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Estudo da aplicabilidade dos métodos de redução espacial de imagens noturnas de lagos urbanos na bacia do Rio Yangtze (NPP-VIIRS-NTL)

  • role： First author第一作者
  • Affiliation：

    School of Geography and Environment/Key Laboratory of Wetland and Watershed Research, Ministry of Education, Jiangxi Normal University, Nanchang 330022, China

  • Email：zhawx@jxnu.edu.cn
  • Introduction：查文娴，研究方向为环境遥感。E-mail：zhawx@jxnu.edu.cn
ZHA Wenxian1,  
  • role： Corresponding author通信作者
  • Affiliation：

    School of Geography and Environment/Key Laboratory of Wetland and Watershed Research, Ministry of Education, Jiangxi Normal University, Nanchang 330022, China

  • Email：zhm8012@jxnu.edu.cn
  • Introduction：赵红梅，研究方向为环境遥感。E-mail：zhm8012@jxnu.edu.cn
ZHAO Hongmei1*,  
  • Affiliation：

    School of Information and Software Engineering, East China Jiaotong University, Nanchang 330013, China

DENG Zhigang2,  
  • Affiliation：

    State Key Laboratory of Tropical Oceanography & Guangdong Key Laboratory of Ocean Remote Sensing, South China Sea Institute of Oceanology Chinese Academy of Sciences, Guangzhou 510000, China

LI Wenkai3

Resumo

As imagens de sensoriamento remoto noturno têm sido amplamente aplicadas em áreas como meio ambiente urbano, economia social, proteção ecológica e avaliação pós-desastres de conflitos armados. No entanto, devido à falta de dados noturnos de sensoriamento remoto de alta resolução espacial e longa série temporal, a avaliação do ambiente das águas urbanas é relativamente escassa na pesquisa de sensoriamento remoto noturno. Este estudo visa preencher essa lacuna na pesquisa de ambientes aquáticos internos, focando em lagos urbanos de formas variadas com área superior a 3 km² na bacia do Rio Yangtze. São integrados parâmetros de avaliação do ambiente aquático por sensoriamento remoto, como a Temperatura de Brilho do Lago (LBT), o Índice de Algas Flutuantes (FAI) e o Índice de Cor da Água (FUI), utilizando métodos de redução espacial adequados para dados termais infravermelhos como DisTrad, Regressão Geograficamente Ponderada (GWR) e Floresta Aleatória (RF). Introduzindo teoria orientada a objetos e métodos estatísticos de correlação, busca-se o melhor método de redução espacial para as imagens noturnas NTL do satélite Suomi-NPP (Suomi National Polar-orbiting Partnership) com o Radiômetro de Imagens Infravermelhas Visíveis (VIIRS). Os resultados indicam que o método DisTrad orientado a objetos (OD-TA), baseado em LBT e FAI, apresenta certa estabilidade, enquanto o método de Regressão Geograficamente Ponderada orientado a objetos (OGWR-TU), baseado em LBT e FUI, mostra excelente desempenho em lagos urbanos grandes (>10 km²) com alta complexidade de forma (PARA>65), como os lagos Dian e Chao; a morfologia espacial dos lagos e as características socioculturais da iluminação noturna à beira do lago são os principais fatores que influenciam a aplicabilidade dos métodos de redução espacial. Os resultados deste estudo não apenas preenchem a lacuna de imagens NTL de alta resolução espacial e longo prazo para áreas aquáticas, mas também oferecem suporte metodológico e de dados para avaliação da poluição luminosa em lagos urbanos e análise do ambiente sociocultural à beira dos lagos.

Palavras-chave

luz noturna;temperatura de brilho;redução espacial;NPP-VIIRS;lagos urbanos

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