Lei Wang

Orcid: 0000-0002-3296-5806

Affiliations:
  • China Meteorological Administration, Beijing, Beijing, China


According to our database1, Lei Wang authored at least 12 papers between 2018 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Online presence:

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Bibliography

2024
Comprehensive Assessment of NDVI Products Derived from Fengyun Satellites across China.
Remote. Sens., April, 2024

2023
A Study of the Method for Retrieving the Vegetation Index from FY-3D MERSI-II Data.
Remote. Sens., January, 2023

2022
Developing machine learning models with multisource inputs for improved land surface soil moisture in China.
Comput. Electron. Agric., 2022

Crop yield prediction using MODIS LAI, TIGGE weather forecasts and WOFOST model: A case study for winter wheat in Hebei, China during 2009-2013.
Int. J. Appl. Earth Obs. Geoinformation, 2022

2021
Using Long-Term Earth Observation Data to Reveal the Factors Contributing to the Early 2020 Desert Locust Upsurge and the Resulting Vegetation Loss.
Remote. Sens., 2021

2020
Drought Monitoring Using the Sentinel-3-Based Multiyear Vegetation Temperature Condition Index in the Guanzhong Plain, China.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Using FengYun-3C VSM Data and Multivariate Models to Estimate Land Surface Soil Moisture.
Remote. Sens., 2020

Developing a fused vegetation temperature condition index for drought monitoring at field scales using Sentinel-2 and MODIS imagery.
Comput. Electron. Agric., 2020

Monitoring maize growth on the North China Plain using a hybrid genetic algorithm-based back-propagation neural network model.
Comput. Electron. Agric., 2020

2019
Monitoring maize growth conditions by training a BP neural network with remotely sensed vegetation temperature condition index and leaf area index.
Comput. Electron. Agric., 2019

2018
Developing an integrated indicator for monitoring maize growth condition using remotely sensed vegetation temperature condition index and leaf area index.
Comput. Electron. Agric., 2018

Mapping MODIS LST NDVI Imagery for Drought Monitoring in Punjab Pakistan.
IEEE Access, 2018


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