Evaluating the influence of spatial resolution of Landsat predictors on the accuracy of biomass models for large-area estimation across the eastern USA | Zendy

Ram K. Deo | Zendy; Grant M. Domke | Zendy; Matthew B. Russell | Zendy; Christopher W. Woodall | Zendy; HansErik Andersen | Zendy

Open Access

Evaluating the influence of spatial resolution of Landsat predictors on the accuracy of biomass models for large-area estimation across the eastern USA

Author(s) -

Ram K. Deo,

Grant M. Domke,

Matthew B. Russell,

Christopher W. Woodall,

HansErik Andersen

Publication year - 2018

Publication title -

environmental research letters

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.37

H-Index - 124

ISSN - 1748-9326

DOI - 10.1088/1748-9326/aabcd5

Subject(s) - remote sensing , environmental science , forest inventory , image resolution , satellite , lidar , scale (ratio) , spatial ecology , standard deviation , biomass (ecology) , estimation , pixel , physical geography , geography , cartography , forest management , statistics , geology , computer science , mathematics , oceanography , management , economics , artificial intelligence , aerospace engineering , ecology , engineering , biology , agroforestry , computer vision

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