Seasonal assessment of the dynamics of sea ice based on aerospace data on Livingston Island, New Shetland Islands in Antarctica and Longyearbyen in the Arctic

Spasova, Temenuzhka; Nedkov, Roumen; Dancheva, Adlin; Stoyanov, Andrey; Ivanova, Iva; Georgiev, Nikolay

doi:10.1117/12.2570829

Cited by 6 publications

(5 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In practice the NDSI values for areas covered by snow range from 0.0 to 1.0 when snow is present and registered by the sensor the NDSI will be > 0 3 . Generally accepted NDSI threshold value used to determine snow cover is 0.4, although many researchers suggest the NDSI can be set for particular situation with methods of threshold selection based on visual inspection/interpretation, empirical relationship or automated selection 4,5 .…”

Section: Normalized Difference Snow Index (Ndsi)mentioning

confidence: 99%

Application of Sentinel-2 MSI optical data for snow cover monitoring in the Vitosha mountain region of Bulgaria

Stoyanov,

Spasova

2024

SPIE Future Sensing Technologies 2024

View full text Add to dashboard Cite

The following study presents results derived by the ongoing research project "Monitoring of the seasonal dynamics and stability of the snow cover in the mountain range of the Republic of Bulgaria for a period of 10 years (2014-2024) based on Remote Sensing". The Vitosha mountain region situated in Bulgaria (278 km 2 ) was used as a test area for monitoring Snow Cover Extent (SCE) for an eight-year period (2016)(2017)(2018)(2019)(2020)(2021)(2022)(2023). The results derived by the conducted study consist of SCE information which is crucial part of the calculation of Snow Water Equivalent (SWE), hydrological runoff modeling and flood forecasting and monitoring. In the present research the available cloudless optical data of Sentinel-2 MSI, generated and exported from Google Earth Engine (GEE), from October to May, for the period between 2016 and 2023 were used for snow cover monitoring purposes. Normalized Differential Snow Index (NDSI) and Snow Water Index (SWI) were calculated, and the resulting output raster datasets were post-processed and inspected additionally to obtain threshold classifications used for calculation of snow cover area distribution. Global Warming and Climate Change with its negative effects, such as frequent droughts, water scarcity in the summers, and less-snow winters, have a significant impact on agriculture, hydrology, forests, and ecology in Bulgaria. The results obtained in the study can be used and integrated for observations and studies of climate change at the local and regional level.

show abstract

Section: Normalized Difference Snow Index (Ndsi)mentioning

confidence: 99%

Application of Sentinel-2 MSI optical data for snow cover monitoring in the Vitosha mountain region of Bulgaria

Stoyanov,

Spasova

2024

SPIE Future Sensing Technologies 2024

View full text Add to dashboard Cite

show abstract

“…Using the above-mentioned data (Table 1 and Figure 3) and mathematical expressions, a study was conducted to assess the adequacy of the selected PBCD techniques for urban area disaster consequences assessment. The study was executed using MATLAB by developing the GUI, algorithms and corresponding source code for reading, image processing and mixing the satellite image (as a background) and the PBCD index mask showing the locations and areas with changes detected [6,8,10,12,14,16,18]. Table 3 shows the summary of the survey final results expressed in square kilometers and ratio to gain a more realistic assessment of the performance of the tested techniques.…”

Section: Change Detection Techniquesmentioning

confidence: 99%

Change detection techniques for urban area disaster assessment using high resolution satellite data

Tsvetkov

2023

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

View full text Add to dashboard Cite

Unfortunately, the year 2023 began with a devastating earthquakes unprecedented in recent years, spreading over the territories of two neighboring countries (Turkey and Syria) located on the same tectonic plate. On the night of February 6, 2023, Turkey and Syria were hit by a powerful 7.8 magnitude earthquake. The earthquake was one of the strongest in the region in more than a century. Even more devastation was caused by aftershocks that hit both countries hours later. A few days later, weaker earthquakes were reported in two other countries (Romania and Croatia) located on different with respect to first one, but neighboring, tectonic plate. This paper represents an approach for using change detection techniques based on free access high resolution Earth observation satellite data (Sentinel, Landsat) for assessment of the consequences caused by earthquakes in an urban area. Known change detection techniques have been investigated such as: image differencing, image rationing, change detection based on indexes calculation and comparison, etc.As a result, a comparative analysis of the investigated change detection techniques with respect to an urban area adequacy is presented.

show abstract

“…The area was selected due to available field research in the southern parts of Livingstone Island from 2022. The author has already done remote sensing in the northern part of the island in the period 2016-2018 8,9 .…”

Section: Region Of Interestmentioning

confidence: 99%

Creating a digital twin and polar digital space in Antarctica

Spasova

2023

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

View full text Add to dashboard Cite

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 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, indices and applications, published on the project page 1 . The complex approach used in the research provides reliable, up-to-date and interoperable information, regardless of the geographical location of the objects and is devoid of subjective interference.The use of data from a drone, ground data from SEKONIC spectrometer, data from NAVAL RSV 421ship 2 , satellites isn't a new method, but a complex. Using the maximum number of applications and also creating an innovative weather station certainly brings even greater added value to society and science, which seriously investigates climate change in polar latitudes.A ground weather station AWG, powered by an environmentally friendly magnesium-air battery, was developed especially for a project of the Bulgarian Antarctic Base 3 .The data and models will serve the Bulgarian initiative for the construction of the Digital Twins in Antarctica and Arctica or Digital polar space, initiatives such as Oceans and Seas, which is being pilot developed in the

show abstract

Seasonal assessment of the dynamics of sea ice based on aerospace data on Livingston Island, New Shetland Islands in Antarctica and Longyearbyen in the Arctic

Cited by 6 publications

References 0 publications

Application of Sentinel-2 MSI optical data for snow cover monitoring in the Vitosha mountain region of Bulgaria

Application of Sentinel-2 MSI optical data for snow cover monitoring in the Vitosha mountain region of Bulgaria

Change detection techniques for urban area disaster assessment using high resolution satellite data

Creating a digital twin and polar digital space in Antarctica

Contact Info

Product

Resources

About