By Shunlin (Ed.) Liang, Shunlin Liang
This booklet collects the assessment papers from either technical periods and 3 dialogue panels of the ninth foreign Symposium on actual Measurements and Signatures in distant Sensing (ISPMSRS). It systematically summarizes the earlier achievements and identifies the frontier matters because the study schedule for the close to destiny. It covers all features of land distant sensing, from sensor structures, actual modeling, inversion algorithms, to numerous purposes. The papers on distant sensing method assessment the functions of other sensor structures for estimating key land floor variables and the way they could top be more desirable 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 investigate the present prestige of assorted functions and speak about how greater to bridge the improvement of remote-sensing technological know-how and know-how and functional purposes. Representing the group attempt and contributed through a workforce of foreign major specialists, this critical 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 complete color photographs that are published in Black and White within the book.
Read or Download Advances in Land Remote Sensing: System, Modeling, Inversion and Application PDF
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Additional info for Advances in Land Remote Sensing: System, Modeling, Inversion and Application
In situ measurements provide direct characterization, but at limited spatial and temporal extent and resolution, and frequently must be acquired under challenging or dangerous field conditions. Furthermore, because of the high spatial and temporal variability of snow cover, snow properties derived from in situ measurements often do not provide the reliable spatial and temporal characterization of distributed snow properties across model domains at the required range of resolutions. edu S. ), Advances in Land Remote Sensing, 19–49.
Advances in Land Remote Sensing, 19–49. , 2008 19 20 J. Shi Because visible and near-infrared radiation does not penetrate snow, and because the optical properties of ice and water are similar, snow reflectance in this part of the electromagnetic spectrum is not sensitive to snow depth (except for very shallow snow) or free liquid water in the snowpack. For large, flat regions, passive microwave data at 18 and 37 GHz allow sequential mapping of SWE distribution. In dry snow, the profile of the snow grain sizes also influences the microwave remote sensing signal.
The characteristic radar measurements are range – the distance from the sensor to an object point, and time – the position of the sensor along its flight path where the data are collected. They define the two-dimensional SAR image space. The total received power from a resolution cell is proportional to the radar cross section, and the rest of factors in the radar equation are generally assumed constant. The radar cross section is usually a function of polarization, frequency, viewing geometry, and illuminated area, in addition to factors such as the dielectric properties and geometric structure of the targets.