03604nam 2200529z- 450 991055787470332120220401(CKB)5400000000048089(oapen)https://directory.doabooks.org/handle/20.500.12854/80431(oapen)80431(EXLCZ)99540000000004808920202204d2015 |y 0slvurmn|---annantxtrdacontentcrdamediacrrdacarrierUporaba lidarskih podatkov za klasifikacijo pokrovnostiLjubljanaZRC SAZU, ZalozÌŒba ZRC20151 electronic resource (113 p.)Prostor, kraj, čas6961-254-755-6 The 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.Knjiga opisuje postopek izdelave karte pokrovnosti iz podatkov lidarskega snemanja, kot so visÌŒina, intenziteta in standardni odklon visÌŒine. Intenziteta opazovanega objekta je odvisna od vrste dejavnikov in zato tezÌŒavna za interpretacijo. Po njeni preucÌŒitvi in nekaterih izboljsÌŒavah smo zelo dobro razlocÌŒili kategorije pokrovnosti trava, njive in asfalt, za razlocÌŒitev dreves in stavb pa smo morali uporabiti sÌŒe standardni odklon visÌŒin. Na osnovi samostojnih lidarskih podatkov smo uspeli izdelati kakovostno karto pokrovnosti krajevnega obmocÌŒja, ki locÌŒi pet osnovnih kategorij, po potrebi pa jih lahko locÌŒimo tudi vecÌŒ. Ko je postopek izdelave karte znan, lahko karto izdelamo povsem samodejno, z minimalnim naporom in strosÌŒki. Pri tem dobimo karto zelo dobre polozÌŒajne in tematske natancÌŒnosti, s sÌŒtevilnimi prednostmi za krajevne sÌŒtudije.Geographical information systems (GIS) & remote sensingbicsscGeographical information systems, geodata and remote sensingbicsscaerial laser scanningcoverageintensityland coverlidarremote sensingSloveniadaljinsko zaznavanjeintenzitetapokrovnostpokrovnost talSlovenijazračno lasersko skeniranjeGeographical information systems (GIS) & remote sensingGeographical information systems, geodata and remote sensingSÌŒvab LenarcÌŒicÌŒ AndrejaauthOsÌŒtir KrisÌŒtofauthBOOK9910557874703321Uporaba lidarskih podatkov za klasifikacijo pokrovnosti4540079UNINA