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Geli Zhang

Researcher at University of Oklahoma

Publications -  49
Citations -  4249

Geli Zhang is an academic researcher from University of Oklahoma. The author has contributed to research in topics: Normalized Difference Vegetation Index & Vegetation. The author has an hindex of 27, co-authored 38 publications receiving 3091 citations. Previous affiliations of Geli Zhang include Chinese Academy of Sciences.

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Green-up dates in the Tibetan Plateau have continuously advanced from 1982 to 2011

TL;DR: The alpine vegetation SOS in the Plateau experienced a continuous advancing trend at a rate of ∼1.04 d·y−1 from 1982 to 2011, which was consistent with observed warming in springs and winters and proved to be reliable with observed phenology data at 18 sites from 2003 to 2011.
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Mapping paddy rice planting area in northeastern Asia with Landsat 8 images, phenology-based algorithm and Google Earth Engine

TL;DR: The results indicated that the Landsat 8, GEE, and improved PPPM algorithm can effectively support the yearly mapping of paddy rice in NE Asia and has a high accuracy with the producer (user) accuracy of 73% (92%), based on the validation using very high resolution images and intensive field photos.
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A global moderate resolution dataset of gross primary production of vegetation for 2000–2016

TL;DR: This paper provides a new GPP dataset at moderate spatial and temporal resolutions over the entire globe for 2000–2016 and employs a state-of-the-art vegetation index (VI) gap-filling and smoothing algorithm and a separate treatment for C3/C4 photosynthesis pathways.
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Tracking the dynamics of paddy rice planting area in 1986–2010 through time series Landsat images and phenology-based algorithms

TL;DR: Wang et al. as mentioned in this paper developed an automated, Landsat-based paddy rice mapping (Landsat-RICE) system that uses time series Landsat images and a phenology-based algorithm based on the unique spectral characteristics of paddy Rice during the flooding/transplanting phase.