A5064088418- Remote Sensing in Agriculture
- Urban Heat Island Mitigation
- Rangeland Management and Livestock Ecology
- Spectroscopy and Chemometric Analyses
- Land Use and Ecosystem Services
- Marine and environmental studies
- Species Distribution and Climate Change
- Geochemistry and Geologic Mapping
- Aquatic and Environmental Studies
- Hungarian Social, Economic and Educational Studies
- Hydrological Forecasting Using AI
- Coastal and Marine Dynamics
- Russia and Soviet political economy
- Mineral Processing and Grinding
- Heavy Metal Exposure and Toxicity
- Remote-Sensing Image Classification
- Geographic Information Systems Studies
- Heavy Metals in Plants
- Leaf Properties and Growth Measurement
- Agricultural Economics and Policy
- Soil Geostatistics and Mapping
- Soil and Land Suitability Analysis
- Urban Green Space and Health
- Ecology and Vegetation Dynamics Studies
- Building Energy and Comfort Optimization
Center for Ecological Noosphere Studies
2017-2023
National Academy of Sciences of Armenia
2017-2023
Environmental issues become an increasing global concern because of the continuous pressure on natural resources. Earth observations (EO), which include both satellite/UAV and in-situ data, can provide robust monitoring for various environmental concerns. The realization full information potential EO data requires innovative tools to minimize time scientific knowledge needed access, prepare analyze a large volume data. Data Cube (DC) is new paradigm aiming realize it. article presents...
Shoreline changes are important indicators of natural and manmade impacts on inland waters particularly lakes. Man-induced in Lake Sevan water level during the 20th century affected not only ecological status but also near-shore areas. This article considers a long-term study shoreline that occurred between 1973 2015. The Normalized Difference Water Index (NDWI) was applied to delineate according periods lake fluctuation from multi-temporal Landsat images Historical shorelines were analyzed...
Machine learning (ML) was used to assess and predict urban air temperature (Tair) considering the complexity of terrain features in Yerevan (Armenia). The estimation performed based on Partial Least-Squares Regression (PLSR) model with a high number (30) input variables. relevant parameters include newly purposed modification spectral index IBI-SAVI, which turned out strongly impact Tair prediction together land surface (LST). Cross-validation analysis predictions across station-centered...
Machine Learning (ML) was used to assess and predict urban air temperature (Tair) considering the complexity of terrain features in Yerevan (Armenia). The estimation performed based on PLSR model with a high number (30) input variables. relevant parameters include newly purposed modification spectral index IBI-SAVI, which turned out be strongly impacting Tair prediction together land surface (LST). Cross-validation analysis predictions across station-centered 1000m circular area revealed...
The main goal of this research was to estimate heavy metals (HMs) (molybdenum (Mo), copper (Cu), nickel (Ni), cadmium (Cd)) contents in crop leaves through multispectral satellite imagery. During the acquisition a SPOT 7 image (28 July 2017) situ sampling (38 samples) done from potatoes and beans growing close mining town Kajaran (Armenia). To HMs contents, multivariate regression (multiple linear (MLR), partial least squares (PLSR)), artificial neural network (ANN) were used. As input data...
This study was aimed to assess the spatio-temporal dynamic of ME using remote sensing methods. SPOT and AVHRR satellite data were used. Average annual, monthly decade precipitation temperature obtained between 1982-2014 from 5 meteorological stations NDVI, Vegetation Condition Index (VCI), Temperature (TCI) Health (VHI) calculated compared with data. Analyzing dynamics average VCI, TCI, VHI for entire area Syunik marz (Armenia) has indicated that it a cyclic character growth trend. NDVI VCI...
Aim of this study is to predict heavy metal (HM) concentrations in soils and plants using field remote sensing methods. The studied sites were an industrial town Kajaran city Yerevan. research also included sampling leaves two tree species exposed different pollution levels determination contents HM lab conditions. obtained spectral values then collated with the sampled Yerevan, statistical analysis was done. Consequently, Zn Pb have a negative correlation coefficient (p <0.01) 2498 nm...
As is known, chlorophyll an important biophysical parameter used to monitor the overall physiological status of plants. The aim this research was study potential UAV multispectral images for estimating contents leaf in vineyards. For purpose, a flight conducted (eBee SQ with Parrot Sequoia camera) and simultaneously in-situ measurements content vine were performed using MC-100 Chlorophyll Meter. A total 51 samples collected: each sample representing average 5 from top single plant. Pearson...
This study aims to assess toxic elements’ contents in fresh fruit and vegetable, as well related potential health risks the adult population Ararat region. In frame of research, transfer elements from soil plants was evaluated non carcinogenic food consumption were assessed. The results indicated that only case apple there is a low level non-carcinogenic risk As exposure. Meanwhile, multifood multi-element ingestion cases, reported both for Pb Further comprehensive assessments considering...