Results 81 to 90 of about 24,856,246 (227)

Characteristics and Classification of Topological Spatial Relations in 3-D Cadasters

open access: yesInformation, 2018
The application of a 3-D topology to cadasters is becoming increasingly important as 3-D cadasters continue to develop and cadastral data applications increase.
Lili Fu   +5 more
doaj   +1 more source

80 Years of Coastal Erosion and Accretion in Aotearoa New Zealand

open access: yesNew Zealand Journal of Marine and Freshwater Research, Volume 60, Issue 4, December 2026.
Understanding historical coastal change over multi‐decadal timescales is fundamental for coastal hazard assessment and adaptation planning. In Aotearoa New Zealand (NZ), national‐scale coastal change information has historically been fragmented, limited in spatial resolution or constrained to relatively short timeframes.
Emma Ryan   +4 more
wiley   +1 more source

Integration of Geospatial Data into the Cadastre System

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Abstract. Remote sensing serves as a fundamental tool for the creation and regular updating of cadastral maps. In the era of digital technologies, the integration of data obtained from unmanned aerial vehicles (UAVs), satellites, and multispectral sensors significantly enhances the precision and efficiency of cadastral activities.
Allanazarov, Olimjon   +3 more
openaire   +1 more source

Cadastral reform of indigenous land information and environmental sustainability in New Zealand [PDF]

open access: yes, 1997
New Zealand’s cadastral system has come under scrutiny in recent years, A sharp rise in the number of land claims by the country’s indigenous Maori, accompanied by historic environmental legislation, have prompted milk for cadastral reform.
Morad, Munir, Jay, Grace Mairi M.
core  

The Price of Cool: Using Hedonic Modelling to Assess Spatial Inequalities of Air Conditioning Access in Madrid

open access: yesThe Geographical Journal, Volume 192, Issue 4, December 2026.
Short Abstract Using a large data set of residential property listings in Madrid, this study identifies significant spatial inequalities in access to air‐conditioned housing. It shows that access to this increasingly important cooling amenity is unequally distributed, with lower income and more vulnerable neighbourhoods facing both lower availability ...
Gladys Elizabeth Kenyon   +3 more
wiley   +1 more source

CADASTRAL REGISTRATION OF REAL PROPERTY WITH DATA DIGITALIZATION

open access: yesUkrainian Journal of Civil Engineering and Architecture, 2021
Problem statement. The transition in Ukraine from registration and accounting of land in the State Land Cadastre to registration and accounting of real estate in the multi-purpose cadastre requires research aimed at optimizing the information of the multi-purpose cadastre and the form of data representation based on their digitalization to limit the ...
openaire   +2 more sources

Geode Rural Cadastral 2010

open access: yes, 2010
Cadastral data for rural ...
AltaLIS
core  

Originais do levantamento topográfico cadastral: possibilidade de sua utilização para a garantia dos limites geométricos dos bens imóveis / [PDF]

open access: yes, 2000
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico.O presente trabalho objetiva estabelecer fundamentos metodológicos para a confecção dos originais de levantamento topográfico cadastral, condição para que estes possam ...
Hasenack, Markus
core  

A principles-based approach to cadastral reinstatement for Australian jurisdictions [PDF]

open access: yes, 2011
Cadastral reinstatement is the process whereby a cadastral surveyor re-establishes and describes the position of boundaries created by earlier actions. Previous boundary reinstatement cases are examined and the principles on which the courts made their ...
Campbell, G., G. Campbell
core   +1 more source

A Machine Learning Framework for Flood Risk Assessment With Imbalanced Data

open access: yesJournal of Flood Risk Management, Volume 19, Issue 4, December 2026.
ABSTRACT This study presents a machine‐learning framework for identifying areas of elevated flood risk using imbalanced, high‐dimensional geospatial datasets. Using the Mandra River Basin in Greece as a case study, an extreme gradient boosting (XGBoost) classifier was trained on 11 flood‐related features including hydrological, meteorological, soil and
Alexia Tsouni   +7 more
wiley   +1 more source

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