Artigo Revisado por pares

Identifying Gypsy Moth Defoliation in Ohio Using Landsat Data

2004; Geological Society of America; Volume: 10; Issue: 4 Linguagem: Inglês

10.2113/10.4.321

ISSN

1558-9161

Autores

Angela Lorraine Hurley, Doyle R. Watts, Brian J. Burke, Chris Richards,

Tópico(s)

Ecology and Vegetation Dynamics Studies

Resumo

Research Article| April 01, 2004 Identifying Gypsy Moth Defoliation in Ohio Using Landsat Data ANGELA HURLEY; ANGELA HURLEY 1The Payne Firm, Inc., Cincinnati, OH 45242 Department of Geological Sciences, Wright State University, Dayton, OH 45435 Search for other works by this author on: GSW Google Scholar DOYLE WATTS; DOYLE WATTS 2Department of Geological Sciences, Wright State University, Dayton, OH 45435 Search for other works by this author on: GSW Google Scholar BRIAN BURKE; BRIAN BURKE 3Gypsy Moth Program, Division of Plant Industry, Ohio Department of Agriculture, Reynoldsburg, OH 43068 Search for other works by this author on: GSW Google Scholar CHRIS RICHARDS CHRIS RICHARDS 3Gypsy Moth Program, Division of Plant Industry, Ohio Department of Agriculture, Reynoldsburg, OH 43068 Search for other works by this author on: GSW Google Scholar Author and Article Information ANGELA HURLEY 1The Payne Firm, Inc., Cincinnati, OH 45242 Department of Geological Sciences, Wright State University, Dayton, OH 45435 DOYLE WATTS 2Department of Geological Sciences, Wright State University, Dayton, OH 45435 BRIAN BURKE 3Gypsy Moth Program, Division of Plant Industry, Ohio Department of Agriculture, Reynoldsburg, OH 43068 CHRIS RICHARDS 3Gypsy Moth Program, Division of Plant Industry, Ohio Department of Agriculture, Reynoldsburg, OH 43068 Publisher: Association of Environmental & Engineering Geologists First Online: 02 Mar 2017 Online ISSN: 1558-9161 Print ISSN: 1078-7275 Copyright © 2004 Geological Society of America Environmental & Engineering Geoscience (2004) 10 (4): 321–328. https://doi.org/10.2113/10.4.321 Article history First Online: 02 Mar 2017 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Search Site Citation ANGELA HURLEY, DOYLE WATTS, BRIAN BURKE, CHRIS RICHARDS; Identifying Gypsy Moth Defoliation in Ohio Using Landsat Data. Environmental & Engineering Geoscience 2004;; 10 (4): 321–328. doi: https://doi.org/10.2113/10.4.321 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietyEnvironmental & Engineering Geoscience Search Advanced Search Abstract The gypsy moth is one of the most devastating forest pests in North America. The Ohio Department of Agriculture, in common with other state agencies involved in the Gypsy Moth Suppression Program, uses aerial sketch mapping each year to map gypsy moth damage. We compare results obtained from Landsat 5 and Landsat 7 to locations determined by aerial sketch mapping to locate gypsy moth infestations in Ohio. The haze-corrected ratio of Landsat band 4 (near infrared) to band 3 (red) detects changes of leaf area. We subtract the ratio values from two dates to determine the change. As in previous studies, we search for the defoliation caused by the gypsy moth by subtracting the ratio values of frames acquired in early June and late June. Unlike previous studies, we use the subsequent refoliation that takes place between late June and late July as part of the signal. This is seen as large positive ratio subtraction values between early June and late June and large negative ratio subtraction values between late June and late July. Pixels that exhibit these attributes are candidates for gypsy moth defoliation. The use of three frames to analyze both defoliation and subsequent refoliation results in a stronger, less ambiguous signal of gypsy moth damage and pinpoints the locations of the most severe defoliation. The most severe defoliation often marks the location of egg masses. Although we reduced the ambiguity caused by agricultural anomalies, this procedure also detected areas with significant wild grapevine infestations. You do not have access to this content, please speak to your institutional administrator if you feel you should have access.

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