Search

GAEC Lab
GAEC Lab
  • People
  • News
  • Projects
  • Publications
  • Posters
  • Opportunities
  • Blogs
  • Light Dark Automatic

Explore Popular Topics

Climate Change Flooding Forest cover Great Lakes Landsat Machine Learning MODIS Murray–Darling Basin On-farm reservoirs Remote Sensing Surface water Wetlands

Lab Associated Publications

All Member Publications and Presentations

Mirela G. Tulbure, Júlio Caineta, Brooke Cox, Stephen V. Stehman, Ayse Ercumen, Rebecca Witter, Ryan Emanuel, Dana E. Powell, Kemp Burdette, Sherri White-Williamson, Shea Tuberty (2024). Earth Observation Data to Support Environmental Justice: Linking Non-Permitted Poultry Operations to Social Vulnerability Indices. GeoHealth.

PDF Cite DOI

Varun Tiwari, Kelly Thorp, Mirela G. Tulbure, Joshua Gray, Mohammad Kamruzzaman, Timothy J. Krupnik, A. Sankarasubramanian, Marcelo Ardon (2024). Advancing food security: Rice yield estimation framework using time-series satellite data & machine learning. PLOS ONE.

PDF Cite DOI

Philippe Rufin, Sherrie Wang, Sa Nogueira Lisboa, Jan Hemmerling, Mirela G. Tulbure, Patrick Meyfroidt (2024). Taking it further: Leveraging pseudo-labels for field delineation across label-scarce smallholder regions. International Journal of Applied Earth Observation and Geoinformation.

PDF Cite DOI

Margaret A. Lawrimore, Georgina M. Sanchez, Cayla Cothron, Mirela G. Tulbure, Todd K. BenDor, Ross K. Meentemeyer (2024). Creating spatially complete zoning maps using machine learning. Computers, Environment and Urban Systems.

PDF Cite DOI

Rebecca Composto, Mirela G. Tulbure, Varun Tiwari, Mollie D. Gaines, Júlio Caineta (2024). Quantifying urban flood extent using satellite imagery and machine learning. Natural Hazards.

PDF Cite DOI

Mollie D. Gaines, Mirela G. Tulbure, Vini Perin, Rebecca Composto, Varun Tiwari (2024). Projecting Surface Water Area Under Different Climate and Development Scenarios. Earth’s Future.

PDF Cite Project DOI

Varun Tiwari, Mirela G. Tulbure, Júlio Caineta, Mollie D. Gaines, Vini Perin, Mustafa Kamal, Timothy J. Krupnik, Md Abdullah Aziz, AFM Tariqul Islam (2024). Automated in-season rice crop mapping using Sentinel time-series data and Google Earth Engine: A case study in climate-risk prone Bangladesh. Journal of Environmental Management.

PDF Cite DOI

Sukant Jain, Varun Tiwari, Amrit Thapa, Rohit Mangla, R. K. Jaiswal, Vinay Kumar, Supriya Tiwari, Mirela G. Tulbure, Ravi Galkate, A. K. Lohani, Kamal Pandey (2022). Performance Evaluation of Google Earth Engine Based Precipitation Datasets Under Different Climatic Zones over India. Remote Sensing in Earth Systems Sciences.

PDF Cite

Mollie D. Gaines, Mirela G. Tulbure, Vini Perin (2022). Effects of Climate and Anthropogenic Drivers on Surface Water Area in the Southeastern United States. Water Resources Research.

PDF Cite Project

Mirela G. Tulbure, Mark Broich, Vini Perin, Mollie D. Gaines, Junchang Ju, Stephen V. Stehman, Tamlin Pavelsky, Jeffrey G. Masek, Simon Yin, Joachim Mai, Luc Betbeder-Matibet (2022). Can we detect more ephemeral floods with higher density harmonized Landsat Sentinel 2 data compared to Landsat 8 alone?. ISPRS Journal of Photogrammetry and Remote Sensing.

PDF Cite

Vini Perin, Mirela G. Tulbure, Mollie D. Gaines, Michele L. Reba, Mary A. Yaeger (2022). A multi-sensor satellite imagery approach to monitor on-farm reservoirs. Remote Sensing of Environment.

PDF Cite Project

Mirela G. Tulbure, Patrick Hostert, Tobias Kuemmerle, Mark Broich (2021). Regional matters: On the usefulness of regional land-cover datasets in times of global change. Remote Sensing in Ecology and Conservation.

PDF Cite Project DOI

Vini Perin, Samapriya Roy, Joe Kington, Thomas Harris, Mirela G. Tulbure, Noah Stone, Torben Barsballe, Michele Reba, Mary A. Yaeger (2021). Monitoring Small Water Bodies Using High Spatial and Temporal Resolution Analysis Ready Datasets. Remote Sensing.

Cite Project DOI

Vini Perin, Mirela G. Tulbure, Mollie D. Gaines, Michele L. Reba, Mary A. Yaeger (2021). On-farm reservoir monitoring using Landsat inundation datasets. Agricultural Water Management.

PDF Cite Project

Mirela G. Tulbure, Mark Broich, Junchang Ju, Vini Perin, Mollie D. Gaines, Simon Yin, Stephen V. Stehman, Tamlin Pavelsky, Joachim Mai, Luc Betbeder-Matibet, Jeffrey G Masek (2020). Can we detect more ephemeral floods with higher density harmonized Landsat 8/Sentinel 2 data compared to just one sensor?. In AGU.

AGU Link

Mollie D. Gaines, Mirela G. Tulbure, Vini Perin (2020). The Effects of Climate and Human Drivers on Changes in Surface Water in the Southeastern United States. In AGU.

Project AGU Link

Valentin Heimhuber, Mirela G. Tulbure, Mark Broich (2019). The role of GRACE total water storage anomalies, streamflow and rainfall in stream salinity trends across Australia’s Murray-Darling Basin during and post the Millennium Drought. International Journal of Applied Earth Observation and Geoinformation.

PDF Cite Project

Mirela G. Tulbure, Mark Broich (2018). Surface water and flooding dynamics based on seasonally continuous Landsat data (1986-2011) in a dryland river basin (monthly, seasonally, and yearly animations). Dataset - Zenodo.

Cite Dataset Link

Mirela G. Tulbure, Mark Broich (2018). Surface water and flooding dynamics data set based on seasonally continuous Landsat data (1986-2011) in a dryland river basin. Dataset - Zenodo.

Cite Dataset Link

Mirela G. Tulbure, Mark Broich (2018). Spatiotemporal patterns and effects of climate and land use on surface water extent dynamics in a dryland region with three decades of Landsat satellite data. Science of the Total Environment.

PDF Cite

See all publications

© GAEC Lab

Published with Wowchemy — the free, open source website builder that empowers creators.

Cite
Copy Download