Inversion of chlorophyll contents by use of hyperspectral CHRIS data based on radiative transfer model

35th International Symposium on Remote Sensing of Environment

地球科学;生态环境科学

Wang, M.C.^1 ; Niu, X.F.^1 ; Chen, S.B.^1 ; Guo, P.J.^1 ; Yang, Q.^1 ; Wang, Z.J.^2

College of Geoexploration Science and Technology, Jilin University, Changchun 130026, China^1

Shanghai Institute of Satellite Engineering, Shanghai, 200240, China^2

关键词: Chlorophyll contents;    CHRIS;    Hyperspectral remote sensing;    Inversion;    Radiative transfer model;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/17/1/012073/pdf
DOI  :  10.1088/1755-1315/17/1/012073

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Chlorophyll content, the most important pigment related to photosynthesis, is the key parameter for vegetation growth. The continuous spectrum characteristics of ground objects can be captured through hyperspectral remotely sensed data. In this study, based on the coniferous forest radiative transfer model, chlorophyll contents were inverted by use of hyperspectral CHRIS data in the coniferous forest coverage of Changbai Mountain Area. In addition, the sensitivity of LIBERTY model was analyzed. The experimental results validated that the reflectance simulation of different chlorophyll contents was coincided with that of the field measurement, and hyperspectral vegetation indices applied to the quantitative inversion of chlorophyll contents was feasible and accurate. This study presents a reasonable method of chlorophyll inversion for the coniferous forest, promotes the inversion precision, is of significance in coniferous forest monitoring.