Space Models of Oak Vegetation Dynamics in Protected Zone, Bulgaria

Lyubenova, Mariyana; Nedkov, Roumen; Georgieva, Nadejda; Dineva, Snezhana

doi:10.15373/2249555x/july2014/7

Cited by 2 publications

(1 citation statement)

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“…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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