A5044680131- Remote Sensing and LiDAR Applications
- Remote Sensing in Agriculture
- Fire effects on ecosystems
- Forest ecology and management
- Plant Water Relations and Carbon Dynamics
- Forest Ecology and Biodiversity Studies
- 3D Surveying and Cultural Heritage
- Land Use and Ecosystem Services
- Tree-ring climate responses
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Atmospheric and Environmental Gas Dynamics
- Mediterranean and Iberian flora and fauna
- Hydrology and Watershed Management Studies
- Comparative Literary Analysis and Criticism
- Species Distribution and Climate Change
- Forest Management and Policy
- Plant and soil sciences
- Forest Insect Ecology and Management
- Flood Risk Assessment and Management
- Coral and Marine Ecosystems Studies
- Latin American Literature Studies
- Libraries, Manuscripts, and Books
- Plant Pathogens and Fungal Diseases
- Marine and fisheries research
- Fire Detection and Safety Systems
Universidad de Alcalá
2012-2025
Pontificia Universidad Católica Argentina
2022
University of Córdoba
2022
Centro Nacional de Información Geográfica
2020
University of California, Davis
2013-2019
Center For Remote Sensing (United States)
2015-2019
Jet Propulsion Laboratory
2016-2017
University of Leicester
2015-2017
Instituto Español de Estudios Estratégicos
2004-2009
Instituto Español de Oceanografía
2004
Fire has a diverse range of impacts on Earth's physical and social systems. Accurate up to date information areas affected by fire is critical better understand drivers activity, as well its relevance for biogeochemical cycles, climate, air quality, aid management. Mapping burned was traditionally done from field sketches. With the launch first Earth observation satellites, remote sensing quickly became more practical alternative detect areas, they provide timely regional global coverage...
Spatially explicit data on forest canopy fuel parameters provide critical information for wildfire propagation modelling, emission estimations and risk assessment. LiDAR observations enable accurate retrieval of the vertical structure vegetation, which makes them an excellent alternative characterising structures. In most cases, parameterisation has been based Airborne Laser Scanning (ALS) observations, are costly best suited local research. Spaceborne acquisitions overcome limited...
Spatially-explicit information on forest structure is paramount to estimating aboveground carbon stocks for designing sustainable management strategies and mitigating greenhouse gas emissions from deforestation degradation. LiDAR measurements provide samples of that must be integrated with satellite imagery predict map landscape scale variations structure. Here we evaluate the capability existing synthetic aperture radar (SAR) multispectral data estimate canopy height over five study sites...
NASA's Global Ecosystem Dynamic Investigation (GEDI) mission has been designed to measure forest structure using lidar waveforms sample the earth's vegetation while in orbit aboard International Space Station. In this paper, we used airborne large-footprint (LF) measurements simulate GEDI observations from which retrieved ground elevation, height, and aboveground biomass (AGB). GEDI-like product accuracy was then assessed by comparing them similar products derived small-footprint (SF)...
Forest height is an important forest biophysical parameter which used to derive information about ecosystems, such as above ground biomass. In this paper, the potential of combining Polarimetric Synthetic Aperture Radar (PolSAR) variables with LiDAR measurements for estimation investigated. This will be conducted using different machine learning algorithms including Random (RFs), Rotation (RoFs), Canonical Correlation (CCFs) and Support Vector Machine (SVMs). Various PolSAR parameters are...
Forests are increasingly subject to a number of disturbances that can adversely influence their health. Remote sensing offers an efficient alternative for assessing and monitoring forest A myriad methods based upon remotely sensed data have been developed, tailored the different definitions health considered, covering broad range spatial temporal scales. The purpose this review paper is identify analyse studies addressed issues applying remote techniques, in addition studying methodological...
Abstract. Accurate and spatially explicit information on forest fuels becomes essential to designing an integrated fire risk management strategy, as fuel characteristics are critical for danger estimation, propagation, emissions modelling, among other aspects. This paper proposes a new European classification system that can be used different spatial scales purposes (propagation, behaviour, emissions). The proposed is hierarchical encompasses total of 85 types, grouped into six main...
Above-ground biomass (AGB) is considered an essential climate variable that underpins our knowledge and information about the role of forests in mitigating change. The availability satellite-based AGB change (ΔAGB) products has increased recent years. Here we assessed past decade net ΔAGB derived from four global multi-date maps: ESA-CCI maps, WRI-Flux model, JPL time series, SMOS-LVOD series. Our assessments explore use different reference data sources with re-measurements within decade....
Abstract Globe-LFMC is an extensive global database of live fuel moisture content (LFMC) measured from 1,383 sampling sites in 11 countries: Argentina, Australia, China, France, Italy, Senegal, Spain, South Africa, Tunisia, United Kingdom and the States America. The contains 161,717 individual records based on situ destructive samples used to measure LFMC, representing amount water plant leaves per unit dry matter. primary goal calibrate validate remote sensing algorithms predict LFMC....
Airborne lidar is a technology well-suited for mapping many forest attributes, including aboveground biomass (AGB) stocks and changes in selective logging tropical forests. However, trade-offs still exist between pulse density accuracy of AGB estimates. We assessed the impacts on estimation using airborne field plot data selectively logged located near Paragominas, Pará, Brazil. Field-derived was computed at 85 square 50 × m plots 2014. Lidar were acquired 2012 2014, each dataset subsampled...
Wildfires constitute the most important natural disturbance of Mediterranean forests, driving vegetation dynamics. Although species have developed ecological post-fire recovery strategies, impacts climate change and changes in fire regimes may endanger their resilience capacity. This study aims at assessing dynamics different stages two large fires that occurred pine forests (Spain) using temporal segmentation Landsat time series (1994–2018). Landsat-based detection Trends Disturbance...
Forest dieback processes linked to drought are expected increase due climate warming. Remotely sensed data offer several advantages over common field monitoring methods such as the ability observe large areas on a systematic basis and their changes, making them increasingly used assess changes in forest health. Here we aim use combined approximation of fieldwork remote sensing explore possible links between land surface phenological trend variables derived from long Landsat time series. was...
Understanding post-fire recovery dynamics is critical for effective management that enhance forest resilience to fire. Mediterranean pine forests have been largely affected by wildfires, but the impacts of both changes in land use and climate endanger their capacity naturally recover. Multispectral imagery commonly used estimate recovery, yet structure must be considered a comprehensive evaluation recovery. In this research, we combine Light Detection And Ranging (LiDAR) with Landsat...