Drought Analysis Using Digital Image Processing & Meteorological Data
| Dublin Core | PKP Metadata Items | Metadata for this Document | |
| 1. | Title | Title of document | Drought Analysis Using Digital Image Processing & Meteorological Data |
| 2. | Creator | Author's name, affiliation, country | Surendra Singh Choudhary; Department of Geomatic Engineering, Indian Institute of Technology, Roorkee, Uttarakhand; India |
| 2. | Creator | Author's name, affiliation, country | P. K. Garg; Department of Geomatic Engineering, Indian Institute of Technology, Roorkee, Uttarakhand; India |
| 2. | Creator | Author's name, affiliation, country | S. K. Ghosh; Department of Geomatic Engineering, Indian Institute of Technology, Roorkee, Uttarakhand; India |
| 3. | Subject | Discipline(s) | Remote sensing and GIS |
| 3. | Subject | Keyword(s) | NDVI, BT, TCI, LST, DEM, Crop Yield, Production |
| 3. | Subject | Subject classification | Digital image processing |
| 4. | Description | Abstract | Meteorological drought is simple absence/deficit of rainfall from the normal. It is the least severe form of drought and is often identified by sunny days and hot weather. Importance of time scale when accessing different types of drought, meteorological drought depends on precipitation deficit and duration of period with precipitation deficit. This study demonstrates observed meteorological based drought indices such as Normalized Deviation (ND), De Martonne’s Index (IA), Pluvothermic Quotient (PQ), Negative Moisture Index (NMI) and Standard Precipitation Index (SPI) values were interpolated to get the spatial pattern of meteorological based drought. Crop yield and production trend was plotted and an equivalent Normalized Difference Vegetation Index (NDVI) threshold was identified to get the agricultural drought risk in Jodhpur district, where the occurrence is high in Jodhpur district. Monthly rainfall data from six stations were used to derive the Standardized Precipitation Index (SPI). The Landsat-7 ETM+ and Landsat-5 TM satellite sensor data was used for calculating Brightness Temperature (BT), Land Surface Temperature (LST). BT was converted to the Vegetation Condition Index (VCI) and the Temperature Condition Index (TCI), which are useful indices for the estimation of vegetation health and drought monitoring. The analysis was carried out for a period of 21 years (1991–2011) and from the SPI analysis it is found that in 2002 all of the area under study was affected by drought with greater intensity, can be classified as extreme and severe drought conditions. |
| 5. | Publisher | Organizing agency, location | |
| 6. | Contributor | Sponsor(s) | |
| 7. | Date | (YYYY-MM-DD) | 2013-09-26 |
| 8. | Type | Status & genre | Peer-reviewed Article |
| 8. | Type | Type | Satellites image processing |
| 9. | Format | File format | |
| 10. | Identifier | Uniform Resource Identifier | http://technical.cloud-journals.com/index.php/IJARSG/article/view/Tech-154 |
| 11. | Source | Journal/conference title; vol., no. (year) | International Journal of Advanced Remote Sensing and GIS; Volume 2 (Year 2013) |
| 12. | Language | English=en | en |
| 14. | Coverage | Geo-spatial location, chronological period, research sample (gender, age, etc.) | |
| 15. | Rights | Copyright and permissions |
Copyright Terms & Conditions Authors who publish with this journal agree to the following terms: a. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal. b. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal. c. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work Cloud Publications reserves the right to amend/change the copyright policy; with/without notice.
|