Journal
INTERNATIONAL JOURNAL OF REMOTE SENSING
Volume 22, Issue 17, Pages 3597-3610Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/01431160010006458
Keywords
-
Ask authors/readers for more resources
Recent studies have shown that useful information can be derived from remotely sensed data to extend local environmental measurements over the land surface, A flexible fuzzy classification approach, in particular, was demonstrated to be superior to conventional multivariate regression methods for this purpose. This new extension methodology is described and discussed in detail. Next, some modifications are proposed in order to improve the consideration or the spectral information and to produce per-pixel estimates of the error committed. The performances of the original and modified methodologies are then evaluated in two case studies representative of different parameters to extend and satellite data. The results show the efficiency of the new strategy and, in particular, some improvements obtained by the modified method which testify to the effectiveness of the modifications proposed.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available