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Editorial

Quantitative Remote Sensing of Land Surface Variables: Progress and Perspective

1
Department of Geographical Sciences, University of Maryland, College Park, MD 20742, USA
2
Department of Earth and Atmospheric Sciences, Saint Louis University, St. Louis, MO 63108, USA
3
Terrestrial Information Systems Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(18), 2150; https://doi.org/10.3390/rs11182150
Submission received: 26 August 2019 / Accepted: 27 August 2019 / Published: 16 September 2019
(This article belongs to the Special Issue Quantitative Remote Sensing of Land Surface Variables)

Excerpt

Note: In lieu of an abstract, this is an excerpt from the first page.

The land is of particular importance to the human being, not only because it is our, as well as terrestrial biomes’, habitat, but the land surface also plays a unique role in the Earth system [...]

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MDPI and ACS Style

Wang, D.; Sagan, V.; Guillevic, P.C. Quantitative Remote Sensing of Land Surface Variables: Progress and Perspective. Remote Sens. 2019, 11, 2150. https://doi.org/10.3390/rs11182150

AMA Style

Wang D, Sagan V, Guillevic PC. Quantitative Remote Sensing of Land Surface Variables: Progress and Perspective. Remote Sensing. 2019; 11(18):2150. https://doi.org/10.3390/rs11182150

Chicago/Turabian Style

Wang, Dongdong, Vasit Sagan, and Pierre C. Guillevic. 2019. "Quantitative Remote Sensing of Land Surface Variables: Progress and Perspective" Remote Sensing 11, no. 18: 2150. https://doi.org/10.3390/rs11182150

APA Style

Wang, D., Sagan, V., & Guillevic, P. C. (2019). Quantitative Remote Sensing of Land Surface Variables: Progress and Perspective. Remote Sensing, 11(18), 2150. https://doi.org/10.3390/rs11182150

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