An approach to monitor land cover changes with time series MODIS data over Hot spot region

Tasneem Ahmed, Dharmendra Singh, Shweta Gupta, B. Raman
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引用次数: 1

Abstract

Harmonic analysis is used to map the periodic change variations, and it may provide the stability in the periodic changes about the specific changes at a particular time, which are occurring in Hot spot and non-hot spot regions. Constitutional sinusoidal term provides the amplitude and phase information, which are presented by the unique value. Amplitude values indicate the unimodal and bimodal changes in the time series data. The development of a monitoring procedure at regional level is still a challenging task, as it requires satellite images that have an adequate spatial resolution, high temporal resolution, wide geographical coverage and minimum cost. In this paper, Harmonic or Fourier analysis on 6-year (2007 to 2012) time series of MODIS (Moderate-Resolution Imaging Spectroradiometer) 8-day best composite images of land surface reflectance and surface temperature have been used to observe the periodic changes in greenness and land temperature over the Jharia Coal Field (JCF) region, India. Also, a comparative study has been done by using the first and second harmonic amplitude and additive term (averaged NDVI image) images to generate the RGB color composite images to interpret the winter and summer time periodic temporal changes.
热点地区MODIS时间序列土地覆盖变化监测方法研究
谐波分析可以映射出周期变化的变化,它可以提供在特定时间发生在热点和非热点区域的具体变化在周期变化中的稳定性。本构正弦项提供了振幅和相位信息,这些信息由唯一值表示。振幅值表示时间序列数据的单峰和双峰变化。在区域一级制定监测程序仍然是一项具有挑战性的任务,因为它需要具有适当空间分辨率、高时间分辨率、广泛地理覆盖和最低费用的卫星图像。本文利用MODIS (Moderate-Resolution Imaging Spectroradiometer)地表反射率和地表温度的8天最佳合成影像的6年(2007 - 2012)时间序列进行谐波或傅立叶分析,观测了印度Jharia煤田(JCF)地区植被和地表温度的周期性变化。利用一、二次谐波幅值和加性项(平均NDVI图像)图像生成的RGB彩色复合图像对冬夏时间周期变化进行了对比研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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