Search Results - "XIAO, Zhiqiang"
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Long-Time-Series Global Land Surface Satellite Leaf Area Index Product Derived From MODIS and AVHRR Surface Reflectance
Published in IEEE transactions on geoscience and remote sensing (01-09-2016)“…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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Use of General Regression Neural Networks for Generating the GLASS Leaf Area Index Product From Time-Series MODIS Surface Reflectance
Published in IEEE transactions on geoscience and remote sensing (01-01-2014)“…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
Targeting EphA2 in cancer
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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The Global Land Surface Satellite (GLASS) Product Suite
Published in Bulletin of the American Meteorological Society (01-02-2021)“…The Global Land Surface Satellite (GLASS) product suite currently contains 12 products, including leaf area index, fraction of absorbed photosynthetically…”
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Detection and attribution of vegetation greening trend in China over the last 30 years
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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A Method to Downscale MODIS Surface Reflectance Using Convolutional Neural Networks
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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Reprocessing the MODIS Leaf Area Index products for land surface and climate modelling
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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Evaluation of MODIS and two reanalysis aerosol optical depth products over AERONET sites
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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Evaluation and Comparison of Light Use Efficiency and Gross Primary Productivity Using Three Different Approaches
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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Mapping Leaf Mass Per Area and Equivalent Water Thickness from PRISMA and EnMAP
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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A Multiscale and Hierarchical Feature Extraction Method for Terrestrial Laser Scanning Point Cloud Classification
Published in IEEE transactions on geoscience and remote sensing (01-05-2015)“…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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Exploring the Effects of Topography on Leaf Area Index Retrieved from Remote Sensing Data at Various Spatial Scales over Rugged Terrains
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
Simulating spatially distributed solar-induced chlorophyll fluorescence using a BEPS-SCOPE coupling framework
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
Estimation of Forest Canopy Height and Aboveground Biomass from Spaceborne LiDAR and Landsat Imageries in Maryland
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
Increased atmospheric vapor pressure deficit reduces global vegetation growth
Published in Science advances (14-08-2019)“…Atmospheric vapor pressure deficit (VPD) is a critical variable in determining plant photosynthesis. Synthesis of four global climate datasets reveals a sharp…”
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16
SARS-CoV-2: characteristics and current advances in research
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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Global Land Surface Fractional Vegetation Cover Estimation Using General Regression Neural Networks From MODIS Surface Reflectance
Published in IEEE transactions on geoscience and remote sensing (01-09-2015)“…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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Estimation of Global Vegetation Productivity from Global LAnd Surface Satellite Data
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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Oligonucleotides and ND-FISH Displaying Different Arrangements of Tandem Repeats and Identification of Dasypyrum villosum Chromosomes in Wheat Backgrounds
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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A Method for Consistent Estimation of Multiple Land Surface Parameters From MODIS Top-of-Atmosphere Time Series Data
Published in IEEE transactions on geoscience and remote sensing (01-09-2017)“…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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