Application of Satellite Imagenary in Forestry for Georgia

Article Sidebar

Cover

Main Article Content

Marika R. Tatishvili
Irine P. Mkurnalidze
Inga G. Samkharadze
Lasha N. Chinchaladze

ანოტაცია

The one of Earth Observing System (EOS) program component is the investigation of influence of Earth vegetation on large-scale global processes. The most applicable product from satellite observation is Normalized Difference Vegetation Index that is used in observation on vegetation. The Normalized Difference Vegetation Index (NDVI) is an index of plant “greenness” or photosynthetic activity, and is one of the most commonly used vegetation indices. Vegetation indices are based on the observation that different surfaces reflect different types of light differently. Photosynthetically active vegetation, in particular, absorbs most of the red light that hits it while reflecting much of the near infrared light. Vegetation that is dead or stressed reflects more red light and less near infrared light. Vegetation indexies are important ecosystem variables widely used in variety of bio-geophysical applications. The Vegetation Health Product (VHP) consists of gridded weekly global vegetation indices (VCI, TCI and VHI) derived from AVHRR GAC orbital data for the global area. The Green Vegetation Fraction (GVF) system was developed to generate GVF as a NOAA-Unique Product (NUP) from data from the Visible Infrared Imager Radiometer Suite (VIIRS) sensor onboard Suomi National Polar-orbiting Partnership (SNPP) satellite, for applications in numerical weather and seasonal climate prediction models.  GVF will be produced as a daily rolling weekly composite at 4-km resolution (global scale) and 1-km resolution (regional scale). Satellite data are used to determine values of above listed indices for Georgian territory.
PDF (English)
საკვანძო სიტყვები:
Satellite data, vegetation index, derived indices, prediction model
გამოქვეყნებული: Dec 3, 2018

Article Details

როგორ უნდა ციტირება
Tatishvili, M. R., Mkurnalidze, I. P., Samkharadze, I. G., & Chinchaladze, L. N. (2018). Application of Satellite Imagenary in Forestry for Georgia. საქართველოს გეოფიზიკური საზოგადოების ჟურნალი, 21(1). Retrieved from https://ggs.openjournals.ge/index.php/GGS/article/view/2484
გამოცემა
ტომ. 21 No. 1 (2018): PHYSICS OF SOLID EARTH, ATMOSPHERE, OCEAN AND SPACE PLASMA
სექცია
სტატიები
PKPApplication::getCCLicenseBadge(https://creativecommons.org/licenses/by-nc/4.0)

წყაროები

Shengelia L., Kordzakhia G., Tvauri G., Tatishvili M., Mkurnalidze I. Peculiarities of the Use of Satellite Information for Early Warning of Natural Meteorological and Hydrological Disasters in Georgia. Bull. Georg. Nat. Acad. Sci., v. 3, issue 1, 2009, pp. 79-83.

Kordzakhia G., Shengelia L., Tvauri G., Tatishvili M., Mkurnalidze I. Remote sensing for early warning of natural meteorological and hydrological disasters and provision of transportation safety over the Black Sea in Georgia. Procedia-Social and Behavioral Sciences, v. 19, 2011, pp. 532-536.

Lomidze N., Janjalia T., Koridze K., Tvauri G., Zilpimiani D. Application of Remote sensing and GIS technologies for study of seasonal snow cover in Georgia. Journal of the Georgian Geophysical Society, Issue (B). Physics of Atmosphere, Ocean, and Space Plasma, ISSN: 1512-1127, v.17b, 2014, pp. 107-111.

Kordzakhia G., Shengelia L., Tvauri G., Tsomaia V., Dzadzamia M. Satellite remote sensing outputs of the certain glaciers on the territory of East Georgia. The Egyptian Journal of Remote Sensing and Space Science, v. 18, issue 1, 2015, pp. S1-S7.

Kordzakhia G., Shengelia L., Tvauri G., Dzadzamia M. Research of Devdoraki Glacier Based on Satellite Remote Sensing Data and Devdoraki Glacier Falls in Historical Context. American Journal of Environmental Protection. Special Issue: Applied Ecology: Problems, Innovations, v. 4, issue 3-1, 2015, pp. 14-21.

Tvauri G., Lomidze N., Jinjolia T., Koridze K. Application of MODIS LST and Aurface Air Temperature Data for Snow Cover Analysis in Georgia. Journal of the Georgian Geophysical Society, Issue (B). Physics of Atmosphere, Ocean, and Space Plasma, ISSN: 1512-1127, v.19 b, 2016, pp. 35-40.

Stankevich S. A., Titarenko O., V., Amiranashvili A., G., Chargazia Kh., Z. Analysis of the Atmosphere Aerosol and Ozone Condition Over Tbilisi Using Satellite Data and Ground Truth Measurements. 14th Ukrainian Conference on Space Research, Uzhgorod, September, 8-12, 2014, Abstracts, Kyiv, 2014, p. 161.

Stankevich A.S., Titarenko O.V., Amiranashvili A.G., Chargazia Kh. Z. Determination of Distribution of Ozone Content in Lower Troposphere and Atmospheric Aerosol Optical Thickness over Territory of Georgia Using Satellite Data and Ground Truth Measurements. Journal of the Georgian Geophysical Society, Issue (B). Physics of Atmosphere, Ocean, and Space Plasma, ISSN: 1512-1127, v.17b, 2014, pp. 26-37.

Stankevich S., Titarenko O., Amiranashvili A., Chargazia Kh. Determination of Atmospheric Aerosol Optical Depth over Territory of Georgia during Different Regimes of Cloudiness Using the Satellite and Ground-Based Measurements Data. Bulletin of the Georgian National Academy of sciences, v. 9, No. 3, 2015, pp. 91-95.

Stankevich S., Titarenko O., Amiranashvili A., Chargazia Kh. Modeling of Ozone Content Distribution in Lower Troposphere over the Territory of Georgia Using the Data of Satellite and Ground Observations. Bulletin of the Georgian National Academy of sciences, v. 9, No. 2, 2015, pp. 54-58.

Tvauri G.A., Jinjolia T.D., Koridze K.J. Application of MODIS Data for Vegetation Cover Analysis in Georgia. Journal of the Georgian Geophysical Society, Issue A. Physics of Solid Earth, ISSN: 1512-1127, v. 20A, 2017, pp. 32-36.

Meladze M., Tatsishvili M., Mkurnalidze I., Kaishauri M. Climate change mitigation modern techniques for forest ecological monitoring. Bulletin of Academy of Agricultural Sciences of Georgia, N 32, vol. 32, ISSN 1512-2743, 2013, pp. 247-251.

Meladze M., Tatsishvili M., Mkurnalidze I., Kaishauri M. Carbon sequestration for deforestation and forest degradation reduction using satellite technologies. International Scientific-Practical Journal "Forestry Bulletin", vol. 8, 2014.

Didan K., Huete A. MODIS Vegetation Index Product Series Collection 5 Change Summary. TBRS Lab., The University of Arizona, 2006.

Huete A., Justice Ch., Wim van Leeuwen. MODIS VEGETATION INDEX (MOD 13) ALGORITHM THEORETICAL BASIS DOCUMENT, Version 3, University of Arizona. University of Virginia, Department of Environmental Sciences, 1999.

NOAA. Office of Satellite and Product Information. National Environmental Satellite, Data and Information Service.