PASSIVE MICROWAVE REMOTE-SENSING OF SOIL-MOISTURE

Citation
Eg. Njoku et D. Entekhabi, PASSIVE MICROWAVE REMOTE-SENSING OF SOIL-MOISTURE, Journal of hydrology, 184(1-2), 1996, pp. 101-129
Citations number
58
Categorie Soggetti
Engineering, Civil","Water Resources","Geosciences, Interdisciplinary
Journal title
ISSN journal
00221694
Volume
184
Issue
1-2
Year of publication
1996
Pages
101 - 129
Database
ISI
SICI code
0022-1694(1996)184:1-2<101:PMROS>2.0.ZU;2-3
Abstract
Microwave remote sensing provides a unique capability for direct obser vation of soil moisture. Remote measurements from space afford the pos sibility of obtaining frequent, global sampling of soil moisture over a large fraction of the Earth's land surface. Microwave measurements h ave the benefit of being largely unaffected by cloud cover and variabl e surface solar illumination, but accurate soil moisture estimates are limited to regions that have either bare soil or low to moderate amou nts of vegetation cover. A particular advantage of passive microwave s ensors is that in the absence of significant vegetation cover soil moi sture is the dominant effect on the received signal. The spatial resol utions of passive microwave soil moisture sensors currently considered for space operation are in the range 10-20 km. The most useful freque ncy range for soil moisture sensing is 1-5 GHz. System design consider ations include optimum choice of frequencies, polarizations, and scann ing configurations, based on trade-offs between requirements for high vegetation penetration capability, freedom from electromagnetic interf erence, manageable antenna size and complexity, and the requirement th at a sufficient number of information channels be available to correct for perturbing geophysical effects. This paper outlines the basic pri nciples of the passive microwave technique for soil moisture sensing, and reviews briefly the status of current retrieval methods. Particula rly promising are methods for optimally assimilating passive microwave data into hydrologic models. Further studies are needed to investigat e the effects on microwave observations of within-footprint spatial he terogeneity of vegetation cover and subsurface soil characteristics, a nd to assess the limitations imposed by heterogeneity on the retrievab ility of large-scale soil moisture information from remote observation s.