Integrating Landsat with MODIS Products for Vegetation Monitoring

Research output: Chapter in Book/Report/Conference proceedingChapter

5 Citations (Scopus)

Abstract

Satellite imagery provides a valuable data source for monitoring vegetation from space. In order to monitor vegetation dynamic and changes, high spatial resolution satellite imagery with frequent acquisition is required. However, current satellite systems cannot satisfy these requirements due to either technical or fiscal difficulties. In recent years, studies have been focused on integrating high spatial resolution Landsat and high temporal resolution MODIS data for vegetation monitoring. This chapter describes three categories of approach to integrate two data sources. The first category approach adopts MODIS algorithms for Landsat data processing. The second category approach blends Landsat and MODIS data through a data fusion approach. The third category approach normalizes Landsat data using standard MODIS data products. This chapter presents examples and recent applications on the integration of Landsat and MODIS data. Their advantages and limitations are discussed.

Original languageEnglish
Title of host publicationSatellite-Based Applications on Climate Change
EditorsJohn J. Qu, Alfred M. Powell, Jr., M. V. K. Sivakumar
PublisherSpringer Netherlands
Chapter16
Pages247-261
Number of pages15
Edition2013
ISBN (Electronic)9789400758728
ISBN (Print)9789400758711, 9789400799882
DOIs
Publication statusPublished - 9 Apr 2015
Externally publishedYes

Publication series

NameSpringer Atmospheric Sciences
PublisherSpringer

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  • Cite this

    Gao, F. (2015). Integrating Landsat with MODIS Products for Vegetation Monitoring. In J. J. Qu, A. M. Powell, Jr., & M. V. K. Sivakumar (Eds.), Satellite-Based Applications on Climate Change (2013 ed., pp. 247-261). (Springer Atmospheric Sciences). Springer Netherlands. https://doi.org/10.1007/978-94-007-5872-8_16