Global water vapor content and vegetation change analysis based on remote sensing data - researchr publication related

researchr

You are not signed in
Sign in
Sign up

K. B. Mao, Y. Ma, Z. Y. Zuo, Y. Q. Jiao, F. Wang, Q. Liu, Z. W. Sun. Global water vapor content and vegetation change analysis based on remote sensing data. In 2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016, Beijing, China, July 10-15, 2016. pages 5205-5208, IEEE, 2016. [doi]

The following publications are possibly variants of this publication:

Analysis on the Water Vapor Anomaly before Wenchuan Earthquake based on MODIS DataShanjun Liu, Lihua Cui, Lixin Wu, Zhi Wang. igarss 2009: 412-415 [doi]

runs on WebDSL