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中国科学院植物研究所机构知识库
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Simulating highly disturbed vegetation distribution: the case of China's Jing-Jin-Ji region
期刊论文
PEERJ, 2020, 卷号: 8
Authors:
Yi, Sangui
;
Zhou, Jihua
;
Lai, Liming
;
Du, Hui
;
Sun, Qinglin
;
Yang, Liu
;
Liu, Xin
;
Liu, Benben
;
Zheng, Yuanrun
Adobe PDF(1988Kb)
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Submit date:2022/03/01
Vegetation distribution model
Vegetation classification unit
Important predictor variable
Jing-Jin-Ji region
An Impartial Semi-Supervised Learning Strategy for Imbalanced Classification on VHR Images
期刊论文
SENSORS, 2020, 卷号: 20, 期号: 22
Authors:
Sun, Fei
;
Fang, Fang
;
Wang, Run
;
Wan, Bo
;
Guo, Qinghua
;
Li, Hong
;
Wu, Xincai
Adobe PDF(5707Kb)
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Submit date:2022/03/01
image classification
class imbalance
impartial semi-supervised learning strategy (ISS)
extreme gradient boosting (XGB)
very-high-resolution (VHR)
Application of deep learning in ecological resource research: Theories, methods, and challenges
期刊论文
SCIENCE CHINA-EARTH SCIENCES, 2020, 卷号: 63, 期号: 10, 页码: 1457-1474
Authors:
Guo, Qinghua
;
Jin, Shichao
;
Li, Min
;
Yang, Qiuli
;
Xu, Kexin
;
Ju, Yuanzhen
;
Zhang, Jing
;
Xuan, Jing
;
Liu, Jin
;
Su, Yanjun
;
Xu, Qiang
;
Liu, Yu
Adobe PDF(4690Kb)
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Submit date:2022/03/01
Ecological resources
Deep learning
Neural network
Big data
Theory and tools
Application and challenge
A Framework for Land Use Scenes Classification Based on Landscape Photos
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2020, 卷号: 13, 页码: 6124-6141
Authors:
Xu, Shiwu
;
Zhang, Shihui
;
Zeng, Jue
;
Li, Tingyu
;
Guo, Qinghua
;
Jin, Shichao
Adobe PDF(6559Kb)
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Submit date:2022/03/01
Semantics
Remote sensing
Image analysis
Image segmentation
Object recognition
Machine learning
Forestry
Deep convolutional neural networks (DCNNs)
landscape photos
land survey
land use scene classification
ADMorph: A 3D Digital Microfossil Morphology Dataset for Deep Learning
期刊论文
IEEE ACCESS, 2020, 卷号: 8, 页码: 148744-148756
Authors:
Hou, Yemao
;
Cui, Xindong
;
Canul-Ku, Mario
;
Jin, Shichao
;
Hasimoto-Beltran, Rogelio
;
Guo, Qinghua
;
Zhu, Min
Adobe PDF(1648Kb)
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Submit date:2022/03/01
Three-dimensional displays
Solid modeling
Computational modeling
Machine learning
Two dimensional displays
Biological system modeling
Shape
Archives of digital morphology
data preprocessing
feature extraction
3D microfossil model classification
deep learning
Estimating Ecosystem Respiration in the Grasslands of Northern China Using Machine Learning: Model Evaluation and Comparison
期刊论文
SUSTAINABILITY, 2020, 卷号: 12, 期号: 5
Authors:
Zhu, Xiaobo
;
He, Honglin
;
Ma, Mingguo
;
Ren, Xiaoli
;
Zhang, Li
;
Zhang, Fawei
;
Li, Yingnian
;
Shi, Peili
;
Chen, Shiping
;
Wang, Yanfen
;
Xin, Xiaoping
;
Ma, Yaoming
;
Zhang, Yu
;
Du, Mingyuan
;
Ge, Rong
;
Zeng, Na
;
Li, Pan
;
Niu, Zhongen
;
Zhang, Liyun
;
Lv, Yan
;
Song, Zengjing
;
Gu, Qing
Adobe PDF(1290Kb)
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Submit date:2022/03/01
ecosystem respiration
machine learning
deep learning
grasslands
northern China
Mapping the Global Mangrove Forest Aboveground Biomass Using Multisource Remote Sensing Data
期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 10
Authors:
Hu, Tianyu
;
Zhang, YingYing
;
Su, Yanjun
;
Zheng, Yi
;
Lin, Guanghui
;
Guo, Qinghua
Adobe PDF(3278Kb)
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Submit date:2022/03/01
mangrove
LiDAR
random forest
GLAS
aboveground biomass
Non-destructive estimation of field maize biomass using terrestrial lidar: an evaluation from plot level to individual leaf level
期刊论文
PLANT METHODS, 2020, 卷号: 16, 期号: 1
Authors:
Jin, Shichao
;
Su, Yanjun
;
Song, Shilin
;
Xu, Kexin
;
Hu, Tianyu
;
Yang, Qiuli
;
Wu, Fangfang
;
Xu, Guangcai
;
Ma, Qin
;
Guan, Hongcan
;
Pang, Shuxin
;
Li, Yumei
;
Guo, Qinghua
Adobe PDF(4774Kb)
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Submit date:2022/03/01
Biomass
Phenotype
Machine learning
Terrestrial lidar
Precision agriculture
Estimation of degraded grassland aboveground biomass using machine learning methods from terrestrial laser scanning data
期刊论文
ECOLOGICAL INDICATORS, 2020, 卷号: 108
Authors:
Xu, Kexin
;
Su, Yanjun
;
Liu, Jin
;
Hu, Tianyu
;
Jin, Shichao
;
Ma, Qin
;
Zhai, Qiuping
;
Wang, Rui
;
Zhang, Jing
;
Li, Yumei
;
Liu, Hon An
;
Guo, Qinghua
Adobe PDF(4794Kb)
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Submit date:2022/03/01
Aboveground biomass (AGB)
Degraded grassland
Machine learning
Northern agro-pastoral ecotone
Terrestrial laser scanning (TLS)
Global soil-climate-biome diagram: linking surface soil properties to climate and biota
期刊论文
BIOGEOSCIENCES, 2019, 卷号: 16, 期号: 14, 页码: 2857-2871
Authors:
Zhao, Xia
;
Yang, Yuanhe
;
Shen, Haihua
;
Geng, Xiaoqing
;
Fang, Jingyun
Adobe PDF(7260Kb)
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Submit date:2022/01/06