Ran Meng

About Ran Meng

Ran Meng, With an exceptional h-index of 21 and a recent h-index of 20 (since 2020), a distinguished researcher at Huazhong Agricultural University, specializes in the field of Remote Sensing, GIS, Disturbance Ecology, Precision Agriculture.

His recent articles reflect a diverse array of research interests and contributions to the field:

Ecoregion-wise fractional mapping of tree functional composition in temperate mixed forests with sentinel data: Integrating time-series spectral and radar data

UAS remote sensing (Osprey platform): Red-green-blue (RGB) imagery, thermal infrared (TIR) imagery, and canopy reflectance, Seward Peninsula, Alaska, 2017

Integration of deep learning algorithms with a Bayesian method for improved characterization of tropical deforestation frontiers using Sentinel-1 SAR imagery

A spectral-temporal constrained deep learning method for tree species mapping of plantation forests using time series Sentinel-2 imagery

Combining multiple spectral enhancement features for improving spectroscopic asymptomatic detection and symptomatic severity classification of southern corn leaf blight

Improved yield prediction of Ratoon rice using unmanned aerial vehicle-based multi-temporal feature method

Improved Weed Mapping in Corn Fields by Combining Uav-Based Spectral, Textural, Structural, and Thermal Measurements

Multi-year throughfall reduction enhanced the growth and non-structural carbohydrate storage of roots at the expenses of above-ground growth in a warm-temperate natural oak forest

Ran Meng Information

University

Position

Professor

Citations(all)

1499

Citations(since 2020)

1314

Cited By

559

hIndex(all)

21

hIndex(since 2020)

20

i10Index(all)

28

i10Index(since 2020)

26

Email

University Profile Page

Google Scholar

Ran Meng Skills & Research Interests

Remote Sensing

GIS

Disturbance Ecology

Precision Agriculture

Top articles of Ran Meng

Ecoregion-wise fractional mapping of tree functional composition in temperate mixed forests with sentinel data: Integrating time-series spectral and radar data

Remote Sensing of Environment

2024/4/1

UAS remote sensing (Osprey platform): Red-green-blue (RGB) imagery, thermal infrared (TIR) imagery, and canopy reflectance, Seward Peninsula, Alaska, 2017

2024/3/8

Andrew Mcmahon
Andrew Mcmahon

H-Index: 3

Ran Meng
Ran Meng

H-Index: 13

Integration of deep learning algorithms with a Bayesian method for improved characterization of tropical deforestation frontiers using Sentinel-1 SAR imagery

Remote Sensing of Environment

2023/12/1

A spectral-temporal constrained deep learning method for tree species mapping of plantation forests using time series Sentinel-2 imagery

ISPRS Journal of Photogrammetry and Remote Sensing

2023/10/1

Combining multiple spectral enhancement features for improving spectroscopic asymptomatic detection and symptomatic severity classification of southern corn leaf blight

Precision Agriculture

2023/8

Improved yield prediction of Ratoon rice using unmanned aerial vehicle-based multi-temporal feature method

Rice Science

2023/5/1

Improved Weed Mapping in Corn Fields by Combining Uav-Based Spectral, Textural, Structural, and Thermal Measurements

Pest Management Science

2023/3

Multi-year throughfall reduction enhanced the growth and non-structural carbohydrate storage of roots at the expenses of above-ground growth in a warm-temperate natural oak forest

Forest Ecosystems

2023/1/1

Leaf Nitrogen, Leaf Mass Area, Leaf Water Content, Seward Peninsula, Alaska, 2017

2022/12/2

Ran Meng
Ran Meng

H-Index: 13

Andrew Mcmahon
Andrew Mcmahon

H-Index: 3

Characterizing the provision and inequality of primary school greenspaces in China’s major cities based on multi-sensor remote sensing

Urban Forestry & Urban Greening

2022/9/1

An improved approach to estimate ratoon rice aboveground biomass by integrating UAV-based spectral, textural and structural features

Precision Agriculture

2022/8

Comparison of UAV-based LiDAR and digital aerial photogrammetry for measuring crown-level canopy height in the urban environment

Urban Forestry & Urban Greening

2022/3/1

Landsat-based monitoring of southern pine beetle infestation severity and severity change in a temperate mixed forest

Remote Sensing of Environment

2022/2/1

Monthly mapping of forest harvesting using dense time series Sentinel-1 SAR imagery and deep learning

Remote Sensing of Environment

2022/2/1

Assessing Landsat-8 and Sentinel-2 spectral-temporal features for mapping tree species of northern plantation forests in Heilongjiang Province, China

Forest Ecosystems

2022/1/1

Modeling of winter wheat fAPAR by integrating Unmanned Aircraft Vehicle-based optical, structural and thermal measurement

International Journal of Applied Earth Observation and Geoinformation

2021/10/1

Wheat yield prediction based on unmanned aerial vehicles-collected red–green–blue imagery

Remote Sensing

2021/7/26

8-Day and daily maximum and minimum air temperature estimation via machine learning method on a climate zone to global scale

Remote Sensing

2021/6/16

A novel strategy to reconstruct NDVI time-series with high temporal resolution from MODIS multi-temporal composite products

Remote Sensing

2021/4/5

Big Earth Data Supports Sustainable Food Production: Practices and Prospects

Bulletin of Chinese Academy of Sciences (Chinese Version)

2021

See List of Professors in Ran Meng University(Huazhong Agricultural University)

Co-Authors

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