The Daily kernel-driven BRDF model coefficients retrieved from 5-days-composited multi-sensory data coupling topograpic effects over the Tibet Plateau (2016)
File naming convention: Kernelyddd005.dat (yyyy: year, DDD: Day (Julian day)), such as kernel2016001005.dat, which represents the albedo of the Qinghai Tibet Plateau on the first day of 2016
Data reading mode: stored in bare data format, can be opened by envi, ArcGIS and other software, when the header file is Kernelheadfile.hdr , band 1-21 is the coefficient; when read the band of quality identification, using the header file is QAheadfile.hdr which is band 43.
Data version number: v1
Projection + proj = longlat + datum = WGS84
Data format: raw, 1250 rows × 750 columns
Fill value: 32767
Scale: nuclear coefficient band / 10000 (divided by 10000, it is the nuclear coefficient);
Band Description: band 1-21 is the kernel coefficients of MODIS seven reflectance bands, and every three bands correspond to the coefficients of MODIS one observation band, such as 1-3 bands are the isotropic-kernel coefficient, volume scattering-kernel coefficient and geometric-optical kernel coefficient of MODIS band 1. See Kernelheadfile.hdr .
Quality identification Description: 16 bits, 00-01 -- overall quality identification, 0 = good, 1 = acceptable, 2 = poor, 3 = unavailable (fill value); 02-03 -- surface type, 00 = vegetation, 01 = non vegetation, non ice and snow, 10 = ice and snow, 11 = unable to judge; 04 -- surface state change, 0 = rapid change, 1 = non rapid change; 05-07 -- reflectivity observation times for inversion, 0 = 0, 1 = 1-2, 2 = 3-7 times, 3 = 8-14 times, 4 = 15-21 times, 5 = 22-28 times, 6 = 29-35 times, 7 = > 36 times; 08 -- satellite data source, 0 = single sensor, 1 = multi-sensor; / / 09-10 -- terrestrial water body identification, 0 = land, 1 = mixed land and water body, or inland water body, or coastal zone, 2 = offshore and deep sea (NO production), 3 = not within the projection range (NO production). Using QAheadfile.hdr
Wen, J., Tang, Y., You, D. (2021). The Daily kernel-driven BRDF model coefficients retrieved from 5-days-composited multi-sensory data coupling topograpic effects over the Tibet Plateau (2016). National Tibetan Plateau Data Center, DOI: 10.11888/Meteoro.tpdc.271196. CSTR: 18406.11.Meteoro.tpdc.271196. (Download the reference: RIS | Bibtex )
Related Literatures:1. Wu, S.B., Wen*, J.G., Gastellu-Etchegorry, J.P., Liu, Q.H., You, D.Q., Xiao, Q., Hao, D.L., Lin, X.W., Yin, T.G. (2019). The definition of remotely sensed reflectance quantities suitable for rugged terrain. Remote Sensing of Environment, 225, 403–415.( View Details | Bibtex)
2. Wen, J.G., Liu, Q., Xiao, Q., Liu, Q.H., You, D.Q., Hao, D.L., Wu, S.B., Lin, X.W. (2018). Characterizing Land Surface Anisotropic Reflectance over Rugged Terrain: A Review of Concepts and Recent Developments. Remote Sens.10, no.3. DOI: 10.3390/rs10030370.( View Details | Bibtex)
3. Wen, J.G., Dou, B.C., You, D.Q., Tang, Y., Xiao, Q., Liu, Q.H. (2017). Forward a Small-Time Scale BRDF/albedo by Multi-sensors Combined BRDF inversion (MCBI) model. IEEE Transaction of GeoScience and Remote Sensing, 22(5), 683-697.( View Details | Bibtex)
Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.
2nd survey of Tibet plateau (No:2019QZKK0206)
Development of Tibetan BRDF/Albedo retriveal algorithm coupling topographic effects and combining multi-sensory data in snow or snow-free cases repectively (No:41971316)
To respect the intellectual property rights, protect the rights of data authors,expand servglacials of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.
Example of acknowledgement statement is included below: The data set is provided by National Tibetan Plateau Data Center (http://data.tpdc.ac.cn).
License:
This work is licensed under an
Attribution 4.0 International (CC BY 4.0)
1.Maximum leaf area index data set of northern Eurasia (1981-2017)
3.HiWATER: the albedo in the middle reaches of the Heihe River Basin (Jun. 29, 2012)
4.Long time series ecological background map of Qinghai Tibet Plateau (1990-2015)
5.HiWATER: Airborne CCD image data in Hulugou Catchment
7.Drainage networks of Lancang-Mekong river basin (flow direction, flow accumulation, river networks)
9.Daily cloudless MODIS snow albedo dataset of Babaohe River basin (2008-2014)
No record
No record
Current page automatically show English comments Show comments in all languages
East: 105.00 | West: 80.00 |
---|---|
South: 25.00 | North: 40.00 |
Distributor: National Tibetan Plateau Data Center
Email: data@itpcas.ac.cn