Mapping the vegetation soil and water region analysis of Tuticorin district using Landsat images

  • Authors

    • Cynthia J
    • Suguna M
    • Senthil S
    2017-12-31
    https://doi.org/10.14419/ijet.v7i1.3.10663
  • Remote sensing, Landsat, Water, Index, Soil Index

  • Abstract

    Mapping of water bodies, soil and vegetation region from satellite imagery has been widely explored in the recent past. Several approaches have been developed to detect water bodies and identify the soil types from different satellite imagery varying in spatial, spectral, and temporal characteristics. Due to the introduction of a New Operational Land Imager (OLI) sensor on Landsat 8 with a high spectral resolution and improved signal-to-noise ratio, the quality of imagery sensed is increased. Its imagery produces a better result in classifying the soil and water regions. The current study puts forward an approach to map water bodies, soil and vegetation region from a Landsat satellite imagery using the various processing models. In this study, to identify the water region and soil region, we go with water index, vegetation index and soil index measures. By using reflectance bands, it is easy to analyze the water, vegetation and soil regions. The proposed method accurately and quickly discriminated the water, vegetation and soil region from other land cover features.

  • References

    1. [1]. Corey Baker, Rick Lawrence, Clifford Montagne, and Duncan Patten,†Mapping Wetlands And Riparian Areas Using Landsat Etm1 Imagery And Decision-Tree-Based Models†WETLANDS, Vol. 26, No. 2, June 2006, pp. 465–474.

      [2]. ErtugrulAksoy, GokhanOzsoy and M. SabriDirim,†Soil mapping approach in GIS using Landsat satellite imagery and DEM data†African Journal of Agricultural Research Vol. 4 (11), pp. 1295-1302, November, 2009.

      [3]. Feyisa, Gudina L., Henrik Meilby, Rasmus Fensholt, and Simon R. Proud. "Automated Water Extraction Index: A new technique for surface water mapping using Landsat imagery." Remote Sensing of Environment 140 (2014): 23-35.

      [4]. Hasmadi, Mohd, H. Z. Pakhriazad, and M. F. Shahrin. "Evaluating supervised and unsupervised techniques for land cover mapping using remote sensing data." Geografia-Malaysian Journal of Society and Space 5, no. 1 (2017).

      [5]. Leif G. Olmanson, Marvin E. Bauer, Patrick L. Brezonik (2008),â€A 20-year Landsat water clarity census of Minnesota's 10,000 lakes†Remote Sensing of Environment 112 4086–4097.

      [6]. M. Ustunera, F.B.Sanli , S.Abdikan, M.T.Esetlili , Y.Kurucu,†Crop Type Classification Using Vegetation Indices Of Rapideye Imagery†The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-7, 2014.

      [7]. Manap, Mohamad Abd, Haleh Nampak, Biswajeet Pradhan, Saro Lee, Wan Nor Azmin Sulaiman, and Mohammad Firuz Ramli. "Application of probabilistic-based frequency ratio model in groundwater potential mapping using remote sensing data and GIS." Arabian Journal of Geosciences 7, no. 2 (2014): 711-724.

      [8]. Park, Taejin, Sangram Ganguly, Hans Tømmervik, Eugénie S. Euskirchen, Kjell-Arild Høgda, Stein Rune Karlsen, Victor Brovkin, Ramakrishna R. Nemani, and Ranga B. Myneni. "Changes in growing season duration and productivity of northern vegetation inferred from long-term remote sensing data." Environmental Research Letters 11, no. 8 (2016): 084001.

      [9]. S. S. Panda, V. Garg and I. Chaubey (2004),â€Artificial Neural Networks Application in Lake Water Quality Estimation Using Satellite Imageryâ€Journal of Environmental Informatics 4 (2) 65-74.

      [10].Thenkabail, Prasad. "Hyperspectral remote sensing of vegetation and agricultural crops." (2017).

  • Downloads

  • How to Cite

    J, C., M, S., & S, S. (2017). Mapping the vegetation soil and water region analysis of Tuticorin district using Landsat images. International Journal of Engineering & Technology, 7(1.3), 161-165. https://doi.org/10.14419/ijet.v7i1.3.10663

    Received date: 2018-03-26

    Accepted date: 2018-03-26

    Published date: 2017-12-31