Inventory of forest and rangeland resources, including forest stress
There are no author-identified significant results in this report.
Heller, R. C.↗
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Inventory of forest and rangeland resources, including forest stress
There are no author-identified significant results in this report.
Heller, R. C.↗
Inventory of forest and rangeland resources, including forest stress
There are no author-identified significant results in this report.
Heller, R. C.↗
Inventory of forest and rangeland and detection of forest stress
There are no author-identified significant results in this report.
Heller, R. C.↗
Inventory of forest and rangeland resources, including forest stress
There are no author-identified significant results in this report.
Heller, R. C.↗
Inventory of forest and rangeland resources, including forest stress
There are no author-identified significant results in this report.
Aldrich, R. C.↗
Inventory of forest and rangeland resources, including forest stress
There are no author-identified significant results in this report.
Aldrich, R. C.↗
Inventory of forest and rangeland resources, including forest stress
There are no author-identified significant results in this report.
Aldrich, R. C.↗
Inventory of forest and rangeland resources, including forest stress
There are no author-identified significant results in this report.
Aldrich, R. C.↗
Development of remote sensing technology in New Zealand, part 1. Seismotectonic, structural, volcanologic and geomorphic study of New Zealand, part 2. Indigenous forest assessment, part 3. Mapping land use and environmental studies in New Zealand, Part 4. New Zealand forest service LANDSAT projects, part 5. Geographical applications in LANDSAT mapping: Landuse mapping and environmental studies, part 6
There are no author-identified significant results in this report.
Probine, M. C.↗
Forest land management by satellite: LANDSAT-derived information as input to a forest inventory system
The author has identified the following significant results. Analysis of LANDSAT temporal data, specifically the digitally merged winter and summer scenes, provided the best overall classification results. Comparison of temporal classification results with available ground truth reveal a 94% agreement in the delineation of hardwood categories, a 96% agreement for the combined pine category, and a greater than 50% agreement for each individual pine subcategory. For nearly 1000 acres, compared clearcut acreage estimated with LANDSAT digital data differed from company inventory records by only 3%. Through analysis of summer data, pine stands were successfully classified into subcategories based upon the extent of crown closure. Maximum spectral separability of hardwood and pine stands was obtained from the analysis of winter data.
Williams, D. L.↗
Cherokee Water Resources: Mapping Forest Health and Hemlock Tree Composition Using NASA Earth Observations to Enhance Drought and Watershed Health-Related Forest Management for the Eastern Band of the Cherokee Indians
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Water Resources↗
Mark Twain National Forest Ecological Forecasting: Using NASA Earth Observations to Classify Ground Cover Types in the Mark Twain National Forest
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Kaitlyn Bretz↗
Gila National Forest Water Resources III - Modeling Mid-term Impacts of Wildfire Restoration Methods on the Vegetation Recovery and Hydrologic Processes in Gila National Forest
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DEVELOP Presentation↗
Mapping Inundation Below the Forest Canopy in the Maya Tri-National Forest
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Stephanie Jimenez↗
Carbon on the Front Range Impacts of Forest Management and Wildfire on Forest Carbon Storage: 2020 Cal-Wood Fire, Colorado
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Sarah Hettema↗
Sierra Nevada reference conditions: A dataset of contemporary reference sites and corresponding remote sensing-derived forest structure metrics for yellow pine and mixed-conifer forests
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Caden P. Chamberlain↗
Local variability in the timing and intensity of tropical dry forest deciduousness is explained by differences in forest stand age
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Nicholas Cuba↗