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Remote Acquisition of High Quality Topography (LIDAR) and Multispectral Imagery Data for the Rio Grande through the Big Bend National Park: A Critical Need for Climate Change Mitigation Planning

Dates

Creation
2017-09-06 20:40:56
Last Update
2017-09-06 20:56:08
Start Date
2011-10-01
End Date
2013-04-30
Start Date
2011-10-01 05:00:00
End Date
2013-04-30 05:00:00

Citation

LCC Network Data Steward(Point of Contact), Desert Landscape Conservation Cooperative(administrator), Mark K. Briggs(Principal Investigator), Big Bend National Park(Cooperator/Partner), U.S. Fish and Wildlife Service(Cooperator/Partner), U.S. Geological Survey(Cooperator/Partner), Basin and Bay Expert Science Team (BBEST)(Cooperator/Partner), Rio Grande Joint Venture(Cooperator/Partner), Texas Parks and Wildlife Department(Cooperator/Partner), U.S. National Park Service(Cooperator/Partner), Utah State University(Cooperator/Partner), Texas State Climatologist(Cooperator/Partner), International Boundary and Water Commission(Cooperator/Partner), Environmental Defense Fund(Cooperator/Partner), Sul Ross State University(Cooperator/Partner), Jeffery Bennett(Co-Investigator), David Dean(Co-Investigator), Aimee M Roberson(Co-Investigator), Dr. Jack Schmidt(Co-Investigator), Joe Sirotnak(Co-Investigator), Kevin Urbanczyk(Co-Investigator), 2017-09-06(creation), 2017-09-06(lastUpdate), 2011-10-01(Start), 2013-04-30(End), Remote Acquisition of High Quality Topography (LIDAR) and Multispectral Imagery Data for the Rio Grande through the Big Bend National Park: A Critical Need for Climate Change Mitigation Planning, https://www.sciencebase.gov/catalog/item/59b05d58e4b020cdf7d6e388

Summary

In response to the rapid and dramatic hydroecological deterioration of the Rio Grande through Big Bend, the Big Bend Conservation Cooperative (BBCC), a multi-disciplinary group of natural resource agencies, research institutions, and conservation organizations have been organizing and implementing a wide range of river rehabilitation, scientific research activities and climate change initiatives. More recently, the Basin and Bay Expert Science Team, part of an environmental flows initiative by the state of Texas, is using best available science to recommend environmental flow regimes for the major rivers of Texas. Limited understating of the sediment dynamics of the Rio Grande and riparian vegetation change hinders river management [...]

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Attached Files

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md_metadata.json 160.38 KB application/json
Proposal_BOR_R11APS1526_FY11.pdf 5.23 MB application/pdf
Support_BOR_R11APS1526_FY11.pdf 82.13 KB application/pdf
Summary_BOR_R11APS1526_FY11.pdf 71.78 KB application/pdf

Purpose

Use LiDaR imagery to generate vegetation maps and terrain models for the 100-mile reach of the Rio Grande through Big Bend National Park and combine information with one-dimensional flow routing model and monitoring of tributary sediment to enhance ability to quantify future geomorphic and riparian vegetation changes, assess flood risk, evaluate habitat for key species, formulate climate-adapted responses and evaluate exotic plan eradication efforts.

Project Extension

parts
typeTarget Audience or End Users
valueNatural resources managers
projectProducts
productDescriptionLiDAR point cloud data that is classified and colorized with rgb values, including classification for bare earth, low vegetation, high vegetation and structures (if any)
statusDelivered
productDescriptionColor ortho image mosaic at 0.25 meter resolution
statusDelivered
projectStatusCompleted

Budget Extension

annualBudgets
year2011
fundingSources
amount161285.0
recipientWorld Wildlife Fund
sourceU.S. Bureau of Reclamation
totalFunds161285.0
year2011
fundingSources
amount150000.0
recipientWorld Wildlife Fund
sourceBasin and Bay Expert Science Team (BBEST)
matchingtrue
totalFunds150000.0
year2011
fundingSources
amount20083.0
recipientWorld Wildlife Fund
sourceThe Coca Cola Corporation
matchingtrue
totalFunds20083.0
totalFunds331368.0

Additional Information

Identifiers

Type Scheme Key
projectId USBR R11APS1526

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