Keely L. Roth
Ecology · 2012–2015
A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Ecology — 22 citations into it; #5,473 of 10,717 by trust here, #9,634 by citations
- Media Technology — 13 citations into it; #2,254 of 3,621 by trust here, #3,192 by citations
- Global and Planetary Change — 8 citations into it; #6,081 of 10,225 by trust here, #9,422 by citations
- Analytical Chemistry — 6 citations into it
- Artificial Intelligence — 6 citations into it
- Statistics and Probability — 6 citations into it
Whom Keely L. Roth trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Philip E. Dennison
- Dar A. Roberts
- R. Fisher
- Jose M. P. Nascimento
- H. Keselman
- Matthew L. Clark
- Ben Somers
- Kerry Halligan
- Kara N. Youngentob
- Seung-Jean Kim
Who trusts Keely L. Roth overall
Papers from Keely L. Roth's perspective
Ordered by how strongly the researchers Keely L. Roth trusts endorse each paper. Same corpus, a different order for every researcher.
- Endmember bundles: a new approach to incorporating endmember variability into spectral mixture analysis (IEEE Transactions on Geoscience and Remote Sensing)
- Hyperspectral discrimination of tropical rain forest tree species at leaf to crown scales
- A comparison of error metrics and constraints for multiple endmember spectral mixture analysis and spectral angle mapper
- Remote sensing of plant functional types. (New Phytologist)
- Endmember selection for multiple endmember spectral mixture analysis using endmember average RMSE
- Vertex component analysis: a fast algorithm to unmix hyperspectral data (IEEE Transactions on Geoscience and Remote Sensing)
- Hyperspectral discrimination of tropical dry forest lianas and trees: Comparative data reduction approaches at the leaf and canopy levels
- Semi-automatic classification of tree species in different forest ecosystems by spectral and geometric variables derived from Airborne Digital Sensor (ADS40) and RC30 data
- A quantitative and comparative analysis of endmember extraction algorithms from hyperspectral data (IEEE Transactions on Geoscience and Remote Sensing)
- MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets
Their papers
- Differentiating plant species within and across diverse ecosystems with imaging spectroscopy (2015) — 87 citations
- Identifying Santa Barbara's urban tree species from AVIRIS imagery using canonical discriminant analysis (2013) — 63 citations
- Comparing endmember selection techniques for accurate mapping of plant species and land cover using imaging spectrometer data (2012) — 107 citations