Uncertainty visualization of remote sensing crop maps enriched at parcel scale: a contribution for a more conscious GIS dataset usage
Author:
Affiliation:
1. GRUMETS Research Group, Department of Geography, Universitat Autònoma de Barcelona, Barcelona, Spain
Funder
European Community's Seventh Framework Program
Publisher
Informa UK Limited
Subject
Earth and Planetary Sciences (miscellaneous),Geography, Planning and Development
Link
https://www.tandfonline.com/doi/pdf/10.1080/17445647.2015.1113390
Reference30 articles.
1. Fine Spatial Resolution Simulated Satellite Sensor Imagery for Land Cover Mapping in the United Kingdom
2. Performance of several Landsat 5 Thematic Mapper (TM) image classification methods for crop extent estimates in an irrigation district
3. Synthesizing Old and New: Joining Existing Remote-Sensing and GIS Data to Assess Fire Issues in Sagebrush Steppe Ecosystems
4. A Review of Uncertainty in Data Visualization
5. An evaluation of per-parcel land cover mapping using maximum likelihood class probabilities
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1. A new approach to characterising and predicting crop rotations using national-scale annual crop maps;Science of The Total Environment;2023-02
2. A New Approach to Characterising and Predicting Crop Rotations Using National-Scale Annual Crop Maps;SSRN Electronic Journal;2022
3. Depiction of uncertainty in the visually interpreted land cover data;Ecological Informatics;2018-09
4. Addendum;Journal of Maps;2015-12-14
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