Yingjie Li

ORCID: 0000-0002-6770-6986
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About
Contact & Profiles
Research Areas
  • Atmospheric aerosols and clouds
  • Atmospheric chemistry and aerosols
  • Atmospheric Ozone and Climate
  • Remote Sensing in Agriculture
  • Atmospheric and Environmental Gas Dynamics
  • Urban Heat Island Mitigation
  • COVID-19 impact on air quality
  • Calibration and Measurement Techniques
  • Bacteriophages and microbial interactions
  • COVID-19 epidemiological studies
  • Meteorological Phenomena and Simulations
  • Air Quality Monitoring and Forecasting
  • Leaf Properties and Growth Measurement
  • COVID-19 Pandemic Impacts
  • Remote Sensing and LiDAR Applications
  • Satellite Communication Systems
  • Machine Learning in Bioinformatics
  • vaccines and immunoinformatics approaches
  • Air Quality and Health Impacts
  • Advanced Technologies in Various Fields
  • Software Reliability and Analysis Research
  • Regional Development and Environment
  • Satellite Image Processing and Photogrammetry
  • Remote Sensing and Land Use
  • Environmental and Agricultural Sciences

Jiangsu Normal University
2016-2024

China Academy of Space Technology
2024

University of Toronto
2017

State Key Laboratory of Remote Sensing Science
2008-2013

Beijing Normal University
2008-2013

Chinese Academy of Sciences
2009-2013

University of Chinese Academy of Sciences
2009-2013

Inner Mongolia University for Nationalities
2012

Southwest Hospital
2001

Southern Medical University
2001

Surface reflectance can be derived from satellite measurements for the top of atmosphere and provides an important dataset monitoring land change reliably. In this study, Sentinel-2A surface was generated using Sentinel-2 atmospheric correction (Sen2Cor) processor. To evaluate dataset, data at 40 sites aerosol robotic network over North America January 2016 to August 2017 were collected processed. The reference second simulation signal in solar spectrum-vector (6SV) code. optical thickness...

10.1109/jstars.2018.2835823 article EN IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2018-06-01

The provision of precise and dependable information regarding the extent distribution cropland is imperative for evaluation food security, agricultural planning, resource management. Cropland an important component land cover type offered in multiple existing global/regional products. However, global-scale accuracy may not be representative class-specific or local-area accuracy, such as Northeast China, which grain-producing region China has various types cultivated (e.g., wheat, rice)...

10.3390/rs15215134 article EN cc-by Remote Sensing 2023-10-27

Aerosol optical thickness (AOT) retrieval from Moderate Resolution Imaging Spectroradiometer (MODIS) data has been well established over oceans, but this is not the case land. In article, AOT sets retrieved by exploiting synergy of TERRA and AQUA MODIS (SYNTAM) land are validated with ground-based measurements Robotic Network (AERONET) data, as National Aeronautics Space Administration (NASA) products, amended a DeepBlue algorithm in Asian (15–60° N 35–150° E) American areas (30–40° 100–120°...

10.1080/01431161.2011.577831 article EN International Journal of Remote Sensing 2011-11-18

Aerosol optical depth (AOD) values at a spatial resolution of 500 m were retrieved over terrain areas by applying time series Moderate Imaging Spectroradiometer (MODIS) data in the Heihe region (36–42° N, 97–104° E) Gansu Province, China; Pearl River Delta (18–30° 108–122° E), and Beijing (39–41° 115–118° China. A novel prior knowledge scheme was used algorithm that performs cloud screening, simultaneous AOD surface reflectance retrieval from MODIS Level 1B data. This produced new Ångström...

10.1080/01431161.2011.577832 article EN International Journal of Remote Sensing 2011-11-18

A novel aerosol optical depth (AOD) retrieval algorithm is developed by integrating a kernel-driven bidirectional reflectance distribution function (BRDF) model and the multi-satellite AOD for Moderate Resolution Imaging Spectroradiometer (MODIS) data. As there close coupling of surface in satellite signal, one will be traditionally assuming prior order to solve another one. However, we build group equations both at same time our algorithm. Applying this new Terra Aqua MODIS data Beijing,...

10.1080/01431161.2011.642322 article EN Remote Sensing Letters 2011-12-22

In this paper, an advanced synergetic algorithm for aerosol retrieval from small satellite data is presented and applied on MODerate resolution Imaging Spectroradiometer (MODIS) the Hyper-Spectral Imager (HSI) China HJ-1A of Environment Disasters Monitoring Micro Constellation. Using algorithm, 500m MODIS are downscaled to 100m based maximal mutual information. By synergy HSI data, we obtained × optical depth (AOD) at 550nm over Beijing City, April 5, 2009. Comparison with Aerosol Robotic...

10.1109/igarss.2011.6049924 article EN 2011-07-01

The 3-km resolution MODerate Imaging Spectroradiometer (MODIS) aerosol product has advantages for local-scale monitoring over land. This study assessed the accuracy and feasibility of East China investigated potential climatology studies. long-temporal optical depth (AOD) from 2002 to 2015 was collected analyzed. Validation results show good overall accuracy. correlation coefficient between MODIS AOD ground measurements Aerosol Robotic Network (AERONET) is 0.79, 63.1% data points are within...

10.1109/jstars.2017.2650144 article EN IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2017-01-30

An innovative method for the determination of aerosol optical thickness (AOT) and surface reflectance operational use Advanced Spaceborne Thermal Emission Reflection Radiometer (ASTER) visible to near-infrared data is presented. This designed obtain atmospheric parameters needed in correction image. based on a simplified radiative transfer equation describing relation between ground reflectance, AOT top-of-atmosphere reflectance. By exploiting ASTER dual-angle view capabilities band 3N...

10.1080/01431161.2011.551846 article EN International Journal of Remote Sensing 2011-10-03

The clumping index (CI) is a canopy structure parameter that describes the dispersion or grouping of leaves. Previously, it has been estimated based on normalized difference between hotspot and darkspot (NDHD), which derived from multi-angle remote sensing data. However, currently impossible to derive CI NDHD for large area at spatial resolution finer than 275 m since such fine data are unavailable. In this study, an algorithm mixed-pixel (MPCI) was implemented, MPCI map China's landmass 1...

10.1109/jstars.2019.2897818 article EN IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2019-02-26

A new algorithm for Land Aerosol property and Bidirectional reflectance Inversion by Time Series technique (LABITS) is presented applied to Meteosat Second Generation Spinning Enhanced Visible Infrared Imager (MSG/SEVIRI) data. Based on the assumptions that surface bidirectional reflective are not varying during one day aerosol characteristics constant in 2 × window, we inverse optical depth (AOD) distribution function (BRDF) parameters. Preliminary validation shows good accuracy. The...

10.1109/igarss.2012.6350347 article EN 2012-07-01

The algorithm is based on the assumption that TOA reflectance increase with aerosol load as well surface at same time gradually changes different days within 14 days. Then derived from FengYun-2D (FY2D) measurements every 1 hour second darkest of for each day to minimize effect geometry change and cloud. "true reflectance" was calculated composite their weighs. weigh time, contribution background were determined using prior information, both them various in time. AOD retrieval a Look-Up...

10.1109/igarss.2011.6049754 article EN 2011-07-01

A retrieval algorithm for AOD from MODIS multi-spatial scale data with 1km × 1km, 500m and 250m resolution based on mutual information (MI) is proposed. The concept of represents a measure relative entropy between two sets. In this algorithm, an interpolation formula the maximal MI which used to transform low image into high constructed. Then, are over Heihe Watershed, in Gansu province, China, 5 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML"...

10.1109/igarss.2009.5417623 article EN 2009-01-01

Since the year of 2011, PM <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2.5</sub> have become a heated topic in China. Particulate matter (PM), also known as aerosol, is one major pollutants that affect air quality. Exposure to particular with aerodynamic diameters less than 2.5 μm (PM ) can cause lung and respiratory diseases even premature deaths. In this paper we use aerosol optical depth (AOD) retrieved by Synergetic Retrieval Aerosol...

10.1109/igarss.2012.6350346 article EN 2012-07-01

MODIS and MISR are two main satellites provide aerosol observations. However, AOD products generated from these sensors by different retrieval algorithms inconsistent. In this paper, a semi-empirical optical fusion method was proposed to produce consistent with derived datasets form MISR. Using the algorithm, new merged data sets were over China for 2010. We used level 2 cloud screened quality assured AERONET measurements evaluate results. Our results showed that combination of could more...

10.1109/igarss.2012.6350338 article EN 2012-07-01

In recent years the satellite monitoring capabilities in particular to derive maps of aerosol optical depth (AOD) have increased tremendously. There are many retrieval algorithms for different satellites and sensors. 2005, a new algorithm AOD by synergetic use Terra Aqua MODIS data (SYNTAM) was proposed Tang et al. With this algorithm, surface reflectance can be simultaneously retrieved. Now we attempt provide multi-scale AOD, using SYNTAM algorithm. We calculated AODs at 10km, 1km, 500m...

10.1109/igarss.2011.6049925 article EN 2011-07-01

In this study, the Bottom-Of-Atmosphere (BOA) reflectance over Egbert, Ontario, Canada on September 24, 2016, as obtained by Sentinel-2A Multi-Spectral Imager and corrected Sentinel-2 atmospheric Correction (Sen2Cor) software, was evaluated based 6SV atmospherically reflectance. The aerosol water vapor parameters used in model were from AERONET data. evaluation results showed that for visible bands, Sen2Cor BOA lower than reflectance, with a maximum relative bias of -36.5%, due to an...

10.1109/igarss.2017.8127391 article EN 2017-07-01

Ecological environment protection is one of the key concerns Chinese government. With release more and satellite remote sensing datasets or products, it has become possible to conduct comprehensive evaluation monitoring global local ecological quality (EEQ). In this paper, multi-source data from sensing, ground observations, atmospheric models, source emission inventories are used evaluate EEQ in Yangtze River Delta (YRD) region 2012 2022 monitor its spatiotemporal change. Compared with...

10.1117/12.3048701 article EN 2024-11-27

10.1109/auteee62881.2024.10869815 article EN 2022 IEEE 5th International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) 2024-12-27

In China, Remote Sensing Science and Technology (RSST) is a young undergraduate program offered by the colleges universities since 2001. As of 2018, there are as many 45 authorized to offer programs train students in field remote sensing related applications. To ensure smooth implementation education, Ministry Education People's Republic China has issued series policies measures, including objective, requirements, main curriculum structure. Jiangsu Normal University, following relevant...

10.1109/igarss.2019.8898378 article EN IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium 2019-07-01

The determination of aerosol's effect contains much uncertainty. During quantification aerosols via remote sensing, surface reflectance error 0.01 could bring Aerosol Optical Depth (AOD) 0.1. In order to avoid this, simultaneous retrieval AOD and properties would be a promising method. this paper, we present novel analytic solution atmospheric radiative transfer equation utilize retrieve albedo simultaneously from bi-temporal geostationary FY-2 sensing data.

10.1109/igarss.2011.6049824 article EN 2011-07-01

Accuracy of global tropopause altitude products from reanalyses is important to applications the products, including derivation tropospheric column ozone (TCO). Here, monthly biases in lapse-rate pressure (PLRT) two reanalyses, NCEP/NCAR and MERRA-2, associated implications for estimating TCO are examined, based on radiosonde observations over 1980–2017 at 689 stations. Our analysis suggests that mean PLRT underestimated by −2.3 hPa −0.9 mainly attributable large negative around subtropics...

10.3390/atmos12040417 article EN cc-by Atmosphere 2021-03-24
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