Gulf Coast Joint Venture GEOSPATIAL ACTIVITIES AND DATA NEEDS

Transcription

1 Gulf Coast Joint Venture GEOSPATIAL ACTIVITIES AND DATA NEEDS

2 GCJV Background Purpose: The Gulf Coast Joint Venture is the regionally based, biologically driven, landscape oriented volunteer partnership of private, state, and federal conservation organizations dedicated to delivery of habitat conservation important to priority bird species within the joint venture region.

3 GCJV Background Management Board State Agencies Texas Parks & Wildlife Department Louisiana Department of Wildlife & Fisheries Louisiana Department of Natural Resources Mississippi Department of Wildlife, Fisheries, & Parks Alabama Department of Conservation & Natural Resources Federal Agencies U.S. Fish & Wildlife Service (Regions 2 & 4) U.S.D.A. N.R.C.S. (liaison) U.S. Army Corps of Engineers U.S. Geological Survey NOAA-Fisheries Non-governmental The Nature Conservancy Ducks Unlimited, Inc. Gulf Coast Bird Observatory Private Landowner Representative Conoco Phillips Staff Coordinator Barry Wilson (FWS) GIS/Remote Sensing Analysts Mark Parr (FWS) Nicholas Enwright (USGS) Bird Conservation Specialist Bill Vermillion (FWS) Monitoring Coordinator Steve DeMaso (FWS) Biological Team Leader Michael Brasher (DU) Habitat Delivery Specialist Jon Hayes (TxPWD/ABC)

4 Large-Scale/Long Term Science Priorities Translate population objectives for priority birds to habitat objectives Estimate available habitat and variation over time Development of spatially-explicit decision support tools to aid partners in prioritizing habitat delivery Assessment of conservation estate

5 Seasonal Surface Water Habitat Assessment Initial Project Estimate acreage and variation of seasonally flooded agricultural land for waterfowl habitat for CHEN, TMC, and LAG Landsat TM and Water Mask Early (Aug 16 Oct 31), Middle (Nov 1 Jan 15), and Late (Jan 16 Mar 31) Focused on dry, average, and wet years Unsupervised classification of Landsat TM Current Project Expanded back to 1982 and going forward Threshold classifications using Normalized Difference Vegetation Index (NDVI), Modified Normalized Water Index (MNDWI), Normalized Difference Built-up Index (NDBI)

6 Fall Shorebird Habitat Assessment Initial Project Estimate acreage and variation of shallow water (<6 ), saturated soil, and flooded vegetation 1999, 2002, 2004 Landsat TM Combination of image segmentation, unsupervised classification of Landsat TM Current Project Early (July 15 Sep 9) and Late (Sep 10 Nov 5) Expanded back to 1982 and going forward Threshold classifications using Normalized Difference Vegetation Index (NDVI), Modified Normalized Water Index (MNDWI), Normalized Difference Built-up Index (NDBI)

7 Managed Lands Geodatabase Inventory of management objectives and capabilities, infrastructure, and bird habitat features Four feature classes: Managed Habitat Units Nesting Bird Colonies Water Control Structures Sanctuary 2 Phases Feature Delineation Data Entry

8 Data Distribution/Needs Data Distribution Directly and/or through bird working groups GCP CPA Data Needs Consistently updated landcover with high thematic resolution (marsh, open water, grassland types) for entire JV Updated NWI Accurate managed lands boundaries

9 Questions? Mark Parr Migratory Bird Joint Venture GIS Webinar Looking for presenters!

10 Central Hardwood Joint Venture GIS Products and Need Cara Joos, Todd Jones-Farrand, Larry Heggeman, and Jane Fitzgerald

11 Large-scale long-term science priorities Map habitat condition for target ecosystems for the entire CH BCR and Use these data with species ecology to estimate suitable habitat (HSI) Estimate population densities available habitat can support to calculate current population Identify focal/target areas where habitat management will be the most efficient and affective Estimate how implementation will influence bird populations through simulations management scenarios to identify most efficient actions Monitor population responses to implementation

12 Geospatial Projects Existing Ecological Potential Landcover mapping Habitat Suitability Models In Progress Grassland occupancy and abundance mapping

13 Ecological Potential Landcover

14

15

16 Habitat Suitability Models

17

18 Suitability index score Distance (m) to water

19 New Capabilities We can now: Characterize habitat suitability at the subsection scale for 40 priority bird species Identify key limiting factors at subsection scale for 40 species Estimate population sizes based on habitat quality and step up population objectives to subsection and BCR scales Monitor changes in habitat suitability and bird population size Predict effect of landscape change on habitat suitability

20 Mapping Grassland Occupancy and Abundance

21

22 Norther Bobwhite grassland habitat

23

24

25 Data distribution and potential for collaboration among partners to improve reach Current Through board members and technical committee presentations Upon request Population response simulations Tried workshops on how to do simulations Glade locations in GCPO LCC conservation planning atlas Opportunities to collaborate and improve reach Use LCC CPA instead of ing layers etc so they can see other available products Difficulties obtaining spatial data from partners about ongoing and complete restoration and management activities

26 Big geospatial data gaps we cannot address alone Full life cycle models How much wintering habitat is available to support breeding populations in our BCR? Adequate remote sensing imagery for grasslands and shrublands Spatial variation in demographics AKN data entry?

27 Opportunities to leverage partnerships to address overlapping geospatial data needs Do landscape variables in CH for quail apply to other BCRs? Ask partners to assess grassland throughout regions to improve grassland accuracy

28 Questions?

29 Ecological Potential Model

30 Geospatial Data for Bobwhite Conservation Derek Evans Data Analyst National Bobwhite Conservation Initiative

31 Who is? The National Bobwhite Conservation Initiative (NBCI) is the unified strategic effort of 25 state fish and wildlife agencies and various conservation organizations to restore wild populations of bobwhite quail in this country to levels comparable to NBCI States

32 NBCI 2.0 In 2011, NBCI published the NBCI 2.0. Biologist Ranking Index (BRI) geospatial layer Provide timely, on the ground knowledge of habitat that cannot be remotely sensed or modeled 23 workshops between State biologists spatially identified: Potential for bobwhite response to management Current/potential densities for habitat class Opportunities/obstacles to bobwhite management Spatial data layers incorporated for decision making: Transportation Conservation areas Urban areas Soils data Political Boundaries Land Cover Data Agricultural Census Data Conservation Reserve Program data Census Data

33 NBCI 2.0 Biologist Ranking Information Potential bobwhite response to management

34 NBCI Coordinated Implementation Program Provides the framework for large-scale habitat management programs for bobwhite using a tiered approach to landscape planning and action.

35 NBCI CIP Focal Tiers The BRI is used to guide selection of CIP Focal Tiers NBCI Focal Area A targeted area designed to increase the probability of achieving NBCI managed bobwhite densities through strategic habitat management efforts in the nearterm. NBCI Focal Landscape(s) A spatially defined landscape comprised predominantly of high priority ranking for bobwhite restoration. NBCI Focal Region(s) A spatially defined geographic region comprised predominantly of high and medium priority ranking.

36 Focal Area Monitoring Spring Breeding Bird Counts Fall Covey Counts Habitat

37 Infrastructure for NBCI Geospatial Data Web Server (IIS) SSL Encrypted communication between client and server ArcGIS web adaptor Forwards requests to GIS server Hosts web applications GIS Server (ArcGIS for Server) Hosts map and geoprocessing services Database Server (MS SQL Server) Data store for map services All servers are virtualized on a physical server at UT

38 Data Access Web Mapping Tool QuailCount.org Data exploration and visualization w/ help documentation Download data for: 25 states individual states counties polygon selection KML Service Integration with Google Maps ArcGIS Server Mapping Service View in ArcMap

39 Geospatial Data Needs/Opportunities Data needs are uncertain at this point. Opportunities are within analytic tools developed: ArcGIS Python Scripts R Scripts for database analytics Data visualization through web interfaces, e.g. data dashboards, web maps

40 Questions?

41 Mississippi Alluvial Valley Waterfowl Model SAVING THE WORLD ONE DUCK AT A TIME Mike Mitchell Ducks Unlimited GIS Programmer

42 Pretty simple stuff What is most likely limiting waterfowl? Energy Where do they get it? Agriculture (Cropscape) Wetlands (NLCD) Woody Herbaceous Water (Flood frequency)

43 A little complexity Does land ownership matter? Public lands (Managed) Refuge (Shapefile boundary) Private lands (Unmanaged maybe) WRP (LMVJV Thanks Blaine) Anything not in public

44 gets more complex Refuge impoundment specific (Water Management Database) Habitat type specific Water availability Hunting pressure Decomposition Temporal

45 Lets build a model

46 Public is easy

47 Private is a bunch of data prep Water Habitat

48 Disturbance

49

50 Done! Not quite Export data Data manipulation

51 Access Import Change defaults

52 Calc DED Before/AFter manipulation Change project defaults

53 Change stuff Sensitivity analysis Scenarios No more corn

54 Decomp and disturbance More defaults ~250 lines of code Mostly what if statements

55 Iterating over waterfowl wintering period by day Start with KG Set aside unavailable (foraging threshold) Calculate DED by cover type Disturbance based on DB Divide up ducks based on DED DED post forage KG post forage Add in unavailable Return KG value and start again Note on iteration Numpy matrix calculations thousands of times faster!

56 What s next? Tie it back into ArcGIS for some analysis Is energy dispersed evenly? Add managed private lands database

57 DU data? Gisweb.ducks.org (in progress) ArcOnline duinc.maps.arcgis.com (in progress) Call me

58

59

60

61 + Overview of the 3D Elevation Program (3DEP)

62 + 2 What is the 3D Elevation Program? 3DEP is a call for community action to Address the mission-critical requirements of 34 Federal agencies, 50 states, and a sampling of local governments, tribes, private and not for profit organizations documented in the National Enhanced Elevation Assessment Return more than $690 million annually in new benefits, ROI = 5:1 Leverage collaboration among Federal, states, local and tribal partners to systematically complete national 3D data coverage in 8 years Achieve a 25% cost efficiency gain by collecting data in larger projects Completely refresh national elevation data holdings with new lidar and ifsar elevation data products and services Natural Resource Conservation Infrastructure Management Flood Risk Mitigation Precision Farming Land Navigation and Safety Geologic Resources and Hazards Mitigation

63 + 3 Lidar Base Specifications 3D Elevation Program Opportunity Description 3DEP Lidar Base Specifications, Project Deliverables and Upgrade Options Must meet QL2 specifications Quality Level Source Vertical Accuracy RMSEz Nominal Pulse Spacing (NPS) Nominal Pulse Density (NPD) DEM Post Spacing QL1 Lidar 10 cm 0.35 m 8 points/sq. meter 0.5 meter QL2 Lidar 10 cm 0.7 m 2 points/sq. meter 1 meter QL3 Lidar 20 cm 1.4 m 0.5 points/sq. meter 2 meters QL4 Imagery 139 cm N/A N/A 5 meters QL5 Ifsar 185 cm N/A N/A 5 meters

64 + 4 Summary of Fiscal Year 2014 BAA Results Awards Made in Fiscal Year pre-proposals submitted requesting funds over $50M 29 projects were funded USGS, FEMA, and NRCS committed $9.8M, with a total estimated value from partners of $26.5M Results available at

65 + 5 U.S. Interagency Elevation Inventory

66 + 6 U.S. Interagency Elevation Inventory Quality Level 2 or better

67 Summary of FY15/16 BAA Pre-Proposals

68 + 8 3DEP FY16 BAA / FY17 Awards Timeline Attend National Webinars Attend National Webinars 2016 BAA Released Feedback provided on Preproposals April May June July Aug Sept Oct Nov Dec Jan Feb March Attend Public Workshops May/June Submit Preproposals July/August Submit Proposals September/ October Selections Announced November - February BAA Contract and Grant Administration BAA Project Execution

69 Collaboration Seasketch Application

70 + 10 3DEP FY15 BAA / FY16 Awards BAA Solicitation Contract Mechanism Geospatial Products and Services Contracts (GPSC) USGS manages contract, the applicant provides their portion of the project funding to the USGS The GPSC is a multiple award acquisition vehicle that is designed to utilize the teams of firms on the contract for services needed to accomplish 3DEP data acquisition. Firms on the GPSC have been selected based on their qualifications and performance in providing the professional services needed for 3DEP. The contracts include acquisition, processing, and quality assurance of lidar and other source geographic data. To ensure data quality and efficient development of standard products and services, the USGS prefers that partners use the GPSC when possible and practical and expects to allocate approximately 80% or more of the available funding to projects proposing to use the GPSC.

71 + 11 3DEP FY15 BAA / FY16 Awards BAA Solicitation Contract Mechanism Cooperative Agreement USGS provides financial assistance to the applicant by means of a cooperative agreement. (We pass funds to you) The applicant is responsible for securing a vendor to acquire the data The data must adhere to the data specifications and deliverables as defined in the USGS Lidar Base Specification V1.2; data must be placed in the public domain The USGS expects to allocate approximately 20% of the available funding to support cooperative agreements

72 + 12 3DEP FY15 BAA / FY16 Awards BAA Solicitation V.I and VII. Pre-proposal and Proposal Review Information A. Criteria BAA Attachment E: 1. Project Location Areas with no lidar coverage Existing data Data more than 8 years old QL3, 4, 5 Significant changes to the landscape have occurred 2. Areal Extent 3DEP Prefers project between 1500 and 5000 square miles Preference given to larger projects Projects outside of this range considered To fill in gaps in coverage For projects that represent significant cost share by the applicant 3DEP FY16 Status of 3DEP Quality Data

73 + 13 3D Elevation Program (3DEP) Resources 3D Elevation Program (3DEP) Broad Agency Announcement (BAA) Information Sharing Site National Map 3DEP site The 3D Elevation Program Initiative A call for Action USGS NGP Lidar Base Specification V1.2 For Further Information Contact: 3D Elevation Program: gs_baa@usgs.gov

74 + 14 NGP Communities of Use Feedback from user communities to ensure that NGP products and web services satisfy these users needs Natural Resources Conservation; Geologic Mapping and Hazards; Water With NGP Geospatial Liaison, prepare requirement document to submit to NGP for review and consideration Serve on a COU Technical Committee Review and prioritize improvement suggestions Provide feedback on NGP new directions