메뉴 건너뛰기




Volumn 15, Issue 5, 2004, Pages 499-512

Mapping soil erosion risk in Rondônia, Brazilian Amazonia: Using RUSLE, remote sensing and GIS

Author keywords

Brazilian Amazonia; GIS; Remote sensing; RUSLE; Soil erosion risk

Indexed keywords

DATA ACQUISITION; ENVIRONMENTAL IMPACT; GEOGRAPHIC INFORMATION SYSTEMS; RAIN; REMOTE SENSING; RISK ASSESSMENT; RUNOFF; SOILS;

EID: 6044263450     PISSN: 10853278     EISSN: None     Source Type: Journal    
DOI: 10.1002/ldr.634     Document Type: Article
Times cited : (301)

References (50)
  • 2
    • 0141615531 scopus 로고    scopus 로고
    • Soil erosion in developing countries: A socio-economic appraisal
    • Ananda J, Herath G. 2003. Soil erosion in developing countries: a socio-economic appraisal. Journal of Environmental Management 68: 343-353.
    • (2003) Journal of Environmental Management , vol.68 , pp. 343-353
    • Ananda, J.1    Herath, G.2
  • 5
    • 0141476524 scopus 로고    scopus 로고
    • CIPEC Dissertation Series, No. 7. Center for the Study of Institutions, Population, and Environmental Change (CIPEC), Indiana University: Bloomington, Indiana
    • Batistella M. 2001. Landscape change and Land- Use/Land- Cover dynamics in Rondônia, Brazilian Amazonia. CIPEC Dissertation Series, No. 7. Center for the Study of Institutions, Population, and Environmental Change (CIPEC), Indiana University: Bloomington, Indiana.
    • (2001) Landscape Change and Land- Use/Land- Cover Dynamics in Rondônia, Brazilian Amazonia
    • Batistella, M.1
  • 7
    • 0035440337 scopus 로고    scopus 로고
    • GIS-based rapid assessment of erosion risk in a small catchment in the wet/dry tropics of Australia
    • Boggs G, Devonport C, Evans K, Puig P. 2001. GIS-based rapid assessment of erosion risk in a small catchment in the wet/dry tropics of Australia. Land Degradation & Development 12: 417-434.
    • (2001) Land Degradation and Development , vol.12 , pp. 417-434
    • Boggs, G.1    Devonport, C.2    Evans, K.3    Puig, P.4
  • 11
    • 0003971228 scopus 로고    scopus 로고
    • Embrapa. Centro Nacional de Pesquisa de Solos: Rio de Janeiro
    • Embrapa. 1999. Sistema brasileiro de classificação de solos. Centro Nacional de Pesquisa de Solos: Rio de Janeiro.
    • (1999) Sistema Brasileiro de Classificação de Solos
  • 12
    • 0141460585 scopus 로고    scopus 로고
    • Soil erosion and conservation in northern Europe
    • Fullen MA. 2003. Soil erosion and conservation in northern Europe. Progress in Physical Geography 27: 331-358.
    • (2003) Progress in Physical Geography , vol.27 , pp. 331-358
    • Fullen, M.A.1
  • 13
    • 0033031322 scopus 로고    scopus 로고
    • Using elevation to aid the geostatistical mapping of rainfall erosivity
    • Goovaerts P. 1999. Using elevation to aid the geostatistical mapping of rainfall erosivity. Catena 34: 227-242.
    • (1999) Catena , vol.34 , pp. 227-242
    • Goovaerts, P.1
  • 14
    • 0033869453 scopus 로고    scopus 로고
    • Slope angle and slope length solutions for GIS
    • Hickey R. 2000. Slope angle and slope length solutions for GIS. Cartography 29: 1-8.
    • (2000) Cartography , vol.29 , pp. 1-8
    • Hickey, R.1
  • 16
    • 0031849358 scopus 로고    scopus 로고
    • Soil erosion impact on agronomic productivity and environment quality: Critical reviews
    • Lal R. 1998. Soil erosion impact on agronomic productivity and environment quality: critical reviews. Plant Sciences 17: 319-464.
    • (1998) Plant Sciences , vol.17 , pp. 319-464
    • Lal, R.1
  • 19
    • 0038622775 scopus 로고    scopus 로고
    • Linear mixture model applied to Amazonian vegetation classification
    • Lu D, Moran E, Batistella M. 2003. Linear mixture model applied to Amazonian vegetation classification. Remote Sensing of Environment 87: 456-469.
    • (2003) Remote Sensing of Environment , vol.87 , pp. 456-469
    • Lu, D.1    Moran, E.2    Batistella, M.3
  • 21
    • 0346875639 scopus 로고    scopus 로고
    • A data fusion approach for soil erosion monitoring in the Upper Yangtze River Basin of China based on Universal Soil Loss Equation (USLE) model
    • Ma JW, Xue Y, Ma CF, Wang ZG. 2003. A data fusion approach for soil erosion monitoring in the Upper Yangtze River Basin of China based on Universal Soil Loss Equation (USLE) model. International Journal of Remote Sensing 24: 4777-4789.
    • (2003) International Journal of Remote Sensing , vol.24 , pp. 4777-4789
    • Ma, J.W.1    Xue, Y.2    Ma, C.F.3    Wang, Z.G.4
  • 23
    • 0034933183 scopus 로고    scopus 로고
    • Application of the USLE in a savannah environment: Comparative experiences from east and west Africa
    • Mati BM, Veihe A. 2001. Application of the USLE in a savannah environment: comparative experiences from east and west Africa. Singapore Journal of Tropical Geography 22: 138-155.
    • (2001) Singapore Journal of Tropical Geography , vol.22 , pp. 138-155
    • Mati, B.M.1    Veihe, A.2
  • 25
    • 0032787022 scopus 로고    scopus 로고
    • Adapting the RUSLE to model soil erosion potential in a mountainous tropical watershed
    • Millward AA, Mersey JE. 1999. Adapting the RUSLE to model soil erosion potential in a mountainous tropical watershed. Catena 38: 109-129.
    • (1999) Catena , vol.38 , pp. 109-129
    • Millward, A.A.1    Mersey, J.E.2
  • 26
    • 6044247467 scopus 로고
    • Indiana University Press: Bloomington, Indiana
    • Moran EF. 1981. Developing the Amazonia. Indiana University Press: Bloomington, Indiana.
    • (1981) Developing the Amazonia
    • Moran, E.F.1
  • 27
    • 0024497832 scopus 로고
    • A process-based soil erosion model for USDA-Water erosion prediction project technology
    • Nearing MA, Foster GR, Lane LJ, Finkner SC. 1989. A process-based soil erosion model for USDA-Water Erosion Prediction Project Technology. Transactions of the ASAE 32: 1587-1593.
    • (1989) Transactions of the ASAE , vol.32 , pp. 1587-1593
    • Nearing, M.A.1    Foster, G.R.2    Lane, L.J.3    Finkner, S.C.4
  • 28
    • 1642369118 scopus 로고    scopus 로고
    • Spatial uncertainty analysis for mapping soil erodibility based on joint sequential simulation
    • Parysow P, Wang G, Gertner GZ, Anderson AB. 2003. Spatial uncertainty analysis for mapping soil erodibility based on joint sequential simulation. Catena 53: 65-78.
    • (2003) Catena , vol.53 , pp. 65-78
    • Parysow, P.1    Wang, G.2    Gertner, G.Z.3    Anderson, A.B.4
  • 29
    • 0028666121 scopus 로고
    • Using monthly precipitation data to estimate the R-factor in the revised USLE
    • Renard KG, Fremund JR. 1994. Using monthly precipitation data to estimate the R-factor in the revised USLE. Journal of Hydrology 157: 287-306.
    • (1994) Journal of Hydrology , vol.157 , pp. 287-306
    • Renard, K.G.1    Fremund, J.R.2
  • 31
    • 0034031795 scopus 로고    scopus 로고
    • Modeling soil erosion rates in the Ethiopian Highlands by integration of high resolution MOMS-02/ D2-stereo-data in a GIS
    • Reusing M, Schneider T, Ammer U. 2000. Modeling soil erosion rates in the Ethiopian Highlands by integration of high resolution MOMS-02/ D2-stereo-data in a GIS. International Journal of Remote Sensing 21: 1885-1896.
    • (2000) International Journal of Remote Sensing , vol.21 , pp. 1885-1896
    • Reusing, M.1    Schneider, T.2    Ammer, U.3
  • 32
    • 0022180895 scopus 로고
    • The soil erodibility factor: A perspective
    • Romken MJM. 1983. The soil erodibility factor: a perspective. Soil Erosion and Conservation 10: 445-461.
    • (1983) Soil Erosion and Conservation , vol.10 , pp. 445-461
    • Romken, M.J.M.1
  • 36
    • 6044261380 scopus 로고
    • Soil Survey Staff. USDA-SCS Agriculture Handbook. USDA Soil Conservation Service: Washington, DC
    • Soil Survey Staff. 1993. Soil Survey Manual. USDA-SCS Agriculture Handbook, Vol. 18. USDA Soil Conservation Service: Washington, DC.
    • (1993) Soil Survey Manual , vol.18
  • 37
    • 0003392222 scopus 로고    scopus 로고
    • Soil Survey Staff. Title 430-VI. USDA Natural Resources Conservation Service: Washington, DC
    • Soil Survey Staff. 1997. National Soil Survey Handbook, Title 430-VI. USDA Natural Resources Conservation Service: Washington, DC.
    • (1997) National Soil Survey Handbook
  • 38
    • 1642623796 scopus 로고    scopus 로고
    • Soil Survey Staff. 8th edn. USDA Natural Resources Conservation Service: Washington, DC
    • Soil Survey Staff. 1998. Keys to Soil Taxonomy, 8th edn. USDA Natural Resources Conservation Service: Washington, DC.
    • (1998) Keys to Soil Taxonomy
  • 40
    • 0037286861 scopus 로고    scopus 로고
    • The causes and spatial patterns of land degradation risk in southern Mauritania using multitemporal AHVRR-NDVI imagery and field data
    • Thiam AK. 2003. The causes and spatial patterns of land degradation risk in southern Mauritania using multitemporal AHVRR-NDVI imagery and field data. Land Degradation & Development 14: 133-142.
    • (2003) Land Degradation and Development , vol.14 , pp. 133-142
    • Thiam, A.K.1
  • 42
    • 0034890533 scopus 로고    scopus 로고
    • Estimating the LS factor for RUSLE through iterative slope length processing of digital elevation data within ArcInfo Grid
    • Van Remortel R, Hamilton M, Hickey R. 2001. Estimating the LS factor for RUSLE through iterative slope length processing of digital elevation data within ArcInfo Grid. Cartography 30: 27-35.
    • (2001) Cartography , vol.30 , pp. 27-35
    • van Remortel, R.1    Hamilton, M.2    Hickey, R.3
  • 43
    • 0035928009 scopus 로고    scopus 로고
    • Modelling of event-based soil erosion in Costa Rica, Nicaragua and Mexico: Evaluation of the EUROSEM model
    • Veihe A, Rey J, Quinton JN, Strauss P, Sancho FM, Somarriba M. 2001. Modelling of event-based soil erosion in Costa Rica, Nicaragua and Mexico: evaluation of the EUROSEM model. Catena 44: 187-203.
    • (2001) Catena , vol.44 , pp. 187-203
    • Veihe, A.1    Rey, J.2    Quinton, J.N.3    Strauss, P.4    Sancho, F.M.5    Somarriba, M.6
  • 44
    • 0036070543 scopus 로고    scopus 로고
    • Erosion risk mapping: A methodological case study in the Colombian eastern plains
    • Vrieling A, Sterk G, Beaulieu N. 2002. Erosion risk mapping: a methodological case study in the Colombian eastern plains. Journal of Soil and Water Conservation 57: 158-163.
    • (2002) Journal of Soil and Water Conservation , vol.57 , pp. 158-163
    • Vrieling, A.1    Sterk, G.2    Beaulieu, N.3
  • 45
    • 0035923382 scopus 로고    scopus 로고
    • Uncertainty assessment of soil crodibility factor for revised universal soil loss equation
    • Wang G, Gertner GZ, Liu X, Anderson A. 2001. Uncertainty assessment of soil crodibility factor for revised universal soil loss equation. Catena 46: 1-14.
    • (2001) Catena , vol.46 , pp. 1-14
    • Wang, G.1    Gertner, G.Z.2    Liu, X.3    Anderson, A.4
  • 46
    • 0037099961 scopus 로고    scopus 로고
    • Spatial and temporal prediction and uncertainty of soil loss using the revized universal soil loss equation: A case study of the rainfall-runoff erosivity R factor
    • Wang G, Gertner G, Singh V, Shinkareva S, Parysow P, Anderson A. 2002a. Spatial and temporal prediction and uncertainty of soil loss using the revized universal soil loss equation: a case study of the rainfall-runoff erosivity R factor. Ecological Modeling 153: 143-155.
    • (2002) Ecological Modeling , vol.153 , pp. 143-155
    • Wang, G.1    Gertner, G.2    Singh, V.3    Shinkareva, S.4    Parysow, P.5    Anderson, A.6
  • 47
    • 0037144439 scopus 로고    scopus 로고
    • Improvement in mapping vegetation cover factor for the universal soil loss equation by geostatistical methods with Landsat Thametic Mapper images
    • Wang G, Wente S, Gertner GZ, Anderson A. 2002b. Improvement in mapping vegetation cover factor for the universal soil loss equation by geostatistical methods with Landsat Thametic Mapper images. International Journal of Remote Sensing 23: 3649-3667.
    • (2002) International Journal of Remote Sensing , vol.23 , pp. 3649-3667
    • Wang, G.1    Wente, S.2    Gertner, G.Z.3    Anderson, A.4
  • 48
    • 0038370862 scopus 로고    scopus 로고
    • Mapping multiple variables for predicting soil loss by geostatistical methods with TM images and a slope map
    • Wang G, Gertner G, Fang S, Anderson AB. 2003. Mapping multiple variables for predicting soil loss by geostatistical methods with TM images and a slope map. Photogrammetric Engineering and Remote Sensing 69 889-898.
    • (2003) Photogrammetric Engineering and Remote Sensing , vol.69 , pp. 889-898
    • Wang, G.1    Gertner, G.2    Fang, S.3    Anderson, A.B.4
  • 49
    • 0344949680 scopus 로고    scopus 로고
    • Spatial models of soil erosion and GIS
    • Fotheringham AS, Wegener M (eds). Taylor and Francis: Philadelphia, PA
    • Wilson JP, Lorang MS. 2000. Spatial models of soil erosion and GIS. In Spatial Models and GIS: New Potential and New Models, Fotheringham AS, Wegener M (eds). Taylor & Francis: Philadelphia, PA; 83-108.
    • (2000) Spatial Models and GIS: New Potential and New Models , pp. 83-108
    • Wilson, J.P.1    Lorang, M.S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.