World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
48
Citations
9834
World Ranking
5490
National Ranking
557

Overview

Zheng Niu is affiliated with the Chinese Academy of Sciences in China and focuses primarily on Environmental Science, with a significant number of publications in this field.

Their research spans several subfields including:

  • Global and Planetary Change
  • Ecology
  • Environmental Engineering
  • Transportation
  • Atmospheric Science

Main topics covered in their work include:

  • Remote Sensing in Agriculture
  • Remote Sensing and LiDAR Applications
  • Land Use and Ecosystem Services
  • Impact of Light on Environment and Health
  • Plant Water Relations and Carbon Dynamics
  • Remote Sensing and Land Use
  • 3D Surveying and Cultural Heritage

Zheng Niu's frequent coauthors reveal a consistent collaboration network, featuring:

  • Li Wang
  • Ni Huang
  • Kaiyi Bi
  • Mingquan Wu
  • Wang Li

Their publications are often found in the following venues, indicating a focus on remote sensing and geospatial studies:

  • Remote Sensing
  • IEEE Transactions on Geoscience and Remote Sensing
  • International Journal of Digital Earth
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • Remote Sensing of Environment

Selected recent papers include:

  • High-resolution mapping of forest canopy height using machine learning by coupling ICESat-2 LiDAR with Sentinel-1, Sentinel-2 and Landsat-8 data (2020), International Journal of Applied Earth Observation and Geoinformation
  • Early-season mapping of winter wheat in China based on Landsat and Sentinel images (2020), Earth system science data
  • Spatial and temporal variations in global soil respiration and their relationships with climate and land cover (2020), Science Advances
  • Land Use and Land Cover Change Modeling and Future Potential Landscape Risk Assessment Using Markov-CA Model and Analytical Hierarchy Process (2020), ISPRS International Journal of Geo-Information
  • Summer Maize Mapping by Compositing Time Series Sentinel-1A Imagery Based on Crop Growth Cycles (2021), Journal of the Indian Society of Remote Sensing

Best Publications

  • Estimating chlorophyll content from hyperspectral vegetation indices : Modeling and validation

    Chaoyang Wu;Zheng Niu;Quan Tang;Wenjiang Huang

  • Identification of yellow rust in wheat using in-situ spectral reflectance measurements and airborne hyperspectral imaging

    Wenjiang Huang;Wenjiang Huang;David W. Lamb;Zheng Niu;Yongjiang Zhang

  • Watershed Allied Telemetry Experimental Research

    Xin Li;Xiaowen Li;Xiaowen Li;Zengyuan Li;Mingguo Ma

  • Remote estimation of canopy height and aboveground biomass of maize using high-resolution stereo images from a low-cost unmanned aerial vehicle system

    Wang Li;Zheng Niu;Hanyue Chen;Dong Li

  • Use of MODIS and Landsat time series data to generate high-resolution temporal synthetic Landsat data using a spatial and temporal reflectance fusion model

    Mingquan Wu;Zheng Niu;Changyao Wang;Chaoyang Wu;Chaoyang Wu

  • Feature Selection of Time Series MODIS Data for Early Crop Classification Using Random Forest: A Case Study in Kansas, USA

    Pengyu Hao;Yulin Zhan;Li Wang;Zheng Niu

  • High-resolution mapping of forest canopy height using machine learning by coupling ICESat-2 LiDAR with Sentinel-1, Sentinel-2 and Landsat-8 data

    Wang Li;Wang Li;Zheng Niu;Rong Shang;Yuchu Qin

  • Remote estimation of gross primary production in wheat using chlorophyll-related vegetation indices

    Chaoyang Wu;Zheng Niu;Quan Tang;Wenjiang Huang;Wenjiang Huang

  • Comparison of multiple models for estimating gross primary production using MODIS and eddy covariance data in Harvard Forest

    Chaoyang Wu;J. William Munger;Zheng Niu;Da Kuang

  • Early-season mapping of winter wheat in China based on Landsat and Sentinel images

    Jie Dong;Yangyang Fu;Jingjing Wang;Haifeng Tian

  • Evaluating soil moisture status in China using the temperature-vegetation dryness index (TVDI)

    Changyao Wang;Shuhua Qi;Zheng Niu;Junbang Wang

  • Mapping Winter Crops in China with Multi-Source Satellite Imagery and Phenology-Based Algorithm

    Haifeng Tian;Ni Huang;Zheng Niu;Yuchu Qin

  • Spatial and temporal variations in global soil respiration and their relationships with climate and land cover

    Ni Huang;Li Wang;Xiao-Peng Song;T. Andrew Black

  • A new satellite-based monthly precipitation downscaling algorithm with non-stationary relationship between precipitation and land surface characteristics

    Shiguang Xu;Chaoyang Wu;Li Wang;Alemu Gonsamo

  • Estimating the Leaf Area Index, height and biomass of maize using HJ-1 and RADARSAT-2

    Shuai Gao;Zheng Niu;Ni Huang;Xuehui Hou

  • Evolving neural network using real coded genetic algorithm (GA) for multispectral image classification

    Zhengjun Liu;Aixia Liu;Changyao Wang;Zheng Niu

  • Gross primary production estimation from MODIS data with vegetation index and photosynthetically active radiation in maize

    Chaoyang Wu;Zheng Niu;Shuai Gao

  • Analysis of spatio-temporal dynamic pattern and driving forces of urban land in China in 1990s using TM images and GIS

    Unknown

  • Land Use and Land Cover Change Modeling and Future Potential Landscape Risk Assessment Using Markov-CA Model and Analytical Hierarchy Process

    Biswajit Nath;Zhihua Wang;Yong Ge;Kamrul Islam

  • Prediction of soil properties using laboratory VIS–NIR spectroscopy and Hyperion imagery

    Peng Lu;Li Wang;Zheng Niu;Linghao Li

  • Airborne LiDAR technique for estimating biomass components of maize: A case study in Zhangye City, Northwest China

    Wang Li;Zheng Niu;Ni Huang;Cheng Wang

Frequent Co-Authors

Wenjiang Huang
Wenjiang Huang Chinese Academy of Sciences
Chaoyang Wu
Chaoyang Wu Chinese Academy of Sciences
Cheng Wang
Cheng Wang Xiamen University
Liangyun Liu
Liangyun Liu Chinese Academy of Sciences
Guangjian Yan
Guangjian Yan Beijing Normal University
Yifang Ban
Yifang Ban Royal Institute of Technology
Qinhuo Liu
Qinhuo Liu Chinese Academy of Sciences
Yang Hong
Yang Hong University of Oklahoma
Xiaowen Li
Xiaowen Li Tsinghua University
David Lamb
David Lamb University of New England

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