Penginderaan jauh untuk pengisian GAP data liputan lahan dan tata guna lahan

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ISBN/ISSN

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Deskripsi Fisik

ii,16 hlm. illus. 28 cm.

Judul Seri

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No. Panggil

Buku.Karya 1983/01 Bad p

GIS tutor 2: the quick refence guide

Edisi

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ISBN/ISSN

0-582-223810-2

Deskripsi Fisik

105 hlm. illus.

Judul Seri

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No. Panggil

910.285 JON g

An open-source, QGIS-based solution for digital geological mapping: GEOL-QMAPS

Digital geological mapping has experienced significant growth over the past three decades due to the advent of commercial geographical information systems, advances in global positioning systems, and the availability of portable hand-held devices, such as mobile personal computers (PCs), smartphones, and tablets. Numerous software packages have been developed to collect, combine, organise, visu…

PixelSWAT: A user-friendly ArcGIS tool for preparing inputs to run SWAT in a …

This paper documents the development of PixelSWAT, a Graphical User interface (GUI) python toolbox developed with the motive of creating gridded watershed and stream features to run the Soil and Water Assessment Tool (SWAT) in a distributed discretization scheme thus allowing optimum utilization of gridded weather datasets. Additionally, the tool also aims to automate the preparation of SWAT we…

Flood susceptibility mapping: Integrating machine learning and GIS for enhanc…

Flooding presents a formidable challenge in the United States, endangering lives and causing substantial economic damage, averaging around $5 billion annually. Addressing this issue and improving community resilience is imperative. This project employed machine learning techniques and publicly available data to explore the factors influencing flooding and to develop flood susceptibility maps at…

Point cloud registration for LiDAR and photogrammetric data: A critical synth…

Three-dimensional (3D) point cloud registration is a fundamental step for many 3D modeling and mapping applications. Existing approaches are highly disparate in the data source, scene complexity, and application, therefore the current practices in various point cloud registration tasks are still ad-hoc processes. Recent advances in computer vision and deep learning have shown promising performa…

Point cloud registration for LiDAR and photogrammetric data: A critical synth…

Three-dimensional (3D) point cloud registration is a fundamental step for many 3D modeling and mapping applications. Existing approaches are highly disparate in the data source, scene complexity, and application, therefore the current practices in various point cloud registration tasks are still ad-hoc processes. Recent advances in computer vision and deep learning have shown promising performa…

Rencana strategis: pengelolaan wilayah pesisir Propinsi Gorontalo

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ISBN/ISSN

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Deskripsi Fisik

xiv, 82 hlm. : illus.

Judul Seri

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No. Panggil

333.9164 Fad R

Efficient coarse registration method using translation- and rotation-invarian…

In this paper, we present a simple, efficient, and robust algorithm for 2D coarse registration of two point clouds. In the proposed algorithm, the locations of some distinct objects are detected from the point cloud data, and a rotation- and translation-invariant feature descriptor vector is computed for each of the detected objects based on the relative locations of the neighboring objects. Su…

GIS for decision support and public policy making

Edisi

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ISBN/ISSN

978-1-58948-231-9

Deskripsi Fisik

xiv, 188 hlm. : illus. ; 23 cm.

Judul Seri

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No. Panggil

910.285 CHR g