Exercise 6: Using Burn Severity Data to Model Erosion Risk
|
|
- Cassandra Norris
- 6 years ago
- Views:
Transcription
1 Exercise 6: Using Burn Severity Data to Model Erosion Risk Document Updated: November 2009 Software Versions: ERDAS Imagine 9.3 and ArcGIS 9.3, Microsoft Office 2007 Introduction A common use of burn severity data immediately after a fire is to model the erosion risk on specific hillslopes. Many BAER (Burned Area Emergency Response) teams assigned to wildfires use ERMiT (Erosion Risk Management Tool) to help with the analysis. ERMiT is a web-based model that estimates erosion, in probabilistic terms, on burned and recovering forest, range, and chaparral lands with and without the application of erosion mitigation treatments (mulch, erosion-barriers, and seeding). This exercise will walk you through how to prepare the GIS inputs to use ERMiT, how to run ERMiT, and how to interpret the results. Data and Materials Needed Soil Burn Severity Map 10m DEM 6th-level Watersheds Soils Layer Major Steps I. Recode and group classes from provided GIS data II. Create Pivot Table to determine # of ERMiT runs III. Run ERMiT and summarize erosion risk IV. Interpret ERMiT results Before using the Spatial Analyst toolbar, you must first make sure the extension is turned on. In ArcMap, go to Tools Extensions to verify there is a checkmark next to Spatial Analyst. It is also wise to check the options menu in the Spatial Analyst drop-down menu; you can edit your analysis mask, working directory, extents, etc. I. Load, Study, and Manipulate Data 1. Open ArcMap (Start Programs ArcGIS ArcMap) 2. Load the following data by browsing to..\classdata\data: BuffaloCreek_SoilBS.tif Soils_LTA_alb.shp Huc6_wsheds_alb.shp Dem10m.img BuffaloCreek_Perim.shp 3. Click the Spatial Analyst drop-down menu and select Options. On the General tab, set the fire perimeter as the Analysis Mask by selecting BuffaloCreek_Perim.shp. This will clip any outputs made using Spatial Analyst to the fire perimeter. Click OK. 1
2 You will eventually be intersecting multiple layers together. It is wise to edit the attribute tables of the individual layers before the intersection for easier interpretation layer. For example, converting a raster layer to a vector polygon feature layer will often provide you a field named GRIDCODE. If you convert more than one raster layer to features and then do an intersect, you will have GRIDCODE, GRIDCODE_1, GRIDCODE_2, etc., in your attribute table. Keeping tabs on what each means is difficult without changing the names of the fields. 4. Convert Soil Burn Severity layer to vector shapefile using the Spatial analyst toolbar. Click the Spatial Analyst drop-down menu and select Convert Raster to Features 5. Input raster: BuffaloCreek_SoilBS.tif 6. Field: VALUE 7. Output geometry type: Polygon 8. UNCHECK Generalize Lines 9. Output features:..\classdata\outputs\soil_bs.shp 10. Click Ok. 11. Create new field for ease of interpretation later (see sidebar note) 12. Open the attribute table of soil_bs.shp 13. Go to Options Add Field 14. Name: BS_Code 15. Type: Short Integer 16. Right-click on the BS_Code column and go to Field Calculator 17. Press Yes when prompted with the warning 18. Double-click on GRIDCODE to add it to the window below BS_Code = 19. Press OK. This just populated BS_Code with the values from GRIDCODE. 20. Delete the GRIDCODE field. Some of your BS_Codes are zero. Select all records in the attribute table with a zero BS_Code and, using the Field Calculator, change them all to 1. These records are all artifacts from the clip, are very small polygons, and have little bearing on the overall severity of the fire. 22. Create a slope layer from the DEM 23. Click the Spatial Analyst drop-down menu and select Surface Analysis Slope Input: dem10m.img 25. Output Measurement: Percent 26. Z Factor: Output cell size: Output raster:..\classdata\outputs\slope 29. Click on Save and then OK. The output will be an ESRI GRID raster layer. Study the layer in your viewer and notice the range of values. Remember that 100% slope only equals 45 degrees. 30. Simplify the layer for future analysis by recoding the slope into 3 manageable classes: 0-35%; 35-65%, and > 65%. 31. Click on the Spatial Analyst drop-down menu and click on Reclassify 32. Input raster: slope 33. Reclass field: Leave blank 2
3 NOTE: This separation doesn t split the slope values into equal classes at all. However, we re trying to break the slope layer into more meaningful classes for management. The soils layer has already been recoded and grouped into manageable classes for you. To do this yourself, you can visit the NRCS Web Soil Survey ( websoilsurvey.nrcs.usda.gov/app/ HomePage.htm). You can zoom in to the area of your fire and investigate the soils attributes there. 34. Click on the Classify button on the right side of the window 35. Change the Jenks Natural Breaks class breaks to 3 from the default of In the Break Values list on the far right, change the middle value to 65, and the top value to 35. The 3 values you now have in this window represent the top end of the class (see graphic on left). 37. Click on OK. 38. Output raster:..\classdata\outputs\slope_rcls 39. Click Save, then OK. 40. Convert the reclassified slope layer to a vector shapefile. 41. Click on the Spatial Analyst drop-down menu and select Convert Raster to Features 42. Input raster: slope_rcls 43. Field: VALUE 44. Output geometry type: Polygon 45. UNCHECK Generalize Lines 46. Output features:..\classdata\outputs\slope_reclass.shp 47. Click Save, then OK. 48. Create a new field for ease of interpretation later (see sidebar note on previous page) 49. Open the attribute table of slope_reclass.shp 50. Go to Options Add Field 51. Name: Slope_Grp 52. Type: Short Integer 53. Right-click on the Slope_Grp column and click on Field Calculator 54. Double-click on GRIDCODE to add it to the window below Slope_Grp = 55. Press OK. This just populated Slope_Grp with the values from GRIDCODE. 56. Delete the GRIDCODE field. 57. Open the attribute tables of slope_reclass.shp, Soils_LTA_alb.shp, huc6_wsheds_alb, and soil_bs.shp 58. The key field in each of these tables is, respectively, Slope_Grp, Soil_Grp, HUC_12, and BS_CODE. Those are the fields we will eventually summarize on. II. Prepare Data for ERMiT 1. Intersect all your layers into a single output. 2. In ArcToolBox, go to Analysis Tools Overlay Intersect 3. Load each of your input (slope_reclass, Soils_LTA_alb, huc6_wsheds_alb, soil_bs) layers individually in the Input Features drop-down menu. 4. Output Feature Class:..\ClassData\Outputs\Intersect_All.shp 5. Click Save then OK 6. The order of the fields in the output shapefile attribute table are based on the order of the input features you loaded. You won t need all the fields included in the Intersect, so turn off unnecessary 3
4 When calculating geometry on polygons in shapefiles, be careful not to choose Ares as the unit type. Ares are much different than Acres. The PivotTable instructions were written based on Microsoft Office Change any integer codes to strings by typing in what the codes mean. Click on and then mouse over the integer codes to see what attribute the numbers came from. As you make changes to the table headings, Excel will apply the change across the entire PivotTable. fields. 7. Open the properties of Intersect_all.shp. 8. Click on the Fields tab 9. Turn off everything except Acres, Slope_Grp, Soil_Grp, HUC_12, and BS_CODE. 10. Calculate acres on the intersected features. 11. Open the attribute table, right-click on the Acres field and click on Calculate Geometry. 12. Click Yes on the warning box that comes up. 13. Make sure the Units: drop-down menu is on Acres (see note in sidebar) and click OK. 14. Export the attribute table by going to Options Export and save it as..\classdata\outputs\intersect_table.dbf. 15. Open Intersect_Table.dbf in Microsoft Excel. 16. With your table loaded, go to Insert PivotTable 17. Make sure the entire data set is highlighted and then click OK. 18. From the PivotTable Field list, click and drag BS_Code to the Row Labels box in the bottom right of the screen. Repeat for Slope_Grp and Soil_Grp. The order you add the fields doesn t really matter. 19. Click and drag Acres to the Values box. 20. You should now see the unique combinations of the variables summarized by acres. Edit the values in the heading of each group in the Pivot Table to accurately reflect what the values actually are (see sidebar graphic). 21. The far-left level of data in your PivotTable will be from whatever field is listed first in the Row Labels box in the bottom right. For the BS_CODE row labels, change the numerical values to textual: 1 = Unburned / Very Low 2 = Low 3 = Moderate 4 = High 22. For Slope_Grp, change them to 1 = < 35% Slope 2 = 35-65% Slope 3 = > 65% Slope 23. Right-click on the Sum of Acres field and format to type Number with 0 decimal places. This will help you quickly spot features that cover a significant amount of acres. 24. Explore display and formatting options within PivotTables. Save the file as an Excel spreadsheet (*.xls/*.xlsx). 25. Look over the data to find groupings that may raise red flags 26. Note two groups with significant acres that represent roughly 50% of the land within the perimeter: 27. Moderate Soil BS, <35% Slope, Sandy Loam 20% Rock 4
5 You don t need to make ERMiT runs on Unburned or Low severity polygons since there won t be significant fire-caused increases in run-off potential. Focus on the Moderate and High severity classes. Adding the HUCs won t help with any ERMiT runs, but it is useful for reporting purposes. You can easily add your HUCs field into the Pivot Table to see acres of severity by HUC. We will not use it for the rest of this exercise. 28. Moderate Soil BS, <35% Slope, Sandy Loam 40% Rock 29. You will want to focus your modeling on these two areas since they represent so much of the burn scar. We will make an ERMiT run based on the first of these two groups. III. Make ERMiT Runs 1. Open an Internet browser and navigate to ermit/ermit.pl You ll notice there are 6 input boxes: Climate, Soil Texture, Vegetation Type, Hillslope Gradient, Hillslope Horizontal Length, and Soil Burn Severity. Some of the values come from the intersection you just did, but others will have to be interpolated. 2. Under Climate, chose Custom Climate Choose Colorado Click on SHOW ME THE CLIMATES. 3. CHEESMAN CO is the most similar climate to Buffalo Creek, so click on it and choose ADD TO PER- SONAL CLIMATES. 4. Click on Return to Input Screen and you ll notice CHEESMAN CO is the first climate shown in your list. 5. Choose sandy loam and 20% rock content for your soil texture variables. 6. Choose Forest for your Vegetation type variable since nearly the entire fire was evergreen forest. Had there been more heterogeneity in the vegetation cover, we would include that in our intersection and Pivot Table and therefore ERMiT considerations. 7. Hillslope gradient is best described by the graphic at the left. Choose 0% for top (indicating the slope starts at the top of the hill); 35% for the middle; 35% for toe. We know all polygons in this groupings have a slope of 35% or less so choosing the max value for the middle gradient here is the safe option. Some toe slopes become more gentle at the bottom of the hill; however, others become more steep. Local knowledge and observations in the field are crucial to determine appropriate toe slopes. For this exercise we will use 35%, the same as the middle slope. 8. Hillslope horizontal length (also known as LS Factor) is often calculated by measuring the lengths of slopes on a topographic map and field observations. Rely on local knowledge for this value. For the purposes of this exercise, use 600 as your hillslope horizontal length. 9. Choose Moderate as the Soil Burn Severity. 10. Click on Run ERMiT and observe the outputs. IV. Interpret ERMiT Results 1. Note the Sediment Delivery Exceedance Probability graph. These lines graph the probability of exceeding a certain level of sediment delivery (runoff) by year after fire. For example, in year 2 after wildfire, ERMiT is predicting about a 20% chance the polygons we selected will produce 5 tons/acre of sediment delivery to the bottom of the hillslope. 5
6 Fifth year expected runoff values roughly equal pre-fire condition. When comparing ERMiT results, compare annual expected runoff rates to 5th-year results (pre-fire). For example: Year 1 Untreated polygons with attributes found in Part II Step 27 when run through ERMiT expect tons/acre of sediment delivery. When compared to pre-fire expected delivery (1.13 tons/acre), you can compute an expected increase in sediment delivery of 823%! When mapping results spatially, however, you may want to focus on thematic values rather than numerical. Report on Significant or Moderate, and etc., changes in sediment delivery. NOTE: This graph assumes the polygons had no erosion mitigation treatments applied (such as seeding, mulching, log erosion barriers, etc.) 2. Note the Mitigation Treatment Comparisons table. This allows you to compare the various treatment options and the expected results given the geography of the polygons and climate. For example, you learn that untreated hillslopes and seeded hillslopes in this case will give you exactly the same sediment delivery response in the first year. However, mulching the same hillslopes will drop your expected sediment delivery from over 10 tons/acre to a little more than 3 tons/acres in the first year. 3. You can change the Probability that sediment yield will be exceeded value to whatever you want and recompute the expected sediment delivery by hillslope treatment. 4. Don t focus so much on the actual tons/acre the model suggests; rather, focus on proportional changes when comparing pre- to post-fire condition. See sidebar note. Conclusion 1. You can repeat the same process for other groups from your PivotTable. You ve only considered one grouping. 2. For more information on ERMiT or WEPP, visit 3. This is the end of the exercise. 6
The Geodatabase Working with Spatial Analyst. Calculating Elevation and Slope Values for Forested Roads, Streams, and Stands.
GIS LAB 7 The Geodatabase Working with Spatial Analyst. Calculating Elevation and Slope Values for Forested Roads, Streams, and Stands. This lab will ask you to work with the Spatial Analyst extension.
More informationHow to Create Stream Networks using DEM and TauDEM
How to Create Stream Networks using DEM and TauDEM Take note: These procedures do not describe all steps. Knowledge of ArcGIS, DEMs, and TauDEM is required. TauDEM software ( http://hydrology.neng.usu.edu/taudem/
More informationGreat Lakes Online Watershed Interface W. Elliot, Research Engineer USDA Forest Service Rocky Mountain Research Station, Moscow, ID March, 2016
Great Lakes Online Watershed Interface W. Elliot, Research Engineer USDA Forest Service Rocky Mountain Research Station, Moscow, ID March, 2016 Guidelines for using the Web WEPP Watershed Tool to Support
More informationTutorial 8 Raster Data Analysis
Objectives Tutorial 8 Raster Data Analysis This tutorial is designed to introduce you to a basic set of raster-based analyses including: 1. Displaying Digital Elevation Model (DEM) 2. Slope calculations
More informationTask 1: Open ArcMap and activate the Spatial Analyst extension.
Exercise 10 Spatial Analyst The following steps describe the general process that you will follow to complete the exercise. Specific steps will be provided later in the step-by-step instructions component
More informationWORKING WITH DMTI DIGITAL ELEVATION MODELS (DEM)
WORKING WITH DMTI DIGITAL ELEVATION MODELS (DEM) Contents (Ctrl-Click to jump to a specific page) Manipulating the DEM Step 1: Finding the DEM Tiles You Need... 2 Step 2: Importing the DEM Tiles into ArcMap...
More informationW. Elliot, PE, PhD USDA Forest Service, Rocky Mountain Research Station Moscow, Idaho Version: April, 2017 WEPP PEP The Water Erosion Prediction Project (WEPP) Post Fire Erosion Predictor (PEP) is an online
More informationUsing the Stock Hydrology Tools in ArcGIS
Using the Stock Hydrology Tools in ArcGIS This lab exercise contains a homework assignment, detailed at the bottom, which is due Wednesday, October 6th. Several hydrology tools are part of the basic ArcGIS
More informationLab 7: Cell, Neighborhood, and Zonal Statistics
Lab 7: Cell, Neighborhood, and Zonal Statistics Exercise 1: Use the Cell Statistics function to detect change In this exercise, you will use the Spatial Analyst Cell Statistics function to compare the
More informationCreating Watersheds from a DEM
Creating Watersheds from a DEM These instructions enable you to create watersheds of specified area using a good quality Digital Elevation Model (DEM) in ArcGIS 8.1. The modeling is performed in ArcMap
More informationExercise 6: Working with Raster Data in ArcGIS 9.3
Exercise 6: Working with Raster Data in ArcGIS 9.3 Why Spatial Analyst? Grid query Grid algebra Grid statistics Summary by zone Proximity mapping Reclassification Histograms Surface analysis Slope, aspect,
More informationExercise 2: Working with Vector Data in ArcGIS 9.3
Exercise 2: Working with Vector Data in ArcGIS 9.3 There are several tools in ArcGIS 9.3 used for GIS operations on vector data. In this exercise we will use: Analysis Tools in ArcToolbox Overlay Analysis
More informationGIS IN ECOLOGY: ANALYZING RASTER DATA
GIS IN ECOLOGY: ANALYZING RASTER DATA Contents Introduction... 2 Raster Tools and Functionality... 2 Data Sources... 3 Tasks... 4 Getting Started... 4 Creating Raster Data... 5 Statistics... 8 Surface
More informationEXERCISE 12: IMPORTING LIDAR DATA INTO ARCGIS AND USING SPATIAL ANALYST TO MODEL FOREST STRUCTURE
EXERCISE 12: IMPORTING LIDAR DATA INTO ARCGIS AND USING SPATIAL ANALYST TO MODEL FOREST STRUCTURE Document Updated: December, 2007 Introduction This exercise is designed to provide you with possible silvicultural
More informationOverlay Analysis II: Using Zonal and Extract Tools to Transfer Raster Values in ArcMap
Overlay Analysis II: Using Zonal and Extract Tools to Transfer Raster Values in ArcMap Created by Patrick Florance and Jonathan Gale, Edited by Catherine Ressijac on March 26, 2018 If you have raster data
More informationGeoWEPP Tutorial Appendix
GeoWEPP Tutorial Appendix Chris S. Renschler University at Buffalo - The State University of New York Department of Geography, 116 Wilkeson Quad Buffalo, New York 14261, USA Prepared for use at the WEPP/GeoWEPP
More informationThe data for this lab comes from McDonald Forest. We will be working with spatial data representing the forest boundary, streams, roads, and stands.
GIS LAB 6 Using the Projection Utility. Converting Data to Oregon s Approved Lambert Projection. Determining Stand Size, Stand Types, Road Length, and Stream Length. This lab will ask you to work with
More informationIn this exercise we will learn how to use the analysis tools in ArcGIS with vector and raster data to further examine potential building sites.
GIS Level 2 In the Introduction to GIS workshop we filtered data and visually examined it to determine where to potentially build a new mixed use facility. In order to get a low interest loan, the building
More informationLearning Unit Student Guide. Title: Estimating Areas of Suitable Grazing Land Using GPS, GIS, and Remote Sensing
Learning Unit Student Guide Name of Creator: Jeff Sun Institution: Casper College Email: jsun@caspercollege.edu Phone: Office (307) 268-3560 Cell (307) 277-9766 Title: Estimating Areas of Suitable Grazing
More informationOutline Anatomy of ArcGIS Metadata Data Types Vector Raster Conversion Adding Data Navigation Symbolization Methods Layer Files Editing Help Files
UPlan Training Lab Exercise: Introduction to ArcGIS Outline Anatomy of ArcGIS Metadata Data Types Vector Raster Conversion Adding Data Navigation Symbolization Methods Layer Files Editing Help Files Anatomy
More informationData Structures & Database Queries in GIS
Data Structures & Database Queries in GIS Objective In this lab we will show you how to use ArcGIS for analysis of digital elevation models (DEM s), in relationship to Rocky Mountain bighorn sheep (Ovis
More informationGEOG 487 Lesson 7: Step-by-Step Activity
GEOG 487 Lesson 7: Step-by-Step Activity Part I: Review the Relevant Data Layers and Organize the Map Document In Part I, we will review the data and organize the map document for analysis. 1. Unzip the
More informationWMS 9.0 Tutorial GSSHA Modeling Basics Infiltration Learn how to add infiltration to your GSSHA model
v. 9.0 WMS 9.0 Tutorial GSSHA Modeling Basics Infiltration Learn how to add infiltration to your GSSHA model Objectives This workshop builds on the model developed in the previous workshop and shows you
More informationSpatial Analyst: Multiple Criteria Evaluation Material adapted from FOR 4114 developed by Forestry Associate Professor Steve Prisley
Spatial Analyst: Multiple Criteria Evaluation Material adapted from FOR 4114 developed by Forestry Associate Professor Steve Prisley Section 1: Data In this exercise we will be working with several types
More informationUsing WEPP Technology to Predict Erosion and Runoff Following Wildfire
An ASABE Meeting Presentation Paper Number: 068011 Using WEPP Technology to Predict Erosion and Runoff Following Wildfire William J. Elliot, PE, PhD, Project Leader (welliot@fs.fed.us) Ina Sue Miller,
More informationWorking with Digital Elevation Models in ArcGIS 8.3
Working with Digital Elevation Models in ArcGIS 8.3 The homework that you need to turn in is found at the end of this document. This lab continues your introduction to using the Spatial Analyst Extension
More informationRaster Analysis: An Example
Raster Analysis: An Example Fires (1 or 4) Slope (1-4) + Geology (1-4) Erosion Ranking (3-12) 1 Typical Raster Model Types: Suitability Modeling: Where is optimum location? Distance Modeling: What is the
More informationGIS Workshop UCLS_Fall Forum 2014 Sowmya Selvarajan, PhD TABLE OF CONTENTS
TABLE OF CONTENTS TITLE PAGE NO. 1. ArcGIS Basics I 2 a. Open and Save a Map Document 2 b. Work with Map Layers 2 c. Navigate in a Map Document 4 d. Measure Distances 4 2. ArcGIS Basics II 5 a. Work with
More informationWatershed Application of WEPP and Geospatial Interfaces. Dennis C. Flanagan
Watershed Application of WEPP and Geospatial Interfaces Dennis C. Flanagan Research Agricultural Engineer USDA-Agricultural Research Service Adjunct Professor Purdue Univ., Dept. of Agric. & Biol. Eng.
More informationCreating Watersheds from a DEM in ArcGIS 9.x
Creating Watersheds from a DEM in ArcGIS 9.x These instructions enable you to create watersheds (a.k.a. catchments or basins) using a good quality Digital Elevation Model (DEM) in ArcGIS 9.1. The modeling
More information(THIS IS AN OPTIONAL BUT WORTHWHILE EXERCISE)
PART 2: Analysis in ArcGIS (THIS IS AN OPTIONAL BUT WORTHWHILE EXERCISE) Step 1: Start ArcCatalog and open a geodatabase If you have a shortcut icon for ArcCatalog on your desktop, double-click it to start
More informationDelineation of Watersheds
Delineation of Watersheds Adirondack Park, New York by Introduction Problem Watershed boundaries are increasingly being used in land and water management, separating the direction of water flow such that
More informationGIS IN ECOLOGY: ANALYZING RASTER DATA
GIS IN ECOLOGY: ANALYZING RASTER DATA Contents Introduction... 2 Tools and Functionality for Raster Data... 2 Data Sources... 3 Tasks... 4 Getting Started... 4 Creating Raster Data... 5 Summary Statistics...
More informationAutomatic Watershed Delineation using ArcSWAT/Arc GIS
Automatic Watershed Delineation using ArcSWAT/Arc GIS By: - Endager G. and Yalelet.F 1. Watershed Delineation This tool allows the user to delineate sub watersheds based on an automatic procedure using
More informationUsing a GIS to Calculate Area of Occupancy. Part 1: Creating a Shapefile Grid
Using a GIS to Calculate Area of Occupancy Part 1: Creating a Shapefile Grid By Ryan Elliott California Natural Diversity Database, A NatureServe network program December 2008 This document describes the
More informationRaster Analysis; A Yellowstone Example 3/29/2018
Fires (1 or 4) Typical Raster Model Types: Raster Analysis: An Example Suitability Modeling: Where is optimum location? Distance Modeling: What is the most efficient path from A to B? + Slope (1-4) Geology
More informationWatershed Modeling Orange County Hydrology Using GIS Data
v. 10.0 WMS 10.0 Tutorial Watershed Modeling Orange County Hydrology Using GIS Data Learn how to delineate sub-basins and compute soil losses for Orange County (California) hydrologic modeling Objectives
More informationRaster Analysis; A Yellowstone Example 10/24/2013. M. Helper GEO327G/386G, UT Austin 2. M. Helper GEO327G/386G, UT Austin 4
+ Fires (1 or 4) Slope (1-4) Geology (1-4) Erosion Ranking (3-12) Raster Analysis: An Example Typical Raster Model Types: Suitability Modeling: Where is optimum location? Distance Modeling: What is the
More informationDownloading GPS Waypoints
Downloading Data with DNR- GPS & Importing to ArcMap and Google Earth Written by Patrick Florance & Carolyn Talmadge, updated on 4/10/17 DOWNLOADING GPS WAYPOINTS... 1 VIEWING YOUR POINTS IN GOOGLE EARTH...
More informationSIE 509 Principles of GIS Exercise 5 An Introduction to Spatial Analysis
SIE 509 Principles of GIS Exercise 5 An Introduction to Spatial Analysis Due: Oct. 31, 2017 Total Points: 50 Introduction: The Governor of Maine is asking communities to look at regionalization for major
More informationRaster Analysis: An Example
Raster Analysis: An Example Fires (1 or 4) Slope (1-4) + Geology (1-4) Erosion Ranking (3-12) 11/8/2016 GEO327G/386G, UT Austin 1 Typical Raster Model Types: Suitability Modeling: Where is optimum location?
More informationLearning ArcGIS: Introduction to ArcCatalog 10.1
Learning ArcGIS: Introduction to ArcCatalog 10.1 Estimated Time: 1 Hour Information systems help us to manage what we know by making it easier to organize, access, manipulate, and apply knowledge to the
More informationExercise 4 Estimating the effects of sea level rise on coastlines by reclassification
Exercise 4 Estimating the effects of sea level rise on coastlines by reclassification Due: Thursday February 1; at the start of class Goal: Get familiar with symbolizing and making time-series maps of
More informationWorking with ArcGIS: Classification
Working with ArcGIS: Classification 2 Abbreviations D-click R-click TOC Double Click Right Click Table of Content Introduction The benefit from the use of geographic information system (GIS) software is
More informationHandling Raster Data for Hydrologic Applications
Handling Raster Data for Hydrologic Applications Prepared by Venkatesh Merwade Lyles School of Civil Engineering, Purdue University vmerwade@purdue.edu January 2018 Objective The objective of this exercise
More informationWithin this document, the term NHDPlus is used when referring to NHDPlus Version 2.1 (unless otherwise noted).
Exercise 7 Watershed Delineation Using ArcGIS Spatial Analyst Last Updated 4/6/2017 Within this document, the term NHDPlus is used when referring to NHDPlus Version 2.1 (unless otherwise noted). There
More informationLand Cover Data Processing Land cover data source Description and documentation Download Use Use
Land Cover Data Processing This document provides a step by step procedure on how to build the land cover data required by EnSim. The steps provided here my be long and there may be short cuts (like using
More information2G1/3G4 GIS TUTORIAL >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>
> University of Michigan >Taubman College of Architecture > ARCH 552, Perimeter @ Work Out [T]here, Fall 2009 >September 24, 2009 2G1/3G4 GIS TUTORIAL >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>
More informationWatershed Delineation
Watershed Delineation Jessica L. Watkins, University of Georgia 2 April 2009 Updated by KC Love February 25, 2011 PURPOSE For this project, I delineated watersheds for the Coweeta synoptic sampling area
More informationErosion Risk Management Tool (ERMiT) User Manual
United States Department of Agriculture Forest Service Rocky Mountain Research Station General Technical Report RMRS-GTR-188 April 2007 Erosion Risk Management Tool (ERMiT) User Manual (version 2006.01.18)
More informationv Prerequisite Tutorials GSSHA WMS Basics Watershed Delineation using DEMs and 2D Grid Generation Time minutes
v. 10.1 WMS 10.1 Tutorial GSSHA WMS Basics Creating Feature Objects and Mapping Attributes to the 2D Grid Populate hydrologic parameters in a GSSHA model using land use and soil data Objectives This tutorial
More informationDEMs Downloading and projecting and using Digital Elevation Models (DEM)
DEMs Downloading and projecting and using Digital Elevation Models (DEM) Introduction In this exercise, you will work with Digital Elevation Models (DEM). You will download a DEM in geographic coordinates
More informationExercie 5 Preparing GIS data for simulation with FARSITE REM407 GIS Applications in Fire Ecology and Management
Exercie 5 Preparing GIS data for simulation with FARSITE REM407 GIS Applications in Fire Ecology and Management Assignment: Make maps of the Fuelmodel layer and the clipped Canopy cover layer and submit
More informationDelineation of high landslide risk areas as a result of land cover, slope, and geology in San Mateo County, California
Delineation of high landslide risk areas as a result of land cover, slope, and geology in San Mateo County, California Introduction Problem Overview This project attempts to delineate the high-risk areas
More informationmodule, with the exception that the vials are larger and you only use one initial population size.
Population Dynamics and Space Availability (http://web.as.uky.edu/biology/faculty/cooper/population%20dynamics%20examples%2 0with%20fruit%20flies/TheAmericanBiologyTeacher- PopulationDynamicsWebpage.html
More informationExercise 5e: Estimating the impact of sea level rise in coastal areas of the United States and comparing to the impact in coastal Asia
Exercise 5e: Estimating the impact of sea level rise in coastal areas of the United States and comparing to the impact in coastal Asia Data sets (downloaded in previous homework from the National Geophysical
More informationSpatial Data Analysis in Archaeology Anthropology 589b. Kriging Artifact Density Surfaces in ArcGIS
Spatial Data Analysis in Archaeology Anthropology 589b Fraser D. Neiman University of Virginia 2.19.07 Spring 2007 Kriging Artifact Density Surfaces in ArcGIS 1. The ingredients. -A data file -- in.dbf
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 informationMidterm Exam : Answer
Midterm Exam : Answer Create a double-spaced document with answers to the questions below. File Name: LASTNAME_Midterm.pdf Make sure to include your Name, UWNetID, course number, quarter and year, and
More informationTask 1: Start ArcMap and add the county boundary data from your downloaded dataset to the data frame.
Exercise 6 Coordinate Systems and Map Projections The following steps describe the general process that you will follow to complete the exercise. Specific steps will be provided later in the step-by-step
More information11. Kriging. ACE 492 SA - Spatial Analysis Fall 2003
11. Kriging ACE 492 SA - Spatial Analysis Fall 2003 c 2003 by Luc Anselin, All Rights Reserved 1 Objectives The goal of this lab is to further familiarize yourself with ESRI s Geostatistical Analyst, extending
More informationExercise 2: Working with Vector Data in ArcGIS 9.3
Exercise 2: Working with Vector Data in ArcGIS 9.3 There are several tools in ArcGIS 9.3 used for GIS operations on vector data. In this exercise we will use: Analysis Tools in ArcToolbox Overlay Analysis
More informationOutcrop suitability analysis of blueschists within the Dry Lakes region of the Condrey Mountain Window, North-central Klamaths, Northern California
Outcrop suitability analysis of blueschists within the Dry Lakes region of the Condrey Mountain Window, North-central Klamaths, Northern California (1) Introduction: This project proposes to assess the
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 informationHow do I do that in Quantum GIS: illustrating classic GIS tasks Edited by: Arthur J. Lembo, Jr.; Salisbury University
How do I do that in Quantum GIS: illustrating classic GIS tasks Edited by: Arthur J. Lembo, Jr.; Salisbury University How do I do that in Quantum GIS Page 1 Introduction from the editor:... 4 Database
More informationLesson Plan 2 - Middle and High School Land Use and Land Cover Introduction. Understanding Land Use and Land Cover using Google Earth
Understanding Land Use and Land Cover using Google Earth Image an image is a representation of reality. It can be a sketch, a painting, a photograph, or some other graphic representation such as satellite
More informationExercise 3: GIS data on the World Wide Web
Exercise 3: GIS data on the World Wide Web These web sites are a few examples of sites that are serving free GIS data. Many other sites exist. Search in Google or other search engine to find GIS data for
More informationGlobal Atmospheric Circulation Patterns Analyzing TRMM data Background Objectives: Overview of Tasks must read Turn in Step 1.
Global Atmospheric Circulation Patterns Analyzing TRMM data Eugenio Arima arima@hws.edu Hobart and William Smith Colleges Department of Environmental Studies Background: Have you ever wondered why rainforests
More informationIntroduction to Coastal GIS
Introduction to Coastal GIS Event was held on Tues, 1/8/13 - Thurs, 1/10/13 Time: 9:00 am to 5:00 pm Location: Roger Williams University, Bristol, RI Audience: The intended audiences for this course are
More informationMap My Property User Guide
Map My Property User Guide Map My Property Table of Contents About Map My Property... 2 Accessing Map My Property... 2 Links... 3 Navigating the Map... 3 Navigating to a Specific Location... 3 Zooming
More informationWatershed Analysis of the Blue Ridge Mountains in Northwestern Virginia
Watershed Analysis of the Blue Ridge Mountains in Northwestern Virginia Mason Fredericks December 6, 2018 Purpose The Blue Ridge Mountain range is one of the most popular mountain ranges in the United
More informationCE 365K Exercise 1: GIS Basemap for Design Project Spring 2014 Hydraulic Engineering Design
CE 365K Exercise 1: GIS Basemap for Design Project Spring 2014 Hydraulic Engineering Design The purpose of this exercise is for you to construct a basemap in ArcGIS for your design project. You may execute
More informationWorking with Digital Elevation Models and Digital Terrain Models in ArcMap 9
Working with Digital Elevation Models and Digital Terrain Models in ArcMap 9 1 TABLE OF CONTENTS INTRODUCTION...3 WORKING WITH DIGITAL TERRAIN MODEL (DTM) DATA FROM NRVIS, CITY OF KITCHENER, AND CITY OF
More informationA probabilistic approach to modeling postfire erosion after the 2009 Australian bushfires
18 th World IMACS / MODSIM Congress, Cairns, Australia 13-17 July 2009 http://mssanz.org.au/modsim09 A probabilistic approach to modeling postfire erosion after the 2009 Australian bushfires P.R. Robichaud
More informationCourse overview. Grading and Evaluation. Final project. Where and When? Welcome to REM402 Applied Spatial Analysis in Natural Resources.
Welcome to REM402 Applied Spatial Analysis in Natural Resources Eva Strand, University of Idaho Map of the Pacific Northwest from http://www.or.blm.gov/gis/ Where and When? Lectures Monday & Wednesday
More informationSPATIAL MODELING GIS Analysis Winter 2016
SPATIAL MODELING GIS Analysis Winter 2016 Spatial Models Spatial Modeling attempts to represent how the world works All models are wrong, but some are useful (G.E. Box, quoted in course textbook pg. 379)
More informationGeo 327G Semester Project. Landslide Suitability Assessment of Olympic National Park, WA. Fall Shane Lewis
Geo 327G Semester Project Landslide Suitability Assessment of Olympic National Park, WA Fall 2011 Shane Lewis 1 I. Problem Landslides cause millions of dollars of damage nationally every year, and are
More informationEnvironmental Systems Research Institute
Introduction to ArcGIS ESRI Environmental Systems Research Institute Redlands, California 2 ESRI GIS Development Arc/Info (coverage model) Versions 1-7 from 1980 1999 Arc Macro Language (AML) ArcView (shapefile
More informationlet s examine pupation rates. With the conclusion of that data collection, we will go on to explore the rate at which new adults appear, a process
Population Dynamics and Initial Population Size (Module website: http://web.as.uky.edu/biology/faculty/cooper/population%20dynamics%20examples%20 with%20fruit%20flies/theamericanbiologyteacher-populationdynamicswebpage.html
More informationUtilizing Data from American FactFinder with TIGER/Line Shapefiles in ArcGIS
Utilizing Data from American FactFinder with TIGER/Line Shapefiles in ArcGIS Web Adams, GISP Data Dissemination Specialist U.S. Census Bureau New York Regional Office 1 What We Do Decennial Census Every
More informationv WMS Tutorials GIS Module Importing, displaying, and converting shapefiles Required Components Time minutes
v. 11.0 WMS 11.0 Tutorial Importing, displaying, and converting shapefiles Objectives This tutorial demonstrates how to import GIS data, visualize it, and convert it into WMS coverage data that could be
More informationLab 2: Projecting Geographic Data
Lab 2: Projecting Geographic Data What you ll Learn: Basic methods for map projections in ArcMap. What You ll Produce: A map of Minnesota in three different statewide projections, a map of reprojected
More informationDisplaying and Rotating WindNinja-Derived Wind Vectors in ArcMap 10.5
Displaying and Rotating WindNinja-Derived Wind Vectors in ArcMap 10.5 Chuck McHugh RMRS, Fire Sciences Lab, Missoula, MT, 406-829-6953, cmchugh@fs.fed.us 08/01/2018 Displaying WindNinja-generated gridded
More informationLecture 2. Introduction to ESRI s ArcGIS Desktop and ArcMap
Lecture 2 Introduction to ESRI s ArcGIS Desktop and ArcMap Outline ESRI What is ArcGIS? ArcGIS Desktop ArcMap Overview Views Layers Attribute Tables Help! Scale Tips and Tricks ESRI Environmental Systems
More informationMERGING (MERGE / MOSAIC) GEOSPATIAL DATA
This help guide describes how to merge two or more feature classes (vector) or rasters into one single feature class or raster dataset. The Merge Tool The Merge Tool combines input features from input
More informationST-Links. SpatialKit. Version 3.0.x. For ArcMap. ArcMap Extension for Directly Connecting to Spatial Databases. ST-Links Corporation.
ST-Links SpatialKit For ArcMap Version 3.0.x ArcMap Extension for Directly Connecting to Spatial Databases ST-Links Corporation www.st-links.com 2012 Contents Introduction... 3 Installation... 3 Database
More informationCLASSIFIY ROCKS THAT ARE SHARED BETWEEN TWO OR MORE GLACIERS AS "NODATA"
CLASSIFIY ROCKS THAT ARE SHARED BETWEEN TWO OR MORE GLACIERS AS "NODATA" Method created by Adina Racoviteanu, 2007-09-05 Contact info: Department of Geography and INSTAAR/NSIDC, University of Colorado
More informationINTRODUCTION TO GIS. Practicals Guide. Chinhoyi University of Technology
INTRODUCTION TO GIS Practicals Guide Chinhoyi University of Technology Lab 1: Basic Visualisation You have been requested to make a map of Zimbabwe showing the international boundary and provinces. The
More informationGetting Started. Start ArcMap by opening up a new map.
Start ArcMap by opening up a new map. Getting Started We now need to set up ArcMap to do some analysis using the Spatial Analyst extension. You will need to activate the Spatial Analyst extension by selecting
More informationLecture 2. A Review: Geographic Information Systems & ArcGIS Basics
Lecture 2 A Review: Geographic Information Systems & ArcGIS Basics GIS Overview Types of Maps Symbolization & Classification Map Elements GIS Data Models Coordinate Systems and Projections Scale Geodatabases
More informationGeospatial Fire Behavior Modeling App to Manage Wildfire Risk Online. Kenyatta BaRaKa Jackson US Forest Service - Consultant
Geospatial Fire Behavior Modeling App to Manage Wildfire Risk Online Kenyatta BaRaKa Jackson US Forest Service - Consultant Fire Behavior Modeling and Forest Fuel Management Modeling Fire Behavior is an
More informationTutorial using the 2011 Statistics Canada boundary files and the Householder survey
Tutorial using the 2011 Statistics Canada boundary files and the Householder survey In this tutorial, we ll try to determine the wards that contain the highest income groups. To do this, we will have to
More informationIntroduction. Project Summary In 2014 multiple local Otsego county agencies, Otsego County Soil and Water
Introduction Project Summary In 2014 multiple local Otsego county agencies, Otsego County Soil and Water Conservation District (SWCD), the Otsego County Planning Department (OPD), and the Otsego County
More informationWindNinja Tutorial 3: Point Initialization
WindNinja Tutorial 3: Point Initialization 6/27/2018 Introduction Welcome to WindNinja Tutorial 3: Point Initialization. This tutorial will step you through the process of downloading weather station data
More informationDetermining the Location of the Simav Fault
Lindsey German May 3, 2012 Determining the Location of the Simav Fault 1. Introduction and Problem Formulation: The issue I will be focusing on involves interpreting the location of the Simav fault in
More informationStudying Topography, Orographic Rainfall, and Ecosystems (STORE)
Studying Topography, Orographic Rainfall, and Ecosystems (STORE) Introduction Basic Lesson 3: Using Microsoft Excel to Analyze Weather Data: Topography and Temperature This lesson uses NCDC data to compare
More informationExercise 4. Watershed and Stream Network Delineation
Exercise 4. Watershed and Stream Network Delineation GIS in Water Resources, Fall 2015 Prepared by David G Tarboton and David R. Maidment Purpose The purpose of this exercise is to illustrate watershed
More informationPart 1: GIS Data from the Web: Downloading and Projecting Digital Elevation Models (DEM) and BTS Road data
Field Geology I Hometown GIS, Part 1 October 03, 2005 Lab Exercise 2.1 Part 1: GIS Data from the Web: Downloading and Projecting Digital Elevation Models (DEM) and BTS Road data 1. Introduction a. GIS
More informationHow might you use visibility to map an ancient civilization's political landscape?
Analyzing Ancient Political Power and Urbanization Patterns by Introduction Problem How might you use visibility to map an ancient civilization's political landscape? The Yoruba civilization, one of the
More informationHow to Model Stream Temperature Using ArcMap
How to Model Stream Temperature Using ArcMap Take note: Assumption before proceeding: A temperature point file has been attributed with TauDEM variables. There are three processes described in this document.
More information