Distinguishing Early Successional Plant Communities Using Ground-Level Hyperspectral Data
نویسندگان
چکیده
منابع مشابه
Distinguishing Early Successional Plant Communities Using Ground-Level Hyperspectral Data
Abandoned agricultural fields have recently become more abundant in the U.S. and remain susceptible to species invasions after cultivation disturbance. As invasive species become more widespread with increases in anthropogenic activities, we need more effective ways to use limited resources for conservation of native ecosystems. Remote sensing can help us monitor the spread and effects of invas...
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Weeds are a severe pest in agriculture, causing extensive yield loss. Weed control of grass and broadleaf weeds is commonly performed by applying selective herbicides homogeneously all over the field. As presented in several studies, applying the herbicide only where needed has economical as well as environmental benefits. Combining remote sensing tools and techniques with the concept of precis...
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Advances in remote sensing technology can help estimate biodiversity at large spatial extents. To assess whether we could use hyperspectral visible near-infrared (VNIR) spectra to estimate species diversity, we examined the correlations between species diversity and spectral diversity in early-successional abandoned agricultural fields in the Ridge and Valley ecoregion of north-central Virginia...
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Plant communities differ in their species composition, and, thus, also in their functional trait composition, at different stages in the succession from arable fields to grazed grassland. We examine whether aerial hyperspectral (414–2501 nm) remote sensing can be used to discriminate between grazed vegetation belonging to different grassland successional stages. Vascular plant species were reco...
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JOHN L. ORROCK, DOUGLAS J. LEVEY*, BRENT J. DANIELSON† and ELLEN I. DAMSCHEN‡ Ecology and Evolutionary Interdepartmental Graduate Program, 353 Bessey Hall, Iowa State University, Ames, IA 50011, USA, * Department of Zoology, University of Florida, Gainesville, FL 32611-8525, USA, † Ecology, Evolution, and Organismal Biology Department, Iowa State University, Ames, IA 50011, USA, and ‡ Departmen...
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ژورنال
عنوان ژورنال: Remote Sensing
سال: 2015
ISSN: 2072-4292
DOI: 10.3390/rs71215850