Author : Mrs. Chitra. M. Gaikwad 1
Date of Publication :26th October 2017
Abstract: Soil contains organic matter, clay and particles of rock. The composition of soil varies physically as well as chemically which is important for plant growth. The traditional techniques to measure soil contents are time consuming while remote sensing provides efficient techniques for mapping these contents. The visible infrared, near infrared and short wave infra red bands of electromagnetic spectrum are used to study the soil without destructing its properties. In this paper we present the study of soil spectral signatures. The study of soil is carried out using spectral signatures obtained by using ASD field spectrometer. The association between the spectral data and the soil contents is carried out. The soil samples were collected from Shendra and Chikhalthana in Aurangabad district Maharashtra state (India). Principal component analysis is applied to these spectra for classification purpose.
Reference :
-
- Henrique Bellinaso, José Alexandre Melo Demattê &Suzana Araújo Romeiro, “Soil Spectral Library And Its Use In Soil Classification”, R. Bras. Ci. Solo, 34:861-870, 2010
- Heng Dong, Chao Chen, Jinliang Wang, Qiming Qin, Hongbo Jiang, Ning Zhang, Mingchao Liu, “Study on quantitative retrieval of soil nutrients”, Institute of remote Sensing and Geographic Information System, 978-1-4577- 1005-6/11, IEEE, 2011, pp. 3330- 3333
- Debsunder Dutta, Allison E. Goodwell, Praveen Kumar, James E. Garvey, Robert G. Darmody, David P. Berretta, And Jonathan A. Greenberg, “On The Feasibility Of Characterizing Soil Properties From Aviris Data”, IEEE Transactions On Geoscience And Remote Sensing, Vol. 53, No. 9, September 2015, 5133 – 5147
- Offer Rozenstein, Tarin Paz-Kagan, Christoph Salbach, and Arnon Karnieli, “Comparing the Effect of Preprocessing Transformations on Methods of Land-Use Classification Derived From Spectral Soil Measurements”, IEEE Journal Of Selected Topics In Applied Earth Observations And Remote Sensing, Vol. 8, No. 6, June 2015, pp. 2393-2404
- Bradleyw. Kimmelandgladimirv.G.Baranoski, “A Practical Analytical Approach for Predicting Sand Spectral Signatures”, IEEE IGARSS 2008, 978-1-4244-2808-3, 2008, pp.668-671
- Ádám Csorba, Kornél D. Szalay, László Fenyvesi, GödöllÅ‘, Tessedik S. u,VinceLáng, Erika Michéli, GödöllÅ‘, Páter K. u., , “Identification of soil classification units from VIS-NIR spectral signatures, 20th World Congress of Soil Science, 2014
- Jerzy Cierniewski, Krzysztof KuÅ›nierek, “Influence Of Several Soil Properties On Soil Surface Reflectance” QUAESTIONES GEOGRAPHICAE 29/1, 2010
- Nereu Augusto Streck, Donald Rundquist,Joel Connot, “Spectral Signature of Selected Soils”, Revista Brasileira de Agrometeorologia, Santa Maria, v. 11, n. 1, ISSN 0104- 1347, p. 181-184, 2003
- Kamolchanok Panishkan, Kanokporn Swangjang, Natdhera Sanmanee, and Daoroong Sungthong,“Principal Component Analysis for the Characterization in the Application of Some Soil Properties”, International Journal of Environmental, Chemical, Ecological, Geological and Geophysical Engineering Vol:6, No:5, 2012, 279 -281
- Ramdas D. Gore, Sunil S. Nimbhore, Bharti W.Gawali, “Understanding Soil Spectral Signature Though RS and GIS Techniques”, International Journal of Engineering Research and General Science Volume 3, Issue 6, NovemberDecember, 2015, ISSN 2091-2730