{"title":"基于SENTINEL-2A数据的印尼苏门答腊加万岛红树林叶绿素-a生物量、碳计算算法的发展","authors":"Agus Hartoko, Aulia Rahim, N. Latifah","doi":"10.21163/gt_2022.172.11","DOIUrl":null,"url":null,"abstract":": The study develop of algorithms for the tropical mangrove chlorophyll-a, biomass and carbon based on the field data measurements at Cawan Island Sumatera Indonesia and Sentinel-2A satellite data. Samples of mangrove leaf were used for chlorophylla-a measurements using spectrometry method. Field sampling data using purposive sampling method. Data of mangrove tree diameter at breast height (DBH) was processed using allometric equation to estimate the mangrove biomass and carbon content. Algorithms were developed after performing a series of polynomial regressions of field and Sentinel-2A satellite data and then select the highest correlation coefficient. The dominant mangrove is Rhizophora apiculata . The field mangrove leaf chlorophyll-a content ranged from 14.03-15.77 mg.ml - 3 , while the estimated chlorophyll-a from algorithm is in the range of 13.714-16 mg.ml -3 . Calculated field mangrove biomass is in the range of 66.31-85.05 tons.ha -1 , while the value from algorithms is in the range of 51-90 tons.ha -1 . The highest biomass and carbon storage is in the trunks. This study produces the algorithm of mangrove leaf chlorophylll-a = 0.0002((B 4 + B 2 )/2) 2 – 0.057((B 4 + B 2 )/2) + 16.79, with RMSE of 0.072 mg.m -3 . Algorithm for mangrove biomass = 24.69(B 4 /Band 2 ) 2 - 47.41(B 4 /B 2 ) + 36.06, with RMSE of 0.337 tons/0.2ha and algorithm for mangrove carbon = 10.071(B 4 /B 2 ) 2 – 23.159(B 4 /B 2 ) + 44.233; with RMSE of 0.235 tonsC/0.2ha. The new insight in this study is that the algorithm developments can be applied for mangrove chlorophyll-a content, biomass and carbon content estimation using any optical satellite data based on its relevant spectral range. This algorithm development is an open approach method based on highest correlation coefficient on regression equation of the field and the satellite spectral value. The algorithms resulted from this study can be applied over wide and in any area in the tropics.","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":" ","pages":""},"PeriodicalIF":0.7000,"publicationDate":"2022-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"ALGORITHMS DEVELOPMENT OF THE FIELD MANGROVE CHLOROPHYLL-a BIOMASS, CARBON BASED ON SENTINEL-2A DATA AT CAWAN ISLAND, SUMATERA, INDONESIA\",\"authors\":\"Agus Hartoko, Aulia Rahim, N. Latifah\",\"doi\":\"10.21163/gt_2022.172.11\",\"DOIUrl\":null,\"url\":null,\"abstract\":\": The study develop of algorithms for the tropical mangrove chlorophyll-a, biomass and carbon based on the field data measurements at Cawan Island Sumatera Indonesia and Sentinel-2A satellite data. Samples of mangrove leaf were used for chlorophylla-a measurements using spectrometry method. Field sampling data using purposive sampling method. Data of mangrove tree diameter at breast height (DBH) was processed using allometric equation to estimate the mangrove biomass and carbon content. Algorithms were developed after performing a series of polynomial regressions of field and Sentinel-2A satellite data and then select the highest correlation coefficient. The dominant mangrove is Rhizophora apiculata . The field mangrove leaf chlorophyll-a content ranged from 14.03-15.77 mg.ml - 3 , while the estimated chlorophyll-a from algorithm is in the range of 13.714-16 mg.ml -3 . Calculated field mangrove biomass is in the range of 66.31-85.05 tons.ha -1 , while the value from algorithms is in the range of 51-90 tons.ha -1 . The highest biomass and carbon storage is in the trunks. This study produces the algorithm of mangrove leaf chlorophylll-a = 0.0002((B 4 + B 2 )/2) 2 – 0.057((B 4 + B 2 )/2) + 16.79, with RMSE of 0.072 mg.m -3 . Algorithm for mangrove biomass = 24.69(B 4 /Band 2 ) 2 - 47.41(B 4 /B 2 ) + 36.06, with RMSE of 0.337 tons/0.2ha and algorithm for mangrove carbon = 10.071(B 4 /B 2 ) 2 – 23.159(B 4 /B 2 ) + 44.233; with RMSE of 0.235 tonsC/0.2ha. The new insight in this study is that the algorithm developments can be applied for mangrove chlorophyll-a content, biomass and carbon content estimation using any optical satellite data based on its relevant spectral range. This algorithm development is an open approach method based on highest correlation coefficient on regression equation of the field and the satellite spectral value. The algorithms resulted from this study can be applied over wide and in any area in the tropics.\",\"PeriodicalId\":45100,\"journal\":{\"name\":\"Geographia Technica\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2022-10-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Geographia Technica\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21163/gt_2022.172.11\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"GEOGRAPHY, PHYSICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geographia Technica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21163/gt_2022.172.11","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GEOGRAPHY, PHYSICAL","Score":null,"Total":0}
ALGORITHMS DEVELOPMENT OF THE FIELD MANGROVE CHLOROPHYLL-a BIOMASS, CARBON BASED ON SENTINEL-2A DATA AT CAWAN ISLAND, SUMATERA, INDONESIA
: The study develop of algorithms for the tropical mangrove chlorophyll-a, biomass and carbon based on the field data measurements at Cawan Island Sumatera Indonesia and Sentinel-2A satellite data. Samples of mangrove leaf were used for chlorophylla-a measurements using spectrometry method. Field sampling data using purposive sampling method. Data of mangrove tree diameter at breast height (DBH) was processed using allometric equation to estimate the mangrove biomass and carbon content. Algorithms were developed after performing a series of polynomial regressions of field and Sentinel-2A satellite data and then select the highest correlation coefficient. The dominant mangrove is Rhizophora apiculata . The field mangrove leaf chlorophyll-a content ranged from 14.03-15.77 mg.ml - 3 , while the estimated chlorophyll-a from algorithm is in the range of 13.714-16 mg.ml -3 . Calculated field mangrove biomass is in the range of 66.31-85.05 tons.ha -1 , while the value from algorithms is in the range of 51-90 tons.ha -1 . The highest biomass and carbon storage is in the trunks. This study produces the algorithm of mangrove leaf chlorophylll-a = 0.0002((B 4 + B 2 )/2) 2 – 0.057((B 4 + B 2 )/2) + 16.79, with RMSE of 0.072 mg.m -3 . Algorithm for mangrove biomass = 24.69(B 4 /Band 2 ) 2 - 47.41(B 4 /B 2 ) + 36.06, with RMSE of 0.337 tons/0.2ha and algorithm for mangrove carbon = 10.071(B 4 /B 2 ) 2 – 23.159(B 4 /B 2 ) + 44.233; with RMSE of 0.235 tonsC/0.2ha. The new insight in this study is that the algorithm developments can be applied for mangrove chlorophyll-a content, biomass and carbon content estimation using any optical satellite data based on its relevant spectral range. This algorithm development is an open approach method based on highest correlation coefficient on regression equation of the field and the satellite spectral value. The algorithms resulted from this study can be applied over wide and in any area in the tropics.
期刊介绍:
Geographia Technica is a journal devoted to the publication of all papers on all aspects of the use of technical and quantitative methods in geographical research. It aims at presenting its readers with the latest developments in G.I.S technology, mathematical methods applicable to any field of geography, territorial micro-scalar and laboratory experiments, and the latest developments induced by the measurement techniques to the geographical research. Geographia Technica is dedicated to all those who understand that nowadays every field of geography can only be described by specific numerical values, variables both oftime and space which require the sort of numerical analysis only possible with the aid of technical and quantitative methods offered by powerful computers and dedicated software. Our understanding of Geographia Technica expands the concept of technical methods applied to geography to its broadest sense and for that, papers of different interests such as: G.l.S, Spatial Analysis, Remote Sensing, Cartography or Geostatistics as well as papers which, by promoting the above mentioned directions bring a technical approach in the fields of hydrology, climatology, geomorphology, human geography territorial planning are more than welcomed provided they are of sufficient wide interest and relevance.