Table 1

From: Recent Arctic tundra fire initiates widespread thermokarst development

Terrain Units

Terrain Unit Area#

Detected subsidence derived from multitemporal airborne LiDAR data*

Change in Microtopography^

Burn Severityâ™®

Area

Volume

Max. Sub.

(km2)

(km2)

(% of terrain unit)

×10,000 (m3)

(% of total)

(m)

(%)

(dNBR)

Drained Lake Basin

 Inside Burn

98.2

22.88

23.29

644.6

19.34

3.9

81.3

590

 Outside Burn

2.4

0.03

1.35

0.9

0.03

3.3

−4.4

—

Yedoma Upland

 Inside Burn

98.6

48.61

49.31

1653.6

49.62

6.7

343.7

753

 Outside Burn

4.1

0.02

0.40

0.7

0.02

3.2

−5.8

—

Rocky Upland

 Inside Burn

34.5

15.40

44.63

468.7

14.07

3.3

211.0

782

 Outside Burn

—

—

—

—

—

—

—

—

Glaciated Upland

 Inside Burn

39.2

11.18

28.53

340.4

10.21

3.1

178.0

675

 Outside Burn

10.8

0.05

0.51

1.3

0.04

3.3

−0.9

—

River Floodplain

 Inside Burn

20.2

2.18

10.79

59.9

1.80

3.0

−82.1

609

 Outside Burn

16.5

1.60

9.70

71.8

2.16

4.1

7.4

—

Tundra Stream Gulch

 Inside Burn

10.0

2.39

23.96

71.0

2.13

5.7

30.1

634

 Outside Burn

1.0

0.04

3.55

1.0

0.03

1.9

8.6

—

Lakes

 Inside Burn

5.6

0.69

12.28

18.1

0.54

2.9

−49.6

—

 Outside Burn

0.4

0.02

4.68

0.5

0.02

1.0

−55.6

—

Totals

 Inside Burn

306.4

103.3

—

3256.3

—

6.7

101.8

—

 Outside Burn

35.2

1.8

—

76.2

—

4.1

−8.4

—

  1. Table 1. Detected subsidence in the multi-temporal airborne LiDAR datasets. Change between the 2009 and 2014 datasets determined using an FIS uncertainty analysis and the propagation of errors on a per pixel basis45,53. Subsidence is reported in terms of area affected and volumetric lowering by terrain unit and whether the area was inside or outside of the burn perimeter. Change in microtopography was determined using a rugosity metric56 and the Landsat-derived burn severity index is from Kolden and Rogan43.
  2. #Based on terrain unit classification developed for the study area (see methods section) and existing surficial geology maps44.
  3. *Detected changes in the dDTM based on the FIS analysis and propagation of the elevation uncertainties in the dDTM calculation45,53 using the 2009 and 2014 airborne LiDAR datasets.
  4. ^Based on changes in rugosity between the 2009 and 2014 datasets (see methods section).
  5. â™®Mean differenced normalized burn ratio (dNBR) derived from pre- and post-fire Landsat image pairs43.