Animation of five satellite images of the Tanana River in Alaska. The imagery is colored in shades of blue to show the degree of confidence that water is present. Two scatter plots show positive pairwise relationships between satellite river elevation and satellite river width and satellite streamflow.
Merritt Harlan, PhD
Dr. Merritt Harlan is a Mendenhall Fellow and research hydrologist for the USGS Water Resources Mission Area based in Lakewood Colorado.
Dr. Harlan’s research focuses on remote sensing of inland waters, with a particular interest in high latitude rivers. Dr. Harlan is interested in applying data from ongoing and upcoming satellite missions (such as the Surface Water Ocean Topography satellite mission; SWOT) to estimate river flows in ungaged basins, assess changes in surface water in high latitude lakes and rivers, and compare and evaluate the accuracy of satellite-derived stage and streamflow to field data and modeled data. Currently, she is involved in the Satellite-based Remote Sensing of River Discharge Project to expand streamflow monitoring in Alaska
Education and Certifications
Ph.D in Civil and Environmental Engineering, University of Massachusetts Amherst (2022)
B.A. in Mathematics, Williams College (2016)
Science and Products
Estimated Streamflow Using Satellite Data for Selected Rivers in Alaska Estimated Streamflow Using Satellite Data for Selected Rivers in Alaska
Selected Inputs of Siting Considerations for Satellite Observation of River Discharge Selected Inputs of Siting Considerations for Satellite Observation of River Discharge
Computed Streamflow Using Satellite Data for Selected Rivers in Alaska Computed Streamflow Using Satellite Data for Selected Rivers in Alaska

Animation of five satellite images of the Tanana River in Alaska. The imagery is colored in shades of blue to show the degree of confidence that water is present. Two scatter plots show positive pairwise relationships between satellite river elevation and satellite river width and satellite streamflow.
Remote sensing of river discharge based on critical flow theory Remote sensing of river discharge based on critical flow theory
The 2024 “Hacking Limnology” Workshop Series and Virtual Summit: Increasing inclusion, participation, and representation in the aquatic sciences The 2024 “Hacking Limnology” Workshop Series and Virtual Summit: Increasing inclusion, participation, and representation in the aquatic sciences
Lake water storage Lake water storage
Siting considerations for satellite observation of river discharge Siting considerations for satellite observation of river discharge
Quantification of wetland vegetation communities features with airborne AVIRIS-NG, UAVSAR, and UAV LiDAR data in Peace-Athabasca Delta Quantification of wetland vegetation communities features with airborne AVIRIS-NG, UAVSAR, and UAV LiDAR data in Peace-Athabasca Delta
Satellite remote sensing of river discharge: A framework for assessing the accuracy of discharge estimates made from satellite remote sensing observations Satellite remote sensing of river discharge: A framework for assessing the accuracy of discharge estimates made from satellite remote sensing observations
The importance of lake emergent aquatic vegetation for estimating Arctic-boreal methane emissions The importance of lake emergent aquatic vegetation for estimating Arctic-boreal methane emissions
Non-USGS Publications**
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
Satellite Tool for River Altimetry and eXtent in Alaska (SatTRAX-AK) Satellite Tool for River Altimetry and eXtent in Alaska (SatTRAX-AK)
Science and Products
Estimated Streamflow Using Satellite Data for Selected Rivers in Alaska Estimated Streamflow Using Satellite Data for Selected Rivers in Alaska
Selected Inputs of Siting Considerations for Satellite Observation of River Discharge Selected Inputs of Siting Considerations for Satellite Observation of River Discharge
Computed Streamflow Using Satellite Data for Selected Rivers in Alaska Computed Streamflow Using Satellite Data for Selected Rivers in Alaska

Animation of five satellite images of the Tanana River in Alaska. The imagery is colored in shades of blue to show the degree of confidence that water is present. Two scatter plots show positive pairwise relationships between satellite river elevation and satellite river width and satellite streamflow.
Animation of five satellite images of the Tanana River in Alaska. The imagery is colored in shades of blue to show the degree of confidence that water is present. Two scatter plots show positive pairwise relationships between satellite river elevation and satellite river width and satellite streamflow.
Remote sensing of river discharge based on critical flow theory Remote sensing of river discharge based on critical flow theory
The 2024 “Hacking Limnology” Workshop Series and Virtual Summit: Increasing inclusion, participation, and representation in the aquatic sciences The 2024 “Hacking Limnology” Workshop Series and Virtual Summit: Increasing inclusion, participation, and representation in the aquatic sciences
Lake water storage Lake water storage
Siting considerations for satellite observation of river discharge Siting considerations for satellite observation of river discharge
Quantification of wetland vegetation communities features with airborne AVIRIS-NG, UAVSAR, and UAV LiDAR data in Peace-Athabasca Delta Quantification of wetland vegetation communities features with airborne AVIRIS-NG, UAVSAR, and UAV LiDAR data in Peace-Athabasca Delta
Satellite remote sensing of river discharge: A framework for assessing the accuracy of discharge estimates made from satellite remote sensing observations Satellite remote sensing of river discharge: A framework for assessing the accuracy of discharge estimates made from satellite remote sensing observations
The importance of lake emergent aquatic vegetation for estimating Arctic-boreal methane emissions The importance of lake emergent aquatic vegetation for estimating Arctic-boreal methane emissions
Non-USGS Publications**
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.