Linghua Meng

According to our database1, Linghua Meng authored at least 11 papers between 2017 and 2024.

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

Timeline

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Links

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Bibliography

2024
Enhanced Blue Band Vegetation Index (The Re-Modified Anthocyanin Reflectance Index (RMARI)) for Accurate Farmland Shelterbelt Extraction.
Remote. Sens., October, 2024

Soil Surface Roughness Characteristics Under Different Agricultural Tillage Practices - A Case Study in the Black Soil Region of Northeast China.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

2023
Assessing the Spatial-Temporal Pattern of Spring Maize Drought in Northeast China Using an Optimised Remote Sensing Index.
Remote. Sens., September, 2023

Construction and Assessment of a Drought-Monitoring Index Based on Multi-Source Data Using a Bias-Corrected Random Forest (BCRF) Model.
Remote. Sens., May, 2023

2021
Assessment of FSDAF Accuracy on Cotton Yield Estimation Using Different MODIS Products and Landsat Based on the Mixed Degree Index with Different Surroundings.
Sensors, 2021

Spatiotemporal Changes and Driving Factors of Cultivated Soil Organic Carbon in Northern China's Typical Agro-Pastoral Ecotone in the Last 30 Years.
Remote. Sens., 2021

Predicting Maize Yield at the Plot Scale of Different Fertilizer Systems by Multi-Source Data and Machine Learning Methods.
Remote. Sens., 2021

2020
An Innovative Approach for Improving the Accuracy of Digital Elevation Models for Cultivated Land.
Remote. Sens., 2020

2019
Assessment of the effectiveness of spatiotemporal fusion of multi-source satellite images for cotton yield estimation.
Comput. Electron. Agric., 2019

2018
Cotton Yield Estimation Model Based on Fusion Image from MODIS and Landsat Data.
Proceedings of the 2018 7th International Conference on Agro-geoinformatics (Agro-geoinformatics), 2018

2017
Delineation of site-specific management zone based on SPOT6/7 remote sensing image in black soil area, Northeast China.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017


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