecosystems.