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Validation of Landsat land surface temperature product in the conterminous United States using in situ measurements from SURFRAD, ARM, and NDBC sites

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International Journal of Digital Earth 2021年第5期14卷 640-660页

作者： Si-Bo Duan Zhao-Liang Li Wei Zhao Penghai Wu Cheng Huang Xiao-Jing Han Maofang Gao Pei Leng Guofei Shang key laboratory of Agricultural remote sensing Ministry of Agriculture and Rural Affairs/Institute of Agricultural Resources and Regional PlanningChinese Academy of Agricultural SciencesBeijingPeople’s Republic of China School of Land science and Space Planning Hebei GEO University HebeiPeople’s Republic of China Institute of Mountain Hazards and Environment Chinese Academy of SciencesChengduPeople’s Republic of China anhui province key laboratory of Wetland Ecosystem Protection and Restoration Anhui UniversityHefeiPeople’s Republic of China

Since 1982,Landsat series of satellite sensors continuously acquired thermal infrared images of the Earth’s land *** this study,Landsat 5,7,and 8 land surface temperature(LST)products in the conterminous United States from 2009 to 2019 were validated using in situ measurements collected at 6 SURFRAD(Surface Radiation Budget Network)sites,6 ARM(atmospheric Radiation Measurement)sites,and 9 NDBC(National Data Buoy Center)*** results indicate that a relatively consistent performance among Landsat 5,7,and 8 LST products is obtained for most sites due to the consistent LST retrieval algorithm in conjunction with the same atmospheric compensation and land surface emissivity(LSE)correction methods for Landsat 5,7,and 8 *** bias and root mean square error(RMSE)of Landsat LST product are obtained at some vegetated sites due to incorrect LSE estimation where LSE is invariant with the increasing of normalized difference vegetation index(NDVI).Except for the sites with incorrect LSE estimation,a mean bias(RMSE)of the differences between Landsat LST and in situ LST is 1.0 K(2.1 K)over snow-free land surfaces,−1.1 K(1.6 K)over snow surfaces,and−0.3 K(1.1 K)over water surfaces.

关键词： Land surface temperature land surface emissivity validation Landsat

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Monitoring Surface Water Change in Northeast China in 1999–2020:Evidence from satellite Observation and Refined Classification

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Chinese Geographical science 2024年第1期34卷 106-117页

作者： LIU Kai ZHANG Dapeng CHEN Tan CUI Peipei FAN Chenyu SONG Chunqiao key laboratory of Watershed Geographic sciences Nanjing Institute of Geography and LimnologyChinese Academy of SciencesNanjing210008China University of Chinese Academy of sciences Nanjing(UCASNJ)Nanjing211135China Geographic Information and Tourism College Chuzhou UniversityChuzhou239000China

As a typical region with high water demand for agricultural production,understanding the spatiotemporal surface water changes in Northeast China is critical for water resources management and sustainable ***,the long-term variation characteristics of surface water of different water body types in Northeast China remain rarely *** study investigated how surface water bodies of different types(e.g.,lake,reservoir,river,coastal aquaculture,marsh wetland,ephemeral water) changed during1999–2020 in Northeast China based on various remote sensing-based *** results showed that surface water in Northeast China grew dramatically in the past two decades,with an equivalent area increasing from 24 394 km^(2) in 1999 to 34 595 km^(2) in *** surge of ephemeral water is the primary driver of surface water expansion,which could ascribe to shifted precipitation *** wetlands,rivers,and reservoirs experienced a similar trend,with an approximate 20% increase at the interdecadal *** contrast,coastal aquacultures and natural lakes remain relatively *** study is expected to provide a more comprehensive investigation of the surface water variability in Northeast China and has important practical significance for the scientific management of different types of surface water.

关键词： surface water spatiotemporal variation water body classification remote sensing Northeast China

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Advances in coastal ocean boundary layer detection technology and equipment in China

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Journal of Environmental sciences 2023年第1期123卷 156-168页

作者： Haitao Zheng Youwen Sun Tao Luo Xueling Cheng Shiyong Shao Shouyin Zheng Bangyi Tao Bin Chen Qianguang Tu Kan Huang Bingbing Wang Mian Wang Xiaoquan Song Tianshu Zhang Yin Cheng Jianguo Liu key laboratory of Environmental Optics and Technology Anhui Institute of Optics and Fine MechanicsHFIPSChinese Academy of SciencesHefei 230031China Department of Precision Machinery and Precision Instrumentation University of Science and Technology of ChinaHefei 230026China key laboratory of atmospheric Optics Anhui Institute of Optics and Fine MechanicsChinese Academy of SciencesHefei 230031China Advanced Laser Technology laboratory of anhui province Hefei 230031China Institute of atmospheric Physics Chinese Academy of SciencesBeijing 100029China College of Earth sciences University of Chinese Academy of SciencesBeijing 100049China State key laboratory of satellite Ocean Environment Dynamics Second Institute of OceanographyMinistry of Natural ResourcesHangzhou 310012China School of Surveying and Municipal Engineering Zhejiang University of Water Resources and Electric PowerHangzhou 310018China Center for atmospheric Chemistry Study Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention(LAP3)Department of Environmental Science and EngineeringFudan UniversityShanghai 200433China State key laboratory of Marine Environmental science College of Ocean and Earth SciencesXiamen UniversityXiamen 361005China Meteorological Observation Centre China Meteorological AdministrationBeijing 100081China College of Marine Technology Faculty of Information Science and EngineeringOcean University of ChinaQingdao 266100China

Accurate and comprehensive knowledge of the atmospheric environment and its evolution within the coastal ocean boundary layer are necessary for understanding the sources,chemical mechanisms,and transport processes of air pollution in land,sea,and *** present an overview of coastal ocean boundary layer detection technology and equipment in China and summarize the progress and main achievements in recent *** has developed a series of coastal ocean boundary layer detection technologies,including Light Detection and Ranging(LIDAR),turbulent exchange analyzer,air-sea flux analyzer,stereoscopic remote sensing of air pollutants,and oceanic aerosol detection equipment to address the technical bottleneck caused by harsh environmental conditions in coastal ocean *** in these technologies and equipment have provided scientific assistance for addressing air pollution issues and understanding land-sea-atmosphere interactions over coastal ocean regions in *** the future,routine atmospheric observations should cover the coastal ocean boundary layer of China.

关键词： atmospheric pollution Coastal ocean atmospheric monitoring Environmental instrument

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First observation of tropospheric nitrogen dioxide from the Environmental Trace Gases Monitoring Instrument onboard the GaoFen-5 satellite

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Light(science & Applications) 2020年第1期9卷 1389-1397页

作者： Chengxin Zhang Cheng Liu Ka Lok Chan Qihou Hu Haoran Liu Bo Li Chengzhi Xing Wei Tan Haijin Zhou Fuqi Si Jianguo Liu School of Earth and Space sciences University of Science and Technology of ChinaHefei 230026China Department of Precision Machinery and Precision Instrumentation University of Science and Technology of ChinaHefei 230026China key laboratory of Environmental Optics and Technology Anhui Institute of Optics and Fine MechanicsChinese Academy of SciencesHefei 230031China Center for Excellence in Regional atmospheric Environment Institute of Urban EnvironmentChinese Academy of SciencesXiamen 361021China key laboratory of Precision Scientific Instrumentation of anhui Higher Education Institutes University of Science and Technology of ChinaHefei 230026China remote sensing Technology Institute(IMF) German Aerospace Center(DLR)OberpfaffenhofenGermany

The Environmental Trace Gases Monitoring Instrument(EMI)is the first Chinese satellite-borne UV–Vis spectrometer aiming to measure the distribution of atmospheric trace gases on a global *** EMI instrument onboard the GaoFen-5 satellite was launched on 9 May *** this paper,we present the tropospheric nitrogen dioxide(NO2)vertical column density(VCD)retrieval algorithm dedicated to EMI *** report the first successful retrieval of tropospheric NO_(2) VCD from the EMI *** retrieval improved the original EMI NO_(2) prototype algorithm by modifying the settings of the spectral fit and air mass factor calculations to account for the on-orbit instrumental performance *** retrieved EMI NO_(2) VCDs generally show good spatiotemporal agreement with the satellite-borne Ozone Monitoring Instrument and TROPOspheric Monitoring Instrument(correlation coefficient R of ~0.9,bias<50%).A comparison with ground-based MAX-DOAS(Multi-Axis Differential Optical Absorption Spectroscopy)observations also shows good correlation with an R of *** results indicate that the EMI NO_(2) retrieval algorithm derives reliable and precise results,and this algorithm can feasibly produce stable operational products that can contribute to global air pollution monitoring.

关键词： measurement dioxide satellite

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Semi-Empirical Algorithm for Wind Speed Retrieval from Gaofen-3 Quad-Polarization Strip Mode SAR Data

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Journal of Ocean University of China 2020年第1期19卷 23-35页

作者： ZHU Shuai SHAO Weizeng MARINO Armando SUN Jian YUAN Xinzhe Marine science and Technology College Zhejiang Ocean UniversityZhoushan 316000China Natural sciences University of StirlingStirling FK94LAUK Physical Oceanography laboratory Ocean University of ChinaQingdao 266100China key laboratory of Space Ocean remote sensing and Application National Satellite Ocean Application ServiceBeijing 100081China

Synthetic aperture radar(SAR)is a suitable tool to obtain reliable wind retrievals with high spatial *** geophysical model function(GMF),which is widely employed for wind speed retrieval from SAR data,describes the relationship between the SAR normalized radar cross-section(NRCS)at the copolarization channel(vertical-vertical and horizontal-horizontal)and a wind ***-measured NRCS at cross-polarization channels(horizontal-vertical and vertical-horizontal)correlates with wind *** this study,a semi-empirical algorithm is presented to retrieve wind speed from the noisy Chinese Gaofen-3(GF-3)SAR data with noise-equivalent sigma zero correction using an empirical ***-3 SAR can acquire data in a quad-polarization strip mode,which includes cross-polarization *** semi-empirical algorithm is tuned using acquisitions collocated with winds from the European Center for Medium-Range Weather *** particular,the proposed algorithm includes the dependences of wind speed and incidence angle on cross-polarized *** accuracy of SAR-derived wind speed is around 2.10ms−1 root mean square error,which is validated against measurements from the Advanced Scatterometer onboard the Metop-A/B and the buoys from the National Data Buoy Center of the National Oceanic and atmospheric *** results obtained by the proposed algorithm considering the incidence angle in a GMF are relatively more accurate than those achieved by other *** work provides an alternative method to generate operational wind products for GF-3 SAR without relying on ancillary data for wind direction.

关键词： wind Gaofen-3 synthetic aperture radar cross-polarization

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Simulation and retrieval for spaceborne aerosol and cloud high spectral resolution lidar of China

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science China Earth sciences 2022年第3期65卷 570-583页

作者： Feiyue MAO Xi LUO Jie SONG Zhenxin LIANG Wei GONG Weibiao CHEN School of remote sensing and Information Engineering Wuhan UniversityWuhan 430079China State key laboratory of Information Engineering in Surveying Mapping and Remote SensingWuhan UniversityWuhan 430079China Electronic Information School Wuhan UniversityWuhan 430079China key laboratory of Space Laser Communication and Detection Technology Shanghai Institute of Optics and Fine MechanicsChinese Academy of SciencesShanghai 201800China

Clouds and aerosols can significantly affect global climate change and the atmospheric environment,and observing them three-dimensionally with high spatial and temporal resolutions is a long-standing *** lidars are effective instruments for the vertical detection of clouds and aerosols *** Mie scattering lidars were successfully launched and widely used,such as the Cloud-Aerosol Lidar with Orthogonal Polarization(CALIOP)and Geoscience Laser Altimeter ***,the retrieval of Mie scattering lidar data is an ill-posed problem that introduces a large *** spaceborne Aerosol and Cloud High Spectral Resolution Lidar(ACHSRL)of China is currently under development and scheduled for launch in the near *** ACHSRL attracted extensive attention,because it can separate Mie and Rayleigh scattering signals and avoid ill-posed *** this study,we conducted ACHSRL signal simulation and retrieval to explore the potential of the ***,we proposed a simplified scheme for retrieving optical parameters,which reduced the number of equations and intermediate variables of the traditional method and avoided false extrema in the backscatter coefficient ***,the experiments showed that the backscatter coefficient retrieval was overestimated owing to the influence of the Poisson noise but can be ***,we examined the feasibility of the strategy of“first retrieving the lidar ratio then retrieving the extinction coefficient”to improve the extinction coefficient *** found that the retrieval error in the simulated cases can be reduced to less than 1%of the original retrieval ***,we discussed the influence of the uncertainty of the iodine filter transmittance on the retrieval of the optical parameters and found that the average relative error was less than 1‰.Finally,we conducted simulation and retrieval based on the atmospheric parameters measured by the *** showed that

关键词： atmospheric environment Laser detection satellite Signal simulation Extinction coefficient Backscatter coefficient

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Accurate Shortwave Radiation Simulation with a Two-Layer Aerosol Model in Xinjiang Region

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Journal of Meteorological Research 2024年第1期38卷 69-87页

作者： Guan HUANG Yonghang CHEN Qiong LIU Pengtao WANG Qianshan HE Qing HE Shuai LI Weiling SHAO Ting FAN School of Tourism&Research Institute of Human Geography Xi’an International Studies UniversityXi’an 710128 Center for Silk Road and Eurasian Civilization Studies Xi’an International Studies UniversityXi’an 710128 College of Environmental science and Engineering Donghua UniversityShanghai 201620 Shanghai Meteorological Service Shanghai 200030 Shanghai key laboratory of Meteorology and Health Shanghai 200030 Taklimakan Desert Meteorology Field Experiment Station of China Meteorological Administration Institute of Desert MeteorologyUrumqi 830002 Xinjiang Climate Centre Xinjiang Meteorological ServiceUrumqi 830002

To harness the rich solar energy resources in Xinjiang Region of Northwest China,this study tries to address the issue of lack of downward surface shortwave radiation(DSSR)observations and the need to improve the accuracy of satellite retrieval and numerical simulation of DSSR under varied sky and meteorological conditions.(1)A two-layer aerosol model specific to Xinjiang was developed to capture the vertical distributions of aerosols based on multiple data sources including lidar,GPS sounding,ground meteorological observations,and profiles from the ECMWF reanalysis version 5(ERA5)*** results show that the ERA5/PBLH(planetary boundary layer height)and ERA5/ALH(aerosol layer height)could be used to establish the two-layer aerosol model and characterize the vertical distribution of aerosols in Xinjiang Region.(2)Using the Santa Barbara Discrete atmospheric Radiative Transfer(SBDART)model,a localized inverse model of clear-sky DSSR was *** parameter adjustment and using the optimal combination of input parameters for DSSR simulation together with the two-layer aerosol model,the model-simulated DSSR(DSSRSBD)under clear-sky conditions improved significantly compared to the initial results,with all fitting indices greatly improved.(3)In addition,the study demonstrated that the impact of the two-layer aerosol model on DSSR was more pronounced under dust conditions than clear-sky conditions.(4)Using the localized clear-sky DSSR inversion model and its required parameters,simulations were also conducted to capture the spatiotemporal distribution of DSSR under clear-sky conditions in Xinjiang from 2017 to *** annual average DSSR_(SBD)under clear-sky conditions in Xinjiang during 2017–2019 was 606.78 W m^(-2),while DSSR from CERES(DSSR_(CER))under the same conditions was generally higher(703.95 W m^(-2)).(5)It is found that satellite remote sensing products experienced data loss in high-altitude snow areas,where numerical simulation technology could ser

关键词： downward surface shortwave radiation(DSSR) aerosol vertical distribution Clouds and the Earth’s Radiant Energy System(CERES) Santa Barbara Discrete atmospheric Radiative Transfer(SBDART) Xinjiang

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Temporal and spatial distribution of tropospheric CO_2 over China based on satellite observations

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Chinese science Bulletin 2010年第31期55卷 3612-3618页

作者： BAI WenGuang ZHANG XingYing ZHANG Peng key laboratory of Radiometric Calibration and Validation for Environmental satellites China Meteorological Administration (LRCVES/CMA) National Satellite Meteorological Center China Meteorological Administration Beijing 100081 China State key laboratory of atmospheric Boundary Layer Physics and atmospheric Chemistry Institute of Atmospheric Physics Chinese Academy of Sciences Beijing 100029 China

Mid-troposphere CO2 data retrieved by the AIRS(atmospheric infrared sounder) were validated with five ground-based stations and aircraft measurements in the Northern *** CO2 products show good agreement with ground and aircraft *** data had a monthly average accuracy better than 3 *** this study,the spatial and temporal distribution of mid-troposphere CO2 from January 2003 to December 2008 was analyzed based on this satellite *** average concentration of atmospheric CO2 was higher in the Northern Hemisphere than in the Southern *** yearly average results show a gradual increase from 2003 to *** China,the annual growth rate was about 2 ppmv/a,similar to the United States,Europe,Australia and India,but was slightly lower than Canada and ***-troposphere CO2 concentrations were higher over northern China than over southern areas,due to differences in natural conditions and industrial *** were four centers of high CO2 concentration between 35° and 45°N over China,with low concentrations over Yunnan *** was a significant seasonal CO2 variation with peak concentration in spring and the lowest concentration in autumn.

关键词：二氧化碳浓度中国南部地区对流层卫星观测数据时空分布大气CO2 平均精度红外探测仪

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Analysis of the Relationship between the Cloud Water Path and Precipitation Intensity of Mature Typhoons in the Northwest Pacific Ocean

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Advances in atmospheric sciences 2020年第4期37卷 359-376页

作者： Shuang LUO Yunfei FU Shengnan ZHOU Xiaofeng WANG Dongyong WANG School of Earth and Space sciences University of Science and Technology of ChinaHefei 230026China Shanghai Ecological Forecasting and remote sensing Center Shanghai 200030China anhui Meteorological Observatory Hefei 230026China

The relationship between precipitation intensity and cloud water in typhoon systems remains *** study combined time-and space-synchronized precipitation and spectral data obtained by the Precipitation Radar(PR)as well as the Visible and Infrared Scanner(VIRS)onboard the TRMM satellite,to overcome the limitations of precipitation properties and cloud parameters not being synchronized in previous studies.A merged dataset of near-surface rain rate(RR)and corresponding cloud water path(CWP)was established and used to analyze the potential correlation between cloud microphysical properties and precipitation,to deepen our understanding of the evolution of cloud to *** addition,25 collocated satellite overpasses of mature typhoon cases in the Northwest Pacific Ocean from 1998 to 2012 were obtained,and the relationships between the CWP and RR of 144515 pixels were analyzed in *** results show that the CWP and RR of mature typhoon systems with different precipitation types,precipitation cloud phases,and vertical depths of precipitation can be fitted by a notable sigmoid function,which may be useful for estimating CWP and parameterizing precipitation in ***,the relationship was applied and tested with an independent sample to show that RR is a significant indicator of CWP.

关键词： cloud water path convective precipitation stratiform precipitation TRMM tropical cyclone

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Cloud removal of remote sensing image based on multi-output support vector regression

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Journal of Systems Engineering and Electronics 2014年第6期25卷 1082-1088页

作者： Gensheng Hu Xiaoqi Sun Dong Liang Yingying Sun key laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University School of Electronics and Information Engineering Anhui University

Removal of cloud cover on the satellite remote sensing image can effectively improve the availability of remote sensing images. For thin cloud cover, support vector value contourlet transform is used to achieve multi-scale decomposition of the area of thin cloud cover on remote sensing images. Through enhancing coefficients of high frequency and suppressing coefficients of low frequency, the thin cloud is removed. For thick cloud cover, if the areas of thick cloud cover on multi-source or multi-temporal remote sensing images do not overlap, the multi-output support vector regression learning method is used to remove this kind of thick clouds. If the thick cloud cover areas overlap, by using the multi-output learning of the surrounding areas to predict the surface features of the overlapped thick cloud cover areas, this kind of thick cloud is removed. Experimental results show that the proposed cloud removal method can effectively solve the problems of the cloud overlapping and radiation difference among multi-source images. The cloud removal image is clear and smooth.

关键词： remote sensing image cloud removal support vector regression multi-output

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