Pregled bibliografske jedinice broj: 1257431
Validation of Allometric Remote Sensing Based Models for Pedunculate Oak Forests
Validation of Allometric Remote Sensing Based Models for Pedunculate Oak Forests // Book of Abstracts BIOSTAT 2021 - 25th Int. Scientific Symposium on Biometrics / Jazbec, Anamarija ; Pecina, Marija ; Sonicki, Zdrenko ; Šimić, Diana ; Vedriš, Mislav ; Sović, Slavica (ur.).
Zagreb: Hrvatsko biometrijsko društvo, 2021. str. 28-28 (predavanje, međunarodna recenzija, sažetak, znanstveni)
CROSBI ID: 1257431 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Validation of Allometric Remote Sensing Based
Models for Pedunculate Oak Forests
Autori
Tafro, Azra ; Jurjević, Luka ; Balenović, Ivan
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
Book of Abstracts BIOSTAT 2021 - 25th Int. Scientific Symposium on Biometrics
/ Jazbec, Anamarija ; Pecina, Marija ; Sonicki, Zdrenko ; Šimić, Diana ; Vedriš, Mislav ; Sović, Slavica - Zagreb : Hrvatsko biometrijsko društvo, 2021, 28-28
Skup
BIOSTAT 2021 - 25th International Scientific Symposium on Biometrics
Mjesto i datum
Poreč, Hrvatska, 08.09.2021. - 10.09.2021
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
remote sensing ; nonlinear regression ; log-linear regression ; validation
Sažetak
Light detection and ranging systems (LiDAR) that use laser light to measure distances are becoming increasingly popular in modeling and estimating forest attributes. By providing larger datasets than traditional field measurements they enable better model estimation, and modern computational methods allow for more complex models. However, there are currently no general guidelines for methods of testing and comparing the models. In this work, based on airborne LiDAR data and field measurements in lowland pedunculate oak forests of Pokupska basin, we provide a comprehensive overview of models and (cross-)validation methods and propose a possible best-practice standard in this setting.
Izvorni jezik
Engleski
Znanstvena područja
Matematika, Šumarstvo, Interdisciplinarne biotehničke znanosti
POVEZANOST RADA
Projekti:
IP-2016-06-7686 - Uporaba podataka daljinskih istraživanja dobivenih različitim 3D optičkim izvorima u izmjeri šuma (3D-FORINVENT) (Balenović, Ivan, HRZZ - 2016-06) ( CroRIS)
Ustanove:
Hrvatski šumarski institut, Jastrebarsko,
Fakultet šumarstva i drvne tehnologije
