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 | 66 | 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 | 25 | 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 | 19 | 2016 |
Efficient and resilient governance of social–ecological systems A Erickson Ambio, 1-10, 2015 | 18 | 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 | 14 | 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 | 7 | 1993 |
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 | 6 | 2015 |
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 | 5 | |
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 | 4 | 2019 |
Package ‘rnoaa’ S Chamberlain, D Hocking, B Anderson See http://cran. auckland. ac. nz/web/packages/rnoaa/rnoaa. pdf, 2021 | 3 | 2021 |
Implementation of the Perfect Plasticity Approximation with biogeochemical compartments in R A Erickson, N Strigul Ecography 43 (5), 682-688, 2020 | 1 | 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 | 1 | 2018 |
A forest biogeochemistry model intercomparison on the East Coast of the United States A Erickson, N Strigul bioRxiv, 464578, 2018 | 1 | 2018 |
Turing biocircuits for biosphere optimization A Erickson ResearchGate, 2015 | 1 | 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 | | 2021 |
Emergence of anthropogenic fire regimes in the southern boreal of Canada AM Erickson EarthArXiv, 2021 | | 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 | | 2021 |
Airborne laser scanning proxies of canopy light transmission in forests AM Erickson, N Coops EarthArXiv, 2021 | | 2021 |
Simulated decline of a northern forest due to anthropogenic controls on the regeneration-mortality balance AM Erickson, C Nistchke, G Stenhouse EarthArXiv, 2021 | | 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 | | 2020 |