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Study of the Remote Sensing Model of FAPAR over Rugged Terrains

by 1,2, 1,2,*, 1,2, 3, 1,2 and 1,2
Institute of Remote Sensing and Geographic Information System, Peking University, No. 5 Yiheyuan Road, Beijing 100871, China
The Beijing Key Laboratory of Spatial Information Integration and 3S Application, Beijing 100871, China
School of Geography, Beijing Normal University, No. 19 Xin Jie Kou Wai Street, Beijing 100875, China
Author to whom correspondence should be addressed.
Academic Editors: Roberto Colombo, Agnes Begue, Clement Atzberger and Prasad S. Thenkabail
Remote Sens. 2016, 8(4), 309;
Received: 10 December 2015 / Revised: 25 March 2016 / Accepted: 29 March 2016 / Published: 7 April 2016
Mountainous areas with rugged terrains are widely distributed around the world. Remotely sensed values of the fraction of absorbed photosynthetically active radiation (FAPAR) suffer from the effect of rugged terrain. In this study, the effect of rugged terrain was incorporated into the FAPAR model based on recollision probability (FAPAR-P), which was improved in two aspects: calculating the sky viewing factor to correct for the fraction of diffuse sky radiation to the total radiation, and correcting the interception probability according to the slope and aspect of each pixel. The newly developed model is called FAPAR-PR (FAPAR-P Model for Rugged Terrain Area). Two study areas were chosen to validate the proposed model: the Dayekou watershed in Gansu Province, and Weichang in Hebei Province, China. The FAPAR values derived from the models were compared with FAPAR values measured in situ using photon flux sensors and the SunScan canopy analysis system (Delta-T Devices Ltd., Cambridge, UK). The validation results show that the FAPAR-PR model is applicable to rugged terrain areas, and it achieves a high level of accuracy. The FAPAR retrieval at different scales was also conducted to estimate the effect of terrain on the FAPAR-P and FAPAR-PR models. In our chosen study area, the effect of rugged terrain was significant in fine resolution pixels, but it was not obvious at larger scales, as the effects of slope and aspect were partly eliminated by the upscaling of the digital elevation model. View Full-Text
Keywords: FAPAR; FAPAR-PR model; terrain; scale FAPAR; FAPAR-PR model; terrain; scale
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Zhao, P.; Fan, W.; Liu, Y.; Mu, X.; Xu, X.; Peng, J. Study of the Remote Sensing Model of FAPAR over Rugged Terrains. Remote Sens. 2016, 8, 309.

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