CHABMAP (Cyanobacterial Harmful Algal Bloom Mapping and Analyses Platform) technology automates the quantification of toxic CyanoHABs exposure epochs for any waterbody.

CHABMAP（蓝藻有害藻华绘图和分析平台）技术可自动量化任何水体的有毒 CyanoHAB 暴露时间。

• 批准号: 9906581
• 负责人: Nathan Torbick
• 金额: $ 50.42万
• 依托单位: APPLIED GEOSOLUTIONS, LLC
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-01-15 至 2022-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9906581
• 关键词: Address; Algae; Amyotrophic Lateral Sclerosis; Archives; Big Data; Centers for Disease Control and Prevention (U.S.); Chlorophyll; Clinic; Color; Communication; Computer software; Custom; Cyanobacterium; Data; Development; Environment; Epidemiology; Etiology; Frequencies; Genes; Geography; Machine Learning; Measurement; Medical center; Molecular Biology; Monitor; Neurodegenerative Disorders; Neurodevelopmental Disorder; Neuromuscular Diseases; North America; Outcome; Patients; Phase; Planets; Poison; Public Health; Public Health Applications Research; Recording of previous events; Registries; Research; Resolution; Retrieval; Risk Assessment; Risk Factors; Role; Sentinel; Services; Solid; Stream; System; Techniques; Technology; Time; Toxic effect; Toxin; United States National Aeronautics and Space Administration; United States National Institutes of Health; Universities; Work; application programming interface; base; cloud based; data exchange; design; disease registry; drug development; drug discovery; harmful algal blooms; image processing; indexing; innovation; nervous system disorder; parallelization; population based; remote sensing; spatiotemporal; support tools

Specific Aim #1: Operationalize spatio-temporal CyanoHAB exposure epoch metrics • Fuse multi-scale and disparate satellite remote sensing platforms and automate retrievals over space and time to derive CyanoHAB exposure metrics. We will build enterprise software to fully automate the harmonization and fusion of NASA’s Landsat-8 OLI and ESA’s Sentinel-2 and Sentinel-3 satellite platforms to provide long-term (1984-present) moderate spatial resolution (30meter pixels) and high temporal frequency CyanoHAB exposure metrics (Cyanobacteria Intensity, Color Dissolved Organic Matter, Total Suspended Solids, Floating Algae Index, Chlorophyll-a Concentration, & toxins). The decision support tool automates epoch synthesis to understand incubation periods and exposure triggers for neurodegenerative diseases. Specific Aim #2: Scale on-demand CHABMAP commercial product services • Scale and implement CHABMAP data services for infinite scalability using BigData cloud technologies. This Aim involves three main development efforts: adapting our proprietary Geospatial Image and Processing System (GIPS) capabilities to an AWS-deployable auto-scaling cluster, creation of user interfaces and application programming interfaces (APIs) to interact with these services, and enhancements to the base GIPS framework to facilitate intercommunication between remote GIPS-enabled archives and the cloud processing streams. This includes the creation of deployable compute instances, optimization of computation and parallelization specific to AWS deployment, optimization of temporary and long-term storage of intermediate products, and optimization of communication and data transfer with end users. Ultimately, this Aim will allow for the assessment and monitoring of CyanoHAB conditions for any waterbody or region (i.e., North America) on the planet. Specific Aim #3: Execute risk assessment frameworks with public health partners • We will work in partnership with Cleveland Clinic, Dartmouth Hitchcock Medical Center, University of Miami, Macquarie University, NIH’s Neuromuscular Diseases Research Section and CDC’s Agency for Toxic Substances and Disease Registry (National ALS Registry) to assess the role of CyanoHABs exposure as a risk factor for Amyotrophic lateral sclerosis (ALS) using patients, clinic-, and population-based controls across diverse settings and geographies. Each application end user has ongoing risk assessment frameworks (i.e., Gene-Environment, Residential History Machine Learning, eco-epidemiological, molecular biology) which our CHABMAP technology will integrate exposure epoch metrics to understand the etiology or ALS and support drug discovery. Proposed Innovation CHABMAP technology automates the quantification of toxic Cyanobacterial Harmful Algal Bloom (CHAB) exposure epochs for any waterbody or catchment in the world for the past four decades using multi-scale harmonized satellites. We use custom and proprietary techniques combined with BigData software to generate historical exposure (“exposome”) profiles as well provide Decision Support Tools services for CHAB monitoring in near-real time. During Phase 2 and beyond we work with world experts to integrate our commercial products and services into neurodegenerative disease Gene-Environment (GxE) risk assessment frameworks. Proposed Products, Services, Outcomes • Develop historical CHAB exposure measurements working with environmental agency partners • Assessment of CyanoHABs as a risk factor for ALS across multiple, independent study regions • CHABMAP on-demand Analytics-as-a-Service platform operating at end of Phase 2 • Support discovery of etiology and drug development for neurological disorders and diseases

特定目的＃1：操作空间周期性氰基曝光时期指标 •融合多尺度和不同的卫星遥感平台，并自动检索 得出氰基暴露指标的空间和时间。我们将构建企业软件以完全 自动化NASA的Landsat-8 Oli和Esa的Sentinel-2和ESA-2和ESA-2的协调和融合 Sentinel-3卫星平台可提供长期（1984年）中等空间分辨率 （30米像素）和高临时频率氰基暴露指标（蓝细菌 强度，颜色溶解有机物，总悬浮固体，浮藻指数， 叶绿素-A浓度和毒素）。决策支持工具可自动化时期合成 了解神经退行性疾病的孵化周期和暴露触发因素。 特定目的＃2：按需CHABMAP商业产品服务规模 •使用BigData Cloud扩展和实施CHABMAP数据服务，以实现无限可扩展性 技术。这个目标涉及三个主要发展工作：改编我们的专有 地理空间图像和加工系统（GIPS）功能，可自动缩放 集群，创建用户界面和应用程序编程接口（API）以与 这些服务，以及对基本GIPS框架的增强功能，以托管间断 在远程启用GIPS的档案和云处理流之间。这包括 创建可部署的计算实例，计算优化和并行化 特定于AWS部署，优化中级的临时和长期存储 产品，以及与最终用户的通信和数据传输的优化。最终，这个 目标将允许对任何水体或 地球上的地区（即北美）。 特定目标＃3：与公共卫生合作伙伴执行风险评估框架 •我们将与克利夫兰诊所合作，达特茅斯希区柯克医疗中心 迈阿密大学，麦格理大学，NIH的神经肌肉疾病研究科和 疾病预防控制中心的有毒物质和疾病注册机构（国家ALS注册机构）评估角色 使用患者使用氰基hab的暴露作为肌萎缩性侧索硬化症（ALS）的危险因素 跨潜水员环境和地理的诊所和基于人群的控制。每个应用程序 最终用户有持续的风险评估框架（即基因环境，住宅历史 机器学习，生态流行病学，分子生物学）我们的Chabmap技术将 综合暴露时期指标以了解病因或ALS并支持药物发现。 拟议的创新 CHABMAP技术可自动量化有毒的蓝细菌有害藻类布鲁姆（CHAB） 在过去的四十年中，使用多尺度的曝光时期 协调的卫星。我们使用与BigData软件相结合的定制技术和专有技术来 产生历史曝光（“ exposome”）配置文件，并为决策支持工具服务 CHAB在近乎实际的时间内监视。在第2阶段及以后，我们与世界专家合作以整合 我们的商业产品和服务用于神经退行性疾病基因环境（GXE）风险 评估框架。 建议的产品，服务，结果 •开发与环保机构合作伙伴一起工作的历史CHAB暴露测量 •评估氰基Habs作为多个独立研究区域的ALS的危险因素 •CHABMAP按需分析-AS-A-Service平台在第2阶段结束时运行 •支持发现神经系统疾病和疾病的病因和药物开发