Susana Martín-Fernández

ORCID: 0000-0002-7240-1650
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About
Contact & Profiles
Research Areas
  • Forest ecology and management
  • Remote Sensing and LiDAR Applications
  • Forest Management and Policy
  • Regional Development and Innovation
  • Forest Ecology and Biodiversity Studies
  • Forest Biomass Utilization and Management
  • Economic and Environmental Valuation
  • Remote Sensing in Agriculture
  • Cooperative Studies and Economics
  • Land Use and Ecosystem Services
  • Rural development and sustainability
  • Fire effects on ecosystems
  • Ecology and Vegetation Dynamics Studies
  • Environmental and Ecological Studies
  • Conservation, Biodiversity, and Resource Management
  • Agricultural and Food Production Studies
  • Sustainable Agricultural Systems Analysis
  • Flood Risk Assessment and Management
  • Mycorrhizal Fungi and Plant Interactions
  • Education and Art Integration
  • Historical and socio-economic studies of Spain and related regions
  • Organic Food and Agriculture
  • 3D Surveying and Cultural Heritage
  • Latin American rural development
  • Higher Education Learning Practices

Saint Mary's University
2025

Universidad Politécnica de Madrid
2013-2024

Universidade de Sorocaba
2016

As technology becomes increasingly prevalent in education, artificial intelligence (AI) tools like Chat Generative Pre-Trained Transformer (ChatGPT) have emerged as significant resources academic settings. In this context, parents and educators play a crucial role ensuring students effectively use these while maintaining high motivation success. To explore relationship, study employed descriptive-comparative-correlational design to assess the level of learning motivation, perceived impact...

10.70838/pemj.340206 article EN publisher-specific-oa 2025-03-23

The mean and standard deviation (SD) of light detection ranging (LiDAR)-derived canopy height are related to forest structure. However, LiDAR data typically cover a limited area have high economic cost compared with satellite optical imagery. Optical images may be required extrapolate measurements across broad landscape. Different spectral indices were obtained from three Landsat scenes. mean, median, SD coefficient variation (CV) calculated in 30-m square blocks corresponding Enhanced...

10.1080/01431160903380656 article EN International Journal of Remote Sensing 2010-03-26

Forest stand structure is an important concept for ecology and planning in sustainable forest management. In this article, we consider that the incorporation of complementary multispectral information from optical sensors to Light Detection Ranging (LiDAR) may be advantageous, especially through data fusion by back-projecting LiDAR points onto image. A multivariate set both metrics was related with a structural variables measured Scots pine canonical correlation analysis (CCA). Four...

10.1080/15481603.2016.1231605 article EN GIScience & Remote Sensing 2016-09-12

The Lorenz curve, as a descriptor of tree size inequality within stand, has been suggested reliable means for characterizing forest structure and distinguishing even from uneven-sized areas. aim this study was to achieve thorough understanding on the relations between airborne laser scanning (ALS) metrics indicators based curve ordering: Gini coefficient (GC) asymmetry (S). Exploratory multivariate analysis carried out using correlation tests, partial least squares (PLS), an...

10.5589/m13-012 article EN Canadian Journal of Remote Sensing 2013-06-07

Abstract The natural harvesting and cultivation of Tuber melanosporum (black truffle Périgord) has spread throughout many countries in recent decades. Other black truffles such as T. aestivum, brumale, mesentericum cause damage to exploitation. These species have been found be very much present the mycorrhizal contamination burns. Nevertheless, different studies unable determine whether aggressiveness its resistance this pressure are qualities environment or soil. Moreover, biological...

10.1080/09064710701743286 article EN Acta Agriculturae Scandinavica Section B - Soil & Plant Science 2008-05-12

This paper introduces a new multipass algorithm for efficiently computing direct illumination in scenes with many lights and complex occlusion. Images are first divided into 8 x pixel blocks each point to be shaded within block, probability density function (PDF) is constructed over the sampled estimate using small number of shadow rays. Information from these samples then aggregated at both block level used optimize PDFs next pass. Over multiple passes estimates updated until convergence....

10.1109/tvcg.2006.41 article EN IEEE Transactions on Visualization and Computer Graphics 2006-03-22

Monitoring of land use, land-use changes, and forestry (LULUCF) plays a crucial role in biodiversity global environmental challenges. In 2015, the Food Agriculture Organization United Nations (FAO) launched Global Forest Survey (GFS) integrating medium- (MR) very-high-resolution (VHR) images through FAO’s Collect Earth platform. More than 11,150 plots were inventoried Temperate FAO ecozone Europe to monitor LULUCF from 2000 2015. As result, 2.19% 2.77% (MR/VHR) study area underwent LULUCF,...

10.3390/rs13214344 article EN cc-by Remote Sensing 2021-10-28

Rapid urban growth has historically led to changes in land use patterns and the degradation of natural resources environment. Uncontrolled areas city Quito continued present day since 1960s, aggravated by illegal or irregular new settlements. The main objective this paper is generate spatial predictions these types settlements 2023, 2028 2038, applying Dinamica EGO cellular automata multivariable software. study area was Machachi Valley between south rural localities Alóag Machachi. results...

10.3390/su13179525 article EN Sustainability 2021-08-24

This paper compares two pairwise comparison methods, the analytic hierarchy process (AHP) and a utility theory based method (UTB method), for sustainability assessment in forest management at local level. Six alternatives were ranked, corresponding to six different types of Sierra de Guadarrama National Park Madrid Region Spain. The methods tested by postgraduate students enrolled “Decision Support Systems” course Universidad Politécnica Madrid. Three indicators considered: structural...

10.3390/su10114101 article EN Sustainability 2018-11-08

Abstract Airborne Laser Scanning (ALS) is widely extended in forest evaluation, although photogrammetry-based Structure from Motion (SfM) has recently emerged as a more affordable alternative. Return cloud metrics and their normalization using different typologies of Digital Terrain Models (DTM), either derived SfM or private free access ALS, were evaluated. In addition, the influence return density (0.5–6.5 returns m -2 ) sampling intensity (0.3–3.4%) on estimation most common stand...

10.1007/s10342-022-01447-7 article EN cc-by European Journal of Forest Research 2022-04-12

Recent increases in incidents make it unlikely for emergency systems to be able meet incident requirements. In this paper, we formulate a new territorial measurement approach the reliability of fire departments, collapse index, help decision makers determine their response capability. This index expresses maximum simultaneous workload pixel over one year, measured time. Based on propose station (FS) optimum location model by applying simulated annealing method conjunction with geographic...

10.3390/app11188414 article EN cc-by Applied Sciences 2021-09-10

Wild foods contribute to the food security of multiple communities in tropical areas Africa, Asia and Latin America. However, wild are not regularly considered planning strategies for nutrition mainly due lack technical and/or scientific knowledge so that they can be suitable human consumption. This paper proposes a multidisciplinary method estimates potential as alternative resources when interventions favour forest territories. When designing method, four dimensions were identified...

10.1007/s13280-021-01624-9 article EN cc-by AMBIO 2021-09-17

Back-projecting is an alternative to orthorectification for ALS-imagery fusion. It usually assists in improving forest estimations mixed forests, by adding species information from optical sensors. In this study, we focused on the within-species advantages obtained. Results showed that estimating relative stem density improved significantly (from R2=0.76 R2=0.81), as multispectral signal may incorporate canopy closure-related shadowing conditions at plot-level. As a result, volume prediction...

10.5721/eujrs20134629 article EN cc-by-nc European Journal of Remote Sensing 2013-01-01
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