PERPUSTAKAAN BIG

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Journal of Spatial Science Vol.64 No.3 2019

Graeme Wright - Nama Orang;

1.Using AUSGeoid2020 and its error grids in surveying computations p.363-380
2.Comparison of advanced troposphere models for aiding reduction of PPP convergence time in Australia p.381-403
3.State and development of local spatial data infrastructures in Croatia p.405-422
4.Assessing the accuracy of kernel smoothing population surface models for Northern Ireland using geographically weighted regression p.423-441
5.A knowledge reuse framework for automatic construction of multi-type 3D railway scenes p.443-468
6.Shannon entropy as a peri-urban landscape metric: concentration of anthropogenic land cover element p.469-489
7.Identification and mapping of high-potential iron ore alteration zone across Joda, Odisha using ASTER and EO-1 hyperion data p.491-514
8.Combining Landsat and landscape metrics to analyse large-scale urban land cover change: a case study in the Jakarta Metropolitan Area p.515-534
9.Can remote sensing detect, monitor and track baboon-damaged Pinus plantations located in South Africa? p.535-549


Ketersediaan
M.4131-XII-2019526Perpustakaan BIG (500)Tersedia
Informasi Detail
Judul Seri
-
No. Panggil
526
Penerbit
Essex : Taylor & Francis Group., 2019
Deskripsi Fisik
561 hlm.: illus 25cm
Bahasa
Inggris
ISBN/ISSN
1449-8596
Klasifikasi
526
Tipe Isi
text
Tipe Media
other
Tipe Pembawa
unspecified
Edisi
Vol.64 No.1
Subjek
-
Info Detail Spesifik
-
Pernyataan Tanggungjawab
Editor-in-Chief Graeme Wright
Versi lain/terkait

Tidak tersedia versi lain

Lampiran Berkas
  • Using AUSGeoid2020 and its error grids in surveying computations
  • Comparison of advanced troposphere models for aiding reduction of PPP convergence time in Australia
  • State and development of local spatial data infrastructures in Croatia
  • Assessing the accuracy of kernel smoothing population surface models for Northern Ireland using geographically weighted regression
  • A knowledge reuse framework for automatic construction of multi-type 3D railway scenes
  • Shannon entropy as a peri-urban landscape metric: concentration of anthropogenic land cover element
  • Identification and mapping of high-potential iron ore alteration zone across Joda, Odisha using ASTER and EO-1 hyperion data
  • Combining Landsat and landscape metrics to analyse large-scale urban land cover change: a case study in the Jakarta Metropolitan Area
  • Can remote sensing detect, monitor and track baboon-damaged Pinus plantations located in South Africa?
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Perpustakaan Badan Informasi Geospasial (BIG) adalah sebuah perpustakaan yang berada di bawah Badan Informasi Geospasial Indonesia. Perpustakaan ini memiliki koleksi yang berkaitan dengan informasi geospasial, termasuk peta, data geospasial, dan literatur terkait. Selengkapnya

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