KARAKTERISTIK SPASIAL DAN POTENSI CADANGAN KARBON DI BENTANG ALAM MBELILING NUSA TENGGARA TIMUR

Jurnal Nusa Sylva Pub Date : 2021-12-31 DOI:10.31938/jns.v21i2.366

Serlina H. Oktian, Luluk Setyaningsih, Nengsih Anen, W. C. Adinugroho

{"title":"KARAKTERISTIK SPASIAL DAN POTENSI CADANGAN KARBON DI BENTANG ALAM MBELILING NUSA TENGGARA TIMUR","authors":"Serlina H. Oktian, Luluk Setyaningsih, Nengsih Anen, W. C. Adinugroho","doi":"10.31938/jns.v21i2.366","DOIUrl":null,"url":null,"abstract":"Providing comprehensive information on carbon stock data on all carbon pools needs to be done to plan and measure climate change mitigation efforts that are carried out. This research was conducted by analyzing spatial characteristics and estimating carbon stocks with model development. Spatial analysis is carried out to provide an overview of the distribution of spatial values that can use the built model. Estimation of carbon stock is carried out by building a carbon stock estimator model that correlates the value of remote sensing parameters with the value of carbon stocks in all carbon storage sources. The characteristics of the vegetation index value in the forest category are greater than in the non-forest category and vice versa for the distribution of the digital number average value. The model development is only carried out on aboveground biomass and belowground biomass carbon pools. The results of the analysis of the estimation of carbon stocks based on the selected model showed the potential for aboveground biomass was 5,200,841.45 tC and the potential for belowground biomass was 1,317,948.10 tC.","PeriodicalId":269767,"journal":{"name":"Jurnal Nusa Sylva","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jurnal Nusa Sylva","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31938/jns.v21i2.366","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

Providing comprehensive information on carbon stock data on all carbon pools needs to be done to plan and measure climate change mitigation efforts that are carried out. This research was conducted by analyzing spatial characteristics and estimating carbon stocks with model development. Spatial analysis is carried out to provide an overview of the distribution of spatial values that can use the built model. Estimation of carbon stock is carried out by building a carbon stock estimator model that correlates the value of remote sensing parameters with the value of carbon stocks in all carbon storage sources. The characteristics of the vegetation index value in the forest category are greater than in the non-forest category and vice versa for the distribution of the digital number average value. The model development is only carried out on aboveground biomass and belowground biomass carbon pools. The results of the analysis of the estimation of carbon stocks based on the selected model showed the potential for aboveground biomass was 5,200,841.45 tC and the potential for belowground biomass was 1,317,948.10 tC.

查看原文本刊更多论文

东努萨自然资源中的碳的空间特性和潜在储备

需要提供关于所有碳库的碳储量数据的全面信息，以规划和衡量正在开展的减缓气候变化的努力。通过空间特征分析和模型开发估算碳储量。空间分析是为了提供可以使用所建模型的空间值分布的概述。通过建立碳储量估算器模型，将遥感参数值与各碳储量源的碳储量值相关联，对碳储量进行估算。森林类植被指数值的分布特征大于非森林类植被指数值，反之亦然。模型开发仅针对地上生物量和地下生物量碳库进行。基于所选模型的碳储量估算分析结果表明，地上生物量潜力为5,200,841.45 tC，地下生物量潜力为1,317,948.10 tC。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Jurnal Nusa Sylva

自引率

0.00%

发文量