River obstructions in the form of dams, locks, and other such barriers, are a globally important impact that humans have had on the movement of water, sediment, organisms, and nutrients from land to sea. Despite existing datasets of the world’s largest dams like GRanD, there is not a global inventory of obstructions to rivers. That is the goal of this project: Identify and categorize human-built river barriers for rivers wider than ~30 meters across the globe. These barriers can vary enormously in their size, volume of water disrupted, and biological permeability (can fish swim past them?). We will try to capture some of this broad variation in river obstructions, so we need to be clear about the different barriers that may cross a river, which are listed here in the Barrier Types section.
We will be using Google earth engine for this project and instructions on how to use this software are detailed below. We will also be using the Global River Widths from Landsat (GRWL) dataset generated by George Allen and Tamlin Pavelsky. This dataset highlights all rivers wider than ~30m, and shows up as a yellow line in the images below.
This tutorial describes the training and validation process. The purpose of this step is both to teach you how to use our Google earth engine framework to classify river obstructions, and to provide us with data to see how similarly all our volunteers classify a range of obstructions. We hope that the barrier type examples below will help guide everyone to classify obstructions similarly, but we understand that there will be variation as there is a level of subjectivity in classifying these obstructions.
Read this tutorial and/or watch this video
Sign up for Google Earth Engine: https://earthengine.google.com/
Go to the project Github page.
Copy and paste everything into a blank Google Earth Engine editor.
var Dams =...
and earth engine will prompt you to import these records. Click convert to do so.Here is a decision tree to help you differentiate between different types of river obstructions. Detailed descriptions of each obstruction type are listed in the next section.
If fewer than all the chanels are obstructed, please see the section on Channel Dams. Otherwise, if all the channels are obstructed, please label each obstruction individually.
Dams should be the most obvious barriers you will encounter. These cover the entire river channel, not allowing any water to pass through except through the dam structure itself. These are strong barriers to both the flow of water and the movement of organisms above and below the dam. Examples below.
Locks are a subset of dams and are structures placed on rivers to help barges and other river traffic move up and downstream, these can look a lot like dams, and typically fully obstruct the flow of water in the river, however the lock system itself can be permeable to fish who can swim into the lock area and make their way upstream, though this is still a significant barrier it is not impossible to imagine fish moving upstream. Only full dams (concrete complete channel obstruction) with lock passages should be classified as locks.
Channel dams obstruct less than all of the channels on a multi-channel river. These can have significant upstream hydrologic impacts, but are less likely to alter ecological processes in the larger river section. Any type of dam (permeable, partial or otherwise) that is on a channel, should be classified as a channel dam. If all channels are impacted by obstructions see the Multi-channel rivers section.
Throughout your search for dams, you will likely encounter some dams that do not cover 100% of the river channel. For now we are just keeping track of these dams in two broad categories. Dams that cover > 50% of the channel, and dams that cover < 50% of the channel but more than 10%. These partial dams can be broken on the side of the channel or in the center but should be recorded as partial dams.
This barrier covers about 30% of the channel and should be included in the database.
Little jetties or piers or tiny barrages will not be included in the dataset.
For the purpose of this study, these dams will either have a small height difference upstream and downstream of the dam or will allow water to pass through them. These dams can look a lot like natural riffles or natural waterfalls and should only be included in the dataset if you are very sure that the structure is indeed a man-made river barrier. These will likely only be identifiable in parts of the world with higher resolution imagery. In earlier iterations of this project we called these permeable dams, but that name is misleading as one can not be sure if a dam is permeable without more focused local study. For now we have kept the permeable name in the category to keep nomenclature the same between different users, but for future work and publication these will more simply be called low-head dams. We recognize that this is a hard category to define and ask that you use your best judgment.
Many times in your search you will come across structures that could either be dams or natural riffles or just a random rock slide. To be cautious in our assignments you should label these in a broad category of uncertain.
We don’t have to record these natural features, but the category is available to you if you find it interesting or want to start a project about natural riffles.
For this project we are not calling roads obstructions unless the road itself is on a dam. Sometimes there are roads sitting on top of partial earthen dams, and those should be classified as partial dams.
If you have made a mistake, click on the hand icon at the top left-hand corner of the map (see the red circle on the figure below). Next, click on the point you dislike. Lastly, hit backspace or delete on your keyboard.
To resume adding points, go back to the geometry bar (see the yellow box on the figure below), and click on the type of obstruction you want to add.
When you are done, or want to finish later, please do the following:
Hit ‘Run’ at the top center of your screen or Ctrl + Enter on your keyboard.
Next, go to the ‘Task’ panel at the top right portion of your screen. You should see an item called ‘export_data.’
Hit ‘Run’ next to the ‘export_data’ item.
Hit ‘Run.’
Hit ‘save’ at the top of the page to save your work.
Check that your .csv file is in the right place, and that the data are there.
You’re done!