Recipes for the Derivation of Water Quality Parameters Using the High-Spatial-Resolution Data from Sensors on Board Sentinel-2A,Sentinel-2B,Landsat-5,Landsat-7,Landsat-8,and Landsat-9 Satellites  

在线阅读下载全文

作  者:Juliana Tavora Binbin Jiang Thomas Kiffney Guillaume Bourdin Patrick Clifton Gray Lino Sander de Carvalho Gabriel Hesketh Kristin M.Schild Luiz Faria de Sousa Damian CBrady Emmanuel Boss 

机构地区:[1]Faculty of Geo-Information Science and Earth Observation(ITC),University of Twente,PO Box 217,7500 AE Enschede,The Netherlands [2]State Key Laboratory of Marine Geology,Tongji University,Shanghai,China [3]School of Marine Sciences,University of Maine,Orono,ME,USA [4]Nicholas School of the Environment,Duke University Marine Lab,Beaufort,NC,USA [5]Departamento de Meteorologia,Universidade Federal do Rio de Janeiro,Rio de Janeiro,Brazil [6]Department of Marine Sciences,University of Southern Mississippi,Ocean Spring,MS,USA [7]School of Earth and Climate Sciences,University of Maine,Orono,ME,USA [8]Climate Change Institute,University of Maine,Orono,ME,USA

出  处:《Journal of Remote Sensing》2023年第1期213-230,共18页国际遥感学报(英文)

基  金:NASA for Future Investigators in NASA Earth and Space Science and Technology(FINESST)funding for P.G.(80NSSC19K1366)and G.B.(80NSSC20K1641);funding for K.M.S.to conduct the Svalbard fieldwork(NNX10AG22G);National Sea Grant NOAA Award NA18OAR4170330 for providing E.B.,T.K.;D.C.B.support for aquaculture applications of high-resolution remote sensing products;Additional support for T.K.and D.C.B.came from USDA National Institute of Food and Agriculture(project number ME0-830-31000-004-00D);the China Scholarship Council(no.CSC201906260052).

摘  要:Satellites have provided high-resolution(<100 m)water color(i.e.,remote sensing reflectance)and thermal emission imagery of aquatic environments since the early 1980s;however,global operational water quality products based on these data are not readily available(e.g.,temperature,chlorophyll-a,turbidity,and suspended particle matter).Currently,because of the postprocessing required,only users with expressive experience can exploit these data,limiting their utility.Here,we provide paths(recipes)for the nonspecialist to access and derive water quality products,along with examples of applications,from sensors on board Landsat-5,Landsat-7,Landsat-8,Landsat-9,Sentinel-2A,and Sentinel-2B.We emphasize that the only assured metric for success in product derivation and the assigning of uncertainties to them is via validation with in situ data.We hope that this contribution will motivate nonspecialists to use publicly available high-resolution satellite data to study new processes and monitor a variety of novel environments that have received little attention to date.

关 键 词:environments SENTINEL Spatial 

分 类 号:TP212[自动化与计算机技术—检测技术与自动化装置]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象