We produced surface photosynthetic effective radiation (PAR), solar radiation (SSR) and net radiation (NR) products with 1KM resolution in the heihe basin in 2012.The temporal resolution ranges from instantaneous to hourly and daily.Day-by-day ancillary data were also produced, including aerosol optical thickness, moisture content, NDVI, snow cover, and surface albedo.Among them, PAR and SSR use the method of lookup table to directly invert by combining the stationary weather satellite and polar orbit satellite MODIS product.NR was calculated by analyzing the relationship between net short-wave and net surface radiation.Hourly instantaneous products are weighted by average and integral to obtain hourly and daily cumulative products.
File naming: the data is stored in a grid HDF format, stored in daily folders (such as 2012001), the file is divided into DlySRC, HurSRC, InsSRC, file name "InsSRC.yyyyddd.hhhh.hdf", where yyyy represents the year, DDD represents the date, HHHH represents when, such as inssrc.2012002.0030.hdfRepresents the second day of 2012 solar radiation and net radiation products.</p><p>Data reading method: Arcgis, Qgis and other remote sensing software as well as HDF program code and HDF professional software can be used to open and read.Raster images are generated after reading.
1. Huang, G. H., Li, X., Ma,M. G., Li, H. Y., & Huang, C. L.(2016). High resolution surface radiation products for studies of regional regionalenergy, hydrologic and ecological processes over Heihe river basin,northwest China. Agricultural and Forest Meteorology,230-231,67-78.doi:10.1016/j.agrformet.2016.04.007(View Details |Download )
2. Huang, G. H., Li, X., Huang, C. L., Liu, S. M., Ma, Y. F., & Chen, H. (2016). Representativeness errors of point-scale ground-based solar radiation measurements in the validation of remote sensing products. Remote Sensing of Environment, 181, 198-206. doi: 10.1016/j.rse.2016.04.001(View Details |Download )
3. Huang, G.H., Ma, M.G., Liang, S.L., Liu, S.M., & Li, X. (2011). A LUT-based approach to estimate surface solar irradiance by combining MODIS and MTSAT data. Journal of Geophysical Research-Atmospheres, 116( D22201).(View Details)
Cite as:Huang, G. (2017). < b>Surface PAR, SSR and NR products over the Heihe River basin (2012)</b>2017. doi: 10.3972/heihe.115.2014.db. (Download the reference: RIS | Bibtex )
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Spatial coverage |
East:102.0 South:37.0 |
West:97.0 North:43.0 |
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Resource Provider: HUANG Guanghui
Data has intellectual property rights because it is not only the result of physical labor, but also the achievements of intellectual activities. Data sharing needs to protect the intellectual property rights of Data, so that we can protect the rights and interests of data producers and make data sharing sustainable development. The core intellectual property rights of data include the right of signature, the right of publication and the right of recompilation, among which the right of signature is the most basic right. In academia, the traditional literature citation is the best way to reflect the right of signature. It has been widely recognized by scientists, so the intellectual property rights of data can be embodied through data reference.
1. Huang, G. H., Li, X., Ma,M. G., Li, H. Y., & Huang, C. L.(2016). High resolution surface radiation products for studies of regional regionalenergy, hydrologic and ecological processes over Heihe river basin,northwest China. Agricultural and Forest Meteorology,230-231,67-78.doi:10.1016/j.agrformet.2016.04.007
2. Huang, G. H., Li, X., Huang, C. L., Liu, S. M., Ma, Y. F., & Chen, H. (2016). Representativeness errors of point-scale ground-based solar radiation measurements in the validation of remote sensing products. Remote Sensing of Environment, 181, 198-206. doi: 10.1016/j.rse.2016.04.001
3. Huang, G.H., Ma, M.G., Liang, S.L., Liu, S.M., & Li, X. (2011). A LUT-based approach to estimate surface solar irradiance by combining MODIS and MTSAT data. Journal of Geophysical Research-Atmospheres, 116( D22201).
Huang, G. (2017). < b>Surface PAR, SSR and NR products over the Heihe River basin (2012)</b>2017. doi: 10.3972/heihe.115.2014.db.