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

fYear

2015

Firstpage

1

Lastpage

5

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2015 12th International Conference on

Conference_Location

Hua Hin

Type

conf

DOI

10.1109/ECTICon.2015.7207029

Filename

7207029