• 主题
高级搜索  >
历史搜索 清空历史
首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >An Annual Plant Growth Proxy in the Mojave Desert Using MODIS-EVI Data
【2h】

An Annual Plant Growth Proxy in the Mojave Desert Using MODIS-EVI Data

机译：使用MODIS-EVI数据在莫哈韦沙漠中的年度植物生长代理

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In the arid Mojave Desert, the phenological response of vegetation is largely dependent upon the timing and amount of rainfall, and maps of annual plant cover at any one point in time can vary widely. Our study developed relative annual plant growth models as proxies for annual plant cover using metrics that captured phenological variability in Moderate-Resolution Imaging Spectroradiometer (MODIS) Enhanced Vegetation Index (EVI) satellite images. We used landscape phenologies revealed in MODIS data together with ecological knowledge of annual plant seasonality to develop a suite of metrics to describe annual growth on a yearly basis. Each of these metrics was applied to temporally-composited MODIS-EVI images to develop a relative model of annual growth. Each model was evaluated by testing how well it predicted field estimates of annual cover collected during 2003 and 2005 at the Mojave National Preserve. The best performing metric was the spring difference metric, which compared the average of three spring MODIS-EVI composites of a given year to that of 2002, a year of record drought. The spring difference metric showed correlations with annual plant cover of R2 = 0.61 for 2005 and R2 = 0.47 for 2003. Although the correlation is moderate, we consider it supportive given the characteristics of the field data, which were collected for a different study in a localized area and are not ideal for calibration to MODIS pixels. A proxy for annual growth potential was developed from the spring difference metric of 2005 for use as an environmental data layer in desert tortoise habitat modeling. The application of the spring difference metric to other imagery years presents potential for other applications such as fuels, invasive species, and dust-emission monitoring in the Mojave Desert.
机译：在干旱的莫哈韦沙漠中，植被的物候响应在很大程度上取决于降雨的时间和降雨量，在任何一个时间点的年度植物覆盖图都可能有很大差异。我们的研究使用捕获中度分辨率成像光谱仪（MODIS）增强植被指数（EVI）卫星图像中物候变异性的指标，开发了相对年度植物生长模型作为年度植物覆盖率的代理。我们使用MODIS数据中揭示的景观物候信息以及年度植物季节性的生态知识，来开发一套度量来描述每年的年度增长。将这些指标中的每一个应用于时间合成的MODIS-EVI图像，以开发年增长率的相对模型。通过测试每个模型对Mojave国家自然保护区2003年和2005年收集的年度植被的田野估计的预测效果如何进行评估。表现最佳的指标是弹簧差指标，该指标将给定年份的三种春季MODIS-EVI复合材料的平均值与2002年（创纪录的干旱年份）的平均值进行了比较。春季差异量度显示与2005年的R 2 = 0.61和2003年的R 2 = 0.47的年度植物覆盖率相关。现场数据的特征，这些数据是在局部区域为不同研究收集的，因此不适合对MODIS像素进行校准。根据2005年的春季差异度量标准开发了年度增长潜力的代理，以用作沙漠乌龟栖息地建模的环境数据层。弹簧差度量在其他影像年中的应用为莫哈韦沙漠中的燃料，入侵物种和粉尘排放监测等其他应用提供了潜力。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

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