LEADER 01270nam a2200337 i 4500 001 991000827879707536 005 20020506124937.0 008 951017s1966 us ||| | eng 035 $ab10135273-39ule_inst 035 $aLE00637512$9ExL 040 $aDip.to Fisica$bita 084 $a53(083) 084 $a53.5.2 084 $a535'84 084 $aQC100 100 1 $aWiese, W.L.$053220 245 10$aAtomic transition probabilities :$ba critical data compilation /$cW.L. Wiese, M.W. Smith and B.M. Glennon 260 $aWashington :$bNational Technical Information Service,$c1966 300 $a2 v. ;$c30 cm. 500 $aVol. 1 : Hydrogen through neon 500 $aVol. 2 : Sodium through calcium 650 4$aAtomic transition probabilities 700 1 $aSmith, M.W. 700 1 $aGlennon, B.M. 907 $a.b10135273$b21-09-06$c27-06-02 912 $a991000827879707536 945 $aLE006 53(083) WIE$cV. 2$g1$i2006000158770$lle006$o-$pE0.00$q-$rl$s- $t0$u0$v0$w0$x0$y.i10159368$z27-06-02 945 $aLE006 53(083) WIE$cV. 1$g1$i2006000097932$lle006$o-$pE0.00$q-$rl$s- $t0$u0$v0$w0$x0$y.i1015937x$z27-06-02 996 $aAtomic Transition Probabilities$9134493 997 $aUNISALENTO 998 $ale006$b01-01-95$cm$da $e-$feng$gus $h0$i2 LEADER 05031nam 2201297z- 450 001 9910557577103321 005 20220111 035 $a(CKB)5400000000043878 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/77082 035 $a(oapen)doab77082 035 $a(EXLCZ)995400000000043878 100 $a20202201d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aSpatio-Temporal Analysis of Urbanization Using GIS and Remote Sensing in Developing Countries 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 online resource (304 p.) 311 08$a3-0365-2541-6 311 08$a3-0365-2540-8 330 $aOver the last two decades, many researchers have focused on developing countries' urbanization patterns and processes. In this context, the scarcity of spatial data has been an obstacle to studying urbanization quantitatively, especially in Asian and African cities. The use of remote sensing data and geographical information systems (GIS) techniques can overcome the above limitations. Data on land use and land cover, land surface temperature, population density, and energy consumption can be extracted based on remote sensing at various spatial and temporal resolutions. GIS techniques can be used to analyze urbanization patterns and predict future patterns. Thus, the link between urbanization and sustainable urban development has increasingly become a principal issue in designing and developing sustainable cities at the local, regional, and global levels. This volume shows the spatiotemporal analysis of urbanization using GIS and remote sensing in developing countries, with a special emphasis on future urban sustainability in Asia and Africa. Capturing the spatial-temporal variation of urbanization patterns will help introduce proper sustainable urban planning in developing countries, especially for Asian and African cities. 606 $aGeography$2bicssc 606 $aResearch and information: general$2bicssc 610 $aAddis Ababa 610 $aagricultural land 610 $aAHP 610 $abiophysical composition index 610 $aBlantyre city 610 $abuilt-up land 610 $acellular automata 610 $acheck-in data 610 $aChina 610 $acoastal city 610 $aCOVID-19 pandemic 610 $aDMSP-OLS 610 $adriving forces 610 $adynamic motoring 610 $aecological status 610 $aenvironment 610 $aenvironmental quality 610 $aEthiopia 610 $afragmentation 610 $aGIS 610 $agradient analysis 610 $aGWR 610 $ahabitat quality 610 $aimpervious surface area 610 $aIndia 610 $aindustrial rural area 610 $aKandy city 610 $aland cover 610 $aland surface temperature 610 $aland use and cover 610 $alandscape ecology 610 $alandscape pattern 610 $alife quality index (LQI) 610 $aLST 610 $aLUCC 610 $aLULC change 610 $aMCDM 610 $aMODIS 610 $an/a 610 $anon-agricultural conversion of rural land 610 $aNuwara Eliya 610 $aPearl River Delta 610 $aPingtan Island 610 $aPM10 concentration 610 $apoint of interest 610 $aregression analysis 610 $aremote sensing 610 $aRSEI 610 $arural landscape 610 $asocial media platform 610 $asouthern Jiangsu 610 $aspatial differences 610 $aspatial layout 610 $aspatial pattern 610 $aspatial patterns 610 $aspatiotemporal analysis 610 $aSri Lanka 610 $asub-Saharan region 610 $asurface urban heat island 610 $asystematic transition 610 $atransition matrix 610 $atransportation infrastructure 610 $aurban agglomeration 610 $aurban development zones 610 $aurban green space 610 $aurban heat island 610 $aurban land expansion 610 $aurban planning 610 $aurban public space 610 $aurban sustainability 610 $aurban-rural gradient 610 $aurbanization 610 $aXiamen 610 $aYangtze River Delta Urban Agglomeration 615 7$aGeography 615 7$aResearch and information: general 700 $aMurayama$b Yuji$4edt$01303463 702 $aSimwanda$b Matamyo$4edt 702 $aRanagalage$b Manjula$4edt 702 $aMurayama$b Yuji$4oth 702 $aSimwanda$b Matamyo$4oth 702 $aRanagalage$b Manjula$4oth 906 $aBOOK 912 $a9910557577103321 996 $aSpatio-Temporal Analysis of Urbanization Using GIS and Remote Sensing in Developing Countries$93027076 997 $aUNINA