River Surface Reflectance Database

---

River Surface Reflectance Database

A Geospatial Resource

By [source]

---

About this dataset

This dataset provides an invaluable collection of surface reflectance values across all rivers in the contiguous USA which are ~60 meters wide or more. The set contains level 1 collection 1 data for Landsat 5, 7 and 8 and is geo-referenced to river centerlines with network topology (NHDPlusV2). As a result, users can quickly conduct detailed geospatial analysis with this comprehensive dataset. For example, each record contains the NHDPlusV2 centerline ID as well as various surface reflectance values such as those of red, green, blue and near infrared bands. These bands present the median reflectance of pixels detected within each Landsat scene that lie inside each reach's boundaries. This information helps us better understand how different components of aquatic ecosystems vary across space - aiding research activities such as habitat assessment or species migration studies like never before!

More Datasets

For more datasets, click here.

Featured Notebooks

• 🚨 Your notebook can be here! 🚨!

How to use the dataset

• Understand Data: Once you clicked on it, you will get an overview of all information regarding this dataset like number of observations, original source for the data, types of columns etc.. You should also read through columns descriptions to better understand what each column contains.

• Exploratory Analysis & Visualization: After understanding what data is present in this dataset it's a good idea to do some exploratory analysis and visualization using graphical tools such as pandas for Python or Tableau for example. This will help you see patterns or trends which are otherwise difficult to identify at first glance when looking at raw numbers or text description alone alone. While visualizing focus specifically on those variables which have maximum impact on overall performance i-e reachids, latitudes and longitudes of rivers center lines etcetera as they are more likely to contain more useful insights than rest!

• Modeling & Prediction: Now that you know basic information regarding your dataset, try and build different regression models like linear regression (for predicting lengths), Time Series (predicting band values) or any other model depending upon your requirements to gain further insight into our datasets so decisions can be quickly taken based upon factual evidence!

5 Reachid_ID & COMID_ID Files : In addition , there are two files namely Reachid_ID & COMID ID in this dataset , containing river COMIDs (validation numbers) combined with their corresponding IDs . These files enable users quickly identify what particular center line correspondes with which reach easily without having manually go through hundreds if not thousands records!

Research Ideas

• Using the median reflectance values of the different bands, it could be used to identify areas with high or low chlorophyll concentrations in a river, which can give an indication of the water quality and presence of aquatic life.
• Comparing surface reflectance across different rivers over time could help identify changes in land use that have impacted the adjacent tributary system’s condition over time.
• By analyzing the surface reflectance levels for specific versions, ecological assessments could be performed on a river to determine its health and potential management strategies needed for protecting against human threats such as pollutants, sedimentation etc

Acknowledgements

If you use this dataset in your research, please credit the original authors.
Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: COMID_ID.csv

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit .