journal article
Open Access
Aug 02, 2013
Dynamic Assessment of Soil Erosion Risk Using Landsat TM and HJ Satellite Data in Danjiangkou Reservoir Area, China
Abstract
Danjiangkou reservoir area is the main water source and the submerged area of the Middle Route South-to-North Water Transfer Project of China. Soil erosion is a factor that significantly influences the quality and transfer of water from the Danjiangkou reservoir. The objective of this study is to assess the water erosion (rill and sheet erosion) risk and dynamic change trend of spatial distribution in erosion status and intensity between 2004 and 2010 in the Danjiangkou reservoir area using a multicriteria evaluation method.The multicriteria evaluation method synthesizes the vegetation fraction cover, slope gradient, and land use. Based on the rules and erosion risk assessment results of the study area in 2004 and 2010, the research obtained the conservation priority map. This study result shows an improvement in erosion status of the study area, the eroded area decreased from 32.1% in 2004 to 25.43% in 2010. The unchanged regions dominated the study area and that the total area of improvement grade erosion was larger than that of deterioration grade erosion. The severe, more severe, and extremely severe areas decreased by 4.71%, 2.28%, and 0.61% of the total study area, respectively. The percentages of regions where erosion grade transformed from extremely severe to slight, light and moderate were 0.18%, 0.02%, and 0.30%, respectively. However, a deteriorated region with a 2,897.60 km2 area was still observed. This area cannot be ignored in the determination of a general governance scheme. The top two conservation priority levels cover almost all regions with severe erosion and prominent increase in erosion risk, accounting for 7.31% of the study area. The study results can assist government agencies in decision making for determining erosion control areas, starting regulation projects, and making soil conservation measures.
Topics
No keywords indexed for this article. Browse by subject →
References
65
[1]
Rahman "Soil erosion hazard evaluation: An integrated use of remote sensing, GIS and statistical approaches with biophysical parameters towards management strategies" Ecol. Model (2009) 10.1016/j.ecolmodel.2009.04.004
[2]
Vrieling "Timing of erosion and satellite data: A multi-resolution approach to soil erosion risk mapping" Int. J. Appl. Earth Obs. Geoinf (2008)
[3]
Morgan, R.P.C. (2005). Soil Erosion and Conservation, Blackwell Publishing Company. [3rd ed].
[4]
Li "Advances of soil erosion research during the past 60 years in China (in Chinese)" Sci. Soil Water Conserv (2009)
[5]
Li "Current status and developing trend of soil erosion in China (in Chinese)" Sci. Soil Water Conserv (2008)
[6]
Zhang "Quantitative analysis of water erosion in Danjiangkou reservoir area of Hubei province based on RS-GIS (in Chinese)" Ecol. Environ (2006)
[7]
Hassan "Use of remote sensing to map gully erosion along the Atbara River, Sudan" Int. J. Appl. Earth Obs. Geoinf. (1999)
[8]
Dwivedi "The inventory and monitoring of eroded lands using remote sensing data" Int. J. Remote Sens (1997) 10.1080/014311697219303
[9]
Vrieling "Erosion risk mapping: A methodological case study in the Colombian Eastern Plains" J. Soil Water Conserv (2002)
[10]
Zhang "Numerical analysis of soil erosion in mountain area using remote sensing and GIS (in Chinese)" Trans. CSAE (1998)
[11]
Servenay "Erosion extension of indurated volcanic soils of Mexico by aerial photographs and remote sensing analysis" Geoderma (2003) 10.1016/s0016-7061(03)00134-4
[12]
Metternicht "Evaluating the information contents of JERS-1 SAR and Landsat TM data for discrimination of soil erosion features" ISPRS. J. Photogramm (1998) 10.1016/s0924-2716(98)00004-5
[13]
Jurgens "Soil erosion assessment and simulation by means of SGEOS and ancillary digital data" Int. J. Remote Sens (1993) 10.1080/01431169308904313
[14]
Baban "Modelling soil erosion in tropical environments using remote sensing and geographical information systems" Hydrol. Sci. J (2001) 10.1080/02626660109492815
[15]
Fu "Modeling the impacts of no-till practice on soil erosion and sediment yield with RUSLE, SEDD, and ArcView GIS" Soil Till. Res (2006) 10.1016/j.still.2004.11.009
[16]
Lee "Soil erosion assessment and its verification using the universal soil loss equation and geographic information system: A case study at Boun, Korea" Environ. Geol (2004) 10.1007/s00254-003-0897-8
[17]
Shi "Soil conservation planning at the small watershed level using RUSLE with GIS: A case study in the Three Gorge Area of China" Catena (2004) 10.1016/s0341-8162(03)00088-2
[18]
Reusing "Modelling soil loss rates in the Ethiopian Highlands by integration of high resolution MOMS-02/D2-stereo-data in a GIS" Int. J. Remote Sens (2000) 10.1080/014311600209797
[19]
Ma "A data fusion approach for soil erosion monitoring in the Upper Yangtze River Basin of China based on Universal Soil Loss Equation (USLE) model" Int. J. Remote Sens (2003) 10.1080/0143116021000056028
[20]
Derose "Gully erosion in Mangatu forest, New Zealand, estimated from digital elevation models" Earth Surf. Proc. Land (1998) 10.1002/(sici)1096-9837(1998110)23:11<1045::aid-esp920>3.0.co;2-t
[21]
Smith "Estimation of erosion, deposition, and net volumetric change caused by the 1996 Skeiđarársandur jökulhlaup, Iceland, from synthetic aperture radar interferometry" Water Resour. Res (2000) 10.1029/1999wr900335
[22]
Kachanoski "Predicting the temporal relationship between soil caesium-137 and erosionrate" J. Environ. Qual (1984) 10.2134/jeq1984.00472425001300020025x
[23]
Ritchie "Application of radioactive fallout cesium-137 for measuring soil erosion and sediment accumulation rates and patterns: A review" J. Environ. Qual (1990) 10.2134/jeq1990.00472425001900020006x
[24]
Ritchie "Estimating soil erosion from the redistribution of 137Cs" Soil Sci. Soc. Am. Proc (1974) 10.2136/sssaj1974.03615995003800010042x
[25]
Hong "Study on the soil loss prediction by artificial neural network in Southeast Fujian (in Chinese)" J. Soil Eros. Soil Water Conserv (1997)
[26]
Zhang "Preliminary research on the BP networks foreasting model of watershed runoff and sediment yielding (in Chinese)" Adv. Water Sci (2001)
[27]
Wischmeier, W.H., and Smith, D.D. (1965). Predicting Rainfall Erosion Losses from Cropland East of the Rocky Mountains, US Department of Agriculture (USDA). Handbook No. 282.
[28]
Renard "RUSLE, revised universal soil loss equation" J. Soil Water Conserv (1991)
[29]
Baffalt "Impact of GLIGEN parameters on WEPP predicted average soil loss" Trans. ASAE (1996)
[30]
Stroosnijder "Measurement of erosion: Is it possible?" Catena (2005) 10.1016/j.catena.2005.08.004
[31]
King "The application of remote-sensing data to monitoring and modelling of soil erosion" Catena (2005) 10.1016/j.catena.2005.05.007
[32]
Bargiel "Using high-resolution radar images to determine vegetation cover for soil erosion assessments" J. Environ. Manag (2013) 10.1016/j.jenvman.2013.03.049
[33]
Panagos "Monthly soil erosion monitoring based on remotely sensed biophysical parameters: A case study in Strymonas river basin towards a functional pan-European service" Int. J. Dig. Earth (2012) 10.1080/17538947.2011.587897
[34]
Lu "Mapping soil erosion risk in Rondônia, Brazilian Amazonia: using RUSLE, remote sensing and GIS" Land Degrad. Dev (2004) 10.1002/ldr.634
[35]
Pandey "Identification of critical erosion prone areas in the small agricultural watershed using USLE, GIS and remote sensing" Water Resour. Manag (2007) 10.1007/s11269-006-9061-z
[36]
Alexakis, D.D., Hadjimitsis, D.G., and Agapiou, A. (2013). Integrated use of remote sensing, GIS and precipitation data for the assessment of soil erosion rate in the catchment area of “Yialias” in Cyprus. Atmos. Res.
10.1016/j.atmosres.2013.02.013
[37]
Pradhan "Soil erosion assessment and its correlation with landslide events using remote sensing data and GIS: A case study at Penang Island, Malaysia" Environ. Monit. Assess (2012) 10.1007/s10661-011-1996-8
[38]
Ozsoy "Determination of soil erosion risk in the Mustafakemalpasa river basin, Turkey, using the revised universal soil loss equation, geographic information system, and remote sensing" Environ. Manag (2012) 10.1007/s00267-012-9904-8
[39]
Vrieling "Satellite remote sensing for water erosion assessment: A review" Catena (2006) 10.1016/j.catena.2005.10.005
[40]
Zhang "Identification of priority areas for controlling soil erosion" Catena (2010) 10.1016/j.catena.2010.06.012
[41]
Tian "Risk assessment of water soil erosion in upper basin of Miyun Reservoir, Beijing, China" Environ. Geol (2008)
[42]
Guo "Soil erosion and the response characters of spectral curve under the precipitation condition (in Chinese)" Subtrop. Soil Water Conserv (2010)
[43]
Wang "Chinese HJ-1A/B satellites and data characteristics" Sci. China Earth Sci (2010) 10.1007/s11430-010-4139-0
[44]
Ministry of Water Resources of China (MWRC) (2008). SL190–2007: Standards for Classification and Gradation of Soil Erosion (in Chinese), Water Resources & Hydropower Press of China.
[45]
Pawanjeet "Erosion relevant topographical parameters derived from different DEMs—A comparative study from the Indian Lesser Himalayas" Remote Sens (2010) 10.3390/rs2081941
[46]
Koulouri "Land abandonment and slope gradient as key factors of soil erosion in Mediterranean terraced lands" Catena (2007) 10.1016/j.catena.2006.07.001
[47]
Burrough, P.A., and McDonell, R.A. (1998). Principles of Geographical Information Systems, Oxford University Press. [1st ed].
[48]
Chubey "Object-based analysis of Ikonos-2 imagery for extraction of forest inventory parameters" Photogramm. Eng. Remote Sensing (2006) 10.14358/pers.72.4.383
[49]
Myint "Per-pixel vs. object-based classification of urban land cover extraction using high spatial resolution imagery" Remote Sens. Environ (2011) 10.1016/j.rse.2010.12.017
[50]
Roostaei "Evaluation of object-oriented and pixel based classification methods for extracting changes in urban area" Int. J. Geomat. Geosci (2012)
Showing 50 of 65 references
Cited By
50
Spatial Modeling of Soil Erosion Risk and Its Implication for Conservation Planning: the Case of the Gobele Watershed, East Hararghe Zone, Ethiopia
Land
Gezahegn Weldu Woldemariam, Anteneh Derribew Iguala · 2018
Metrics
50
Citations
65
References
Details
- Published
- Aug 02, 2013
- Vol/Issue
- 5(8)
- Pages
- 3826-3848
- License
- View
Authors
Cite This Article
Lihui Wang, Jinliang Huang, Yun Du, et al. (2013). Dynamic Assessment of Soil Erosion Risk Using Landsat TM and HJ Satellite Data in Danjiangkou Reservoir Area, China. Remote Sensing, 5(8), 3826-3848. https://doi.org/10.3390/rs5083826
Related
You May Also Like
A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection
Hao Chen, Zhenwei Shi · 2020
1,650 citations
An Easy-to-Use Airborne LiDAR Data Filtering Method Based on Cloth Simulation
Wuming Zhang, Jianbo Qi · 2016
1,320 citations
Reconstructing Three Decades of Land Use and Land Cover Changes in Brazilian Biomes with Landsat Archive and Earth Engine
Carlos SOUZA, Julia Z. Shimbo · 2020
1,198 citations
Hyperspectral Imaging: A Review on UAV-Based Sensors, Data Processing and Applications for Agriculture and Forestry
Telmo Adão, Jonáš Hruška · 2017
1,101 citations
Transferring Deep Convolutional Neural Networks for the Scene Classification of High-Resolution Remote Sensing Imagery
Fan Hu, Gui-Song Xia · 2015
1,058 citations