DocumentCode :
3063291
Title :
Soil moisture inversion and validation based on new remote sensing platform
Author :
Chen Du ; Qiming Qin ; Mingchao Liu ; Haixia Feng ; Heng Dong ; Nan Wang
Author_Institution :
Inst. of Remote Sensing & Geographic Inf. Syst., Peking Univ., Beijing, China
fYear :
2013
fDate :
21-26 July 2013
Firstpage :
2728
Lastpage :
2731
Abstract :
Soil moisture not only is an important parameter in precision agriculture, but is the main parameter in crop condition monitoring. We developed the method of soil moisture monitoring and evaluation with the new remote sensing platform, modified the existing indexes of PDI and MPDI, established inversion model and invert the soil moisture.
Keywords :
moisture; remote sensing; soil; vegetation; MPDI index; crop condition monitoring; inversion model; remote sensing platform; soil moisture evaluation; soil moisture inversion; soil moisture monitoring; soil moisture validation; Indexes; Moisture measurement; Monitoring; Remote sensing; Soil measurements; Soil moisture; Vegetation mapping; MPDI; New Remote Sensing Platform; PDI; Soil Moisture; modified PDI;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
ISSN :
2153-6996
Print_ISBN :
978-1-4799-1114-1
Type :
conf
DOI :
10.1109/IGARSS.2013.6723387
Filename :
6723387
Link To Document :
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