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Improvement of Mono-window Algorithm for Retrieving Land Surface Temperature from HJ-1B Satellite Data 被引量:13
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作者 ZHOU Ji ZHAN Wenfeng +1 位作者 HU Deyong ZHAO Xiang 《Chinese Geographical Science》 SCIE CSCD 2010年第2期123-131,共9页
The thermal infrared channel (IRS4) of HJ-1B satellite obtains view zenith angles (VZA) up to ±33°. The view angle should be taken into account when retrieving land surface temperature (LST) from IRS4 data. ... The thermal infrared channel (IRS4) of HJ-1B satellite obtains view zenith angles (VZA) up to ±33°. The view angle should be taken into account when retrieving land surface temperature (LST) from IRS4 data. This study aims at improving the mono-window algorithm for retrieving LST from IRS4 data. Based on atmospheric radiative transfer simulations,a model for correcting the VZA effects on atmospheric transmittance is proposed. In addition,a generalized model for calculating the effective mean atmospheric temperature is developed. Validation with the simulated dataset based on standard atmospheric profiles reveals that the improved mono-window algorithm for IRS4 obtains high accuracy for LST retrieval,with the mean absolute error (MAE) and root mean square error (RMSE) being 1.0 K and 1.1 K,respectively. Numerical experiment with the radiosonde profile acquired in Beijing in winter demonstrates that the improved mono-window algorithm exhibits excellent ability for LST retrieval,with MAE and RMSE being 0.6 K and 0.6 K,respectively. Further application in Qinghai Lake and comparison with the Moderate-Resolution Imaging Spectroradiometer (MODIS) LST product suggest that the improved mono-window algorithm is applicable and feasible in actual conditions. 展开更多
关键词 land surface temperature mono-window algorithm hj-1 B satellite remote sensing
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Research on HJ-1A/B satellite data automatic geometric precision correction design
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作者 Xiong Wencheng Shen Wenming +3 位作者 Wang Qiao Shi Yuanli Xiao Rulin Fu Zhuo 《Engineering Sciences》 EI 2014年第5期90-96,共7页
Developed independently by China,HJ-1A/B satellites have operated well on-orbit for five years and acquired a large number of high-quality observation data.The realization of the observation data geometric precision c... Developed independently by China,HJ-1A/B satellites have operated well on-orbit for five years and acquired a large number of high-quality observation data.The realization of the observation data geometric precision correction is of great significance for macro and dynamic ecological environment monitoring.The paper analyzed the parameter characteristics of HJ-1 satellite and geometric features of HJ-1 satellite level 2 data(systematic geo- corrected data).Based on this,the overall HJ- 1 multi- sensor geometric correction flow and charge-coupled device(CCD) automatic geometric precision correction method were designed.Actual operating data showed that the method could achieve good result for automatic geometric precision correction of HJ-1 satellite data,automatic HJ-1 CCD image geometric precision correction accuracy could be achieved within two pixels and automatic matching accuracy between the images of same satellite could be obtained less than one pixel. 展开更多
关键词 hj-1 satellite AUTOMATIC geometric precision correction CCD
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Mosaic Maps of China in Different Seasons Based on Data from HJ-1A/1B Satellites
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《Aerospace China》 2010年第1期F0003-F0003,共1页
关键词 MAPS HJ Mosaic Maps of China in Different Seasons Based on Data from hj-1A/1B satellites
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HJ-1C Satellite for Environmental and Disaster Monitoring Launched into Orbit
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《Aerospace China》 2012年第4期23-23,共1页
A LM-2C launch vehicle was launched from the Taiyuan Satellite Launch Center on November 19, 2012, carrying HJ-1C, a technology demonstration satellite and the Fengniao satellite. The three satellites were placed to t... A LM-2C launch vehicle was launched from the Taiyuan Satellite Launch Center on November 19, 2012, carrying HJ-1C, a technology demonstration satellite and the Fengniao satellite. The three satellites were placed to the preset orbits respectively. Developed by DFH Satellite Co., Ltd., HJ-1C is a SAR Earth observation satellite for civilian use, which 展开更多
关键词 hj-1C satellite for Environmental and Disaster Monitoring Launched into Orbit
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Spatial prediction and analysis of Himalayan marmot plague natural epidemic foci in China based on HJ-1 satellite data 被引量:6
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作者 GAO MengXu1,4,LI XiaoWen1,2,CAO ChunXiang1,ZHANG Hao1,LI Qun3,ZHOU Hang3 HE QiSheng1,4,XU Min1,4,ZHAO Jian1,4,ZHENG Sheng1,4 & CHEN Wei1,4 1State Key Laboratory of Remote Sensing Science,Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University,Beijing 100101,China 2School of Geography,Beijing Normal University,Beijing 100875,China +1 位作者 3Office for Disease Control and Emergency Response,Chinese Center for Disease Control and Prevention,Beijing 102206,China 4Graduate University of Chinese Academy of Sciences,Beijing 100049,China 《Science China Earth Sciences》 SCIE EI CAS 2010年第S1期8-15,共8页
Plague,caused by the gram-negative bacterium Yersinia pestis,is a serious and rapidly progressing illness in humans that can be fatal if not treated effectively.The Qinghai-Tibet Plateau is the largest area of natural... Plague,caused by the gram-negative bacterium Yersinia pestis,is a serious and rapidly progressing illness in humans that can be fatal if not treated effectively.The Qinghai-Tibet Plateau is the largest area of natural Himalayan marmot(Marmota himalayana) plague foci in China and covers more than 630000 km2.Akesai County in Gansu Province is a part of this natural focus of plague and was chosen as a study area.Our study used an ecological niche modeling(ENM) approach to predict the potential distribution of the Himalayan marmot.Environment and Disaster Monitor Satellite(HJ-1) data was used to investigate environment factors that affect plague host animal activity.Host animal point data from active surveillance was combined with environmental variables from the HJ-1 satellite and other databases,and the models of the potential distribution of Himalayan marmot were produced with the Genetic Algorithm for Rule-Set Production(GARP).The probability of marmot presence was divided into 0-5%,5%-20%,20%-40%,40%-80%,and 80%-100% subgroups.Areas with 80%-100% probability exhibited the greatest potential for the presence of Himalayan marmot.According to the predicted potential distribution of Himalayan marmot in the study area,active surveillance of plague hosts and plague control and prevention could be more efficient. 展开更多
关键词 HIMALAYAN MARMOT PLAGUE SPATIAL prediction GARP hj-1 satellite
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Photosynthetically active radiation retrieval based on HJ-1A/B satellite data 被引量:3
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作者 LI Li1,XIN XiaoZhou1,SU GaoLi1,2 & LIU QinHuo1 1 State Key Laboratory of Remote Sensing Science,Institute of Remote Sensing Applications,Chinese Academy of Sciences,Beijing 100101,China 2 Zhejiang Climate Center,Hangzhou 310017,China 《Science China Earth Sciences》 SCIE EI CAS 2010年第S1期81-91,共11页
Photosynthetically active radiation(PAR) is essential for plant photosynthesis and carbon cycle,and is also important for meteorological and environmental monitoring.To advance China's disaster and environmental m... Photosynthetically active radiation(PAR) is essential for plant photosynthesis and carbon cycle,and is also important for meteorological and environmental monitoring.To advance China's disaster and environmental monitoring capabilities,the HJ-1A/B satellites have been placed in Earth orbit.One of their environmental monitoring objectives is the study of PAR.We simulated direct solar,scattered and environment radiation between 400 and 700 nm under different atmospheric parameters(solar zenith angle,atmospheric water vapor,atmospheric ozone,aerosol optical thickness,surface elevation and surface albedo),and then established a look-up table between these input parameters and PAR.Based on the look-up table,we used HJ-1A/B aerosol and surface albedo outputs to derive the corresponding PAR.Validation of inversed instantaneous and observed PAR values using HJ-1 Heihe experimental data had a root mean square error of 25.2 W m-2,with a relative error of 5.9%.The root mean square error for accumulated daily PAR and observed values was 0.49 MJ m-2,with a relative error of 3.5%.Our approach improved significantly the computational efficiency,compared with using directly radiation transfer equations.We also studied the sensitivity of various input parameters to photosynthetically active radiation,and found that solar zenith angle and atmospheric aerosols were sensitive PAR parameters.Surface albedo had some effect on PAR,but water vapor and ozone had minimal impact on PAR. 展开更多
关键词 Photosynthetically ACTIVE RADIATION 6S hj-1A/B satelliteS
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Retrieval of Aerosol Optical Depth for Chongqing Using the HJ-1 Satellite Data 被引量:3
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作者 Zengwu WANG Shiqi YANG +1 位作者 Qiaolin ZENG Yongqian WANG 《Journal of Meteorological Research》 SCIE CSCD 2017年第3期586-596,共11页
Aerosol optical depth (AOD) is a common indicator applied in monitoring aerosols in the atmosphere. The hilly landscape and rapid economic growth of the megacity Chongqing have facilitated increased aerosol concentr... Aerosol optical depth (AOD) is a common indicator applied in monitoring aerosols in the atmosphere. The hilly landscape and rapid economic growth of the megacity Chongqing have facilitated increased aerosol concentration, and it is meaningful to accurately retrieve AOD over Chongqing. The HJ-1A/B satellite of China carries a sensor/camera called the Charge Coupled Device (CCD), the spatial resolution of which meets the requirement for re- trieving high resolution AOD. In this paper, analysis of the AOD retrievals from different methods using the H J-1 satellite data revealed the most suitable algorithm. Through comparison with the AOD product of Moderate Resolu- tion Imaging Spectroradiometer (MODIS), the AOD retrieval results using enhanced vegetation index (EVI) to estim- ate dark pixels showed the highest correlation. The continental aerosol model was used to build a lookup table that was able to facilitate a good AOD retrieval for both city and rural areas. Finally, the algorithm that combined dark pixels, buffer areas, and the deep blue algorithm was found to be most suitable for AOD retrieval. The AOD retrieval results based on the HJ-1 data were consistent with MODIS products, and our algorithm yields reasonable results in most cases. The results were also compared with ground-based PMl0 measurements synchronized with the overpass time of the HJ-1 satellite, and high correlation was found. The findings are relevant to other Chinese satellite data used for retrieving AOD on the same channels. 展开更多
关键词 aerosol optical depth hj-1 satellite dark pixels algorithm deep blue algorithm
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Technical system design and construction of China’s HJ-1 satellites
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作者 Qiao Wang 《International Journal of Digital Earth》 SCIE EI 2012年第3期202-216,共15页
The Chinese Government attaches great importance to applications of satellite remote sensing in environmental monitoring.On 6 September 2008,the first two satellites of the Environment and Disaster Monitoring and Pred... The Chinese Government attaches great importance to applications of satellite remote sensing in environmental monitoring.On 6 September 2008,the first two satellites of the Environment and Disaster Monitoring and Prediction Satellite Constellation(HJ),HJ-1A and HJ-1B,were successfully launched,which started a new era of satellite applications for environmental monitoring in China.An introduction to the satellite,instrument,and ground systems of HJ-1A and HJ-1B is presented in this article,and an analysis of their technical performance and characteristics is also given.Focusing on the operational needs of environmental monitoring in China,the general design,functional construction,and operational mode of the application system of HJ-1A and HJ-1B are detailed,and the operations and applications of the two satellites are also discussed. 展开更多
关键词 hj-1 satellites environmental remote sensing system design application system development
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Phenological metrics-based crop classification using HJ-1 CCD images and Landsat 8 imagery 被引量:2
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作者 Xiaochun Zhang Qinxue Xiong +6 位作者 Liping Di Junmei Tang Jin Yang Huayi Wu Yan Qin Rongrui Su Wei Zhou 《International Journal of Digital Earth》 SCIE EI 2018年第12期1219-1240,共22页
Crop type data are an important piece of information for many applications in agriculture.Extracting crop type using remote sensing is not easy because multiple crops are usually planted into small parcels with limite... Crop type data are an important piece of information for many applications in agriculture.Extracting crop type using remote sensing is not easy because multiple crops are usually planted into small parcels with limited availability of satellite images due to weather conditions.In this research,we aim at producing crop maps for areas with abundant rainfall and small-sized parcels by making full use of Landsat 8 and HJ-1 charge-coupled device(CCD)data.We masked out non-vegetation areas by using Landsat 8 images and then extracted a crop map from a longterm time-series of HJ-1 CCD satellite images acquired at 30-m spatial resolution and two-day temporal resolution.To increase accuracy,four key phenological metrics of crops were extracted from time-series Normalized Difference Vegetation Index curves plotted from the HJ-1 CCD images.These phenological metrics were used to further identify each of the crop types with less,but easier to access,ancillary field survey data.We used crop area data from the Jingzhou statistical yearbook and 5.8-m spatial resolution ZY-3 satellite images to perform an accuracy assessment.The results show that our classification accuracy was 92%when compared with the highly accurate but limited ZY-3 images and matched up to 80%to the statistical crop areas. 展开更多
关键词 Crop type classification multi-temporal satellite images hj-1 CCD
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Estimation of suspended sediment concentration based on bio-optical mechanism and HJ-1 image in Chaohu Lake 被引量:1
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作者 WANG Qiao1,2,JIN Xin2,LI YunMei2,WU ChuanQing1,Lü Heng2,WANG YanFei2,ZHANG Hong2,YIN Bin2 & ZHU Li1 1Satellite Environment Center,Ministry of Environmental Protection,Beijing 100029,China 2Key Laboratory of Virtual Geographic Environment of Education Ministry,Nanjing Normal University,Nanjing 210046,China 《Science China Earth Sciences》 SCIE EI CAS 2010年第S1期58-66,共9页
Synchronization experiment was conducted in June,2009 to get Inherent Optical Properties(IOP) of water component in Chaohu Lake.Water bio-optical mechanism was studied combined with multispectral data of Environmental... Synchronization experiment was conducted in June,2009 to get Inherent Optical Properties(IOP) of water component in Chaohu Lake.Water bio-optical mechanism was studied combined with multispectral data of Environmental Satellite 1(CCD),and then inversion models of total suspended matter(TSM),inorganic suspended matter(ISM) and organic suspended matter(OSM) concentration were built.The data indicated that:the absorption ratio of suspended particulate matter and CDOM to total were almost no change from band 1 to band 2 with about 85% and 9%,respectively.The ratio of pure water to total increased from 0.4% to 5.6%.Water reflectance in these two bands were influenced by absorption of three kinds of components:algae particles absorption surpassed non-algal particles in band 3,and so played an important role in total absorption with about 35.7%;the proportion of pure water absorption and particles matter backscattering both were 99% in band 4,so these two components decided the main inherent optical properties in band 4.The models of TSM and ISM concentration inversion based on band combination(band 3 + band 4)/(band 1 + band 2) were built,while OSM concentration was estimated by band 4/(band 1 + band 2) index.Inversed by image data,RE of TSM concentration between modeled and measured was 33.4%,and RMSE was 18.68 mg/L.RE of ISM and OSM concentration were 39.9% and 35.2% respectively.The inversion was more accurate when satellite-ground data were just in the same day.At this situation,RE of ISM concentration dropped to 25.4%,and that of TSM and OSM reduced to 26.5% and 26.8% as well. 展开更多
关键词 hj-1 satellite bio-optical property CHAOHU LAKE suspended MATTER
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