The 30m / month synthetic photosynthetic effective radiation absorption ratio (fAPAR) data set of Heihe River basin provides the monthly Lai synthetic products from 2011 to 2014. The data uses the characteristics of domestic satellite HJ / CCD data with high temporal resolution (2 days after Networking) and spatial resolution (30M) to construct a multi angle observation data set, considering different vegetation types and based on land cover classification map, Combined with 30m / month synthetic leaf area index (LAI) products, fapar-p model based on energy conservation is adopted to produce monthly synthetic fAPAR products. Based on the principle of energy conservation, considering the multiple Rebound between vegetation and soil and vegetation, as well as the influence of various factors such as sky scattered light, the fAPAR model of uniform continuous vegetation is established by analyzing the interaction process between photons and canopy, and starting from the equal movement of photons in vegetation canopy and the re collision probability of multiple scattering
In addition, the effects of various influencing factors on fAPAR model are analyzed, in which soil and leaf reflectance, aggregation index and G function adopt different values according to different situations. The algorithm has high dynamics, and can get good results for images obtained under different soil background, vegetation type, radiation conditions, illumination and observation geometry and weather conditions
Compared with the measured data of corn canopy par in Yingke irrigation area of Zhangye City, Gansu Province on July 8, 2012, the 30m / month fAPAR product is highly consistent with the ground observation data, and the error with the observation value is less than 5%
In short, the 30m / month synthetic photosynthetic effective radiation absorption ratio (fAPAR) data set in Heihe River basin makes comprehensive use of multi temporal and multi angle observation data to improve the estimation accuracy and time resolution of parameter products and better serve the application of remote sensing data products
The 30m / month synthetic photosynthetic effective radiation absorption ratio (fAPAR) data set of Heihe River basin provides the monthly Lai synthetic products from 2011 to 2014. The data uses the characteristics of domestic satellite HJ / CCD data with high temporal resolution (2 days after Networking) and spatial resolution (30M) to construct a multi angle observation data set, considering different vegetation types and based on land cover classification map, Combined with 30m / month synthetic leaf area index (LAI) products, fapar-p model based on energy conservation is adopted to produce monthly synthetic fAPAR products
The algorithm has high dynamics, and can get good results for images obtained under different soil background, vegetation type, radiation conditions, illumination and observation geometry and weather conditions. Compared with the measured data of corn canopy par in Yingke irrigation area of Zhangye City, Gansu Province on July 8, 2012, the 30m / month fAPAR product is highly consistent with the ground observation data, and the error with the observation value is less than 5%
Good data quality
| # | number | name | type |
| 1 | 2013AA12A301 | National High-tech R&D Program of China (863 Program) | |
| 2 | 2012AA12A304 | National Natural Science Foundation of China |
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CSTR:11738.11.ncdc.NIEER.2021.38
10.12072/ncdc.nieer.db3557.2023