Michael Alonzo

Ecology · 2013–2019

A researcher in the Science corpus: 6 papers; trusts 18 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Ecology — 40 citations into it; #5,293 of 10,717 by trust here, #6,853 by citations
• Environmental Engineering — 37 citations into it
• Nature and Landscape Conservation — 20 citations into it
• Media Technology — 16 citations into it; #3,146 of 3,621 by trust here, #3,318 by citations
• Global and Planetary Change — 15 citations into it; #5,158 of 10,225 by trust here, #6,266 by citations
• Insect Science — 13 citations into it
• Ecological Modeling — 9 citations into it
• Analytical Chemistry — 7 citations into it

Whom Michael Alonzo trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ruiliang Pu
2. Michele Dalponte
3. Hans Ole Ørka
4. Dar A. Roberts
5. Tomas Brandtberg
6. Matthew L. Clark
7. Jonathan P. Dandois
8. Erik Næsset
9. Desheng Liu
10. Keely L. Roth

Who trusts Michael Alonzo overall

1. Luis Gómez-Chova
2. Kate S. He
3. Hans-Erik Andersen
4. Bodo Bookhagen
5. Dar A. Roberts
6. Devis Tuia
7. Douglas C. Morton

Papers from Michael Alonzo's perspective

Ordered by how strongly the researchers Michael Alonzo trusts endorse each paper. Same corpus, a different order for every researcher.

1. Hyperspectral discrimination of tropical rain forest tree species at leaf to crown scales
2. High spatial resolution three-dimensional mapping of vegetation spectral dynamics using computer vision
3. Classifying species of individual trees by intensity and structure features derived from airborne laser scanner data
4. Practical large-scale forest stand inventory using a small-footprint airborne scanning laser
5. Multi-resolution, object-oriented fuzzy analysis of remote sensing data to GIS ready information (Research on computing science)
6. Pattern classification and scene analysis
7. Remote sensing of plant functional types. (New Phytologist)
8. Identifying Santa Barbara's urban tree species from AVIRIS imagery using canonical discriminant analysis
9. THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS
10. MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets

Their papers

• Validation of ICESat-2 ATLAS Bathymetry and Analysis of ATLAS's Bathymetric Mapping Performance (2019) — 354 citations
• Quantifying Boreal Forest Structure and Composition Using UAV Structure from Motion (2018) — 110 citations
• Geostatistical estimation of forest biomass in interior Alaska combining Landsat-derived tree cover, sampled airborne lidar and field observations (2017) — 60 citations
• Differentiating plant species within and across diverse ecosystems with imaging spectroscopy (2015) — 87 citations
• Urban tree species mapping using hyperspectral and lidar data fusion (2014) — 486 citations
• Identifying Santa Barbara's urban tree species from AVIRIS imagery using canonical discriminant analysis (2013) — 63 citations