Item talk:Q310401

{

 "USGS Publications Warehouse": {
   "@context": "https://schema.org",
   "@type": "Article",
   "additionalType": "Journal Article",
   "name": "Evaluating lidar point densities for effective estimation of aboveground biomass",
   "identifier": [
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       "value": "70169147",
       "url": "https://pubs.usgs.gov/publication/70169147"
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       "value": 70169147
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   "journal": {
     "@type": "Periodical",
     "name": "International Journal of Advanced Remote Sensing and GIS",
     "volumeNumber": "5",
     "issueNumber": "1"
   },
   "inLanguage": "en",
   "isPartOf": [
     {
       "@type": "CreativeWorkSeries",
       "name": "International Journal of Advanced Remote Sensing and GIS"
     }
   ],
   "datePublished": "2016",
   "dateModified": "2017-05-16",
   "abstract": "The U.S. Geological Survey (USGS) 3D Elevation Program (3DEP) was recently established to provide airborne lidar data coverage on a national scale. As part of a broader research effort of the USGS to develop an effective remote sensing-based methodology for the creation of an operational biomass Essential Climate Variable (Biomass ECV) data product, we evaluated the performance of airborne lidar data at various pulse densities against Landsat 8 satellite imagery in estimating above ground biomass for forests and woodlands in a study area in east-central Arizona, U.S. High point density airborne lidar data, were randomly sampled to produce five lidar datasets with reduced densities ranging from 0.5 to 8 point(s)/m2, corresponding to the point density range of 3DEP to provide national lidar coverage over time. Lidar-derived aboveground biomass estimate errors showed an overall decreasing trend as lidar point density increased from 0.5 to 8 points/m2. Landsat 8-based aboveground biomass estimates produced errors larger than the lowest lidar point density of 0.5 point/m2, and therefore Landsat 8 observations alone were ineffective relative to airborne lidar for generating a Biomass ECV product, at least for the forest and woodland vegetation types of the Southwestern U.S. While a national Biomass ECV product with optimal accuracy could potentially be achieved with 3DEP data at 8 points/m2, our results indicate that even lower density lidar data could be sufficient to provide a national Biomass ECV product with accuracies significantly higher than that from Landsat observations alone.",
   "description": "17 p.",
   "publisher": {
     "@type": "Organization",
     "name": "Cloud Publications"
   },
   "author": [
     {
       "@type": "Person",
       "name": "Wu, Zhuoting zwu@usgs.gov",
       "givenName": "Zhuoting",
       "familyName": "Wu",
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         "value": "0000-0001-7393-1832",
         "url": "https://orcid.org/0000-0001-7393-1832"
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       "affiliation": [
         {
           "@type": "Organization",
           "name": "Office of Land Remote Sensing (Geography)",
           "url": "https://www.usgs.gov/mission-areas/ecosystems"
         },
         {
           "@type": "Organization",
           "name": "Western Geographic Science Center",
           "url": "https://www.usgs.gov/centers/western-geographic-science-center"
         }
       ]
     },
     {
       "@type": "Person",
       "name": "Stoker, Jason M. jstoker@usgs.gov",
       "givenName": "Jason M.",
       "familyName": "Stoker",
       "email": "jstoker@usgs.gov",
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         "value": "0000-0003-2455-0931",
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           "name": "Earth Resources Observation and Science (EROS) Center (Geography)",
           "url": "https://www.usgs.gov/centers/eros"
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           "name": "National Geospatial Program",
           "url": "https://www.usgs.gov/programs/national-geospatial-program"
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       "name": "Dye, Dennis G. ddye@usgs.gov",
       "givenName": "Dennis G.",
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       "name": "Middleton, Barry R. bmiddleton@usgs.gov",
       "givenName": "Barry R.",
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           "name": "Western Geographic Science Center",
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       "@type": "Person",
       "name": "Vogel, John M. jvogel@usgs.gov",
       "givenName": "John M.",
       "familyName": "Vogel",
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       "@type": "Person",
       "name": "Velasco, Miguel G. mvelasco@usgs.gov",
       "givenName": "Miguel G.",
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           "name": "Astrogeology Science Center",
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       "name": "Western Geographic Science Center",
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 }

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