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ISPRS Int. J. Geo-Inf. 2016, 5(5), 67; doi:10.3390/ijgi5050067

Using Moderate-Resolution Temporal NDVI Profiles for High-Resolution Crop Mapping in Years of Absent Ground Reference Data: A Case Study of Bole and Manas Counties in Xinjiang, China

1,2,* , 1,* , 1
and
1
1
The State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, CAS Olympic S & T Park, No. 20 Datun Road, P.O. Box 9718, Beijing 100101, China
2
University of Chinese Academy of Sciences, No. 19A Yuquan Road, Beijing 100049, China
*
Authors to whom correspondence should be addressed.
Academic Editor: Wolfgang Kainz
Received: 15 March 2016 / Revised: 29 April 2016 / Accepted: 9 May 2016 / Published: 16 May 2016
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Abstract

Most methods used for crop classification rely on the ground-reference data of the same year, which leads to considerable financial and labor cost. In this study, we presented a method that can avoid the requirements of a large number of ground-reference data in the classification year. Firstly, we extracted the Normalized Difference Vegetation Index (NDVI) time series profiles of the dominant crops from MODIS data using the historical ground-reference data in multiple years (2006, 2007, 2009 and 2010). Artificial Antibody Network (ABNet) was then employed to build reference NDVI time series for each crop based on the historical NDVI profiles. Afterwards, images of Landsat and HJ were combined to obtain 30 m image time series with 15-day acquisition frequency in 2011. Next, the reference NDVI time series were transformed to Landsat/HJ NDVI time series using their linear model. Finally, the transformed reference NDVI profiles were used to identify the crop types in 2011 at 30 m spatial resolution. The result showed that the dominant crops could be identified with overall accuracy of 87.13% and 83.48% in Bole and Manas, respectively. In addition, the reference NDVI profiles generated from multiple years could achieve better classification accuracy than that from single year (such as only 2007). This is mainly because the reference knowledge from multiple years contains more growing conditions of the same crop. Generally, this approach showed potential to identify crops without using large number of ground-reference data at 30 m resolution. View Full-Text
Keywords: crop land mapping; reference NDVI time series; artificial antibody network; ground reference data; MODIS; Landsat/HJ crop land mapping; reference NDVI time series; artificial antibody network; ground reference data; MODIS; Landsat/HJ
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Hao, P.; Wang, L.; Zhan, Y.; Niu, Z. Using Moderate-Resolution Temporal NDVI Profiles for High-Resolution Crop Mapping in Years of Absent Ground Reference Data: A Case Study of Bole and Manas Counties in Xinjiang, China. ISPRS Int. J. Geo-Inf. 2016, 5, 67.

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