Paper
21 September 2023 Application of remote sensing to provide support for GHG emissions and removals inventory from LULUCF: a case study in Bulgaria
Author Affiliations +
Proceedings Volume 12786, Ninth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2023); 127861H (2023) https://doi.org/10.1117/12.2681265
Event: Ninth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2023), 2023, Ayia Napa, Cyprus
Abstract
As a party to the United Nations Framework Convention on Climate Change (UNFCCC) and signatory of UN Paris Agreement Bulgaria has the obligation to submit annual Greenhouse Gas (GHG) inventory covering emissions and removals of GHGs from Land Use, Land-Use Change and Forestry (LULUCF). In particular, for calculation of GHG emissions and removals from LULUCF information about land area is needed for different land uses at yearly basis and at national level. This research focuses on tracking the changes in land cover and land use (Forest land, Cropland, Grassland, Wetlands, Settlements, Other land) for 2012-2021 period based on developed satellite database for the territory of selected test area - South-Eastern (Yugoiztochen) region for the needs of GHG reporting in Bulgaria. The main purpose of the study is to investigate how the application of remote sensing tools can contribute for the country to switch to a higher Tier and Approach 3: spatially explicit land-use and land use change data. The results can be considered by the decision- makers to overcome the challenges they face in improving Transparency, accuracy, consistency, comparability and completeness of GHG emission estimates.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kameliya Radeva, Lachezar Filchev, Peter Dimitrov, and Silvia Kirilova "Application of remote sensing to provide support for GHG emissions and removals inventory from LULUCF: a case study in Bulgaria", Proc. SPIE 12786, Ninth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2023), 127861H (21 September 2023); https://doi.org/10.1117/12.2681265
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KEYWORDS
Land cover

Remote sensing

Landsat

Satellites

Agriculture

Near infrared

Climate change

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