A Concept for Uncertainty-Aware Analysis of Land Cover Change Using Geovisual Analytics
Abstract
:1. Introduction
2. Concept
2.1. Geovisual Analytics
- Data: The data used during analysis (e.g., RS imagery, GIS layers, etc.)
- User: User interaction (e.g., choosing a threshold)
- Hypothesis: A hypothesis about change (e.g., “this area was falsely detected as change”)
- Computation: Computational steps in the workflow (e.g., classification of RS data)
- Visualization: Visual communication to the user (e.g., display of change uncertainty in a map)
- Result: The resulting change set
2.2. Change Uncertainty
3. Applications
3.1. Enable Better Informed Analysis
3.2. Optimize Change Detection Parameters
3.3. Reduce False-Positive Change
4. Case Study
4.1. Change Detection
4.2. Change Analysis
Change Type | Proportion of Overall Area | Number of Sample Points | CorrectChange | Erroneous Change |
---|---|---|---|---|
All | 100% | 323 | - | - |
No change | 77.7% | 251 | - | - |
Water to non-vegetated | 2.9% | 9 | 66.7% | 33.3% |
Vegetated to non-vegetated | 6.3% | 21 | 80.9% | 19.1% |
Non-vegetated to vegetated | 12.9% | 42 | 85.7% | 14.3% |
4.3. Reduce False-Positive Change
4.4. Discussion
5. Conclusions
Acknowledgments
Conflicts of Interest
References
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Kinkeldey, C. A Concept for Uncertainty-Aware Analysis of Land Cover Change Using Geovisual Analytics. ISPRS Int. J. Geo-Inf. 2014, 3, 1122-1138. https://doi.org/10.3390/ijgi3031122
Kinkeldey C. A Concept for Uncertainty-Aware Analysis of Land Cover Change Using Geovisual Analytics. ISPRS International Journal of Geo-Information. 2014; 3(3):1122-1138. https://doi.org/10.3390/ijgi3031122
Chicago/Turabian StyleKinkeldey, Christoph. 2014. "A Concept for Uncertainty-Aware Analysis of Land Cover Change Using Geovisual Analytics" ISPRS International Journal of Geo-Information 3, no. 3: 1122-1138. https://doi.org/10.3390/ijgi3031122