Ninth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2023) 2023
DOI: 10.1117/12.2682162
|View full text |Cite
|
Sign up to set email alerts
|

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

Temenuzhka Spasova,
Daniela Avetisyan

Abstract: 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,… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
2
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(2 citation statements)
references
References 35 publications
0
2
0
Order By: Relevance
“…Since each of the object groups has different research approaches and methods, and these have already been described in a previous study 1,5 , the author will focus on several use cases for the individual objects of interest.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Since each of the object groups has different research approaches and methods, and these have already been described in a previous study 1,5 , the author will focus on several use cases for the individual objects of interest.…”
Section: Introductionmentioning
confidence: 99%
“…However, right in the middle of the island and around the BAB for 2022, the highest temperatures are observed and one can speak of local heat island, which definitely favors the presence of new vegetation precisely in these areas if compared with the spectral indices NDWI, MSI and MSAVI2 (fig. 21), with which vegetation has already been studied 1,5,39 .…”
mentioning
confidence: 99%