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Abstract
Over the past 60 years, China has made fruitful achievements in the field of ocean microwave remote sensing satellite technology. A long-term plan has now been formulated for the development of Chinese ocean satellites, as well as the construction of a constellation of ocean dynamic environmental and ocean surveillance satellites. These will gradually form China’s ocean monitoring network from space, thereby playing important roles in future ocean resource and environmental monitoring, marine disaster prevention and reduction, and global climate change. In this review manuscript, the developmental history of ocean microwave satellites and the development status of oceanic microwave remote sensing satellites in China are reviewed. In addition, China’s achievements in the field of oceanic microwave remote sensing satellite technology are summarized, and the future development of China’s ocean microwave remote sensing satellite program is analysed.
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Land Surface Temperature Retrieval from Passive Microwave Satellite Observations: State-of-the-Art and Future Directions. REMOTE SENSING 2020. [DOI: 10.3390/rs12162573] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Land surface temperature (LST) is an important variable in the physics of land–surface processes controlling the heat and water fluxes over the interface between the Earth’s surface and the atmosphere. Space-borne remote sensing provides the only feasible way for acquiring high-precision LST at temporal and spatial domain over the entire globe. Passive microwave (PMW) satellite observations have the capability to penetrate through clouds and can provide data under both clear and cloud conditions. Nonetheless, compared with thermal infrared data, PMW data suffer from lower spatial resolution and LST retrieval accuracy. Various methods for estimating LST from PMW satellite observations were proposed in the past few decades. This paper provides an extensive overview of these methods. We first present the theoretical basis for retrieving LST from PMW observations and then review the existing LST retrieval methods. These methods are mainly categorized into four types, i.e., empirical methods, semi-empirical methods, physically-based methods, and neural network methods. Advantages, limitations, and assumptions associated with each method are discussed. Prospects for future development to improve the performance of LST retrieval methods from PMW satellite observations are also recommended.
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Cavalieri DJ, Gloersen P, Campbell WJ. Determination of sea ice parameters with the NIMBUS 7 SMMR. ACTA ACUST UNITED AC 2012. [DOI: 10.1029/jd089id04p05355] [Citation(s) in RCA: 525] [Impact Index Per Article: 43.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Owe M, de Jeu R, Holmes T. Multisensor historical climatology of satellite-derived global land surface moisture. ACTA ACUST UNITED AC 2008. [DOI: 10.1029/2007jf000769] [Citation(s) in RCA: 662] [Impact Index Per Article: 41.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Gloersen P, Yu J, Mollo-Christensen E. Oscillatory behavior in Arctic sea ice concentrations. ACTA ACUST UNITED AC 1996. [DOI: 10.1029/95jc02958] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Lin B, Rossow WB. Observations of cloud liquid water path over oceans: Optical and microwave remote sensing methods. ACTA ACUST UNITED AC 1994. [DOI: 10.1029/94jd01831] [Citation(s) in RCA: 74] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Eppler DT, Farmer LD, Lohanick AW, Anderson MR, Cavalieri DJ, Comiso J, Gloersen P, Garrity C, Grenfell TC, Hallikainen M, Maslanik JA, Mätzler C, Melloh RA, Rubinstein I, Swift CT. Passive microwave signatures of sea ice. MICROWAVE REMOTE SENSING OF SEA ICE 1992. [DOI: 10.1029/gm068p0047] [Citation(s) in RCA: 89] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
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