Inventory of Wintering Geese with a Multispectral Scanner
We used a multispectral scanner with an instantaneous-field-of-view (IFOV) that was larger than a goose to inventory winter concentrations of lesser snow geese (Chen caerulescens) on a water background. A simple linear mixture model of the image-forming process was inverted to estimate the proportio...
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| Veröffentlicht in: | The Journal of wildlife management 1991-04, Vol.55 (2), p.250-259 |
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| container_title | The Journal of wildlife management |
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| creator | Strong, Laurence L. Gilmer, David S. Brass, James A. |
| description | We used a multispectral scanner with an instantaneous-field-of-view (IFOV) that was larger than a goose to inventory winter concentrations of lesser snow geese (Chen caerulescens) on a water background. A simple linear mixture model of the image-forming process was inverted to estimate the proportion of the IFOV covered by geese. The mixture model prediction of the number of geese was 2% less than a manual count of geese on aerial photographs acquired simultaneously. We suggest that it is possible to inventory white geese and dark geese in mixed concentrations on water from visible and shortwave infrared reflectance measurements. Shortwave infrared (1,420-2,440 nm) reflectance measurements may be used to discriminate among dark species of geese. |
| doi_str_mv | 10.2307/3809147 |
| format | Article |
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A simple linear mixture model of the image-forming process was inverted to estimate the proportion of the IFOV covered by geese. The mixture model prediction of the number of geese was 2% less than a manual count of geese on aerial photographs acquired simultaneously. We suggest that it is possible to inventory white geese and dark geese in mixed concentrations on water from visible and shortwave infrared reflectance measurements. Shortwave infrared (1,420-2,440 nm) reflectance measurements may be used to discriminate among dark species of geese.</description><identifier>ISSN: 0022-541X</identifier><identifier>EISSN: 1937-2817</identifier><identifier>DOI: 10.2307/3809147</identifier><identifier>CODEN: JWMAA9</identifier><language>eng</language><publisher>Bethesda, MD: The Wildlife Society</publisher><subject>Animal populations ; Animal, plant and microbial ecology ; Aquatic birds ; Biological and medical sciences ; Birds ; Chen caerulescens ; Flocks ; Fundamental and applied biological sciences. 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A simple linear mixture model of the image-forming process was inverted to estimate the proportion of the IFOV covered by geese. The mixture model prediction of the number of geese was 2% less than a manual count of geese on aerial photographs acquired simultaneously. We suggest that it is possible to inventory white geese and dark geese in mixed concentrations on water from visible and shortwave infrared reflectance measurements. Shortwave infrared (1,420-2,440 nm) reflectance measurements may be used to discriminate among dark species of geese.</description><subject>Animal populations</subject><subject>Animal, plant and microbial ecology</subject><subject>Aquatic birds</subject><subject>Biological and medical sciences</subject><subject>Birds</subject><subject>Chen caerulescens</subject><subject>Flocks</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Geese</subject><subject>Infrared reflection</subject><subject>Modeling</subject><subject>Pixels</subject><subject>Reflectance</subject><subject>Remote sensing</subject><subject>Sensors</subject><subject>Spectral reflectance</subject><subject>Waterfowl</subject><subject>Wavelengths</subject><subject>Wildlife conservation</subject><issn>0022-541X</issn><issn>1937-2817</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1991</creationdate><recordtype>article</recordtype><recordid>eNp1kE1Lw0AQhhdRsFbxLwQRPUV3dvO1RylaCxUPKnoLk82spqSbupso_feutCgInmYOz_sy8zB2DPxCSJ5fyoIrSPIdNgIl81gUkO-yEedCxGkCL_vswPsF5xKgyEZMzewH2b5z66gz0XNje3KNfY2mRJ6iz6Z_izC6G9q-8SvSvcM2etBoLblDtmew9XS0nWP2dHP9OLmN5_fT2eRqHmspVR8jpAoRatBUSTK8EklOaDRwjVobk6k6rSoUNSpjagNhFZTrKoUE0yJkxuxs07ty3ftAvi-XjdfUtmipG3wJWXgtUxDAkz_gohucDbeVQiZCCi6KAJ1vIO067x2ZcuWaJbp1Cbz89ldu_QXydFuHXmNrHFrd-B88uJRcFr_YwgeL_7Z9AQQieoA</recordid><startdate>19910401</startdate><enddate>19910401</enddate><creator>Strong, Laurence L.</creator><creator>Gilmer, David S.</creator><creator>Brass, James A.</creator><general>The Wildlife Society</general><general>Wildlife Society</general><general>Blackwell Publishing Ltd</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QG</scope><scope>7QL</scope><scope>7SN</scope><scope>7ST</scope><scope>7T7</scope><scope>7U6</scope><scope>7U9</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H94</scope><scope>M7N</scope><scope>P64</scope><scope>F1W</scope><scope>H95</scope><scope>L.G</scope></search><sort><creationdate>19910401</creationdate><title>Inventory of Wintering Geese with a Multispectral Scanner</title><author>Strong, Laurence L. ; Gilmer, David S. ; Brass, James A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c339t-a159aa1d1ceb3ef0b247eafc10caccff69d5bba2da9ffdf1ba22e7cb514a58eb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1991</creationdate><topic>Animal populations</topic><topic>Animal, plant and microbial ecology</topic><topic>Aquatic birds</topic><topic>Biological and medical sciences</topic><topic>Birds</topic><topic>Chen caerulescens</topic><topic>Flocks</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Geese</topic><topic>Infrared reflection</topic><topic>Modeling</topic><topic>Pixels</topic><topic>Reflectance</topic><topic>Remote sensing</topic><topic>Sensors</topic><topic>Spectral reflectance</topic><topic>Waterfowl</topic><topic>Wavelengths</topic><topic>Wildlife conservation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Strong, Laurence L.</creatorcontrib><creatorcontrib>Gilmer, David S.</creatorcontrib><creatorcontrib>Brass, James A.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Sustainability Science Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 1: Biological Sciences & Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>The Journal of wildlife management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Strong, Laurence L.</au><au>Gilmer, David S.</au><au>Brass, James A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Inventory of Wintering Geese with a Multispectral Scanner</atitle><jtitle>The Journal of wildlife management</jtitle><date>1991-04-01</date><risdate>1991</risdate><volume>55</volume><issue>2</issue><spage>250</spage><epage>259</epage><pages>250-259</pages><issn>0022-541X</issn><eissn>1937-2817</eissn><coden>JWMAA9</coden><abstract>We used a multispectral scanner with an instantaneous-field-of-view (IFOV) that was larger than a goose to inventory winter concentrations of lesser snow geese (Chen caerulescens) on a water background. A simple linear mixture model of the image-forming process was inverted to estimate the proportion of the IFOV covered by geese. The mixture model prediction of the number of geese was 2% less than a manual count of geese on aerial photographs acquired simultaneously. We suggest that it is possible to inventory white geese and dark geese in mixed concentrations on water from visible and shortwave infrared reflectance measurements. Shortwave infrared (1,420-2,440 nm) reflectance measurements may be used to discriminate among dark species of geese.</abstract><cop>Bethesda, MD</cop><pub>The Wildlife Society</pub><doi>10.2307/3809147</doi><tpages>10</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0022-541X |
| ispartof | The Journal of wildlife management, 1991-04, Vol.55 (2), p.250-259 |
| issn | 0022-541X 1937-2817 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_16022691 |
| source | JSTOR Archive Collection A-Z Listing |
| subjects | Animal populations Animal, plant and microbial ecology Aquatic birds Biological and medical sciences Birds Chen caerulescens Flocks Fundamental and applied biological sciences. Psychology Geese Infrared reflection Modeling Pixels Reflectance Remote sensing Sensors Spectral reflectance Waterfowl Wavelengths Wildlife conservation |
| title | Inventory of Wintering Geese with a Multispectral Scanner |
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