Advances in Land Remote Sensing: System, Modeling, Inversion by Shunlin (Ed.) Liang, Shunlin Liang

By Shunlin (Ed.) Liang, Shunlin Liang

This ebook collects the evaluate papers from either technical periods and 3 dialogue panels of the ninth overseas Symposium on actual Measurements and Signatures in distant Sensing (ISPMSRS). It systematically summarizes the prior achievements and identifies the frontier concerns because the examine schedule for the close to destiny. It covers all elements of land distant sensing, from sensor structures, actual modeling, inversion algorithms, to numerous functions. The papers on distant sensing approach evaluation the features of other sensor structures for estimating key land floor variables and the way they could most sensible be enhanced and built-in successfully sooner or later. Papers on modeling and inversion evaluate the cutting-edge methodologies on actual modeling and the inversion algorithms for estimating a sequence of land floor variables. The papers on distant sensing program examine the present prestige of varied purposes and talk about how greater to bridge the improvement of remote-sensing technology and know-how and sensible functions. Representing the group attempt and contributed by means of a staff of overseas prime specialists, this vital reference booklet for graduate scholars and practitioners of distant sensing additionally aids these engaged in educational examine, executive and industry.

Included is a CD-ROM containing the whole color pictures that are published in Black and White within the book.

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Extra info for Advances in Land Remote Sensing: System, Modeling, Inversion and Application

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The relationship between backscattering and snow wetness, however, can be either positive or negative, depending on snow characteristics and surface roughness and on incidence angle. Generally, as snow wetness increases the backscattering decreases rapidly for low wetness (<3%) conditions because volume scattering albedo decreases. When wetness is low, the dielectric contrast between air and snow 3 Active Microwave Remote Sensing Systems and Applications to Snow Monitoring 31 is small and volume scattering dominates, so backscattering is not sensitive to surface roughness.

S. in Aqua AMSR-E data. IEEE Trans. Geosci. Remote Sens. 42:380–390 Merlin O, Chehbouni AG, Kerr YH, Njoku EG, Entekhabi D (2005) A combined modeling and multi-spectral/multi-resolution remote sensing approach for disaggregation of surface soil moisture: application to SMOS configuration. IEEE Trans. Geosci. Remote Sens. 43:2036–2050 Narayan U, Lakshmi V, Jackson TJ (2006) High-resolution change estimation of soil moisture using L-band radiometer and radar observations made during the SMEX02 experiments.

Some successful attempts have been made at soil moisture retrieval under selected conditions (Jackson, 1997). Aqua was launched in May 2002 and ADEOS-II was also launched in the same year. Each included an AMSR instrument. ADEOS-II was lost after a few months of operation but Aqua is still providing data. 1 AMSR-E was to provide significantly lower frequency measurements than the SSM/I with the same level of spatial resolution. AMSR-E holds great promise for estimating soil water content in sparsely vegetated regions and is the best possibility in the near term for mapping soil water.

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