TY  - CONF
AU  - Đokić, Mrđan
AU  - Manić, Miloš
AU  - Đorđević, Milan
AU  - Gocić, Milena
AU  - Čupić, Aleksandar
AU  - Jović, Mihajlo
AU  - Dragović, Ranko
AU  - Gajić, Boško
AU  - Smičiklas, Ivana
AU  - Dragović, Snežana
PY  - 2023
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/12343
AB  - The gully erosion is one of the most significant land degradation processes. Although gully erosion significantly threatens agricultural productivity and natural ecosystems, European land management strategies frequently need more reliable data on environmental conditions governing this process. This study presents a methodology that integrates remote sensing and nuclear techniques for examining gully erosion (Đokić et al., 2023). It introduces a novel approach to erosion research by employing 360-degree camera photogrammetry to characterize gullies morphometrically. The main objectives of this approach are to evaluate the applicability of unmanned aerial vehicles and terrestrial photogrammetry for modeling gullies, to study small-scale erosion processes within gullies, compare erosion intensity between adjacent gullies, and determine the most effective and cost-efficient method for monitoring gullies. A total of 39 soil samples were taken in three studied gullies. The results revealed an average soil redistribution rate of 16.2 t ha−1 yr−1 and coefficients of variation of 32%, 59%, and 91% for the gullies. The estimated erosion rate varies from a minimum of 0.1 t ha−1 yr−1 to a maximum of 34.3 t ha−1 yr−1. Soil deposition was identified at only two sampling sites, 1.1 and 2 t ha−1 yr−1. Highly detailed 3D models of the gullies were created using 360-degree photogrammetry. The micro-relief obtained through modeling proved to be an essential aspect of advanced erosion research.
PB  - Belgrade : University,Faculty of Civil Engineering : University, Institute of Physics : SASA, Geographical Institute „Jovan Cvijić“
C3  - GeosciRA23 : International Conference
on Recent Trends in Geoscience Research and Applications : Book of abstracts
T1  - Utilization of remote sensing and nuclear techniques for detailed modeling and quantitative assessment of gully erosion within the forested area of the Malčanska river basin, eastern Serbia
SP  - 88
EP  - 89
UR  - https://hdl.handle.net/21.15107/rcub_vinar_12343
ER  - 

@conference{
author = "Đokić, Mrđan and Manić, Miloš and Đorđević, Milan and Gocić, Milena and Čupić, Aleksandar and Jović, Mihajlo and Dragović, Ranko and Gajić, Boško and Smičiklas, Ivana and Dragović, Snežana",
year = "2023",
abstract = "The gully erosion is one of the most significant land degradation processes. Although gully erosion significantly threatens agricultural productivity and natural ecosystems, European land management strategies frequently need more reliable data on environmental conditions governing this process. This study presents a methodology that integrates remote sensing and nuclear techniques for examining gully erosion (Đokić et al., 2023). It introduces a novel approach to erosion research by employing 360-degree camera photogrammetry to characterize gullies morphometrically. The main objectives of this approach are to evaluate the applicability of unmanned aerial vehicles and terrestrial photogrammetry for modeling gullies, to study small-scale erosion processes within gullies, compare erosion intensity between adjacent gullies, and determine the most effective and cost-efficient method for monitoring gullies. A total of 39 soil samples were taken in three studied gullies. The results revealed an average soil redistribution rate of 16.2 t ha−1 yr−1 and coefficients of variation of 32%, 59%, and 91% for the gullies. The estimated erosion rate varies from a minimum of 0.1 t ha−1 yr−1 to a maximum of 34.3 t ha−1 yr−1. Soil deposition was identified at only two sampling sites, 1.1 and 2 t ha−1 yr−1. Highly detailed 3D models of the gullies were created using 360-degree photogrammetry. The micro-relief obtained through modeling proved to be an essential aspect of advanced erosion research.",
publisher = "Belgrade : University,Faculty of Civil Engineering : University, Institute of Physics : SASA, Geographical Institute „Jovan Cvijić“",
journal = "GeosciRA23 : International Conference
on Recent Trends in Geoscience Research and Applications : Book of abstracts",
title = "Utilization of remote sensing and nuclear techniques for detailed modeling and quantitative assessment of gully erosion within the forested area of the Malčanska river basin, eastern Serbia",
pages = "88-89",
url = "https://hdl.handle.net/21.15107/rcub_vinar_12343"
}

Đokić, M., Manić, M., Đorđević, M., Gocić, M., Čupić, A., Jović, M., Dragović, R., Gajić, B., Smičiklas, I.,& Dragović, S.. (2023). Utilization of remote sensing and nuclear techniques for detailed modeling and quantitative assessment of gully erosion within the forested area of the Malčanska river basin, eastern Serbia. in GeosciRA23 : International Conference
on Recent Trends in Geoscience Research and Applications : Book of abstracts
Belgrade : University,Faculty of Civil Engineering : University, Institute of Physics : SASA, Geographical Institute „Jovan Cvijić“., 88-89.
https://hdl.handle.net/21.15107/rcub_vinar_12343

Đokić M, Manić M, Đorđević M, Gocić M, Čupić A, Jović M, Dragović R, Gajić B, Smičiklas I, Dragović S. Utilization of remote sensing and nuclear techniques for detailed modeling and quantitative assessment of gully erosion within the forested area of the Malčanska river basin, eastern Serbia. in GeosciRA23 : International Conference
on Recent Trends in Geoscience Research and Applications : Book of abstracts. 2023;:88-89.
https://hdl.handle.net/21.15107/rcub_vinar_12343 .

Đokić, Mrđan, Manić, Miloš, Đorđević, Milan, Gocić, Milena, Čupić, Aleksandar, Jović, Mihajlo, Dragović, Ranko, Gajić, Boško, Smičiklas, Ivana, Dragović, Snežana, "Utilization of remote sensing and nuclear techniques for detailed modeling and quantitative assessment of gully erosion within the forested area of the Malčanska river basin, eastern Serbia" in GeosciRA23 : International Conference
on Recent Trends in Geoscience Research and Applications : Book of abstracts (2023):88-89,
https://hdl.handle.net/21.15107/rcub_vinar_12343 .