Results 71 to 80 of about 313 (137)

Landslide mapping based on a hybrid CNN-transformer network and deep transfer learning using remote sensing images with topographic and spectral features

open access: yesInternational Journal of Applied Earth Observations and Geoinformation
Landslides frequently cause serious property damage and casualties. Therefore, it is crucial to have rapid and accurate landslide mapping (LM) to support post-earthquake landslide damage assessment and emergency rescue efforts.
Lei Wu   +6 more
doaj   +1 more source

Topographical dynamics based on global and UAV-SfM derived DEM products: a case study of transboundary Teesta River, Bangladesh

open access: yes
Topographical changes in riverine floodplains need to be measured for assessing geomorphological dynamics and protecting floodplain areas, although topographic evaluation in disaster-prone floodplain in South Asia has been limited due to the lack of ...
Faisal, B. M. Refat, Hayakawa, Yuichi S.
core   +1 more source

Influence of Different DEMs Obtained by Remote Sensing on 1D/2D Hydrodynamic Flood Modelling in Urban Riparian Areas

open access: yes
Digital Elevation Models (DEMs) are important for accurate flood simulations, but how different DEM sources affect small-scale urban flood modelling remains poorly understood This study evaluated the influence of three global, open access Digital ...
Guilherme Reis   +3 more
core   +1 more source

Comparative Analysis of Machine-Learning Models for Soil Moisture Estimation Using High-Resolution Remote-Sensing Data

open access: yesLand
Soil moisture is an important component of the hydrologic cycle and ecosystem functioning, and it has a significant impact on agricultural production, climate change and natural disasters.
Ming Li, Yueguan Yan
doaj   +1 more source

Accuracy assessment of open DTM and DSM products in urban environments

open access: yesGeo-spatial Information Science
The digital terrain model (DTM) and digital surface model (DSM) are fundamental data used in many geospatial applications. There are several global open DTM and DSM products.
Jing Liu   +5 more
doaj   +1 more source

Global Flood Vulnerability Model: Building-Level Assessment Using Multi-Source Remote Sensing

open access: yesRemote Sensing
Remote sensing enables building-level flood vulnerability assessment without field surveys, yet existing approaches require site-specific calibration or produce categorical outputs without physical interpretability.
Sakiru Olarewaju Olagunju   +5 more
doaj   +1 more source

MODELO DIGITAL DE ELEVAÇÃO A PARTIR DE DADOS DE GNSS RTK NA PLANÍCIE DE INUNDAÇÃO DO RIO PIRATINI EM PEDRO OSÓRIO E CERRITO

open access: yesBoletim Geográfico do Rio Grande do Sul
Este estudo apresenta o desenvolvimento de um Modelo Digital de Elevação (MDE) de alta precisão para a planície de inundação do rio Piratini, abrangendo as áreas urbanas dos municípios de Pedro Osório e Cerrito (RS).
Eduardo Luceiro Santana   +4 more
doaj   +2 more sources

Unmasking spatio-temporal variability of the kerguelen archipelago: radiometric landscapes as new proxies

open access: yesGIScience & Remote Sensing
This study conducts the first regional mapping exercise of landscape dynamics of the Kerguelen Archipelago; a remote sub-Antarctic archipelago located in the southern Indian Ocean.
Louise Lemettais   +9 more
doaj   +1 more source

On the relationship between maximum tree height, elevation and climate in European mountain ranges [DATASETS]

open access: yes
<p><span>The dataset associated with this paper comprises GEDI 2A data collected from 2019/05/01 to 2020/09/03, along with ancillary data (NASADEM & WorldClim) at the footprint level.
Ameztegui, Aitor   +4 more
core   +1 more source

METODOLOGIA PARA PRÉ-PROCESSAMENTO DE MODELOS DIGITAIS DE ELEVAÇÃO [PDF]

open access: yes
The dissemination of altimetric data, through Digital Elevation Models (DEM), allowed the advancement of several scientific areas, more specifically Geomorphometry. However, the DEM may present noises, compromising the final results.
Lima Silva, Sonia Maria   +2 more
core   +1 more source

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