An Object- and Topology-Based Analysis (OTBA) Method for Mapping Rice-Crayfish Fields in South China

The rice-crayfish field (i.e., RCF), a newly emerging rice cultivation pattern, has greatly expanded in China in the last decade due to its significant ecological and economic benefits. The spatial distribution of RCFs is an important dataset for crop planting pattern adjustment, water resource mana...

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Autores principales:	Haodong Wei, Qiong Hu, Zhiwen Cai, Jingya Yang, Qian Song, Gaofei Yin, Baodong Xu
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	rice-crayfish field object-based method topology classification high-resolution image Science Q
Acceso en línea:	https://doaj.org/article/88b8c1fc99a14e6eb208c3b8b167944c
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spelling	oai:doaj.org-article:88b8c1fc99a14e6eb208c3b8b167944c2021-11-25T18:55:14ZAn Object- and Topology-Based Analysis (OTBA) Method for Mapping Rice-Crayfish Fields in South China10.3390/rs132246662072-4292https://doaj.org/article/88b8c1fc99a14e6eb208c3b8b167944c2021-11-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/22/4666https://doaj.org/toc/2072-4292The rice-crayfish field (i.e., RCF), a newly emerging rice cultivation pattern, has greatly expanded in China in the last decade due to its significant ecological and economic benefits. The spatial distribution of RCFs is an important dataset for crop planting pattern adjustment, water resource management and yield estimation. Here, an object- and topology-based analysis (OTBA) method, which considers spectral-spatial features and the topological relationship between paddy fields and their enclosed ditches, was proposed to identify RCFs. First, we employed an object-based method to extract crayfish breeding ditches using very high-resolution images. Subsequently, the paddy fields that provide fodder for crayfish were identified according to the topological relationship between the paddy field and circumjacent crayfish ditch. The extracted ditch objects together with those paddy fields were merged to derive the final RCFs. The performance of the OTBA method was carefully evaluated using the RCF and non-RCF samples. Moreover, the effects of different spatial resolutions, spectral bands and temporal information on RCF identification were comprehensively investigated. Our results suggest the OTBA method performed well in extracting RCFs, with an overall accuracy of 91.77%. Although the mapping accuracies decreased as the image spatial resolution decreased, satisfactory RCF mapping results (>80%) can be achieved at spatial resolutions greater than 2 m. Additionally, we demonstrated that the mapping accuracy can be improved by more than 10% when near-infrared (NIR) band information was involved, indicating the necessity of the NIR band when selecting images to derive reliable RCF maps. Furthermore, the images acquired in the rice growth phase are recommended to maximize the differences of spectral characteristics between paddy fields and ditches. These promising findings suggest that the OTBA approach performs well for mapping RCFs in areas with fragmented agricultural landscapes, which provides fundamental information for further agricultural land use and water resources management.Haodong WeiQiong HuZhiwen CaiJingya YangQian SongGaofei YinBaodong XuMDPI AGarticlerice-crayfish fieldobject-based methodtopologyclassificationhigh-resolution imageScienceQENRemote Sensing, Vol 13, Iss 4666, p 4666 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	rice-crayfish field object-based method topology classification high-resolution image Science Q
spellingShingle	rice-crayfish field object-based method topology classification high-resolution image Science Q Haodong Wei Qiong Hu Zhiwen Cai Jingya Yang Qian Song Gaofei Yin Baodong Xu An Object- and Topology-Based Analysis (OTBA) Method for Mapping Rice-Crayfish Fields in South China
description	The rice-crayfish field (i.e., RCF), a newly emerging rice cultivation pattern, has greatly expanded in China in the last decade due to its significant ecological and economic benefits. The spatial distribution of RCFs is an important dataset for crop planting pattern adjustment, water resource management and yield estimation. Here, an object- and topology-based analysis (OTBA) method, which considers spectral-spatial features and the topological relationship between paddy fields and their enclosed ditches, was proposed to identify RCFs. First, we employed an object-based method to extract crayfish breeding ditches using very high-resolution images. Subsequently, the paddy fields that provide fodder for crayfish were identified according to the topological relationship between the paddy field and circumjacent crayfish ditch. The extracted ditch objects together with those paddy fields were merged to derive the final RCFs. The performance of the OTBA method was carefully evaluated using the RCF and non-RCF samples. Moreover, the effects of different spatial resolutions, spectral bands and temporal information on RCF identification were comprehensively investigated. Our results suggest the OTBA method performed well in extracting RCFs, with an overall accuracy of 91.77%. Although the mapping accuracies decreased as the image spatial resolution decreased, satisfactory RCF mapping results (>80%) can be achieved at spatial resolutions greater than 2 m. Additionally, we demonstrated that the mapping accuracy can be improved by more than 10% when near-infrared (NIR) band information was involved, indicating the necessity of the NIR band when selecting images to derive reliable RCF maps. Furthermore, the images acquired in the rice growth phase are recommended to maximize the differences of spectral characteristics between paddy fields and ditches. These promising findings suggest that the OTBA approach performs well for mapping RCFs in areas with fragmented agricultural landscapes, which provides fundamental information for further agricultural land use and water resources management.
format	article
author	Haodong Wei Qiong Hu Zhiwen Cai Jingya Yang Qian Song Gaofei Yin Baodong Xu
author_facet	Haodong Wei Qiong Hu Zhiwen Cai Jingya Yang Qian Song Gaofei Yin Baodong Xu
author_sort	Haodong Wei
title	An Object- and Topology-Based Analysis (OTBA) Method for Mapping Rice-Crayfish Fields in South China
title_short	An Object- and Topology-Based Analysis (OTBA) Method for Mapping Rice-Crayfish Fields in South China
title_full	An Object- and Topology-Based Analysis (OTBA) Method for Mapping Rice-Crayfish Fields in South China
title_fullStr	An Object- and Topology-Based Analysis (OTBA) Method for Mapping Rice-Crayfish Fields in South China
title_full_unstemmed	An Object- and Topology-Based Analysis (OTBA) Method for Mapping Rice-Crayfish Fields in South China
title_sort	object- and topology-based analysis (otba) method for mapping rice-crayfish fields in south china
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/88b8c1fc99a14e6eb208c3b8b167944c
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An Object- and Topology-Based Analysis (OTBA) Method for Mapping Rice-Crayfish Fields in South China

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