A pre-screened and normalized multiple endmember spectral mixture analysis for mapping impervious surface area in Lake Kasumigaura Basin, Japan

Abstract

a b s t r a c tThe impervious surface area (ISA) has emerged not only as an indicator of the degree of urbanization, but also as a major indicator of environmental quality for drainage basin management. However, since almost all of the methods for estimating ISA have been developed for urban environments, it is questionable whether these methods can be successfully applied to drainage basins, such as those found in Japan, which usually have more complicated vegetation components (e.g. paddy field, plowed field and dense forest). This paper presents a pre-screened and normalized multiple endmember spectral mixture analysis (PNMESMA) method, which includes a new endmember selection strategy and an integration of the normalized spectral mixture analysis (NSMA) and multiple endmember spectral mixture analysis (MESMA), for estimating the ISA fraction in Lake Kasumigaura Basin, Japan. This new proposed method is superior to the previous methods in that the estimation error of the proposed method is much smaller than the previous SMA-or NSMA-based methods for drainage basin environments. The overall root mean square error was reduced to 5.2%, and no obvious underestimation or overestimation occurred for high or low ISA areas. Through the assessment of environmental quality in Lake Kasumigaura Basin using the ISA fraction, the results showed that the basin has been in the impacted category since 1987, and that in the two decades since, the environmental quality has continued to decline. If this decline continues, then Lake Kasumigaura Basin will fall into the degraded category by 2017.

Land Use/Land Cover Monitoring and Geospatial Technologies: An Overview

“…For the second example, researchers using Landsat 5 TM images from 1987, 1999, 2000, and 2007 analyzed impervious surface changes as an environmental health indicator for Lake Kasumigaura Basin, Japan (Lake Kasumigaura is the second largest lake in Japan) [52]. Their results showed that, by 1987, the watershed had already been impacted by land use change (all sub-basins had at least 10 % impervious surfaces).…”

Impervious Surface Information Extraction Based on Hyperspectral Remote Sensing Imagery

“…Yang used the LSMA method with multiple endmembers to obtain impervious surface information from the area of Lake Kasumigaura in Japan. The total root-mean-square error was reduced by 5.2%, but some high and low impervious surface areas were still undervalued or overestimated [23]. Lu used the LSMA model to obtain the impervious surfaces in a rural-urban fringe district, and the results showed that the impervious surface values in the rural-urban fringe district were overestimated by 50-60% [24].…”

Mapeamento de Superfícies Impermeáveis em Áreas Urbanas Utilizando Imagens Índices Geradas Pelo Sistema Landsat-5 Thematic Mapper

“…Yang et al (2010) ressaltam a importância dessa técnica para análise espacial de bacias de drenagem, afirmando que as técnicas de sensoriamento remoto possuem a inerente habilidade de prover informação temporal e espacial sobre a superfície terrestre e podem ser a única forma para monitorar em larga escala as mudanças no uso da cobertura terrestre ao longo de uma bacia de drenagem.…”