Carolina González

ORCID: 0000-0002-9340-1887
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About
Contact & Profiles
Research Areas
  • Synthetic Aperture Radar (SAR) Applications and Techniques
  • Cryospheric studies and observations
  • Advanced SAR Imaging Techniques
  • Soil Moisture and Remote Sensing
  • Geophysics and Gravity Measurements
  • Intelligent Tutoring Systems and Adaptive Learning
  • Semantic Web and Ontologies
  • Electronic Health Records Systems
  • AI-based Problem Solving and Planning
  • Remote Sensing and LiDAR Applications
  • Stress and Burnout Research
  • Multi-Agent Systems and Negotiation
  • Service-Oriented Architecture and Web Services
  • Biomedical Text Mining and Ontologies
  • Remote Sensing in Agriculture
  • Aging, Health, and Disability
  • Occupational Health and Safety in Workplaces
  • Satellite Image Processing and Photogrammetry
  • Arctic and Antarctic ice dynamics
  • Quality and Safety in Healthcare
  • Advanced Vision and Imaging
  • Image Processing Techniques and Applications
  • Scientific Computing and Data Management
  • Business Process Modeling and Analysis
  • Data Mining Algorithms and Applications

Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
2016-2025

United States Agency for International Development
2023

Temple University
2023

Bioversity International
2023

Universidad de Los Andes, Chile
2022

Sociedad de Biología de Chile
2022

California State University, Northridge
2022

University of Cauca
2007-2019

Radar (United States)
2017

Deggendorf Institute of Technology
2014-2016

The primary objective of the TanDEM-X mission is generation a global, consistent, and high-resolution digital elevation model (DEM) with unprecedented global accuracy. goal achieved by exploiting interferometric capabilities two twin SAR satellites TerraSAR-X TanDEM-X, which fly in close orbit formation, acting as an X-band single-pass interferometer. Between December 2010 early 2015 all land surfaces have been acquired at least twice, difficult terrain up to seven or eight times....

10.1016/j.isprsjprs.2017.08.008 article EN cc-by ISPRS Journal of Photogrammetry and Remote Sensing 2017-09-13

In this paper we present the activities performed at Microwaves and Radar Institute of German Aerospace Center (DLR) to derive global forest/non-forest classification mosaics from interferometric synthetic aperture radar (InSAR) data acquired by TanDEM-X mission. The have been collected between 2011 2016 in bistatic stripmap single polarization (HH) mode, with main goal generating a consistent, timely, highly accurate 3D representation terrain's surface (digital elevation model, DEM). set...

10.1016/j.rse.2017.12.002 article EN cc-by-nc-nd Remote Sensing of Environment 2017-12-11

The spaceborne mission TanDEM-X successfully acquired and processed a global Digital Elevation Model (DEM) from interferometric bistatic SAR data at X band. product has been delivered in 2016 is characterized by an unprecedented vertical accuracy. It provided 12 m, 30 90 m sampling can be accessed the scientific community via standard announcement of opportunity process submission proposal. version freely available for purposes. DEM unedited, which means that it pure result processing...

10.3390/rs12233961 article EN cc-by Remote Sensing 2020-12-03

Intelligent tutoring systems (ITS) are interactive learning environments based on instruction assisted by computers. The intelligence of these is largely attributed to their ability adapt a specific student during the teaching process. In general, adaptation process can be described three phases: (i) getting information about student, (ii) processing initialize and update model, (iii) using model provide adaptation. this paper we studied aspects related with modeling (SM) in intelligent...

10.1109/fie.2006.322537 article EN 2006-01-01

Abstract Introduction The Uganda Ministry of Health recommends facility‐ and community‐based differentiated antiretroviral therapy (DART) models to support person‐centred care for eligible clients receiving (ART). Healthcare workers assess client eligibility one six DART upon initial enrolment; however, circumstances evolve, their preferences are not routinely adjusted. We developed a tool understand the proportion accessing preferred compared outcomes models. Methods conducted...

10.1002/jia2.26122 article EN cc-by Journal of the International AIDS Society 2023-07-01

Intelligent Tutoring Systems (ITSs) are educational systems that use artificial intelligence techniques for representing the knowledge. ITSs design is often criticized being a complex and challenging process. In this article, we propose framework using Case Based Reasoning (CBR) Multiagent (MAS). The major advantage of CBR to allow intelligent system smart quick solutions problems, even in domains, avoiding time necessary derive those from scratch. agents MAS architectures supports retrieval...

10.14201/adcaij2013244154 article EN cc-by-nc-nd ADCAIJ ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL 2013-05-07

In this paper, we discuss the potential and limitations of high-resolution single-pass interferometric synthetic aperture radar (InSAR) data for forest mapping. particular, present forest/non-forest classification mosaics State Pennsylvania, USA, generated using TanDEM-X at ground resolutions down to 6 m. The investigated set was acquired between 2011 in bistatic stripmap single polarization (HH) mode. Among different factors affecting quality InSAR data, so-called volume correlation factor...

10.3390/rs10091477 article EN cc-by Remote Sensing 2018-09-16

The interferometric synthetic aperture radar (InSAR) data set, acquired by the TanDEM-X (TerraSAR-X add-on for Digital Elevation Measurement) mission (TDM), represents a unique source to derive geo-information products at global scale. complete Earth’s landmasses have been surveyed least twice during bistatic operation, which started end of 2010. Examples delivered are digital elevation model (DEM) (at final independent posting 12 m × m) or Forest/Non-Forest (FNF) map. need reliable water...

10.3390/rs13245069 article EN cc-by Remote Sensing 2021-12-14

Current e-learning systems are still inadequate to support the level of interaction, personalization and engagement demanded by clinicians, care givers, patient themselves. For effective be delivered in health context, collaboration between pedagogy technology is required. Furthermore, should flexible enough adapted students' needs, evaluated regularly, easy use maintain provide feedback, guidelines supporting material different formats. This paper presents implementation an Intelligent...

10.3233/978-1-60750-565-5-89 article EN Studies in health technology and informatics 2010-01-01

Decision-making is a crucial task for decision makers in healthcare, especially because decisions have to be made quickly, accurately and under uncertainty. Taking into account the importance of providing quality decisions, offering assistance this complex process has been one main challenges Artificial Intelligence throughout history. Decision Support Systems (DSS) gained popularity medical field their efficacy assist decision-making. In sense, many DSS developed, but only few them consider...

10.3233/978-1-61499-268-4-44 article EN Studies in health technology and informatics 2013-01-01

In this paper, we perform a frequency up-conversion from 4.5 GHz to 60 of an OFDM signal compliant the IEEE802.15.3c pre-standard (3.03 Gbps) by directly modulating Fabry-Pérot Mode-Locked Laser whose self-pulsating is 54.8 GHz. Improved performance compared external modulation scheme previously reported achieved and comparison with use standard electronic up-converter shows only slight degradation. The direct represents major improvement in terms set-up simplicity improves efficiency...

10.1109/mwp.2008.4666705 preprint EN 2008-09-01

The TanDEM-X synthetic aperture radar (SAR) system allows for the recording of bistatic interferometric SAR (InSAR) acquisitions, which provide additional information to common amplitude images acquired by monostatic systems. More concretely, volume decorrelation factor, can be derived from coherence, is a reliable indicator presence vegetation and it was used as main input feature generation global forest/non-forest map, means clustering algorithm. In this work, we investigate capabilities...

10.3390/rs14163981 article EN cc-by Remote Sensing 2022-08-16

Digital elevation models (DEMs) are extensively used for a variety of scientific and commercial applications. For the global TanDEM-X DEM, one main performance parameters is relative height accuracy, which specified to be under 2 m flat terrain. Land cover types where radar signal penetrates into volume, as forest ice, excluded from this specification. Knowing accuracy DEM specific land type essential applications relying on it, such navigation applications, gradient aspect estimations,...

10.1109/lgrs.2018.2864774 article EN IEEE Geoscience and Remote Sensing Letters 2018-09-12

Digital elevation models (DEMs) are of fundamental importance for a broad range commercial and scientific applications. The relative height accuracy the DEM is one most important quality parameters as it refers to local differences among adjacent values. A direct comparison against reliable reference only possible some single regions where an accurate model similar in resolution already available. DEMs generated from interferometric synthetic aperture radar (InSAR) can be analyzed with...

10.1109/jstars.2015.2474159 article EN IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2015-09-25

TanDEM-X is a single-pass radar interferometric mission, which comprised of two formation flying satellites, with the primary goal generating global Digital Elevation Model (DEM) unprecedented accuracy. Between December 2010 and early 2015 all land surfaces have been acquired at least twice, difficult terrain up to seven or eight times as September 2016 final DEM dataset available for download. This paper provides quality assessment products respect relative absolute height accuracy data...

10.1109/igarss.2017.8127898 article EN 2017-07-01

Abstract Using a double-hurdle approach, we assess factors associated with the extent of participation in rice market data for small-scale farmers drawn from nationally representative dataset. The results suggest that larger endowments and assets, animal farming commercialization, alternative off-farm income make less likely to participate. Conversely, having access credit, farm sizes, being part farmers’ association all increase likelihood participation. Farms better technological resources...

10.1017/aae.2023.25 article EN cc-by-nc-nd Journal of Agricultural and Applied Economics 2023-08-01
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