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| An Efficient Method for Extracting Vegetation Coverage from Digital Photographs |
| REN Jie1,2,3,BO Yan-chen1,2,3,WANG Jin-di1,2,3 |
(1.State Key Laboratory of Remote Sensing Science,Jointly Sponsored by Beijing Normal Universityand the Institute of Remote Sensing Applications,Chinese Academy of Sciences,Beijing 100101,China;
2.Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities,Beijing Normal University,Beijing 100875,China;
3.School of Geography,Beijing Normal University,Beijing 100875,China) |
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Abstract Vegetation coverage is one of the objective indicators that reflecting the basic conditions of vegetation,which is concerned by agriculture and ecology.A most potential and rapid method for measuring the vegetation coverage is to extract it from the digital photo of the land surface.However,there was a lack of mature method to realize this procedure precisely.This paper introduces a method that is imitating NDVI,which is used to process the digital photos and to extract the vegetation coverage rapidly.The accuracy of the proposed method is validated by the supervised classification to calculate the vegetation coverage.The comparison of the results of these two methods indicates that the imitating NDVI results are as good as the supervised classification ones.The imitating NDVI method is more rapid and automatic than supervised classification.This method proposed is valuable to precision agriculture practice.
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Received: 18 October 2009
Published: 30 October 2013
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2010, Vol. 25 
