Nationwide forestry applications program. Ten-Ecosystem Study (TES) site 6, Fort Yukon, Alaska
The author has identified the following significant results. Analysis of the processing results has led to the following conclusions: (1) LANDSAT imagery was a reliable resource for the stratification of level 2 forest features (softwood, hardwood, tundra, and water). These features can be classifie...
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ftnasantrs:oai:casi.ntrs.nasa.gov:19790012281 2023-05-15T18:40:18+02:00 Nationwide forestry applications program. Ten-Ecosystem Study (TES) site 6, Fort Yukon, Alaska Ward, J. F. Edwards, B. F. Unclassified, Unlimited, Publicly available Dec 1, 1978 application/pdf http://hdl.handle.net/2060/19790012281 unknown Document ID: 19790012281 Accession ID: 79N20452 http://hdl.handle.net/2060/19790012281 No Copyright CASI EARTH RESOURCES AND REMOTE SENSING E79-10181 NASA-CR-160131 LEC-12567 JSC-12693 1978 ftnasantrs 2019-07-21T10:44:31Z The author has identified the following significant results. Analysis of the processing results has led to the following conclusions: (1) LANDSAT imagery was a reliable resource for the stratification of level 2 forest features (softwood, hardwood, tundra, and water). These features can be classified with an accuracy of 72.4 percent + or - 5.9 percent at the 90 percent confidence level. (2) Training fields selected for signature development from only 10 percent of the area did not adequately and efficiently cover the class variability for the entire area. (3) Derived regression transformations were ineffective in recovering the loss of level 1 forest proportions and level 2 softwood and hardwood proportions. Other/Unknown Material Tundra Alaska Yukon NASA Technical Reports Server (NTRS) Yukon |
institution |
Open Polar |
collection |
NASA Technical Reports Server (NTRS) |
op_collection_id |
ftnasantrs |
language |
unknown |
topic |
EARTH RESOURCES AND REMOTE SENSING |
spellingShingle |
EARTH RESOURCES AND REMOTE SENSING Ward, J. F. Edwards, B. F. Nationwide forestry applications program. Ten-Ecosystem Study (TES) site 6, Fort Yukon, Alaska |
topic_facet |
EARTH RESOURCES AND REMOTE SENSING |
description |
The author has identified the following significant results. Analysis of the processing results has led to the following conclusions: (1) LANDSAT imagery was a reliable resource for the stratification of level 2 forest features (softwood, hardwood, tundra, and water). These features can be classified with an accuracy of 72.4 percent + or - 5.9 percent at the 90 percent confidence level. (2) Training fields selected for signature development from only 10 percent of the area did not adequately and efficiently cover the class variability for the entire area. (3) Derived regression transformations were ineffective in recovering the loss of level 1 forest proportions and level 2 softwood and hardwood proportions. |
format |
Other/Unknown Material |
author |
Ward, J. F. Edwards, B. F. |
author_facet |
Ward, J. F. Edwards, B. F. |
author_sort |
Ward, J. F. |
title |
Nationwide forestry applications program. Ten-Ecosystem Study (TES) site 6, Fort Yukon, Alaska |
title_short |
Nationwide forestry applications program. Ten-Ecosystem Study (TES) site 6, Fort Yukon, Alaska |
title_full |
Nationwide forestry applications program. Ten-Ecosystem Study (TES) site 6, Fort Yukon, Alaska |
title_fullStr |
Nationwide forestry applications program. Ten-Ecosystem Study (TES) site 6, Fort Yukon, Alaska |
title_full_unstemmed |
Nationwide forestry applications program. Ten-Ecosystem Study (TES) site 6, Fort Yukon, Alaska |
title_sort |
nationwide forestry applications program. ten-ecosystem study (tes) site 6, fort yukon, alaska |
publishDate |
1978 |
url |
http://hdl.handle.net/2060/19790012281 |
op_coverage |
Unclassified, Unlimited, Publicly available |
geographic |
Yukon |
geographic_facet |
Yukon |
genre |
Tundra Alaska Yukon |
genre_facet |
Tundra Alaska Yukon |
op_source |
CASI |
op_relation |
Document ID: 19790012281 Accession ID: 79N20452 http://hdl.handle.net/2060/19790012281 |
op_rights |
No Copyright |
_version_ |
1766229611884052480 |