Global land surface microwave emissivity dataset from AMSR-E (2002-2011)- A Big Earth Data Platform for Three Poles

Microwave emissivity of the surface characterization of the object to launch the ability of microwave radiation, spaceborne passive microwave emissivity can on macro, large scale integral expression of epicontinental microwave radiation is a passive microwave surface parameters in quantitative inversion experience for one of the important basic data, is also on the large scale understand epicontinental microwave radiation in a way.This data set is considered to carry on the Aqua satellite advanced microwave scanning radiometer (amsr-e) and moderate resolution imaging spectroradiometer (MODIS) synchronous observation characteristics, using the MODIS land surface temperature and atmospheric water vapor data as input, by considering the effects of atmospheric emissivity estimation model, produced a global sky conditions during the running of amsr-e sensor (June 2002 ~ October 2011) of the epicontinental multichannel bipolar microwave instantaneous emission rate.Through product low-frequency radio signal, data alignment, statistic analysis, the different emissivity characteristics of surface coverage condition, frequency dependence and correlation studies conducted confirmatory analysis, the results show that the instantaneous dynamic details of emissivity is rich, standard deviation within 0.02 month daily variation, the change of time and space, frequency dependent on and related to the understanding of the natural physical process.

This data set includes amsr-e global land surface daily, daily, daily, monthly and monthly products in the whole life cycle, which can be used to carry out satellite based passive microwave remote sensing simulation, land surface model, and inversion research of land surface temperature, snow cover, atmospheric precipitation/moisture/precipitation.The projection coordinates of the data adopt the standard EASE-GRID projection, and the data storage method is binary floating point lattice (the size of the matrix is 1383*586). After the data is obtained, ENVI/IDL and other software or the corresponding program code can be read in the form of binary files.

All land surface emissivity data produced are named according to the following rules:

RADI_AMSRE_EM # # # # _yyymmdd_EG_V. Bin

For example, file name: RADI_AMSRE_EM01_20060101_EG_V#

EM##: 01 means daily, 05 means 5 days, 10 means ten days, HM means half a month, MO means a month

Yyyymmdd: yyyy means year, mm means month, and dd means date

V##: version number, such as 0.1, 1.0, etc., the units digit is the official version

RADI: institute of remote sensing and digital earth, Chinese academy of sciences

AMSRE: advanced microwave scanning radiometer

File naming and required software

All land surface emissivity data produced are named according to the following rule: RADI_AMSRE_EM##_yyymmdd_EG_V##.bin
For example, file name: RADI_AMSRE_EM01_20060101_EG_V#, where EM##: 01 means daily, 05 means 5 days, 10 means ten days, HM means half a month, MO means month;Yyyymmdd: yyyy means year, mm means month, dd means date, V##: version number, such as 0.1, 1.0, etc., units digit is the official version
RADI: institute of remote sensing and digital earth, Chinese academy of sciences, AMSRE: advanced microwave scanning radiometer
Data reading: Software such as ENVI/IDL or corresponding program code can be read in the form of binary files

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Cite as:

Qiu, Y. (2016). Global land surface microwave emissivity dataset from AMSR-E (2002-2011). A Big Earth Data Platform for Three Poles, DOI: 10.3972/westdc.003.2016.db. CSTR: 18406.11.westdc.003.2016.db. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Qiu Yubao, Guo Huadong, Shi Lijuan, etal. (2016). Global Land Surface Emissivity Dataset based on AMSR-E Observations[J]. Remote Sensing Technology and Application. 31(4):811-821( View Details | Bibtex)

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

References literature

1.Qiu Y B，Atmosphere Influence Analysis and Correction in Passive Microwave Remote Sensing over Land[D]，Beijing：Institute of Remote Sensing Applications Chinese Academy of Sciences，2008 (View Details )

2.Qiu Y B, Shi L J; Wenbo Wu, Study of the microwave emissivity characteristics over Gobi Desert, IOP Conference Series: Earth and Environmental Science[C], Volume 17, Issue 1, DOI: 10.1088/1755-1315/17/1/012249. (View Details )

3.Qiu, Y. , Shi, J. , Hallikainen, M. T. , Lemmetyinen, J. , & Kontu, A. . (2008). The AMSR-E Instantaneous Emissivity Estimation and its Correlation, Frequency Dependency Analysis over Different Land Covers. IEEE International Geoscience & Remote Sensing Symposium, IGARSS 2008, July 8-11, 2008, Boston, Massachusetts, USA, Proceedings. IEEE. (View Details )

4.Shi L J, Study of the microwave emissivity characteristics[D], Liaoning, Liaoning Technical University, 2013 (View Details )

5.Qiu Y B, Shi L J, Shi J C, et al. (2016). Atmospheric Influences Analysis on the Satellite Passive Microwave Remote Sensing].[J]. Spectroscopy and spectral Analysis, 36(2) (View Details )

6.Qiu Y B, Guo H D, Shi L J, et al. 2012. An emissivity-based land surface temperature retrieval algorithm[C]// IEEE International Geoscience & Remote Sensing Symposium. IEEE, 2012:4664-4667. (View Details )

7.Shi L J, Qiu Y B, (2012). Analysis of the Relationship Between Microwave Emissivity and NDVI/MVI/Soil Moisture over Tibetan Plateau, China [J]. IEEE Transaction on Geoscience and Remote Sensing , 678-681 (View Details )

8.Shi L J, Qiu Y B. Study of the Microwave Emissivity Characteristics of Vegetation over the Northern Hemisphere.[J]. Spectroscopy and Spectral Analysis. 2013, 33(5):1157-1162. (View Details )

9.Zhang Y.P, Jiang LM, Qiu YB, 2010. Study of the Microwave Emissivity Characteristics over Different Land Cover Types[J]., Spectroscopy and Spectral Analysis, 30(6): 1446-1451 (View Details )

10.Lijuan, S. , Yubao, Q. , Jingjing, N. , & Wenbo, W. . (2014). The construction and application of the amsr-e global microwave emissivity database. IOP Conference Series: Earth and Environmental Science, 17, 012250. (View Details )

11.Wang Y Q, Feng W L, Shi J C, Qiu Y B. 2014. Atmospheric influences and its correction in passive microwave remote sensing[J]. Journal of Infrared & Millimeter Waves, 33(2):192-199. (View Details )

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