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Blend with the Sea Surface Temperature from Different Satellites and Their Comparison in the Southeast Pacific Ocean

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Journal of Ocean University of China 2023年第2期22卷 452-458页

作者： WU Yumei TANG Fenghua DAI Yang WANG Fei SHI Yongchuang ZHANG Shengmao Key and Open Laboratory of Remote Sensing Information Technology in Fishing Resource East China Sea Fisheries Research InstituteChinese Academy of Fishery SciencesShanghai 200090China Key Laboratory of Fisheries Remote Sensing Ministry of Agriculture and Rural Affairs Shanghai 200090China

The daily sea surface temperature(SST)data from three kinds of different satellites of GMI,GOES and MODIS were applied to do the blend in the Southeast Pacific Ocean throughout the whole year of *** coverage rates of the SST of the blend result were improved highly and more stable throughout the whole year,compared with the result of the single satellite of GMI,GOES,and *** yearly average coverage rates of GMI,GOES,MODIS,and blend were 43%,48%,30%,and 76%,and their corresponding yearly average standard deviation(SD)were 4%,6%,7%,and 4%,*** the coverage rates of these three satellites were low from April to *** valid observation days calculated in the whole year over every grid were used to represent the spatial distribution patterns of the coverage *** spatial distribution patterns of coverage rates from GOES and MODIS were similar that their valid observation days were higher in the northwest area and lower in the south area,and those of GMI was contrary to the former *** ranges of valid observation day was from GOES,GMI,and MODIS were 0-364,6-254,and 9-231 d,*** the blend,all the observation day of every grid in the research region was enhanced(103-366 d).Especially the near shore and south area,and the minimum valid observation day increased largely from the single digits to hundreds digit.

关键词： sea surface temperature blend coverage rate observation day

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Fitting maximum crown width height of Chinese fir through ensemble learning combined with fine spatial competition

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植物表型组学（英文） 2025年第1期7卷 169-184页

作者： Zeyu Cui Huaiqing Zhang Yang Liu Jing Zhang Rurao Fu Kexin Lei Institute of Forest Resource Information Techniques Chinese Academy of ForestryBeijing100091China Key Laboratory of Forestry Remote Sensing and Information System NFGAChinese Academy of ForestryBeijing100091China Institute of Forest Resource Information Techniques Chinese Academy of ForestryBeijing100091China Key Laboratory of Forestry Remote Sensing and Information System NFGAChinese Academy of ForestryBeijing100091China Central South University of Forestry & Technology Changsha410004China

Accurate acquisition of forest spatial competition and tree 3D structural phenotype parameters is crucial for exploring tree-environment ***,due to the occlusion between tree crowns,current UAV-based and ground-based LiDAR struggles to capture complete crown information in dense stands,making parameter extraction challenging such as maximum crown width height(HMCW).This study proposes a canopy spatial relationship-based method for constructing forest spatial structure units and employs five ensemble learning techniques to train 11 machine learning model *** coupling spatial competition with phenotype parameters,the study identifies the optimal fitting model for HMCW of Chinese *** results demonstrate that the constructed spatial structure units align closely with existing research while addressing issues of incorrectly selected or omitted neighboring *** the 10,191 trained HMCW models,the Bagging model integrating XGBoost,Random Forest(RF),Support Vector Regression(SVR),Gradient Boosting(GB),and Ridge exhibited the best *** to the best single model(RF),the Bagging model achieved improved accuracy(R2=0.8346,representing a 1.6％improvement;RMSE=1.4042,reduced by 6.66％;EVS=0.8389;MAE=0.9129;MAPE=0.0508;and MedAE=0.5076,with corresponding improvements of 1.63％,1.49％,0.1％,and 7.06％,respectively).This study provides a viable solution for modeling HMCW in all species with similar structural characteristics and offers a method for extracting other hard-to-measure *** refined spatial structure units better link 3D structural phenotypes with environmental *** approach aids in canopy morphology simulation and forest management research.

关键词： Maximum Crown Width Height Fine Spatial Competition Ensemble learning Tree 3D Structural Phenotype Parameter

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Forest terrain and canopy height estimation using stereo images and spaceborne LiDAR data from GF-7 satellite

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地球空间信息科学学报（英文版） 2024年第3期27卷 811-821页

作者： Liming Du Yong Pang Wenjian Ni Xiaojun Liang Zengyuan Li Juan Suarez Wei Wei Institute of Forest Resource Information Techniques Chinese Academy of ForestryBeijingChina Key Laboratory of Forestry Remote Sensing and Information System National Forestry and Grassland AdministrationBeijingChina State Key Laboratory of Remote Sensing Science Institute of Remote Sensing and Digital EarthChinese Academy of SciencesBeijingChina College of Resources and Environment University of Chinese Academy of SciencesBeijingChina Forest Research Northern Research StationMidlothianUK Institute of Science and Technology Information Yunnan Academy of Forestry and GrasslandKunmingChina

Accurate estimation of forest terrain and canopy height is crucial for timely understanding of forest *** Fen-7(GF-7)Satellite is China's first sub-meter-level three-dimensional(3D)mapping satellite for civilian use,which was equipped with a two-line-array stereo mapping camera and a laser altimeter system that can provide stereo images and full waveform LiDAR data *** of the existing studies have concentrated on evaluating the accu-racy of GF-7 for topographic survey in bare land,but few have in-depth studied its ability to measure forest terrain elevation and canopy *** purpose of this study is to evaluate the potential of GF-7 LiDAR and stereo image for forest terrain and height *** Airborne Laser Scanning(ALS)data were utilized to generate reference terrain and forest vertical *** validation test was conducted in Pu'er City,Yunnan Province of China,and encouraging results have *** GF-7 LiDAR data obtained the accuracy of forest terrain elevation with RMSE of 8.01 m when 21 available laser footprints were used for results verification;meanwhile,when it was used to calculate the forest height,R2 of 0.84 and RMSE of 3.2 m were obtained although only seven effective footprints were used for result *** canopy height values obtained from GF-7 stereo images have also been proven to have high accuracy with the resolution of 20 m x 20 m compared with ALS data(R2=0.88,RMSE=2.98 m).When the results were verified at the forest sub-compartment scale that taking into account the forest types,further higher accuracy(R2=0.96,RMSE=1.23 m)was *** results show that GF-7 has considerable application potential in forest resources monitoring.

关键词： Gao Fen-7(GF-7) spaceborne LiDAR stereo image Airborne Laser Scanning(ALS) forest height Pu'er

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Integrating vegetation phenological characteristics and polarization features with object-oriented techniques for grassland type identification

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地球空间信息科学学报（英文版） 2024年第3期27卷 794-810页

作者： Bin Sun Pengyao Qin Changlong Li Zhihai Gao Alan Grainger Xiaosong Li Yan Wang Wei Yue Institute of Forest Resource Information Techniques Chinese Academy of ForestryBeijingChina Key Laboratory of Forestry Remote Sensing and Information System NFGABeijingChina School of Information Technology and Engineering Guangzhou College of CommerceGuangzhouChina School of Geography University of LeedsLeedsUK Aerospace Information Research Institute Chinese Academy of SciencesBeijingChina Shandong Geographical Institute of Land Spatial Data and Remote Sensing Technology JinanChina

Due to the small size,variety,and high degree of mixing of herbaceous vegetation,remote sensing-based identification of grassland types primarily focuses on extracting major grassland categories,lacking detailed *** limitation significantly hampers the development of effective evaluation and fine supervision for the rational utilization of grassland *** address this issue,this study concentrates on the representative grassland of Zhenglan Banner in Inner Mongolia as the study *** integrates the strengths of Sentinel-1 and Sentinel-2 active-passive synergistic observations and introduces innovative object-oriented techniques for grassland type classification,thereby enhancing the accuracy and refinement of grassland *** results demonstrate the following:(1)To meet the supervision requirements of grassland resources,we propose a grassland type classification system based on remote sensing and the vegetation-habitat classification method,specifically applicable to natural grasslands in northern China.(2)By utilizing the high-spatial-resolution Normalized Difference Vegetation Index(NDVI)synthesized through the Spatial and Temporal Non-Local Filter-based Fusion Model(STNLFFM),we are able to capture the NDVI time profiles of grass-land types,accurately extract vegetation phenological information within the year,and further enhance the temporal resolution.(3)The integration of multi-seasonal spectral,polarization,and phenological characteristics significantly improves the classification accuracy of grassland *** overall accuracy reaches 82.61％,with a kappa coefficient of *** to using only multi-seasonal spectral features,the accuracy and kappa coefficient have improved by 15.94％and 0.19,***,the accuracy improvement of the gently sloping steppe is the highest,exceeding 38％.(4)Sandy grassland is the most widespread in the study area,and the growth season of grassland vegetation mainly occurs from May to

关键词： Grassland types vegetation phenological characteristics polarization feature integrated active and passive remote sensing object-oriented classification

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Measuring the gravity potential between two remote sites with CVSTT technique using two hydrogen clocks

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地球空间信息科学学报（英文版） 2024年第5期27卷中插19,1719-1738页

作者： Kuangchao Wu Wen-Bin Shen Xiao Sun Chenghui Cai Ziyu Shen Time and Frequency Geodesy Center School of Geodesy and Geomatics/Key Laboratory of Geospace Environment and Geodesy of Ministry of EducationWuhan UniversityWuhanChina Time and Frequency Geodesy Center School of Geodesy and Geomatics/Key Laboratory of Geospace Environment and Geodesy of Ministry of EducationWuhan UniversityWuhanChina State Key Laboratory of Information Engineering in Surveying Mapping and Remote SensingWuhan UniversityWuhanChina State Key Laboratory of Information Engineering in Surveying Mapping and Remote SensingWuhan UniversityWuhanChina School of Resource and Environment Hubei University of Science and TechnologyXianningChina

According to General Relativity Theory(GRT),by comparing the frequencies between two precise clocks at two different stations,the gravity potential(geopotential)difference between the two stations can be determined due to the gravity frequency shift ***,we conduct a clock-transportation experiment for measuring geopotential differ-ences based on frequency comparisons via satellite links between two remote hydrogen atomic *** on the net frequency shift between the two clocks in two different periods,the geopotential difference between stations of the Beijing 203 Institute laboratory(BIL)and Luojiashan Time-frequency Station(LTS)is *** show that the experimental result deviated from the reference of Earth gravity model EGM2008 result by(38.5±45.9)m in Orthometric Height(OH).The results are consistent with the frequency stabilities of the hydrogen clocks(at the level of 10-15)used in the *** the rapid development of time and frequency science and technology,the approach discussed in this study for measuring the geopotential is prospective and thus,could have broad applications.

关键词： Relativistic geodesy gravity potential atomic clock CVSTT technique ensemble empirical mode decomposition(EEMD)

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Identification of international trade patterns of agricultural products:the evolution of communities and their core countries

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地球空间信息科学学报（英文版） 2024年第1期27卷 49-63页

作者： Jiaxin Dong Siwei Li Lina Huang Jing He Wenping Jiang Fu Ren Yujing Wang Jiang Sun Hao Zhang School of Remote Sensing and Information Engineering Wuhan UniversityWuhanChina School of Remote Sensing and Information Engineering Wuhan UniversityWuhanChina State Key Laboratory of Information Engineering in Surveying Mapping and Remote SensingWuhan UniversityWuhanChina School of Resource and Environmental Sciences Wuhan UniversityWuhanChina School of Resource and Environmental Sciences Wuhan UniversityWuhanChina Key Laboratory of Geographic Information Systems Ministry of EducationWuhan UniversityWuhanChina Department of Aerospace System and Application The 54 Research Institute of China Electronics Technology Group CorporationShijiazhuangChina Institute of Natural Resources Survey Hydrogeology and Engineering Geology Institute of Hubei Geological BureauJingzhouChina Management Department 32034 TroopsChengduChina

As a special branch of global trade,the trade of agricultural products has an important impact on food security and the *** this paper,we studied international trade network of agricultural products from 2000 to 2016 as a whole and in *** explored the overall characteristics of the network,analyzed the evolution of communities and identified core countries of the *** results show that the structure of the trade network became increasingly complex and the trade relations became closer over *** were four major communities in the network,whose primary core countries were Germany,the United States,Brazil,and *** 2007,the community represented by China has disappeared,and the community pattern of the network has been in a three-pillar state and basically *** discuss the actual roles of certain trading countries,the formation of communities and the impact of economic events on agricultural products *** paper reveals the underlying patterns of the agricultural products trade and provides a way to track its evolution over time.

关键词： Complex network communities core countries international trade of agricultural products spatial pattern

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Fusing MODIS and AVHRR products to generate a global 1-km continuous NDVI time series covering four decades

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Big Earth Data 2025年第1期9卷 72-99页

作者： Xiaobin Guan Huanfeng Shen Yuchen Wang Dong Chu Xinghua Li Linwei Yue Wei Li Xinxin Liu Liangpei Zhang School of Resource and Environmental Sciences Wuhan UniversityWuhanChina Key Laboratory of GIS Ministry of EducationWuhan UniversityWuhanChina Key Laboratory of Digital Mapping and Land Information Application Engineering National Administration of SurveyingMapping and GeoinformationWuhan UniversityWuhanChina Collaborative Innovation Centre of Geospatial Technology WuhanChina School of Remote Sensing and Information Engineering Wuhan UniversityWuhanChina School of Geography and Information Engineering China University of GeosciencesWuhanChina College of Electrical and Information Engineering Hunan UniversityChangshaChina The State Key Laboratory of Information Engineering in Surveying Mapping and Remote SensingWuhan UniversityWuhanChina

Satellite normalized difference vegetation index(NDVI)time series,essential for ecological and environmental applications,is still limited by a trade-off between the spatiotemporal resolution and time coverage despite various global *** Advanced Very High-Resolution Radiometer(AVHRR)instrument can provide the longest continuous time series since 1982,but with the drawback of coarse spatial resolution and poor data *** address this issue,a spatiotemporal fusion-based long-term NDVI product(STFLNDVI)since 1982 was generated in this study at a 1-km spatial resolution with monthly intervals,by fusing with the Moderate Resolution Imaging Spectroradiometer(MODIS)data.A multi-step processing fusion framework,containing temporal filtering,normalization,spatiotemporal fusion,and residual error correction,was employed to combine the superior characteristics of the two products,*** comparison with MODIS data and real-data assessments with true 1 km AVHRR data both confirm the ideal accuracy of the fusion product in spatial distribution and temporal variation,providing stable long-term results similar to MODIS *** believe that the STFLNDVI product will be of great significance in characterizing the spatial patterns and long-term variations of global vegetation and the historical radiometric calibrations in AVHRR data gaps around the Arctic and instrument differences between MODIS and AVHRR should be further considered in the future.

关键词： NDVI MODIS AVHRR spatiotemporal fusion long-term

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Mapping Spatially Seamless Fractional Vegetation Cover over China at a 30-m Resolution and Semimonthly Intervals in 2010-2020 Based on Google Earth Engine

Journal of Remote Sensing

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Journal of remote sensing 2023年第1期3卷 444-462页

作者： Tian Zhao Xihan Mu Wanjuan Song Yaokai Liu Yun Xie Bo Zhong Donghui Xie Lingmei Jiang Guangjian Yan State Key Laboratory of Remote Sensing Science Faculty of Geographical ScienceBeijing Normal UniversityBeijing 100875China Beijing Engineering Research Center for Global Land Remote Sensing Products Faculty of Geographical ScienceBeijing Normal UniversityBeijing 100875China State Key Laboratory of Remote Sensing Science Aerospace Information Research InstituteChinese Academy of SciencesBeijing 100101China Key Laboratory of Quantitative Remote Sensing Information Technology Aerospace Information Research InstituteChinese Academy of SciencesBeijing 100094China State Key Laboratory of Earth Surface Processes and Resource Ecology Faculty of Geographical ScienceBeijing Normal UniversityBeijing 100875China College of Arts and Sciences Beijing Normal UniversityZhuhai 519087China

Fractional vegetation cover(FVC)is a critical biophysical parameter that characterizes the status of terrestrial *** spatial resolutions of most existing FVC products are still at the kilometer ***,there is growing demand for FVC products with high spatial and temporal resolutions in remote sensing *** study developed an operational method to generate 30-m/15-day FVC products over *** datasets were employed to generate a continuous normalized difference vegetation index(NDVI)time series based on the Google Earth Engine platform from 2010 to *** NDVI was transformed to FVC using an improved vegetation index(VI)-based mixture model,which quantitatively calculated the pixelwise coefficients to transform the NDVI to FVC.A comparison between the generated FVC,the Global LAnd Surface Satellite(GLASS)FVC,and a global FVC product(GEOV3 FVC)indicated consistent spatial patterns and temporal profiles,with a root mean square deviation(RMSD)value near 0.1 and an R^(2) value of approximately *** validation was conducted using ground measurements from croplands at the Huailai site and forests at the Saihanba ***,validation was performed with the FVC time series data observed at 151 plots in 22 small *** generated FVC showed a reasonable accuracy(RMSD values of less than 0.10 for the Huailai and Saihanba sites)and temporal trajectories that were similar to the field-measured FVC(RMSD values below 0.1 and R^(2) values of approximately 0.9 for most small watersheds).The proposed method outperformed the traditional VIbased mixture model and had the practicability and flexibility to generate the FVC at different resolutions and at a large scale.

关键词： Mapping Engine Spatial

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Petrogenesis and Tectonic Implications of the Jabal Hadb Ad Dayheen Granitic Complex, Central Arabian Shield

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Journal of Earth Science 2023年第1期34卷 20-36页

作者： Qinlong Tong Ziying Li Honghai Fan Naser Jahdali Mubarak M.Al-Nahdi CNNC Beijing Research Institute of Uranium Geology National Key Laboratory of Remote Sensing Information and Image Analysis TechnologyBeijing100029China CNNC Key Laboratory of Uranium Resource Exploration and Evaluation Technology Beijing Research Institute of Uranium GeologyBeijing100029China Saudi Geological Survey Jeddah21514Kingdom of Saudi Arabia

The Jabal Hadb Ad Dayheen granitic complex in central Saudi Arabia is an alkaline granitic ring complex associated with a collapsed caldera. It mainly consists of monzogranite in the center, biotite-hornblende porphyritic granite, and biotite-aegirine-riebeckite granite, intruded by some felsic and mafic dikes. The petrological and geochemical characteristics show that the granitic suites consist of metalminous-peralkaline A-type granites. The secondary ion mass spectrometry(SIMS) zircon U-Pb analysis yielded ^(206)Pb/^(238)U ages of 613.3 ± 8.1 – 603.8 ± 3.8, 602.4 ± 3.8, 596 ± 5.6 Ma for biotitehornblende porphyritic granite, microgranite, and biotite-aegirine-riebeckite granite, respectively. The trace element characteristics and positive ε_(Hf)(t) values(3.2–12.2) indicate that the granitic rocks of the Dayheen Ring Complex are mainly derived from the juvenile crust with the involvement of mantlederived materials. Combined with the regional tectonic evolution, the formation of the Dayheen Ring Complex mainly covered four periods:(1) subduction initiation and formation of arc terranes(870–620 Ma)—volcanic craters formed during this period provided the channel for alkaline complex intrusion;(2) collision between East and West Gondwana continents and formation of the north East African Orogen(640–613 Ma)—monzogranite stock at the center of the ring complex emplaced during this period;(3) post-collision extension and collapse(613–602 Ma)—red metaluminous biotite-hornblende porphyritic granite and microgranite sheets in the rim of the Dayheen Ring Complex emplaced during this period;(4) within-plate extension(602 – 545 Ma) —white peralkaline biotite-aegirine-riebeckite granite and plenty of felsic and mafic dikes in the rim mainly formed during this period. The granitic rocks of the Dayheen Ring Complex mainly formed during the transitional stage of post-collison to within-plate extension after the collision between East and West Gondwana continents, and part of them

关键词： ring complex A-type granite zircon zircon U-Pb dating tectonic evolution Arabian Shield

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Social inequity of park accessibility in Taiyuan:highlighting the unfair layout of parks in second-tier cities of China and the relative role of contributors

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地球空间信息科学学报（英文版） 2024年第4期27卷 1118-1140页

作者： Jing He Fu Ren Jiaxin Dong Huihui Zhang Wenhao Yan Jiping Liu School of Resource and Environmental Sciences Wuhan UniversityWuhanChina School of Resource and Environmental Sciences Wuhan UniversityWuhanChina Key Laboratory of Geographic Information Systems Ministry of EducationWuhan UniversityWuhanChina School of Remote Sensing and Information Engineering Wuhan UniversityWuhanChina Guangdong Provincial Department of Natural Resources Land and Resources Technology CenterGuangzhouChina Research Center of Geospatial Big Data Application Chinese Academy of Surveying and MappingBeijingChina

The scarcity of public resources and environmental pollution caused by rapid urbanization highlight the practical significance of parks in ensuring the sustainable development of a ***,the social equity of parks warrants further *** paper proposes a fine-grained comprehensive evaluation framework that combines geographic accessibility models,geo-statistical analysis,and machine learning algorithms to explore social inequity in Taiyuan,*** this framework,gini coefficient and lorentz curve express spatial equality,accessibility shows spatial equity,and ridge regression model handles the interdependence of variables with different dimensions to quantify the relative effects of local participants on changes in park *** this basis,the imbalance between vulnerable groups and park supply is analyzed to further understand the core concept of social *** highlight serious spatial inequality in all three types of parks allocation of six urban areas,especially in commu-nity *** actual access level of people to parks is also stratified by their demographic and socioeconomic characteristics,revealing the social inequity in access to *** distribution is indeed not conducive to some social vulnerable groups,whose contradiction between supply and demand is highly prominent in urban-rural junctions and new urban *** paper also confirms the unfair layout of public facilities can be observed in second-tier cities of China by highlighting the social inequity of parks in *** findings of this work have profound implications for urban planning and sustainable development.

关键词： Parks social inequity spatial equality accessibility social vulnerable groups Taiyuan

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