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Influence of Micro-Climate Parameters on Natural Vegetation – A Study on Orkhon and Selenge Basins, Mongolia, Using Landsat-TM and NOAA-AVHRR Data


 
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1. Title Title of document Influence of Micro-Climate Parameters on Natural Vegetation – A Study on Orkhon and Selenge Basins, Mongolia, Using Landsat-TM and NOAA-AVHRR Data
 
2. Creator Author's name, affiliation, country Murali Krishna Gurram; COWI India Pvt. Ltd., Plot No. 122, Phase-I, Udyog Vihar, Gurgaon, Haryana, India; India
 
2. Creator Author's name, affiliation, country Oyuntuya Sharavjamts; School of Ecology and Technology Development, Mongolian State University of Agriculture; Mongolia
 
2. Creator Author's name, affiliation, country Nooka Ratnam Kinthada; Dept. of Geoinformatics, AdiKavi Nannaya University, Jayakrishnapuram, Rajahmundry, East Godavari; India
 
3. Subject Discipline(s) Earth, Atmosphere and Ocean Sciences
 
3. Subject Keyword(s) Micro-climate Change, NDVI, Landsat TM and NOAA/AVHRR Data
 
3. Subject Subject classification Remote Sensing and GIS Applications
 
4. Description Abstract

A remote sensing study was carried out to map the spatial distribution and intensities of various micro-climate parameters such as surface temperature, surface albedo, precipitation etc., to assess their influence over vegetation health of the region. Remote sensing data pertaining to Landsat-TM and NOAA-AVHRR was used to retrieve the vegetation parameters like NDVI, pasture yield as well as climate parameters like surface temperature and albedo. The study has demonstrated the utility of remote sensing in monitoring the seasonal variations in vegetation growth with respect to meteorological conditions and changes occurring between different periods of same seasons due to change in micro-climate. A direct relationship between micro level variations in the vegetation growth with respect to meteorological conditions in the region was established.

 
5. Publisher Organizing agency, location
 
6. Contributor Sponsor(s)
 
7. Date (YYYY-MM-DD) 2013-07-10
 
8. Type Status & genre Peer-reviewed Article
 
8. Type Type NDVI, Surface Temperature, Albedo analysis for micro-climate change detection
 
9. Format File format PDF
 
10. Identifier Uniform Resource Identifier http://technical.cloud-journals.com/index.php/IJARSG/article/view/Tech-102
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.) Mongolia
 
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