World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
8197
World Ranking
7208
National Ranking
3148

Environmental Sciences

D-Index
45
Citations
8258
World Ranking
6371
National Ranking
2296

Overview

Le Wang is affiliated with the University at Buffalo, State University of New York in the United States. Their research primarily focuses on environmental science, with a significant emphasis on the study of coastal wetland ecosystem dynamics and remote sensing applications.

The scientist's main fields of study include:

  • Environmental Science

Within this broader area, their subfields of expertise encompass:

  • Ecology
  • Environmental Engineering
  • Global and Planetary Change
  • Earth-Surface Processes
  • Plant Science

Le Wang's work covers several key research topics such as:

  • Coastal wetland ecosystem dynamics
  • Remote Sensing in Agriculture
  • Land Use and Ecosystem Services
  • Remote Sensing and LiDAR Applications
  • Remote-Sensing Image Classification
  • Wind and Air Flow Studies
  • Aeolian processes and effects

Their frequently contributing publication venues include:

  • International Journal of Applied Earth Observation and Geoinformation
  • International Journal of Remote Sensing
  • Remote Sensing of Environment
  • ISPRS Journal of Photogrammetry and Remote Sensing
  • SSRN Electronic Journal

Significant recent papers authored or co-authored by Le Wang are:

  • "A summary of the special issue on remote sensing of land change science with Google earth engine," 2020, Remote Sensing of Environment
  • "Numerical study on flow field and pollutant dispersion in an ideal street canyon within a real tree model at different wind velocities," 2020, Computers & Mathematics with Applications

Other notable papers connected to their research network include works such as:

  • "Deep learning for change detection in remote sensing: a review," 2022, Geo-spatial Information Science
  • "Development of spectral-phenological features for deep learning to understand Spartina alterniflora invasion," 2020, Remote Sensing of Environment
  • "Effects of physicochemical factors on the transport of aged polystyrene nanoparticles in saturated porous media," 2021, Chemosphere

Le Wang frequently collaborates with several researchers in their field. Prominent co-authors include:

  • Dameng Yin
  • Huili Gong
  • Chunyuan Diao
  • Ying Lu
  • Jinyan Tian

Best Publications

  • Comparison of IKONOS and QuickBird images for mapping mangrove species on the Caribbean coast of Panama

    Le Wang;Wayne P. Sousa;Peng Gong;Gregory S. Biging

  • Integration of object-based and pixel-based classification for mapping mangroves with IKONOS imagery

    L. Wang;W. P. Sousa;P. Gong

  • Individual Tree-Crown Delineation and Treetop Detection in High-Spatial-Resolution Aerial Imagery

    Le Wang;Peng Gong;Gregory S. Biging

  • A review of remote sensing for mangrove forests: 1956–2018

    Le Wang;Mingming Jia;Dameng Yin;Jinyan Tian

  • Population Estimation Methods in GIS and Remote Sensing: A Review

    Shuo-sheng Wu;Xiaomin Qiu;Le Wang

  • Change Detection in Multisource VHR Images via Deep Siamese Convolutional Multiple-Layers Recurrent Neural Network

    Hongruixuan Chen;Chen Wu;Bo Du;Liangpei Zhang

  • A multi-directional ground filtering algorithm for airborne LIDAR

    Xuelian Meng;Le Wang;José Luis Silván-Cárdenas;Nate Currit

  • Incorporating spatial information in spectral unmixing: A review

    Chen Shi;Chen Shi;Le Wang;Le Wang

  • Comparison of UAV and WorldView-2 imagery for mapping leaf area index of mangrove forest

    Jinyan Tian;Le Wang;Xiaojuan Li;Huili Gong

  • The spatial distribution patterns of biological soil crusts in the Gurbantunggut Desert, Northern Xinjiang, China

    Y.M. Zhang;J. Chen;L. Wang;X.Q. Wang

  • Individual mangrove tree measurement using UAV-based LiDAR data: Possibilities and challenges

    Dameng Yin;Dameng Yin;Le Wang

  • Multicriteria decision approach for land use land cover change using Markov chain analysis and a cellular automata approach

    Soe W Myint;Le Wang

  • A new index for mapping lichen-dominated biological soil crusts in desert areas

    Jin Chen;Ming Yuan Zhang;Le Wang;Hiroto Shimazaki

  • Automated urban land-use classification with remote sensing

    Shougeng Hu;Le Wang

  • Evaluation of Morphological Texture Features for Mangrove Forest Mapping and Species Discrimination Using Multispectral IKONOS Imagery

    Xin Huang;Liangpei Zhang;Le Wang

  • Distinguishing mangrove species with laboratory measurements of hyperspectral leaf reflectance

    Le Wang;Wayne P. Sousa

  • Identifying Mangrove Species and Their Surrounding Land Use and Land Cover Classes Using an Object-Oriented Approach with a Lacunarity Spatial Measure

    Soe W. Myint;Chandra P. Giri;Le Wang;Zhiliang Zhu

  • Spatio-temporal urban landscape change analysis using the Markov chain model and a modified genetic algorithm

    J. Tang;L. Wang;Z. Yao

  • A summary of the special issue on remote sensing of land change science with Google earth engine

    Le Wang;Chunyuan Diao;George Xian;Dameng Yin

  • MORPHOLOGY-BASED BUILDING DETECTION FROM AIRBORNE LIDAR DATA

    Xuelian Meng;Le Wang;Nate Currit

  • Sub-pixel confusion-uncertainty matrix for assessing soft classifications

    J.L. Silván-Cárdenas;L. Wang

  • A multi-resolution approach for filtering LiDAR altimetry data

    J.L. Silván-Cárdenas;L. Wang

Frequent Co-Authors

Jin Chen
Jin Chen Beijing Normal University
Peng Gong
Peng Gong University of Hong Kong
Jianya Gong
Jianya Gong Wuhan University
Soe W. Myint
Soe W. Myint Arizona State University
Liangpei Zhang
Liangpei Zhang Wuhan University
Peter A. Rogerson
Peter A. Rogerson University at Buffalo, State University of New York
Qiuming Cheng
Qiuming Cheng China University of Geosciences
Massimo Menenti
Massimo Menenti Delft University of Technology
Zhenfeng Shao
Zhenfeng Shao Wuhan University
Zhiliang Zhu
Zhiliang Zhu United States Geological Survey

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