Zhenwang Li

Orcid: 0000-0002-9882-8986

According to our database1, Zhenwang Li authored at least 13 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
Comparative Verification of Leaf Area Index Products for Different Grassland Types in Inner Mongolia, China.
Remote. Sens., October, 2023

2022
Sensing of Soil Organic Matter Using Laser-Induced Breakdown Spectroscopy Coupled with Optimized Self-Adaptive Calibration Strategy.
Sensors, 2022

Modeling the Leaf Area Index of Inner Mongolia Grassland Based on Machine Learning Regression Algorithms Incorporating Empirical Knowledge.
Remote. Sens., 2022

Development of Prediction Models for Estimating Key Rice Growth Variables Using Visible and NIR Images from Unmanned Aerial Systems.
Remote. Sens., 2022

2021
Estimating Plant Nitrogen Concentration of Rice through Fusing Vegetation Indices and Color Moments Derived from UAV-RGB Images.
Remote. Sens., 2021

Improved Accuracy of Phenological Detection in Rice Breeding by Using Ensemble Models of Machine Learning Based on UAV-RGB Imagery.
Remote. Sens., 2021

Estimation of nitrogen nutrition index in rice from UAV RGB images coupled with machine learning algorithms.
Comput. Electron. Agric., 2021

2019
Estimating Grassland Carbon Stocks in Hulunber China, Using Landsat8 Oli Imagery and Regression Kriging †.
Sensors, 2019

2016
Predicting Grassland Leaf Area Index in the Meadow Steppes of Northern China: A Comparative Study of Regression Approaches and Hybrid Geostatistical Methods.
Remote. Sens., 2016

2015
Evaluation and Intercomparison of MODIS and GEOV1 Global Leaf Area Index Products over Four Sites in North China.
Sensors, 2015

Variability and climate change trend in vegetation phenology of recent decades in the Greater Khingan Mountain area, Northeastern China.
Remote. Sens., 2015

2014
Assessment of the MODIS LAI Product Using Ground Measurement Data and HJ-1A/1B Imagery in the Meadow Steppe of Hulunber, China.
Remote. Sens., 2014

Monitoring Geologic Hazards and Vegetation Recovery in the Wenchuan Earthquake Region Using Aerial Photography.
ISPRS Int. J. Geo Inf., 2014


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