A5045083607- Remote Sensing in Agriculture
- Smart Agriculture and AI
- Remote Sensing and LiDAR Applications
- Agriculture and Biological Studies
- Spectroscopy and Chemometric Analyses
- Crop Yield and Soil Fertility
- Plant Water Relations and Carbon Dynamics
- Impact of AI and Big Data on Business and Society
- Soil and Land Suitability Analysis
- Ocean Acidification Effects and Responses
- COVID-19 diagnosis using AI
- Urban Heat Island Mitigation
- Marine and environmental studies
- COVID-19 Digital Contact Tracing
- Solar Radiation and Photovoltaics
- Data-Driven Disease Surveillance
- Precipitation Measurement and Analysis
- Land Use and Ecosystem Services
- Leaf Properties and Growth Measurement
- Forest Management and Policy
- Species Distribution and Climate Change
- Remote Sensing and Land Use
- Wildlife Ecology and Conservation
- Agricultural Productivity and Crop Improvement
- Climate variability and models
Bulgarian Academy of Sciences
2020-2025
Space Research and Technology Institute
2020-2025
Above-ground biomass (AGB) is considered an essential climate variable that underpins our knowledge and information about the role of forests in mitigating change. The availability satellite-based AGB change (ΔAGB) products has increased recent years. Here we assessed past decade net ΔAGB derived from four global multi-date maps: ESA-CCI maps, WRI-Flux model, JPL time series, SMOS-LVOD series. Our assessments explore use different reference data sources with re-measurements within decade....
Barley is an ecologically adaptable crop widely used in agriculture and well suited for organic farming. Satellite imagery from Sentinel-2 can support monitoring yield prediction, optimising production processes. This study compares two types of data—standard (S2) data with 10 m 20 resolution Deep Resolution 3 (S2DR3) 1 resolution—to assess their (i) relationship organically grown barley (ii) utility winter mapping. Vegetation indices were generated analysed across different phenological...
The aim of this study is to predict and map winter wheat yield in the Parvomay municipality, situated Upper Thracian Lowland Bulgaria, utilizing satellite data from Sentinel-2. main crops grown research area are wheat, rapeseed, sunflower, maize. To distinguish fields accurately, we evaluated classification methods such as Support Vector Machines (SVM) Random Forest (RF). These were applied multispectral acquired by Sentinel-2 satellites during growing season 2020–2021. In accordance with...
The use of remote sensing methods for monitoring, managing, and decision support in agriculture is increasingly intensifying. With the advancement technologies, they become more accessible, while quality security obtained data are improving. Striving to improve environment its preservation, expanding areas occupied by organic farming will allow us achieve these goals. At same time, this type provides healthy safe food. For reason, it great importance start applying satellite as quickly...
Abstract This study investigates the potential of Earth observation research in improving air quality management and supporting telemedicine initiatives response to COVID-19 pandemic. Utilizing ground stations Sofia Burgas, we collected hourly measurements NO2, CO, PM10, PM2.5. Satellite data from TROPOMI-S5p ground-based observations were integrated assess spatial distribution surface particulate matter concentrations. Our results demonstrate feasibility leveraging satellite-derived...
Phenocams that capture images of a given area in the RGB or near-infrared (NIR) spectrum have been used for more than decade to estimate phenology natural landscapes and crop fields. The aim our study is phenological parameters, start (SOS) end (EOS) season, barley, from NIR Phenocam compare them with in-situ observations two sites, one growing season 2014/2015 other 2021/2022. Time series Green Chromatic Coordinate (GCC) Normalized Difference Vegetation Index (NDVI) were computed then...
In the presented methodology for aerospace monitoring of autumn wheat crops, grown under conditions organic farming, ways applying ground and methods are discussed in detail. This includes field experiments, phenological observations, GIS remote sensing data (data from Sentinel-2 satellite WingtraOne unmanned aerial vehicle with MicaSense RedEdge-MX multispectral camera RGB camera) statistical analyses. order to achieve aim objectives study, an experiment was conducted on a organically...
In this study, an overview is made and a comparative analysis of articles, reports materials dealing with organic farming LWC, in the period 1970 to 2021 performed. After analysing literature, following conclusions are made: Cereals occupy particularly important place farming, main advantages their cultivation easy techniques, relatively mechanical weed control, disease control through rational crop rotation, opportunities for biological major pests. The soils better structured than those...
Organic farming is a much more sustainable system than conventional farming. It part of humanity's efforts to preserve biodiversity and provides healthy safe food humans. Remote sensing methods are widely used in agriculture. Their use will help the transition from organic They can farmers choose most suitable place build an farm. very powerful tool for weed control be determine level stress that crops experience. provide good opportunity forecast yields on farms. optimize fertilization...
Due to climate changes, a number of changes are observed in the world's oceans, such as change amount thermal energy and water temperature, sea ocean currents, well an increase acidification. These lead habitat for marine ecosystems. Since beginning new millennium, many scientific researches have been focused on monitoring studying acidification important indicator change. The use satellite remote sensing data study is gaining wide application emerging major research method near future. It...
In the presented methodology for aerospace monitoring of autumn wheat crops, grown under conditions organic farming, ways applying ground and methods are discussed in detail. This includes field experiments, phenological observations, GIS remote sensing data (data from Sentinel-2 satellite WingtraOne unmanned aerial vehicle with MicaSense RedEdge-MX multispectral camera RGB camera) statistical analyses. order to achieve aim objectives study, an experiment was conducted on a organically...
Biomass is monitored in many agricultural studies because it closely related to the growth of crop. The technique digital repeat photography that continuously capture images a given area with an RGB or near-infrared enabled cameras, Phenocams, has been used for more than decade mainly estimate phenology. Studies have found relationship between Phenocam data and above-ground dry biomass. In this context we investigate modeling barley fresh above underground biomass Green chromatic coordinate...