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CHARACTERISTICS OF NDVI FLUCTUATION PATTERN AT IRRIGATED AND NON-IRRIGATED RICE IN DIFFERENT CLIMATE ZONES IN THAILAND

机译:泰国不同气候区灌溉和非灌溉水稻的NDVI波动模式特征

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We have already developed "Peak Detector Algorithm"(PDA) to identify irrigated and non-irrigated area from 10-day composite of NDVI data. The algorithm is based on the NDVI fluctuation patterns linked to irrigation status, number of cultivation in a year, spatial distribution of agricultural field and rainfall. It showed high accuracy in Suphamburi province, Central-Western part of Thailand. Other 3 provinces in different climate regions in Thailand, namely, Khon Kaen (North-Eastern), Chiang Mai (Northern) and Patthalung (Southern) were selected to characterize the NDVI fluctuation pattern and to verify the applicability of the PDA. SPOT Vegetation 10 days composite in these study area shows different NDVI patterns from our previous study are in Suphamburi province. In this paper, the characteristics of NDVI fluctuation pattern, linked to rice cultivation pattern, water availability will be discussed. Further the performance and limitation of PDA in 4 different climate zones will be discussed as well.
机译:我们已经开发了“峰值检测器算法”(PDA),以识别NDVI数据的10天复合材料的灌溉和非灌溉面积。该算法基于与灌溉状态相关的NDVI波动模式,一年中的栽培数量,农业领域的空间分布和降雨。它在泰国中西部的Suphamburi省表现出高精度。泰国不同气候区的其他3个省份,即昆明(东北),清迈(北部)和帕特亨隆(南方),以表征NDVI波动模式,验证PDA的适用性。在这些研究区的综合植被10天综合显示来自我们以前的研究的不同NDVI模式在Suphamburi省。本文将讨论与水稻栽培模式相关的NDVI波动图案的特点,将讨论水可用性。此外,还将讨论4种不同气候区PDA的性能和限制。

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