Results 41 to 50 of about 21,753 (262)

Deep learning methods applied to digital elevation models: state of the art

Geocarto International, 2023
Deep Learning (DL) has a wide variety of applications in various thematic domains, including spatial information. Although with limitations, it is also starting to be considered in operations related to Digital Elevation Models (DEMs). This study aims to
Juan J. Ruiz-Lendínez, Francisco J. Ariza-López, Juan F. Reinoso-Gordo, Manuel A. Ureña-Cámara, Francisco J. Quesada-Real   +4 more
doaj   +1 more source

Geo-environmental mapping using physiographic analysis: constraints on the evaluation of land instability and groundwater pollution hazards in the Metropolitan District of Campinas, Brazil [PDF]

, 2010
Geo-environmental terrain assessments and territorial zoning are useful tools for the formulation and implementation of environmental management instruments (including policy-making, planning, and enforcement of statutory regulations).
A Cendrero, A Finlayson, A-X Zhu, A-X Zhu, AD Howard, AJ Fernandes, AJ Fernandes, Amelia Joao Fernandes, Claudio Jose Ferreira, CW Mitchell, EAC Abella, FA Akiwumi, FF Sabins Jr, G Câmara, G Câmara, H Schmidt, H Tamura, HTh Verstappen, ID Moore, John Canning Cripps, JSY Wang, LT Aller, LV Zuquette, Maria Jose Brollo, MR Bennett, Paulo Cesar Fernandes-da-Silva, PC Fernandes Da Silva, PC Fernandes Da Silva, PC Soares, R Latifovic, Ricardo Vedovello, RJ Pine, S Sahay, SE Hill, SF Thornton, T Harris, T Lillesand, TE Beaumont, X Shi, Z Nedovic-Budic   +39 more
core   +1 more source

Artificial Intelligence in Autonomous Mobile Robot Navigation: From Classical Approaches to Intelligent Adaptation

Advanced Intelligent Systems, EarlyView.
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella, Angelo Cardellicchio, Cosimo Patruno, Massimiliano Nitti, Nicola Pedrocchi, Vito Renò   +5 more
wiley   +1 more source

A transformer-based landform mapping method combining topographic knowledge and digital elevation data

International Journal of Applied Earth Observations and Geoinformation
Deep learning (DL) methods have emerged as potential tools for automated landform mapping. However, current approaches frequently overlook critical topographic features and prior topographic knowledge, which are essential for accurate landform ...
Hongen Wang, Liyang Xiong, Haoyu Cao, Fei Zhao, Fengyize Yu, Hong Wei, Guoan Tang, Stuart N. Lane   +7 more
doaj   +1 more source

Sitting in Many Camps—Innovative Approaches and Methods for First Nations‐Led Research Into Indigenous Peacebuilding

Australian Journal of Social Issues, EarlyView.
ABSTRACT In 2021, a desktop review was conducted of published references to First Nations peoples' approaches to conflict and its management in Australia (Project Stage One), culminating in a report published in 2024. This article focuses on Project Stage Two, a complex, innovative research undertaking building on the findings of Stage One, and being ...
Helen Bishop, Alysoun Boyle, Tania Sourdin, Bin Li   +3 more
wiley   +1 more source

MORFOLOGI DAN KLASIFIKASI TANAH PADA BERBAGAI MACAM SUB-LANDFORM KARST DI FORMASI WONOSARI KECAMATAN GEDANGAN, KABUPATEN MALANG

JTSL (Jurnal Tanah dan Sumberdaya Lahan), 2019
Limestone materials in Wonosari formation produces karst landform through the karstification processes. The different type of karst landform can affect soil morphology and soil classification.
Andre E S Sitinjak, Mochtar Lutfi Rayes, Christanti Agustina   +2 more
doaj   +1 more source

Research progress and prospect of karst geomorphology in China based on digital elevation model

Carsologica Sinica, 2022
Digital elevation model (DEM) contains rich morphological information because the process of digital terrain modeling and extracting a series of terrain parameters based on DEM data with various spatial resolutions, known as Digital Terrain Analysis (DTA)
Benteng BI, Chen YANG, Jingwen LI, Jianwu JIANG, Lixin ZHOU   +4 more
doaj   +1 more source

Comparison of Deep Learning approaches in classification of glacial landforms

International Journal of Electronics and Telecommunications
Glacial landforms, created by the continuous movements of glaciers over millennia, are crucial topics in geomorphological research. Their systematic analysis affords invaluable insights into past climatic oscillations and augments understanding of long-term climate change dynamics.
Paweł Nadachowski, Zbigniew Łubniewski, Karolina Trzcińska, Jarosław Tęgowski   +3 more
openaire   +2 more sources

Prospecting of Architectural Features Using LiDAR‐UAV Technology, Deep Neural Networks and Visualization Techniques: A Case Study in Kuélap and Cambolín (NW Peru)

Archaeological Prospection, EarlyView.
ABSTRACT High‐resolution and accurate synoptic images of terrestrial topography, even in densely forested areas, have proven valuable for archaeology by enabling the identification and characterization of relief patterns associated with ancient human activities. This study presents a novel approach that integrates digital terrain models (DTMs) obtained
Jhon A. Zabaleta‐Santisteban, Rolando Salas López, Angel J. Medina‐Medina, Katerin M. Tuesta‐Trauco, Abner S. Rivera‐Fernandez, Nerci M. Noriega‐Salazar, José A. Sánchez‐Vega, Teodoro B. Silva‐Melendez, Marlen A. Grandez‐Alberca, Jhonsy O. Silva‐López, Nilton B. Rojas‐Briceño, Manuel Oliva‐Cruz, Alexander Cotrina‐Sanchez, Elgar Barboza   +13 more
wiley   +1 more source

GEOGRAPHICAL INFORMATION ANALYSIS OF TSUNAMI FLOODED AREA BY THE GREAT EAST JAPAN EARTHQUAKE USING MOBILE MAPPING SYSTEM [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012
The great earthquake occurred in Tohoku District, Japan on 11th March, 2011. This earthquake is named "the 2011 off the Pacific coast of Tohoku Earthquake", and the damage by this earthquake is named "the Great East Japan Earthquake".
M. Koarai, T. Okatani, T. Nakano, T. Nakamura, M. Hasegawa   +4 more
doaj   +1 more source