Monitoring of Short-Lived Snow Coverage by Radar and Optical Data From Sentinel-1 and Sentinel-2 Satellites

Spasova, Temenuzhka; Nedkov, Roumen

doi:10.32006/eeep.2017.2.1319

Cited by 4 publications

(6 citation statements)

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“…Figure 16 (A, B) SAR images in dB SAR surface profiles cover the areas of interest (figure 17) and are in two polarizations to demonstrate that there is a difference in values, for homogeneous areas it is more appropriate to use vh, the presence of flooded areas vv polarization 41,42,43,44 . The difference in moisture is clearly visible (figure 18).…”

Section: B) Gorna Mahalamentioning

confidence: 99%

Monitoring of renewable energy sources with remote sensing, open data, and field data in Bulgaria

Spasova,

Dancheva,

Avetisyan

et al. 2023

Image and Signal Processing for Remote Sensing XXIX

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Monitoring through satellite data, in situ (including spectrometer data, GPS, thermal camera) , open data, data from various devices and Unmanned Aerial Vehicles (UAV) in the selected anthropogenic sites is of extremely high ecological importance for tracking natural processes, the consequences of climate changes and the creation of a useful model for the analysis of spectral characteristics based on machine learning. The timeliness of the data and the spatial extent of the observed objects allow satellite information to be reliable in monitoring and making predictions about the risk and potential risk of natural disasters, rise of average air temperatures and anthropogenic pollution. The sites were pre-marked based on open data from Non-Governmental Organizations (NGOs) and administration. Data from the Multispectral Instrument (MSI) of the Sentinel 2 platform and SAR of the European Space Agency's Copernicus program, spectrometer (380 nm to 780 nm) and drone data were used. Landsat sensors and data from Sentinel 3 (EUMETSAT) were used to calculate the surface temperature of renewable energy sites such as photovoltaic parks. Data from different years were used in order to track the studied territories according to NUTS2. The result is the development of a useful hybrid model for spectral analysis and tracking of spatial dynamics and surface changes of objects of interest based on satellite and field surveys. Data from the ground mobile and autonomous weather station AWG 1, powered by an environmentally friendly magnesium-air battery was improved specifically for the project. Another important task is the creation of an energy atlas for the benefit of the Earth's Digital Twins. The data is part of an open data catalog of the NGO Eco Global Monitoring TA2.

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Section: B) Gorna Mahalamentioning

confidence: 99%

Monitoring of renewable energy sources with remote sensing, open data, and field data in Bulgaria

Spasova,

Dancheva,

Avetisyan

et al. 2023

Image and Signal Processing for Remote Sensing XXIX

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“…, where σ is the microwave reflectance coefficient for time instant t1 (satellite image of earlier date ) and for time instant (satellite image of later date ), i, j are the row and column numbers of pixels in a given SAR image, and is the relative soil moisture content reported for the corresponding period between two images of one polarization. This mathematical approach was used between four images, showing promising results in identifying areas of moderate and high change in vegetation, wet snow, ice, and water 24,25,26 . The values above 2 register serious changes in the reflectance of a given object in selected areas, and low values below 1.0 indicate little or no change in an object's reflectance.…”

Section: Data Processingmentioning

confidence: 99%

Polar digital space in Antarctica

Spasova

2023

Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2023

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Through the creation of a polar digital space and the data architecture in it, an attempt will be made to get as close as possible to the real possibilities of building a Digital Twin in the Antarctic or the polar region, and also to propose the European data policy in the Antarctic and the Arctic. The polar digital space www.destination-earth-antarctica.eu even local to Livingston Island will help to tackle complex environmental challenges by observe and simulate the development of the earth system (land, sea, atmosphere, biosphere) and human intervention; forecasting of environmental and extreme disasters and resulting crises, enable the development and testing of scenarios for increasingly sustainable development. These are great initiatives, but they need to accumulate data. Livingstone Island during the Antarctic summer has an extreme increase in human presence, but this is not necessarily a negative impact. Rather, it is necessary to track exchange and summarize data on any type of event in a timely manner. A differentiated monitoring approach has been used and hybrid monitoring models have already been created1. The data sources and instruments at many of the Antarctic bases are not interoperable, and this creates a major problem for comparison and simulation modeling even on a single island, let alone a larger area or the Antarctic mainland. In most of the polar summer, the optical data is not of good quality due to the presence of frequent cloud cover. This necessitates the mandatory use of in situ data in order to verify the others. The purpose of this type of research is to enforce certain standards for data dissemination such as Open Data, Open Science, and also to show the dynamics of certain territories on Livingstone Island based on research from the summer of 2022-2023 through various methods, indеxes Modified Soil-Adjusted Vegetation Index (MSAVI2), Normalized Differential Glacier Index (NDGI), Normalized Difference Water Index (NDWI), NDSI (Normalized Difference Snow Index), NDSII (Normalized Difference Snow and Ice Index, Moisture Stress Index (MSI). and SAR indexes. The data used are from a drone, in situ data from a SEKONIC spectrometer, data from a ground local weather station, GPS coordinates and satellite data A ground weather station AWG, powered by an environmentally friendly magnesium-air battery, was developed especially for a project of the Bulgarian Antarctic Base. The data and models will serve the Bulgarian initiative for the construction of the Digital Twins in Antarctica and Arctica or Digital polar space, which is being pilot developed in the department of Aerospace Information, Space Research and Technology Institute – Bulgarian Academy of Sciences.

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“…The availability of ground-based data in addition allows effective and cost-effective monitoring of climate change in remote areas using SAR data. The SAR C-band enables the effective study of various objects [5][6][7][8][9][10][11][12][13][14][15] and especially wet snow and ice 3,4,[16][17][18][19] . Using SAR data, we studied the type of changes in the digital value of the reflected signal (Q) from various objects, including water in different phase states.…”

Section: Introductionmentioning

confidence: 99%

“…Using SAR data, we studied the type of changes in the digital value of the reflected signal (Q) from various objects, including water in different phase states. For the study of vegetation [20][21][22][23][24]26,27 (herbaceous sp., lichens, and mosses), water 16,25 (in all aggregate states), and soils 26,27 , numerous optical indices have been used to demonstrate the changes occurring in them. Most of the indices are developed to monitor vegetation but they could also be informative for detecting changes in other types of objects, especially in their transition stages.…”

Section: Introductionmentioning

confidence: 99%

A synchronized remote sensing monitoring approach in the Livingstone island region of Antarctica

Spasova,

Avetisyan

2023

Ninth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2023)

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Data-driven innovations bring significant benefits to societies directly affected by global warming, as they underpin Global and European climate change policy. The application of a synchronous approach and interoperability of data from different sources for environmental monitoring in one of the most vulnerable to climate change regions in the World is the aim of this research. The research was conducted at Hannah Point peninsula, near the Bulgarian Antarctic base "St. Kliment Ohridski" on Livingstone Island, South Shetland Islands, Antarctica. The study area has high ecological importance for tracking the dynamics of processes not only on a local but also on a global scale. Various research sites with different groups of objects serving as environmental benchmarks were selected to be studied. The study objects include snow cover, wet snow, water, ice (including sea ice), herbaceous vegetation, lichens, mosses, soils, and sand. For each of the objects, ground GPS points were defined and in situ spectrometric measurements were performed. Data from an innovative automatic recording weather station (AWG), as well as various indicators and indices based on the spectral reflectance characteristics of the investigated objects in the optical and microwave range, were used. For their generation were used satellite images from Sentinel-1 and Sentinel-2 sensors of European Space Agency. Multiple optical indices were used to demonstrate the changes in the state of the objects for the summer season of 2022-2023. The data obtained and models used will serve the Bulgarian initiative for the construction of the Digital Twins, which is being on pilot developed in the Department of Aerospace Information (SRTI-BAS) and could be used by a wide range of scientists in the field of polar research as well as for climate change education. Open Data were used in this study, to promote the Open science policy and FAIR principles as much as possible.

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Monitoring of Short-Lived Snow Coverage by Radar and Optical Data From Sentinel-1 and Sentinel-2 Satellites

Cited by 4 publications

References 0 publications

Monitoring of renewable energy sources with remote sensing, open data, and field data in Bulgaria

Monitoring of renewable energy sources with remote sensing, open data, and field data in Bulgaria

Polar digital space in Antarctica

A synchronized remote sensing monitoring approach in the Livingstone island region of Antarctica

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