[ { "id": 33030936, "linkType": null, "attachStatus": 19214, "column": "Review", "visits": 222, "authors": "XIONG Juhua;WU Hao;GAO Yang;CAI Shun;LIANG Dan;YU Wenping", "doi": "10.11834/jrs.20232644", "firstPageNum": 821, "lastPageNum": "830", "resName": "Ten years of remote sensing science： NSFC program fundings， progress and challenges", "resNameAll": "Ten years of remote sensing science： NSFC program fundings， progress and challenges", "resNameAllTest": "Ten years of remote sensing science： NSFC program fundings， progress and challenges", "year": 2023, "code": [ { "code": "lowqualitypdf", "name": "L-PDF" }, { "code": "enhancedpdf", "name": "Enhanced-PDF" }, { "code": "metaxml", "name": "Meta-XML" } ], "summary": "In the past 10 years, the basic research field of remote sensing science in China has been continuously expanding. A number of research achievements have been made, and many excellent talents have been cultivated. The steady improvement of the basic research level of remote sensing science has not only greatly promoted the comprehensive development of geographical science but has also played a significant role in serving the main battlefield and major strategies of the national economy. This study analyzes the application and funding of NSFC projects in remote sensing science from 2013 to 2022, summarizes research hotspots and major achievements, and discusses the development challenges of basic research in remote sensing science in China. The results show that in the past decade, the application codes of fund projects related to remote sensing have been continuously optimized and have gone through four versions. These versions have been updated rapidly and have played an obvious role in driving and promoting the development of the discipline. Moreover, they have better adapted to the development law of remote sensing science in China. During this period, the number of applications for fund projects in the field of remote sensing science continued to increase, the quality of applications increased tremendously, and the number of grants received also increased slightly. The research hotspots of the funded projects mainly focus on four frontier fields: hyperspectral remote sensing, multispectral remote sensing, thermal infrared remote sensing, and visible near-infrared remote sensing. With the support of the National Natural Science Foundation of China (NSFC), fruitful research achievements have been made in the field of remote sensing science. The rise and rapid development of remote sensing technology have become the most important source of big data in the current geographical science research. Cross integration with artificial intelligence has led to changes in the research paradigm of geographical science. It has created a data-driven automatic extraction of geographical knowledge and laws in the field of geographical science, promoted the interpretable causal analysis of geographical events and phenomena, and improved the human understanding and prediction ability of geographical problems. It supports the construction of the scientific paradigm and technical system for spatio-temporal big data analysis. In the follow-up research of remote sensing science, the basic research of remote sensing mechanism must be strengthened. Moreover, the ability of sensor research and development must be improved, and national major needs must be supported. In addition, research on domestic high-resolution remote sensing satellites must be improved to promote the healthy and sustainable development of remote sensing science. In this field, comprehensive, exploratory, and forward-looking project applications are encouraged. Cutting-edge cross research is encouraged around national major needs, such as “ecological civilization construction,” “the Belt and Road,” “rural revitalization,” and “land and space planning.” Proceeding from the urgent and long-term needs of the country, NSFC will continue to strengthen the basic research of remote sensing science and promote the development of remote sensing science in China during the “Fourteenth Five Year Plan” period and in the long term.", "issue": "4", "siteId": 91, "isCollected": false, "keyword": "National Natural Science Foundation of China;remote sensing science;funding situation;research findings;development challenges", "publicationName": "National Remote Sensing Bulletin", "publishDate": "2023-05-10", "ppubDate": "2023-04-07", "oa": 1, "indexId": 33030936, "referenceStatus": 1, "coverId": "43331345", "pictureUrl": "https://founder-journal-product.oss-cn-zhangjiakou.aliyuncs.com/project/a4a395fe850440ebb2e28fbb511f5f68/9b25941952114ca3a363b84956897bb6/product/update/20230510133616454/alternativeImage/AADACC8E-AF1A-4833-9348-BF1F271330BB-F6a2.jpg?OSSAccessKeyId=LTAI4FsTM3biHeuQwW34tPYi&Signature=JCOo%2Fh9%2FxGaIio4omKi81ZT1HY8%3D&response-content-type=image%2Fjpeg", "showImg": 0, "showAuthor": 1, "docsource": "平台生产", "vasDocsource": null, "notdsjcj": true, "dsjcj": false, "showDocSource": true, "vasDownloadLink": "", "vasDocLink": "", "volume": "27", "coverArticle": 0, "enhance": 0, "part": "Review", "sysLastmodified": "10 May 2023", "referenceCount": 0, "downloads": 65, "detailUrl": "/en/article/doi/10.11834/jrs.20232644/" }, { "id": 33317684, "linkType": null, "attachStatus": 19214, "column": "Review", "visits": 114, "authors": "LIANG Shunlin;CHEN Xiaona;CHEN Yan;CHENG Jie;JIA Kun;JIANG Bo;LI Bing;LIU Qiang;MA Han;SONG Liulin;TANG Bohui;XU Jianglei;YAO Yunjun;YUAN Wenping;ZHANG Xiaotong;ZHANG Yuzhen;ZHAO Xiang;ZHOU Ji", "doi": "10.11834/jrs.20232462", "firstPageNum": 831, "lastPageNum": "856", "resName": "Updates on Global LAnd Surface Satellite （GLASS） products suite", "resNameAll": "Updates on Global LAnd Surface Satellite （GLASS） products suite", "resNameAllTest": "Updates on Global LAnd Surface Satellite （GLASS） products suite", "year": 2023, "code": [ { "code": "lowqualitypdf", "name": "L-PDF" }, { "code": "enhancedpdf", "name": "Enhanced-PDF" }, { "code": "metaxml", "name": "Meta-XML" } ], "summary": "The Global LAnd Surface Satellite (GLASS) products suite includes high-level satellite products of land surface essential variables from multiple universities and research institutes. Producing the GLASS products suite has been undertaken since 2010. The suite spans from the initial five products to the current 16 products, which are generated mostly from the Advanced Very High-Resolution Radiometer and/or Moderate Resolution Imaging Spectroradiometer data. Some of the products have been previously introduced in the literature, and this study provides an update on the algorithm developments, validation accuracies, and their typical applications in all 16 products. This study also describes the Hi-GLASS products at 30 m resolution and some perspectives for further future improvement and development of the GLASS products.Estimating land surface variables from satellite observations is an “ill-posed” inversion problem. For each pixel, the number of multispectral bands is usually smaller than the number of environmental variables, and the values of many spectral bands are highly correlated. Some novel solutions have been proposed to address the insufficient information in generating reliable GLASS products. We can identify at least four approaches. The first is based on the temporal signature of the satellite observations. A typical example is the MODIS Leaf Area Index (LAI) and the Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) products generated using two-year observations simultaneously. The second uses an algorithm ensemble. A typical example is the evapotranspiration product based on integrating five estimation algorithms. The third uses multiple satellite observations. For example, the forest aboveground biomass product is based on optical, Lidar, and microwave data products. The last incorporates the physical model to generate the products, such as the gross primary production product.The GLASS products have several unique features compared with similar products on the market, including the following:(1) Several products are unique, such as the high-resolution (1 km) broadband emissivity and time-series forest aboveground biomass products.(2) Most products have long time series (i.e., over 40 years), while most other similar global products start from approximately the year 2000, with a period of approximately 20 years.(3) The radiation products, covering the world’s land and ocean surfaces, have a spatial resolution of 5 km, which is an order of magnitude higher than other such products in wide use, for example, the Global Energy and Water Exchanges, the Clouds and the Earth’s Radiant Energy System, and the International Satellite Cloud Climatology Project, which have spatial resolutions coarser than 100 km.(4) Several long-time-series global products have the highest spatial resolution in the world, such as 250 m for the LAI, FAPAR, and albedo products and 5 km for snow cover extent. Moreover, the all-weather LST and near-surface air temperature products have a 1-km resolution.(5) GLASS products are of high quality and accuracy.Over 2000 peer-reviewed papers based on the GLASS products have been published. Their applications are distributed in many scientific disciplines and societal benefits areas.We will continue to improve the quality and accuracy of the existing GLASS products and produce more GLASS products with higher spatial resolutions.", "issue": "4", "siteId": 91, "isCollected": false, "keyword": "satellite remote sensing;land surface;GLASS produces;radiation and energy budget;carbon cycle", "publicationName": "National Remote Sensing Bulletin", "publishDate": "2023-05-10", "ppubDate": "2023-04-07", "oa": 1, "indexId": 33317684, "referenceStatus": 1, "coverId": "43331717", "pictureUrl": "https://founder-journal-product.oss-cn-zhangjiakou.aliyuncs.com/project/a4a395fe850440ebb2e28fbb511f5f68/9b25941952114ca3a363b84956897bb6/product/update/20230510133841991/alternativeImage/53B6B898-A852-4d87-A701-F250BB2FDE3F-F001.jpg?OSSAccessKeyId=LTAI4FsTM3biHeuQwW34tPYi&Signature=bHWwwpT4p3SPFYEZhy2ZiBnYRbg%3D&response-content-type=image%2Fjpeg", "showImg": 0, "showAuthor": 1, "docsource": "平台生产", "vasDocsource": null, "notdsjcj": true, "dsjcj": false, "showDocSource": true, "vasDownloadLink": "", "vasDocLink": "", "volume": "27", "coverArticle": 0, "enhance": 0, "part": "Review", "sysLastmodified": "10 May 2023", "referenceCount": 0, "downloads": 25, "detailUrl": "/en/article/doi/10.11834/jrs.20232462/" }, { "id": 20934614, "linkType": null, "attachStatus": 19214, "column": "Review", "visits": 112, "authors": "WANG Qiansheng;LUO Haiyan;LI Zhiwei;SHI Hailiang;DING Yi;XIONG Wei", "doi": "10.11834/jrs.20211149", "firstPageNum": 857, "lastPageNum": "870", "resName": "Research progress of spaceborne passive remote sensing detection payload of greenhouse gases", "resNameAll": "Research progress of spaceborne passive remote sensing detection payload of greenhouse gases", "resNameAllTest": "Research progress of spaceborne passive remote sensing detection payload of greenhouse gases", "year": 2023, "code": [ { "code": "lowqualitypdf", "name": "L-PDF" }, { "code": "enhancedpdf", "name": "Enhanced-PDF" }, { "code": "metaxml", "name": "Meta-XML" } ], "summary": "A global consensus has been made to promote carbon emission reduction in response to global warming caused by the increase of greenhouse gases, such as CO₂ and CH₄. Spaceborne observation has the characteristics of large observation space and continuous observation time, which are among the main means of observing greenhouse gases at present. The establishment of a sound carbon monitoring system and spaceborne passive remote sensing of major greenhouse gases in the atmosphere will help to evaluate the impact of the greenhouse effect and guide human greenhouse gas emission activities, which is of great significance to human society.Active satellite-borne remote sensing of greenhouse gases become successful through proper planning. Among the spaceborne passive remote sensing payloads of greenhouse gases successfully applied in orbit, three technical systems are mainly included: Michelson interference spectroscopy represented by GOSAT (Greenhouse gases Observing SATellite) and GAS (Greenhouse gases Absorption Spectrometer); grating spectroscopy represented by OCO (Orbiting Carbon Observatory) and ACGS; and spatial heterodyne interference spectroscopy represented by GMI (Greenhouse gases Monitoring Instrument). This study focuses on the analysis of these three typical technology systems and compares the advantages and disadvantages of different detection technologies. At the same time, comprehensive satellite payloads for the detection of greenhouse gases include IMG (Interferometric Monitor for Greenhouse gases), SCIAMACHY (SCanning Imaging Absorption SpectroMeter CHartographY), AIRS (Atmospheric Infrared Sounder), ACE-FTS (Atmospheric Chemistry Experiment Fourier Transform Spectrometer), IASI (Infrared Atmospheric Sounding Instrument), and CrIS (Cross-track Infrared Sounder). Moreover, projects for the spaceborne passive remote sensing of greenhouse gases that include GeoCarb (Geostationary Carbon Observatory) and Copernicus CO₂ Monitoring Mission are introduced.To meet the needs of the next generation of spaceborne remote sensing of greenhouse gases, combined with the in-orbit performance of the GMI on GF-5 and the research progress of the new spatial heterodyne interference imaging spectroscopy technology, the feasibility of further achieving high spatial resolution on the basis of hyperspectral resolution and high signal-to-noise ratio is analyzed. This study proposes a payload technology scheme with high timeliness and regional carbon monitoring capability of different subdivisions, which will provide a technical basis for the development of the next generation of detection payload for greenhouse gases.Reviewing the development process of technologies for the spaceborne detection of greenhouse gases, six development trends of spaceborne passive remote sensing payloads of greenhouse gases are summarized: (1) specialization of detection load; (2) improvement of detection sensitivity; (3) wide width and high spatial resolution; (4) integration of multiple observation modes; (5) systematization of high/medium/ow orbit monitoring; (6) miniaturization of detection load.", "issue": "4", "siteId": 91, "isCollected": false, "keyword": "greenhouse gases;Passive remote sensing;Carbon Monitoring;satellite payload;interference imaging spectroscopy", "publicationName": "National Remote Sensing Bulletin", "publishDate": "2023-05-10", "ppubDate": "2023-04-07", "oa": 1, "indexId": 20934614, "referenceStatus": 1, "coverId": "43332203", "pictureUrl": "https://founder-journal-product.oss-cn-zhangjiakou.aliyuncs.com/project/a4a395fe850440ebb2e28fbb511f5f68/9b25941952114ca3a363b84956897bb6/product/update/20230510133941823/alternativeImage/9B073DB1-712C-46a2-9810-4350F5FFC8D1-F001.jpg?OSSAccessKeyId=LTAI4FsTM3biHeuQwW34tPYi&Signature=TFRZmhamveNM21Sfw7E5mffxbMs%3D&response-content-type=image%2Fjpeg", "showImg": 0, "showAuthor": 1, "docsource": "平台生产", "vasDocsource": null, "notdsjcj": true, "dsjcj": false, "showDocSource": true, "vasDownloadLink": "", "vasDocLink": "", "volume": "27", "coverArticle": 0, "enhance": 0, "part": "Review", "sysLastmodified": "10 May 2023", "referenceCount": 0, "downloads": 21, "detailUrl": "/en/article/doi/10.11834/jrs.20211149/" } ]