High Resolution Distribution Dataset of Double-Season Paddy Rice in China

Although China is the largest producer of rice, accounting for about 25% of global production, there are no high-resolution maps of paddy rice covering the entire country. Using time-weighted dynamic time warping (TWDTW), this study developed a pixel- and phenology-based method to identify planting...

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Autores principales:	Baihong Pan, Yi Zheng, Ruoque Shen, Tao Ye, Wenzhi Zhao, Jie Dong, Hanqing Ma, Wenping Yuan
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	early rice late rice double-season rice time-weighted dynamic time warping synthetic aperture radar planting area Science Q
Acceso en línea:	https://doaj.org/article/8febfd005a4c4248a2b75dfab46a8216
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spelling	oai:doaj.org-article:8febfd005a4c4248a2b75dfab46a82162021-11-25T18:54:48ZHigh Resolution Distribution Dataset of Double-Season Paddy Rice in China10.3390/rs132246092072-4292https://doaj.org/article/8febfd005a4c4248a2b75dfab46a82162021-11-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/22/4609https://doaj.org/toc/2072-4292Although China is the largest producer of rice, accounting for about 25% of global production, there are no high-resolution maps of paddy rice covering the entire country. Using time-weighted dynamic time warping (TWDTW), this study developed a pixel- and phenology-based method to identify planting areas of double-season paddy rice in China, by comparing temporal variations of synthetic aperture radar (SAR) signals of unknown pixels to those of known double-season paddy rice fields. We conducted a comprehensive evaluation of the method’s performance at pixel and regional scales. Based on 145,210 field surveyed samples from 2018 to 2020, the producer’s and user’s accuracy are 88.49% and 87.02%, respectively. Compared to county-level statistical data from 2016 to 2019, the relative mean absolute errors are 34.11%. This study produced distribution maps of double-season rice at 10 m spatial resolution from 2016 to 2020 over nine provinces in South China, which account for more than 99% of the planting areas of double-season paddy rice of China. The maps are expected to contribute to timely monitoring and evaluating rice growth and yield.Baihong PanYi ZhengRuoque ShenTao YeWenzhi ZhaoJie DongHanqing MaWenping YuanMDPI AGarticleearly ricelate ricedouble-season ricetime-weighted dynamic time warpingsynthetic aperture radarplanting areaScienceQENRemote Sensing, Vol 13, Iss 4609, p 4609 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	early rice late rice double-season rice time-weighted dynamic time warping synthetic aperture radar planting area Science Q
spellingShingle	early rice late rice double-season rice time-weighted dynamic time warping synthetic aperture radar planting area Science Q Baihong Pan Yi Zheng Ruoque Shen Tao Ye Wenzhi Zhao Jie Dong Hanqing Ma Wenping Yuan High Resolution Distribution Dataset of Double-Season Paddy Rice in China
description	Although China is the largest producer of rice, accounting for about 25% of global production, there are no high-resolution maps of paddy rice covering the entire country. Using time-weighted dynamic time warping (TWDTW), this study developed a pixel- and phenology-based method to identify planting areas of double-season paddy rice in China, by comparing temporal variations of synthetic aperture radar (SAR) signals of unknown pixels to those of known double-season paddy rice fields. We conducted a comprehensive evaluation of the method’s performance at pixel and regional scales. Based on 145,210 field surveyed samples from 2018 to 2020, the producer’s and user’s accuracy are 88.49% and 87.02%, respectively. Compared to county-level statistical data from 2016 to 2019, the relative mean absolute errors are 34.11%. This study produced distribution maps of double-season rice at 10 m spatial resolution from 2016 to 2020 over nine provinces in South China, which account for more than 99% of the planting areas of double-season paddy rice of China. The maps are expected to contribute to timely monitoring and evaluating rice growth and yield.
format	article
author	Baihong Pan Yi Zheng Ruoque Shen Tao Ye Wenzhi Zhao Jie Dong Hanqing Ma Wenping Yuan
author_facet	Baihong Pan Yi Zheng Ruoque Shen Tao Ye Wenzhi Zhao Jie Dong Hanqing Ma Wenping Yuan
author_sort	Baihong Pan
title	High Resolution Distribution Dataset of Double-Season Paddy Rice in China
title_short	High Resolution Distribution Dataset of Double-Season Paddy Rice in China
title_full	High Resolution Distribution Dataset of Double-Season Paddy Rice in China
title_fullStr	High Resolution Distribution Dataset of Double-Season Paddy Rice in China
title_full_unstemmed	High Resolution Distribution Dataset of Double-Season Paddy Rice in China
title_sort	high resolution distribution dataset of double-season paddy rice in china
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/8febfd005a4c4248a2b75dfab46a8216
work_keys_str_mv	AT baihongpan highresolutiondistributiondatasetofdoubleseasonpaddyriceinchina AT yizheng highresolutiondistributiondatasetofdoubleseasonpaddyriceinchina AT ruoqueshen highresolutiondistributiondatasetofdoubleseasonpaddyriceinchina AT taoye highresolutiondistributiondatasetofdoubleseasonpaddyriceinchina AT wenzhizhao highresolutiondistributiondatasetofdoubleseasonpaddyriceinchina AT jiedong highresolutiondistributiondatasetofdoubleseasonpaddyriceinchina AT hanqingma highresolutiondistributiondatasetofdoubleseasonpaddyriceinchina AT wenpingyuan highresolutiondistributiondatasetofdoubleseasonpaddyriceinchina
_version_	1718410539552473088

High Resolution Distribution Dataset of Double-Season Paddy Rice in China

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