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  • 标题:SOIL RESOURCE APPRAISAL IN LOWER VELLAR BASIN,TAMIL NADU,INDIA USING REMOTE SENSING TECHNIQUES
  • 本地全文:下载
  • 作者:J. SOMASUNDARAM ; S. NATARAJAN ; K.K. MATHAN
  • 期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 印刷版ISSN:2194-9042
  • 电子版ISSN:2194-9050
  • 出版年度:2000
  • 卷号:XXXIII Part B7(/1-4)
  • 页码:623-628
  • 出版社:Copernicus Publications
  • 摘要:IRS-1B LISS II Geocoded false colour composite (FCC) imageries on 1:50,000 scale corresponding to the Survey of India (SOI) toposheets (58J/15 and 58J/16) were used for soil resource appraisal of the Vellar basin of Pudukottai district, Tamil Nadu. Visual interpretation of FCC imageries was carried out on the base map using imagery interpretation keys and twenty nine Imagery Interpretation Units (IIU's) for the study area were delineated on the base map. The pre-field map was prepared by tracing the base map showing all twenty nine IIU's. Based on the pre-field map the ground truth investigation was carried out. A field trip was made in the study area, each IIU with different soil was marked as a pedon and thirteen such representative pedons were identified for the study area. Some of the interpretation units were found to have similar soil composition, which were regrouped together under one mapping unit. Thus 24 map units were delineated. The landform characters, and morphological properties were recorded and soil samples were collected by horizonwise and analysed for particle-size distribution and other physico-chemical properties by adopting standard analytical procedure. Based on morphological, physical, chemical and exchangeable properties the soil series were classified upto family level as per USDA Soil Taxonomy (Soil Survey Staff 1996). Thirteen pedons were classified in the Orders of Entisols, Inceptisols and Alfisols. Finally a soil map and fertility map was prepared by transferring the boundaries of Image Interpretation Units (IIUs) finalised after field work to the basemap. It could be concluded from the present study that remote sensing technology is a highly dependable tool for soil resource and fertility evaluation studies
  • 关键词:IRS-IB LISS II; Taxonomic grouping; visual interpretation; basin
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