| The ECOSTRESS spectral library version 1.0 SK Meerdink, SJ Hook, DA Roberts, EA Abbott Remote Sensing of Environment 230, 111196, 2019 | 290 | 2019 |
| Hyperspectral vegetation indices DA Roberts, KL Roth, EB Wetherley, SK Meerdink, RL Perroy Hyperspectral indices and image classifications for agriculture and …, 2018 | 166 | 2018 |
| Linking seasonal foliar traits to VSWIR-TIR spectroscopy across California ecosystems SK Meerdink, DA Roberts, JY King, KL Roth, PE Dennison, CH Amaral, ... Remote Sensing of Environment 186, 322-338, 2016 | 59 | 2016 |
| Classifying California plant species temporally using airborne hyperspectral imagery SK Meerdink, DA Roberts, KL Roth, JY King, PD Gader, A Koltunov Remote sensing of environment 232, 111308, 2019 | 46 | 2019 |
| Comparison of methods for modeling fractional cover using simulated satellite hyperspectral imager spectra PE Dennison, Y Qi, SK Meerdink, RF Kokaly, DR Thompson, ... Remote Sensing 11 (18), 2072, 2019 | 35 | 2019 |
| Plant species' spectral emissivity and temperature using the hyperspectral thermal emission spectrometer (HyTES) sensor S Meerdink, D Roberts, G Hulley, P Gader, J Pisek, K Adamson, J King, ... Remote sensing of environment 224, 421-435, 2019 | 34 | 2019 |
| Seasonal and interannual drought responses of vegetation in a California urbanized area measured using complementary remote sensing indices DL Miller, M Alonzo, SK Meerdink, MA Allen, CL Tague, DA Roberts, ... ISPRS journal of photogrammetry and remote sensing 183, 178-195, 2022 | 21 | 2022 |
| Multitarget multiple-instance learning for hyperspectral target detection S Meerdink, J Bocinsky, A Zare, N Kroeger, C McCurley, D Shats, P Gader IEEE transactions on geoscience and remote sensing 60, 1-14, 2021 | 20 | 2021 |
| Monitoring post-fire recovery of chaparral and conifer species using field surveys and landsat time series CL Kibler, AML Parkinson, SH Peterson, DA Roberts, CM D’Antonio, ... Remote Sensing 11 (24), 2963, 2019 | 19 | 2019 |
| Upscaling dryland carbon and water fluxes with artificial neural networks of optical, thermal, and microwave satellite remote sensing MP Dannenberg, ML Barnes, WK Smith, MR Johnston, SK Meerdink, ... Biogeosciences Discussions 2022, 1-33, 2022 | 5 | 2022 |
| Remote sensing of plant species using airborne hyperspectral visible-shortwave infrared and thermal infrared imagery SK Meerdink University of California, Santa Barbara, 2018 | 5 | 2018 |
| Temporal mapping of hyperspectral data R Fick, P Gader, A Zare, S Meerdink 2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution …, 2019 | 3 | 2019 |
| Developing spectral libraries using multiple target multiple instance adaptive cosine/coherence estimator S Meerdink, J Bocinsky, E Wetherley, A Zare, C McCurley, P Gader 2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution …, 2019 | 3 | 2019 |
| Dealing with imperfect data for invasive species detection using multispectral imagery S Meerdink, D Hiatt, SL Flory, A Zare Ecological informatics 79, 102432, 2024 | 2 | 2024 |
| Spectral Transformations for Multitemporal Hyperspectral Classification Y Lin, S Meerdink, P Gader IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 1 | 2021 |
| Spectral emissivity features of plants: Prospects for the Hyperspectral Thermal Emission Spectrometer (HyTES) sensor S Meerdink, DA Roberts, SJ Hook AGU Fall Meeting Abstracts 2016, GC53C-1294, 2016 | 1 | 2016 |
| Advances in Harmful Algal Bloom (HAB) Detection: Refining Remote Sensing Surface Reflectance Retrievals for HAB monitoring using a Multispectral UAV Platform. D Swanepoel, MA Linderman, S Meerdink, CD Markfort AGU23, 2023 | | 2023 |
| Seasonal effects of the fungal pathogen Tubakia iowensis (bur oak blight) on the photosynthetic capacity of infected Quercus macrocarpa (bur oak) E Kraus, S Meerdink, M Griffin, AHM Islam, M Johnston, L Pearson, ... AGU Fall Meeting Abstracts 2022, B55G-1041, 2022 | | 2022 |
| Detecting Invasive Plant Species in the Everglades National Park S Meerdink, SL Flory, D Hiatt, A Zare AGU Fall Meeting Abstracts 2022, B22D-1449, 2022 | | 2022 |
| Bur Oak blight & photosynthesis: Predicting Vcmax and Jmax using leaf hyperspectral and partial least squares regression AHM Islam, S Meerdink, M Griffin, M Johnston, E Kraus, L Pearson, ... AGU Fall Meeting Abstracts 2022, B22D-1441, 2022 | | 2022 |
Dar A. RobertsProfessor, Department of Geography, UC Santa BarbaraVerified email at geog.ucsb.edu
