{"title":"地中海地区Case-2水体遥感营养状态指数推导","authors":"C. Papoutsa, E. Akylas, D. Hadjimitsis","doi":"10.2478/s13533-012-0161-4","DOIUrl":null,"url":null,"abstract":"The main goal of this study is the derivation of Carlson’s Trophic State Index (TSI) through the remote sensing of four different Case-2 waters in the Mediterranean region such as Cyprus and Greece. TSISD is derived through extensive field ground campaign of Secchi Disk Depth measurements for the Asprokremmos Dam, located in Paphos District in Cyprus; Alyki Salt Lake, located in Larnaca District in Cyprus; and in Karla Lake, located in Volos District in Greece; and finally to three coastal water areas in the Limassol coastal area. Several regression models have been applied in order to develop the best regression model between the TSISD and in-band reflectance values for Landsat TM/ETM derived from spectroradiometric measurements using a GER-1500 field spectroradiometer over the main case study area in Asprokremmos Dam in Cyprus. Finally, we apply several regression models for Asprokremmos Dam for retrieving the suitable Landsat TM/ETM band or band combinations (obtained from field spectroradiometric measurements) in which TSISD can be determined. Indeed, the best regression model has been obtained by correlating ‘TSI Versus Band2/Band3’, with R2=0.89. All field TSISD and in-band reflectance values from the four different water bodies have been used to develop the best fitted model for the established TSISD Versus Band2/Band3 model. We find that the exponential regression model provides the best fitted equation over the four different water bodies.","PeriodicalId":49092,"journal":{"name":"Central European Journal of Geosciences","volume":"248 1","pages":"67-78"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Trophic State Index derivation through the remote sensing of Case-2 water bodies in the Mediterranean region\",\"authors\":\"C. Papoutsa, E. Akylas, D. Hadjimitsis\",\"doi\":\"10.2478/s13533-012-0161-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The main goal of this study is the derivation of Carlson’s Trophic State Index (TSI) through the remote sensing of four different Case-2 waters in the Mediterranean region such as Cyprus and Greece. TSISD is derived through extensive field ground campaign of Secchi Disk Depth measurements for the Asprokremmos Dam, located in Paphos District in Cyprus; Alyki Salt Lake, located in Larnaca District in Cyprus; and in Karla Lake, located in Volos District in Greece; and finally to three coastal water areas in the Limassol coastal area. Several regression models have been applied in order to develop the best regression model between the TSISD and in-band reflectance values for Landsat TM/ETM derived from spectroradiometric measurements using a GER-1500 field spectroradiometer over the main case study area in Asprokremmos Dam in Cyprus. Finally, we apply several regression models for Asprokremmos Dam for retrieving the suitable Landsat TM/ETM band or band combinations (obtained from field spectroradiometric measurements) in which TSISD can be determined. Indeed, the best regression model has been obtained by correlating ‘TSI Versus Band2/Band3’, with R2=0.89. All field TSISD and in-band reflectance values from the four different water bodies have been used to develop the best fitted model for the established TSISD Versus Band2/Band3 model. We find that the exponential regression model provides the best fitted equation over the four different water bodies.\",\"PeriodicalId\":49092,\"journal\":{\"name\":\"Central European Journal of Geosciences\",\"volume\":\"248 1\",\"pages\":\"67-78\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-05-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Central European Journal of Geosciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2478/s13533-012-0161-4\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Central European Journal of Geosciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/s13533-012-0161-4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
摘要
本研究的主要目标是通过对地中海地区(如塞浦路斯和希腊)四个不同的Case-2水域的遥感得出卡尔森营养状态指数(TSI)。TSISD是通过对位于塞浦路斯帕福斯区的Asprokremmos大坝的Secchi圆盘深度进行广泛的实地测量得出的;Alyki盐湖,位于塞浦路斯拉纳卡区;以及位于希腊沃罗斯区的卡拉湖;最后是利马索尔沿海地区的三个沿海水域。为了建立TSISD与Landsat TM/ETM波段内反射率值之间的最佳回归模型,已经应用了几种回归模型,这些反射率值是利用GER-1500野外光谱辐射计在塞浦路斯Asprokremmos大坝主要案例研究区域进行的光谱辐射测量得出的。最后,我们应用Asprokremmos Dam的几种回归模型来检索适合的Landsat TM/ETM波段或波段组合(由现场光谱辐射测量获得),其中可以确定TSISD。事实上,通过将“TSI vs . Band2/Band3”进行关联得到了最好的回归模型,R2=0.89。利用四个不同水体的所有现场TSISD和带内反射率值,为已建立的TSISD vs . Band2/Band3模型建立了最佳拟合模型。我们发现指数回归模型提供了四种不同水体的最佳拟合方程。
Trophic State Index derivation through the remote sensing of Case-2 water bodies in the Mediterranean region
The main goal of this study is the derivation of Carlson’s Trophic State Index (TSI) through the remote sensing of four different Case-2 waters in the Mediterranean region such as Cyprus and Greece. TSISD is derived through extensive field ground campaign of Secchi Disk Depth measurements for the Asprokremmos Dam, located in Paphos District in Cyprus; Alyki Salt Lake, located in Larnaca District in Cyprus; and in Karla Lake, located in Volos District in Greece; and finally to three coastal water areas in the Limassol coastal area. Several regression models have been applied in order to develop the best regression model between the TSISD and in-band reflectance values for Landsat TM/ETM derived from spectroradiometric measurements using a GER-1500 field spectroradiometer over the main case study area in Asprokremmos Dam in Cyprus. Finally, we apply several regression models for Asprokremmos Dam for retrieving the suitable Landsat TM/ETM band or band combinations (obtained from field spectroradiometric measurements) in which TSISD can be determined. Indeed, the best regression model has been obtained by correlating ‘TSI Versus Band2/Band3’, with R2=0.89. All field TSISD and in-band reflectance values from the four different water bodies have been used to develop the best fitted model for the established TSISD Versus Band2/Band3 model. We find that the exponential regression model provides the best fitted equation over the four different water bodies.