• Publications
  • Influence
Object-based cloud and cloud shadow detection in Landsat imagery
TLDR
A new method called Fmask (Function of mask) for cloud and cloud shadow detection in Landsat imagery is provided. Expand
Landsat-8: Science and Product Vision for Terrestrial Global Change Research
Abstract Landsat 8, a NASA and USGS collaboration, acquires global moderate-resolution measurements of the Earth's terrestrial and polar regions in the visible, near-infrared, short wave, and thermalExpand
Continuous change detection and classification of land cover using all available Landsat data
Abstract A new algorithm for Continuous Change Detection and Classification (CCDC) of land cover using all available Landsat data is developed. It is capable of detecting many kinds of land coverExpand
Improvement and expansion of the Fmask algorithm: cloud, cloud shadow, and snow detection for Landsats 4–7, 8, and Sentinel 2 images
Abstract Identification of clouds, cloud shadows and snow in optical images is often a necessary step toward their use. Recently a new program (named Fmask) designed to accomplish these tasks wasExpand
What's Your Next Move: User Activity Prediction in Location-based Social Networks
TLDR
We propose a framework which uses a mixed hidden Markov model to predict the category of user activity at the next step and then predict the most likely location given the estimated category distribution. Expand
Automated cloud, cloud shadow, and snow detection in multitemporal Landsat data: An algorithm designed specifically for monitoring land cover change
TLDR
We developed a new algorithm called Tmask (multi temporal mask) for automated masking of cloud, cloud shadow, and snow for multitemporal Landsat images. Expand
Continuous monitoring of forest disturbance using all available Landsat imagery
A new change detection algorithm for continuous monitoring of forest disturbance at high temporal frequency is developed. Using all available Landsat 7 images in two years, time series modelsExpand
Cloud detection algorithm comparison and validation for operational Landsat data products
TLDR
We created a workflow to evaluate cloud and cloud shadow masking algorithms using cloud validation masks manually derived from both Landsat 8 OLI/TIRS data. Expand
Detecting interannual variation in deciduous broadleaf forest phenology using Landsat TM/ETM+ data
Abstract Observations of vegetation phenology provide valuable information regarding ecosystem responses to climate variability and change. Phenology is also a first-order control on terrestrialExpand
Change detection using landsat time series: A review of frequencies, preprocessing, algorithms, and applications
  • Z. Zhu
  • Computer Science
  • 1 August 2017
TLDR
We present a comprehensive review of four important aspects of change detection studies based on Landsat time series, including frequencies, preprocessing, algorithms, and applications. Expand
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