LEADER 03362nam 2200493z- 450 001 9910557874703321 005 20230221133105.0 035 $a(CKB)5400000000048089 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/80431 035 $a(EXLCZ)995400000000048089 100 $a20202204d2015 |y 0 101 0 $aslv 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aUporaba lidarskih podatkov za klasifikacijo pokrovnosti 210 $aLjubljana$cZRC SAZU, Zalo?ba ZRC$d2015 215 $a1 electronic resource (113 p.) 225 1 $aProstor, kraj, ?as$v6 311 $a961-254-755-6 330 $aThe book presents a method to create a land cover map from lidar data (elevation, intensity and standard deviation of height). The intensity of the observed object depends on many factors and is therefore not easy to interpret. With careful study of the problem and implementing various improvements we managed to distinctively classify categories of grass, agricultural fields and asphalt. We used standard deviation of height to differentiate trees and buildings, because this was not possible using intensity data alone. On the basis of independent lidar data a high quality three dimensional land cover map of local area has been successfully generated. It distinguishes five basic categories, although more detailed sub-categories could be introduced if necessary. Once the methodology is determined, products can be generated fully automatically, with minimal effort and costs. The resulting maps are of very high positional and thematic accuracy with numerous advantages for local studies. 330 $aKnjiga opisuje postopek izdelave karte pokrovnosti iz podatkov lidarskega snemanja, kot so vi?ina, intenziteta in standardni odklon vi?ine. Intenziteta opazovanega objekta je odvisna od vrste dejavnikov in zato te?avna za interpretacijo. Po njeni preu?itvi in nekaterih izbolj?avah smo zelo dobro razlo?ili kategorije pokrovnosti trava, njive in asfalt, za razlo?itev dreves in stavb pa smo morali uporabiti ?e standardni odklon vi?in. Na osnovi samostojnih lidarskih podatkov smo uspeli izdelati kakovostno karto pokrovnosti krajevnega obmo?ja, ki lo?i pet osnovnih kategorij, po potrebi pa jih lahko lo?imo tudi ve?. Ko je postopek izdelave karte znan, lahko karto izdelamo povsem samodejno, z minimalnim naporom in stro?ki. Pri tem dobimo karto zelo dobre polo?ajne in tematske natan?nosti, s ?tevilnimi prednostmi za krajevne ?tudije. 606 $aGeographical information systems (GIS) & remote sensing$2bicssc 610 $aaerial laser scanning 610 $acoverage 610 $aintensity 610 $aland cover 610 $alidar 610 $aremote sensing 610 $aSlovenia 610 $adaljinsko zaznavanje 610 $aintenziteta 610 $apokrovnost 610 $apokrovnost tal 610 $aSlovenija 610 $azra?no lasersko skeniranje 615 7$aGeographical information systems (GIS) & remote sensing 700 $a?vab Lenar?i?$b Andreja$4auth$01302188 702 $aO?tir$b Kri?tof$4auth 906 $aBOOK 912 $a9910557874703321 996 $aUporaba lidarskih podatkov za klasifikacijo pokrovnosti$93026226 997 $aUNINA LEADER 01437nam 2200385 450 001 9910437241003321 005 20230414140004.0 010 $a1-7281-4146-X 035 $a(CKB)5590000000432041 035 $a(NjHacI)995590000000432041 035 $a(EXLCZ)995590000000432041 100 $a20230414d2020 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$a2020 IEEE 6th International Conference on Collaboration and Internet Computing $eCIC 2020 : proceedings : virtual conference, 1-3 December 2020 /$fIEEE 210 1$aPiscataway, New Jersey :$cIEEE,$d[2020] 210 4$dİ2020 215 $a1 online resource (191 pages) $cillustrations 311 $a1-7281-8542-4 330 $aThe conference accepts papers broadly related to collaboration systems, applications and networking internet technologies, platforms and services. 517 $a2020 IEEE 6th International Conference on Collaboration and Internet Computing 606 $aInternet$vCongresses 606 $aTeams in the workplace$vCongresses 615 0$aInternet 615 0$aTeams in the workplace 676 $a004.678 801 0$bNjHacI 801 1$bNjHacl 906 $aPROCEEDING 912 $a9910437241003321 996 $a2020 IEEE 6th International Conference on Collaboration and Internet Computing$93089287 997 $aUNINA LEADER 01972oam 2200613 450 001 9910705412603321 005 20170523143025.0 035 $a(CKB)5470000002451265 035 $a(OCoLC)891572319$z(OCoLC)692062281 035 $a(OCoLC)995470000002451265 035 $a(EXLCZ)995470000002451265 100 $a20140929d1931 ua 0 101 0 $aeng 135 $aurmn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 14$aThe Kaiparowits region $ea geographic and geologic reconnaissance of part of Utah and Arizona /$fby Herbert E. Gregory and Raymond C. Moore 210 1$aWashington :$cUnited States Department of the Interior, Geological Survey,$d1931. 215 $a1 online resource (vii, 161 pages) $cillustrations, maps +$e3 plates 225 1 $aProfessional paper ;$v164 300 $aTitle from title screen (viewed September 22, 2014). 320 $aIncludes bibliographical references and index. 517 $aKaiparowits region 606 $aGeology$zArizona 606 $aGeology$zUtah 606 $aPhysical geography$zArizona 606 $aPhysical geography$zUtah 606 $aGeology$2fast 606 $aPhysical geography$2fast 607 $aKaiparowits Plateau (Utah) 607 $aArizona$2fast 607 $aUtah$2fast 615 0$aGeology 615 0$aGeology 615 0$aPhysical geography 615 0$aPhysical geography 615 7$aGeology. 615 7$aPhysical geography. 700 $aGregory$b Herbert E$g(Herbert Ernest),$f1869-1952,$0129586 702 $aMoore$b Raymond C$g(Raymond Cecil),$f1892-1974, 712 02$aGeological Survey (U.S.), 801 0$bCOP 801 1$bCOP 801 2$bOCLCO 801 2$bOCLCE 801 2$bOCLCF 801 2$bTRAAL 801 2$bOCLCO 801 2$bGPO 906 $aBOOK 912 $a9910705412603321 996 $aThe Kaiparowits region$93529448 997 $aUNINA