• DocumentCode
    2783741
  • Title

    Hyperspectral degraded soil line index and soil degradation mapping in agriculture-pasture mixed area in Northern China

  • Author

    Wang, Jing ; Yuhuan Li ; Yongqi Chen ; Ting He ; Lv, Chunyan

  • Author_Institution
    Key Lab. of Land Use, China Inst. of Land Surveying & Planning, Beijing
  • fYear
    2008
  • fDate
    June 30 2008-July 2 2008
  • Firstpage
    1
  • Lastpage
    10
  • Abstract
    Land degradation is a major problem world-wide. Soil degradation is the core of land degradation. Soil degradation at regional scale is related to susceptibility to erosion, soil suitability, and soil characteristics. There is a pressing need for an objective measure on land degradation at regional scale. The study area is in Hengshan county in ShanXi province, where is in the agriculture-pasture mixed area in Northern China with complex physical geographical situation. On the basis of discussing the spectrum feature of soils and soil line parameters and analyzing the spectrum feature parameters responding to land degradation, the study is to develop and evaluate a spectral approach for soil features for degraded soil using Hyperion by exploiting the potential of its red bands and near infrared bands. This index called Degraded Soil Line Index (DSLI) is based on SAM classification approach and the soil line concept. The potential of Hyperion image data for mapping soil degradation through the application of this spectral index and the spectral angle mapping (SAM) approaches in semi-arid area of North China will also be compared and investigated. It was indicated that results showed that both the SAM and DSLI approaches have the ability to map soil degradation and clearly show the degraded soil class. It also showed the difference between the DSLI and SAM methods is significant, and showed the interest and the contribution of the DSLI index in the study of land degradation. The validation of the results obtained with the DSLI index and soil samples served as an additional tool showed that that the map of distribution of land degradation types using DSLI method depends on the physico-chemical characteristics of the different classes. It indicated that the highly degraded soils are associated with low soil organic matter and available phosphorus, high slope gradient and sand particle percentage and total phosphorus.
  • Keywords
    environmental factors; erosion; geophysical techniques; remote sensing; soil; vegetation; DSLI; Hengshan county; Hyperion image data; Hyperion near infrared band; Hyperion red band; SAM classification; Shanxi province; agriculture-pasture mixed area; degraded soil class; erosion susceptibility; hyperspectral degraded soil line index; northern China; objective land degradation measure; regional scale soil degradation; sand particle percentage; slope gradient; soil available phosphorus; soil characteristics; soil degradation mapping; soil line parameters; soil organic matter; soil spectrum feature; soil suitability; spectral angle mapping; spectrum feature parameters; Earth; Hyperspectral imaging; Hyperspectral sensors; Infrared spectra; Land use planning; Pressing; Remote monitoring; Remote sensing; Soil measurements; Thermal degradation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Earth Observation and Remote Sensing Applications, 2008. EORSA 2008. International Workshop on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2393-4
  • Electronic_ISBN
    978-1-4244-2394-1
  • Type

    conf

  • DOI
    10.1109/EORSA.2008.4620328
  • Filename
    4620328