remote sensing

Deep learning for photovoltaic panels segmentation

Due to advanced sensor technology, satellites and unmanned aerial vehicles (UAV) are producing a huge amount of data allowing advancement in all different kinds of earth observation applications.  Thanks to this source of information, and driven by climate change concerns, renewable energy assessment became an increasing necessity among researchers and companies.  Solar power, going from household rooftops to utility-scale farms, is reshaping the energy markets around the globe.  However, the automatic identification of photovoltaic (PV) panels and solar farms' status i

Spatio-temporal analysis of surface water extraction methods reliability using COPERNICUS satellite data

The aim of this research is the comparison and subsequent evaluation of the suitability of using SAR (Synthetic Aperture Radar) and multispectral (MSI) satellite data of the Copernicus program for mapping and accurate identification of surface water bodies. The paper considers sudden changes caused by significant climatological-meteorological influences in the country. The surface guidance extraction methodology includes the standard preprocessing of SAR images and concluding the determination of threshold values in binary mask generation.

Investigation of the mining departments influence of Solotvynsky salt mine SE on the Earth surface, buildings and constructions using satellite radar monitoring

The most dangerous exogenous geological processes (EGP) in terms of the amount of damage caused to economic objects include: landslides, karst, flooding, abrasion, mudslides, etc. The distribution and intensity of EGP are determined by the peculiarities of geological and geomorphological structure of the territory, its tectonic, neotectonic and seismic regime, as well as hydrological, climatic, hydrogeological paleo- and modern conditions. Solotvynsky salt mine is one of the oldest enterprises in Transcarpathia. The field has been exploited since the Roman Empire.

Gis technologies and 3-d simulation in mapping manifestation of exogenic processes in renewable territories

The development of exogenous processes on the Earth's surface is a large-scale problem. Due to the development of exogenous processes there are changes in the composition and structure of the earth's crust and its surface. The destruction of streets, houses and public buildings, roads and railways leads to enormous losses. To predict the development of soil degradation, erosion processes on agricultural lands, which lose annual production areas, leads to the formation of a ravine-beam system and reduces the productive amount of land owned by citizens – is a solution.

Mitigating geolocation errors in nighttime light satellite data and global CO2 emission gridded data

Accurate geospatial modeling of greenhouse gas (GHG) emissions is an essential part of the future of global GHG monitoring systems.  Our previous work found a systematic displacement in the high-resolution carbon dioxide (CO2) emission raster data of the Open-source Data Inventory for Anthropogenic CO2 (ODIAC) emission product.  It turns out this displacement is due to geolocation bias in the Defense Meteorological Satellite Program (DMSP) nighttime lights (NTL) data products, which are used as a spatial emission proxy for estimating non-point source emissions distributions in ODIAC.  Mitig

Monitoring of coniferous forest drying in Precarpathian region using remote sensing data

Purpose. The aim of this research is monitoring of coniferous forests of Tukhlya forestry in Precarpathian region using medium and high resolution satellite images and images obtained from an unmanned aerial vehicle (UAV). Methodology. To monitor the condition of forests of Tukhlya Forestry, a technique based on using satellite images with different spectral characteristics and resolutions, images obtained from UAVs and, accordingly, their processing by different methods, was used.

Technology of optimal site selection for solar photovoltaic power plants using GIS and remote sensing techniques

Purpose. The use of ground-mounted solar photovoltaic (PV) power plants to generate electricity has increased substantially worldwide over the past decade. This growth has been driven by policy incentives such as feed-in tariff, as well as low cost and high performance of solar panels. As the use of solar PV farms grows, the need to find the best locations for them will also increase. Optimally siting PV farms is important for maximizing beneficial characteristics of projects while minimizing negative ones.

Remote sensing of the Earth as a method of cadastral identification of natural resources of the Carpathian region

Basing on application of remote sensing the perspective analysis of management by nature  protection activity of the Carpathian region and adjacent territories in a context of improvement  of cadastral identification of natural and resource potential is carried out.