Search Results - "XIAO, Zhiqiang"

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  1. 1

    Long-Time-Series Global Land Surface Satellite Leaf Area Index Product Derived From MODIS and AVHRR Surface Reflectance by Xiao, Zhiqiang, Liang, Shunlin, Wang, Jindi, Xiang, Yang, Zhao, Xiang, Song, Jinling

    “…Leaf area index (LAI) is an important vegetation biophysical variable and has been widely used for crop growth monitoring and yield estimation, land-surface…”
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    Journal Article
  2. 2

    Use of General Regression Neural Networks for Generating the GLASS Leaf Area Index Product From Time-Series MODIS Surface Reflectance by Xiao, Zhiqiang, Liang, Shunlin, Wang, Jindi, Chen, Ping, Yin, Xuejun, Zhang, Liqiang, Song, Jinling

    “…Leaf area index (LAI) products at regional and global scales are being routinely generated from individual instrument data acquired at a specific time. As a…”
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  3. 3

    Targeting EphA2 in cancer by Xiao, Ta, Xiao, Yuhang, Wang, Wenxiang, Tang, Yan Yan, Xiao, Zhiqiang, Su, Min

    Published in Journal of hematology and oncology (18-08-2020)
    “…Eph receptors and the corresponding Eph receptor-interacting (ephrin) ligands jointly constitute a critical cell signaling network that has multiple functions…”
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  4. 4

    The Global Land Surface Satellite (GLASS) Product Suite by Liang, Shunlin, Cheng, Jie, Jia, Kun, Jiang, Bo, Liu, Qiang, Xiao, Zhiqiang, Yao, Yunjun, Yuan, Wenping, Zhang, Xiaotong, Zhao, Xiang, Zhou, Ji

    “…The Global Land Surface Satellite (GLASS) product suite currently contains 12 products, including leaf area index, fraction of absorbed photosynthetically…”
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  5. 5

    Detection and attribution of vegetation greening trend in China over the last 30 years by Piao, Shilong, Yin, Guodong, Tan, Jianguang, Cheng, Lei, Huang, Mengtian, Li, Yue, Liu, Ronggao, Mao, Jiafu, Myneni, Ranga B, Peng, Shushi, Poulter, Ben, Shi, Xiaoying, Xiao, Zhiqiang, Zeng, Ning, Zeng, ZhenZhong, Wang, Yingping

    Published in Global change biology (01-04-2015)
    “…The reliable detection and attribution of changes in vegetation growth is a prerequisite for the development of strategies for the sustainable management of…”
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  6. 6

    A Method to Downscale MODIS Surface Reflectance Using Convolutional Neural Networks by Zhang, Yunteng, Xiao, Zhiqiang

    Published in Remote sensing (Basel, Switzerland) (01-04-2023)
    “…Surface reflectance is an important indicator for the physical states of the Earth’s surface. The Moderate Resolution Imaging Spectroradiometer (MODIS) surface…”
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  7. 7

    Reprocessing the MODIS Leaf Area Index products for land surface and climate modelling by Yuan, Hua, Dai, Yongjiu, Xiao, Zhiqiang, Ji, Duoying, Shangguan, Wei

    Published in Remote sensing of environment (15-05-2011)
    “…Land surface and climate modelling requires continuous and consistent Leaf Area Index (LAI). High spatiotemporal resolution and long-time record data are more…”
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  8. 8

    Evaluation of MODIS and two reanalysis aerosol optical depth products over AERONET sites by Shi, Hanyu, Xiao, Zhiqiang, Zhan, Xuchen, Ma, Han, Tian, Xiaodan

    Published in Atmospheric research (15-05-2019)
    “…This study selects 400 sites from Aerosol Robotic Network (AERONET) over 2002–2015 to develop an aerosol optical depth (AOD) evaluation dataset, which is used…”
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  9. 9

    Evaluation and Comparison of Light Use Efficiency and Gross Primary Productivity Using Three Different Approaches by Wang, Mengjia, Sun, Rui, Zhu, Anran, Xiao, Zhiqiang

    Published in Remote sensing (Basel, Switzerland) (01-03-2020)
    “…Light use efficiency (LUE), which characterizes the efficiency with which vegetation converts captured/absorbed radiation into organic dry matter through…”
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  10. 10

    Mapping Leaf Mass Per Area and Equivalent Water Thickness from PRISMA and EnMAP by Yang, Xi, Shi, Hanyu, Xiao, Zhiqiang

    Published in Remote sensing (Basel, Switzerland) (01-11-2024)
    “…With the continued advancement of spaceborne hyperspectral sensors, hyperspectral remote sensing is evolving as an increasingly pivotal tool for high-precision…”
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    Journal Article
  11. 11

    A Multiscale and Hierarchical Feature Extraction Method for Terrestrial Laser Scanning Point Cloud Classification by Zhen Wang, Liqiang Zhang, Tian Fang, Mathiopoulos, P. Takis, Xiaohua Tong, Huamin Qu, Zhiqiang Xiao, Fang Li, Dong Chen

    “…The effective extraction of shape features is an important requirement for the accurate and efficient classification of terrestrial laser scanning (TLS) point…”
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  12. 12

    Exploring the Effects of Topography on Leaf Area Index Retrieved from Remote Sensing Data at Various Spatial Scales over Rugged Terrains by Zheng, Yajie, Xiao, Zhiqiang, Shi, Hanyu, Song, Jinling

    Published in Remote sensing (Basel, Switzerland) (01-04-2024)
    “…Topography significantly affects remotely sensed reflectance data and subsequently impacts the retrieval of the leaf area index (LAI) from surface reflectance…”
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  13. 13

    Simulating spatially distributed solar-induced chlorophyll fluorescence using a BEPS-SCOPE coupling framework by Cui, Tianxiang, Sun, Rui, Xiao, Zhiqiang, Liang, Ziyu, Wang, Jian

    Published in Agricultural and forest meteorology (15-12-2020)
    “…•An approach for coupling BEPS and SCOPE was presented.•The BEPS-SCOPE coupling model provided an efficient solution for regional/global SIF and GPP…”
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  14. 14

    Estimation of Forest Canopy Height and Aboveground Biomass from Spaceborne LiDAR and Landsat Imageries in Maryland by Wang, Mengjia, Sun, Rui, Xiao, Zhiqiang

    Published in Remote sensing (Basel, Switzerland) (01-02-2018)
    “…Mapping the regional distribution of forest canopy height and aboveground biomass is worthwhile and necessary for estimating the carbon stocks on Earth and…”
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  15. 15
  16. 16

    SARS-CoV-2: characteristics and current advances in research by Yang, Yicheng, Xiao, Zhiqiang, Ye, Kaiyan, He, Xiaoen, Sun, Bo, Qin, Zhiran, Yu, Jianghai, Yao, Jinxiu, Wu, Qinghua, Bao, Zhang, Zhao, Wei

    Published in Virology journal (29-07-2020)
    “…Coronavirus disease 2019 (COVID-19) caused by SARS-CoV-2 infection has spread rapidly across the world and become an international public health emergency…”
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  17. 17

    Global Land Surface Fractional Vegetation Cover Estimation Using General Regression Neural Networks From MODIS Surface Reflectance by Jia, Kun, Liang, Shunlin, Liu, Suhong, Li, Yuwei, Xiao, Zhiqiang, Yao, Yunjun, Jiang, Bo, Zhao, Xiang, Wang, Xiaoxia, Xu, Shuai, Cui, Jiao

    “…Fractional vegetation cover (FVC) plays an important role in earth surface process simulations, climate modeling, and global change studies. Several global FVC…”
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  18. 18

    Estimation of Global Vegetation Productivity from Global LAnd Surface Satellite Data by Yu, Tao, Sun, Rui, Xiao, Zhiqiang, Zhang, Qiang, Liu, Gang, Cui, Tianxiang, Wang, Juanmin

    Published in Remote sensing (Basel, Switzerland) (01-02-2018)
    “…Accurately estimating vegetation productivity is important in research on terrestrial ecosystems, carbon cycles and climate change. Eight-day gross primary…”
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  19. 19

    Oligonucleotides and ND-FISH Displaying Different Arrangements of Tandem Repeats and Identification of Dasypyrum villosum Chromosomes in Wheat Backgrounds by Xiao, Zhiqiang, Tang, Shuyao, Qiu, Ling, Tang, Zongxiang, Fu, Shulan

    Published in Molecules (Basel, Switzerland) (14-06-2017)
    “…Oligonucleotide probes and the non-denaturing fluorescence in situ hybridization (ND-FISH) technique are widely used to analyze plant chromosomes because they…”
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  20. 20

    A Method for Consistent Estimation of Multiple Land Surface Parameters From MODIS Top-of-Atmosphere Time Series Data by Shi, Hanyu, Xiao, Zhiqiang, Liang, Shunlin, Ma, Han

    “…Most methods for generating global land surface products from satellite data are parameter specific and do not use multiple temporal observations, which often…”
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