Kate Fickas, PhD (Former Employee)
Science and Products
National-scale, remotely sensed lake trophic status 1984-2020
Lake trophic status is a key water quality property that integrates a lake's physical, chemical, and biological processes. Despite the importance of trophic status as a gauge of lake water quality, standardized and machine readable observations are uncommon. Remote sensing presents an opportunity to detect and analyze lake trophic status with reproducible, robust methods across time and space.
SSEBop evapotranspiration estimates using synthetically derived Landsat data from the continuous change detection and classification algorithm
The operational Simplified Surface Energy Balance (SSEBop) model has been utilized to generate gridded evapotranspiration data from Landsat images. These estimates are primarily driven by two sources of information: reference evapotranspiration and Landsat land surface temperature (LST) values. Hence, SSEBop is limited by the availability of Landsat data. Here, in this proof-of-concept paper, we u
Authors
Mikael Peter Hiestand, Heather J. Tollerud, W. Chris Funk, Gabriel B. Senay, Mackenzie Friedrichs, Kate Fickas
National-scale remotely sensed lake trophic state from 1984 through 2020
Lake trophic state is a key ecosystem property that integrates a lake’s physical, chemical, and biological processes. Despite the importance of trophic state as a gauge of lake water quality, standardized and machine-readable observations are uncommon. Remote sensing presents an opportunity to detect and analyze lake trophic state with reproducible, robust methods across time and space. We used La
Authors
Michael Frederick Meyer, Simon Nemer Topp, Tyler Victor King, Robert Ladwig, Rachel M. Pilla, Hilary A. Dugan, Jack R. Eggleston, Stephanie E. Hampton, Dina M Leech, Isabella Oleksy, Jesse Cleveland Ross, Matthew V Ross, R. Iestyn Woolway, Xiao Yang, Matthew R. Brousil, Kate Colleen Fickas, Julie C Padowski, Amina Pollard, Jianning Ren, Jacob Aaron Zwart
Leveraging multimission satellite data for spatiotemporally coherent cyanoHAB monitoring
Cyanobacteria harmful algal blooms (cyanoHABs) present a critical public health challenge for aquatic resource and public health managers. Satellite remote sensing is well-positioned to aid in the identification and mapping of cyanoHABs and their dynamics, giving freshwater resource managers a tool for both rapid and long-term protection of public health. Monitoring cyanoHABs in lakes and reservoi
Authors
Kate Colleen Fickas, Ryan O'Shea, Nima Pahlevan, Brandon Smith, Sarah Bartlett, Jennifer L. Wolny
Science and Products
National-scale, remotely sensed lake trophic status 1984-2020
Lake trophic status is a key water quality property that integrates a lake's physical, chemical, and biological processes. Despite the importance of trophic status as a gauge of lake water quality, standardized and machine readable observations are uncommon. Remote sensing presents an opportunity to detect and analyze lake trophic status with reproducible, robust methods across time and space.
SSEBop evapotranspiration estimates using synthetically derived Landsat data from the continuous change detection and classification algorithm
The operational Simplified Surface Energy Balance (SSEBop) model has been utilized to generate gridded evapotranspiration data from Landsat images. These estimates are primarily driven by two sources of information: reference evapotranspiration and Landsat land surface temperature (LST) values. Hence, SSEBop is limited by the availability of Landsat data. Here, in this proof-of-concept paper, we u
Authors
Mikael Peter Hiestand, Heather J. Tollerud, W. Chris Funk, Gabriel B. Senay, Mackenzie Friedrichs, Kate Fickas
National-scale remotely sensed lake trophic state from 1984 through 2020
Lake trophic state is a key ecosystem property that integrates a lake’s physical, chemical, and biological processes. Despite the importance of trophic state as a gauge of lake water quality, standardized and machine-readable observations are uncommon. Remote sensing presents an opportunity to detect and analyze lake trophic state with reproducible, robust methods across time and space. We used La
Authors
Michael Frederick Meyer, Simon Nemer Topp, Tyler Victor King, Robert Ladwig, Rachel M. Pilla, Hilary A. Dugan, Jack R. Eggleston, Stephanie E. Hampton, Dina M Leech, Isabella Oleksy, Jesse Cleveland Ross, Matthew V Ross, R. Iestyn Woolway, Xiao Yang, Matthew R. Brousil, Kate Colleen Fickas, Julie C Padowski, Amina Pollard, Jianning Ren, Jacob Aaron Zwart
Leveraging multimission satellite data for spatiotemporally coherent cyanoHAB monitoring
Cyanobacteria harmful algal blooms (cyanoHABs) present a critical public health challenge for aquatic resource and public health managers. Satellite remote sensing is well-positioned to aid in the identification and mapping of cyanoHABs and their dynamics, giving freshwater resource managers a tool for both rapid and long-term protection of public health. Monitoring cyanoHABs in lakes and reservoi
Authors
Kate Colleen Fickas, Ryan O'Shea, Nima Pahlevan, Brandon Smith, Sarah Bartlett, Jennifer L. Wolny