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Environmental Sciences

D-Index
51
Citations
9380
World Ranking
4750
National Ranking
200

Overview

Jiali Shang is affiliated with Agriculture and Agriculture-Food Canada in Canada, focusing on research primarily in the environmental and agricultural sciences. Their work encompasses a significant volume of publications emphasizing remote sensing technologies and their applications within agricultural contexts.

The main fields of study for Jiali Shang include:

  • Environmental Science
  • Agricultural and Biological Sciences

Within these fields, the prominent subfields of their research are:

  • Environmental Engineering
  • Ecology
  • Global and Planetary Change
  • Plant Science
  • Aerospace Engineering

Their research topics cover a range of areas centered around remote sensing and agricultural applications:

  • Remote Sensing in Agriculture
  • Remote Sensing and LiDAR Applications
  • Soil Moisture and Remote Sensing
  • Plant Water Relations and Carbon Dynamics
  • Synthetic Aperture Radar (SAR) Applications and Techniques
  • Soil Geostatistics and Mapping
  • Leaf Properties and Growth Measurement

Jiali Shang has collaborated frequently with several co-authors, including:

  • Jiangui Liu
  • Jinfei Wang
  • Taifeng Dong
  • Yongxian Su
  • Budong Qian

The most frequent publication venues for their work are:

  • Remote Sensing
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • International Journal of Applied Earth Observation and Geoinformation
  • ISPRS Journal of Photogrammetry and Remote Sensing
  • Computers and Electronics in Agriculture

Recent papers authored or co-authored by Jiali Shang include:

  • "Recent Advances of Hyperspectral Imaging Technology and Applications in Agriculture," 2020, Remote Sensing
  • "Review of Remote Sensing Applications in Grassland Monitoring," 2022, Remote Sensing
  • "Estimating Crop Biomass Using Leaf Area Index Derived from Landsat 8 and Sentinel-2 Data," 2020, ISPRS Journal of Photogrammetry and Remote Sensing
  • "Using Machine Learning for Estimating Rice Chlorophyll Content from In Situ Hyperspectral Data," 2020, Remote Sensing
  • "Estimating Soil Moisture Over Winter Wheat Fields During Growing Season Using Machine-Learning Methods," 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Best Publications

  • Recent Advances of Hyperspectral Imaging Technology and Applications in Agriculture

    Bing Lu;Phuong D. Dao;Jiangui Liu;Yuhong He

  • Integration of optical and Synthetic Aperture Radar (SAR) imagery for delivering operational annual crop inventories

    Heather McNairn;Catherine Champagne;Jiali Shang;Delmar Holmstrom

  • Compact polarimetry overview and applications assessment

    F. J. Charbonneau;B. Brisco;R. K. Raney;H. McNairn

  • The Soil Moisture Active Passive Validation Experiment 2012 (SMAPVEX12): Prelaunch Calibration and Validation of the SMAP Soil Moisture Algorithms

    Heather McNairn;Thomas J. Jackson;Grant Wiseman;Stephane Belair

  • Assessment of red-edge vegetation indices for crop leaf area index estimation.

    Taifeng Dong;Jiangui Liu;Jiali Shang;Budong Qian

  • The Contribution of ALOS PALSAR Multipolarization and Polarimetric Data to Crop Classification

    H. McNairn;Jiali Shang;Xianfeng Jiao;C. Champagne

  • RADARSAT-2 Polarimetric SAR Response to Crop Biomass for Agricultural Production Monitoring

    Grant Wiseman;Heather McNairn;Saeid Homayouni;Jiali Shang

  • Object-oriented crop mapping and monitoring using multi-temporal polarimetric RADARSAT-2 data

    Xianfeng Jiao;John M. Kovacs;Jiali Shang;Heather McNairn

  • Review of Remote Sensing Applications in Grassland Monitoring

    Unknown

  • Early season monitoring of corn and soybeans with TerraSAR-X and RADARSAT-2

    Heather McNairn;Angela Kross;David Lapen;R. Caves

  • Estimating winter wheat biomass by assimilating leaf area index derived from fusion of Landsat-8 and MODIS data

    Taifeng Dong;Jiangui Liu;Budong Qian;Ting Zhao

  • Tracking crop phenological development using multi-temporal polarimetric Radarsat-2 data

    Francis Canisius;Jiali Shang;Jiangui Liu;Xiaodong Huang

  • A Review of Multitemporal Synthetic Aperture Radar (SAR) for Crop Monitoring

    Heather McNairn;Jiali Shang

  • AAFC annual crop inventory

    T. Fisette;P. Rollin;Z. Aly;L. Campbell

  • Multiyear Crop Monitoring Using Polarimetric RADARSAT-2 Data

    Chen Liu;Jiali Shang;P. W. Vachon;H. McNairn

  • Estimating crop biomass using leaf area index derived from Landsat 8 and Sentinel-2 data

    Taifeng Dong;Jiangui Liu;Budong Qian;Liming He

  • The sensitivity of RADARSAT-2 polarimetric SAR data to corn and soybean leaf area index

    Xianfeng Jiao;Heather McNairn;Jiali Shang;Elizabeth Pattey

  • Using spatio-temporal fusion of Landsat-8 and MODIS data to derive phenology, biomass and yield estimates for corn and soybean.

    Chunhua Liao;Jinfei Wang;Taifeng Dong;Jiali Shang

  • Towards operational radar-only crop type classification: comparison of a traditional decision tree with a random forest classifier

    B. Deschamps;H. McNairn;J. Shang;X. Jiao

  • Canadian Experiment for Soil Moisture in 2010 (CanEx-SM10): Overview and Preliminary Results

    R. Magagi;A. A. Berg;K. Goita;S. Belair

  • Assessment of Portable Chlorophyll Meters for Measuring Crop Leaf Chlorophyll Concentration

    Taifeng Dong;Jiali Shang;Jing M. Chen;Jiangui Liu

  • Mapping spatial variability of crop growth conditions using RapidEye data in Northern Ontario, Canada

    Jiali Shang;Jiangui Liu;Baoluo Ma;Ting Zhao

Frequent Co-Authors

Budong Qian
Budong Qian Agriculture and Agriculture-Food Canada
Qi Jing
Qi Jing Environment and Climate Change Canada
Heather McNairn
Heather McNairn Environment and Climate Change Canada
Bao-Luo Ma
Bao-Luo Ma Agriculture and Agriculture-Food Canada
Elizabeth Pattey
Elizabeth Pattey Agriculture and Agriculture-Food Canada
Jing M. Chen
Jing M. Chen University of Toronto
Raffaele Lafortezza
Raffaele Lafortezza University of Bari Aldo Moro
Juan M. Lopez-Sanchez
Juan M. Lopez-Sanchez University of Alicante
Bingfang Wu
Bingfang Wu Chinese Academy of Sciences
Brian McConkey
Brian McConkey Viresco Solutions Inc.

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