JOURNAL ARTICLE

An Integrated Comparative Approach to Estimating Forest Aboveground Carbon Stock Using Advanced Remote Sensing Technologies

Abstract

Greenhouse gases in the atmosphere play a very important role in maintaining the temperature of the earth. Plants absorb carbon in the atmosphere in the form of CO 2 which is beneficial for photosynthesis which will produce O 2 into the atmosphere. By utilizing remote sensing technology and field data integration, this research aims to estimating aboveground carbon reserves in the research area. The results of this research indicate that the above ground carbon stock resulting from estimation calculations using remote sensing data and field calculations using brown allometric are 103,397 TonC / Ha with an error rate of 1,8354. This error level indicates the size of the error in the estimated value of each pixel.

Keywords:
Remote sensing Carbon stock Atmosphere (unit) Greenhouse gas Environmental science Photosynthesis Carbon fibers Pixel Computer science Climate change Meteorology Algorithm Ecology Physics Botany Biology Geography

Metrics

8
Cited By
0.66
FWCI (Field Weighted Citation Impact)
15
Refs
0.69
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Remote Sensing and LiDAR Applications
Physical Sciences →  Environmental Science →  Environmental Engineering
Remote Sensing in Agriculture
Physical Sciences →  Environmental Science →  Ecology
Forest Ecology and Conservation
Life Sciences →  Agricultural and Biological Sciences →  Forestry
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