Using Sentinel 2A and Landsat 8 imagery to assess changes in forest carbon storage.

ABSTRACT: Estimating carbon storage using high-resolution imagery of dominant species and types is often constrained by the availability of data. Herein, we developed a carbon storage estimation model for dominant species and types using high-resolution Sentinel 2A imagery and compared the two approaches using lower-resolution Landsat 8 imagery for whole-forest estimation. Approach 1 employs a traditional method using in-situ carbon storage measurements with Landsat 8 vegetation indices, whereas Approach 2 uses Sentinel 2A carbon storage estimates as a reference. Using Random Forest, Decision Tree, and Multiple Linear Regression models, we compared both approaches and found that Approach 2 estimates matched the Sentinel 2A results for different species and types more accurately, including Populus, S

SUBMITTER: Li B 

PROVIDER: S-EPMC12559292 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature