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RAPID: Susquehanna Shale Hills Critical Zone Observatory - The Critical Zone in the Susquehanna River Basin: The Shale Experiment

RAPID: Susquehanna Shale Hills Critical Zone Observatory - The Critical Zone in the Susquehanna River Basin: The Shale Experiment
RAPID:萨斯奎哈纳页岩山关键区观测站 - 萨斯奎哈纳河流域的关键区:页岩实验
批准号:
1037387
负责人:
Christopher Duffy
金额:
$3.36万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-08-01 至 2011-07-31

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中文摘要
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英文摘要
Acquiring airborne LiDAR (Light Detection and Ranging) data for the Critical Zone Observatories (CZOs) will significantly advance research, both within and across the CZOs. Uniformly acquired and processed LiDAR data would stimulate cross‐CZO activities and synthesis surrounding the terrain and canopy information obtained. As a cross-site activity for the National CZO program a LiDAR supplement from the UC Merced CZO has been requested. At the Annual National CZO Meeting, it was made clear that standardized data and ground truth protocols would need to accompany the supplement to ensure that the LiDAR data receive sufficient support to galvanize the research that will use the LiDAR products. It was determined that each local CZO team will do the vegetation ground truth for their site, following protocols developed. Each CZO, then, takes the needed field measurements and provides the data to the PI at UC Merced. The need for a RAPID proposal is that the vegetation ground truth has to be completed before the LIDAR survey in summer 2010.This RAPID request includes the cost of two undergraduate students for three months (full time), necessary field equipment for the vegetation ground truth, and surveyor time for necessary georeference accuracy of vegetation. One graduate student (PhD level) is currently employed and will be provided by theSusquehanna/Shale Hills CZO at no charge to the request.
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Multiscale structural basis of photoprotection in plant light-harvesting proteins
  • 批准号:
    BB/T000023/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $43.86万
  • 财政年份:
    2020
  • 负责人:
    Christopher Duffy
  • 依托单位:
Collaborative Research: Knowledge Guided Machine Learning: A Framework for Accelerating Scientific Discovery
EarthCube Building Blocks: Collaborative Proposal: GeoSoft: Collaborative Open Source Software Sharing for Geosciences
Travel Support for US Scientists: "SCOPE Rapid Assessment Project on Benefits of Soil Carbon"
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