Abstract
The main goal of this research was to perform vegetation cover restoration and soil erosion risk assessment based on multi-temporal NDVI monitoring and deterministic USLE erosion prediction model along Baku–Tbilisi–Ceyhan Oil and South Caucasus Gas pipelines. The categorization of NDVI derived from IKONOS 2007 and PLEIADES 2012 high-resolution multispectral satellite images into the bare lands, sparse and dense vegetation revealed the positive vegetation cover restoration along oil and gas pipelines. The change detection analysis of NDVIs showed that the class of ‘Significant Increase in Vegetation’ was 5.40 km2 within the croplands. However, the classes of ‘Significant Decrease in Vegetation’ and ‘No Significant Change in Vegetation’ were observed to be 2.56 and 5.10 km2 within croplands, correspondingly. This decrease can be explained by the encumbrances applied for the partial restrictions of land-use activities along oil and gas pipelines to mitigate potential risks to pipelines and by the slow natural vegetation restoration. NDVI analysis for 50-m section polygons of pipeline corridor and contiguous areas showed that 7072 polygons had no significant NDVI difference in 2012, whereas in 2007 it was 4383. USLE model run with cover-management factor derived from PLEIADES NDVI 2012 showed higher number of polygons with predicted erosion class of ‘0–10 ton/ha’ which is acceptable and not critical to pipelines. For higher erosion classes more than ‘0–10 ton/ha’, USLE model run with IKONOS NDVI 2007 revealed higher number of polygons. USLE model run predicted 37 % of total number of erosion occurrences identified during 2005–2014.





























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Aliyev F, Muller H, Salmanova L, Bayramov E (2006) Azerbaijan—the land of incomparable nature p 213
Bayramov ER (2013) Quantitative assessment of vegetation renaturation and soil degradation and their control by climate and ground factors along rights-of-way of petroleum/gas pipelines, Azerbaijan. PhD Dissertation. Dresden University of Technology. Dresden, Germany
Bayramov E, Buchroithner MF, McGurty E (2012a) Determination of main climate and ground factors controlling vegetation cover regrowth along oil and gas pipelines using multiple, spatial and geographically weighted regression procedures. Environ Earth Sci 66:2047–2062
Bayramov E, Buchroithner M, McGurty E (2012b) Quantitative assessment of vegetation cover and soil degradation factors within terrain units for planning, monitoring and assessment of renaturation along oil and gas pipelines. Geocarto International 27(7):535–555. doi:10.1080/10106049.2011.648662
Bayramov E, Buchroithner M, McGurty E (2012c) Prediction reliability, quantitative differences and spatial variations of erosion models for long-range petroleum and gas infrastructure. Georisk Assess Manag Risk Eng Syst Geohazards 6(4):252–272. doi:10.1080/17499518.2012.743834
Bayramov E, Buchroithner M, McGurty E (2013) Differences of MMF and USLE models for soil loss prediction along BTC and SCP pipelines. J Pipeline Syst Eng Pract 4(1) 81–96. doi:10.1061/(ASCE)PS.1949-1204.0000117
Benavides-solorio J, Macdonald LH (2005) Measurement and prediction of post-fire erosion at hillslope scale, Colorado Front Range. Int J Wildland Fire 14:457–474
Beskow S, Mello CR, Norton LD, curi N, Viola MR, Avanzi JC (2009) Soil erosion prediction in the Grande River Basin, Brazil using distributed modeling. Catena 79:49–59
Biot Y (1990) THEPROM - an erosion productivity model. In: Boardman J, Foster IDL, Dearing JA (eds) Soil erosion on agricultural land. Wiley, Chichester, pp 465–479
Carlson TN, Ripley DA (1997) On the relation between NDVI, fractional vegetation cover, and leaf area index. Remote Sens Environ 62:241–252
Dafalla MS (2006) Mapping and assessment of land use/land cover using remote sensing and GIS in North Kordofan State, Sudan. Dissertation. Technischen Universität Dresden
De asis AM, Omasa K (2007) Estimation of vegetation parameter for modeling soil erosion using linear spectral mixture analysis of landsat ETM data. ISPRS J Photogramm Remote Sens 62(4):309–324
De asis AM, Omasa K, Oki K, Shimizu Y (2008) Accuracy and applicability of linear spectral unmixing in delineating potential erosion areas in tropical watersheds. Int J Remote Sens 29:4151–4171
De jong SM (1994) Derivation of vegetative variables from a landsat TM image for erosion modelling. Earth Surf Proc Land 19:165–178
De jong SM, Paracchini ML, Bertolo F, Folving S, Megier J, De roo APJ (1999) Regional assessment of soil erosion using the distributed model SEMMED and remotely sensed data. Catena 37:291–308
Duzant J (2008) Toward guidance for the design and placement of vegetated filter strips. Dissertation, Cranfield University
Elgubshawi A (2008) Soil degradation: its aspects and modelling a case study of northeast Nuba Mountain South Kordofan State, Sudan. Dissertation, Technischen Universität Dresden
Erdogan EH, Erpul G, Bayramin I (2007) Use of USLE/GIS Methodology for predicting soil loss in a semiarid agricultural watershed. Environ Monit Assess 131:153–161
Fernandez C, Vega JA, Fonturbel MT, Perez-gorostiaga P, Jimenez E, Madrigal J (2007) Effects of wildfire, salvage logging and slash treatments on soil degradation. Land Degrad Dev 18:591–607
Fernandez C, Vega JA, Vieira DCS (2010) Assessing soil erosion after fire and rehabilitation treatments in NW Spain: performance of RUSLE and revised Morgan–Morgan–Finney models. Land Degrad Dev 21:58–67
Hann MJ, Morgan RPC (2006) Evaluating erosion control measures for biorestoration between the time of soil reinstatement and vegetation establishment. Earth Surf Proc Land 31:589–597
Hann MJ, Morgan RPC, Shilston D, Mirtskhoulava TSE, Gasca AH, Clarke J, Sweeney M (2004) Vegetation establishment and management for the restoration of pipeline rights-of-way. In: Sweeney M (ed) Terrain and geohazard challenges facing onshore oil and gas pipelines. London, Thomas Telford, pp 673–687
Hijmans RJ, Cameron SE, Parra JL, Jones PG, Jarvis A (2005) Very high resolution interpolated climate surfaces for global land areas. Int J Climatol 25:1965–1978. doi:10.1002/joc.1276
Hudson NW (1995) Soil conservation, 3rd edn. Batsford, London. p 391. ISBN 0-7134-7353-3
Jain SK, Singh P, Seth SM (2002) Assessment of sedimentation in Bhakra Reservoir in the western Himalayan region using remotely sensed data. Hydrol Sci J 47:203–212
Laws JO, Parsons DA (1943) The relationship of raindrop size to intensity. Trans Am Geophys Union 24:452–460
Lin C, Lin W, Chou W (2002) Soil erosion prediction and sediment yield estimation: the Taiwan experience. Soil Tillage Res 68:143–152
Lunetta RS (1999) Application, project, and analytical approach. In: Ross Lunetta S, Christopher Elvidge D (eds) Remote sensing change detection environmental monitoring methods and applications. Taylor and Francis, London, pp 1–19
Meusburger K, Konz N, Schaub M, Alewell C (2010) Soil erosion modelled with USLE and PESERA using QuickBird derived vegetation parameters in an alpine catchment. Int J Appl Earth Obs Geoinform 12:208–215
Monteith JL (1965) Evaporation and environment. In: the state and movement of water in living organism. Proceedings of the 19th symposium of the society of experimental biology, Cambridge, pp 205–234
Morgan RPC (1995) Soil erosion and conservation. Longman Scientific and Technical, 2nd edn. Harlow, UK, p 198
Morgan RPC (2005) Soil erosion and conservation, 3rd edn. Blackwell Science Ltd., Oxford, p 304
Morgan RPC, Hann MJ, Shilston D, Mirtskhoulava TSE, Gasca AH, Clarke J, Sweeney M (2004) Use of terrain analysis as a basis for erosion of risk assessment along pipeline rights-of-way: a case study from Georgia. In: Sweeney M (ed) Terrain and geohazard challenges facing onshore oil and gas pipelines. Thomas Telford, London, pp 324–347
Mu Q, Heinsch FA, Zhao M, Running SW (2007) Development of a global evapotranspiration algorithm based on MODIS and global meteorology data. Remote Sens Environ 111:519–536. doi:10.1016/j.rse.2007.04.015
Muzein BS (2006) Remote Sensing & GIS for land cover/land use change detection and analysis in the semi-natural ecosystems and agriculture landscapes of the central ethiopian rift valley. Dissertation, Technischen Universität Dresden
Pannuk CD, Robichaud PR (2003) Effectiveness of needle cast at reducing erosion after forest fires. Water Resour Res 39:1333–1342
Pierson FB, Robichaud PR, Spaeth KE (2001) Spatial and temporal effects of wildfire on the hydrology of a steep rangeland watershed. Hydrol Process 15:2953–2965
Renard KG, Ferreira VA (1993) RUSLE model description and database sensitivity. J Environ Qual 22(3):458–466
Renard KG, Foster GR, Weesies GA, Mc cool DK, Yoder DC (1997) Predicting soil erosion by water: a guide to conservation planning with the revised universal soil loss equation (RUSLE). Agriculture Handbook n-703. USDA, Natural Resources Conservation Service: Washington, DC
Steven MD, Malthus TJ, Baret F, Xu H, Chopping MJ (2003) Intercalibration of vegetation indices from different sensor systems. Remote Sens Environ 88(4):412–422. doi:10.1016/j.rse.2003.08.010
Sulieman HM (2008) Mapping and modelling of vegetation changes in the Southern Gadarif Region, Sudan, Using Remote Sensing. Dissertation, Technischen Universität Dresden
Suriyaprasit M (2008) Digital terrain analysis and image processing for assessing erosion prone areas. Dissertation, International Institute for Geo-information Science and Earth Observation
Thornes JB (1990) The interaction of erosional and vegetational dynamics in land degradation: spatial outcomes. In: Thornes JB (ed) Vegetation and erosion. Wiley, Chichester, pp 41–53
Townshend JRG, Justice CO (1986) Analysis of the dynamics of African vegetation using the normalized difference vegetation index. Int J Remote Sens 7:1435–1446
Um JS, Wright R (1998) A comparative evaluation of video remote sensing and field survey for revegetation monitoring of a pipeline route. Sci Total Environ 215:189–207
Van der knijff M, Jones RJA, Montanarella L (1999) Soil erosion risk in Italy. Office for Official Publications of the European Communities, Luxembourg, p 54
Van der knijff JM, Jones RJA, Montanarella L (2000) Soil erosion risk assessment in Europe. Office for Official Publications of the European Communities, Luxembourg, p 34
Vega JA, Fernandez C, Fonturbel T (2005) Throughfall, runoff and soil erosion alter prescribed burning in gorse shrubland in Galicia (NW Spain). Land Degrad Dev 15:1–15
Vemu S, Udayabhaskar P (2010) An integrated approach for prioritization of reservoir catchment using remote sensing and geographic information system techniques. Geocarto Int 25(2):149–168
Wagenbrenner JW, Mac donald LH, Rough D (2006) Effectiveness of three post-fire rehabilitation treatments in the Colorado Front Range. Hydrol Process 20:2989–3006
Winning HK, Hann MJ (2014) Modelling soil erosion risk for pipelines using remote sensed data. Biosyst Eng 127:135–143
Wischmeier WH, Smith DD (1978) Predicting rainfall erosion losses: a guide to conservation planning. US department of agriculture, agricultural handbook number, vol. 537. Government Printing Office, Washington, D.C
Wolf S (2006) Bodenerosion als Funktion veränderter Landnutzungsstruktur– Modellierung der Entwicklung am Beispiel der Nationalparkregion Sächsische Schweiz. Dissertation, Technischen Universität Dresden
Zachar D (1982) Soil erosion. Developments in soil science 10. Elsevier Scientific Publishing Company, Amsterdam
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Bayramov, E.R., Buchroithner, M.F. & Bayramov, R.V. Multi-temporal assessment of ground cover restoration and soil erosion risks along petroleum and gas pipelines in Azerbaijan using GIS and remote sensing. Environ Earth Sci 75, 256 (2016). https://doi.org/10.1007/s12665-015-5044-9
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DOI: https://doi.org/10.1007/s12665-015-5044-9


