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 | 187 | 2021 |
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 the Photogrammetry, Remote Sensing and Spatial Information …, 2016 | 31 | 2016 |
Efficient and resilient governance of social–ecological systems A Erickson Ambio, 1-10, 2015 | 24 | 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 | 18 | 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 | 9 | 2015 |
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 | 5 | 2019 |
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 | 4 | |
Package ‘rnoaa’ S Chamberlain, D Hocking, B Anderson | 3 | 2023 |
Implementation of the perfect plasticity approximation with biogeochemical compartments in R A Erickson, N Strigul Ecography 43 (5), 682-688, 2020 | 2 | 2020 |
Turing biocircuits for biosphere optimization A Erickson ResearchGate, 2015 | 2 | 2015 |
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 |
Hypersurface Observation Network (Hyperon)—What It Is and Why We Need It A Erickson, SV Kumar, DL Hudson, S Stamnes, E Puttonen, S Junttila, ... 2021 AGU Fall Meeting, 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 |
NASA Earth: Synthetic Spectranomics-Deep Learning of Surface 3-D Geometry, Chemistry, and Hyperspectra to Inform Next-generation Land Models A Erickson, S Kumar AGU Fall Meeting, 2020 | | 2020 |
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 |
A software framework for optimizing the design of spaceborne hyperspectral imager architectures A Erickson, B Poulter, DR Thompson, G Okin, S Serbin 2020 EGU Virtual Meeting, 2020 | | 2020 |