Evaluating the Accuracy of Modified near Infrared Camera with Wide FOV in Monitoring Crop Health

Main Article Content

S. Ghimire
T. Horanont

Abstract

Setting a state price to each land parcel is a frequent and yet important task in the state management of land parcels. Land price for four location levels belong to each main street is issued by the state and is changed in average every five years or less. Thus before being assigned price, parcels in area have to be assigned to one of four location levels depending on its walking distance to nearest street, and related alley’s width. To ease this burden for government staff, a step by step processing model is developed to automatically determine the location level of a particular parcel based on its spatial relationship with the street and alley that it belongs to. The steps in the model are then converted into corresponding functions in a GIS application and used to automatically assign location levels for land parcels. The classified parcels are compared with corresponding parcels in legal price map implemented and issued by state government. Comparison result shows that approximately 93.23percent of parcels at all location levels are classified with the same location level. The experiment demonstrates the effectiveness and correctness of the proposed model in automatically determining location levels and corresponding prices of land parcels.

Article Details

How to Cite
Ghimire, S., & Horanont, T. (2017). Evaluating the Accuracy of Modified near Infrared Camera with Wide FOV in Monitoring Crop Health. International Journal of Geoinformatics, 13(4). Retrieved from https://ijg.journals.publicknowledgeproject.org/index.php/journal/article/view/1094
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Articles
Author Biography

S. Ghimire, School of Information, Computer and Communication Technology ICT, Sirindhorn International Institute of Technology, Thammasat University, 131 Moo 5, Tiwanont Road, Bangkadi Muang Pathum Thani 12000 Thailand

School of Information, Computer and Communication Technology ICT, Sirindhorn International Institute of Technology, Thammasat University, 131 Moo 5, Tiwanont Road, Bangkadi Muang Pathum Thani 12000 Thailand