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