Korean Journal of Remote Sensing (대한원격탐사학회지)

Korean Society of Remote Sensing (대한원격탐사학회)
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Detection of short-term changes using MODIS daily dynamic cloud-free composite algorithm

  • Kim, Sun-Hwa (Inha University, Department of Geoinformatic Engineering) ;
  • Eun, Jeong (Inha University, Department of Geoinformatic Engineering) ;
  • Kang, Sung-Jin (Inha University, Department of Geoinformatic Engineering) ;
  • Lee, Kyu-Sung (Inha University, Department of Geoinformatic Engineering)
  • Received : 2011.05.19
  • Accepted : 2011.06.18
  • Published : 2011.06.30
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Abstract

Short-term land cover changes, such as forest fire scar and crop harvesting, can be detected by high temporal resolution satellite imagery like MODIS and AVHRR. Because these optical satellite images are often obscured by clouds, the static cloud-free composite methods (maximum NDVI, minblue, minVZA, etc.) has been used based on non-overlapping composite period (8-day, 16-day, or a month). Due to relatively long time lag between successive images, these methods are not suitable for observing short-term land cover changes in near-real time. In this study, we suggested a new dynamic cloud-free composite algorithm that uses cut-and-patch method of cloud-masked daily MODIS data using MOD35 products. Because this dynamic composite algorithm generates daily cloud-free MODIS images with the most recent information, it can be used to monitor short-term land cover changes in near-real time. The dynamic composite algorithm also provides information on the date of each pixel used in compositing, thereby makes accurately identify the date of short-term event.

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References

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