Doctoral Dissertation Research: Intensive Phenological Monitoring of Wisconsin's Northern Mixed Forest, Integrating In-situ and Remote Sensing Observations

博士论文研究：威斯康星州北部混交林的强化物候监测，结合实地和遥感观测

• 批准号: 0703360
• 负责人: Mark Schwartz
• 金额: $ 0.75万
• 依托单位: University of Wisconsin-Milwaukee
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-04-01 至 2008-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0703360&HistoricalAwards=false
• 关键词: Doctoral; Dissertation; Research; Intensive; Phenological

Springtime plant phenology (onset of growth) is a critical indicator of biospheric response to global climate change. It also opens up possibilities to further understand lower atmospheric boundary layer dynamics and biosphere-atmosphere energy/matter exchange. With data from satellite observations and bioclimatic modeling becoming more available over the past decade, phenology is even more relevant for large scale ecosystem monitoring. However, due to the lack of intensive ground measurements which would allow precise validation of satellite data at the pixel level, the precision of information from remote sensors is still less than desired. To fully release the power of phenological monitoring, surface phenology across a landscape needs to be observed and characterized in a well-planned manner. This study is characterizing spring plant phenology at the landscape scale, and preparing a methodological base that includes spatially distributed field observations, in order to facilitate more reliable and integrated phenological monitoring of vegetation dynamics. These in-situ data, as well as corresponding satellite data, soil survey data, DEMs, etc. will be analyzed with statistics, spatial analysis, geostatistics, and digital image processing techniques. This grant will support a second year spring field campaign and research equipment maintenance/improvement. This project will be among the first to incorporate substantial ground-level phenology at high temporal and spatial resolution to characterize plant phenology and biosphere-atmosphere interactions at the landscape level. The nature of these data will allow reasonable validation of satellite-derived phenological indices by bringing two scales of observation to the same resolution. This proposed study is thus also a pioneering work designed for exploring effective approaches to monitor regional to global scale biospheric responses to global change, through the bridging of spatial scales and synergistic integration of in-situ and remotely sensed phenological data.The student investigator will use this project to support completion of his doctoral dissertation. The data collected and methods tested will be useful for other graduate students and interested researchers to conduct follow-up and related studies (phenological observations will be shared through an Internet portal). Broadly, a better understanding of landscape phenology and biospheric responses to global climate change is important for enhancing scientific knowledge of earth systems in support of societal adaptation and sustainable development efforts.

春天的植物物候（生长开始）是生物圈对全球气候变化反应的关键指标。它还为进一步了解较低的大气边界层动态和生物圈 - 大气能/物质交换的可能性开辟了可能性。在过去十年中，卫星观测和生物气候建模的数据变得更加可用，而物候学甚至与大型生态系统监测更相关。但是，由于缺乏强化的地面测量值，这将允许在像素级别进行精确验证卫星数据，因此遥控传感器的信息的精度仍然不足。为了充分释放物候监测的力量，需要以精心计划的方式观察和表征跨景观的表面物候。这项研究是在景观量表上表征春季植物物候，并准备一个包括空间分布的现场观测的方法基础，以促进对植被动力学的更可靠和更整合的物候监测。这些原位数据以及相应的卫星数据，土壤调查数据，DEM等将通过统计数据，空间分析，地统计学和数字图像处理技术进行分析。该赠款将支持第二年的春季野外活动和研究设备维护/改进。该项目将是最早在高时空和空间分辨率下纳入实质地面物候学的项目之一，以表征植物的物候和生物圈 - 大气相互作用在景观水平上。这些数据的性质将通过将两个量表的观察结果达到相同的分辨率来合理地验证卫星来源的物候指数。因此，这项拟议的研究也是一项开创性的研究，旨在探索有效的方法，通过桥接空间尺度和对原位的静态整合和远程感知的物候数据的桥接来监测全球尺度生物圈对全球变化的反应。该项目将利用这一项目来支持他的博士学位。所收集的数据和测试方法将对其他研究生和感兴趣的研究人员进行随访和相关研究（现场观察​​，将通过互联网门户进行分享）很有用。从广义上讲，对景观物候学和对全球气候变化的生物圈反应的更好理解对于增强地球系统的科学知识以支持社会适应和可持续发展努力非常重要。