Rebuilding long time series global soil moisture products using the neural network adopting the microwave vegetation index (Correction)
SHI, Jiancheng
State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth
State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth
ZHAO, Tianjie
State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth
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State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth
SHI, Jiancheng
State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth
State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth
ZHAO, Tianjie
State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth
< Réduire
State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth
Langue
en
Article de revue
Ce document a été publié dans
Remote Sensing. 2017, vol. 9, n° 8, p. 1 p.
MDPI
Résumé en anglais
Rebuilding long time series global soil moisture products using the neural network adopting the microwave vegetation index (Correction)
Rebuilding long time series global soil moisture products using the neural network adopting the microwave vegetation index (Correction)< Réduire
Mots clés
télédétection
indice de végétation
analyse de données
radiomètre
Mots clés en anglais
data analysis
radiometer
remote sensing
Origine
Importé de halUnités de recherche