ВинаР - Репозиторијум Института за нуклеарне науке Винча
    • English
    • Српски
    • Српски (Serbia)
  • Српски (ћирилица) 
    • Енглески
    • Српски (ћирилица)
    • Српски (латиница)
  • Пријава
Преглед записа 
  •   ВинаР
  • Vinča
  • Radovi istraživača
  • Преглед записа
  •   ВинаР
  • Vinča
  • Radovi istraživača
  • Преглед записа
JavaScript is disabled for your browser. Some features of this site may not work without it.

Remote Sensing and Nuclear Techniques for Soil Erosion Research in Forest Areas: Case Study of the Crveni Potok Catchment

Само за регистроване кориснике
2022
Аутори
Manić, Miloš
Đorđević, Milan
Đokić, Mrđan
Dragović, Ranko M.
Kićović, Dušan
Đorđević, Dejan
Jović, Mihajlo D.
Smičiklas, Ivana D.
Dragović, Snežana D.
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документу
Апстракт
Hilly terrains characterized by the looseness of the surface soil layer and the slope of the topographic surface are subjected to diverse erosion processes, which could greatly impact forest management. An erosive process was identified along the unstable slopes in most of the Crveni potok catchment in the southeastern part of Serbia. The results of this study indicate two erosion types of variable intensity, dominated by weak and moderate erosion, while severe erosion is identified at several locations. Water pressure in the pores of loose soil in the Crveni potok catchment generates gully erosion in parts of the catchment that are geologically predisposed by the composition of the parent substrate. The paper discusses the factors influencing gully erosion, such as soil density, the slope of the topographic surface, rainfall (precipitation amount, annual distribution), and vegetation characteristics. The set of used methodologies, including remote sensing, nuclear, and geospatial ones..., provided an integrated assessment of factors affecting erosion in unstable forest areas. The soil erosion rates in the study area are estimated from inventories of fallout radionuclide 137 Cs using conversion models. Airborne photogrammetry, terrestrial Structure-from-Motion 360-degree camera photogrammetry, and Terrestrial LiDAR Scanning (TLS) are used to model complex geomorphological features of forest terrain. These techniques are found to be convenient for the quantification of the existing state of erosion (length, width, volume, and density of the gully systems) in the forest gullies. The remote sensing techniques provided an insight into the physiographic characteristics of the studied area important for determining its parts affected by erosion. The models obtained using different techniques are compared, techniques are evaluated, and their advantages and disadvantages are pointed out. This approach enables the identification of priority targets for soil conservation and site-specific remediation measures to foster sustainable forest management.

Кључне речи:
360-degree camera / DEM / forest management / gully / nuclear techniques / photogrammetry / soil erosion / terrestrial LIDAR
Извор:
Frontiers in Environmental Science, 2022, 10
Финансирање / пројекти:
  • Министарство науке, технолошког развоја и иновација Републике Србије, институционално финансирање - 200017 (Универзитет у Београду, Институт за нуклеарне науке Винча, Београд-Винча) (RS-MESTD-inst-2020-200017)
  • Министарство науке, технолошког развоја и иновација Републике Србије, институционално финансирање - 200124 (Универзитет у Нишу, Природно-математички факултет) (RS-MESTD-inst-2020-200124)

DOI: 10.3389/fenvs.2022.897248

ISSN: 2296-665X

WoS: 000807852100001

Scopus: 2-s2.0-85131867511
[ Google Scholar ]
6
6
URI
https://vinar.vin.bg.ac.rs/handle/123456789/11162
Колекције
  • 060 - Laboratorija za hemijsku dinamiku i permanentno obrazovanje
  • 100 - Laboratorija za zaštitu od zračenja i zaštitu životne sredine
  • Radovi istraživača
Институција/група
Vinča
TY  - JOUR
AU  - Manić, Miloš
AU  - Đorđević, Milan
AU  - Đokić, Mrđan
AU  - Dragović, Ranko M.
AU  - Kićović, Dušan
AU  - Đorđević, Dejan
AU  - Jović, Mihajlo D.
AU  - Smičiklas, Ivana D.
AU  - Dragović, Snežana D.
PY  - 2022
UR  - https://vinar.vin.bg.ac.rs/handle/123456789/11162
AB  - Hilly terrains characterized by the looseness of the surface soil layer and the slope of the topographic surface are subjected to diverse erosion processes, which could greatly impact forest management. An erosive process was identified along the unstable slopes in most of the Crveni potok catchment in the southeastern part of Serbia. The results of this study indicate two erosion types of variable intensity, dominated by weak and moderate erosion, while severe erosion is identified at several locations. Water pressure in the pores of loose soil in the Crveni potok catchment generates gully erosion in parts of the catchment that are geologically predisposed by the composition of the parent substrate. The paper discusses the factors influencing gully erosion, such as soil density, the slope of the topographic surface, rainfall (precipitation amount, annual distribution), and vegetation characteristics. The set of used methodologies, including remote sensing, nuclear, and geospatial ones, provided an integrated assessment of factors affecting erosion in unstable forest areas. The soil erosion rates in the study area are estimated from inventories of fallout radionuclide 137 Cs using conversion models. Airborne photogrammetry, terrestrial Structure-from-Motion 360-degree camera photogrammetry, and Terrestrial LiDAR Scanning (TLS) are used to model complex geomorphological features of forest terrain. These techniques are found to be convenient for the quantification of the existing state of erosion (length, width, volume, and density of the gully systems) in the forest gullies. The remote sensing techniques provided an insight into the physiographic characteristics of the studied area important for determining its parts affected by erosion. The models obtained using different techniques are compared, techniques are evaluated, and their advantages and disadvantages are pointed out. This approach enables the identification of priority targets for soil conservation and site-specific remediation measures to foster sustainable forest management.
T2  - Frontiers in Environmental Science
T1  - Remote Sensing and Nuclear Techniques for Soil Erosion Research in Forest Areas: Case Study of the Crveni Potok Catchment
VL  - 10
DO  - 10.3389/fenvs.2022.897248
ER  - 
@article{
author = "Manić, Miloš and Đorđević, Milan and Đokić, Mrđan and Dragović, Ranko M. and Kićović, Dušan and Đorđević, Dejan and Jović, Mihajlo D. and Smičiklas, Ivana D. and Dragović, Snežana D.",
year = "2022",
abstract = "Hilly terrains characterized by the looseness of the surface soil layer and the slope of the topographic surface are subjected to diverse erosion processes, which could greatly impact forest management. An erosive process was identified along the unstable slopes in most of the Crveni potok catchment in the southeastern part of Serbia. The results of this study indicate two erosion types of variable intensity, dominated by weak and moderate erosion, while severe erosion is identified at several locations. Water pressure in the pores of loose soil in the Crveni potok catchment generates gully erosion in parts of the catchment that are geologically predisposed by the composition of the parent substrate. The paper discusses the factors influencing gully erosion, such as soil density, the slope of the topographic surface, rainfall (precipitation amount, annual distribution), and vegetation characteristics. The set of used methodologies, including remote sensing, nuclear, and geospatial ones, provided an integrated assessment of factors affecting erosion in unstable forest areas. The soil erosion rates in the study area are estimated from inventories of fallout radionuclide 137 Cs using conversion models. Airborne photogrammetry, terrestrial Structure-from-Motion 360-degree camera photogrammetry, and Terrestrial LiDAR Scanning (TLS) are used to model complex geomorphological features of forest terrain. These techniques are found to be convenient for the quantification of the existing state of erosion (length, width, volume, and density of the gully systems) in the forest gullies. The remote sensing techniques provided an insight into the physiographic characteristics of the studied area important for determining its parts affected by erosion. The models obtained using different techniques are compared, techniques are evaluated, and their advantages and disadvantages are pointed out. This approach enables the identification of priority targets for soil conservation and site-specific remediation measures to foster sustainable forest management.",
journal = "Frontiers in Environmental Science",
title = "Remote Sensing and Nuclear Techniques for Soil Erosion Research in Forest Areas: Case Study of the Crveni Potok Catchment",
volume = "10",
doi = "10.3389/fenvs.2022.897248"
}
Manić, M., Đorđević, M., Đokić, M., Dragović, R. M., Kićović, D., Đorđević, D., Jović, M. D., Smičiklas, I. D.,& Dragović, S. D.. (2022). Remote Sensing and Nuclear Techniques for Soil Erosion Research in Forest Areas: Case Study of the Crveni Potok Catchment. in Frontiers in Environmental Science, 10.
https://doi.org/10.3389/fenvs.2022.897248
Manić M, Đorđević M, Đokić M, Dragović RM, Kićović D, Đorđević D, Jović MD, Smičiklas ID, Dragović SD. Remote Sensing and Nuclear Techniques for Soil Erosion Research in Forest Areas: Case Study of the Crveni Potok Catchment. in Frontiers in Environmental Science. 2022;10.
doi:10.3389/fenvs.2022.897248 .
Manić, Miloš, Đorđević, Milan, Đokić, Mrđan, Dragović, Ranko M., Kićović, Dušan, Đorđević, Dejan, Jović, Mihajlo D., Smičiklas, Ivana D., Dragović, Snežana D., "Remote Sensing and Nuclear Techniques for Soil Erosion Research in Forest Areas: Case Study of the Crveni Potok Catchment" in Frontiers in Environmental Science, 10 (2022),
https://doi.org/10.3389/fenvs.2022.897248 . .

DSpace software copyright © 2002-2015  DuraSpace
О репозиторијуму ВинаР | Пошаљите запажања

re3dataOpenAIRERCUB
 

 

Комплетан репозиторијумГрупеАуториНасловиТемеОва институцијаАуториНасловиТеме

Статистика

Преглед статистика

DSpace software copyright © 2002-2015  DuraSpace
О репозиторијуму ВинаР | Пошаљите запажања

re3dataOpenAIRERCUB