Forest Canopy Density and ASTER DEM based Study for Dense Forest Investigation using Remote Sensing and GIS Techniques around East Singhbhum in Jharkhand, India
| Dublin Core | PKP Metadata Items | Metadata for this Document | |
| 1. | Title | Title of document | Forest Canopy Density and ASTER DEM based Study for Dense Forest Investigation using Remote Sensing and GIS Techniques around East Singhbhum in Jharkhand, India |
| 2. | Creator | Author's name, affiliation, country | Jai Kumar; Department of Remote Sensing, Birla Institute of Technology, Ranchi, Jharkhand, India |
| 2. | Creator | Author's name, affiliation, country | Paras Talwar; Department of Remote Sensing, Birla Institute of Technology, Ranchi, Jharkhand, India |
| 2. | Creator | Author's name, affiliation, country | Krishna A. P.; Department of Remote Sensing, Birla Institute of Technology, Ranchi, Jharkhand, India |
| 3. | Subject | Discipline(s) | |
| 3. | Subject | Keyword(s) | Landsat 8; FCD; SI; BSI; Remote Sensing; Aster DEM; GIS |
| 4. | Description | Abstract |
In this research paper Forest Canopy Density (FCD) and Aster DEM monitoring of dense forest is carried out in East Singhbhum district is situated at the southeast corner of Jharkhand. This model calculates forest canopy density using the three indices of bare soil index (BSI), shadow index (SI) and vegetation index. For this, the LANDSAT 8 images are used. At first, the dense forest map was prepared by using forest canopy density modeling whose overall accuracy is 86 to 90%. Aster DEM is used to calculate Aspect, Elevation, Hillshade maps. Aspect, Elevation and Hillshade map point out the dense forest from our region. At last, the change in area of dense forest is distinguished by using the FCD model map and map formed by interpretation Aspect, Elevation, Hillshade map. |
| 5. | Publisher | Organizing agency, location | |
| 6. | Contributor | Sponsor(s) | |
| 7. | Date | (YYYY-MM-DD) | 2015-06-01 |
| 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-393 |
| 11. | Source | Journal/conference title; vol., no. (year) | International Journal of Advanced Remote Sensing and GIS; Volume 4 (Year 2015) |
| 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.
|