首页> 外文期刊>GIScience & remote sensing >The Vegetation Outlook (VegOut): A New Method for Predicting Vegetation Seasonal Greenness
【24h】

The Vegetation Outlook (VegOut): A New Method for Predicting Vegetation Seasonal Greenness

机译:植被展望(VegOut):一种预测植被季节性绿色的新方法

获取原文
获取原文并翻译 | 示例
           

摘要

The vegetation outlook (VegOut) is a geospatial tool for predicting general vegetation condition patterns across large areas. VegOut predicts a standardized seasonal greenness (SSG) measure, which represents a general indicator of relative vegetation health. VegOut predicts SSG values at multiple time steps (two to six weeks into the future) based on the analysis of "historical patterns" (I.e., patterns at each 1 km grid cell and time of the year) of satellite, climate, and oceanic data over an 18-year period (1989 to 2006). The model underlying VegOut capitalizes on historical climate-vegetation interactions and ocean-climate teleconnections (such as El Nino and the Southern Oscillation, ENSO) expressed over the 18-year data record and also considers several environmental characteristics (e.g., land use/cover type and soils) that influence vegetation's response to weather conditions to produce 1 km maps that depict future general vegetation conditions. VegOut provides regional-level vegetation monitoring capabilities with local-scale information (e.g., county to sub-county level) that can complement more traditional remote sensing-based approaches that monitor "current" vegetation conditions. In this paper, the VegOut approach is discussed and a case study over the central United States for selected periods of the 2008 growing season is presented to demonstrate the potential of this new tool for assessing and predicting vegetation conditions.
机译:植被前景(VegOut)是一种地理空间工具,用于预测大面积地区的一般植被状况模式。 VegOut预测采用标准化的季节性绿色(SSG)措施,该措施代表相对植被健康的一般指标。 VegOut根据对卫星,气候和海洋数据的“历史模式”(即,每1 km网格单元的模式和一年中的时间)的分析,在多个时间步长(未来两到六周)中预测SSG值。超过18年(1989年至2006年)。 VegOut的基础模型利用了过去18年的数据记录中表达的历史气候-植被相互作用和海洋-气候遥相关(例如厄尔尼诺和南方涛动,ENSO),还考虑了一些环境特征(例如土地利用/覆盖类型)和土壤),以影响植被对天气条件的响应,从而绘制出1公里的地图,以描绘未来的一般植被状况。 VegOut提供具有地方范围信息(例如,县到县以下级别)的区域级植被监测功能,可以补充更多传统的基于遥感的方法来监测“当前”植被状况。在本文中,讨论了VegOut方法,并针对美国中部2008年生长期的选定时段进行了案例研究,以证明该新工具在评估和预测植被状况方面的潜力。

著录项

  • 来源
    《GIScience & remote sensing》 |2010年第1期|p.25-52|共28页
  • 作者单位

    National Drought Mitigation Center, School of Natural Resources, University of Nebraska-Lincoln, 811 Hardin Hall, 3310 Holdredge Street, P.O. Box 830988, Lincoln, Nebraska 68583-0988;

    National Drought Mitigation Center, School of Natural Resources, University of Nebraska-Lincoln, 811 Hardin Hall, 3310 Holdredge Street, P.O. Box 830988, Lincoln, Nebraska 68583-0988;

    National Drought Mitigation Center, School of Natural Resources, University of Nebraska-Lincoln, 811 Hardin Hall, 3310 Holdredge Street, P.O. Box 830988, Lincoln, Nebraska 68583-0988;

    National Drought Mitigation Center, School of Natural Resources, University of Nebraska-Lincoln, 811 Hardin Hall, 3310 Holdredge Street, P.O. Box 830988, Lincoln, Nebraska 68583-0988;

    United States Geological Survey, Earth Resources Observation and Science Center, 47914 252nd Street, Sioux Falls, South Dakota;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号