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Tiangang Liang

Observed names: Liang Tian-gang, Liang Tiangang, T. G. Liang, TIANGANG LIANG, Tian-Gang Liang, 梁天刚
ORCID: 0000-0001-5599-6587
Observed ORCID: 0000-0001-5599-6587
OpenAlex ID: A5101487547
Modeling grassland above-ground biomass based on artificial neural network and remote sensing in the Three-River Headwaters Region
2017 · Shuxia Yang, Qisheng Feng, et al. · Remote Sensing of Environment · 243
Quantitative spatial analysis of vegetation dynamics and potential driving factors in a typical alpine region on the northeastern Tibetan Plateau using the Google Earth Engine
2021 · Chenli Liu, Wenlong Li, et al. · CATENA · 165
Modeling alpine grassland cover based on MODIS data and support vector machine regression in the headwater region of the Huanghe River, China
2018 · Jing Ge, Baoping Meng, et al. · Remote Sensing of Environment · 148
Spatiotemporal dynamics of grassland aboveground biomass and its driving factors in North China over the past 20 years
2022 · Jing Ge, Mengjing Hou, et al. · The Science of The Total Environment · 107
Estimates of grassland biomass and turnover time on the Tibetan Plateau
2017 · Jiangzhou Xia, Minna Ma, et al. · Environmental Research Letters · 101
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Impact of restoration measures on plant and soil characteristics in the degraded alpine grasslands of the Qinghai Tibetan Plateau: A meta-analysis
2023 · Wenlong Li, Xuejing Shang, et al. · Agriculture Ecosystems & Environment · 91
Modeling alpine grassland forage phosphorus based on hyperspectral remote sensing and a multi-factor machine learning algorithm in the east of Tibetan Plateau, China
2018 · Jinlong Gao, Baoping Meng, et al. · ISPRS Journal of Photogrammetry and Remote Sensing · 90
A method to avoid spatial overfitting in estimation of grassland above-ground biomass on the Tibetan Plateau
2021 · Hui Yu, Yufeng Wu, et al. · Ecological Indicators · 76
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Modeling Alpine Grassland Above Ground Biomass Based on Remote Sensing Data and Machine Learning Algorithm: A Case Study in East of the Tibetan Plateau, China
2020 · Baoping Meng, Tiangang Liang, et al. · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 72
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Land Use/Land Cover Mapping Based on GEE for the Monitoring of Changes in Ecosystem Types in the Upper Yellow River Basin over the Tibetan Plateau
2022 · Senyao Feng, Wenlong Li, et al. · Remote Sensing · 66
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Modeling of Alpine Grassland Cover Based on Unmanned Aerial Vehicle Technology and Multi-Factor Methods: A Case Study in the East of Tibetan Plateau, China
2018 · Baoping Meng, Jinlong Gao, et al. · Remote Sensing · 61
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Study on the estimation of precipitation resources for rainwater harvesting agriculture in semi-arid land of China
2004 · Hong Wei, Jian-Long Li, et al. · Agricultural Water Management · 55
Grassland vegetation phenological variations and responses to climate change in the Xinjiang region, China
2019 · Renping Zhang, Jing Guo, et al. · Quaternary International · 44
Satellite‐derived NDVI underestimates the advancement of alpine vegetation growth over the past three decades
2021 · Hao Wang, Huiying Liu, et al. · Ecology · 43
Potential of hyperspectral data and machine learning algorithms to estimate the forage carbon-nitrogen ratio in an alpine grassland ecosystem of the Tibetan Plateau
2020 · Jinlong Gao, Tiangang Liang, et al. · ISPRS Journal of Photogrammetry and Remote Sensing · 34
Modelling global-scale potential grassland changes in spatio-temporal patterns to global climate change
2012 · Huilong Lin, Qisheng Feng, et al. · International Journal of Sustainable Development & World Ecology · 33
Mapping the forage nitrogen, phosphorus, and potassium contents of alpine grasslands by integrating Sentinel-2 and Tiangong-2 data
2023 · Xuanfan Zhang, Tiangang Liang, et al. · Plant Methods · 31
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Estimating the Forage Neutral Detergent Fiber Content of Alpine Grassland in the Tibetan Plateau Using Hyperspectral Data and Machine Learning Algorithms
2021 · Jie Liu, Qisheng Feng, et al. · IEEE Transactions on Geoscience and Remote Sensing · 30
Can Machine Learning Algorithms Successfully Predict Grassland Aboveground Biomass?
2022 · Yue Wang, Rongzhu Qin, et al. · Remote Sensing · 29
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Mapping the Forage Nitrogen-Phosphorus Ratio Based on Sentinel-2 MSI Data and a Random Forest Algorithm in an Alpine Grassland Ecosystem of the Tibetan Plateau
2020 · Jinlong Gao, Jie Liu, et al. · Remote Sensing · 26
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A Classification Indices-based Model for Net Primary Productivity (npp) and Potential Productivity of Vegetation in China
2012 · HUILONG LIN, JUN ZHAO, et al. · International Journal of Biomathematics · 24
Estimation of Alpine Grassland Forage Nitrogen Coupled with Hyperspectral Characteristics during Different Growth Periods on the Tibetan Plateau
2019 · Jinlong Gao, Tiangang Liang, et al. · Remote Sensing · 23
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The urgent need to develop a new grassland map in China: based on the consistency and accuracy of ten land cover products
2022 · Mengjing Hou, Jing Ge, et al. · Science China Life Sciences · 21
Dynamics of natural vegetation on the T ibetan P lateau from past to future using a comprehensive and sequential classification system and remote sensing data
2012 · Tiangang Liang, Qisheng Feng, et al. · Grassland Science · 21
Comprehensive Ecological Risk Changes and Their Relationship with Ecosystem Services of Alpine Grassland in Gannan Prefecture from 2000–2020
2024 · Zhanping Ma, Jinlong Gao, et al. · Remote Sensing · 20
Works count: 89
Citation count: 1,929
H-index: 22
I10-index: 37
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