Next Article in Journal
Bayesian Analysis of Uncertainty in the GlobCover 2009 Land Cover Product at Climate Model Grid Scale
Next Article in Special Issue
Validation of Regional-Scale Remote Sensing Products in China: From Site to Network
Previous Article in Journal
Study of the Remote Sensing Model of FAPAR over Rugged Terrains
Previous Article in Special Issue
An Effective Method for Snow-Cover Mapping of Dense Coniferous Forests in the Upper Heihe River Basin Using Landsat Operational Land Imager Data
Article

Scaling of FAPAR from the Field to the Satellite

1
State Key Laboratory of Remote Sensing Science, School of Geography, Beijing Normal University, Beijing 100875, China
2
National Marine Data & Information Service, Tianjin 300171, China
3
Navy Press, Tianjin 300450, China
4
ICube Laboratory, UMR 7357 CNRS-University of Strasbourg, Illkirch 67412, France
*
Author to whom correspondence should be addressed.
Academic Editors: Xin Li, Yuei-An Liou, Qinhuo Liu, Clement Atzberger and Prasad S. Thenkabail
Remote Sens. 2016, 8(4), 310; https://doi.org/10.3390/rs8040310
Received: 13 October 2015 / Revised: 27 March 2016 / Accepted: 29 March 2016 / Published: 7 April 2016
The fraction of absorbed photosynthetically active radiation (FAPAR) is a critical biophysical parameter in eco-environmental studies. Scaling of FAPAR from the field observation to the satellite pixel is essential for validating remote sensing FAPAR product and for further modeling applications. However, compared to spatial mismatches, few studies have considered temporal mismatches between in-situ and satellite observations in the scaling. This paper proposed a general methodology for scaling FAPAR from the field to the satellite pixel considering the temporal variation. Firstly, a temporal normalization method was proposed to normalize the in-situ data measured at different times to the time of satellite overpass. The method was derived from the integration of an atmospheric radiative transfer model (6S) and a FAPAR analytical model (FAPAR-P), which can characterize the diurnal variations of FAPAR comprehensively. Secondly, the logistic model, which derives smooth and consistent temporal profile for vegetation growth, was used to interpolate the in-situ data to match the dates of satellite acquisitions. Thirdly, fine-resolution FAPAR products at different dates were estimated from the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data using the temporally corrected in-situ data. Finally, fine-resolution FAPAR were taken as reference datasets and aggregated to coarse resolution, which were further compared to the Moderate Resolution Imaging Spectroradiometer (MODIS) FAPAR product. The methodology is validated for scaling FAPAR from the field to the satellite pixel temporally and spatially. The MODIS FAPAR manifested a good consistency with the aggregated FAPAR with R2 of 0.922 and the root mean squared error of 0.054. View Full-Text
Keywords: fraction of absorbed photosynthetically active radiation; scaling; validation; MODIS; in-situ data; coarse resolution fraction of absorbed photosynthetically active radiation; scaling; validation; MODIS; in-situ data; coarse resolution
Show Figures

Graphical abstract

MDPI and ACS Style

Wang, Y.; Xie, D.; Liu, S.; Hu, R.; Li, Y.; Yan, G. Scaling of FAPAR from the Field to the Satellite. Remote Sens. 2016, 8, 310. https://doi.org/10.3390/rs8040310

AMA Style

Wang Y, Xie D, Liu S, Hu R, Li Y, Yan G. Scaling of FAPAR from the Field to the Satellite. Remote Sensing. 2016; 8(4):310. https://doi.org/10.3390/rs8040310

Chicago/Turabian Style

Wang, Yiting; Xie, Donghui; Liu, Song; Hu, Ronghai; Li, Yahui; Yan, Guangjian. 2016. "Scaling of FAPAR from the Field to the Satellite" Remote Sens. 8, no. 4: 310. https://doi.org/10.3390/rs8040310

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop