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Use of Remote Sensing to Detect and Monitor Landscape Vulnerability to Wind Erosion and Dust Emission With Potential Connection to Climate Pat Chavez Adjunct.

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Presentation on theme: "Use of Remote Sensing to Detect and Monitor Landscape Vulnerability to Wind Erosion and Dust Emission With Potential Connection to Climate Pat Chavez Adjunct."— Presentation transcript:

1 Use of Remote Sensing to Detect and Monitor Landscape Vulnerability to Wind Erosion and Dust Emission With Potential Connection to Climate Pat Chavez Adjunct Research Professor Northern Arizona University (Retired USGS) March 2015 Pat.Chavez@nau.edu

2 This presentation covered Use of satellite and airborne imaging to detect and monitor temporal and spatial dynamics of vegetation which is critical to wind erosion vulnerability Monitoring dust storms using satellite imaging, field based cameras, wind meters, and sensit Potential relationships between climate, dust, and landscape vulnerability to wind erosion

3 In many landscapes the potential vulnerability to wind and water erosion is a critical issue with vegetation sheltering and dynamics being important components that influence the level of vulnerability. Therefore, methods to detect, map, and monitor the temporal and spatial dynamics of vegetation are critical to help map and monitor the degree of vulnerability to wind and water erosion at any given time.

4 Temporal Dynamics Detecting and mapping vegetation dynamics though time using 30m resolution Landsat TM satellite images. In arid regions most of the short-term (months to a few years) dynamics are related mostly to annuals and grasses --- fine fuels.

5 Las Vegas Death Valley Soda Lake Barstow Sept 2004 Note: CIR shows green veg in shades of pinks and reds

6 Feb 2005 Note: CIR shows green veg in shades of pinks and reds

7 Veg Cover Annuals and Grass (Fine Fuels)

8 Sept 2004 Feb 2005 Sheltering Bottom Images --- Amount of Sheltering with Grey/Blue High and Red/Yellow Low

9 Spatial Dynamics Detecting and mapping spatial dynamics in arid lands is typically related to percent woody vegetation cover and very-high resolution airborne or satellite images are needed (in arid lands these vegetation types are mostly bushes, srubs, and small trees -- - coarse fuels)

10 An airborne digital imaging system was used to collect images with 2 to 4 inch resolution south of Boulder, NV

11 Digital mosaic of CIR images with woody vegetation shown in shades of pinks and reds

12 Vegetated Pixels --- White Not Vegetated --- Black

13 Percent Veg Cover 10 by 10 meter foot print

14 Percent Veg Cover 20 by 20 meter foot print

15 Table Top Region--- Woody Veg Test Area Oct 2012 Satellite Image Current project with the BLM to investigate the use of remote sensing to monitor the National Monuments (SDNM and IFNM) in Southern Arizona * Travel Network --- roads and trails (using 0.5m satellite and 0.1m aerial) * Vegetation Dynamics (using 30m and 2m/0.5m satellite)

16 CIR with woody vegetation seen in shades of pinks and reds Note that due to the low sun angle in this October image the shadows of the Saguaro Cacti can be seen which is not the case in an image collected in June

17 Vegetated Pixels --- White Not Vegetated --- Black

18 Detecting and Monitoring Dust Storms An important objective in a previous project was to detect and monitor active dust storms in the southwestern United States. Besides satellite and airborne imaging, field based instruments were used at several locations to do high temporal monitoring of the surface during high wind events (photos every 15 mins). Movies were generated using both GOES satellite and ground-based images of dust storms.

19 Examples of Satellite Imaging of Dust Storms Keep in mind 1. The temporal resolution --- fly over frequency of most satellite imaging systems is not sufficient to monitor relatively short lived events --- the only exception is the GOES weather satellite. 2. Only large and high concentration dust storms can usually be detected using either the GOES or MODIS satellites. 3. Can not see thru clouds so problems seeing dust storms related to monsoon weather patterns. 4. Over time enough large dust storms can be detected to help identify some of the major dust sources in a given region.

20 Southwest United States Southwestern United States --- LARGE IS RELATIVE MODIS Images Phx Vegas San Francisco

21 13March06 Dust Storm Western China Approximate Same Size Area as SW US Image Tarim Basin approximately three times the size of Arizona

22 Southern Nevada --- April 2004

23 Northern Texas --- January 2006

24 Influence of Climate on Landscape Vulnerability to Wind Erosion and Dust Emission Droughts in the Southwest

25 Severe -3.0 to -3.9 Extreme -4.0 to 4.9 Exceptional -5.0 to less PDSI = -4

26 White Sands Northern Texas El Paso December 15, 2003

27 THANK YOU FOR YOUR TIME AND THE OPPORTUNITY TO PRESENT AT THIS IMPORTANT WORKSHOP Pat.Chavez@nau.edu


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