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2016 | 25 | 3 |
Tytuł artykułu

Land use regression modelsusing satellite aerosol optical depth observations and 3D building data from the central cities of Liaoning Province, China

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Słowa kluczowe
Wydawca
-
Rocznik
Tom
25
Numer
3
Opis fizyczny
p.1015-1026,fig.,ref.
Twórcy
autor
  • State Key Laboratory of Forest and Soil Ecology, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110164, People’s Republic of China
  • University of Chinese Academy of Sciences, Beijing 100049, People’s Republic of China
autor
  • State Key Laboratory of Forest and Soil Ecology, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110164, People’s Republic of China
autor
  • State Key Laboratory of Forest and Soil Ecology, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110164, People’s Republic of China
autor
  • State Key Laboratory of Forest and Soil Ecology, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110164, People’s Republic of China
autor
  • State Key Laboratory of Forest and Soil Ecology, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110164, People’s Republic of China
autor
  • Department of Land Surveying and Geo-Informatics, the Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong
autor
  • State Key Laboratory of Forest and Soil Ecology, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110164, People’s Republic of China
autor
  • State Key Laboratory of Forest and Soil Ecology, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110164, People’s Republic of China
  • University of Chinese Academy of Sciences, Beijing 100049, People’s Republic of China
autor
  • State Key Laboratory of Forest and Soil Ecology, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110164, People’s Republic of China
  • University of Chinese Academy of Sciences, Beijing 100049, People’s Republic of China
Bibliografia
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.agro-02425289-8195-4fb7-bd5e-fb4163aea05c
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