Hendrata Wibisana, Bangun Muljo Sukotjo, U. Lasminto
{"title":"基于Terra MODIS卫星影像资料的沿海地区叶绿素a浓度与海温相关性分析及制图","authors":"Hendrata Wibisana, Bangun Muljo Sukotjo, U. Lasminto","doi":"10.7454/MST.V25I1.3810","DOIUrl":null,"url":null,"abstract":"Ecosystems in aquatic environments are distinct from ecosystems on land. Changes that occur in ecosystems in aquatic environments affect the lives of biota in these waters, including the fish used as a food source in fishing communities in coastal areas. This study aims to determine the role of remote sensing in mapping and analyzing the relationship between the parameters of sea surface temperature and chlorophyll-a concentrations on the coast. The correlation of sea surface temperature with chlorophyll-a concentrations is modeled via linear regression. An analysis of variance test is performed to establish the suitability of the temperature data for the data on chlorophyll-a concentrations and to map the concentration distribution with the SeaDAS program. Results revealed a linear Chlor (mg/m) = 63,695 − 2,014T (°C) with an R coefficient value of 0.325. This work concludes that Terra MODIS satellite imagery can be used to predict the distribution of chlorophyll-a concentrations on the coast, although its results require further comparison with those of other sensors.","PeriodicalId":42980,"journal":{"name":"Makara Journal of Technology","volume":" ","pages":""},"PeriodicalIF":0.2000,"publicationDate":"2021-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Analysis of Correlation and Mapping of Chlorophyll-a Concentrations and Sea Surface Temperatures in Coastal Areas Based on Terra MODIS Satellite Image Data\",\"authors\":\"Hendrata Wibisana, Bangun Muljo Sukotjo, U. Lasminto\",\"doi\":\"10.7454/MST.V25I1.3810\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Ecosystems in aquatic environments are distinct from ecosystems on land. Changes that occur in ecosystems in aquatic environments affect the lives of biota in these waters, including the fish used as a food source in fishing communities in coastal areas. This study aims to determine the role of remote sensing in mapping and analyzing the relationship between the parameters of sea surface temperature and chlorophyll-a concentrations on the coast. The correlation of sea surface temperature with chlorophyll-a concentrations is modeled via linear regression. An analysis of variance test is performed to establish the suitability of the temperature data for the data on chlorophyll-a concentrations and to map the concentration distribution with the SeaDAS program. Results revealed a linear Chlor (mg/m) = 63,695 − 2,014T (°C) with an R coefficient value of 0.325. This work concludes that Terra MODIS satellite imagery can be used to predict the distribution of chlorophyll-a concentrations on the coast, although its results require further comparison with those of other sensors.\",\"PeriodicalId\":42980,\"journal\":{\"name\":\"Makara Journal of Technology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.2000,\"publicationDate\":\"2021-04-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Makara Journal of Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.7454/MST.V25I1.3810\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Makara Journal of Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7454/MST.V25I1.3810","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
Analysis of Correlation and Mapping of Chlorophyll-a Concentrations and Sea Surface Temperatures in Coastal Areas Based on Terra MODIS Satellite Image Data
Ecosystems in aquatic environments are distinct from ecosystems on land. Changes that occur in ecosystems in aquatic environments affect the lives of biota in these waters, including the fish used as a food source in fishing communities in coastal areas. This study aims to determine the role of remote sensing in mapping and analyzing the relationship between the parameters of sea surface temperature and chlorophyll-a concentrations on the coast. The correlation of sea surface temperature with chlorophyll-a concentrations is modeled via linear regression. An analysis of variance test is performed to establish the suitability of the temperature data for the data on chlorophyll-a concentrations and to map the concentration distribution with the SeaDAS program. Results revealed a linear Chlor (mg/m) = 63,695 − 2,014T (°C) with an R coefficient value of 0.325. This work concludes that Terra MODIS satellite imagery can be used to predict the distribution of chlorophyll-a concentrations on the coast, although its results require further comparison with those of other sensors.