05/03/2025
# Vietnam actively developing its carbon market as part of its commitment to achieving net-zero greenhouse gas (GHG) emissions by 2050. Remote sensing technology plays a pivotal role in supporting the carbon market by enabling robust monitoring, reporting, and verification (MRV) of carbon stocks and emissions, particularly in forestry, agriculture, and coastal ecosystems. This study explores the integration of multi-source satellite data, including SPOT 6, Pléiades-1A, Pléiades-1B, Landsat, Sentinel, and other Earth observation platforms, to enhance carbon accounting and management practices in Vietnam.
High-resolution imagery from SPOT 6, Pléiades-1A, and Pléiades-1B is utilized for detailed forest cover assessments, biomass estimation, and precise monitoring of land use changes, contributing significantly to the Reducing Emissions from Deforestation and Forest Degradation (REDD+) initiatives. Landsat data, with its extensive historical archive, supports long-term land use and land cover (LULC) mapping, enabling the detection of deforestation trends and the assessment of carbon fluxes over time. Meanwhile, Sentinel-1 and Sentinel-2 provide complementary radar and optical data for dynamic monitoring of agricultural emissions and coastal carbon stocks, particularly in mangrove forests and other blue carbon ecosystems. The integration of these datasets enhances the spatial and temporal accuracy of carbon stock assessments and helps establish transparent MRV systems that align with international standards.
The study also highlights challenges such as data accessibility, technical capacity, and the need for standardized verification methodologies. Additionally, opportunities to apply advanced technologies, including digital twins, artificial intelligence (AI), and machine learning (ML), in remote sensing are discussed. These technologies can optimize carbon accounting, support Vietnam’s engageme
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