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Application of EOS core system data and data products for monitoring and mitigating natural disasters

机译:EOS核心系统数据和数据产品在监测和减轻自然灾害中的应用

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A primary goal of the Texas Synergy I program was to evaluate the utility of high temporal resolution data acquired at coarse spatial resolution for assessment of regional conditions and early detection of environmental changes. In this presentation, three sample applications are shown to emphasize the use of EOS Core System (ECS) data for these purposes. (1) A multi-year Normalized Difference Vegetation Index (NDVI) composite of cloud-free sequences over Texas was developed by CSR to demonstrate the severity of the year 2000 drought. The NDVI time series products illustrate precipitation trends qualitatively and highlight the recent drought's impact on vegetation across the state of Texas. (2) Similarly, the daily Seaviewing Wide Field-of-view Sensor (SeaWiFS) chlorophyll data product derived by CSR using NASA's SeaWiFS Data Analysis System (SeaDAS) software provided useful information on the extent of a red tide event that developed along the entire Texas coast in the fall of 2000. Several samples of Moderate Resolution Imaging Spectroradiometer (MODIS) data, with their improved spatial resolution and spectral calibration, indicated a potential for low cost monitoring of biological signatures in the ocean. (3) Finally, severe weather in West Texas, exacerbated by the drought conditions of spring 2000, ignited a 47,000 acre wildfire in the Glass Mountains. CSR downloaded and processed ECS data imaged during and after the fire event. Several 2D and 3D data products demonstrated the integration of 30-meter digital elevation models and GIS data layers with Landsat 7 Enhanced Thematic Mapper Plus (ETM+) imagery. Hot spots were evident in MODIS 3.7 micron imagery while the evolving burnscar was clearly visible in 250 meter pixel resolution MODIS imagery.
机译:德克萨斯州协同机构I计划的主要目标是评估以粗糙空间分辨率获得的高时间分辨率数据,以评估区域条件和早期检测环境变化。在本演示文献中,示出了三种样本应用来强调使用EOS核心系统(ECS)数据以进行这些目的。 (1)CSR开发了德克萨斯州无云序列的多年归一化差异植被指数(NDVI)复合覆盖序列的综合,以证明2000年的严重程度。 NDVI时间序列产品说明了定性的降水趋势,并突出了最近的干旱对德克萨斯州的植被影响。 (2)同样,使用NASA的Seawifs数据分析系统(SEADAS)软件通过CSR获得的每日海景视野传感器(SEAWIFS)叶绿素数据产品提供了有关沿整个开发的红潮事件的范围的有用信息德克萨斯州海岸在2000年下降。几种适度分辨率成像光谱辐射计(MODIS)数据的样本,具有改善的空间分辨率和光谱校准,表明了海洋中生物签名的低成本监测的可能性。 (3)最后,西德克萨斯州的恶劣天气,由2000年春季的干旱状况恶化,点燃了玻璃山脉47,000英亩的野火。 CSR下载和处理了在火灾事件期间和之后的ECS数据。几个2D和3D数据产品展示了30米数字高度模型和GIS数据层与Landsat 7增强专题映射器(ETM +)图像的集成。在Modis 3.7微米图像中,热点是明显的,而在250米像素分辨率的Modis图像中,不断变化的Burnscar清晰可见。

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