предыдущий|следующий

Исследование применимости методов пространственного снижения масштаба ночных снимков городских озер бассейна реки Янцзы (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

реферат

Ночные снимки с датчиков спутникового зондирования широко применяются в областях городской среды, социально-экономических исследований, охраны экологии, оценки последствий вооруженных конфликтов. Однако из-за отсутствия долгосрочных данных ночного зондирования с высоким пространственным разрешением, оценка качества городских водных объектов недостаточно развита. Настоящее исследование направлено на восполнение пробела в изучении внутренних водных объектов с использованием данных ночного зондирования, с фокусом на городские озера различной формы площадью более 3 км² в бассейне реки Янцзы. Использованы параметры оценки водной среды: температура яркости озера LBT, индекс плавающих водорослей FAI и индекс цвета воды FUI; применены методы пространственного снижения масштаба, подходящие для данных термического инфракрасного зондирования, такие как DisTrad, географически взвешенная регрессия GWR и случайный лес RF, а также введены объектно-ориентированная теория и корреляционные статистические методы для исследования оптимальных методов пространственного снижения масштаба ночных снимков VIIRS (Visible Infrared Imaging Radiometer Suite) спутника Suomi-NPP. Результаты показывают, что объектно-ориентированный метод DisTrad (OD-TA) на основе LBT и FAI стабильен, а объектно-ориентированный географически взвешенный регрессионный метод (OGWR-TU) на основе LBT и FUI превосходно проявляет себя на крупных (более 10 км²) и сложных по форме (PARA>65) городских озерах, таких как озеро Дянь и Чао; пространственная форма озер и социально-гуманитарные характеристики ночного освещения на берегах являются основными факторами, влияющими на применимость методов пространственного снижения масштаба. Результаты исследования заполняют пробел в долгосрочных данных высокого пространственного разрешения NTL для водных объектов и предоставляют методическую и информационную поддержку для оценки светового загрязнения и анализа социально-гуманитарной среды прибрежных водоемов.

ключеви́че слова́

ночное освещение;яркостная температура;пространственное снижение масштаба;NPP-VIIRS;городские озера

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