Wetland Hydroperiod Analysis in Alberta Using InSAR Coherence Data
Abstract
:1. Introduction
- (1)
- Determine the optimum coherence threshold value for separating flooded and non-flooded vegetated Canadian wetlands;
- (2)
- Generate biweekly maps of flooded wetlands for the entire Alberta during the snow-free period from 2017 to 2020;
- (3)
- Produce inundation frequency maps for Alberta and determine the wetland hydroperiod for the entire study period and each individual year;
- (4)
- Examine hydroperiod trends across Alberta over four years.
2. Material and Method
2.1. Study Area
2.2. In Situ Data
2.3. Coherence Products
2.4. Alberta-Wide Wetland Map
2.5. Methodology
2.5.1. Masking Vegetated Wetlands and Open Water
2.5.2. Preparing Biweekly Coherence Mosaic Images
2.5.3. Selecting Coherence Threshold Value for Flooded Wetlands
2.5.4. Accuracy Assessment of Flooded Wetland Maps
2.5.5. Wetland Hydroperiod Analysis
- (1)
- Percentage hydroperiod map for the entire four years: the percent frequency of inundation was calculated for wetland areas based on the number of times an area was identified and mapped as flooded (i.e., coherence was more than the selected threshold value in each of the 48 maps), where 100% and 0%, respectively, represent permanently flooded areas and areas that were never flooded (i.e., coherence was always less than the selected threshold value) from 2017 to 2020.
- (2)
- Annual hydroperiod classification: For each year (12 maps), the hydroperiod classification was produced based on the number of flooded times, where 0, 1–2, 3–7, 8–10, and 11–12 instances represent the never flooded, temporary, seasonal, semi-permanent, and permanent classes, respectively. These classes were initially defined in Ref. [38] and were later used in several studies related to wetland hydroperiod analysis [12,17,19,24].
3. Results
4. Discussion
4.1. Findings
4.2. Limitations and Suggestions
5. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
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In-Situ Samples | |||||
---|---|---|---|---|---|
Flooded | Non-Flooded | User Accuracy (%) | Commission Error (%) | ||
Mapped | Flooded | 8 | 1 | 89 | 11 |
Non-Flooded | 2 | 8 | 80 | 20 | |
Producer Accuracy (%) | 80 | 89 | Overall Accuracy = 84% | ||
Omission Error (%) | 20 | 11 |
Flooded Percentage Category (%) | Area (Km2) | Percentage Cover (%) |
---|---|---|
0–10 | 16,694 | 8.84 |
10–20 | 28,773 | 15.24 |
20–30 | 28,315 | 15.00 |
30–40 | 25,793 | 13.67 |
40–50 | 20,854 | 11.05 |
50–60 | 13,224 | 7.01 |
60–70 | 13,284 | 7.04 |
70–80 | 10,090 | 5.35 |
80–90 | 6360 | 3.37 |
90–100 | 25,368 | 13.44 |
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Amani, M.; Brisco, B.; Warren, R.; DeLancey, E.R.; Seydi, S.T.; Poncos, V. Wetland Hydroperiod Analysis in Alberta Using InSAR Coherence Data. Remote Sens. 2022, 14, 3469. https://doi.org/10.3390/rs14143469
Amani M, Brisco B, Warren R, DeLancey ER, Seydi ST, Poncos V. Wetland Hydroperiod Analysis in Alberta Using InSAR Coherence Data. Remote Sensing. 2022; 14(14):3469. https://doi.org/10.3390/rs14143469
Chicago/Turabian StyleAmani, Meisam, Brian Brisco, Rebecca Warren, Evan R. DeLancey, Seyd Teymoor Seydi, and Valentin Poncos. 2022. "Wetland Hydroperiod Analysis in Alberta Using InSAR Coherence Data" Remote Sensing 14, no. 14: 3469. https://doi.org/10.3390/rs14143469