USDA CarbonScapes CESU West Virginia University

Transcription

1 USDA CarbonScapes CESU West Virginia University USDA Global Change Task Force Meeting Brief USDA-NRCS National Soil Survey Center Geospatial Research Unit January 6, 2015 Sharon Waltman, Soil Scientist Responsible Official (RO)

2 USDA CarbonScapes: Mapping US Terrestrial Carbon Pools Involve Global Change Task Force to: 1. Identify authoritative USDA carbon data sources 1. Carbon Models and results 2. Geospatial layers and associated attributes (web services where available) 3. Proper use of USDA design principles (user interfaces, public affairs Existing reference web application sites, etc.) 2. Raise awareness about USDA CarbonScapes Potential 1. Build on OMB FGDC Geoplatform principles 2. Pubic access to USDA Carbon Data/Models via 3. Geospatial (big data) Planning and Reporting of GHG Inventories 3. Identify Sponsor to raise project above Agency Level (NRCS) for USDA OCIO consideration no easy way to develop multiagency collaborative tools with National focus, presently 2 (hampers our science)

3 USDA CarbonScapes: Mapping US Terrestrial Carbon Pools 1. Some History Online Visual Mapping and Analysis System Carbon focus Carbon Data Visualization Tool (CDVT) Contract Awarded to Critigen AG-3A75-S Keith Paustian, CSU-Natural Resources Ecology Lab Harlin Sutton, CSI Solutions Bruce Whitener, CSI Solutions 3

4 USDA CarbonScapes: Mapping US Terrestrial Carbon Pools 1. Some History USDA Team Assembled to formulate requirements and review final product USDA Membership NRCS Caroln Olson, Adam Chambers, Jeff Goebel, Marlen Eve, Sharon Waltman FS Greg Reams, Chris Woodall, Rich Birdsey NASS Rick Mueller ARS Ray Hunt 4

5 USDA CarbonScapes: Mapping US Terrestrial Carbon Pools 1. Some History CDVT Objectives - Provide Access to detailed information on relevant USDA carbon models and model results Access to spatial data relevant to carbon modeling (e.g. soil survey data, land cover, etc.) Ability to visualize USDA data via a map interface Tools to help the user understand data and model availability and characteristics Use Geoplatform principles (OMB Federal Geographic Data Committee for efficient use/management of federal geographic/spatial data 5

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7 Existing Carbon Data Visualization Tool (CDVT) Functions ArcGIS Web Tool (pan, zoom, overlay, report, swipe tool) Uses SQL Server DB Large collection of USDA Carbon Inventory data Crop Data Layers and Change Detection Gridded SSURGO Carbon Stocks/STATSGO2 Carbon stocks PRISM FIA and Forest Cover USDA Models and some run results USFS Models (COLE, ForCarb, CCT, et. NRCS Models (DayCent, COMET-VR, etc.) ARS Models (CQUESTOR)

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13 Critigen Carbon Data Visualization Tool (CDVT) Deficiencies Too complex Not easy to use Need GIS skills to decipher interface No simple reporting tool No data download capability Decision Seek University Cooperator to provide desired User Interface Enhancements to CDVT WVU CESU ( )

14 New USDA CarbonScapes Players West Virginia GIS Technical Center Kurt Donaldson, Director West Virginia University Department of Geology and Geography (Eberly College of Arts and Sciences) Staff and Graduate Students Division of Plant and Soil Sciences (Davis College of Agriculture) Dr. James Thompson, Professor of Pedology

15 New USDA CarbonScapes Tasks Completed Ported Critigen CDVT to WVU computing resources 2. Established url for project development 3. Conducted focus group and user requirements gathering surveys 4. Preparing reporting and clearing house tools based on focus group and survey findings

16 Focus groups included representatives suggested by the former CDVT USDA Team members. Very thoughtful and helpful group (USDA and partners) Key findings: - Carbon stock and mass units matter! - Everyone want to take the data with them or add to local GIS project - Everyone prefers different summary regions (States, counties, MLRA, Ecoregions, basins) - Everyone prefers their own model - Most don t stray far from their own terrestrial carbon cycle pool 16

17 Selected survey results 17

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21 USDA CarbonScapes Tools Three Tools Proposed: 1. Advanced Data Viewer (enhanced CDVT) 2. Public Summary Site 3. Clearinghouse

22 Old New USDA CarbonScapes Table 1. Proposed CarbonsScapes Tools CarbonScapes Survey Results: 85K76L68/ Advanced Data Viewer (Critigen Application) User s Manual: New Data Sources Web Services Reporting Data Download Metadata Search

23 USDA CarbonScapes Tools 1. Advanced Data Viewer (re-worked CDVT) For users seeking a richer, interactive experience with the data can turn to the existing online toolset accessed at (think GIS geek...) CDVT augmented with a more robust set of help and informational items including a series of video, audio, or graphical/textual tutorials to help users understand how to effectively use the existing toolset. Hidden links to the clearinghouse allow users to quickly and easily consume the raw data if desired.

24 USDA CarbonScapes Tools 2. Public Summary Site Curated (user directed) online mapping system that synthesizes (reports) big data into a more complete understanding of the national or regional picture. Provides a 10,000 foot view of the data for users of all levels of online technical expertise Answers questions such as How much soil carbon is there in the upper meter for MLRA 136? by providing a downloadable map and table

25 USDA CarbonScapes Tools 3. Clearinghouse Users will be able to search and browse for datasets which exist, find the minimal descriptions of the data, view fuller FGDC style metadata if it exists for a particular dataset, and find a way to download or otherwise consume the data. The user interface is expected to be easily understandable by anyone reasonably familiar with the Internet. and connections

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32 USDA CarbonScapes: Mapping US Terrestrial Carbon Pools How can USDA Use CarbonScapes? 4. USDA Detailed Soils Example (could be used for any/all appropriate USDA map layers and model results) gssurgo VALU Table SOC calculations 0-100cm depth for Land Resource Region R Northeastern Forest and Forage Region. 32

33 Useful References gssurgo web site gssurgo Data Availability & Content 33

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35 Content gssurgo VALU Table Database = Standard layers and zones 35

36 SOC g C / sq m, AWS mm gssurgo VALU Table Database Six standard layers 0 to 5 cm 5 to 20 cm 20 to 50 cm 50 to 100 cm 100 to 150 cm 150+ cm Five standard zones 0-5cm (same as layer 1) 0-20cm 0-30cm (full reported soil depth) cm 5-20 cm 20-50cm cm cm 150+ cm Image: Alfred Hartemink 36

37 SOC g C / sq m, AWS mm gssurgo VALU Table Database Six standard layers 0 to 5 cm 5 to 20 cm 20 to 50 cm 50 to 100 cm 100 to 150 cm 150+ cm Five standard zones 0-5cm (same as layer 1) 0-20cm 0-30cm (full reported soil depth) cm 5-20 cm 20-50cm cm cm 150+ cm Image: Alfred Hartemink 37

38 SOC g C / sq m, AWS mm gssurgo VALU Table Database Six standard layers 0 to 5 cm 5 to 20 cm 20 to 50 cm 50 to 100 cm 100 to 150 cm 150+ cm Five standard zones 0-5cm (same as layer 1) 0-20cm 0-30cm (full reported soil depth) cm 5-20 cm 20-50cm cm cm 150+ cm Image: Alfred Hartemink 38

39 SOC g C / sq m, AWS mm gssurgo VALU Table Database Six standard layers 0 to 5 cm 5 to 20 cm 20 to 50 cm 50 to 100 cm 100 to 150 cm 150+ cm Five standard zones 0-5cm (same as layer 1) 0-20cm 0-30cm (full reported soil depth) cm 5-20 cm 20-50cm cm cm 150+ cm Image: Alfred Hartemink 39

40 SOC g C / sq m, AWS mm gssurgo VALU Table Database Six standard layers 0 to 5 cm 5 to 20 cm 20 to 50 cm 50 to 100 cm 100 to 150 cm 150+ cm Five standard zones 0-5cm (same as layer 1) 0-20cm 0-30cm (full reported soil depth) cm 5-20 cm 20-50cm cm cm 150+ cm Image: Alfred Hartemink 40

41 SOC g C / sq m, AWS mm gssurgo VALU Table Database Six standard layers 0 to 5 cm 5 to 20 cm 20 to 50 cm 50 to 100 cm 100 to 150 cm 150+ cm Five standard zones 0-5cm (same as layer 1) 0-20cm 0-30cm (full reported soil depth) cm 5-20 cm 20-50cm cm cm 150+ cm Image: Alfred Hartemink 41

42 SOC g C / sq m, AWS mm gssurgo VALU Table Database Six standard layers 0 to 5 cm 5 to 20 cm 20 to 50 cm 50 to 100 cm 100 to 150 cm 150+ cm Five standard zones 0-5cm (same as layer 1) 0-20cm 0-30cm (full reported soil depth) cm 5-20 cm 20-50cm cm cm 150+ cm Image: Alfred Hartemink 42

43 SOC g C / sq m, AWS mm gssurgo VALU Table Database Six standard layers 0 to 5 cm 5 to 20 cm 20 to 50 cm 50 to 100 cm 100 to 150 cm 150+ cm Five standard zones 0-5cm (same as layer 1) 0-20cm 0-30cm (full reported soil depth) cm 5-20 cm 20-50cm cm cm 150+ cm Image: Alfred Hartemink 43

44 SOC g C / sq m, AWS mm gssurgo VALU Table Database Six standard layers 0 to 5 cm 5 to 20 cm 20 to 50 cm 50 to 100 cm 100 to 150 cm 150+ cm Five standard zones 0-5cm (same as layer 1) 0-20cm 0-30cm (full reported soil depth) cm 5-20 cm 20-50cm cm cm 150+ cm Image: Alfred Hartemink 44

45 SOC g C / sq m, AWS mm gssurgo VALU Table Database Six standard layers 0 to 5 cm 5 to 20 cm 20 to 50 cm 50 to 100 cm 100 to 150 cm 150+ cm Five standard zones 0-5cm (same as layer 1) 0-20cm 0-30cm (full reported soil depth) cm 5-20 cm 30 cm 20-50cm cm cm 150+ cm Image: Alfred Hartemink 45

46 SOC g C / sq m, AWS mm gssurgo VALU Table Database Six standard layers 0 to 5 cm 5 to 20 cm 20 to 50 cm 50 to 100 cm 100 to 150 cm 150+ cm Five standard zones 0-5cm (same as layer 1) 0-20cm 0-30cm 0-100** our example (full reported soil depth) cm 5-20 cm 20-50cm cm cm 150+ cm Image: Alfred Hartemink 46

47 SOC g C / sq m, AWS mm gssurgo VALU Table Database Six standard layers 0 to 5 cm 5 to 20 cm 20 to 50 cm 50 to 100 cm 100 to 150 cm 150+ cm Five standard zones 0-5cm (same as layer 1) 0-20cm 0-30cm (full reported soil depth) cm 5-20 cm 20-50cm cm cm 150+ cm Image: Alfred Hartemink 47

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50 Summary by State/County 50

51 Summary by watershed/basins (12-digit HUC) 51

52 USDA CarbonScapes: Mapping US Terrestrial Carbon Pools Involve Global Change Task Force to: 1. Identify authoritative USDA carbon data sources 1. Carbon Models and results 2. Geospatial layers and associated attributes (web services where available) 3. Proper use of USDA design principles (user interfaces, public affairs Existing reference web application sites, etc.) 2. Raise awareness about USDA CarbonScapes Potential 1. Build on OMB FGDC Geoplatform principles 2. Pubic access to USDA Carbon Data/Models via 3. Geospatial (big data) Planning and Reporting of GHG Inventories 3. Identify Sponsor to raise project above Agency Level (NRCS) for USDA OCIO consideration no easy way to develop multiagency collaborative tools with National focus, presently (hampers our science) 52

53 USDA CarbonScapes Web Sites USDA CarbonScapes Development site CarbonScapes Survey Results: Advanced Data Viewer (Critigen Application) User s Manual: 53

54 Questions? USDA-NRCS National Soil Survey Center January 2015 Sharon Waltman Soil Scientist Geospatial Research Unit