Results 71 to 80 of about 2,060 (217)
GPR Technique and Data for Achievement 4D Cadaster
Bulletin of the Transilvania University of Brasov. Series I - Engineering Sciences, 2022 This article proposes to strengthen the connection of data about constructions made underground and what is built above ground for the development of the concept of multidimensional GIS. We emphasize here the importance and need to use GPR (Ground Penetrating Radar) systems for the fast and accurate acquisition of information about underground utility ...
openaire +1 more source
The recognition gap: land governance and the pre‐hazard production of disaster risk in South Africa
Disasters, Volume 51, Issue 1, January 2027.Abstract Disaster risk can be produced through governance processes that operate before hazards occur. The role of land tenure recognition in them remains undertheorised. This study examines how uneven institutional translation of tenure recognition may shape pre‐hazard disaster risk in legally plural settings.
David Lefutso
wiley +1 more source
80 Years of Coastal Erosion and Accretion in Aotearoa New Zealand
New 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
The 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
KemptenCity - Semantic Segmentation of Urban Areas for Simulation [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information SciencesAutonomous driving and traffic flow simulation requires a realistic and accurate representation of the environment. Therefore, this research focuses on the semantic segmentation of aerial images for simulation purposes.
P. Buckel +4 more
doaj +1 more source
A Machine Learning Framework for Flood Risk Assessment With Imbalanced Data
Journal 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
The Limits of Informational Capacity: Evidence from the French Napoleonic Cadaster [PDF]
Informational capacity is widely viewed as a fundamental dimension of state power and a factor of economic development. However, there is little direct evidence on the consequences of historical investments in legibility. I analyze the case of the French
Degrave, Anne-Françoise
core
Planning, construction and experimental tuning of an urban railway noise cadaster
, 2003 In the last 20 years the increasing public sensibility for the urban noise, the relevance of the transport noise sources and the complexity of their interaction have pushed on the research in this sector.
Marco Presta, Stefano Ricci
core +1 more source
Rethinking Potential Flood Damage Assessment: A Data‐Driven Alternative to Varnes‐Based Models
Journal of Flood Risk Management, Volume 19, Issue 4, December 2026.ABSTRACT Reducing flood damage is a key challenge for both administrators and communities, particularly in the face of increasing climate‐related impacts. A fundamental prerequisite for effective damage reduction is a detailed understanding of the spatial distribution of territorial susceptibility to flood damage.
Federica Zambrini +4 more
wiley +1 more source
Noisy Supervision for Correcting Misaligned Cadaster Maps Without Perfect Ground Truth Data [PDF]
, 2019 International audienceIn machine learning the best performance on a certain task is achieved by fully supervised methods when perfect ground truth labels are available.
Charpiat, Guillaume +5 more
core +1 more source