Title :
Rice crop calendar based on phenology analysis from time-series images
Author :
Soontranon, Narut ; Srestasathiern, Panu ; Rakwatin, Preesan
Author_Institution :
Geo-Inf. & Space Technol. Dev. Agency (Public Organ.), Bangkok, Thailand
Abstract :
In 2012, GISTDA has launched a sensor network project for monitoring agricultural fields in every region of Thailand. Integration of digital camera and weather sensors, Field Server (FS) is used to collect two types of data; image and weather condition. In this study, time-series images acquired from the rice field are used for computing and understanding the rice crop calendar. A proposed diagram consists of rice field segmentation (A), phenological computation (B) and analysis (C), rice crop calendar (D). The proposed diagram can be used to classify single and double crop cycles, which are the major types of cultivated areas in Thailand. A significant information for yield estimation model, start and end of growing season (SOS, EOS), can also be determined by using our approach.
Keywords :
crops; image segmentation; time series; Thailand; agricultural fields monitoring; double crop cycle; field server; image data; phenology analysis; rice crop calendar; rice field segmentation; single crop cycle; time-series images; weather condition data; yield estimation model; Agriculture; Earth Observing System; Indexes; Monitoring; Remote sensing; Servers; Vegetation mapping; Crop calendar; ExG index; Field Server; Phenology; Rice field;
Conference_Titel :
Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2015 12th International Conference on
Conference_Location :
Hua Hin
DOI :
10.1109/ECTICon.2015.7207029
