Nome |
# |
Earthquake damage assessment based on remote sensing data. The Haiti case study, file e384c42e-0cca-d4b2-e053-9f05fe0a1d67
|
903
|
EARLY IMPACT PROCEDURES FOR FLOOD EVENTSFEBRUARY 2007 MOZAMBIQUE FLOOD, file e384c42e-0245-d4b2-e053-9f05fe0a1d67
|
707
|
UAV Deployment Exercise for Mapping Purposes: Evaluation of Emergency Response Applications, file e384c42d-9354-d4b2-e053-9f05fe0a1d67
|
396
|
Rapid Mapping: geomatics role and research opportunities, file e384c42e-3c6a-d4b2-e053-9f05fe0a1d67
|
353
|
Mobile mapping for disaster relief, file e384c42e-1ab0-d4b2-e053-9f05fe0a1d67
|
139
|
Burnt area mapping at provincial level using sentinel imagery, file e384c430-8fe2-d4b2-e053-9f05fe0a1d67
|
100
|
Uav direct georeferencing approach in an emergency mapping context. the 2016 central Italy earthquake case study, file e384c430-ef96-d4b2-e053-9f05fe0a1d67
|
89
|
THERMAL AND OPTICAL DATA FUSION SUPPORTING BUILT HERITAGE ANALYSES, file e384c432-478f-d4b2-e053-9f05fe0a1d67
|
61
|
Mappatura speditiva dei danni da immagini satellitari a supporto della risposta all’emergenza, file e384c432-48a3-d4b2-e053-9f05fe0a1d67
|
61
|
3D Thermal Mapping of Architectural Heritage, file e384c433-bfe2-d4b2-e053-9f05fe0a1d67
|
58
|
3D GLACIER MAPPING BY MEANS OF SATELLITE STEREO IMAGES: THE BELVEDERE GLACIER CASE STUDY IN THE ITALIAN ALPS, file e384c432-775e-d4b2-e053-9f05fe0a1d67
|
55
|
Boosting the timeliness of UAV large scale mapping. Direct georeferencing approaches: operational strategies and best practices, file e384c432-5357-d4b2-e053-9f05fe0a1d67
|
53
|
Apple iPad Pro: test e valutazioni metriche sul sensore LiDAR integrato, file e384c434-0040-d4b2-e053-9f05fe0a1d67
|
52
|
Building damage assessment scale tailored to remote sensing vertical imagery, file e384c430-48bf-d4b2-e053-9f05fe0a1d67
|
51
|
Tsunami Modeling and Satellite-Based Emergency Mapping: Workflow Integration Opportunities, file e384c430-d070-d4b2-e053-9f05fe0a1d67
|
51
|
ARE MEASURED GROUND CONTROL POINTS STILL REQUIRED IN UAV BASED LARGE SCALE MAPPING? ASSESSING THE POSITIONAL ACCURACY OF AN RTK MULTI-ROTOR PLATFORM, file e384c432-56ef-d4b2-e053-9f05fe0a1d67
|
48
|
Structural Building Damage Detection with Deep Learning: Assessment of a State-of-the-Art CNN in Operational Conditions, file e384c431-52ad-d4b2-e053-9f05fe0a1d67
|
46
|
UAV PHOTOGRAMMETRY AND VHR SATELLITE IMAGERY FOR EMERGENCY MAPPING. THE OCTOBER 2020 FLOOD IN LIMONE PIEMONTE (ITALY), file e384c433-da32-d4b2-e053-9f05fe0a1d67
|
39
|
Documentation of Complex Environments Using 360° Cameras. The Santa Marta Belltower in Montanaro, file e384c434-586f-d4b2-e053-9f05fe0a1d67
|
38
|
Satellite SAR interferometric techniques in support to emergency mapping, file e384c430-9b6a-d4b2-e053-9f05fe0a1d67
|
37
|
Updating a road network dataset exploiting the results of semantic segmentation techniques applied to street-level imagery, file e384c430-ef97-d4b2-e053-9f05fe0a1d67
|
36
|
THE IPAD PRO BUILT-IN LIDAR SENSOR: 3D RAPID MAPPING TESTS AND QUALITY ASSESSMENT, file e384c433-ac12-d4b2-e053-9f05fe0a1d67
|
36
|
Satellite Image Segmentation with Deep Residual Architectures for Time-Critical Applications, file e384c430-78c0-d4b2-e053-9f05fe0a1d67
|
34
|
Floodplain Settlement Dynamics in the Maouri Dallol at Guéchémé, Niger: A Multidisciplinary Approach, file e384c432-69ca-d4b2-e053-9f05fe0a1d67
|
34
|
Tecniche di navigazione assistita per l’utilizzo fotogrammetrico di uav (unmanned aerial vehicle), file e384c42e-009b-d4b2-e053-9f05fe0a1d67
|
23
|
New tecnologies for mobile mapping, file e384c433-c5a5-d4b2-e053-9f05fe0a1d67
|
23
|
Apple LiDAR Sensor for 3D Surveying: Tests and Results in the Cultural Heritage Domain, file e7cd9930-7d1e-4bd1-b337-43e713d110e0
|
20
|
Multi-platform, Multi-scale and Multi-temporal 4D Glacier Monitoring. The Rutor Glacier Case Study, file fa2e67f6-4549-4ea8-9776-2dc671fb0ecc
|
18
|
NEW DEVELOPMENTS IN LIDAR UAS SURVEYS. PERFORMANCE ANALYSES AND VALIDATION OF THE DJI ZENMUSE L1, file e384c434-e5bb-d4b2-e053-9f05fe0a1d67
|
15
|
SFM-based 3D reconstruction of heritage assets using UAV thermal images, file e384c434-d3a3-d4b2-e053-9f05fe0a1d67
|
9
|
A low cost mobile mapping system (LCMMS) for field data acquisition: a potential use to validate aerial/satellite building damage assessment, file e384c42e-118f-d4b2-e053-9f05fe0a1d67
|
6
|
Global trends in satellite-based emergency mapping, file e384c432-1f93-d4b2-e053-9f05fe0a1d67
|
6
|
Orthorectification of high resolution satellite images, file e384c42d-ee88-d4b2-e053-9f05fe0a1d67
|
5
|
Crime Scene Reconstruction Using a Fully Geomatic Approach., file e384c42d-fcf7-d4b2-e053-9f05fe0a1d67
|
5
|
LST-R: A method for assessing land surface temperature reduction in urban, hot and semi-arid Global South, file 0d13a091-ea10-4331-9bdc-16883a3bb075
|
4
|
Remote-sensing techniques for natural disaster impact assessment, file e384c42e-285c-d4b2-e053-9f05fe0a1d67
|
4
|
Picture Pile: A citizen-powered tool for rapid post-disaster damage assessments, file e384c434-7618-d4b2-e053-9f05fe0a1d67
|
4
|
Burnt areas semantic segmentation from Sentinel data using the U-Net network trained with semi-automated annotations, file d5ead9f4-463b-4295-bda9-5a8139d6dde7
|
3
|
Response to Flood Events: The Role of Satellite-based Emergency Mapping and the Experience of the Copernicus Emergency Management Service, file e384c430-871b-d4b2-e053-9f05fe0a1d67
|
3
|
Generazione di DSM da immagini satellitari stereoscopiche: primi risultati e validazioni, file e384c42d-e709-d4b2-e053-9f05fe0a1d67
|
2
|
ITHACA: a new approach for disaster management, file e384c42d-fa42-d4b2-e053-9f05fe0a1d67
|
2
|
Natural disaster management: activities in support of the UN system, file e384c42e-00b6-d4b2-e053-9f05fe0a1d67
|
2
|
Low cost UAV for post-disaster assessment, file e384c42e-00b7-d4b2-e053-9f05fe0a1d67
|
2
|
3D Thermal Mapping of Architectural Heritage, file e384c433-c56c-d4b2-e053-9f05fe0a1d67
|
2
|
DIGITAL REPLICAS OF BRITISH MUSEUM ARTEFACTS, file cecfdaa1-96ce-41a9-8bfa-82171e0b18c9
|
1
|
Introduction, file e384c42d-e48a-d4b2-e053-9f05fe0a1d67
|
1
|
Valutazione di DSM derivati da immagini satellitari stereoscopiche mediante software commerciali, file e384c42d-ee8a-d4b2-e053-9f05fe0a1d67
|
1
|
High Resolution satellite images position accuracy tests, file e384c42d-ee8c-d4b2-e053-9f05fe0a1d67
|
1
|
DTMs Generation from Satellite Stereo Images: Accuracy Tests in Mountain Region, file e384c42d-ee8f-d4b2-e053-9f05fe0a1d67
|
1
|
Urban areas classification tests using High Resolution Pan-Sharpened satellite images, file e384c42d-f940-d4b2-e053-9f05fe0a1d67
|
1
|
Expediting emergency response, file e384c42e-1f54-d4b2-e053-9f05fe0a1d67
|
1
|
A global dataset of carbon pumping by the world’s largest tropical rivers, file fe9455b0-73ae-46b2-92d7-a4b160c328db
|
1
|
Totale |
3.643 |