Liangyun Liu

Estimating woody aboveground biomass in an area of agroforestry using airborne light detection and ranging and compact airborne spectrographic imager hyperspectral data: individual tree analysis incorporating tree species information

Su Zhang, Dailiang Peng, Zhihui Wang, 2016 .

Improving the retrieval of solar-induced chlorophyll fluorescence at canopy level by modeling the relative peak height of the apparent reflectance

Liangyun Liu, Xinjie Liu, Jiaochan Hu, 2017 .

Generation of a Global Spatially Continuous TanSat Solar-Induced Chlorophyll Fluorescence Product by Considering the Impact of the Solar Radiation Intensity

Yan Ma, Liangyun Liu, Xinjie Liu, 2020, Remote. Sens..

Predicting surface reflectance using time series harmonic model and all available Landsat imagery

Xiao Zhang, Liangyun Liu, Xidong Chen, 2019, 2019 10th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp).

Retrieving Crop Leaf Chlorophyll Content Using an Improved Look-Up-Table Approach by Combining Multiple Canopy Structures and Soil Backgrounds

Liangyun Liu, Xiaojin Qian, Liangyun Liu, 2020, Remote. Sens..

Atmospherically resistant vegetation water indices using the 970-nm water absorption feature

Jiangui Liu, Liangyun Liu, Quanjun Jiao, 2020, Journal of Applied Remote Sensing.

Mapping afforestation and forest biomass using time-series Landsat stacks

Zhihui Wang, Dailiang Peng, Liangyun Liu, 2014, Asia-Pacific Environmental Remote Sensing.

Vegetation classification and soil moisture calculation using land surface temperature (LST) and vegetation index (VI)

Bing Zhang, Liangyun Liu, Genxing Xu, 2002, SPIE Defense + Commercial Sensing.

Upscaling from Instantaneous to Daily Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) for Satellite Products

Xue He, Dailiang Peng, Liangyun Liu, 2020, Remote. Sens..

Dynamic mapping of broadband visible albedo of soil background at global 500-m scale from MODIS satellite products

Xiao Zhang, Liangyun Liu, 2018, Asia-Pacific Remote Sensing.

A Global Sensitivity Analysis of Commonly Used Satellite-Derived Vegetation Indices for Homogeneous Canopies Based on Model Simulation and Random Forest Learning

Zhen Li, Lifu Zhang, Changping Huang, 2019, Remote. Sens..