Exploring TM image texture and its relationships with biomass estimation in Rondônia, Brazilian Amazon

Acta Amazonica

Dengsheng Lu²  Mateus Batistella¹ 

[1],Indiana University Center for the Study of Institutions, Population, and Environmental Change Bloomington,USA

关键词: texture;    aboveground biomass;    TM image;    correlation;    Amazon;    textura;    biomassa;    imagens TM;    correlação;    Amazônia;   

DOI  :  10.1590/S0044-59672005000200015

来源: SciELO

【 摘 要 】

Many texture measures have been developed and used for improving land-cover classification accuracy, but rarely has research examined the role of textures in improving the performance of aboveground biomass estimations. The relationship between texture and biomass is poorly understood. This paper used Landsat Thematic Mapper (TM) data to explore relationships between TM image textures and aboveground biomass in Rondônia, Brazilian Amazon. Eight grey level co-occurrence matrix (GLCM) based texture measures (i.e., mean, variance, homogeneity, contrast, dissimilarity, entropy, second moment, and correlation), associated with seven different window sizes (5x5, 7x7, 9x9, 11x11, 15x15, 19x19, and 25x25), and five TM bands (TM 2, 3, 4, 5, and 7) were analyzed. Pearson's correlation coefficient was used to analyze texture and biomass relationships. This research indicates that most textures are weakly correlated with successional vegetation biomass, but some textures are significantly correlated with mature forest biomass. In contrast, TM spectral signatures are significantly correlated with successional vegetation biomass, but weakly correlated with mature forest biomass. Our findings imply that textures may be critical in improving mature forest biomass estimation, but relatively less important for successional vegetation biomass estimation.

【 授权许可】

CC BY   
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