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Filters: Collection: "ir_etd" Subject: "Forestry"
1 - 25 of 2
| Author | Title | Subject | Date | Publication Type | ||
|---|---|---|---|---|---|---|
| 1 |
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Cate, Nolan Randolph | A fully convolutional deep learning approach for using C-Band satellite radar imagery for forest biomass estimation | Geography; Computer science; Biomass; Deep learning; Forestry; Machine learning; Neural networks; SAR | 2019 | thesis |
| 2 |
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Wenrich, Erika Ann | Quantifying drought-induced changes in green vegetation fraction and classification accuracy using hyperspectral data for the Central Sierra Nevada, California | Geography; Forestry; Remote sensing | 2017 | thesis |
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