Journal of Food, Agriculture and Environment

Vol 12, Issue 1,2014
Online ISSN: 1459-0263
Print ISSN: 1459-0255

Indentifying winter fallow fields by combining use of MODIS-EVI time series and phenological data


Yaxin Wang 1, 2, Dafang Zhuang 1, Dong Jiang 1*, Jingying Fu 1, Xinfang Yu 1, Hongbo Ju 2

Recieved Date: 2013-11-22, Accepted Date: 2014-01-08


Winter fallow fields refer to the farmland that can be used for the cultivation of one season of crops, but is left fallow, after autumn harvest and the spring sowing of the following year. In many traditional agricultural countries like China, the rapid urbanization has resulted in the transfer and migration of rural labour, which is accompanied by an increasing of winter fallow fields. The monitoring of winter fallow fields on a systematic level poses much challenge. The combination of remote sensing technology and GIS (Geographic Information System) is an ideal solution to extract winter fallow fields over a large area. This paper presented an operational scheme for indentifying winter fallow fields by combining use of MODIS-EVI time series data and phenological information. The winter fallow fields in middle and lower reaches of Yangtze River in 2010-2011 is extracted based on MODIS EVI time-series, which is 8-day composite from August 29th, 2010 to July 4th, 2011. The crop information, including crop type, rotation and phenology are also used. Two algorithms, dynamic threshold method and maximum slope method, are respectively used for and tested using ground-based observation integrated with high-resolution remote sensing data. The dynamic threshold method, with a precision of 89.1%, performed better than the maximal slope method (the precision is 82.6%). The proposed method could not only acquire the spatial distribution of winter fallow fields over a large area, but also its fallowing time. Such information is valuable for the full utilization of regional farmland resources and ecological and environmental planning.


Winter fallow fields, remote sensing, crop phenology

Journal: Journal of Food, Agriculture and Environment
Year: 2014
Volume: 12
Issue: 1
Category: Agriculture
Pages: 216-220

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