Liangyun Liu
Chinese Academy of Sciences
209 Papers
384 Citations
Liangyun Liu is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Leaf area index & Environmental science. The author has an hindex of 29, co-authored 176 publications. Previous affiliations of Liangyun Liu include Center for Information Technology.
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Papers
Global Cross-Sensor Transformation Functions for Landsat-8 and Sentinel-2 Top of Atmosphere and Surface Reflectance Products Within Google Earth Engine
TL;DR: In this paper , the authors developed the global cross-sensor transformation functions for the well-established Landsat-8 and Sentinel-2 top of atmosphere (TOA) and surface reflectance (SR) products integrated within Google Earth Engine (GEE).
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Validation of Four Coarse-Resolution Leaf Area Index Products Over Croplands in China Using Field Measurements
TL;DR: In this article, four popular LAI products, namely MCD15A2H, GLASS, GEOV2, and GLOBMAP, were assessed over croplands in China using field measurements.
Assessment of Satellite Chlorophyll-Based Leaf Maximum Carboxylation Rate (Vcmax) Using Flux Observations at Crop and Grass Sites
TL;DR: The results support the retrieval of Vcmax from satellite data based on the link with leaf chlorophyll content and show that there was good agreement between Vc Max derived from remote sensing and flux data.
Variable-rate nitrogen application algorithm based on canopy reflected spectrum and its influence on wheat
Hongxia Liang,Chunjiang Zhao,Wenjiang Huang,Liangyun Liu,Jihua Wang,Youhua Ma +5 more
- 20 Jan 2005
TL;DR: In this paper, the relationship between vegetation index (OSAVI) and nitrogen content was used to determine the amount of nitrogen fertilizer recommended for variable rate management in precision agriculture. But, it didn't increase crop yield and grain protein content significantly and did not decrease the variety of 1000grain weight, compared to traditional rate application.
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Use of Landsat TM and EOS MODIS imaging technologies for estimation of winter wheat yield in the North China Plain
TL;DR: In this article, the authors focused on the methodologies of winter wheat yield prediction based on Land Satellite Thematic Map (TM) and Earth Observation System Moderate Resolution Imaging Spectroradiometer (MODIS) imaging technologies in the North China Plain.
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