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Download E-books Land Remote Sensing and Global Environmental Change: NASA's Earth Observing System and the Science of ASTER and MODIS (Remote Sensing and Digital Image Processing) PDF

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By Bhaskar Ramachandran, Christopher O. Justice, Michael J. Abrams

Land distant Sensing and worldwide Environmental swap: The technology of ASTER and MODIS is an edited compendium of contributions facing ASTER and MODIS satellite tv for pc sensors aboard NASA's Terra and Aqua systems introduced as a part of the Earth watching method fleet in 1999 and 2002 respectively. This quantity is split into six sections. the 1st 3 sections supply insights into the heritage, philosophy, and evolution of the EOS, ASTER and MODIS device designs and calibration mechanisms, and the information structures parts used to regulate and supply the technological know-how information and derived items. The latter 3 sections completely take care of ASTER and MODIS info items and their functions, and the way forward for those sessions of remotely sensed observations.

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Three, zero. five, zero. 7, and 1. zero are sufficient with interpolation inflicting <0. 2% transformations. the most important to this LUT method is that it calls for wisdom of the atmospheric parameters to entry the fitting a part of the LUT. the truth that the ASTER tool was once now not initially designed to retrieve atmospheric info complicates this requirement. for that reason, the ASTER technological know-how crew is determined by outdoors resources for atmospheric parameters together with effects from different Terra platform sensors, similar to the MISR, and MODIS or different sensors akin to TOMS (Total Ozone Mapping Spectrometer). The correction will depend on climatological values or info derived from numerical climate prediction types whilst day-by-day values from 5  ASTER VNIR and SWIR Radiometric Calibration and Atmospheric Correction 113 satellite-based measurements are unavailable. The atmospheric details wanted for the calculation of the atmospheric correction is at decrease resolutions to that of ASTER. an identical holds real for floor topographic info, the place the single worldwide electronic elevation version (DEM) to be had for ASTER is ETOPO5 that has elevations published nearly each 10 km (Gesch 1994). Interpolation around the ASTER scene isn't really performed at the moment until eventually a greater realizing of the spatial variability of enter parameters is understood. five. five. 3 Uncertainty Estimates desk five. nine lists the uncertainty resources for atmospheric correction. The desk exhibits effects for an extremely low reflectance case (reflectance <0. 1) and a excessive reflectance case (>0. 1). the cause of dividing the desk is that a few of the uncertainties strongly depend upon reflectance. those values are in step with what's anticipated for such paintings. the whole mistakes column studies at-sensor radiance mistakes in percent. the final overall is the basis sum of squares of all of the mistakes resources. the alternative of the basis sum of squares isn't inevitably legitimate, because the assets are usually not autonomous from time to time. those tables are meant to point which parameters could reason difficulties while the atmospheric correction is carried out. the 1st resource of uncertainty is the sensor calibration on the topic of the mistake in changing the satellite tv for pc electronic numbers to radiance. absolutely the specification for ASTER is 4%. The LUT indicates the most important anticipated uncertainty in computing the radiance. additionally proven is the uncertainty within the scattering optical intensity, that is <1% at floor reflectance >0. 1, and optical intensity uncertainties of zero. 05. This raises to an eight% blunders whilst the outside reflectance is <0. 1. huge uncertainties as a result of the aerosol measurement distribution aren't hottest simply because mistakes from retrieving the aerosol varieties should still cancel to a point while utilized to ASTER. the assumption is that, the aerosol sort chosen via the MISR and MODIS algorithms most sensible fit the measured radiance distribution on the most sensible of the ambience. If those aerosol desk five. nine  checklist of the uncertainty assets for the atmospheric correction Low reflectance excessive reflectance resource blunders (%) blunders (%) Sensor radiometric calibration four four Scattering optical intensity eight 1 Aerosol style 10 five floor top four 1 LUT three three floor BRF 1 1 Inherent code accuracy 1 1 overall errors (root sum of squares) 14 7 114 okay.

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