Modis Lst

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Hourly LST Monitoring with the Japanese Geostationary

Hourly LST Monitoring with the Japanese Geostationary

13 Pages
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hourly lst monitoring with the japanese geostationary satellite mtsat-1r over the asia-pacific region kei oyoshi1*, shin akatsuka2, wataru takeuchi3 and shinichi sobue1 1earth observation research center, japan aerospace exploration agency, 2-1-1 sengen, tsukuba, ibaraki, japan 2yamanashi institute of environmental sciences, 5597-1 kenmarubi, kamiyoshida, fujiyoshida, yamanashi 403-0005, japan 3the university of

Modis Atmospheric Profile Retrieval Algorithm Theoretical

Modis Atmospheric Profile Retrieval Algorithm Theoretical

32 Pages
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modis atmospheric profile retrieval algorithm theoretical basis document collection 6 eva e. borbas1, suzanne w. seemann1, aniko kern2, leslie moy1, jun li1, liam gumley1 and w. paul menzel1 university of wisconsin-madison 1225 w. dayton st. madison, wi 53706 version 7 april 6, 2011 1 cooperative institute for meteorological satellite studies

EOS MODIS and SNPP VIIRS Cloud Properties - LAADS DAAC

EOS MODIS and SNPP VIIRS Cloud Properties - LAADS DAAC

65 Pages
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eos modis and snpp viirs cloud properties: user guide for the climate data record continuity level-2 cloud top and optical properties product (cldprop) version 1 february 2019 cloud masking team steven a. ackerman6, richard frey6 cloud top property team andrew heidinger2, yue li6, andi walther6 cloud optical property team steven

Nighttime Multilayered Cloud Detection Using MODIS and ARM Data

Nighttime Multilayered Cloud Detection Using MODIS and ARM Data

15 Pages
1.2 MB
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july 2003 baum et al. 905 nighttime multilayered cloud detection using modis and arm data bryan a. baum nasa langley research center, hampton, virginia richard a. frey cooperative institute for meteorological satellite studies, university of wisconsin—madison, madison, wisconsin gerald g. mace university of utah, salt lake city,

P1.6 Modis Radiances And Reflectances For

P1.6 Modis Radiances And Reflectances For

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p1.6 modis radiances and reflectances for earth system science studies and environmental applications s. p. ahmad *, v. v. salomonson, w. l. barnes, x. xiong, g. g. leptoukh, and g. n. serafino nasa goddard space flight center, greenbelt, maryland 1. introduction the moderate resolution imaging spectroradiometer (modis), a

Determination of relationship between MODIS Vegetation

Determination of relationship between MODIS Vegetation

19 Pages
1.1 MB
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35th afsaap annual conference proceedings 2012 – www.afsaap.org.au determination of relationship between modis vegetation indices (arithmetic mean), biomass, rainfall, and field measurements of sandveld research station in camel thorn savannah of namibia. alois katiti university of tasmania namibia is located on the south-west coast of africa between the latitudes 17.5⁰

Study for Predicting Land Surface Temperature (LST) Using

Study for Predicting Land Surface Temperature (LST) Using

16 Pages
6.2 MB
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hindawi advances in civil engineering volume 2020, article id 7363546, 16 pages https://doi.org/10.1155/2020/7363546 research article study for predicting land surface temperature (lst) using landsat data: a comparison of four algorithms elhadi k. mustafa ,1 yungang co,1,2 guoxiang liu,1,2 mosbeh r. kaloop ,3 ashraf a. beshr,3 fawzi zarzoura,3 and mohammed

Frequently Asked Questions Local Services Tax (lst)

Frequently Asked Questions Local Services Tax (lst)

4 Pages
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frequently asked questions local services tax (lst) (formerly the emergency and municipal services tax) pennsylvania act 7 of 2007 amends the local tax enabling act, act 511 of 1965, to make the following major changes to the emergency and municipal services tax (emst), effective for tax year 2008. the employer

Effects of time-varying relative spectral response on the

Effects of time-varying relative spectral response on the

10 Pages
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effects of time-varying relative spectral response on the calibration of modis reflective solar bands kevin a. twedt*a, amit angala, and xiaoxiong xiongb ascience systems and applications inc., lanham, md 20706, usa bsciences and exploration directorate, nasa/gsfc, greenbelt, md 20771, usa abstract calibration of the on-orbit gain changes of the narrow

Impact of MODIS and AIRS total precipitable water on

Impact of MODIS and AIRS total precipitable water on

18 Pages
7.9 MB
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journal of geophysical research, vol. 116, d02126, doi:10.1029/2010jd014528, 2011 impact of modis and airs total precipitable water on modifying the vertical shear and hurricane emily simulations yi‐chin liu,1 shu‐hua chen,1 and fang‐ching chien2 received 25 may 2010; revised 2 november 2010; accepted 2 december 2010; published 28 january 2011.

Operational Retrieval of Atmospheric Temperature, Moisture

Operational Retrieval of Atmospheric Temperature, Moisture

20 Pages
1.5 MB
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1072 journal of applied meteorology volume 42 operational retrieval of atmospheric temperature, moisture, and ozone from modis infrared radiances suzanne w. seemann and jun li cooperative institute for meteorological satellite studies, university of wisconsin—madison, madison, wisconsin w. paul menzel office of research and applications, noaa/nesdis, madison, wisconsin

Volcanic Ash Cloud Heights Using the MODIS CO2-Slicing

Volcanic Ash Cloud Heights Using the MODIS CO2-Slicing

8 Pages
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p8.6 volcanic ash cloud heights using the modis co2-slicing algorithm michael s. richards*, steve a. ackerman*, michael j. pavolonis*, wayne f. feltz*, andrew tupper# *cooperative institute for meteorological satellite studies university of wisconsin – madison madison, wisconsin, usa #bureau of meteorology, casuarina, northern territory 0810 & school of mathematical sciences,

Melt ponds on Arctic sea ice determined from MODIS satellite

Melt ponds on Arctic sea ice determined from MODIS satellite

16 Pages
1.8 MB
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the cryosphere, 6, 431–446, 2012 www.the-cryosphere.net/6/431/2012/ doi:10.5194/tc-6-431-2012 © author(s) 2012. cc attribution 3.0 license. the cryosphere melt ponds on arctic sea ice determined from modis satellite data using an artificial neural network a. ro¨sel1,2, l. kaleschke1, and g. birnbaum3 1institute of oceanography, university of hamburg, bundesstr. 53, 20146

Research Article Comparative Study of M5 Model Tree and

Research Article Comparative Study of M5 Model Tree and

12 Pages
2.4 MB
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hindawi publishing corporation journal of climatology volume 2014, article id 839205, 11 pages http://dx.doi.org/10.1155/2014/839205 research article comparative study of m5 model tree and artificial neural network in estimating reference evapotranspiration using modis products armin alipour, jalal yarahmadi, and maryam mahdavi department of irrigation and drainage engineering, college of

29 30 31 32 MODIS - Hyperspectral Infrared Imager

29 30 31 32 MODIS - Hyperspectral Infrared Imager

1 Pages
1.1 MB
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potential of hyspiri/tir emissivity spectra for snow/ice monitoring (2) masayuki miyazaki , and hideyuki tonooka* (ibaraki univ., japan) *hyspiri international science group abstract in snow/ice remote sensing, thermal infrared (tir) bands are used for observing surface temperature, but not used for analyzing spectral features in emissivity. it is, however,

MODIS Vegetation Index User s Guide (MOD13 Series)

MODIS Vegetation Index User s Guide (MOD13 Series)

35 Pages
2.3 MB
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modis vegetation index user’s guide (mod13 series) version 3.00, june 2015 (collection 6) kamel didan*, armando barreto munoz, ramon solano, alfredo huete (*[email protected]) vegetation index and phenology lab http://vip.arizona.edu the university of arizona this is a live document that serves as the user guide for the modis vegetation index product

Cloud Top Properties And Cloud Phase Algorithm Theoretical

Cloud Top Properties And Cloud Phase Algorithm Theoretical

73 Pages
3.2 MB
11,305
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cloud top properties and cloud phase algorithm theoretical basis document w. paul menzel space science and engineering center university of wisconsin – madison richard a. frey cooperative institute for meteorological satellite studies university of wisconsin - madison bryan a. baum space science and engineering center university of wisconsin – madison

MODIS Cloud Optical Property User Guide v1.0 Final

MODIS Cloud Optical Property User Guide v1.0 Final

145 Pages
6.2 MB
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modis cloud optical properties: user guide for the collection 6 level-2 mod06/myd06 product and associated level-3 datasets best quality broken/partly cloudy failed retrieval metric cloud optical thickness version 1.0 october 2015 steven platnick 1, michael d. king 2, kerry g. meyer 3,1, gala wind 4,1, nandana

Overview of the radiometric and biophysical performance of

Overview of the radiometric and biophysical performance of

19 Pages
1.3 MB
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remote sensing of environment 83 (2002) 195 – 213 www.elsevier.com/locate/rse overview of the radiometric and biophysical performance of the modis vegetation indices a. huete a,*, k. didan a, t. miura a, e.p. rodriguez a, x. gao a, l.g. ferreira b adepartment of soil, water, and environmental science, university

MODIS Atmosphere L3 Gridded Product Algorithm Theoretical

MODIS Atmosphere L3 Gridded Product Algorithm Theoretical

96 Pages
5.7 MB
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modis atmosphere l3 gridded product algorithm theoretical basis document monthly mean liquid water cloud optical thickness from aqua/modis for july 2006 paul a. hubanks1, michael d. king,2,3 steven a. platnick2, and robert a. pincus4 modis algorithm theoretical basis document no. atbd-mod-30 for level-3 global gridded atmosphere products (08_d3, 08_e3, 08_m3)