Liang Liang

ORCID: 0000-0003-0331-3312
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About
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Research Areas
  • Remote Sensing in Agriculture
  • Remote Sensing and Land Use
  • Land Use and Ecosystem Services
  • Leaf Properties and Growth Measurement
  • Efficiency Analysis Using DEA
  • Remote Sensing and LiDAR Applications
  • Climate variability and models
  • Plant Water Relations and Carbon Dynamics
  • Hydrology and Drought Analysis
  • Spectroscopy and Chemometric Analyses
  • Species Distribution and Climate Change
  • Fiscal Policy and Economic Growth
  • Geochemistry and Geochronology of Asian Mineral Deposits
  • Environmental Changes in China
  • Environmental and Agricultural Sciences
  • Cryospheric studies and observations
  • Statistical Methods and Inference
  • Regional Economic and Spatial Analysis
  • Energy, Environment, Economic Growth
  • Climate Change Policy and Economics
  • Evaluation Methods in Various Fields
  • Environmental Impact and Sustainability
  • Nuclear Physics and Applications
  • Radioactive element chemistry and processing
  • Bayesian Methods and Mixture Models

Jiangsu Normal University
2015-2024

Zhejiang Institute of Hydraulics & Estuary
2024

Lanzhou University of Technology
2024

Hefei University of Technology
2016-2024

University of Science and Technology Beijing
2024

Lyceum of the Philippines University
2023

Guangdong Polytechnic Normal University
2022

Anhui University of Finance and Economics
2022

George Mason University
2015-2020

Yunnan University
2020

We report a single-step strategy called self-assembled molecular team to generate boronate affinity ligands that can specifically capture cis-diol biomolecules at neutral pH, which provides three significant advantages: simple procedure, high and specificity.

10.1039/c0cc02540b article EN Chemical Communications 2011-01-01

Novel hyperspectral indices, which are the first derivative normalized difference nitrogen index (FD-NDNI) and ratio vegetation (FD-SRNI), were developed to estimate leaf content (LNC) of wheat. The field stress experiments conducted with different water application rates across growing season wheat 190 measurements collected on canopy spectra LNC under various treatments. inversion models constructed based dataset evaluate ability spectral indices LNC. A comparative analysis showed that...

10.3390/rs10121940 article EN cc-by Remote Sensing 2018-12-03

A hybrid inversion method was developed to estimate the leaf chlorophyll content (LCC) and canopy (CCC) of crops. Fifty hyperspectral vegetation indices (VIs), such as photochemical reflectance index (PRI) (CCI), were compared identify appropriate VIs for crop LCC CCC inversion. The models then generated from different modelling methods, including curve-fitting least squares support vector regression (LS-SVR) random forest (RFR) algorithms, by using simulated Compact High Resolution Imaging...

10.1080/01431161.2016.1186850 article EN International Journal of Remote Sensing 2016-06-28

Underground mining activities usually induce large surface displacements thus causing serious safety hazards and potential ecological damage. The capability of conventional Interferometric Synthetic Aperture Radar (InSAR) to monitor tectonic movements, volcanic eruptions city subsidence has been fully demonstrated, but its application is limited because the failure caused by localized with strong spatial gradients. In this paper, a new method presented utilize SAR pixel Offset Tracking (OT)...

10.1016/j.rse.2020.111663 article EN cc-by Remote Sensing of Environment 2020-01-31

Net ecosystem productivity (NEP) plays an important role in understanding function and the global carbon cycle. In this paper, key parameters of Carnegie Ames Stanford Approach (CASA) model, maximum light use efficiency (εmax), was optimized by using vegetation classification data. Then, NEP estimated coupling CASA geostatistical model soil respiration (GSMSR) respiration–soil heterotrophic (Rs-Rh) relationship model. The ground observations from ChinaFLUX were used to verify estimation...

10.3390/rs14081902 article EN cc-by Remote Sensing 2022-04-14

Changes in drought trends and its relationship with climate change China were examined this study. The temperature vegetation index (TVDI) datasets recorded during 2001 to 2010 constructed by using the moderate-resolution imaging spectroradiometer (MODIS) data, temporal spatial variations analyzed. In addition, mean temperature, precipitation, relative humidity, sunshine duration data collected from 557 local weather stations relationships between these factors also analyzed correlation...

10.1016/s2095-3119(14)60813-3 article EN cc-by-nc-nd Journal of Integrative Agriculture 2014-07-01

Abstract Information concerning the spatial and temporal characteristics of vegetative drought is essential for decision‐making many environmental agricultural applications. This study presents a comprehensive spatio‐temporal analysis conditions that used vegetation condition index ( VCI ) data product obtained from NOAA / AVHRR (National Oceanic Atmospheric Administration/Advanced Very High Resolution Radiometer) to reveal patterns across China 1981 2015. Considering as indicators, multiple...

10.1002/ecs2.1919 article EN cc-by Ecosphere 2017-08-01

Indicator organisms and antibiotic resistance were used as a proxy to measure microbial water quality of ballast tanks ships, surface waters in tropical harbor. The survival marine bacteria appeared diminish over longer retention time, with reduction cell viability observed after week based on heterotrophic plate counts. Pyrosequencing 16S rRNA genes showed distinct differences composition harbor waters. had higher abundance operational taxonomic units (OTUs) assigned Cyanobacteria...

10.1371/journal.pone.0143123 article EN cc-by PLoS ONE 2015-11-17

Remote sensing of crop growth monitoring is an important technique to guide agricultural production. To gain a comprehensive understanding historical progression and current status, future trend remote researches applications in the field China, study was carried out based on publications from past 20 years by Chinese scholars. Using knowledge mapping software CiteSpace, quantitative qualitative analysis research development, hotspots, directions using technology China conducted....

10.3390/rs11070809 article EN cc-by Remote Sensing 2019-04-04

The leaf area index (LAI) is an essential indicator used in crop growth monitoring. In the study, a hybrid inversion method, which combined physical model with statistical was proposed to estimate LAI. simulated compact high-resolution imaging spectrometer (CHRIS) canopy spectral reflectance datasets were generated using PROSAIL (the coupling of PROSPECT optical properties and Scattering by Arbitrarily Inclined Leaves model) CHRIS band response function. Partial least squares (PLS) then...

10.3390/rs12213534 article EN cc-by Remote Sensing 2020-10-28

Net ecosystem productivity (NEP) is a key indicator to describe terrestrial functions and carbon sinks. The CASA model was improved by optimizing the parameters optimum temperature maximum light use efficiency ( <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">${\varepsilon }_{\max }$</tex-math></inline-formula> ), NEP value of European calculated combining soil respiration model. results showed that when...

10.1109/jstars.2022.3233128 article EN cc-by IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2022-12-30

10.1016/j.jag.2012.07.010 article EN publisher-specific-oa International Journal of Applied Earth Observation and Geoinformation 2012-09-07

Net ecosystem productivity (NEP) is a critical indicator of the CO2 capture capacity vegetation ecosystems. Based on land classification and clumping index (CI) datasets, key parameters CASA model, including fraction photosynthetic active radiation (FPAR) maximum light use efficiency ( <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\varepsilon_{max}$</tex-math></inline-formula> ), were optimized. Then, NEP...

10.1109/jstars.2023.3325774 article EN cc-by-nc-nd IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2023-01-01

The analysis of spatiotemporal variations in drought is important for environmental monitoring and agricultural production. In this study, the spring vegetative conditions China were analyzed by using vegetation condition index (VCI) as an indicator to reveal characteristics from 1981–2015. results suggest that (especially moderate drought) occurs frequently China, have obvious geographical differences are highly affected monsoons. frequency relatively high southern northern regions, which...

10.3390/ijerph18157967 article EN International Journal of Environmental Research and Public Health 2021-07-28

The net primary productivity (NPP) of vegetation is an important indicator used to evaluate the quality terrestrial ecosystems and characterize carbon balance ecosystems. In this study, spatiotemporal distribution dynamic change in NPP Africa from 1981 2018 were analyzed using long time series data NPP. results trend fluctuation analysis showed that Sahara arid region northern South exhibited a significant reduction high degree fluctuation; most tropical rainforests central deciduous...

10.3390/rs15112748 article EN cc-by Remote Sensing 2023-05-25

Leaf area index (LAI) is a valuable indicator used in vegetation growth monitoring. To optimize the selection according to type of remote sensing data and improve inversion accuracy LAI, this article analyzes influence different bandwidths on model based indices. First, simulation dataset generated by PROSAIL model, basis, 15 indices with high correlation coefficients LAI. Then, analyzing sensitivity these variations bandwidth, coefficient determination (R <sup...

10.1109/jstars.2020.2984608 article EN cc-by IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2020-01-01
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