Phase 6 Land Use. Peter Claggett, U.S. Geological Survey Quentin Stubbs, U.S. Geological Survey

Similar documents
Mapping Phase 6 Land Uses Wetlands Delaware. February 26, 2015 Quentin Stubbs

Mapping Proposed Phase 6 Land Uses and Related Information

Agricultural Model Data Inputs and Assumptions: Presentation to the Water Quality GIT October, 2014

Maryland Phase II WIP Strategies. MONTGOMERY Agriculture - Annual Practices

E3 Model Scenario Purpose and Definitions

Research and Conservation Opportunities Arising from a High Resolution LiDAR Mission for the Long Point Biosphere Reserve and Surrounding Region

Planting and Harvesting Crops

Department of the Environment. Use. October 26, 2015 MDP and MDE SSA Stephanie Martins

Modeling the Urban Stormwater (and the rest of the watershed) Katherine Antos, Coordinator Water Quality Team U.S. EPA Chesapeake Bay Program Office

Chesapeake Bay Watershed Model Construction Land Use

We re looking for residue Have you seen any?

Department of the Environment & Maryland Department of Planning. Phase 6 Land-Use. Maryland s Methods

Recent updates to USGS StreamStats application for North Carolina

CAST Pass Through Factors and Deliverd Loads for New Wastewater Sources in Phase 6 Model

To provide timely, accurate, and useful statistics in service to U.S. agriculture

Recovery Potential Screening: EPA Tools, Data and Support for Watershed Planning and Prioritizing

Land Conservation & Chesapeake Restoration

7 Section 7: Land to Water

Chesapeake Bay Program Watershed Modeling. Gary Shenk, Lewis Linker, Rich Batiuk Presentation to STAC 3/22/2011

Integrating Agricultural Land Management into a Watershed Response Model

Iowa Nutrient Reduction Strategy: Background Information

USC BMP Definitions - Agricultural Best Management Practices (including NEIEN Code Id)

Laura Zanolli Geography Major/GIS/Geology/Water Resources Portland State University

West Fork White River Watershed Conservation Map Summaries. Prepared for the Beaver Watershed Alliance. By the Watershed Conservation Resource Center

Prioritizing Water-Quality Improvement Efforts on Agricultural Lands Using LiDAR Elevation Data

GLASI GLASI. Priority Subwatershed Project. Great Lakes Agricultural Stewardship Initiative

Nitrate removal by Chesapeake watershed riparian buffers and potential additional removal from buffer restoration

Proposed Interim Application Reduction Efficiency

Appendix 5A Priority Landscapes GIS Analysis Methodology

Spreadsheet Tool for Estimating Pollutant Loads. Models & Decision Support Tools Forum Penn State, Harrisburg, PA August 1, 2011

A Report on the City of Lexington s Existing and Possible Urban Tree Canopy

Chesapeake Bay s Problems

Vegetative Buffer Regulations to Protect Water quality

APPENDIX B: POLLUTANT LOADING ANALYSIS. Appendix B: Pollutant Loading Analysis

I-3 THE IMPERVIOUS COVER MODEL

Degradation of the resource Fertility loss Organic matter Tilth degradation. Water quality Sediment Nutrients

United States Department of Agriculture (USDA) Highlights of various programs. Wetlands Reserve program (WRP)

Theresa M. Possley Nelson, PE. Wisconsin Department of Natural Resources

Center for Nutrient Solutions (CNS) Nutrient Solution Scenarios Concept Paper September 5, 2014 Draft

California Rapid Assessment Method for Wetlands (CRAM) Introduction

Suggested Citation: Report Prepared by: Shari Clare and Shantel Koenig

CENTRAL COAST POST-CONSTRUCTION REQUIREMENTS IMPLEMENTATION GUIDANCE SERIES 1

Chesapeake Bay Maryland Phase I WIP Strategy Key Concepts: Septics and Stormwater June 13 th, 2011

The Water Institute

Impervious Cover as a Indicator and Tool of Watershed Protection

Cost Efficiency and Other

What is Urban Tree Canopy?

BMP Verification: What is it and How Will it Impact Pennsylvania?

New Approaches to Watershed Modelling Using STELLA. WeSMART Conference, December 11, 2014 Heather Cray & Michael McTavish

Post-Development Stormwater Runoff Performance Standards

USING LIDAR AND RAPIDEYE TO PROVIDE

The Impervious Cover Model, Revisited (Again)

Modeling the Influence of Agricultural Practices on Watershed Export of Phosphorus

West Virginia Watershed Assessment Pilot Project Outline & Assessment Methodology March 2012

1. Does the source or cover type depart in a meaningful way from the average nutrient loading for generic pervious land?

Appendix X: Non-Point Source Pollution

County- Scale Carbon Estimation in NASA s Carbon Monitoring System

A Report on the City of Chesapeake s Existing and Possible Urban Tree Canopy

Poultry in the Chesapeake Bay Program s Phase 6 Watershed Model

A Report on the Montgomery County s Existing and Possible Tree Canopy

EFFICIENT UTILIZATION OF ALL CROP NUTRIENTS SAVE TIME AND MONEY INVEST THOSE DOLLARS ELSEWHERE PHOSPHORUS AFFECTS SURFACE WATER (EUTROPHICATION)

Conservation Practices. Conservation Choices. These five icons will show the benefits each practice offers... 6/4/2014

1. Introduction. 1 Black Creek Watershed Management Plan Subwatershed Report

Production and Conservation Trade-off (PaCT) assessment tool

East Baton Rouge Parish Micro-Watershed Characterization

Hydroecological tool: enhancements and results. enhancements and results. Marci Meixler. Project partners: Sponsored by:

Request for Proposal Scope Development Guide. Asotin County Geomorphic Assessment. and. Conceptual Restoration Plan

CHATHAM PARK EXCEPTIONAL DESIGN EVALUATION

Jason R. Vogel, Ph.D., P.E. Biosystems and Agricultural Engineering Oklahoma State University

PA Chesapeake Bay Phase II Watershed Implementation Plan Schuylkill County Planning Targets

Telling watershed stories with science

15A NCAC 02B.0238 NEUSE RIVER BASIN-NUTRIENT SENSITIVE WATERS MANAGEMENT STRATEGY: AGRICULTURAL NITROGEN REDUCTION STRATEGY The following

California Rapid Assessment Method for Wetlands (CRAM) Buffer and Landscape Context Attribute

1/16/2016. California Rapid Assessment Method for Wetlands (CRAM) Buffer and Landscape Context Attribute. Buffer and Landscape Context Attribute

1985 Scenario Scenario. Tributary Strategy Scenario. Appendix J

Future Urbanization in the Chesapeake Bay Watershed

Appendix E : Guidelines for Riparian Buffer Areas

Water Quality Buffers for Waters and Wetlands

Nelson Branch Data Loggers

Nutrient and Sediment Loss Reduction by Perennial & Cover Crops

CHAPTER 6 ADDITIONAL STANDARDS APPLYING TO SHORELAND AREAS AND PUBLIC WATERS

Land Use Trends and Loss of Perennial Cover in the Corn Belt States: Biomass Crops as a Multifunctional Alternative

Introduction to the Riparian Areas Regulation

Chesapeake Bay Program Models:

Modeling Nutrient and Sediment Losses from Cropland D. J. Mulla Dept. Soil, Water, & Climate University of Minnesota

Watercourses and Wetlands and Agricultural Activities

ORDINANCE APPENDIX C RUNOFF COEFFICIENTS AND CURVE NUMBERS

Floodplains are an important constituent of coho habitats and can be targeted for restoration. NetMap s advanced floodplain mapping tool calculates

NWI 2007 NEW TOOLS AND TECHNOLOGIES. Ralph Tiner Wetland Ecologist U.S. Fish & Wildlife Service National Wetlands Inventory Program

WATER, HEAT STRESS, AND DROUGHT

Field-based Agricultural Resource Inventory of the Innisfil Creek Subwatershed, 2015

Manure Management Manual Revisions

A Report on the City of Newport News Existing and Possible Urban Tree Canopy

The Midpoint Assessment and Phase III WIP

Agriculture in the Great Lakes Basin Stewardship and Innovation

Agricultural Trip Generation - Linking Spatial Data and Travel Demand Modeling using SAS

Integrating erosion and phosphorus runoff assessment with nutrient management planning in SnapPlus

FieldDoc.io User Guide For 2016 NFWF Chesapeake Bay Stewardship Fund Applicants

Attachment # 1. Commonwealth of Pennsylvania. Pennsylvania Code. Title 25. Environmental Protection. Department of Environmental Protection

2010 Growing Season - Barton County, Kansas Land Cover Summary

Transcription:

Phase 6 Land Use Peter Claggett, U.S. Geological Survey Quentin Stubbs, U.S. Geological Survey

Building a 2012 Phase 6 Land Use Raster Database: Land Use Land Cover

Two Primary Approaches Towards constructing the Phase 6 Land Use dataset Low Resolution or No Local Data 30m or larger Spatial Resolution Imagery Vs. Output Phase 6 Land Use Dataset 10m 2m 29m High Resolution Local Data Less than 2m Diagram: Spatial resolution. Source: Satellite Imaging Corporation

Inputs NAVTEQ* Methods (example) Target Land Uses Roadways Institutions Spatial Aggregations Phase 6 Land Use Levels I, II, III Level II Impervious Level I Impervious Surfaces Developed National Land Cover Dataset* Forest Cover Tree Canopy Shrub/Scrub/Grass Agriculture Pervious Open Space Tree Canopy Turf Grass Crop Data Layer Agriculture National Hydrography Dataset DEM Waterbodies Streams Forest Cover Water Natural National Wetland Inventory* Flow Path Analysis Wetlands

Proposed Developed Phase 6 Land Uses Developed Level I Developed Level II Impervious Pervious Construction Extractive Level III Roads Tree Canopy Other (e.g. Buildings, parking lots, etc.) Open Space Turf

PG County, MD 2009 LUD with NAVTEQ at 10m resolution

NLCD 2011 with NAVTEQ at 10m resolution

Proposed Developed Phase 6 Land Uses Developed Phase 6 Roads Buildings, parking lots, etc. Turf grass Tree canopy Open space Construction Extractive Phase 5.3.2 Impervious surfaces Turf grass (pervious) Construction Extractive * provisional, pending further work on loading differences and model fitness

Proposed Developed Phase 6 Land Uses Agriculture Level I Agriculture Level II Commodity Crops Hay and Legume forage Specialty and Other Crops Farmsteads Level III Corn Alfalfa and other legumes Vines Animal Soybeans Non-legume forage Low Cover Non-animal Small Grains Pasture and pastured Cropland High Cover

Proposed Agricultural Phase 6 Land Uses (from Ag Workgroup and Ag Modeling Subcommittee) Agriculture Phase 6 Phase 5.3.2 Corn Soybeans Small grains Alfalfa Non-legume forage Pasture Vines Low cover specialty High cover specialty Impervious CAFO & AFO farmsteads Impervious non-animal farmsteads Pervious CAFO & AFO farmsteads Pervious non-animal farmsteads Hightill w/ & w/o manure Lowtill with manure Nutrient management hightill w/ & w/o manure Nutrient management lowtill Alfalfa Hay w/ & w/o nutrients Nutrient management alfalfa Nutrient management hay Pasture Nutrient management pasture Nursery AFOs CAFOs Degraded riparian pasture

Proposed Developed Phase 6 Land Uses Natural Level I Natural Level II Forests Wetlands Water (e.g., lakes, streams and ponds) Level III Undisturbed Tidal (saline & fresh) Harvested Floodplain Disturbed (e.g. insects, fire, etc.) Headwater Depressional

Proposed Natural Phase 6 Land Uses Natural Phase 6 Forests Harvested forest Disturbed forest Phase 5.3.2 Woody/open Harvested forest Tidal emergent wetlands Fresh emergent wetlands Non-tidal woody wetlands Water* Water * Will expand water coverage to include 1:24K National Hydrography Dataset waterbodies and possibly Dynamic Surface Water Extent.

Modeling Sediment (update) What s been done for Phase 6: WVU automated stream cross-section techniques to extract fluvial geomorphic data from LiDAR: bank height, channel width, valley width. WVU compared results with field data with favorable results. CWP refined techniques to estimate contribution of stream bank erosion to urban stream sediment loads.

Modeling Sediment (update) What will be done for Phase 6: Develop conceptual models to represent spatial variability in sediment processes by physiographic province (e.g., urban Piedmont vs rural Piedmont). Enhance automated methods to include: bank angle, channel and floodplain profile slopes, active floodplain width, and drainage area. Generate and compare continuous geospatial indicators of bank erosion and floodplain deposition with cross-section derived indicators. Summarize metrics by NHD+ catchment and evaluate with SPARROW Develop regression model for the Piedmont and Ridge and Valley provinces relating metrics to dendro-geomorphic measures of floodplain deposition. Expand analysis of stream source ratios of sediment to more urban areas.

Option 1 Three Approaches for Monitoring Land Cover Change Option 2 Option 3 Coarse 30m Wall-to-Wall Mapping Pros: Comprehensive Flexible- multiple uses Adaptable- changing objectives Cons: Accuracy Interpretation Level of expertise High-res 1m Wall-to-Wall Mapping Pros: Accuracy Comprehensive Flexible- multiple uses Adaptable- changing objectives Cons: Cost Interpretation Level of expertise High-res 1m Stratified Random Sampling Pros: Accuracy Interpretation Level of expertise Citizen participation and education Cons: Focused Limited utility Fixed QA/QC

Value of High-res Land Cover for Phase 6 High-Direct Partial- Indirect Level I Developed Level II Impervious Pervious Construction Extractive Level III Roads Tree Canopy Other (e.g. Buildings, parking lots, etc.) Open Space Turf

Value of High-res Land Cover for Phase 6 High-Direct Partial- Indirect Level I Agriculture Level II Commodity Crops Hay and Legume forage Specialty and Other Crops Farmsteads Level III Corn Alfalfa and other legumes Vines Animal Soybeans Non-legume forage Low Cover Non-animal Small Grains Pasture and pastured Cropland High Cover

Value of High-res Land Cover for Phase 6 High-Direct Partial- Indirect Level I Natural Level II Forests Wetlands Water (e.g., lakes, streams and ponds) Level III Undisturbed Tidal (saline & fresh) Harvested Floodplain Disturbed (e.g. insects, fire, etc.) Headwater Depressional

Phase 6 Land Use Peter Claggett, pclaggett@usgs.gov Quentin Stubbs, qstubbs@usgs.gov