Adam Erickson
Adam Erickson
Postdoctoral Researcher, Department of Mathematics and Statistics, Washington State University
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引用先
引用先
Efficient and resilient governance of social–ecological systems
A Erickson
Ambio, 1-10, 2015
142015
Object-based coregistration of terrestrial photogrammetric and als point clouds in forested areas
P Polewski, A Erickson, W Yao, N Coops, P Krzystek, U Stilla
ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information …, 2016
122016
Past-century decline in forest regeneration potential across a latitudinal and elevational gradient in Canada
A Erickson, C Nitschke, N Coops, S Cumming, G Stenhouse
Ecological Modelling 313, 94-102, 2015
102015
Nested localized institutions for adaptive co-management: A history of state watershed management in the Pacific Region of the United States
A Erickson
Society & Natural Resources 28 (1), 93-108, 2015
62015
A forest model intercomparison framework and application at two temperate forests along the East Coast of the United States
A Erickson, N Strigul
Forests 10 (2), 180, 2019
22019
Package ‘rnoaa’
S Chamberlain, B Anderson, M Salmon, A Erickson, N Potter, J Stachelek, ...
22016
TBM Gym: A toolkit for developing and comparing terrestrial biosphere models and non-convex optimization algorithms
AM Erickson, N Strigul
AGU Fall Meeting Abstracts 2018, B41N-2915, 2018
12018
A forest biogeochemistry model intercomparison on the East Coast of the United States
A Erickson, N Strigul
bioRxiv, 464578, 2018
12018
Turing biocircuits for biosphere optimization
A Erickson
ResearchGate, 2015
12015
NASA's surface biology and geology designated observable: A perspective on surface imaging algorithms
K Cawse-Nicholson, PA Townsend, D Schimel, AM Assiri, PL Blake, ...
Remote Sensing of Environment 257, 112349, 2021
2021
Deep learning of canopy geometry, chemistry, and hyperspectral reflectance from multispectral imagery to inform next-generation land models
A Erickson, SV Kumar
AGU Fall Meeting 2020, 2020
2020
Machine-learning emulation of a forest biogeochemistry model for efficient biosphere optimization
N Strigul, A Erickson
EGU General Assembly Conference Abstracts, 19744, 2020
2020
A software framework for optimizing the design of spaceborne hyperspectral imager architectures
A Erickson, B Poulter, D Thompson, G Okin, S Serbin, W Wang, D Schimel
EGU General Assembly Conference Abstracts, 19665, 2020
2020
Implementation of the Perfect Plasticity Approximation with biogeochemical compartments in R
A Erickson, N Strigul
Ecography 43 (5), 682-688, 2020
2020
A software framework for rapid prototyping of artificial intelligence in Earth system models: the SORTIE-NG approach
A Erickson, N Strigul
AGU Fall Meeting Abstracts 2019, IN43A-02, 2019
2019
Validation of a simple biogeochemistry variant of SORTIE-PPA in two temperate forests using the Erde modeling framework.
A Erickson, N Strigul
Geophysical Research Abstracts 21, 2019
2019
Ecosystem Model Comparison at Multiple Scales and Sites
MS Lucash, AM Erickson, R Scheller, N Strigul
AGU Fall Meeting Abstracts 2018, B51J-2082, 2018
2018
A soil water balance shift is driving directional change in northern forests
A Erickson, C Nitschke, NC Coops, S Cumming, G Stenhouse
AGU Fall Meeting Abstracts 2014, B22A-02, 2014
2014
Package ‘rnoaa’
H Edmund, S Chamberlain, K Ram, MH Edmund
2014
A Comparative Analysis of State-Level Watershed Management Frameworks in the Pacific Northwest
A Erickson
University of Oregon, 2011
2011
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論文 1–20