Zobrazeno 1 - 10
of 89
pro vyhledávání: '"M Pilar Martín"'
Autor:
Lara Vilar, Israel Gómez, Javier Martínez-Vega, Pilar Echavarría, David Riaño, M Pilar Martín
Publikováno v:
PLoS ONE, Vol 11, Iss 8, p e0161344 (2016)
The socio-economic factors are of key importance during all phases of wildfire management that include prevention, suppression and restoration. However, modeling these factors, at the proper spatial and temporal scale to understand fire regimes is st
Externí odkaz:
https://doaj.org/article/f882196c07784e0dbb1ae2157fe2cb23
Autor:
Marta Yebra, Gianluca Scortechini, Karine Adeline, Nursema Aktepe, Turkia Almoustafa, Avi Bar-Massada, María Eugenia Beget, Matthias Boer, Ross Bradstock, Tegan Brown, Francesc Xavier Castro, Rui Chen, Emilio Chuvieco, Mark Danson, Cihan Ünal Değirmenci, Ruth Delgado-Dávila, Philip Dennison, Carlos Di Bella, Oriol Domenech, Jean-Baptiste Féret, Greg Forsyth, Eva Gabriel, Zisis Gagkas, Fatma Gharbi, Elena Granda, Anne Griebel, Binbin He, Matt Jolly, Ivan Kotzur, Tineke Kraaij, Agnes Kristina, Pınar Kütküt, Jean-Marc Limousin, M. Pilar Martín, Antonio T. Monteiro, Marco Morais, Bruno Moreira, Florent Mouillot, Samukelisiwe Msweli, Rachael H. Nolan, Grazia Pellizzaro, Yi Qi, Xingwen Quan, Victor Resco de Dios, Dar Roberts, Çağatay Tavşanoğlu, Andy F. S. Taylor, Jackson Taylor, İrem Tüfekcioğlu, Andrea Ventura, Nicolas Younes Cardenas
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-12 (2024)
Abstract Globe-LFMC 2.0, an updated version of Globe-LFMC, is a comprehensive dataset of over 280,000 Live Fuel Moisture Content (LFMC) measurements. These measurements were gathered through field campaigns conducted in 15 countries spanning 47 years
Externí odkaz:
https://doaj.org/article/4f6c75f2d9af4dab981cabc6e419f568
Autor:
Carlos Gonzalo, Vicente Burchard-Levine, Víctor Rolo, Rosario González-Cascón, Gerardo Moreno, M. Pilar Martín
Publikováno v:
Cuadernos de Investigación Geográfica, Vol 49, Iss 1 (2022)
El presente trabajo aborda la estimación de la diversidad funcional (FD) del estrato herbáceo en un ecosistema de dehesa mediante datos hiperespectrales obtenidos con un espectro-radiómetro portátil ASD FieldSpec® 3 (Analytical Spectral Devices
Externí odkaz:
https://doaj.org/article/e881982ce6c846b19ebc624fde8b2706
Autor:
Hafiz Ali Imran, Damiano Gianelle, Duccio Rocchini, Michele Dalponte, M. Pilar Martín, Karolina Sakowska, Georg Wohlfahrt, Loris Vescovo
Publikováno v:
Remote Sensing, Vol 12, Iss 14, p 2254 (2020)
Red-edge (RE) spectral vegetation indices (SVIs)—combining bands on the sharp change region between near infrared (NIR) and visible (VIS) bands—alongside with SVIs solely based on NIR-shoulder bands (wavelengths 750–900 nm) have been shown to p
Externí odkaz:
https://doaj.org/article/08b8016748314a4e8cac3cbb4bd05d56
Publikováno v:
Remote Sensing, Vol 12, Iss 10, p 1596 (2020)
This paper develops an algorithm to estimate vegetation canopy gap fraction (GF), taking advantage of the full Terrestrial Laser Scanner (TLS) resolution. After calculating the TLS angular resolution, the algorithm identifies the missing laser hits (
Externí odkaz:
https://doaj.org/article/a892e8b223ab48eba3d07b783fdbab77
Autor:
Mariano García, David Riaño, Marta Yebra, Javier Salas, Adrián Cardil, Santiago Monedero, Joaquín Ramirez, M. Pilar Martín, Lara Vilar, John Gajardo, Susan Ustin
Publikováno v:
Remote Sensing, Vol 12, Iss 11, p 1714 (2020)
Live Fuel Moisture Content (LFMC) contributes to fire danger and behavior, as it affects fire ignition and propagation. This paper presents a two layered Landsat LFMC product based on topographically corrected relative Spectral Indices (SI) over a 20
Externí odkaz:
https://doaj.org/article/dd76e7e895244700902118969aca8094
Autor:
Vicente Burchard-Levine, Héctor Nieto, David Riaño, Mirco Migliavacca, Tarek S. El-Madany, Oscar Perez-Priego, Arnaud Carrara, M. Pilar Martín
Publikováno v:
Remote Sensing, Vol 12, Iss 6, p 904 (2020)
The thermal-based two-source energy balance (TSEB) model has accurately simulated energy fluxes in a wide range of landscapes with both remote and proximal sensing data. However, tree-grass ecosystems (TGE) have notably complex heterogeneous vegetati
Externí odkaz:
https://doaj.org/article/c327f4b5b471442998322be7e61ae229
Publikováno v:
Remote Sensing, Vol 7, Iss 11, Pp 14458-14481 (2015)
Implementation of precision viticulture techniques requires the use of emerging sensing technologies to assess the vineyard spatial variability. This work shows the capability of multispectral imagery acquired from a remotely piloted aerial system (R
Externí odkaz:
https://doaj.org/article/44365cb1c592487ea0aab47e9990c9bb
Publikováno v:
Biogeosciences, Vol 12, Iss 18, Pp 5523-5535 (2015)
This study evaluates three different metrics of water content of an herbaceous cover in a Mediterranean wooded grassland (dehesa) ecosystem. Fuel moisture content (FMC), equivalent water thickness (EWT) and canopy water content (CWC) were estimated f
Externí odkaz:
https://doaj.org/article/aec333efa56942e186aec29f8f05649e
Publikováno v:
Sensors, Vol 15, Iss 2, Pp 4154-4175 (2015)
Field spectroradiometers integrated in automated systems at Eddy Covariance (EC) sites are a powerful tool for monitoring and upscaling vegetation physiology and carbon and water fluxes. However, exposure to varying environmental conditions can affec
Externí odkaz:
https://doaj.org/article/875d17aad8754752a7827aad7bd33051