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Desertification assessment and trend analysis using modis data

机译:利用modis数据进行荒漠化评估和趋势分析

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摘要

Desertification is a severe issue that has received increasing attention currently. This paper aims at the desertification degree assessment and trend analysis between 2000 and 2014. Firstly, based on the negative correlation between albedo and Normalized Difference Vegetation Index (NDVI), desertification difference index (DDI) products are completed, which are applied to assess desertification degree. For the purpose of monitoring the tendency of global desertification, the time-series data from MODIS are applied to work out the normalized yearly albedo and NDVI. Then, based on DDI products and the trend analysis approach, the global desertification tendency products are produced. Preliminary analysis showed that the ranking of global desertification seriousness relates to the temperature zone. Desertification trended to be aggravated in central North America, eastern Asia, the Pacific Rim, and central Australia. The results above may promote the scientific decision, and help prevent and control the desertification.
机译:荒漠化是一个严重的问题,目前已引起越来越多的关注。本文针对2000年至2014年的荒漠化程度评估和趋势分析。首先,在反照率与归一化植被指数(NDVI)之间负相关的基础上,完成了荒漠化差异指数(DDI)产品,用于沙漠化评估。学位。为了监测全球荒漠化趋势,使用来自MODIS的时间序列数据来计算归一化的年度反照率和NDVI。然后,基于DDI产品和趋势分析方法,产生了全球荒漠化趋势产品。初步分析表明,全球荒漠化严重程度的排序与温度带有关。北美中部,东亚,环太平洋和澳大利亚中部的沙漠化趋势将加剧。以上结果可促进科学决策,有助于防治荒漠化。

著录项

  • 来源
  • 会议地点 Fort Worth(US)
  • 作者单位

    School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China;

    School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China;

    School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China;

    School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China;

    School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    albedo; geomorphology; remote sensing; time series; vegetation;

    机译:反照率地貌遥感时间序列植被;

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