气候变化领域集成服务门户(CCPortal): Land cover data of Upper Parana River Basin, South America, at high spatial resolution

CCPortal

DOI	10.1016/j.jag.2019.101926
	Land cover data of Upper Parana River Basin, South America, at high spatial resolution
	Rudke A.P.; Fujita T.; Almeida D.S.D.; Eiras M.M.; Xavier A.C.F.; Rafee S.A.A.; Santos E.B.; Morais M.V.B.D.; Martins L.D.; Souza R.V.A.D.; Souza R.A.F.; Hallak R.; Freitas E.D.D.; Uvo C.B.; Martins J.A.
发表日期	2019
ISSN	15698432
卷号	83
英文摘要	This study presents a new land cover map for the Upper Paraná River Basin (UPRB-2015), with high spatial resolution (30 m), and a high number of calibration and validation sites. To the new map, 50 Landsat-8 scenes were classified with the Support Vector Machine (SVM) algorithm and their level of agreement was assessed using overall accuracy and Kappa coefficient. The generated map was compared by area and by pixel with six global products (MODIS, GlobCover, Globeland30, FROM-GLC, CCI-LC and, GLCNMO). The results of the new classification showed an overall accuracy ranging from 67% to 100%, depending on the sub-basin (80.0% for the entire UPRB). Kappa coefficient was observed ranging from 0.50 to 1.00 (average of 0.73 in the whole basin). Anthropic areas cover more than 70% of the entire UPRB in the new product, with Croplands covering 46.0%. The new mapped areas of croplands are consistent with local socio-economic statistics but don't agree with global products, especially FROM-GLC (14,9%), MODIS (33.8%), GlobCover (71.2%), and CCI (67.8%). In addition, all global products show generalized spatial disagreement, with some sub-basins showing areas of cropland varying by an order of magnitude, compared to UPRB-2015. In the case of Grassland, covering 25.6% of the UPRB, it was observed a strong underestimation by all global products. Even for the Globeland30 and MODIS, which show some significant fraction of pasture areas, there is a high level of disagreement in the spatial distribution. In terms of general agreement, the seven compared mappings (including the new map) agree in only 6.6% of the study area, predominantly areas of forest and agriculture. Finally, the new classification proposed in this study provides better inputs for regional studies, especially for those involving hydrological modeling as well as offers a more refined LU/LC data set for atmospheric numerical models. © 2019 Elsevier B.V.
英文关键词	Global land cover dataset; Land use/land cover; Landsat satellite; Paraná River Basin; Support vector machine
语种	英语
scopus关键词	algorithm; data set; land cover; Landsat; MODIS; spatial resolution; spatiotemporal analysis; support vector machine; Parana Basin
来源期刊	International Journal of Applied Earth Observation and Geoinformation
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156438
作者单位	Federal University of Technology – Paraná, Av. Dos Pioneiros, Londrina, 3131, 86036-370, Brazil; State University of Maringa, Colombo Avenue, 5790, Vila Esperança, Maringa, 87020-900, Brazil; Agronomic Institute of Campinas, Barão de Itapura Avenue, 1481, Botafogo, Campinas, 13020-902, Brazil; Instituto de Astronomia, Geofísica e Ciências Atmosféricas, Universidade de São Paulo, Rua do Matão, 1226, Cidade Universitária, São Paulo, 05508-090, Brazil; Division of Water Resources Engineering, Lund University, V-Hus, Box 118, Lund, 22100, Sweden; State University of North Fluminense, Brennand Avenue, Imboassica, Macaé, 27925-535, Brazil; Departamento de Obras Civiles, Facultad de Ciencias de la Ingeniería, Universidad Católica del Maule, San Miguel Avenue, 3605, Talca, 3480112, Chile; State University of Amazonas, Leonardo Malcher Avenue, 1728, Centro, Manaus, 69020-070, Brazil
推荐引用方式 GB/T 7714	Rudke A.P.,Fujita T.,Almeida D.S.D.,et al. Land cover data of Upper Parana River Basin, South America, at high spatial resolution[J],2019,83.
APA	Rudke A.P..,Fujita T..,Almeida D.S.D..,Eiras M.M..,Xavier A.C.F..,...&Martins J.A..(2019).Land cover data of Upper Parana River Basin, South America, at high spatial resolution.International Journal of Applied Earth Observation and Geoinformation,83.
MLA	Rudke A.P.,et al."Land cover data of Upper Parana River Basin, South America, at high spatial resolution".International Journal of Applied Earth Observation and Geoinformation 83(2019).