Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Jason Grogan"'
Publikováno v:
Remote Sensing, Vol 14, Iss 19, p 4702 (2022)
The suitability of using Landsat sensor variables to predict key stand attributes, including stand average dominant/codominant tree height (HT), mean diameter at breast height (DBH), the number of trees per hectare (NT), basal area per hectare (BA),
Externí odkaz:
https://doaj.org/article/2936f33befe94f97bc4839e16956f0b7
Publikováno v:
Canadian Journal of Forest Research. 51:807-816
Predicting future stand yield as a function of current stand conditions is important to forest managers. Two machine-learning techniques, gradient boosting (GB) and random forests (RF), were used to predict stand mean height of dominant and codominan
Autor:
Brian P. Oswald, Jeremy P. Stovall, Jason Grogan, Hans M. Williams, Jamie M. Hooker, Yuhui Weng
Publikováno v:
Forest Science. 67:347-355
West Gulf Coastal Plain provenance loblolly (Pinus taeda L.), longleaf (Pinus palustris Mill.), shortleaf (Pinus echinata Mill.), and slash pines (Pinus elliottii Engelm.) were planted in December 2015 on three east Texas sites to compare initial gro
Publikováno v:
Journal of Forestry. 119:152-163
Diameter distribution models are useful tools for forest management planning, in particular for even-aged plantations of important commercial species such as loblolly pine. Using data collected from loblolly pine plantations across East Texas, two di
Publikováno v:
Forest Science. 66:623-633
Growth response to thinning has long been a research topic of interest in forest science. This study presents the first 3–4 years of response of loblolly pine (Pinus taeda L.) growth to thinning at different intensities. Data were collected from th
Publikováno v:
Forests, Vol 12, Iss 1611, p 1611 (2021)
Forests; Volume 12; Issue 12; Pages: 1611
Forests; Volume 12; Issue 12; Pages: 1611
Growth differences between key commercial species and between silvicultural intensities (phases) within a species in a region are of great interest to foresters. This study used modeling methods to investigate these differences in east Texas. Dataset
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b42f894f38bdb339dc2f38d1282de1d
https://hdl.handle.net/10919/106764
https://hdl.handle.net/10919/106764
Publikováno v:
Journal of Forestry. 116:420-428
Autor:
Jimmie L. Yeiser, Jeffrey M. Williams, Daniel Unger, Dean W. Coble, Jason Grogan, I-Kuai Hung, Yanli Zhang
Publikováno v:
Southeastern Naturalist. 15:1-15
We used Landsat satellite imagery to monitor forest-landscape change within a 4-county area (Angelina, Nacogdoches, San Augustin, and Shelby) in East Texas. We consulted images from the Multispectral Scanner (60-m resolution), Thematic Mapper (30-m r
Autor:
Thomas Decker, Shiyou Li, Emily Lozano, John Findeisen, Zushang Su, Olivia LaMaster, Monica McGarrity, Jason Grogan, Ping Wang, Yuhui Weng
Publikováno v:
Scientific Reports, Vol 8, Iss 1, Pp 1-15 (2018)
Scientific Reports
Scientific Reports
Giant salvinia (Salvinia molesta) is one of the most noxious invasive species in the world. The fern is known to have primary, secondary, and tertiary growth forms, which are also commonly hypothesized as growth stages. The identification of these fo
Publikováno v:
Scopus-Elsevier
Land cover maps have been produced using satellite imagery to monitor forest resources since the launch of Landsat 1. Research has shown that stacking leaf-on and leaf-off imagery (combining two separate images into one image for processing) may impr