Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Watershed Delineation Using ArcMap

4,797 views

Published on

This is a tutorial on how to do watershed delineation using ArcMap 10.3. It is an open education resource. Please let me know if you find it useful or see something that could be improved. Feel free to use it for teaching Geographic Information Science.

Published in: Education
  • Be the first to comment

Watershed Delineation Using ArcMap

  1. 1. Watershed Delineation March 2016 Dr. Arthur ‘Gill’ Green arthur.green@mail.mcgill.ca
  2. 2. What is This? Watershed Delineation by Arthur Gill Green is licensed under a Creative Commons Attribution- ShareAlike 4.0 International License. Based on a work at http://greengeographer.com/. • An open training module for learning Geographic Information Science as applied to watershed delineation. • It was developed for students at UBC. • It uses data from the USGS (SRTM) and software from ESRI (ArcMap 10.3).
  3. 3. Why Do This Training? It’s free and you will learn how to: • Get SRTM 1 Arc-Second (30 meter resolution) for free to make Digital Elevation Models (DEM). • Merge raster grids into mosaics. • Derive streams, stream orders, basins, and specific watersheds from the data. • Convert raster grids into vector features. • Calculate area and length. • Create and analyze evidence for responding to geographic questions.
  4. 4. Research Question While working in Cameroon on a transboundary international conservation area near Tchabal Mbabo, we wondered…
  5. 5. Does the Faro River basin cross the international border between Cameroon and Nigeria? If it does, this is one reason to explore setting up a transboundary international conservation area or international watershed co-management plan.
  6. 6. Where are Tchabal Mbabo & the Faro River? • This photo is from the Tchabal Mbabo cliffs looking down into the Faro River basin. • This is a remote region, located in the west of the Adamaoua Province of Cameroon. Livelihoods are based around herding. • The rapid drop of the cliffs provide many microclimates and are home to rare Afromontane and Sudano-Guinean flora and fauna. For example, Prunus africana is one rare species here. Click below to see the region on OSM.
  7. 7. What You Need • Software: ArcMap 10.3. • A license to use Spatial Analyst. • Access to the internet. • 3-4 hours (depending on the size of the data you download and your computer’s processing abilities it could be even longer – so choose a small area).
  8. 8. Outline 1. Get Data 2. Set Work Environment 3. Mosaic Rasters (put them together) 4. Find Sinks and Fill Sinks (create a depressionless DEM) 5. Flow Direction 6. Flow Accumulation 7. Basins and Watersheds 8. Stream Network 9. Converting to Polygons and Cleaning Up 10. Comparing Basin to Watersheds 11. Answering the Research Question
  9. 9. 1. Get Data
  10. 10. Get Data • We will use SRTM (Shuttle Radar Topographic Mission) 1 Arc-Second Global elevation data (~30 meter resolution) from the USGS and NASA. Collected Feb. 2000. • Get an account at: http://earthexplorer.usgs.gov/ • I use data from the border of Cameroon and Nigeria to look at where the Faro River is located. https://en.wikipedia.org/wiki/Faro_River • You can select your own region. Make sure to only take 1-2 SRTM image areas or your computer may take a very long time to process the data. Source: http://www2.jpl.nasa.gov/srtm/mis sion.htm
  11. 11. • This is the http://earthexplorer.usgs.gov/ interface. • Sign up for a free account. • Once you have a free account, you can search for data from any part of the world or manually outline your area of interest (AOI).
  12. 12. • I manually outlined my area of interest using the above points. • Once you have outlined your area of interest, you can move on to searching the types of data available. We are going to search for SRTM.
  13. 13. • After outlining your area of interest (AOI), move on to the Data Sets tab. • Type in “srtm” and you should see SRTM 1 Arc- Second Global. • Select that, then click on Results.
  14. 14. • You can show the SRTM image footprints by using the buttons on the left. • We see there are two SRTM images that fall within my AOI. • I will have to download both of them and mosaic (merge) them into a new raster. • You can display metadata (SRTM files were collected in 2000 but published in 2014). You can do individual or bulk downloads.
  15. 15. Get Metadata
  16. 16. Product Specifications (some metadata) Projection Geographic Horizontal Datum WGS84 Vertical Datum EGM96 (Earth Gravitational Model 1996) ellipsoid Vertical Units Meters Spatial Resolution 1 arc-second for global coverage (~30 meters) 3 arc-seconds for global coverage (~90 meters) Raster Size 1 degree tiles C-band Wavelength 5.6 cm Projection is geographic, so we will need to reproject to do measurements (area, length) in meters.
  17. 17. Download Data
  18. 18. Download Data • Earth Explorer offers SRTM data as: • Digital Terrain Elevation Data (DTED) • Band interleaved by line (BIL) (a binary raster format) • Georeferenced Tagged Image File Format (tif, tiff, GeoTIFF) • Any of these formats will work for this exercise. • I downloaded the GeoTIFF. • You should make a project directory (such as “C:/WATERSHED/DATA”) and move/unzip the files into that directory. https://lta.cr.usgs.gov/SRTM1Arc
  19. 19. 2. Set Work Environment
  20. 20. Map Document Settings • Create a new mxd document in the same folder as your data. Call it “watershed.mxd” • Enable Spatial Analyst tools Customize > Extensions > Spatial Analyst. Search the Hydrology toolbox. • Set Map Document Properties
  21. 21. Geoprocessing Settings • Create a new file geodatabase in your DATA directory using ArcCatalogue. You can name it what you want. • Go to Geoprocessing > Environment and enter the following settings.
  22. 22. Load Data and Check Properties • Load your geodatabase and images into the mxd. • Check your data properties. • I have 1 band and 16 Bit pixel depth. None of the data values are negative so, I can use a 16 Bit Unsigned when I mosaic rasters in the next step.
  23. 23. 3. Mosaic Rasters
  24. 24. Mosaic Rasters We need to combine images to have one raster = Mosaic To New Raster. The new raster name is “mosaicsrtm1.tif”.
  25. 25. Mosaic Output = mosaicsrtm1.tif
  26. 26. Enhance Visualization: Histogram Stretch & Color Scale
  27. 27. Nigeria/Cameroon border
  28. 28. 4. Find Sinks & Fill Sinks (Creating a depressionless DEM)
  29. 29. Find Sinks • Sinks are a common problem in DEM. “A sink is a cell or set of spatially connected cells whose flow direction cannot be assigned one of the eight valid values in a flow direction raster.” • Sinks are often data aberrations and they will impact and possibly ruin models of flow direction…. Yet, to find sinks we need to first do a flow direction analysis which assigns cell values that reflect flow direction. Flow Direction Results, Source: http://desktop.arcgis.com/en/arcmap/latest/tools/spatial-analyst- toolbox/how-flow-direction-works.htm Up to 4.7% of the cells in a 30 meter DEM might be sinks. Tarboton, D. G., R. L. Bras, and I. Rodriguez– Iturbe. 1991. "On the Extraction of Channel Networks from Digital Elevation Data." Hydrological Processes 5: 81–100. http://dx.doi.org/10.1002/hyp.3360050107
  30. 30. Flow Direction to Find Sinks Sinks are assigned a value of the sum of their possible directions. You can see below that the results do not give the actual flow direction grid that we want, they give us a raster with values 1-255. We can use this to identify sinks.
  31. 31. I zoomed into a small AOI. These dots are all sinks and peaks in the data that we need to fix. Notice how an apparent stream bed has a number of low and high values.
  32. 32. Fill • We need to run Fill on the original mosaic raster. Then we will run the Flow Direction again. • Fill will create a depressionless DEM.
  33. 33. 5. Flow Direction
  34. 34. Flow Direction • Now we can do a flow direction analysis on a depressionless DEM. (Notice the difference in our results now versus using the uncorrected data previously!) • We can include a drop raster that models drops in elevation too.
  35. 35. AOI Flow Direction
  36. 36. AOI Drop Raster
  37. 37. 6. Flow Accumulation
  38. 38. Flow Accumulation • Now that we know flow direction we can do a number of additional analyses. • Flow Accumulation counts the number of cells that flow into a particular cell.
  39. 39. Flow Accumulation • Deriving streams from flow accumulation requires examining your data and that you make a threshold decision. • Here I have made two classes of the flow accumulation grid, as a result any cells with more than 5000 cells flowing into them will be recognized as part of the stream network.
  40. 40. AOI Flow Accumulation Classification
  41. 41. AOI Flow Accumulation Classification over satellite images (visual check).
  42. 42. 6. Basins and Watersheds
  43. 43. Basins and Watersheds • There is a function (Basin) that will automatically calculate the basins in your data set using flow direction. • There is a way for us to choose to model specific watersheds by establishing pour points and looking at flow accumulation. • Let’s look at how to do both of these and then compare our results. Watersheds will take longer, so let’s start by making basins.
  44. 44. Results of the Basin tool.
  45. 45. Watersheds • Pour points are outlets of the watershed that you are interested in mapping. • You can upload a predetermined set of pour points (based on known locations) or you can establish your own set of points. • You will first need to create an empty shapefile (or geodatabase feature class) for your points. You can do this in ArcCatalogue. Call the new layer “pourpoints”.
  46. 46. Watersheds • When creating the new feature class, create a field called UNIQUEID using Short Integer Data Type. • This will be used to identify watersheds.
  47. 47. Pour Points • Load the new layer you created. • Start editing the file. • You may need to open the Create Features window to make the points.
  48. 48. • Add points to your new feature class as close as possible to the stream network. • Assign an “uniqueid” number to each point. • Save your edits and stop editing when done.
  49. 49. • Snap pour points to the highest point of flow accumulation near them. • Snap to Pour Point will do this and it will convert the points to a new raster grid. • Try several snap distances to avoid having all points go the same location (snap distance to large) or miss the stream network completely (snap distance too small). • We have a geographic coordinate system so the distance is measured in decimal degrees (1 decimal degree is ~111 km at the equator but changes further from the equator).
  50. 50. • Snap pour point distance has big impacts on watershed generation. • Distance 5 (~555km) led all my points to be collapsed to one point. • Distance 0 (no movement) led me to have one good watershed and one poor watershed. • Distance 0.005 (roughly 555 meters) allowed me snap my points to the highest flow cells and keep three watersheds.
  51. 51. Original vector pour points (yellow) shown next to the new raster pour points snapped to the highest flow accumulation point within roughly 555 meters.
  52. 52. Generate Watershed Using the three different snap pour points rasters to generate watersheds, I found that the 555 meters snap measurement gave the best results.
  53. 53. Erroneous watershed generated when Snap Distance = 0 km Only one watershed generated when Snap Distance = 555km Three watersheds generated when snap distance = 555 meters
  54. 54. 7. Stream Network
  55. 55. Creating a Stream Network • In order to get our raster streams into a vector format and to perform some other analysis, we need to make a raster that only shows our streams. • We will use Raster Calculator (located in the toolbox Spatial Analyst > Map Algebra). • Use the formula on the following slide to generate a new raster with only the streams represented.
  56. 56. This creates a new raster “streams” wherein all cells that had the flow accumulation value greater than 5000 will be given the value “1” and all other cells no value.
  57. 57. Creating a Stream Network Linear raster stream network.
  58. 58. • We can perform Stream Link (to assign unique values to branches of the stream network). • Also, look at stream order using Shreve or Strahler approaches.
  59. 59. • Shreve adds cumulatively saying that 1+1=2, 2+3=5, and 2+2=4. • Strahler says that when order 1+1=2 and that 2+3 = 3 and that 2+2=3. • This makes a big difference in the number of orders!
  60. 60. We can now convert these ordered steams to a vector (polyline) feature using Stream to Feature. This gives us a feature class that includes attributes for the nodes and the order (“grid code”) as well as the length (but in decimal degrees, so we need to fix that).
  61. 61. Projections and Calculating Length • We need to project our data into a projected coordinate system in order to accurately measure length and areas. • There are two ways to do this calculation: • Project our data into a new feature class in a geodatabase (automatically will calculate length and are in meters). • Project our data into a shapefile, add data fields, and calculate geometry for the new fields.
  62. 62. Projections • First find a projected coordinate system that is appropriate. • For my data I used UTM Zone 33N (which covers the majority of my region). • I add the EPSG number to the file name to identify the projection. The EPSG for UTM Zone 33N is 32633. • You can reproject direcly to a feature class (gdb) or a shapefile.
  63. 63. You can also project directly to a feature class in your geodatabase. Or use Feature Class to Feature Class to send the shapefile to your geodatabase. Project to a shapefile: No geographic transformation is needed as I am using the same datum.
  64. 64. Calculating Length (geodatabase) • This is done for you in the geodatabase. See Shape_Length now in meters.
  65. 65. Calculating Length (shapefile) Add a new field, right click on the field and choose Calculate Geometry, Now you should see the calculation in your attribute table.
  66. 66. You can now change the Symbology (try line width and/or colors) on your new vector stream network to visually represent the stream orders, section length, or other attributes.
  67. 67. 9. Converting to Polygons and Cleaning Up
  68. 68. Basin to Polygon • Open up the Basin raster attribute table and sort by count. • By selecting the row you will be able to visually identify and select the basin near your watershed.
  69. 69. Basin to Polygon • The only function you need now is Raster to Polygon. • If you don’t select parts of the raster, then you can get all the basin polygons using the above function.
  70. 70. Basin to Polygon Now you should have your new basin polygon.
  71. 71. Watersheds to Polygon • Like Basins, we use Raster to Polygon. • Yet, something funny happens… Open the attribute table to see.
  72. 72. Watersheds to Polygon • We now have five watersheds because in converting the raster to a polygon, some cells were cut off and formed new features. • Select one of the areas with small or no Shape_Area (again this is in decimal degree because we have not projected our data yet). • Zoom to the selected area (this is an option in the menu).
  73. 73. Watersheds to Polygon Here we see the original raster watershed below the vector watershed. We have two options, delete the hanging area or merge the features. Given the small size, I simply deleted the small polygon features in the table (you may need to turn on editing). I then projected (EPSG 32633) the feature class in the geodatabase. I now have my three watersheds and the measurement of area in meters.
  74. 74. 10. Comparing Basin to Watersheds
  75. 75. We now have watersheds.
  76. 76. We now have a basin and rivers.
  77. 77. We can compare our basin to our watersheds and rivers.
  78. 78. We can compare our basin to our watersheds and rivers. • When we decided to locate pour points, we ended up not capturing the entire basin and even including part of another basin. • This could impact field decisions. • For example, if we were collecting flow information with monitors located in the field we might decide to change the location of our pour points (monitors) to more accurately represent the entire basin and maybe even capture 1-2 more basins with the same amount of monitors.
  79. 79. 11. Answering the Research Question
  80. 80. Does the basin or any small watershed cross international borders?
  81. 81. Does the basin or any small watershed cross international borders? • Yes, the basin appears to cross the border, it is largely in Cameroon with small parts of it in Nigeria. • As well there were other basins that, appeared to cross the border (largely in Nigeria with small parts in Cameroon). • We could continue on with this analysis identifying and quantifying the overlap of basins throughout this region. • Given our findings, we might suggest that the basin and watersheds overlapping the border are reasons to explore an international conservation area or an international agreement on watershed management.
  82. 82. Looking Back You now know how to: • Get SRTM 1 Arc-Second (30 meter resolution) for free. • Merge raster grids into mosaics. • Derive streams, stream orders, basins, and specific watersheds from the data. • Convert raster grids into vector features. • Calculate area and length. • Create and analyze evidence for responding to geographic questions. More information about this region can be found from organizations such as BirdLife International: http://www.birdlife.org/datazone/sitefactsheet.php?id=6112
  83. 83. End Did you find an error? Could something be more clearly explained? Did you adopt and adapt these materials? Let me know at arthur.green@mail.mcgill.ca Watershed Delineation by Arthur Gill Green is licensed under a Creative Commons Attribution- ShareAlike 4.0 International License. Based on a work at http://greengeographer.com/.

×