NDLI: Retrieval of time series LAI by coupling an empirical crop growth model with a radiative transfer model

Content Provider	IEEE Xplore Digital Library
Author	Yan Guangjian Yang Xiaoyan Li Jing Mu Xihan
Copyright Year	2010
Description	Author affiliation: State Key Laboratory of Remote Sensing Science, School of Geography, Beijing Normal University, 100875, China (Yan Guangjian; Yang Xiaoyan; Li Jing; Mu Xihan)
Abstract	Continuous LAI values are very important in crop growth monitoring, however, all of the remotely sensed LAI products are limited by the temporal and spatial resolution. High spatial resolution is good for crop monitoring but with very poor temporal sampling. The popular MODIS 8 day LAI product is still not sufficient for crop monitoring. An empirical crop growth model was developed based on two years' ground truth. It was then coupled with SAILH model to retrieve the continuous LAI day by day. A rolling inversion strategy was proposed further to minimize the random noise in the observations. The models coupled inversion was tested by simulation inversion. Results show significant improvements of the new inversion method.
Starting Page	1645
Ending Page	1647
File Size	171314
Page Count	3
File Format	PDF
ISBN	9781424495658
ISSN	21537003
e-ISBN	9781424495665
e-ISBN	9781424495641
DOI	10.1109/IGARSS.2010.5653678
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Agriculture Remote sensing Data models Reflectivity Noise Monitoring Time series analysis Inversion LAI Crop growth model Radiative transfer model
Content Type	Text
Resource Type	Article

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