Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7496377 | Spatial Statistics | 2018 | 18 Pages |
Abstract
This paper provides an alternative approach to disaggregating agricultural data concerning land-use at the detailed pixel level. The proposed approach combines several techniques, such as Hj-Biplot, cluster analysis, dasymetric mapping and cross-entropy, and it is implemented in two steps. First, prior information is estimated based on the application of a HJ-Biplot and cluster analysis and using a dasymetric mapping methodology. Then, the estimated prior information is used in a cross-entropy model to disaggregate data at the pixel level in a context of incomplete information. This approach is applied to the Algarve region in southern Portugal. The results show a significant correlation between observed and estimated land-uses and are relevant in terms of information gains.
Related Topics
Physical Sciences and Engineering
Earth and Planetary Sciences
Earth and Planetary Sciences (General)
Authors
António Xavier, Maria de Belém Costa Freitas, Maria do Socorro Rosário, Rui Fragoso,