Your browser doesn't support javascript.
loading
[Remote Sensing of Chlorophyll-a Concentrations in Lake Hongze Using Long Time Series MERIS Observations].
Liu, Ge; Li, Yun-Mei; Lü, Heng; Mu, Meng; Lei, Shao-Hua; Wen, Shuang; Bi, Shun; Ding, Xiao-Lei.
Afiliação
  • Liu G; Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing 210023, China.
  • Li YM; Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing 210023, China.
  • Lü H; Jiangsu Center for Collaboration Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China.
  • Mu M; Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing 210023, China.
  • Lei SH; Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing 210023, China.
  • Wen S; Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing 210023, China.
  • Bi S; Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing 210023, China.
  • Ding XL; Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing 210023, China.
Huan Jing Ke Xue ; 38(9): 3645-3656, 2017 Sep 08.
Article em Zh | MEDLINE | ID: mdl-29965243

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Lagos / Monitoramento Ambiental / Tecnologia de Sensoriamento Remoto / Clorofila A Tipo de estudo: Prognostic_studies País como assunto: Asia Idioma: Zh Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Lagos / Monitoramento Ambiental / Tecnologia de Sensoriamento Remoto / Clorofila A Tipo de estudo: Prognostic_studies País como assunto: Asia Idioma: Zh Ano de publicação: 2017 Tipo de documento: Article