LEADER 02067oam 2200517 450 001 9910706227603321 005 20171026113433.0 035 $a(CKB)5470000002456164 035 $a(OCoLC)891598727 035 $a(OCoLC)995470000002456164 035 $a(EXLCZ)995470000002456164 100 $a20140929d1967 ua 0 101 0 $aeng 135 $aurmn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aUpper Cretaceous gastropods from the Pierre Shale at Red Bird, Wyoming /$fby Norman F. Sohl 210 1$aWashington :$cUnited States Department of the Interior, Geological Survey,$d1967. 215 $a1 online resource (iv, B46 pages, 11 unnumbered pages of plates) $cillustrations 225 1 $aGeological Survey professional paper ;$v393-B 300 $aTitle from title screen (viewed September 29, 2014). 300 $a"Stratigraphy, paleontology, and sedimentation of a classic reference locality of the Pierre Shale." 300 $a"A discussion of the Pierre Shale gastropod fauna, including a description of 23 named species, occurring in the Red Bird section." 320 $aIncludes bibliographical references (pages B40-B42) and index. 517 3 $aDescriptive study of a classic reference locality of the Pierre Shale 606 $aGastropoda, Fossil$zWyoming$zNiobrara County 606 $aGastropoda, Fossil$zPierre Shale 606 $aPaleontology$yCretaceous 606 $aPaleontology$zWyoming$zNiobrara County 606 $aPaleontology$zPierre Shale 615 0$aGastropoda, Fossil 615 0$aGastropoda, Fossil 615 0$aPaleontology 615 0$aPaleontology 615 0$aPaleontology 700 $aSohl$b Norman F$g(Norman Frederick),$f1924-$01391529 712 02$aGeological Survey (U.S.), 801 0$bCOP 801 1$bCOP 801 2$bOCLCO 801 2$bGPO 906 $aBOOK 912 $a9910706227603321 996 $aUpper Cretaceous gastropods from the Pierre Shale at Red Bird, Wyoming$93469381 997 $aUNINA LEADER 02783nam 2200793z- 450 001 9910585940903321 005 20220812 035 $a(CKB)5600000000483073 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/91130 035 $a(oapen)doab91130 035 $a(EXLCZ)995600000000483073 100 $a20202208d2022 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aStatistical and Machine Learning Models for Remote Sensing Data Mining - Recent Advancements 210 $aBasel$cMDPI - Multidisciplinary Digital Publishing Institute$d2022 215 $a1 online resource (112 p.) 311 08$a3-0365-4592-1 311 08$a3-0365-4591-3 330 $aThis book is a reprint of the Special Issue entitled "Statistical and Machine Learning Models for Remote Sensing Data Mining - Recent Advancements" that was published in Remote Sensing, MDPI. It provides insights into both core technical challenges and some selected critical applications of satellite remote sensing image analytics. 606 $aEnvironmental economics$2bicssc 606 $aResearch and information: general$2bicssc 610 $aAOD recovery 610 $aCNN 610 $aconditional random fields 610 $aCYGNSS 610 $aDirichlet process 610 $aEast Asia 610 $afeature-level fusion 610 $aGamma distribution 610 $aGNSS-R 610 $ahigh wind speed inversion 610 $ainfinite mixture models 610 $aknowledge distillation 610 $aLightGBM 610 $an/a 610 $anoisy labels 610 $aoil spill detection 610 $aonline setting 610 $aoptical image 610 $aPCA-SVR 610 $apolarized SAR 610 $arandom forest 610 $aremote sensing images 610 $ascene classification 610 $aspatiotemporal weight interpolation 610 $aSVR 610 $asynthetic aperture radar images 610 $ateacher-student 610 $avariational inference 615 7$aEnvironmental economics 615 7$aResearch and information: general 700 $aDas$b Monidipa$4edt$0976150 702 $aGhosh$b Soumya K$4edt 702 $aChowdary$b V. M$4edt 702 $aMitra$b Pabitra$4edt 702 $aRijal$b Santosh$4edt 702 $aDas$b Monidipa$4oth 702 $aGhosh$b Soumya K$4oth 702 $aChowdary$b V. M$4oth 702 $aMitra$b Pabitra$4oth 702 $aRijal$b Santosh$4oth 906 $aBOOK 912 $a9910585940903321 996 $aStatistical and Machine Learning Models for Remote Sensing Data Mining - Recent Advancements$93035979 997 $aUNINA