Results 221 to 230 of about 5,842 (246)

Microwave vegetation indices and the application for vegetation optical depth retrieval using WindSat data

2014 XXXIth URSI General Assembly and Scientific Symposium (URSI GASS), 2014
The vegetation optical depth, which describes vegetation attenuation properties, is a key factor for estimating soil moisture and some vegetation parameters such as vegetation water content and biomass. Vegetation indices are effective tools for retrieving vegetation optical depth.
Yunqing Li, Jiancheng Shi
openaire   +1 more source

Smos L-Band Vegetation Optical Depth is Highly Sensitive to Aboveground Biomass

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
The vegetation optical depth (VOD) measured at microwave frequencies is related to the vegetation water content and provides information complementary to visible/infra-red vegetation indices. This study is devoted to the characterisation of a new L-Band (1.4 GHz) VOD dataset (SMOS-IC L-VOD) obtained from the SMOS (Soil Moisture and Ocean Salinity ...
Rodriguez-Fernandez, N. J., Mialon, A., Mermoz, S., Bouvet, A., Richaume, P., Al Bitar, A., Al-Yaari, A., Brandt, M., Kaminski, T., Toan, T. Le, Kerr, Y. H., Wigneron, J. -P   +11 more
openaire   +3 more sources

Comparison of SMOS and AMSR-E vegetation optical depth to four MODIS-based vegetation indices

Remote Sensing of Environment, 2016
The main objectives of this study were to provide a proxy "validation" of the Soil Moisture and Ocean Salinity (SMOS) mission's vegetation optical depth product (τSMOS) on a global scale, to give a first indication of the potential of τSMOS to capture large-scale vegetation dynamics, and to contribute towards investigations into the possible use of ...
Grant, Jennifer, Wigneron, Jean-Pierre, de Jeu, Richard, Lawrence, Heather, Mialon, Arnaud, Richaume, Philippe, Ahmad, Al Bitar, Drusch, Matthias, van Marle, Margreet, Kerr, Yann H.   +9 more
openaire   +2 more sources

Comparison of vegetation optical depth estimation methods using AMSR-E data

2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS, 2013
The vegetation optical depth (τ, tau), which describes microwave attenuation properties of vegetation, is a key parameter for vegetation biomass and soil moisture estimation. In this paper, we have implemented five semi-empirical/empirical methods for vegetation optical depth estimation.
Yunqing Li, Jiancheng Shi, Tianjie Zhao
openaire   +1 more source

Analytical Derivation of the Vegetation Optical Depth From the Microwave Polarization Difference Index

IEEE Geoscience and Remote Sensing Letters, 2005
A numerical solution for the canopy optical depth in an existing microwave-based land surface parameter retrieval model is presented. The optical depth is derived from the microwave polarization difference index and the dielectric constant of the soil.
Meesters, A.G.C.A., de Jeu, R.A.M., Owe, M.   +2 more
openaire   +1 more source

Aboveground Carbon Dynamics from SMOS L-Band Vegetation Optical Depth

2023
Lei Fan, Jean-Pierre Wigneron
openaire   +1 more source

The fundamentals and applications of ferroelectric HfO2

Nature Reviews Materials, 2022
Uwe Schroeder, Min Hyuk Park, Thomas Mikolajick   +2 more
exaly  

Downscaling of vegetation optical depth based on random forest using vegetation optical depth memory

Remote Sensing Letters
Hongbo Yan, Chenlei Wang, Xianjian Lu
openaire   +1 more source

Heuristic solution for achieving long-term cycle stability for Ni-rich layered cathodes at full depth of discharge

Nature Energy, 2020
Un-Hyuck Kim, Jun Liu, Liang-Yin Kuo
exaly  

Depth-dependent defect manipulation in perovskites for high-performance solar cells

Energy and Environmental Science, 2021
Yuzhuo Zhang, Lichen Zhao, Xiaoyu Yang
exaly