干旱区生态环境知识资源中心(Arid): VALIDATION OF SOIL USES AROUND RESERVOIRS IN THE SEMI-ARID THROUGH IMAGE CLASSIFICATION

Arid

DOI	10.1590/1983-21252021v34n319rc
	VALIDATION OF SOIL USES AROUND RESERVOIRS IN THE SEMI-ARID THROUGH IMAGE CLASSIFICATION
	Araujo, Efraim Martins; Mamede, George Leite
通讯作者	Araujo, EM (corresponding author), Inst Fed Educ Ciencia & Tecnol Ceara, Geoproc Lab, Iguatu, CE, Brazil.
来源期刊	REVISTA CAATINGA
ISSN	0100-316X
EISSN	1983-2125
出版年	2021
卷号	34 期号:3 页码:670-681
英文摘要	The work evaluated the potential for discrimination of land use and occupation around reservoirs, using spectral information obtained by multispectral, hyperspectral satellites and images obtained with an ARP (remotely piloted aircraft). The research analyzed the performance of different images classification techniques applied to multispectral and hyperspectral sensors for the detection and differentiation of soil classes around the Paus Brancos and Marengo reservoirs, located in Settlement 25 of Maio. The classes identified based on surveys in campaigns carried out in 2014 and 2015 around the reservoirs were: water, macrophytes, exposed soil, native vegetation, agriculture, thin and ebbing vegetation, in addition to the cloud and cloud shadow targets. The performance of the classifiers applied to the image of the Hyperion sensor was, in general, superior to those obtained in Landsat 8 image, which can be explained by the high spectral resolution of the first, which facilitates the differentiation of targets with similar spectral response. For validation of the supervised classification method of Maximum Likelihood, Landsat 8 (08/24/2015) and Hyperion (08/28/2015) images were used. The results of the application indicated a good performance of the classifier associated with the RGB composition of the chosen Hyperion image (bands R - 51, G - 161, B - 19) in the detection of the classes around this reservoir, producing a Kappa coefficient of 0.83. The availability of data from the Hyperion sensor is very restricted, which hinders the development of continued research, thus the use of images surpassed by RPA is extremely viable.
英文关键词	Landsat 8 Hyperion Kappa index
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000674653700019
WOS关键词	LANDSAT ; BIOMASS
WOS类目	Agronomy
WOS研究方向	Agriculture
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/367956
作者单位	[Araujo, Efraim Martins] Inst Fed Educ Ciencia & Tecnol Ceara, Geoproc Lab, Iguatu, CE, Brazil; [Mamede, George Leite] Univ Integracao Int Lusofonia Afro Brasileira, Inst Engn & Sustainable Dev, Redencao, CE, Brazil
推荐引用方式 GB/T 7714	Araujo, Efraim Martins,Mamede, George Leite. VALIDATION OF SOIL USES AROUND RESERVOIRS IN THE SEMI-ARID THROUGH IMAGE CLASSIFICATION[J],2021,34(3):670-681.
APA	Araujo, Efraim Martins,&Mamede, George Leite.(2021).VALIDATION OF SOIL USES AROUND RESERVOIRS IN THE SEMI-ARID THROUGH IMAGE CLASSIFICATION.REVISTA CAATINGA,34(3),670-681.
MLA	Araujo, Efraim Martins,et al."VALIDATION OF SOIL USES AROUND RESERVOIRS IN THE SEMI-ARID THROUGH IMAGE CLASSIFICATION".REVISTA CAATINGA 34.3(2021):670-681.