Mapping paddy fields by using spatial and temporal remote sensing data fusion technology

Wu Mingquan; Niu Zheng; Wang Changyao

Volume 26 Issue 14

Dec. 2010

Turn off MathJax

Article Contents

Abstract

Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE) > 2010 > 26(14): 48-52.

Wu Mingquan, Niu Zheng, Wang Changyao. Mapping paddy fields by using spatial and temporal remote sensing data fusion technology[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2010, 26(14): 48-52.

Citation:

PDF (591 KB)

Mapping paddy fields by using spatial and temporal remote sensing data fusion technology

More Information

Received Date: June 16, 2010
Revised Date: December 12, 2010
Published Date: December 30, 2010

Graphical Abstract

Abstract

Abstract

In order to solve the problem of data loss in mapping paddy fields, a novel rice extraction method was proposed in this paper by using spatial and temporal remote sensing data fusion technology (STDFT). Using the temporal change information extracted from time series MODIS data, combining with the texture information of Landsat-ETM+ data at former, fusion data was produced which had the same temporal resolution with MODIS data and the same spatial resolution with Landsat-ETM+ image. Then using fusion data in critical period, rice fields was mapped through SVM. The algorithm had been tested over a study area in Jiangning Country, Nanjing City, Jiangsu Province, China. Results showed that this method could map rice effectively. High mapping precision of 93% was acquired with Kappa coefficient of 0.96
- remote sensing,
- crops,
- rice extraction,
- MODIS,
- landsat,
- data fusion

FullText(HTML)

References (0)

[1]	Xu Linyun, Han Yuanshun, Chen Qing, Jiang Dong, Jin Jing. Natural frequency identification of fruit trees by combination of data-driven stochastic subspace identification and graph theory clustering method[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2021, 37(15): 136-145. DOI: 10.11975/j.issn.1002-6819.2021.15.017
[2]	Li Zhiting, Wang Changkun, Pan Xianzhang, Liu Ya, Li Yanli, Shi Rongjie. Estimation of wheat residue cover using simulated Landsat-8 OLI datas[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2016, 32(z1): 145-152. DOI: 10.11975/j.issn.1002-6819.2016.z1.021
[3]	Liu Huanjun, Meng Linghua, Zhang Xinle, Susan Ustin, Ning Donghao, Sun Siyu. Estimation model of cotton yield with time series Landsat images[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2015, 31(17): 215-220. DOI: 10.11975/j.issn.1002-6819.2015.17.028
[4]	Zhang Meng, Zeng Yongnian. Mapping paddy fields of Dongting Lake area by fusing Landsat and MODIS data[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2015, 31(13): 178-185. DOI: 10.11975/j.issn.1002-6819.2015.13.025
[5]	Jia Yuqiu, Li Bing, Cheng Yongzheng, Liu Ting, Guo Yan, Wu Xihong, Wang Laigang. Comparison between GF-1 images and Landsat-8 images in monitoring maize LAI[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2015, 31(9): 173-179. DOI: 10.11975/j.issn.1002-6819.2015.09.027
[6]	Chen Yingshu, Zhang Xiaochun, Wang Xiugui, Luo Qiang, Xiong Qinxue, Luo Wenbing. Extraction of crop planting structure in seasons prone to waterlogging using Landsat8 OLI and MODIS data[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2014, 30(21): 165-173. DOI: 10.3969/j.issn.1002-6819.2014.21.020
[7]	Tan Changwei, Wang Jihua, Zhao Chunjiang, Wang Yan, Wang Junchan, Tong Lu, Zhu Xinkai, Guo Wenshan. Monitoring wheat main growth parameters at anthesis stage by Landsat TM[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2011, 27(5): 224-230.
[8]	Zhang Hongbin, Tang Huajun, Yang Guixia, Li Gang, Chen Baorui, Xin Xiaoping. Changes of spatial-temporal characteristics based on MODIS NDVI data in Inner Mongolia grassland from 2000 to 2008[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2009, 25(9): 168-175.
[9]	Li Fapeng, Xu Zongxue, Li Jingyu. Characteristics of the spatial and temporal distribution for regional evapotranspiration in the Yellow River Delta based on MODIS data[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2009, 25(2): 113-120.
[10]	Cao Weibin, Yang Bangjie, Song Jinpeng. Linear features extraction and measurement in cotton area estimation using Landsat TM image in Northwest China[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2004, 20(2): 164-167.