Magda Matias

ORCID: 0000-0003-0875-8011
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Flood Risk Assessment and Management
  • Landslides and related hazards
  • Hydrology and Watershed Management Studies
  • Remote Sensing and LiDAR Applications
  • Cryospheric studies and observations
  • Soil erosion and sediment transport
  • Soil Geostatistics and Mapping
  • Hydrology and Sediment Transport Processes
  • Horticultural and Viticultural Research
  • Hydraulic flow and structures
  • Synthetic Aperture Radar (SAR) Applications and Techniques
  • Disaster Management and Resilience
  • Soil Moisture and Remote Sensing

University of Lisbon
2011-2021

Instituto Superior Técnico
2011-2016

Bureau de Recherches Géologiques et Minières
2011

Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento
2011

Abstract. A method for semiautomated landslide detection and mapping, with the ability to separate source run-out areas, is presented in this paper. It combines object-based image analysis a support vector machine classifier tested using GeoEye-1 multispectral image, sensed 3 days after major damaging event that occurred on Madeira Island (20 February 2010), pre-event lidar digital terrain model. The testing developed 15 km2 wide study area, where 95 % of number landslides scars are detected...

10.5194/nhess-16-1035-2016 article EN cc-by Natural hazards and earth system sciences 2016-04-26

Abstract. On 20 February 2010, an extreme rainfall episode occurred on Madeira Island, which caused exceptionally strong flash flood and several soil slip-debris flows, producing 45 confirmed deaths 6 persons declared missing, as well extensive material damages. In order to understand quantify the importance of landsliding in routing sediment through mountainous drainage, such Island's landscape, it was essential perform landslide analysis. This study describes methodology used...

10.5194/nhess-13-709-2013 article EN cc-by Natural hazards and earth system sciences 2013-03-20

Irrigation can be responsible for salt accumulation in the root zone of grapevines when late autumn and winter precipitation is not enough to leach salts from soil upper horizons, turning unsuitable grape production. The aim this work present a novel methodology outline areas, within drip-irrigated vineyard, with low moisture content (SMC) during, after, an 11-month agricultural drought. Soil (SM) field measurements were performed two plots at followed by geostatistical method (indicator...

10.17221/101/2019-swr article EN cc-by-nc Soil and Water Research 2020-12-17

Recent techniques for acquiring elevation, such as the advanced synthetic aperture radar (SAR) interferometric techniques, enable creation of very detailed models in a short time. However, because its incapacity to penetrate water, collection bathymetric information water-covered areas must be performed with other techniques. Thus, data compatibility is key factor two-dimensional (2D) hydrodynamic simulations single elevation model required general. Such operation often challenging, it not...

10.1061/(asce)su.1943-5428.0000192 article EN Journal of Surveying Engineering 2016-05-04

The extreme rainfall event of February 20 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">th</sup> , 2010 triggered a series landslides and alluvium episodes with extensive life material damages. use automatic detection the over satellite imagery allowed identification characterization affected areas, mapping landslide features calculation displaced sediment volume. study shows that occurred were shallow, being basins Ribeira Brava most almost...

10.1109/igarss.2011.6049520 article EN 2011-07-01

In this work we develop and compare three different supervised approaches for semi-automatic mapping of landslides, including the separation landslide source transport areas, using a single GeoEye-1 image acquired after rainfall-induced event in Madeira Island. The methodologies cover object-based classification support vector machine (SVM) algorithms; pixel-based textons; with rule-set framework. assessment was made by comparison results obtained validation areas ground-truth mapping. what...

10.1109/igarss.2015.7325898 article EN 2015-07-01

Abstract. A method for semi-automatic landslide detection, with the ability to separate source and run-out areas, is presented in this paper. It combines object-based image analysis a Support Vector Machine classifier on GeoEye-1 multispectral image, sensed 3 days after major damaging event that occurred Madeira island (20 February 2010), pre-event LIDAR Digital Elevation Model. The testing developed 15 km2-wide study area, where 95 % of landslides scars are detected by supervised approach....

10.5194/nhessd-3-5633-2015 preprint EN cc-by 2015-09-23

Araújo, M.A.V.C.; Pestana, R.; Matias, M.; Roque, D.; Trigo-Teixeira, A., and Heleno, S., 2016. Using simplified bathymetry SAR imagery in the validation of a hydraulic model for Tagus River floodplain. In: Vila-Concejo, A.; Bruce, E.; Kennedy, D.M., McCarroll, R.J. (eds.), Proceedings 14th International Coastal Symposium (Sydney, Australia). Journal Research, Special Issue, No. 75, pp. 13 - 17. Coconut Creek (Florida), ISSN 0749-0208.This work presents several approaches hydrodynamic Tuflow...

10.2112/si75-003.1 article EN Journal of Coastal Research 2016-03-03

&amp;lt;p&amp;gt;Vineyards are crops whose production has a major economic impact in the Portuguese economy (~750 million euros) being exported worldwide. As climate models project larger variability precipitation regime, water requirements of vineyards can change and drip irrigation be responsible for salt accumulation root zone, especially when late autumn winter is not enough to leach salts from soil upper horizons, turning unsuitable grape...

10.5194/egusphere-egu21-16507 article EN 2021-03-04
Coming Soon ...