Search Results - "Yan, Guangjian"

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  1. 1

    Review of indirect optical measurements of leaf area index: Recent advances, challenges, and perspectives by Yan, Guangjian, Hu, Ronghai, Luo, Jinghui, Weiss, Marie, Jiang, Hailan, Mu, Xihan, Xie, Donghui, Zhang, Wuming

    Published in Agricultural and forest meteorology (15-02-2019)
    “…•Latest progress and prospects of indirect LAI measurement.•Comprehensive review of theories, algorithms, instruments, and challenges.•Appealing new means of…”
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    Journal Article
  2. 2

    An Easy-to-Use Airborne LiDAR Data Filtering Method Based on Cloth Simulation by Zhang, Wuming, Qi, Jianbo, Wan, Peng, Wang, Hongtao, Xie, Donghui, Wang, Xiaoyan, Yan, Guangjian

    Published in Remote sensing (Basel, Switzerland) (15-06-2016)
    “…Separating point clouds into ground and non-ground measurements is an essential step to generate digital terrain models (DTMs) from airborne LiDAR (light…”
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    Journal Article
  3. 3

    Satellite-derived land surface temperature: Current status and perspectives by Li, Zhao-Liang, Tang, Bo-Hui, Wu, Hua, Ren, Huazhong, Yan, Guangjian, Wan, Zhengming, Trigo, Isabel F., Sobrino, José A.

    Published in Remote sensing of environment (15-04-2013)
    “…Land surface temperature (LST) is one of the key parameters in the physics of land surface processes from local through global scales. The importance of LST is…”
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    Journal Article
  4. 4

    Fractional vegetation cover estimation by using multi-angle vegetation index by Mu, Xihan, Song, Wanjuan, Gao, Zhan, McVicar, Tim R., Donohue, Randall J., Yan, Guangjian

    Published in Remote sensing of environment (01-10-2018)
    “…The vegetation index-based (VI-based) mixture model is widely used to derive green fractional vegetation cover (FVC) from remotely sensed data. Two critical…”
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    Journal Article
  5. 5

    Automatic Extraction of Power Lines From Aerial Images by Yan, Guangjian, Li, Chaoyang, Zhou, Guoqing, Zhang, Wuming, Li, Xiaowen

    Published in IEEE geoscience and remote sensing letters (01-07-2007)
    “…There has been little investigation for the automatic extraction of power lines from aerial images due to the low resolution of aerial images in the past…”
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    Journal Article
  6. 6

    Consistent retrieval methods to estimate land surface shortwave and longwave radiative flux components under clear-sky conditions by Wang, Tianxing, Yan, Guangjian, Chen, Ling

    Published in Remote sensing of environment (01-09-2012)
    “…Shortwave (0.3–3μm) and longwave (3–50μm) surface radiative flux components have been widely used in numerical prediction, meteorology, hydrology, biomass…”
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    Journal Article
  7. 7

    Indirect measurement of leaf area index on the basis of path length distribution by Hu, Ronghai, Yan, Guangjian, Mu, Xihan, Luo, Jinghui

    Published in Remote sensing of environment (01-12-2014)
    “…Accurate leaf area index (LAI) measurements are important for understanding and evaluating global mass and energy cycle. Foliage clumping serves an important…”
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    Journal Article
  8. 8

    Extracting the Green Fractional Vegetation Cover from Digital Images Using a Shadow-Resistant Algorithm (SHAR-LABFVC) by Song, Wanjuan, Mu, Xihan, Yan, Guangjian, Huang, Shuai

    Published in Remote sensing (Basel, Switzerland) (01-08-2015)
    “…Taking photographs with a commercially available digital camera is an efficient and objective method for determining the green fractional vegetation cover…”
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    Journal Article
  9. 9

    SLAM-aided forest plot mapping combining terrestrial and mobile laser scanning by Shao, Jie, Zhang, Wuming, Mellado, Nicolas, Wang, Nan, Jin, Shuangna, Cai, Shangshu, Luo, Lei, Lejemble, Thibault, Yan, Guangjian

    “…Precise structural information collected from plots is significant in the management of and decision-making regarding forest resources. Currently, laser…”
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    Journal Article
  10. 10

    A Novel Approach for the Detection of Standing Tree Stems from Plot-Level Terrestrial Laser Scanning Data by Zhang, Wuming, Wan, Peng, Wang, Tiejun, Cai, Shangshu, Chen, Yiming, Jin, Xiuliang, Yan, Guangjian

    Published in Remote sensing (Basel, Switzerland) (01-01-2019)
    “…Tree stem detection is a key step toward retrieving detailed stem attributes from terrestrial laser scanning (TLS) data. Various point-based methods have been…”
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    Journal Article
  11. 11

    A review of current methodologies for regional evapotranspiration estimation from remotely sensed data by Li, Zhao-Liang, Tang, Ronglin, Wan, Zhengming, Bi, Yuyun, Zhou, Chenghu, Tang, Bohui, Yan, Guangjian, Zhang, Xiaoyu

    Published in Sensors (19-05-2009)
    “…An overview of the commonly applied evapotranspiration (ET) models using remotely sensed data is given to provide insight into the estimation of ET on a…”
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    Journal Article Book Review
  12. 12

    Topographic radiation modeling and spatial scaling of clear-sky land surface longwave radiation over rugged terrain by Yan, Guangjian, Wang, Tianxing, Jiao, Zhonghu, Mu, Xihan, Zhao, Jing, Chen, Ling

    Published in Remote sensing of environment (01-01-2016)
    “…Longwave radiation (5–100μm) is a critical component of the Earth's radiation budget. Most of the existing satellite-based retrieval algorithms are valid only…”
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    Journal Article
  13. 13

    Simulating High-Resolution Sun-Induced Chlorophyll Fluorescence Image of Three-Dimensional Canopy Based on Photon Mapping by Luo, Yaotao, Xie, Donghui, Qi, Jianbo, Yan, Guangjian, Mu, Xihan

    Published in Remote sensing (Basel, Switzerland) (01-10-2024)
    “…The remote sensing of sun-induced chlorophyll fluorescence (SIF) is an emerging technique with immense potential for terrestrial vegetation sciences. However,…”
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    Journal Article
  14. 14

    Evaluation of MODIS LAI/FPAR Product Collection 6. Part 2: Validation and Intercomparison by Yan, Kai, Park, Taejin, Yan, Guangjian, Liu, Zhao, Yang, Bin, Chen, Chi, Nemani, Ramakrishna R, Knyazikhin, Yuri, Myneni, Ranga B

    “…The aim of this paper is to assess the latest version of the MODIS LAI/FPAR product (MOD15A2H), namely Collection 6 (C6). We comprehensively evaluate this…”
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    Journal Article
  15. 15

    A novel method for extracting green fractional vegetation cover from digital images by Liu, Yaokai, Mu, Xihan, Wang, Haoxing, Yan, Guangjian

    Published in Journal of vegetation science (01-06-2012)
    “…Question: Although digital photography is an efficient and objective means of extracting green fractional vegetation cover (FVC), it lacks automation and…”
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    Journal Article
  16. 16

    Quantifying Understory and Overstory Vegetation Cover Using UAV-Based RGB Imagery in Forest Plantation by Li, Linyuan, Chen, Jun, Mu, Xihan, Li, Weihua, Yan, Guangjian, Xie, Donghui, Zhang, Wuming

    Published in Remote sensing (Basel, Switzerland) (01-01-2020)
    “…Vegetation cover estimation for overstory and understory layers provides valuable information for modeling forest carbon and water cycles and refining forest…”
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    Journal Article
  17. 17

    Generalized Fine-Resolution FPAR Estimation Using Google Earth Engine: Random Forest or Multiple Linear Regression by Wang, Yiting, Zhan, Yinggang, Yan, Guangjian, Xie, Donghui

    “…Accurate estimation of fine-resolution fraction of absorbed photosynthetically active radiation (FPAR) is urgently needed for modeling land surface processes…”
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    Journal Article
  18. 18

    Ultrahigh-resolution boreal forest canopy mapping: Combining UAV imagery and photogrammetric point clouds in a deep-learning-based approach by Li, Linyuan, Mu, Xihan, Chianucci, Francesco, Qi, Jianbo, Jiang, Jingyi, Zhou, Jiaxin, Chen, Ling, Huang, Huaguo, Yan, Guangjian, Liu, Shouyang

    “…•Self-supervised deep learning for forest canopy mapping using UAVs is proposed.•2D images and 3D SfM point clouds are combined for automated training set…”
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    Journal Article
  19. 19

    Evaluation of MODIS LAI/FPAR Product Collection 6. Part 1: Consistency and Improvements by Yan, Kai, Park, Taejin, Yan, Guangjian, Chen, Chi, Yang, Bin, Liu, Zhao, Nemani, Ramakrishna R, Knyazikhin, Yuri, Myneni, Ranga B

    “…As the latest version of Moderate Resolution Imaging Spectroradiometer (MODIS) Leaf Area Index (LAI) and Fraction of Photosynthetically Active Radiation (FPAR)…”
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    Journal Article
  20. 20

    Assessment of remote-sensed vegetation indices for estimating forest chlorophyll concentration by Gao, Si, Yan, Kai, Liu, Jinxiu, Pu, Jiabin, Zou, Dongxiao, Qi, Jianbo, Mu, Xihan, Yan, Guangjian

    Published in Ecological indicators (01-05-2024)
    “…•3D RT simulations are used to assess the VI performance for estimating forest chlorophyll concentration.•Influences of saturation effect, soil backgrounds,…”
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    Journal Article