Rice cultivation date estimation using progressive iteration approximation time series MODIS imagery
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Publication Details
Author list: Khobkhun B., Dejdumrong N., Rakwatin P., Rungsipanich A.
Publisher: Hindawi
Publication year: 2013
Volume number: 1
Start page: 833
End page: 838
Number of pages: 6
ISBN: 9781629939100
eISSN: 1745-4557
Languages: English-Great Britain (EN-GB)
Abstract
In Thailand, rice is important to economy. Information relevant to rice is critical to the government policy in the field of rice cultivation. These data include area of rice cropping, start planting date and harvest date which can be monitored by remote sensing. Remote sensing technique is used to record real data and can monitor in the long time from the initial planting to harvest. Monitoring of rice cultivation date based on Normalized Difference Vegetation Index (NDVI) which is derived from Moderate Resolution Imaging Spectroradiometer (MODIS) is phenology detection for estimating date of start season and date of end season. This study used MOD13Q1 which is a product of MODIS 16-day composite for monitoring rice cultivation in Thailand to estimate period of cultivation date. Unfortunately, MODIS data is contaminated with noise, thus, preprocessing is required in order to increase the accuracy of rice cultivation date estimation. This research is proposed to create smooth curve for estimation date by Progressive Iteration Approximation (PIA) using Bezier curve. Smoothing signal with PIA using Bezier curve is a new method to smoothing time series of MODIS. The smoothed time series can provide more accurate date estimation. The estimation from smoothed time series can identify period of rice cultivation for estimation of volume of rice product.
Keywords
Bezier curve fitting, PIA, Rice crop phenology, Terra MODIS
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