TY  - JOUR
AU  - Đokić, Mrđan
AU  - Manić, Miloš
AU  - Đorđević, Milan
AU  - Gocić, Milena
AU  - Čupić, Aleksandar
AU  - Jović, Mihajlo D.
AU  - Dragović, Ranko M.
AU  - Gajić, Boško
AU  - Smičiklas, Ivana D.
AU  - Dragović, Snežana D.
PY  - 2023
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/11383
AB  - Gully erosion leads to the formation of deep and wide channels that increase the risk of soil loss, flooding, and
water pollution. In addition, this process reduces the productivity and viability of agricultural land and natural
ecosystems. Preventing gully erosion is critical for maintaining ecological balance and preserving natural resources in certain areas. This paper presents a methodology integrating remote sensing and nuclear techniques to
study gully erosion. The morphometric characterization of gullies using 360-degree camera photogrammetry was
introduced as a new method in erosion research. This approach aims to investigate the suitability of unmanned
aerial vehicle and terrestrial photogrammetry for modeling gullies, to study the variability of erosion processes in
gullies at a small scale, and to compare the differences in erosion intensity between nearby gullies. The study’s
objectives include identifying the effective and economical method for gullies monitoring and providing a
starting point for controlling and safeguarding gullies. Mainly erosion process was detected in the studied gullies,
while deposition was identified at only 2 out of 39 sampling locations. The results showed an average soil
redistribution rate of 16.2 t ha− 1 yr− 1 and coefficients of variation of 32%, 59%, and 91% for three investigated
gullies. It was determined that aerial photogrammetry methods were not practical under the conditions prevailing in the study area. Highly detailed 3D models of the gullies were created using 360-degree photogrammetry. It was confirmed that the micro-relief obtained by photogrammetric modeling is an essential contribution
to erosion research. The 360-degree camera photogrammetry serves as a reliable tool for analyzing the
morphology of gullies and, in perspective, tracking changes in gully systems over time or monitoring the
effectiveness of the applied protection measures.
T2  - Environmental Research
T1  - Remote sensing and nuclear techniques for high-resolution mapping and quantification of gully erosion in the highly erodible area of the Malčanska River Basin, Eastern Serbia
VL  - 235
SP  - 116679
DO  - 10.1016/j.envres.2023.116679
ER  - 

@article{
author = "Đokić, Mrđan and Manić, Miloš and Đorđević, Milan and Gocić, Milena and Čupić, Aleksandar and Jović, Mihajlo D. and Dragović, Ranko M. and Gajić, Boško and Smičiklas, Ivana D. and Dragović, Snežana D.",
year = "2023",
abstract = "Gully erosion leads to the formation of deep and wide channels that increase the risk of soil loss, flooding, and
water pollution. In addition, this process reduces the productivity and viability of agricultural land and natural
ecosystems. Preventing gully erosion is critical for maintaining ecological balance and preserving natural resources in certain areas. This paper presents a methodology integrating remote sensing and nuclear techniques to
study gully erosion. The morphometric characterization of gullies using 360-degree camera photogrammetry was
introduced as a new method in erosion research. This approach aims to investigate the suitability of unmanned
aerial vehicle and terrestrial photogrammetry for modeling gullies, to study the variability of erosion processes in
gullies at a small scale, and to compare the differences in erosion intensity between nearby gullies. The study’s
objectives include identifying the effective and economical method for gullies monitoring and providing a
starting point for controlling and safeguarding gullies. Mainly erosion process was detected in the studied gullies,
while deposition was identified at only 2 out of 39 sampling locations. The results showed an average soil
redistribution rate of 16.2 t ha− 1 yr− 1 and coefficients of variation of 32%, 59%, and 91% for three investigated
gullies. It was determined that aerial photogrammetry methods were not practical under the conditions prevailing in the study area. Highly detailed 3D models of the gullies were created using 360-degree photogrammetry. It was confirmed that the micro-relief obtained by photogrammetric modeling is an essential contribution
to erosion research. The 360-degree camera photogrammetry serves as a reliable tool for analyzing the
morphology of gullies and, in perspective, tracking changes in gully systems over time or monitoring the
effectiveness of the applied protection measures.",
journal = "Environmental Research",
title = "Remote sensing and nuclear techniques for high-resolution mapping and quantification of gully erosion in the highly erodible area of the Malčanska River Basin, Eastern Serbia",
volume = "235",
pages = "116679",
doi = "10.1016/j.envres.2023.116679"
}

Đokić, M., Manić, M., Đorđević, M., Gocić, M., Čupić, A., Jović, M. D., Dragović, R. M., Gajić, B., Smičiklas, I. D.,& Dragović, S. D.. (2023). Remote sensing and nuclear techniques for high-resolution mapping and quantification of gully erosion in the highly erodible area of the Malčanska River Basin, Eastern Serbia. in Environmental Research, 235, 116679.
https://doi.org/10.1016/j.envres.2023.116679

Đokić M, Manić M, Đorđević M, Gocić M, Čupić A, Jović MD, Dragović RM, Gajić B, Smičiklas ID, Dragović SD. Remote sensing and nuclear techniques for high-resolution mapping and quantification of gully erosion in the highly erodible area of the Malčanska River Basin, Eastern Serbia. in Environmental Research. 2023;235:116679.
doi:10.1016/j.envres.2023.116679 .

Đokić, Mrđan, Manić, Miloš, Đorđević, Milan, Gocić, Milena, Čupić, Aleksandar, Jović, Mihajlo D., Dragović, Ranko M., Gajić, Boško, Smičiklas, Ivana D., Dragović, Snežana D., "Remote sensing and nuclear techniques for high-resolution mapping and quantification of gully erosion in the highly erodible area of the Malčanska River Basin, Eastern Serbia" in Environmental Research, 235 (2023):116679,
https://doi.org/10.1016/j.envres.2023.116679 . .