Special Column:Celebration of the 70th Anniversary of IGSNRR, CAS

Landscape Ecological Classification Using Vegetation Indices Based on Remote Sensing Data:A Case Study of Ejin Natural Oasis Landscape

  • 1. College of Southeast Land Management,Zhejiang University,Hangzhou 310029,China;
    2. Institute of Geographic Sciences and Natural Resources Research,CAS,Beijing 100101,China;
    3. Institute of Applied Ecology, CAS,Shenyang 110016,China;
    4. College of Resources and Environment Sciences,Hebei Normal University,Shijiazhuang 050016,China

Received date: 2005-09-16

  Revised date: 2006-01-05

  Online published: 2006-06-25


Study on landscape ecological classification is the basis for understanding landscape patterns and ecological functions in landscape ecology.And the application of remote sensing for classifying landscape ecological types was one of the most important methods in landscape ecology all along.For finding a way to enhance the ability of landscape ecological classification,this study will try using different vegetation indices and other band ratio indices to join the classification process.In this paper,with remote sensing and GIS techniques,Ejin natural oasis landscape ecological classification was carried out using Landsat7 Enhanced Thematic Mapper Plus data in 2001.Firstly,remote sensing image data preparation was done based on image masking,geometric correction and radiometric correction.Then,according to Ejin natural oasis landscape ecological classification system,unsupervised classification,vegetation indices and band ratio indices clustering,supervised classification and landscape types overlaying and integrating,orderly,were executed to interpret and classify the map of classification of Ejin natural oasis landscape in 2001.In order to use all the bands of original remote sensing image data,five vegetation indices such as NDVI,DVI,RVI,IPVI,SAVI and nine band ratio indices such as Index1,Index2,...,Index9 were selected to participate in the interpretation of landscape ecological types.Results show that,NDVI,DVI,IPVI,SAVI,RVI,Index5 and Index6,with similar characte-ristics,can obviously separate landscape types with vegetation ingredients.Index1 to Index4 have better spatial separability and can easily identify different landscape types.For Index7,Index8 and Index9,owing to their worse spatial separability,they can difficultly differentiate landscape types.In conclusion,during the processes of landscape ecological classification based on remote sensing image data,more vegetation indices assisting can not only find new information,but can also clearly enhance the ability of interpretation and classification of landscape ecological types,especially for those oasis landscapes in arid regions.

Cite this article

CAO Yu, CHEN Hui, OUYANG Hua, XIAO Du-ning . Landscape Ecological Classification Using Vegetation Indices Based on Remote Sensing Data:A Case Study of Ejin Natural Oasis Landscape[J]. JOURNAL OF NATURAL RESOURCES, 2006 , 21(3) : 481 -488,501 . DOI: 10.11849/zrzyxb.2006.03.019