Creation of Soil Spectral Library for Marathwada Region
| Dublin Core | PKP Metadata Items | Metadata for this Document | |
| 1. | Title | Title of document | Creation of Soil Spectral Library for Marathwada Region |
| 2. | Creator | Author's name, affiliation, country | Ramdas D. Gore; Department of Computer Science and IT, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, Maharashtra, India |
| 2. | Creator | Author's name, affiliation, country | Reena H. Chaudhari; Department of Computer Science and IT, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, Maharashtra, India |
| 2. | Creator | Author's name, affiliation, country | Bharti W. Gawali; Department of Computer Science and IT, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, Maharashtra, India |
| 2. | Creator | Author's name, affiliation, country | (doi: 10.23953/cloud.ijarsg.60) |
| 3. | Subject | Discipline(s) | |
| 3. | Subject | Keyword(s) | LDA; Spectral Signature; Spectroradiometer; Soil Property |
| 4. | Description | Abstract |
This paper reports the development of the soil spectral library using Analytical Spectral Device (ASD) FieldSpec 4 Spectroradiometer with 350-2500 nm wavelength band. In this experiment we have used visible and Near-infrared band. The particular instrument is used to analyze the chemical properties of soil such as Carbon (C), Nitrogen (N), Phosphorus (P), and physical properties of soil such as soil texture (sand, silt, clay) and moisture content. It is observed that physical and chemical properties can be analyzed using hyperspectral band. The database used for experiment have 80 samples of soil which are collected from Aurangabad, Jalna, Parbhani, Hingoli, Nanded, Lature, Osmanabad and Beed from Marathwada region of Maharashtra state with their GPS coordinates. Linear Discriminant Analysis (LDA) technique is implemented for classification of soil spectral signature of chemical properties. Soil texture of Marathwada region comes under the silt clay loam. We got the 100% accuracy of Phosphorus content, where as Carbon and Nitrogen content found 75%, 87% respectively for Marathwada region. |
| 5. | Publisher | Organizing agency, location | |
| 6. | Contributor | Sponsor(s) | |
| 7. | Date | (YYYY-MM-DD) | 2016-06-27 |
| 8. | Type | Status & genre | Peer-reviewed Article |
| 8. | Type | Type | |
| 9. | Format | File format | |
| 10. | Identifier | Uniform Resource Identifier | http://technical.cloud-journals.com/index.php/IJARSG/article/view/Tech-629 |
| 11. | Source | Journal/conference title; vol., no. (year) | International Journal of Advanced Remote Sensing and GIS; Volume 5 (Year 2016) |
| 12. | Language | English=en | en |
| 14. | Coverage | Geo-spatial location, chronological period, research sample (gender, age, etc.) | |
| 15. | Rights | Copyright and permissions |
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