Application of GIS and remote sensing in conservation of vernal pools
|
|
- Kelley Gardner
- 6 years ago
- Views:
Transcription
1 Priyanka Patel NRS /16/2014 Application of GIS and remote sensing in conservation of vernal pools Vernal pools are small temporary water bodies that contain water for some parts of the year. They lack any permanent inflow or outflow of water. These pools fill up with water during the fall season and may contain water till spring or early summer. The hydro period for these ponds varies from 2-8 months. Due to periodic drying these pools don t support a fish population. This becomes an asset for amphibian population. They use these ponds to lay their eggs. Due to lack of predators the eggs and metamorphs have a better chance at survival than in a permanent pool. In the northeast they are great habitat for wood frog and spotted salamander metamorphs. They lay their eggs in these pools and use the uplands for feeding and forging. Protection of vernal pools has been a problem since they do not fall under the wetlands class. Vernal pools get protection till the edge of the water but development in uplands destroys the amphibian feeding grounds, which forces them to move, and hence they cannot use the vernal pool anymore. Hence vernal pool protection requires providing a buffer around it. The biggest problem with conservation of these pools is the difficulty to find them on the landscape. They are present randomly on the surface like in the middle of forest, shrub lands etc. To carry out field surveys by walking transects in the forest would make mapping for an entire state a very tedious and labor- intensive job. Their small size and short hydroperiod makes its even more challenging to locate them. GIS plays a very important job in helping locate these pools. Various remote sensing and GIS techniques have been used to predict sites of potential vernal pools. Initially flight lines taking vertical aerial photographs were a resource. These different photographs from different flight line were mosaicked together using GIS to create a photomosaic (Holland, 1998). Photomosaic would provide one big picture of the area of interest. The most common practice is the use of interpreters to look at these images and predict presence of small water bodies that could possibly be vernal pools. This method was not very reliable since it could not be reproduced and the results would very depending on the interpreter. It also increased the chance of error of commission and omission (Wu et al, 2014; Lathrop et al, 2005). This method was still used because it gave a good start to start verifying vernal pools and more ponds are found by this method compared to only field surveys. As GIS techniques improve there is a gradual change in the vernal pool prediction process. Better quality orthophotos are used. As the resolution of the orthophotos became better the identification of small pools became easier. Another
2 technique used to predict sites is by overlaying different layers. Linear regression is done on confirmed vernal pool dataset to know the important factors determining vernal pool locations. These layers are overlaid to analyze areas where the all match the requirement and vernal pool locations are predicted. Different layers like slope, soil, land use, bedrock geology, precipitation etc have been used for this method (Grant, 2005). The most recent technique is the use of LiDAR data. This data is used to predict small depressions on the surface. This can be done using depression analysis. These depressions can be overlaid with different layers to make sure they are not permanent wetlands or on any developed land. This is an effective way to get locations and chances of error of commission and omission are reduced. These points can be confirmed by checking with orthophotos to make sure that these depressions contain water (Wu et al, 2014). These techniques have been used in many different ways to conserve vernal pools. Old aerial photographs have been used to reconstruct the distribution of vernal pools before urbanization. This has been used to analyze the flora, soil type suitable for vernal pools and conservation plans are made based on this information (Bauder and McMillan, 1998). This photo interpretation technique is used to develop the current vernal pool distribution and compare it to the previous distribution and analyze the land use changes. This information can be used to improve urbanization techniques in ways that there is minimal effect on these pools (Holland, 1998). Another method is to develop a database of potential sites that can be used by volunteers. The volunteers can be trained to carry out verification surveys. This will help create a database of confirmed vernal pools that have the short hydro period and are being used by amphibians. These confirmed pools have been provided protection in many different states (Oscarson and Calhoun, 2007). GIS is a very crucial part of conserving vernal pools. Without the currently available GIS techniques it would have been hard to imagine statewide mapping of vernal pools. The future of GIS applications in vernal pool conservation involves improving quality of orthophotos. Even though very good quality has been achieved they are not readily available for every state. Making this data available will help improve the process of mapping the distribution. LiDAR can play a very crucial role in detecting vernal pools. It is very recent and there is not much LiDAR data available. The LiDAR data needs to be updated for every state, which will improve the quality of predictions and reduce the amount of error. GIS and remote sensing have made this process much easier and with the rate of advancement in this field very soon we will be able to predict all the vernal pools in the state without any error.
3 Annotated Bibliography Qiusheng Wu, Charles Lane and Hongxing Liu. An Effective Method for Detecting Potential Woodland Vernal Pools Using High-Resolution LiDAR Data and Aerial Imagery. Remote Sens. (2014) Volume 6 This paper focuses on trying to find an alternative other than aerial photo interpretation to predict vernal pools. They want to develop a process where the inconsistencies in the results and improve their repeatability. The interesting approach taken by the authors is to use highresolution LiDAR data and combine it with leaf off color-infrared aerial photography to give more accurate predictions. They use Monte Carlo approach to do a depression analysis, which helps distinguish between actual depressions and other objects. The National Hydrography dataset (NHD) was used with a 10-meter buffer around it and any depression falling inside the buffer were eliminated. This removed all the permanent water bodies and eliminated majority pools that could be connected to a permanent inlet or outlet. This data was generated and matched with the existing database of potential vernal pools. This was done to measure the efficiency of the model to predict the location of these pools. The data was also overlaid with the aerial photograph to visually see if there was water. This helped detect the error of commission and omission. This paper made effective use of LiDAR data and reduced the percentage of error in predicting locations of vernal pools. Bradley W. Compton, Kevin Mcgarigal, Samuel A. Cushman, and Lloyd R. Gamble. A Resistant-Kernel Model of Connectivity for Amphibians that Breed in Vernal Pools. Conservation Biology (2007) Volume 21, No. 3, This paper brings up a different view for conservation of vernal pools. While most papers aim to conserve the water body and some parts of the surrounding upland, which in turn protects amphibians, this paper considers the importance of connectivity between vernal pools for the metapopulation of salamanders. They stated that since ambystomatids depend on metapopulation to conserve them there is a need to conserve the connectivity between pools. They used kernel estimator to determine local, neighborhood and regional connectivity. They took into account the dispersal distance of the salamander and the resistance caused by the variation in landscape. Based on the results of these three tests individual pools were given a score. The author intended to provide conservation efforts to areas that have biggest group of high score pools. The results showed that the density was more near suburban areas. The author wants to use this information to determine vernal pool hotspots and provide more protection to maintain connectivity between pools. Damon B. Oscarson and Aram J. K. Calhoun. Developing Vernal Pool Conservation Plans at the Local Level Using Citizen-Scientists. Wetlands (2207), Vol. 27, No. 1, The density of vernal pools in an area is really high and to verify them would take a long time. Using citizen scientist can help map these pools faster. This paper uses GIS to locate potential sites and get their coordinate to make it easier for citizens to get to the location and verify the site. They used different aerial photos depends on the availability for that area. They used black and white or colored aerial photographs during spring when the leaves were not
4 present. These photographs were interpreted to develop a data layer with potential site. This layer was overlaid with tax parcel maps to give information of the property owners where the pools where present. This information was important to get permission to survey these pools. The volunteers were trained to verify pools and assign them in three different tiers depending on the amount of amphibian activity. Every town was given access to GIS information of the verified vernal pools and their tier information. Volunteers usually find the sites missed by photointerpretation during field surveys hence reducing error of omission. Towns develop their conservation strategy use the location and tier information, which helps prioritize the conservation needs of various pools. Evan H. Campbell Grant. Correlates Of Vernal Pool Occurrence in the Massachusetts, USA Landscape. The Society of Wetland Scientists (2005) Vol. 25, No. 2 In this paper Campbell discusses the importance of mapping vernal pools to provide them the required protection. Campbell uses surficial geology, soil, land use, topography, hydrology and average annual precipitation data to predict possible locations of vernal pools. GIS is used to collect the different data layers and analyze the possible locations. The model was validated using set of potential points and another set of random points on the landscape. The model was also checked using pre existing data of verified vernal pools. This showed that the accuracy of the model was 64.8%. The analysis showed negative correlation wit developed areas and cropland. Surficial geology showed that pools were located near sand, gravel, fine grained, flood plain and alluvium while bedrock was not a preferred class. Richard G. Lathrop, Paul Montesano, Jason Tesauro, Brian Zarate. Statewide mapping and assessment of vernal pools: A New Jersey case study. Journal of Environmental Management 76 (2005) In this paper they use leaf off- springtime color infrared aerial photography from1995 with1m resolution made available by USGS. Leaf off helps locating the vernal pools while spring time is important because most vernal pools will contain water and will be more visible on aerial photographs photograph was not used as it was a dry year and many pools would be dry and hard to locate. The interesting part of the paper was that field surveys were done to measure the error of commission and omission. Results showed 88%accuracy and 2% error of commission. The field surveys also showed minimum size that can be mapped is 0.02 ha. Less than this size greatly increases the size of commission and omission. The good part about digitizing vernal pools was that they preferred to make error of commission as these could be later removed after being field verified by trained volunteers. They avoided omitting mapping vernal pools. The areas surrounding the sites were verified to make sure no close by vernal pools are missed out. Robert F. Holland. Great Valley Vernal Pool Distribution, Photorevised Ecology (1998). This paper focuses on mapping the distribution of vernal pools in several counties California to study the change in distribution. They use vertical oriented true-color 35mm slides that were developed to keep check of utilization of irrigation water. Many different slides are put together to get the view of all the counties required slides were required to cover a 7.5inch quadrangle. The slides used were taken in the early summer making it easier to distinguish
5 vegetation from vernal pools. ArcGIS was used to digitize each polygon boundary for the project. GIS was used to provide attributes to each pool depending on the amount of disturbance. This map was compared with the historic distribution and obvious patterns were noticed. The basic layout was similar but the pools that were more disturbed were found near the area that has seen most amount of urbanization. Habitat fragmentation is noticed but there is an increase in total amount of acres covered by vernal pools despites the loss of habitat. The assumption is that the previous mapping may not have been extensive due to poor resolution.
NR402 GIS Applications in Natural Resources. Lesson 9: Scale and Accuracy
NR402 GIS Applications in Natural Resources Lesson 9: Scale and Accuracy 1 Map scale Map scale specifies the amount of reduction between the real world and the map The map scale specifies how much the
More informationAppendix J Vegetation Change Analysis Methodology
Appendix J Vegetation Change Analysis Methodology Regional Groundwater Storage and Recovery Project Draft EIR Appendix-J April 2013 APPENDIX J- LAKE MERCED VEGETATION CHANGE ANALYSIS METHODOLOGY Building
More informationAppendix I Feasibility Study for Vernal Pool and Swale Complex Mapping
Feasibility Study for Vernal Pool and Swale Complex Mapping This page intentionally left blank. 0 0 0 FEASIBILITY STUDY BY GIC AND SAIC FOR MAPPING VERNAL SWALE COMPLEX AND VERNAL POOLS AND THE RESOLUTION
More informationWetland Mapping. Wetland Mapping in the United States. State Wetland Losses 53% in Lower US. Matthew J. Gray University of Tennessee
Wetland Mapping Caribbean Matthew J. Gray University of Tennessee Wetland Mapping in the United States Shaw and Fredine (1956) National Wetlands Inventory U.S. Fish and Wildlife Service is the principle
More informationEffects of Fragmentation on Connectivity: Implications for Pool Dependent Herpetofauna in the Northeastern United States
Eric C. NRS 534 April 29, 2013 Effects of Fragmentation on Connectivity: Implications for Pool Dependent Herpetofauna in the Northeastern United States Vernal pools of the northeastern United States are
More informationNikki Sacha. NRS 509 Restoration Ecology
Nikki Sacha NRS 509 Restoration Ecology There were several ways that GIS was incorporated into restoration ecology that was repeated in the eight articles that I reviewed. The first was that it served
More informationResolving habitat classification and structure using aerial photography. Michael Wilson Center for Conservation Biology College of William and Mary
Resolving habitat classification and structure using aerial photography Michael Wilson Center for Conservation Biology College of William and Mary Aerial Photo-interpretation Digitizing features of aerial
More informationNative species (Forbes and Graminoids) Less than 5% woody plant species. Inclusions of vernal pools. High plant diversity
WILLAMETTE VALLEY WET-PRAIRIE RESTORATION MODEL WHAT IS A WILLAMETTE VALLEY WET-PRAIRIE Hot Spot s Native species (Forbes and Graminoids) Rare plant species Less than 5% woody plant species Often dominated
More informationDevelopment and Land Use Change in the Central Potomac River Watershed. Rebecca Posa. GIS for Water Resources, Fall 2014 University of Texas
Development and Land Use Change in the Central Potomac River Watershed Rebecca Posa GIS for Water Resources, Fall 2014 University of Texas December 5, 2014 Table of Contents I. Introduction and Motivation..4
More informationSoil Map Boulder County Area, Colorado (Planet Blue Grass) Web Soil Survey National Cooperative Soil Survey
475910 476000 476090 476180 476270 476360 105 16' 21'' W 476450 476540 476630 476720 476810 4453350 4453440 4453260 4453350 4453170 4453260 4453080 4453170 4453080 475820 475910 4452990 476000 476090 476180
More informationWaterborne Environmental, Inc., Leesburg, VA, USA 2. Syngenta Crop Protection, LLC, North America 3. Syngenta Crop Protection, Int.
Application of High Resolution Elevation Data (LiDAR) to Assess Natural and Anthropogenic Agricultural Features Affecting the Transport of Pesticides at Multiple Spatial Scales Josh Amos 1, Chris Holmes
More informationVector Analysis: Farm Land Suitability Analysis in Groton, MA
Vector Analysis: Farm Land Suitability Analysis in Groton, MA Written by Adrienne Goldsberry, revised by Carolyn Talmadge 10/9/2018 Introduction In this assignment, you will help to identify potentially
More informationSummary Description Municipality of Anchorage. Anchorage Coastal Resource Atlas Project
Summary Description Municipality of Anchorage Anchorage Coastal Resource Atlas Project By: Thede Tobish, MOA Planner; and Charlie Barnwell, MOA GIS Manager Introduction Local governments often struggle
More informationPierce Cedar Creek Institute GIS Development Final Report. Grand Valley State University
Pierce Cedar Creek Institute GIS Development Final Report Grand Valley State University Major Goals of Project The two primary goals of the project were to provide Matt VanPortfliet, GVSU student, the
More informationWetlands in the Context of Road Projects
September, 2011 Wetlands in the Context of Road Projects Goals of presentation include understanding: 1) need for accurate representation of wetlands and proposed impacts 2) time needed for concurrence
More informationHuron Creek Watershed 2005 Land Use Map
Huron Creek Watershed 2005 Land Use Map Created By: Linda Kersten, 12/20/06 Created For: MTU Introduction to GIS Class (FW 5550) The Huron Creek Watershed Advisory Committee Michigan Technological University,
More informationImprovement of the National Hydrography Dataset for Parts of the Lower Colorado Region and Additional Areas of Importance to the DLCC
Improvement of the National Hydrography Dataset for Parts of the Lower Colorado Region and Additional Areas of Importance to the DLCC Carlos Reyes-Andrade California State University, Northridge September
More informationIntroduction to Geographic Information Systems (GIS): Environmental Science Focus
Introduction to Geographic Information Systems (GIS): Environmental Science Focus September 9, 2013 We will begin at 9:10 AM. Login info: Username:!cnrguest Password: gocal_bears Instructor: Domain: CAMPUS
More informationMinimum Standards for Wetland Delineations
Minimum Standards for Wetland Delineations Jason Gipson Chief, Utah/Nevada Regulatory Branch Sacramento District Regulatory Program Workshop 16 Mar 2016 US Army Corps of Engineers Delineation Report Minimum
More informationWhy Geomorphology for Fish Passage
Channel Morphology - Stream Crossing Interactions An Overview Michael Love Michael Love & Associates mlove@h2odesigns.com (707) 476-8938 Why Geomorphology for Fish Passage 1. Understand the Scale of the
More informationDetecting Landscape Changes in High Latitude Environments Using Landsat Trend Analysis: 2. Classification
1 Detecting Landscape Changes in High Latitude Environments Using Landsat Trend Analysis: 2. Classification Ian Olthof and Robert H. Fraser Canada Centre for Mapping and Earth Observation Natural Resources
More informationESRI NONPROFIT/CONSERVATION GRANTS PROGRAM STATUS REPORT JANUARY 2010
ESRI NONPROFIT/CONSERVATION GRANTS PROGRAM STATUS REPORT JANUARY 2010 Grantee ESRI Client Number 150983 FARMINGTON RIVER WATERSHED ASSOCIATION 749 Hopmeadow Street, Simsbury, Connecticut 06070 Contact:
More informationLouisiana Transportation Engineering Conference. Monday, February 12, 2007
Louisiana Transportation Engineering Conference Monday, February 12, 2007 Agenda Project Background Goal of EIS Why Use GIS? What is GIS? How used on this Project Other site selection tools I-69 Corridor
More informationHarrison 1. Identifying Wetlands by GIS Software Submitted July 30, ,470 words By Catherine Harrison University of Virginia
Harrison 1 Identifying Wetlands by GIS Software Submitted July 30, 2015 4,470 words By Catherine Harrison University of Virginia cch2fy@virginia.edu Harrison 2 ABSTRACT The Virginia Department of Transportation
More informationPotential Restorable Wetlands (PRWs):
ASWM Webinar Sept. 17, 2014 Potential Restorable Wetlands (PRWs): Working definition: wetland hydrology and soils minus presently mapped wetlands for the re-establishment of wetlands Hydric Soil Query
More informationLand cover/land use mapping and cha Mongolian plateau using remote sens. Title. Author(s) Bagan, Hasi; Yamagata, Yoshiki. Citation Japan.
Title Land cover/land use mapping and cha Mongolian plateau using remote sens Author(s) Bagan, Hasi; Yamagata, Yoshiki International Symposium on "The Imp Citation Region Specific Systems". 6 Nove Japan.
More informationChapter 6. Fundamentals of GIS-Based Data Analysis for Decision Support. Table 6.1. Spatial Data Transformations by Geospatial Data Types
Chapter 6 Fundamentals of GIS-Based Data Analysis for Decision Support FROM: Points Lines Polygons Fields Table 6.1. Spatial Data Transformations by Geospatial Data Types TO: Points Lines Polygons Fields
More informationDeveloping an Effective Approach for Identifying and Mapping Vernal Pools in Michigan
Developing an Effective Approach for Identifying and Mapping Vernal Pools in Michigan Yu Man Lee and Helen Enander, Michigan Natural Features Inventory Michael Battaglia, Michigan Tech Research Institute
More informationMcHenry County Property Search Sources of Information
Disclaimer: The information in this system may contain inaccuracies or typographical errors. The information in this system is a digital representation of information derived from original documents; as
More informationUSING HYPERSPECTRAL IMAGERY
USING HYPERSPECTRAL IMAGERY AND LIDAR DATA TO DETECT PLANT INVASIONS 2016 ESRI CANADA SCHOLARSHIP APPLICATION CURTIS CHANCE M.SC. CANDIDATE FACULTY OF FORESTRY UNIVERSITY OF BRITISH COLUMBIA CURTIS.CHANCE@ALUMNI.UBC.CA
More informationAppendix P San Joaquin Valley Greenprint
Appendix P San Joaquin Valley Greenprint TCAG 2014 Regional Transportation Plan San Joaquin Valley Greenprint Data Supplement for SCS Planning And Impact Assessment 3/25/2013 This document is intended
More informationCustom Soil Resource Report for Forrest County, Mississippi
United States Department of Agriculture Natural Resources Conservation Service A product of the National Cooperative Soil Survey, a joint effort of the United States Department of Agriculture and other
More informationGRAPEVINE LAKE MODELING & WATERSHED CHARACTERISTICS
GRAPEVINE LAKE MODELING & WATERSHED CHARACTERISTICS Photo Credit: Lake Grapevine Boat Ramps Nash Mock GIS in Water Resources Fall 2016 Table of Contents Figures and Tables... 2 Introduction... 3 Objectives...
More information3 SHORELINE CLASSIFICATION METHODOLOGY
3 SHORELINE CLASSIFICATION METHODOLOGY Introduction The ESI scale, as described in Section 2, categorizes coastal habitats in terms of their susceptibility to spilled oil, taking into consideration a number
More informationAdam Hogg Inventory Monitoring & Assessment, Ministry of Natural Resources Headwaters Workshop May 20, 2009
Geomatics Tools for Mapping Headwater Streams Adam Hogg Inventory Monitoring & Assessment, Ministry of Natural Resources Headwaters Workshop May 20, 2009 Outline The Challenge What is a headwater stream?
More informationDeveloped new methodologies for mapping and characterizing suburban sprawl in the Northeastern Forests
Development of Functional Ecological Indicators of Suburban Sprawl for the Northeastern Forest Landscape Principal Investigator: Austin Troy UVM, Rubenstein School of Environment and Natural Resources
More informationQuality and Coverage of Data Sources
Quality and Coverage of Data Sources Objectives Selecting an appropriate source for each item of information to be stored in the GIS database is very important for GIS Data Capture. Selection of quality
More informationA Help Guide for Using gssurgo to Find Potential Wetland Soil Landscapes
A Help Guide for Using gssurgo to Find Potential Wetland Soil Landscapes Wetland Mapping Consortium Webinar September 17, 2014 Dr. John M. Galbraith Crop & Soil Environmental Sciences Virginia Tech Wetland
More informationDescribing Greater sage-grouse (Centrocercus urophasianus) Nesting Habitat at Multiple Spatial Scales in Southeastern Oregon
Describing Greater sage-grouse (Centrocercus urophasianus) Nesting Habitat at Multiple Spatial Scales in Southeastern Oregon Steven Petersen, Richard Miller, Andrew Yost, and Michael Gregg SUMMARY Plant
More informationHistory & Scope of Remote Sensing FOUNDATIONS
History & Scope of Remote Sensing FOUNDATIONS Lecture Overview Introduction Overview of visual information Power of imagery Definition What is remote sensing? Definition standard for class History of Remote
More informationClyde River Landslide
Clyde River Landslide Department of Geology, Perkins Hall, University of Vermont, Burlington, VT 05405 Abstract: This paper investigates a landslide on the Clyde River in Newport, Vermont. The landslide
More informationConservation Plan for the Wood Turtle in the Northeastern United States. Mapping Guidelines
Conservation Plan for the Wood Turtle in the Northeastern United States Mapping Guidelines Northeast Wood Turtle Working Group Supported in part by the USFWS Competitive State Wildlife Grant Program Overview:
More informationA wetland is not fully protected til it s safely in a geo-database MassDEP 1 Winter Street Boston, MA
Massachusetts Wetlands Mapping and Monitoring Program A wetland is not fully protected til it s safely in a geo-database Massachusetts Long History of Wetlands Protection Regulations Densely developed
More informationEffect of land cover / use change on soil erosion assessment in Dubračina catchment (Croatia)
European Water 57: 171-177, 2017. 2017 E.W. Publications Effect of land cover / use change on soil erosion assessment in Dubračina catchment (Croatia) N. Dragičević *, B. Karleuša and N. Ožanić Faculty
More informationSpatial Survey of Surface Soil Moisture in a Sub-alpine Watershed Colloquium Presentation, University of Denver, Department of Geography
Thank you all for coming today. I will be talking about my thesis work concerning the spatial distribution of soil moisture in an alpine catchment. But first we need some background in soil moisture. Why
More informationGeospatial Data, Services, and Products. National Surveying, mapping and geospatial conference
Geospatial Data, Services, and Products Federal Programs -- USDA NRCS National Surveying, mapping and geospatial conference March 15, 2016 NRCS Applications using Geosaptial Products & Services Field
More informationPreparation of Database for Urban Development
Preparation of Database for Urban Development By PunyaP OLI, 1. Chairman, ERMC (P) Ltd., Kathmandu, Nepal. Email: punyaoli@ermcnepal.com 2. Coordinator, Himalayan College of Geomatic Engineering and Land
More informationThe Use of Geographic Information Systems to Assess Change in Salt Marsh Ecosystems Under Rising Sea Level Scenarios.
The Use of Geographic Information Systems to Assess Change in Salt Marsh Ecosystems Under Rising Sea Level Scenarios Robert Hancock The ecological challenges presented by global climate change are vast,
More informationIntroducing GIS analysis
1 Introducing GIS analysis GIS analysis lets you see patterns and relationships in your geographic data. The results of your analysis will give you insight into a place, help you focus your actions, or
More informationNATIONAL HYDROGRAPHY DATASET (NHD) UPDATE PROJECT FOR US FOREST SERVICE REGION 3
NATIONAL HYDROGRAPHY DATASET (NHD) UPDATE PROJECT FOR US FOREST SERVICE REGION 3 Allison Moncada California State University, Northridge February 2018 July 2018 Advisor: Joel Osuna Center for Geospatial
More informationUrban Growth and Development Using SLEUTH: Philadelphia Metropolitan Region
Urban Growth and Development Using SLEUTH: Philadelphia Metropolitan Region ALYSSA LYND CODY HITT GUS FREDERICK 1.0 INTRODUCTION The metropolitan and suburban regions of Philadelphia and its surrounding
More informationGeomorphic Assessment of the Middle and Lower Swan Lake Watershed, Calhoun Division of Two Rivers National Wildlife Refuge.
Geomorphic Assessment of the Middle and Lower Swan Lake Watershed, Calhoun Division of Two Rivers National Wildlife Refuge Report Figures 33 34 Figure 1. Location of Middle and Lower Swan Lake watersheds
More informationWetland and Riparian Mapping: An Overview of the Montana Program
Wetland and Riparian Mapping: An Overview of the Montana Program Meghan Burns, Catherine McIntyre, Karen Newlon Ecology Program Montana Natural Heritage Program Helena, MT Montana Natural Heritage Program
More informationLogistic Regression for Distribution Modeling
Logistic Regression for Distribution Modeling GIS5306 GIS Applications in Environmental Systems Presented by: Andrea Palmiotto John Perry Theory Familiar Territory Linear Regression Relevant Assumptions
More informationEvaluating Urban Vegetation Cover Using LiDAR and High Resolution Imagery
Evaluating Urban Vegetation Cover Using LiDAR and High Resolution Imagery Y.A. Ayad and D. C. Mendez Clarion University of Pennsylvania Abstract One of the key planning factors in urban and built up environments
More informationDevelopment of Improved Stream Mapping for NC
Development of Improved Stream Mapping for NC Presentation for Soil Science Society of North Carolina NC Division of Water Quality January 21, 2009 What are stream maps used for? Riparian buffer rules
More informationidentify tile lines. The imagery used in tile lines identification should be processed in digital format.
Question and Answers: Automated identification of tile drainage from remotely sensed data Bibi Naz, Srinivasulu Ale, Laura Bowling and Chris Johannsen Introduction: Subsurface drainage (popularly known
More informationLand Accounts - The Canadian Experience
Land Accounts - The Canadian Experience Development of a Geospatial database to measure the effect of human activity on the environment Who is doing Land Accounts Statistics Canada (national) Component
More informationSouthern California Coastal Water Research Project. Sharon De Leon. California State University Northridge. June 19, May 2013
Southern California Coastal Water Research Project Sharon De Leon California State University Northridge June 19, 2012- May 2013 Shawna Dark, Center of Geographical Studies, California State University
More informationTechnical Drafting, Geographic Information Systems and Computer- Based Cartography
Technical Drafting, Geographic Information Systems and Computer- Based Cartography Project-Specific and Regional Resource Mapping Services Geographic Information Systems - Spatial Analysis Terrestrial
More informationAmphibian Conservation and GIS
Allen Hamilton Dr. August/Dr. Wang 12/11/13 Amphibian Conservation and GIS Amphibian populations have been on the decline in recent years, partly due to climate change, increase in mortality and loss of
More informationUPDATING THE MINNESOTA NATIONAL WETLAND INVENTORY
UPDATING THE MINNESOTA NATIONAL WETLAND INVENTORY An Integrated Approach Using Object-Oriented Image Analysis, Human Air-Photo Interpretation and Machine Learning AARON SMITH EQUINOX ANALYTICS INC. FUNDING
More informationMapping and Modeling for Regional Planning
Mapping and Modeling for Regional Planning Carol W. Witham Sacramento Valley Chapter California Native Plant Society contributors: David Ackerly John Dittes Julie Evens Josephine Guardino Robert F. Holland
More informationGoverning Rules of Water Movement
Governing Rules of Water Movement Like all physical processes, the flow of water always occurs across some form of energy gradient from high to low e.g., a topographic (slope) gradient from high to low
More informationApplication of Remote Sensing and Global Positioning Technology for Survey and Monitoring of Plant Pests
Application of Remote Sensing and Global Positioning Technology for Survey and Monitoring of Plant Pests David Bartels, Ph.D. USDA APHIS PPQ CPHST Mission Texas Laboratory Spatial Technology and Plant
More informationThe Future of Soil Mapping using LiDAR Technology
The Future of Soil Mapping using LiDAR Technology Jessica Philippe Soil Scientist/GIS Specialist March 24, 2016 Natural Resources Conservation Service Helping People Help the Land Area 12-STJ covers parts
More informationLAB EXERCISE #4 Modeling Connectivity
LAB EXERCISE #4 Modeling Connectivity Instructor: K. McGarigal Overview: In this exercise, you will learn to appreciate the challenges of modeling connectivity and gain practical hands-on experience doing
More informationDAMAGE DETECTION OF THE 2008 SICHUAN, CHINA EARTHQUAKE FROM ALOS OPTICAL IMAGES
DAMAGE DETECTION OF THE 2008 SICHUAN, CHINA EARTHQUAKE FROM ALOS OPTICAL IMAGES Wen Liu, Fumio Yamazaki Department of Urban Environment Systems, Graduate School of Engineering, Chiba University, 1-33,
More informationChapter 1 Overview of Maps
Chapter 1 Overview of Maps In this chapter you will learn about: Key points when working with maps General types of maps Incident specific maps Map legend and symbols Map sources A map is a navigational
More informationProblems arising during the implementation of CLC2006
Problems arising during the implementation of CLC2006 George Büttner, Barbara Kosztra ETC-LUSI / FÖMI (HU) EIONET WG meeting on Land Monitoring IGN Portugal, 10-12 March 2010 Contents of presentation Present
More informationCustom Soil Resource Report Soil Map
121 3' 56'' W Custom Soil Resource Report Soil Map 121 2' 49'' W 45 16' 39'' N 5013800 5014000 5014200 5014400 5014600 5014800 5015000 5015200 5015400 5015600 651800 652000 652200 652400 652600 652800
More informationStatewide wetland geospatial inventory update
Statewide wetland geospatial inventory update Factsheet 1: Outcomes from the statewide wetland geospatial inventory update 1 Introduction In 2011 the Victorian Department of Environment and Primary Industries
More informationUrban Tree Canopy Assessment Purcellville, Virginia
GLOBAL ECOSYSTEM CENTER www.systemecology.org Urban Tree Canopy Assessment Purcellville, Virginia Table of Contents 1. Project Background 2. Project Goal 3. Assessment Procedure 4. Economic Benefits 5.
More informationWaterbury Dam Disturbance Mike Fitzgerald Devin Rowland
Waterbury Dam Disturbance Mike Fitzgerald Devin Rowland Abstract The Waterbury Dam was completed in October 1938 as a method of flood control in the Winooski Valley. The construction began in April1935
More informationUsing the Web Soil Survey Resilience and Resistance Score Sheet Soils Report
Using the Resilience and Resistance Score Sheet Soils Report 1. Go to http://websoilsurvey.nrcs.usda.gov/app/ and click on the Start WSS button. 2. Create an Area of Interest (AOI) using any of the available
More informationNational Hydrography Dataset (NHD) Update Project for US Forest Service Region 3
National Hydrography Dataset (NHD) Update Project for US Forest Service Region 3 Allison Moncada California State University, Northridge February 2017 July 2017 Advisor: Joel Osuna Center for Geographical
More information3.3 CLIMATE, GEOLOGY, TOPOGRAPHY, AND SOILS CLIMATE GEOLOGY TOPOGRAPHY
3.3 CLIMATE, GEOLOGY, TOPOGRAPHY, AND SOILS This section describes the climate, geology, topography, and soil resource characteristics of the Yolo Bypass Wildlife Area (Wildlife Area). Agricultural soil
More informationWrite a report (6-7 pages, double space) on some examples of Internet Applications. You can choose only ONE of the following application areas:
UPR 6905 Internet GIS Homework 1 Yong Hong Guo September 9, 2008 Write a report (6-7 pages, double space) on some examples of Internet Applications. You can choose only ONE of the following application
More informationGreat Lakes Update. Geospatial Technologies for Great Lakes Water Management. Volume 149 October 4, US Army Corps of Engineers Detroit District
Volume 149 October 4, 2002 US Army Corps of Engineers Detroit District Great Lakes Update Geospatial Technologies for Great Lakes Water Management The U.S. Army Corps of Engineers (USACE) serves an important
More informationAerial Photograph-Based Pavement Surface Distress Detection and Evaluation
Aerial Photograph-Based Pavement Surface Distress Detection and Evaluation César Hernández Gracia Antonio Sahuquillo Piñero AF2913-Road Construction and Maintenance Table of Contents 1. Introduction 2.
More informationAerial Photography and Imagery Resources Guide
Aerial Photography and Imagery Resources Guide Cheyenne and Laramie County Cooperative GIS Created and Maintained by the GIS Coordinator for the Cooperative GIS Program March 2011 CHEYENNE / LARAMIE COUNTY
More informationQuick Response Report #126 Hurricane Floyd Flood Mapping Integrating Landsat 7 TM Satellite Imagery and DEM Data
Quick Response Report #126 Hurricane Floyd Flood Mapping Integrating Landsat 7 TM Satellite Imagery and DEM Data Jeffrey D. Colby Yong Wang Karen Mulcahy Department of Geography East Carolina University
More informationISU GIS CENTER S ARCSDE USER'S GUIDE AND DATA CATALOG
ISU GIS CENTER S ARCSDE USER'S GUIDE AND DATA CATALOG 2 TABLE OF CONTENTS 1) INTRODUCTION TO ARCSDE............. 3 2) CONNECTING TO ARCSDE.............. 5 3) ARCSDE LAYERS...................... 9 4) LAYER
More informationGREEN GROWTH TOOLBOX. Nature-Friendly Planning. Jeff Marcus North Carolina Wildlife Resources Commission
GREEN GROWTH TOOLBOX Nature-Friendly Planning Jeff Marcus North Carolina Wildlife Resources Commission Growth in North Carolina NC is the 5 th fastest growing state 3 million people will move to NC over
More informationWisconsin River Floodplain Project: Overview and Plot Metadata
Wisconsin River Floodplain Project: Overview and Plot Metadata CLASS I. DATA SET DESCRIPTORS Data set identity: Plot-level variable information for Wisconsin River Floodplain Project. Relevant for following
More informationAerial Photography and Imagery Resources Guide
Aerial Photography and Imagery Resources Guide Cheyenne and Laramie County Cooperative GIS Created and Maintained by the GIS Coordinator for the Cooperative GIS Program May 2016 CHEYENNE / LARAMIE COUNTY
More informationGeographic Information Systems. Introduction to Data and Data Sources
Geographic Information Systems Introduction to Data and Data Sources Presented by John Showler, NJDA-SSCC NJ SCD GIS Training Session December 10, 209 The Objectives of this session are 3-fold: 1. Introduce
More informationEva Strand and Leona K. Svancara Landscape Dynamics Lab Idaho Coop. Fish and Wildlife Research Unit
More on Habitat Models Eva Strand and Leona K. Svancara Landscape Dynamics Lab Idaho Coop. Fish and Wildlife Research Unit Area of occupancy Range - spatial limits within which a species can be found Distribution
More informationScripting and Geoprocessing for Raster Analysis Multiyear Crop Analysis
Authors: David T. Hansen and Barbara Simpson Scripting and Geoprocessing for Raster Analysis Multiyear Crop Analysis Presented by David T. Hansen and Barbara Simpson at the ESRI User Conference, 2012,
More informationMcHenry County Property Search Sources of Information
Disclaimer: The information in this system may contain inaccuracies or typographical errors. The information in this system is a digital representation of information derived from original documents; as
More informationUnderstanding and Measuring Urban Expansion
VOLUME 1: AREAS AND DENSITIES 21 CHAPTER 3 Understanding and Measuring Urban Expansion THE CLASSIFICATION OF SATELLITE IMAGERY The maps of the urban extent of cities in the global sample were created using
More informationMinimum Standards for Aquatic Resource Delineations
Minimum Standards for Aquatic Resource Delineations Matt Wilson Senior Project Manager, Nevada-Utah Section Sacramento District Regulatory Program Workshop 31 May 2018 US Army Corps of Engineers Delineation
More informationWHAT MAKES A GOOD GIS LAB EXERCISE? Robert N. Martin
WHAT MAKES A GOOD GIS LAB EXERCISE? Robert N. Martin ABSTRACT Having taught GIS for over fifteen years in a lecture/laboratory format, I have developed a series of laboratory exercise that provide a good
More informationEsri Image & Mapping Forum 9 July 2017 Geiger-Mode for Conservation Planning & Design by USDA NRCS NGCE
Esri Image & Mapping Forum 9 July 2017 Geiger-Mode for Conservation Planning & Design by USDA NRCS NGCE For over 75 years, the Natural Resources Conservation Service has been a pioneer in conservation,
More informationCUYAHOGA COUNTY URBAN TREE CANOPY & LAND COVER MAPPING
CUYAHOGA COUNTY URBAN TREE CANOPY & LAND COVER MAPPING FINAL REPORT M IKE GALVIN S AVATREE D IRECTOR, CONSULTING GROUP P HONE: 914 403 8959 E MAIL: MGALVIN@SAVATREE. COM J ARLATH O NEIL DUNNE U NIVERSITY
More informationEfficiency and Detection Accuracy Using Print and Digital Stereo Aerial Photography for Remotely Mapping Vernal Pools in New England Landscapes
The University of Maine DigitalCommons@UMaine Publications Senator George J. Mitchell Center for Sustainability Solutions 6-2016 Efficiency and Detection Accuracy Using Print and Digital Stereo Aerial
More informationENGRG Introduction to GIS
ENGRG 59910 Introduction to GIS Michael Piasecki March 17, 2014 Lecture 08: Terrain Analysis Outline: Terrain Analysis Earth Surface Representation Contour TIN Mass Points Digital Elevation Models Slope
More information1.1 What is Site Fingerprinting?
Site Fingerprinting Utilizing GIS/GPS Technology 1.1 What is Site Fingerprinting? Site fingerprinting is a planning tool used to design communities where protection of natural resources is the primary
More informationAppendix 2b. NRCS Soil Survey
Appendix 2b NRCS Soil Survey 118 19' 25'' W Nonirrigated Capability Class Antelope Valley Area, California (Del Sur Solar Site) 118 17' 28'' W 378900 379200 379500 379800 380100 380400 380700 381000 381300
More informationGOVERNMENT OF NEPAL MINISTRY OF IRRIGATION GROUND WATER RESOURCES DEVELOPMENT BOARD BABARMAHAL, KATHMANDU, NEPAL
GOVERNMENT OF NEPAL MINISTRY OF IRRIGATION GROUND WATER RESOURCES DEVELOPMENT BOARD BABARMAHAL, KATHMANDU, NEPAL GIS Based Updating of Groundwater Level Siraha District Final Report Submitted to Ground
More information