• Publications
  • Influence
Object-based cloud and cloud shadow detection in Landsat imagery
The goal is development of a cloud and cloud shadow detection algorithm suitable for routine usage with Landsat images and as high as 96.4%. 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
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
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
Automated cloud, cloud shadow, and snow detection in multitemporal Landsat data: An algorithm designed specifically for monitoring land cover change
The goal is development of a cloud, cloud shadow, and snow detection algorithm that results in a multitemporal stack of images that is free of “noise” factors and thus suitable for detection of land cover change. 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
A workflow to evaluate cloud and cloud shadow masking algorithms using cloud validation masks manually derived from both Landsat 7 Enhanced Thematic Mapper Plus and Landsat 8 OLI/TIRS data is created, finding that CFMask, C code based on the Function of Mask (Fmask) algorithm, and its confidence bands have the best overall accuracy among the many algorithms tested using validation 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
  • Zhe Zhu
  • Computer Science
  • 1 August 2017
It is observed that the more recent the study, the higher the frequency of Landsat time series used and some of the widely-used change detection algorithms were discussed, including thresholding, differencing, segmentation, trajectory classification, and regression. Expand
Assessment of spectral, polarimetric, temporal, and spatial dimensions for urban and peri-urban land cover classification using Landsat and SAR data
Abstract Urban and peri-urban environments are composed of a wide variety of materials, making land cover classification challenging. The objective of this research is to determine how effectivelyExpand