International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B1, 2012 
XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia 
ANALYSIS ON THE UTILITY OF SATELLITE IMAGERY 
FOR DETECTION OF AGRICULTURAL FACILITY 
Joon-Mook Kang *, Seung-Hee Baek", Kap-Yong Jung * * 
* Department of Civil Engineering, College of Engineering, Chungnam National University 
99 Daehak-ro, Yuseong-gu, Daejeon, ROK - jmkang@cnu.ac.kr, jungjusa@hanmail.net 
? Department of Environment & Ecology Research, Chungnam Development Institute 
101 Geumheung-dong, Gongju-si, Chungcheongnam-do, ROK - rgzoa05@nate.com 
Commission III, WG III/3 
KEY WORDS: Satellite Imagery, Agricultural Facility, Image Classification, Formosat-2, Remote Sensing 
ABSTRACT: 
Now that the agricultural facilities are being increase owing to development of technology and diversification of agriculture and 
the ratio of garden crops that are imported a lot and the crops cultivated in facilities are raised in Korea, the number of vinyl 
greenhouses is tending upward. So, it is important to grasp the distribution of vinyl greenhouses as much as that of rice fields, dry 
fields and orchards, but it is difficult to collect the information of wide areas economically and correctly. Remote sensing using 
satellite imagery is able to obtain data of wide area at the same time, quickly and cost-effectively collect, monitor and analyze 
information from every object on earth. In this study, in order to analyze the utilization of satellite imagery at detection of 
agricultural facility, image classification was performed about the agricultural facility, vinyl greenhouse using Formosat-2 satellite 
imagery. The training set of sea, vegetation, building, bare ground and vinyl greenhouse was set to monitor the agricultural facilities 
of the object area and the training set for the vinyl greenhouses that are main monitoring object was classified and set again into 3 
types according the spectral characteristics. The image classification using 4 kinds of supervise classification methods applied by the 
same training set were carried out to grasp the image classification method which is effective for monitoring agricultural facilities. 
And, in order to minimize the misclassification appeared in the classification using the spectral information, the accuracy of 
classification was intended to be raised by adding texture information. The results of classification were analyzed regarding the 
accuracy comparing with that of naked-eyed detection. As the results of classification, the method of Mahalanobis distance was 
shown as more efficient than other methods and the accuracy of classification was higher when adding texture information. Hence 
the more effective monitoring of agricultural facilities is expected to be available if the characteristics such as texture information 
including satellite images or spatial pattern are studied in detail. 
1. INTRODUCTION proportion of house plantation is high. Also, with the high 
profitability of recent facility cultivation, conversion from 
Now that the agricultural facilities are being increase owing to 
diversification of agriculture and the ratio of garden crops that 
are imported a lot and the crops cultivated in facilities are raised 
in Korea, the number of vinyl greenhouses is tending upward. 
So, it is important to grasp the distribution of vinyl greenhouses 
as much as that of rice fields, dry fields and orchards, but it is 
difficult to collect the information of wide areas economically 
and correctly. Remote sensing using satellite imagery is able to 
obtain data of wide area at the same time, quickly and cost- 
effectively collect, monitor and analyze information from every 
object on earth (Hwang, 2007). In this study, Jeju Island, Korea 
selected as the study area and the effective classification 
method is suggested for vinyl greenhouse detection through the 
image classification of various kinds by using high resolution 
satellite image. 
2. SUBJECT MATTER AND METHOD 
In the study site Seogwipo, Jeju Island, Korea, agriculture 
along with tourism business has developed with warm 
temperate climate, especially as a lot of fruit-growing and 
tropical fruit cultivation is done, it is an area where the 
  
* Corresponding author. 
outdoors cultivation to facility cultivation is actively processed, 
so it is an area where the continuous grasp of vinyl greenhouse 
is important. The study site is presented on Fig. 1. 
  
Figure 1. Study Area 
This study carried out the supervised classification by the 
parallel-piped classification, minimum distance classification, 
maximum likelihood classification, Maharanobis distance 
classification using the Formosat-2 satellite image of the study