2.3 Estimation of Forest Carbon Stocks
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چکیده
منابع مشابه
Potential of Landsat-8 spectral indices to estimate forest biomass
Forest ecosystems are among the largest terrestrial carbon reservoirs on our planet earth thus playing a vital role in global carbon cycle. Presently, remote sensing techniques provide proper estimates of forest biomass and quantify carbon stocks. The present study has explored Landsat-8 sensor product and evaluated its application in biomass mapping and estimation. The specific objectives were...
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The mangrove forest ecosystem is known to possess a variety of ecosystem services, including high rates of carbon sequestration, storage and mitigating climate change through reduced deforestation. This study was carried out in the mangrove forests of Gowatr Bay, Gulf of Oman during 2017-18 to quantify biomass and carbon stocks of all components of this forest, including live and dead trees, so...
متن کاملAccurate estimation of forest carbon stocks by 3-D remote sensing of individual trees.
Forests are one of the most important carbon sinks on Earth. However, owing to the complex structure, variable geography, and large area of forests, accurate estimation of forest carbon stocks is still a challenge for both site surveying and remote sensing. For these reasons, the Kyoto Protocol requires the establishment of methodologies for estimating the carbon stocks of forests (Kyoto Protoc...
متن کاملA Basin-Scale Estimation of Carbon Stocks of a Forest Ecosystem Characterized by Spatial Distribution and Contributive Features in the Liuxihe River Basin of Pearl River Delta
Forest ecosystems make a greater contribution to carbon (C) stocks than any other terrestrial ecosystem. To understand the role of regional forest ecosystems in global climate change and carbon exchange, forest C stocks and their spatial distribution within the small (2300 km2) Liuxihe River basin in China were analyzed to determine the different contributors to the C stocks. Forest C stocks we...
متن کاملSpatially-Explicit Testing of a General Aboveground Carbon Density Estimation Model in a Western Amazonian Forest Using Airborne LiDAR
Mapping aboveground carbon density in tropical forests can support CO2 emission monitoring and provide benefits for national resource management. Although LiDAR technology has been shown to be useful for assessing carbon density patterns, the accuracy and generality of calibrations of LiDAR-based aboveground carbon density (ACD) predictions with those obtained from field inventory techniques sh...
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