I-Corps: Using Remote Sensing and Geospatial Data for Informed Climate Adaptation, Mitigation, Resiliency, and Environmentally Friendly Solutions

I-Corps：利用遥感和地理空间数据提供明智的气候适应、减缓、恢复和环境友好解决方案

• 批准号: 2314315
• 负责人: Hamidreza Norouzi
• 金额: $ 5万
• 依托单位: CUNY New York City College of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-02-15 至 2024-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2314315&HistoricalAwards=false
• 关键词: Corps; Using; Remote; Sensing; Geospatial

The broader impact/commercial potential of this I-Corps project is the development of advancements in geophysics and engineering using environmental and geospatial solutions by utilizing models based on remote sensing and other spatial data. This project may impact areas such as urban sustainability, water quality and quantity monitoring, and risk analyses based on natural and climate change. Nowadays, with significant satellite remote sensing observations availability and advances in machine learning and cloud computing, new analyses could inform various stakeholders and policy makers. Satellite data are advantageous because of their spatial (from local up to global scale) and temporal coverage (some from decades ago) which could significantly lower the costs of alternative, ground-based, data collection and processing. Particular topics such as water quality monitoring (including Harmful Algal Bloom (HAB) detection) and identifying a resilient solution for pedestrians during heatwaves using satellite data are among the technology and services to be explored in this project.This I-Corps project is based on the development of high spatial and temporal resolution satellite data products using data processing, machine learning, and validation efforts. The project defines the existing gaps that could be filled with remote sensing and data processing technologies such as: algorithms to statistically develop a high spatio-temporal resolution downscaled satellite data; models to identify cool corridors and open street paths as a resilient solution and response to urban heat islands (UHIs) which will mitigate the adverse health impacts of UHIs; and algorithms for small water-bodies and lakes water quality monitoring using fine resolution satellite imageries.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该I-Corps项目的更广泛的影响/商业潜力是利用基于遥感和其他空间数据的模型，利用环境和地理空间解决方案来发展地球物理和工程的进步。该项目可能会影响城市可持续性，水质和数量监测以及基于自然和气候变化的风险分析。如今，具有大量的卫星遥感观测值以及机器学习和云计算的进步，新的分析可以告知各种利益相关者和政策制定者。卫星数据是有利的，因为它们的空间（从本地到全球范围）和时间覆盖范围（一些几十年前）可能会大大降低替代，基于地面，数据收集和处理的成本。诸如水质监测（包括有害的藻华（HAB）检测）以及使用卫星数据在热浪期间确定行人的弹性解决方案之类的特定主题之一是该项目中要探索的技术和服务之一。此I-Corps项目基于高空间和时间分辨率的卫星数据产品的开发，该项目的开发是利用数据处理产品的开发。该项目定义了可能填充遥感和数据处理技术的现有差距，例如：算法在统计上开发高时空分辨率降低了较高的卫星数据；识别凉爽的走廊和开放街道路径的模型作为弹性的解决方案和对城市热岛（UHI）的反应，这将减轻UHIS的不利健康影响；使用精细分辨率卫星图像进行小型水体和湖泊水质监测的算法。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛的影响评估标准通过评估来获得支持的。