| Influence of vegetation structure on lidar-derived canopy height and fractional cover in forested riparian buffers during leaf-off and leaf-on conditions L Wasser, R Day, L Chasmer, A Taylor PLoS One 8 (1), e54776, 2013 | 125 | 2013 |
| Skills and knowledge for data-intensive environmental research SE Hampton, MB Jones, LA Wasser, MP Schildhauer, SR Supp, J Brun, ... BioScience 67 (6), 546-557, 2017 | 95 | 2017 |
| geopandas/geopandas: v0. 10.2 K Jordahl, J Van Den Bossche, M Fleischmann, J McBride, J Wasserman, ... Zenodo, 2021 | 46 | 2021 |
| Quantifying land use effects on forested riparian buffer vegetation structure using LiDAR data L Wasser, L Chasmer, R Day, A Taylor Ecosphere 6 (1), 1-17, 2015 | 39 | 2015 |
| The basics of lidar-light detection and ranging-remote sensing LA Wasser NSF NEON| Open Data to Understand our Ecosystems 22, 2020 | 29 | 2020 |
| Harnessing the NEON data revolution to advance open environmental science with a diverse and data‐capable community RC Nagy, JK Balch, EK Bissell, ME Cattau, NF Glenn, BS Halpern, ... Ecosphere 12 (12), e03833, 2021 | 22 | 2021 |
| EarthPy: A Python package that makes it easier to explore and plot raster and vector data using open source Python tools. L Wasser, MB Joseph, J McGlinchy, J Palomino, N Korinek, C Holdgraf, ... Journal of Open Source Software 4 (43), 1886, 2019 | 13 | 2019 |
| The NEON 2013 airborne campaign at domain 17 terrestrial and aquatic sites in California T Kampe, N Leisso, J Musinsky, S Petroy, B Karpowiez, K Krause, ... NEON Technical Memorandum Series, TM-005, 2013 | 10 | 2013 |
| Sentiment Analysis of Colorado Flood Tweets in R L Wasser, C Farmer Earth Lab, 2018 | 6 | 2018 |
| geopandas/geopandas: v0. 10.2 (v0. 10.2). Zenodo K Jordahl, J Van Den Bossche, M Fleischmann, J McBride, J Wasserman, ... | 5 | 2021 |
| Canopy Height Models, Digital Surface Models & Digital Elevation Models-Work with LiDAR Data in Python L Wasser Earth Data Science-Earth Lab, 2019 | 5 | 2019 |
| TM-005: The NEON 2013 airborne campaign at domain 17 terrestrial and aquatic sites in California T Kampe, N Leisso, J Musinsky, S Petroy, B Karpowicz, K Krause, ... Nat. Ecol. Observatory Netw., Boulder, CO, USA, Tech. Rep. TM-005, 2013 | 5 | 2013 |
| Using peer review to support development of community resources for research data management H Soyka, A Budden, V Hutchison, D Bloom, J Duckles, A Hodge, ... Journal of eScience Librarianship 6 (2), e1114, 2017 | 4 | 2017 |
| Ten simple rules for working with high resolution remote sensing data AL Mahood, MB Joseph, AI Spiers, MJ Koontz, N Ilangakoon, KK Solvik, ... Peer Community Journal 3, 2023 | 3 | 2023 |
| pyOpenSci: Open and reproducible research, powered by Python M Trizna, L Wasser, D Nicholson Biodiversity Information Science and Standards, 2021 | 2 | 2021 |
| Democratizing Access to Earth Data Science Skills Using Blended Online and In-Person Approaches and Open Education LA Wasser, L Herwehe, J Palomino AGU Fall Meeting Abstracts 2019, ED13D-0905, 2019 | 2 | 2019 |
| Validating LiDAR Derived Estimates of Canopy Height, Structure and Fractional Cover in Riparian Areas: A Comparison of Leaf-on and Leaf-off LiDAR Data LA Wasser, LE Chasmer, A Taylor, R Day AGU Fall Meeting Abstracts 2010, B33A-0385, 2010 | 2 | 2010 |
| Student-Directed Learning in the Open Earth & Environmental Data Science Classroom L Wasser, J Palomino, L Herwehe, N Quarderer, J McGlinchy, J Balch, ... OSF, 2022 | 1 | 2022 |
| pyOpenSci Promoting Open Source Python Software To Support Open Reproducible Science LA Wasser, C Holdgraf AGU Fall Meeting Abstracts 2019, NS21A-13, 2019 | 1 | 2019 |
| Earth Analytics in R Course L Wasser | 1 | 2019 |
