Collaborative Research: Improving Small Area Population Estimation with High-Resolution Remote Sensing

合作研究:利用高分辨率遥感改进小区域人口估算

基本信息

  • 批准号:
    0822489
  • 负责人:
  • 金额:
    $ 15.46万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2008
  • 资助国家:
    美国
  • 起止时间:
    2008-08-01 至 2013-01-31
  • 项目状态:
    已结题

项目摘要

Small-area population estimates are essential for understanding and responding to many social, political, economic, and environmental problems. The size and distribution of the population often are key determinants for resource allocation for state and local governments. In the United States, detailed population data are only available for one date per decade through the national census. This frequency often does not meet the needs of rapid growth areas like Austin, Texas where noteworthy local inter-censal population changes occur. The overall objective of this project is to develop a cost-effective method to generate detailed (census block level), timely (inter-census) and accurate population estimates. This will be accomplished by development of an improved estimation of housing units in an automatic fashion from emerging high-spatial resolution remote sensing technologies, such as high spatial resolution satellite imagery and Light Detection And Ranging (LiDAR). A conventional Housing Unit (HU) method will then be employed to calculate population counts at census block level. Two separate validations: including a household special census, and comparisons to 2010 Census, will be performed to evaluate the accuracy of population estimates derived from the developed remote sensing methods. This project is intended to synergize previous efforts that separately existed in two fields: remote sensing and population geography, in order to seek solutions for providing timely population estimates at census block level. The research will make significant contributions to the technical advancement of the two fields as well as demonstrate a viable scheme for linking the two fields in addressing population estimation. The proposed method will provide a more cost-effective solution for population projections since the method is mainly driven by remote sensing data as compared to the laboriously collected decennial and survey data of the Census Bureau. In addition, the results of the project will be discussed extensively with city planners and officials from Austin and nearby rapidly growing localities.
小区域人口估计对于理解和应对许多社会、政治、经济和环境问题至关重要。人口的规模和分布往往是州和地方政府资源分配的关键决定因素。在美国,详细的人口数据只能通过全国人口普查每十年一次。这一频率往往不能满足像得克萨斯州奥斯汀这样的快速增长地区的需要,在这些地区,当地两次人口普查之间发生了值得注意的人口变化。该项目的总体目标是制定一种具有成本效益的方法,以产生详细(普查区一级)、及时(普查期间)和准确的人口估计数。这将通过利用新出现的高空间分辨率遥感技术,如高空间分辨率卫星图像和光探测和测距(LiDAR),以自动方式改进对住房单元的估计来实现。然后,将采用传统的住房单位(HU)方法来计算人口普查区一级的人口计数。两次单独确认:将进行包括家庭特别普查在内的人口普查,并与2010年人口普查进行比较,以评价通过开发的遥感方法得出的人口估计数的准确性。该项目的目的是协同以前分别在遥感和人口地理两个领域开展的工作,以寻求解决办法,及时提供普查区一级的人口估计数。该研究将为这两个领域的技术进步做出重大贡献,并展示将这两个领域联系起来解决人口估计问题的可行方案。拟议的方法将为人口预测提供更具成本效益的解决方案,因为与人口普查局费力收集的十年期和调查数据相比,该方法主要由遥感数据驱动。此外,还将与来自奥斯汀和附近迅速发展的地区的城市规划者和官员广泛讨论该项目的结果。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Le Wang其他文献

Terphenyl-based colorless and heat-resistant polyimides with a controlled molecular structure using methyl side groups
基于三联苯的无色耐热聚酰亚胺,具有使用甲基侧基控制的分子结构
  • DOI:
    10.1039/d2py00732k
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Yunzhi Fang;Xiaojie He;Jun-Chen Kang;Le Wang;Tong-Mei Ding;Xuemin Lu;Shu-Yu Zhang;Qinghua Lu
  • 通讯作者:
    Qinghua Lu
Gαs Protein Expression Is an Independent Predictor of Recurrence in Prostate cancer
Gαs 蛋白表达是前列腺癌复发的独立预测因子
Title: Prognostic value of galectin-3 for adverse outcomes in chronic heart failure Short title: Prognostic value of galectin-3
标题:半乳糖凝集素 3 对慢性心力衰竭不良后果的预后价值 短标题:半乳糖凝集素 3 的预后价值
  • DOI:
  • 发表时间:
    2015
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Le Wang;B. Ky;Jeffrey Brandimarto;Anupam Basuray;J. Fang;N. Sweitzer;T. Cappola
  • 通讯作者:
    T. Cappola
Reverse Reconstruction and Bioprinting of Bacterial Cellulose-Based Functional Total Intervertebral Disc for Therapeutic Implantation.
用于治疗性植入的基于细菌纤维素的功能性全椎间盘的逆向重建和生物打印
  • DOI:
    10.1002/smll.201702582
  • 发表时间:
    2018-02
  • 期刊:
  • 影响因子:
    13.3
  • 作者:
    Junchuan Yang;Le Wang;Wei Zhang;Zhen Sun;Ying Li;Mingzhu Yang;Di Zeng;Baogan Peng;Wenfu Zheng;Xingyu Jiang;Guang Yang
  • 通讯作者:
    Guang Yang
OM85-BV Induced the Productions of IL-1b, IL-6, and TNF-a via TLR4- and TLR2-Mediated ERK1/2/NF-kB Pathway in RAW264.7 Cells
OM85-BV 在 RAW264.7 细胞中通过 TLR4 和 TLR2 介导的 ERK1/2/NF-kB 途径诱导 IL-1b、IL-6 和 TNF-a 的产生

Le Wang的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Le Wang', 18)}}的其他基金

Collaborative LTREB: Experimental and Observational Studies of Mangrove Forest Structure and Gap Dynamics
协作 LTREB:红树林结构和间隙动态的实验和观测研究
  • 批准号:
    0810933
  • 财政年份:
    2007
  • 资助金额:
    $ 15.46万
  • 项目类别:
    Standard Grant
Collaborative LTREB: Experimental and Observational Studies of Mangrove Forest Structure and Gap Dynamics
协作 LTREB:红树林结构和间隙动态的实验和观测研究
  • 批准号:
    0614040
  • 财政年份:
    2006
  • 资助金额:
    $ 15.46万
  • 项目类别:
    Standard Grant

相似国自然基金

Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 批准年份:
    2024
  • 资助金额:
    0.0 万元
  • 项目类别:
    省市级项目
Cell Research
  • 批准号:
    31224802
  • 批准年份:
    2012
  • 资助金额:
    24.0 万元
  • 项目类别:
    专项基金项目
Cell Research
  • 批准号:
    31024804
  • 批准年份:
    2010
  • 资助金额:
    24.0 万元
  • 项目类别:
    专项基金项目
Cell Research (细胞研究)
  • 批准号:
    30824808
  • 批准年份:
    2008
  • 资助金额:
    24.0 万元
  • 项目类别:
    专项基金项目
Research on the Rapid Growth Mechanism of KDP Crystal
  • 批准号:
    10774081
  • 批准年份:
    2007
  • 资助金额:
    45.0 万元
  • 项目类别:
    面上项目

相似海外基金

Collaborative Research: Improving Upper Division Physics Education and Strengthening Student Research Opportunities at 14 HSIs in California
合作研究:改善加州 14 所 HSI 的高年级物理教育并加强学生研究机会
  • 批准号:
    2345092
  • 财政年份:
    2024
  • 资助金额:
    $ 15.46万
  • 项目类别:
    Standard Grant
Collaborative Research: Improving Upper Division Physics Education and Strengthening Student Research Opportunities at 14 HSIs in California
合作研究:改善加州 14 所 HSI 的高年级物理教育并加强学生研究机会
  • 批准号:
    2345093
  • 财政年份:
    2024
  • 资助金额:
    $ 15.46万
  • 项目类别:
    Standard Grant
SBP: Collaborative Research: Improving Engagement with Professional Development Programs by Attending to Teachers' Psychosocial Experiences
SBP:协作研究:通过关注教师的社会心理体验来提高对专业发展计划的参与度
  • 批准号:
    2314254
  • 财政年份:
    2023
  • 资助金额:
    $ 15.46万
  • 项目类别:
    Standard Grant
Collaborative Research: Improving Worker Safety by Understanding Risk Compensation as a Latent Precursor of At-risk Decisions
合作研究:通过了解风险补偿作为风险决策的潜在前兆来提高工人安全
  • 批准号:
    2326937
  • 财政年份:
    2023
  • 资助金额:
    $ 15.46万
  • 项目类别:
    Continuing Grant
Collaborative Research: Improving Model Representations of Antarctic Ice-shelf Instability and Break-up due to Surface Meltwater Processes
合作研究:改进地表融水过程导致的南极冰架不稳定和破裂的模型表示
  • 批准号:
    2213704
  • 财政年份:
    2023
  • 资助金额:
    $ 15.46万
  • 项目类别:
    Standard Grant
Collaborative Research: SaTC: CORE: Small: Measuring, Validating and Improving upon App-Based Privacy Nutrition Labels
合作研究:SaTC:核心:小型:测量、验证和改进基于应用程序的隐私营养标签
  • 批准号:
    2247952
  • 财政年份:
    2023
  • 资助金额:
    $ 15.46万
  • 项目类别:
    Standard Grant
Collaborative Research: Reducing Model Uncertainty by Improving Understanding of Pacific Meridional Climate Structure during Past Warm Intervals
合作研究:通过提高对过去温暖时期太平洋经向气候结构的理解来降低模型不确定性
  • 批准号:
    2303568
  • 财政年份:
    2023
  • 资助金额:
    $ 15.46万
  • 项目类别:
    Continuing Grant
Collaborative Research: SitS: Improving Rice Cultivation by Observing Dynamic Soil Chemical Processes from Grain to Landscape Scales
合作研究:SitS:通过观察从谷物到景观尺度的动态土壤化学过程来改善水稻种植
  • 批准号:
    2226647
  • 财政年份:
    2023
  • 资助金额:
    $ 15.46万
  • 项目类别:
    Standard Grant
Collaborative Research: SitS: Improving Rice Cultivation by Observing Dynamic Soil Chemical Processes from Grain to Landscape Scales
合作研究:SitS:通过观察从谷物到景观尺度的动态土壤化学过程来改善水稻种植
  • 批准号:
    2226648
  • 财政年份:
    2023
  • 资助金额:
    $ 15.46万
  • 项目类别:
    Standard Grant
Collaborative Research: SCH: Improving Older Adults' Mobility and Gait Ability in Real-World Ambulation with a Smart Robotic Ankle-Foot Orthosis
合作研究:SCH:使用智能机器人踝足矫形器提高老年人在现实世界中的活动能力和步态能力
  • 批准号:
    2306660
  • 财政年份:
    2023
  • 资助金额:
    $ 15.46万
  • 项目类别:
    Standard Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了