Adam Erickson
Adam Erickson
NASA Postdoctoral Program Fellow, NASA Goddard Space Flight Center
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Cited by
Cited by
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
GeoComp-n, an advanced system for generating products from coarse and medium resolution optical satellite data. Part 1: System characterization
M Adair, J Cihlar, B Park, G Fedosejevs, A Erickson, R Keeping, D Stanley, ...
Canadian Journal of Remote Sensing 28 (1), 1-20, 2002
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
Efficient and resilient governance of social–ecological systems
A Erickson
Ambio, 1-10, 2015
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
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
Operational use of AVHRR data for vegetation monitoring in Canada
RJ Brown, KD Korporal, HT Pokrant, A Erickson
Proceedings of International Symposium Operationalization of Remote Sensing …, 1993
rnoaa:’NOAA’Weather Data from R, 2015
S Chamberlain, B Anderson, M Salmon, A Erickson, N Potter, J Stachelek, ...
URL https://CRAN. R-project. org/package= rnoaa. R package version 0.5. 0.[p …, 0
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
Package ‘rnoaa’
S Chamberlain, D Hocking, B Anderson
See http://cran. auckland. ac. nz/web/packages/rnoaa/rnoaa. pdf, 2021
Implementation of the Perfect Plasticity Approximation with biogeochemical compartments in R
A Erickson, N Strigul
Ecography 43 (5), 682-688, 2020
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
A forest biogeochemistry model intercomparison on the East Coast of the United States
A Erickson, N Strigul
bioRxiv, 464578, 2018
Turing biocircuits for biosphere optimization
A Erickson
ResearchGate, 2015
Hypersurface Observation Network (Hyperon) What it is and why we need it
A Erickson, S Kumar, D Hudson, S Stamnes, E Puttonen, S Junttila, S Pirk, ...
AGU Fall Meeting Abstracts 2021, B15G-1499, 2021
Emergence of anthropogenic fire regimes in the southern boreal of Canada
AM Erickson
EarthArXiv, 2021
Bridging knowledge gaps with hybrid machine-learning forest ecosystem models (ML-FEMs): inferential simulation of past understory light regimes
AM Erickson, C Nistchke
EarthArXiv, 2021
Airborne laser scanning proxies of canopy light transmission in forests
AM Erickson, N Coops
EarthArXiv, 2021
Simulated decline of a northern forest due to anthropogenic controls on the regeneration-mortality balance
AM Erickson, C Nistchke, G Stenhouse
EarthArXiv, 2021
Synthetic Spectranomics: Deep learning of surface 3-D geometry, chemistry, and hyperspectra to inform next-generation land models
A Erickson, SV Kumar
AGU Fall Meeting Abstracts 2020, B031-0004, 2020
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