Journal article
Data-model fusion for improving LAI mapping: a case study over China's land mass
Abstract
A simple data-model fusion method is developed to improve leaf area index (LAI) mapping using satellite data. The objective is to overcome two issues with satellite-derived LAI maps: (1) optical remote sensing data are often seriously affected by the atmosphere due to clouds, and in some areas no reliable data are obtained in the whole growing season, and (2) seasonal variations in conifer LAI derived from satellite data are often distorted by …
Authors
Huang M; Chen JM; Deng F
Journal
International Journal of Remote Sensing, Vol. 32, No. 22, pp. 7279–7296
Publisher
Taylor & Francis
Publication Date
November 20, 2011
DOI
10.1080/01431161.2010.520347
ISSN
0143-1161