基于CBERS数据的亚热带森林地上碳储量估算

doi:10.11707/j.1001-7488.20140114

Abstract

Abstract:

Many remote sensing data have been applied to estimate forest above ground carbon storage(AGCS), but the estimation accuracy is varying. The capability of remotely sensed CBERS-02B CCD data for tropical and subtropical AGCS estimation is unknown. In this paper, with Dongguan forest region as a case study area, the CBERS-02B CCD data, along with the field survey data, were used to examine the relationship between forest biomass and band reflectance, vegetation indices, and image texture. It was found image texture performed the best in biomass estimation. When the band reflectance, vegetation indices, and image texture were combined in stepwise multiple regressions for biomass estimation, the adjustment coefficient R² was 0.53, root mean square error was 15.66, and P-level was less than 0.05, indicating the significance of the model. The results also showed that the shift of near-infrared band of the CBERS-02B CCD had negative effect on biomass estimation, but the integration of band reflectance, vegetation indices, and image texture can improve the capability of CBERS-02B CCD data for AGCS estimation, because the integration can reduce limitation and improve the complementarity. Moreover, the spatial distribution of AGCS mapping by CBERS-02B CCD data is similar with the actual distribution. We concluded that CBERS data are promising for estimating subtropical forest biomass.

Key words: CBERS, above ground carbon storage (AGCS), subtropical forest, estimation

CLC Number:

S771.8

Wang Changwei, Hu Yueming, Shen Decai, Huang Shengli, Zhu Jianyun, Wang Lu. Assessing the Capability of CBERS-02 B CCD for Estimating Subtropical Forest above Ground Carbon Storage[J]. Scientia Silvae Sinicae, 2014, 50(1): 88-96.

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Assessing the Capability of CBERS-02 B CCD for Estimating Subtropical Forest above Ground Carbon Storage

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