Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Evrendilek, F., Karakaya, N. (2015) Spatiotemporal modeling of saturated dissolved oxygen through regressions after wavelet denoising of remotely and proximally sensed data. Earth Science Informatics, 8 (1) 247-254 doi:10.1007/s12145-014-0148-4

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleSpatiotemporal modeling of saturated dissolved oxygen through regressions after wavelet denoising of remotely and proximally sensed data
JournalEarth Science Informatics
AuthorsEvrendilek, F.Author
Karakaya, N.Author
Year2015 (March)Volume8
Issue1
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1007/s12145-014-0148-4Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID729609Long-form Identifiermindat:1:5:729609:7
GUID0
Full ReferenceEvrendilek, F., Karakaya, N. (2015) Spatiotemporal modeling of saturated dissolved oxygen through regressions after wavelet denoising of remotely and proximally sensed data. Earth Science Informatics, 8 (1) 247-254 doi:10.1007/s12145-014-0148-4
Plain TextEvrendilek, F., Karakaya, N. (2015) Spatiotemporal modeling of saturated dissolved oxygen through regressions after wavelet denoising of remotely and proximally sensed data. Earth Science Informatics, 8 (1) 247-254 doi:10.1007/s12145-014-0148-4
In(2015, March) Earth Science Informatics Vol. 8 (1) Springer Science and Business Media LLC

See Also

These are possibly similar items as determined by title/reference text matching only.

Evrendilek, F., Karakaya, N. (2014) Regression model-based predictions of diel, diurnal and nocturnal dissolved oxygen dynamics after wavelet denoising of noisy time series. Physica A: Statistical Mechanics and its Applications, 404. 8-15 doi:10.1016/j.physa.2014.02.062
Chinnasamy, Pennan, Sunde, Michael G. (2016) Improving spatiotemporal groundwater estimates after natural disasters using remotely sensed data – a case study of the Indian Ocean Tsunami. Earth Science Informatics, 9 (1) 101-111 doi:10.1007/s12145-015-0238-y
Matcı, Dilek Küçük, Avdan, Uğur (2022) Data-driven automatic labelling of land cover classes from remotely sensed images. Earth Science Informatics, 15 (2) 1059-1071 doi:10.1007/s12145-022-00788-6
Melville, Tricia, Wuddivira, Mark, Sutherland, Michael (2022) Geospatial modelling of rainfall erosivity in the humid tropics using remotely sensed data. Earth Science Informatics, 15 (2) 891-904 doi:10.1007/s12145-022-00773-z
Evrendilek, Fatih, Berberoglu, Suha, Karakaya, Nusret, Cilek, Ahmet, Aslan, Guler, Gungor, Kerem (2011) Historical spatiotemporal analysis of land-use/land-cover changes and carbon budget in a temperate peatland (Turkey) using remotely sensed data. Applied Geography, 31 (3). 1166-1172 doi:10.1016/j.apgeog.2011.03.007
Gallagher, James, Orcutt, John, Simpson, Pauline, Wright, Dawn, Pearlman, Jay, Raymond, Lisa (2015) Facilitating open exchange of data and information. Earth Science Informatics, 8 (4) 721-739 doi:10.1007/s12145-014-0202-2
Ji, Peng, Piasecki, Michael, Lovell, Rachel (2015) EnvThs: a controlled vocabulary service application for environmental data. Earth Science Informatics, 8 (1) 37-50 doi:10.1007/s12145-014-0187-x
Jalalkamali, Amir (2015) Using of hybrid fuzzy models to predict spatiotemporal groundwater quality parameters. Earth Science Informatics, 8 (4) 885-894 doi:10.1007/s12145-015-0222-6
Bai, Luyi, Cao, Xingru, Jia, Weijia (2018) Uncertain spatiotemporal data modeling and algebraic operations based on XML. Earth Science Informatics, 11 (1) 109-127 doi:10.1007/s12145-017-0322-6
Naanjam, Rana, Farnood Ahmadi, Farshid (2024) An improved self-training network for building and road extraction in urban areas by integrating optical and radar remotely sensed data. Earth Science Informatics, 17 (3) 2159-2176 doi:10.1007/s12145-024-01270-1
Ebadi, Ladan, Shafri, Helmi Z. M. (2015) A stable and accurate wavelet-based method for noise reduction from hyperspectral vegetation spectrum. Earth Science Informatics, 8 (2) 411-425 doi:10.1007/s12145-014-0168-0
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are © OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: August 31, 2025 01:48:10
Go to top of page