Item talk:Q310032

{

 "USGS Publications Warehouse": {
   "@context": "https://schema.org",
   "@type": "Article",
   "additionalType": "Journal Article",
   "name": "Examining forest structure with terrestrial lidar: Suggestions and novel techniques based on comparisons between scanners and forest treatments",
   "identifier": [
     {
       "@type": "PropertyValue",
       "propertyID": "USGS Publications Warehouse IndexID",
       "value": "70201040",
       "url": "https://pubs.usgs.gov/publication/70201040"
     },
     {
       "@type": "PropertyValue",
       "propertyID": "USGS Publications Warehouse Internal ID",
       "value": 70201040
     },
     {
       "@type": "PropertyValue",
       "propertyID": "DOI",
       "value": "10.1029/2018EA000417",
       "url": "https://doi.org/10.1029/2018EA000417"
     }
   ],
   "journal": {
     "@type": "Periodical",
     "name": "Earth and Space Science",
     "volumeNumber": "5",
     "issueNumber": "11"
   },
   "inLanguage": "en",
   "isPartOf": [
     {
       "@type": "CreativeWorkSeries",
       "name": "Earth and Space Science"
     }
   ],
   "datePublished": "2018",
   "dateModified": "2019-01-28",
   "abstract": "Terrestrial laser scanners (TLSs) provide a tool to assess and monitor forest structure across forest landscapes. We present TLS methods, suggestions, and mapped guidelines for planning TLS acquisitions at varying scales and forest densities. We examined rates of point\u2010density decline with distance from two TLS that acquire data at relatively high and low point density and found that the rates were nearly identical between scanners (pvalue <0.01), suggesting that our findings are applicable to a range of TLS types. Using unique, TLS\u2010adapted processing methods, we determined the relative accuracy of TLS\u2010derived plot\u2010scale estimates of tree height, diameter\u2010at\u2010breast\u2010height, height\u2010to\u2010canopy, tree counts, as well as treatment\u2010scale tree density and patch metrics, using both high point density and low point density TLS among thinned and nonthinned forest treatments. The high\u2010density TLS consistently provides more accurate estimates of plot\u2010level metrics (R2\u00a0=\u00a00.46 to 0.87) than the low\u2010density TLS (R2\u00a0=\u00a0\u22120.14 to 0.53). At treatment scales, tree density estimates are similar among scanners (R2\u00a0=\u00a00.95 vs. 0.71), as are canopy cover and patch metrics. We develop and present the normalized density\u2010distance index (NDDI), which can account for up to 59% of the variance in estimate error and can be used to guide TLS\u2010data acquisition plans. This index indicates whether a given location has generally higher point density (higher NDDI) relative to the distance from the scanner and can be used as a proxy for uncertainty. Using NDDI as a guide for fair comparison between scanners, both plot\u2010 and treatment\u2010scale estimates improved.",
   "description": "14 p.",
   "publisher": {
     "@type": "Organization",
     "name": "AGU Publications"
   },
   "author": [
     {
       "@type": "Person",
       "name": "Sankey, Joel B. jsankey@usgs.gov",
       "givenName": "Joel B.",
       "familyName": "Sankey",
       "email": "jsankey@usgs.gov",
       "identifier": {
         "@type": "PropertyValue",
         "propertyID": "ORCID",
         "value": "0000-0003-3150-4992",
         "url": "https://orcid.org/0000-0003-3150-4992"
       },
       "affiliation": [
         {
           "@type": "Organization",
           "name": "Southwest Biological Science Center",
           "url": "https://www.usgs.gov/centers/southwest-biological-science-center"
         }
       ]
     },
     {
       "@type": "Person",
       "name": "Donager, Jonathon J.",
       "givenName": "Jonathon J.",
       "familyName": "Donager",
       "affiliation": [
         {
           "@type": "Organization",
           "name": "Northern Arizona University, School of Earth Science and Environmental Sustainability, 1295 S. Knoles Drive, PO Box 5695, Flagstaff, AZ 86011"
         }
       ]
     },
     {
       "@type": "Person",
       "name": "Sankey, Temuulen T.",
       "givenName": "Temuulen T.",
       "familyName": "Sankey",
       "affiliation": [
         {
           "@type": "Organization",
           "name": "NAU"
         }
       ]
     },
     {
       "@type": "Person",
       "name": "Sanchez Meadorc, Andrew J.",
       "givenName": "Andrew J.",
       "familyName": "Sanchez Meadorc",
       "affiliation": [
         {
           "@type": "Organization",
           "name": "Northern Arizona University, School of Forestry, 200 East Pine Knoll Drive, PO Box 15018, Flagstaff, AZ  86011"
         }
       ]
     },
     {
       "@type": "Person",
       "name": "Springer, Abraham E.",
       "givenName": "Abraham E.",
       "familyName": "Springer"
     },
     {
       "@type": "Person",
       "name": "Bailey, John D.",
       "givenName": "John D.",
       "familyName": "Bailey"
     }
   ],
   "funder": [
     {
       "@type": "Organization",
       "name": "Southwest Biological Science Center",
       "url": "https://www.usgs.gov/centers/southwest-biological-science-center"
     }
   ]
 }

}