Results 61 to 70 of about 70,330 (312)

Use of TanDEM-X and Sentinel Products to Derive Gully Activity Maps in Kunene Region (Namibia) Based on Automatic Iterative Random Forest Approach

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Gullies are landforms with specific patterns of shape, topography, hydrology, vegetation, and soil characteristics. Remote sensing products (TanDEM-X, Sentinel-1, and Sentinel-2) serve as inputs into an iterative algorithm, initialized using a micro ...
Miguel Vallejo Orti, Lukas Winiwarter, Eva Corral-Pazos-de-Provens, Jack G. Williams, Olaf Bubenzer, Bernhard Hofle   +5 more
doaj   +1 more source

National and International Monitoring of Student Literacy and Numeracy Attainment: The Case for Rigorous Macro and Micro Analysis

Australian Journal of Social Issues, EarlyView.
ABSTRACT In her 2024 paper Are Australian students' academic skills declining? Interrogating 25 years of national and international standardised assessment data, Larsen compiled an impressive summary of major international (PISA, PIRLS and TIMSS) and national (NAPLAN) standardised assessments pertaining to literacy and numeracy.
Pamela C. Snow, Tanya A. Serry, Jennifer Buckingham, Lorraine S. Hammond, Stephen Dinham, Eamon Charles, Tessa A. Weadman, Nathanial R. Swain, Susan Hiland, Tessa Daffern   +9 more
wiley   +1 more source

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

Identification of Road Network Intersection Types from Vehicle Telemetry Data Using a Convolutional Neural Network

ISPRS International Journal of Geo-Information, 2022
GPS trajectories collected from automotive telematics for insurance purposes go beyond being a collection of points on the map. They are in fact a powerful data source that we can use to extract map and road network properties. While the location of road
Abdelmajid Erramaline, Thierry Badard, Marie-Pier Côté, Thierry Duchesne, Olivier Mercier   +4 more
doaj   +1 more source

Spatial and temporal contrasts in the distribution of crops and pastures across Amazonia: A new agricultural land use data set from census data since 1950: Crops and pastures across Amazonia

, 2020
Amazonia holds the largest continuous area of tropical forests with intense land use change dynamics inducing water, carbon, and energy feedbacks with regional and global impacts. Much of our knowledge of land use change in Amazonia comes from studies of
Imbach Bartol, Pablo Andres, Manrow, M, Barretto, Alberto G O P, Barona Adarve, Elizabeth, Hyman, Glenn Graham   +4 more
core   +1 more source

Technology Transfer to Underwater Archaeology: The LAHKE Project at the Submerged Neolithic Site of La Marmotta

Archaeological Prospection, EarlyView.
ABSTRACT This document is a report on the field application of non‐invasive geophysical and robotic prospecting methods at the submerged Neolithic site of La Marmotta (Lake Bracciano, Italy), within the LAHKE (LAke Heritage Knowledge and Exploration) project; the study focuses on the practical validation, adaptation and transfer of existing ...
dell' Erba Ramiro, Cupertino Giacomo, Cipollini Angelo, Luciano Blasi, Quattrucci Luca   +4 more
wiley   +1 more source

Inferring building functions from a weighted graph isomorphic network based on the building-POI graph

Geo-spatial Information Science
Building function is the practical use of a structure, playing a crucial role in urban planning and risk management. However, prevailing studies utilizing graph neural networks (GNNs) often regard building function inference as a node classification task,
Zhang Ya, Jiping Liu, Wang Yong, Luo An, Shenghua Xu, Zhiran Zhang   +5 more
doaj   +1 more source

Late‐Onset Rheumatoid Arthritis and Air Pollution in the Multiethnic Cohort

Arthritis &Rheumatology, EarlyView.
Objective To evaluate the effects of ambient air pollution on rheumatoid arthritis (RA) incidence in a racially and ethnically diverse population. Methods This analysis included 42,152 California Multiethnic Cohort participants, aged ≥65 years (>70% African American and Latino adults) who were enrolled in the Fee For Service component of Medicare (2001–
Anna H. Wu, Chiuchen Tseng, Song‐Yi Park, Daniel O. Stram, Kami White, Jun Wu, Cheryl Vigen, Veronica W. Setiawan, Xian Yu, Steven Gazal, Christopher Haiman, Lynne Wilkens, Loïc Le Marchand, Iona Cheng, William Stohl   +14 more
wiley   +1 more source

Using PlanetScope-derived time-series elevation models and orthophotos to track glacier 3D dynamics in mid-latitude mountain regions

GIScience & Remote Sensing
Assessing glacier surface height changes provides crucial insights into glacier mass loss and the impact of climate variability. Remote sensing images play a vital role in providing data points for monitoring.
Shengxi Gui, Rongjun Qin
doaj   +1 more source

Geospatial Data for Analyzing the Human-Elephant Conflicts in Coimbatore Forest Division, India

, 2019
This geospatial dataset consists of raw Landsat (satellite) imagery, derived land cover products from satellite data, and verification data used for assessing the accuracy of the land cover products. All data were projected to: WGS 1984 UTM Zone 24 North
Reed, Nicole
core   +1 more source