WORKING TOWARDS AN AUTOMATED WETLANDS … · working towards an automated wetlands mapping process:...
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WORKING TOWARDS AN AUTOMATED WETLANDS MAPPING PROCESS: SUCCESSES, FAILURES AND POTENTIAL FOR THE FUTURE
Transcript of WORKING TOWARDS AN AUTOMATED WETLANDS … · working towards an automated wetlands mapping process:...
WORKING TOWARDS AN AUTOMATED WETLANDS MAPPING PROCESS:
SUCCESSES, FAILURES AND POTENTIAL FOR THE FUTURE
ACKNOWLEDGEMENTS
Most of the work described in this presentation was funded by the MN Environmental and
Natural Resource Trust Fund and performed cooperatively with the MN DNR and U.S. FWS
WHY IS THIS IMPORTANT?
It took 35 years (1979 – 2014) and more than $220 million to complete the NWI
Tiner, R.W. (editor). 2009. Status Report for the National Wetlands Inventory Program: 2009. U.S. Fish and Wildlife Service, Division of Habitat and Resource Conservation, Branch of Resource and Mapping Support, Arlington, VA. 48 pp.
WHY IS THIS IMPORTANT?
Using current technology and today’s dollars, it would take approximately $260 Million to re-map the wetlands*
*Based on the MN NWI update numbers
WHY IS THIS IMPORTANT?
Resources managers want more information not less…habitat type, food resources, water quality, wetland changes, etc.
WHY IS THIS IMPORTANT?
Can we take advantage of the abundance of data and new technology to provide resource information to decision makers?
I believe the answer is YES. However, we might have to think differently about how we use and analyze the data.
SEMI-AUTOMATED WETLANDS MAPPING
GOAL: To reduce the amount of time the photo interpreters spend on delineating wetland
boundaries so they can focus their efforts on identifying the wetland class, water regime and
modifiers
Water
Forested Wetlands
All Other Wetlands
SEMI-AUTOMATED WETLANDS MAPPING
DEM Slope TPI CTI Height Intensity
SEMI-AUTOMATED WETLANDS MAPPING
General Process: Open Water
SEMI-AUTOMATED WETLANDS MAPPING
General Process: Upland/Wetland Boundary
SEMI-AUTOMATED WETLANDS MAPPING
General Process: Forested Wetlands
SEMI-AUTOMATED WETLANDS MAPPING
General Process: All Emergent Wetlands
SEMI-AUTOMATED WETLANDS MAPPING
Potential Future Process: Summer Imagery
SEMI-AUTOMATED WETLANDS MAPPING
-
TIM
E
+
- # Wetlands +
Segmentation Photo Interpretation
Water
Upland/Wetland
Wetland Class
SEMI-AUTOMATED WETLANDS MAPPING
Additional Advantages: Increased Accuracy? Spend more time focusing on:
- Wetland ID
- Classification types
WHAT IS WORKING WELL
The Process
WHAT IS WORKING WELL
Starting to produce better results in wetland class
WHAT DO WE NEED TO WORK ON
Minor Clean-up processes
WHAT DO WE NEED TO WORK ON
Data consistency issues – always going to be a problem but try to limit it as much as possible.
WHAT DO WE NEED TO WORK ON
How do you deal with these segmentation issues?
WHAT DO WE NEED TO WORK ON
Sometimes there is still too many segments
POTENTIAL FOR THE FUTURE
What if we had full Lidar coverage and unlimited imagery?
Could we develop a wetlands basin layer from the Lidar and a wetlands class, water regime and modifiers from the imagery – could we automatically track changes?
POTENTIAL FOR THE FUTURE
USGS 3D Elevation Program and NGA NextView Imagery
POTENTIAL FOR THE FUTURE
12/23/2013
4/30/2014 1/4/2015
3/13/2015 6/13/2015 10/30/2015
POTENTIAL FOR THE FUTURE
4/30/2014 3/13/2015 6/13/2015 10/30/2015
POTENTIAL FOR THE FUTURE
1985 1998 2005
Original NWI
POTENTIAL FOR THE FUTURE
Changes to Original
NWI Wetlands
POTENTIAL FOR THE FUTURE
The future potential of Radar for Wetlands…
From White, L., Brisco, B., Daboor, M., Schmitt, A., Pratt, A. and Huberty, B. 2014. Synthetic Aperture Radar Methodologies for Monitoring Wetlands.
POTENTIAL FOR THE FUTURE
From White, L., Brisco, B., Daboor, M., Schmitt, A., Pratt, A. and Huberty, B. 2014. Synthetic Aperture Radar Methodologies for Monitoring Wetlands.
Surface Water Maps derived from
RADARSAT -2 imagery
POTENTIAL FOR THE FUTURE
Great Lakes Coastal Wetlands Mapping With Landsat TM and PALSAR
Bourgeau-Chavez, L., Endres, S., Battaglia, M., Miller, M.E., Banda, E., Laubach, Z., Higman, P., Chow-Fraser, P., Marcaccio, J. Development of a Bi-National Great Lakes Coastal Wetland and Land Use Map Using Three-Season PALSAR and Landsat Imagery. Remote Sens. 2015, 7, 8655-8682.
CONCLUSIONS
A more fully automated process for mapping wetlands is possible
An abundance of optical imagery is available to enhance the classification/update process
A lot of potential with Radar imagery in the future
FINAL THOUGHT
In this age of data abundance, can we create tools to efficiently transform the data into the information needed by our resource managers to protect and manage the places we love.
