G A R E G I N T E P A N O S Y A N Center for Ecological-Noosphere Studies NAS RA
Multidisciplinary approaches of GIS and Remote Sensing technologies in
environmental sciences
Tbilisi, Georgia 11. 11. 2016
XVII International User Conference of Geoinformation Systems and Remote Sensing
GIS and Remote Sensing DepartmentGEOGRAPHIC
www.cens .am
Environmental geochemistry
Bioenergy and Feed Resources
Biochemistry
Radioecology
Food chain risk assessment
GIS and Remote Sensing TechnologiesCENS is an absolutely central
player in the field of environmentalresearch in Armenia. Being agovernment’s expert body and serviceprovider, the Centre coordinates many ofnational research activities in the field.
Center for Ecological-Noosphere Studies of the National Academy of Sciences RA
GEOGRAPHIC
Assessing and revealing the dynamic of landscape changes.
Remote sensing of the pollution of separate environmental compartments (water, soil and plants, crops).
Land-use assessment, providing solutions for the economically “competent” planning and management of agricultural resources.
Remote diagnosis of productivity of natural pastures and land degradation.
Efficient data management and data sharing adopting international standards from the Open Geospatial Consortium (OGC) (WMS, WFS, WCS) and International
Organization for Standardization (ISO 19139, 19115)
Main activities
Assessing the territories from positions of their suitability for site planning with civic, industrial and recreation purposes.GEOGRAPHIC
Remote diagnosis of productivity of natural pastures
GEOGRAPHIC
GEOGRAPHIC
N0 of site Area (ha) Name of site Herd Grazing periodGrazingdays
Height of stubble (cm)
entering withdrawal
1 25 Goozh karap1 LHC 1-2mid May
mid August5207 12 8
2 23 Goozh karap 2 LHC 1-2late May
late August 4822 12 8
3 25 Polozner 1 LHC 1-2mid June
mid September5101 12 8
13 15 Gholtooghi pos LHC 1-2late June
late September3543 12 8
15 16 Tapan yoord 2 LHC 1-2mid July
mid October3620 12 8
16 29 Troosikner 1 LHC 1-2late July
late October6367 12 8
A grazing schedule for large horned cattle (LHC) and small horned cattle (SHC) of a rural community (1st year).
GEOGRAPHIC
In situ and remote observation systems of the main environmental compartments (water, soil and plants).
WorldView-2 image of
16 June 2011
GEOGRAPHIC
In situ and remote observation systems of the main environmental compartments (water, soil and plants).
GEOGRAPHIC
HM Spectral bands (nm) Correlation coefficient (R)
Co 770-895 -0,58Fe 770-895 -0,59Pb 400-450 0,59Cr 450-510 0,74Ti 585-625 -0,20Cu 770-895 -0,64Mo 630-690 -0,25Zn 400-450 0,52Sr 860-1040 0,39V 585-625 -0,54Zr 860-1040 0,38Ba 585-625 -0,22Mn 630-690 0,34As 770-895 -0,50W 630-690 -0,59
In situ and remote observation systems of the main environmental compartments (water, soil and plants)
GEOGRAPHIC
Asmaryan Sh., Warner T., Muradyan V., Nersisyan G.Mapping tree stress associated with urban pollution using the WorldView-2 Red Edge band.Remote Sensing Letters, V. 4, N2, 2013, 200-209 http://dx.doi.org/10.1080/2150704X.2012.715771
“1st GlobalSoilMap 2013”, Orleans, France, October 6-9, 2013Asmaryan Sh. G., Muradyan V. S., Sahakyan L.V. Saghatelyan A. K. Warner Timothy. Development of remote sensing methods for assessing and mapping soil pollution with heavy metals.// Proceedings of the 1st GlobalSoilMap Conference. CRC Press/Balkema, Taylor&Francis Group, 429-432.
Publications
GEOGRAPHIC
In situ and remote observation systems of the main environmental
compartments (water, soil and plants).
Time-series analysis of LANDSAT 8 OLI images
GEOGRAPHIC
Land degradation assessment
Pasture degradation map
RS data
Field data
FVC, bare soils fractions, surface rock cover
GEOGRAPHIC
Integration into GLOBAL Initiatives:cooperation and networking
Project proposal - SDI---Moun-tEro
Developing Spatial Data Infrastructure: an effective tool for assessing erosion of
mountainous territories. aimed to
• Adopting an integrated approach ofmonitoring the ecological state ofmountainous farmlands in South Caucasusand Central Asia using high-resolutionRemote Sensing Data (RSD).
• Improving a state-of-the-art Spatial DataInfrastructure (SDI) at the leadingArmenian, Georgian and Tajikorganizations able to analyze the data andpresent the results to stakeholders.
APPROVED WITHOUT FUNDING!!!
aimed to better understand the vulnerability andstability of inland water ecosystems throughregular remote monitoring in order to buildcapacity to use this knowledge for moreeffective decision making.
Project proposal
Collaborative Data Innovations for Sustainable Development for pilot
funding
HAGHLY RANKED AND KEPT AS ALTERNATE PENDING DECISION BY
JANUARY 2017
GEOGRAPHIC
