Analysis of the evolution of soil erosion classes using multitemporal Landsat imagery

被引:1
|
作者
Marquinez, J. [1 ]
Wozniak, E. [1 ]
Fernandez, S. [1 ]
Martinez, R. [1 ]
机构
[1] Univ Oviedo, Nat Resources & Territorial Planning Inst INDUROT, E-33600 Mieres, Spain
关键词
forest fires; soil erosion indicators;
D O I
10.1071/WF06138
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
A cartographic method based on satellite images was completed in order to analyse the evolution of soil erosion in areas under humid climate conditions that experience frequent small forest fires. The method uses indicators, recognisable in the images, for the spatial and temporal analysis of the soil erosion status in burnt areas where the vegetation recovers quickly after fires. The continuity of the organic horizon, the surface stoniness and the vegetation cover degradation or regeneration were the indicators of the erosive soil class used in the multitemporal analysis of nine Landsat images. The study area is located in the western sector of the Cantabrian Range (NW Spain). The indicators selected were useful to show clearly the erosive status of the soils. Also, the use of multitemporal satellite image analysis seems to be a suitable method for studying soil erosion evolution in areas prone to forest fire. The application of the proposed method showed that in a study area of 48 857 ha, the soil cover was recovering in 7377 ha owing to the smaller frequency of forest fires, and degrading in 2326 ha.
引用
收藏
页码:549 / 558
页数:10
相关论文
共 50 条
  • [41] Enhancing the Detectability of Clouds and Their Shadows in Multitemporal Dryland Landsat Imagery: Extending Fmask
    Frantz, David
    Roeder, Achim
    Udelhoven, Thomas
    Schmidt, Michael
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2015, 12 (06) : 1242 - 1246
  • [42] Multitemporal Monitoring of Land Degradation Risk Due to Soil Loss in a Fire-Prone Mediterranean Landscape Using Multi-decadal Landsat Imagery
    Mallinis, Giorgos
    Gitas, Ioannis Z.
    Tasionas, Georgios
    Maris, Fotis
    WATER RESOURCES MANAGEMENT, 2016, 30 (03) : 1255 - 1269
  • [43] Multitemporal Monitoring of Land Degradation Risk Due to Soil Loss in a Fire-Prone Mediterranean Landscape Using Multi-decadal Landsat Imagery
    Giorgos Mallinis
    Ioannis Z. Gitas
    Georgios Tasionas
    Fotis Maris
    Water Resources Management, 2016, 30 : 1255 - 1269
  • [44] Quantitative Retrieval of Soil Salinity Using Landsat 8 OLI Imagery
    Dong, Ruolin
    Na, Xiaodong
    APPLIED SCIENCES-BASEL, 2021, 11 (23):
  • [45] Mapping soil drainage classes of Amik Plain using Landsat images
    Kilic, Seref
    AFRICAN JOURNAL OF AGRICULTURAL RESEARCH, 2009, 4 (09): : 847 - 851
  • [46] Detection of Drought-Induced Hickory Disturbances in Western Lin An County, China, Using Multitemporal Landsat Imagery
    Xi, Zhenyuan
    Lu, Dengsheng
    Liu, Lijuan
    Ge, Hongli
    REMOTE SENSING, 2016, 8 (04)
  • [47] Coastline change assessment on water reservoirs located in the Konya Basin Area, Turkey, using multitemporal landsat imagery
    Durduran, S. Savas
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2010, 164 (1-4) : 453 - 461
  • [48] Coastline change assessment on water reservoirs located in the Konya Basin Area, Turkey, using multitemporal landsat imagery
    S. Savas Durduran
    Environmental Monitoring and Assessment, 2010, 164 : 453 - 461
  • [49] Land use classification from multitemporal Landsat imagery using the Yearly Land Cover Dynamics (YLCD) method
    Julien, Y.
    Sobrino, J. A.
    Jimenez-Munoz, J-C
    INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2011, 13 (05) : 711 - 720
  • [50] MULTITEMPORAL ANALYSIS OF SIMULTANEOUS LANDSAT IMAGERY (MSS AND TM) FOR MONITORING PRIMARY PRODUCTION IN A SMALL TROPICAL COASTAL LAGOON
    RUIZAZUARA, P
    PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 1995, 61 (02): : 187 - 198