Open Access
2013 Algorithms and Applications in Grass Growth Monitoring
Jun Liu, Xi Yang, Hao Long Liu, Zhi Qiao
Abstr. Appl. Anal. 2013(SI14): 1-7 (2013). DOI: 10.1155/2013/508315


Monitoring vegetation phonology using satellite data has been an area of growing research interest in recent decades. Validation is an essential issue in land surface phenology study at large scale. In this paper, double logistic function-fitting algorithm was used to retrieve phenophases for grassland in North China from a consistently processed Moderate Resolution Spectrodiometer (MODIS) dataset. Then, the accuracy of the satellite-based estimates was assessed using field phenology observations. Results show that the method is valid to identify vegetation phenology with good success. The phenophases derived from satellite and observed on ground are generally similar. Greenup onset dates identified by Normalized Difference Vegetation Index (NDVI) and in situ observed dates showed general agreement. There is an excellent agreement between the dates of maturity onset determined by MODIS and the field observations. The satellite-derived length of vegetation growing season is generally consistent with the surface observation.


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Jun Liu. Xi Yang. Hao Long Liu. Zhi Qiao. "Algorithms and Applications in Grass Growth Monitoring." Abstr. Appl. Anal. 2013 (SI14) 1 - 7, 2013.


Published: 2013
First available in Project Euclid: 26 February 2014

Digital Object Identifier: 10.1155/2013/508315

Rights: Copyright © 2013 Hindawi

Vol.2013 • No. SI14 • 2013
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