M.A. Gilabert

M.A. Gilabert
University of Valencia | UV · Departament de Física de la Terra i Termodinàmica

Ph.D. Physics

About

121
Publications
48,297
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
3,067
Citations
Citations since 2016
45 Research Items
1408 Citations
2016201720182019202020212022050100150200
2016201720182019202020212022050100150200
2016201720182019202020212022050100150200
2016201720182019202020212022050100150200

Publications

Publications (121)
Article
The multi-resolution analysis based on wavelet transform (WT) has widely proved its effectiveness for the analysis of non-stationary time series (TS) in the remote sensing field. However, there are three essential parameters affecting wavelet-aided data in vegetation dynamics detection. This study proposes a new methodology that serves for the prop...
Article
Full-text available
The main objective of this study is to analyze the spatial and temporal variability of gross and net primary production (GPP and NPP) in Peninsular Spain across 15 years (2004–2018) and determine the relationship of those carbon fluxes with precipitation and air temperature. A time series study of daily GPP, NPP, mean air temperature, and monthly s...
Article
Full-text available
The termination or interruption of agro-forestry practices for a long period gradually results in abandoned land. Abandoned land parcels do not match the requirements to access to the basic payment of the European Common Agricultural Policy (CAP). Therefore, the identification of those parcels is key in order to return fair subsidies to farmers. In...
Preprint
Spatially and temporally explicit canopy water content (CWC) data are important for monitoring vegetation status, and constitute essential information for studying ecosystem-climate interactions. Despite many efforts there is currently no operational CWC product available to users. In the context of the Satellite Application Facility for Land Surfa...
Preprint
Full-text available
Leaf area index (LAI) is a key biophysical parameter used to determine foliage cover and crop growth in environmental studies. Smartphones are nowadays ubiquitous sensor devices with high computational power, moderate cost, and high-quality sensors. A smartphone app, called PocketLAI, was recently presented and tested for acquiring ground LAI estim...
Preprint
Full-text available
We describe the methodology applied for the retrieval of global LAI, FAPAR and FVC from Advanced Very High Resolution Radiometer (AVHRR) onboard the Meteorological-Operational (MetOp) polar orbiting satellites also known as EUMETSAT Polar System (EPS). A novel approach has been developed for the joint retrieval of three parameters (LAI, FVC, and FA...
Article
Full-text available
p class="p1">The use of deep learning techniques for remote sensing applications has recently increased. These algorithms have proven to be successful in estimation of parameters and classification of images. However, little effort has been made to make them understandable, leading to their implementation as “black boxes”. This work aims to evaluat...
Article
Full-text available
The use of deep learning (DL) approaches for the analysis of remote sensing (RS) data is rapidly increasing. DL techniques have provided excellent results in applications ranging from parameter estimation to image classification and anomaly detection. Although the vast majority of studies report precision indicators, there is a lack of studies deal...
Article
Full-text available
p>This study aims to introduce a completely new and recently launched 10-day GPP product based on data from the geostationary MSG satellite (MGPP LSA-411) and to assess its capability to detect areas affected by water stress (hot spots). The GPP product is based on Monteith’s concept, which models GPP as the product of the incoming photosynthetical...
Article
Full-text available
This study simulates annual net primary production (NPP) of forests over peninsular Spain during the years 2005–2012. The modeling strategy consists of a linked production efficiency model based on the Monteith approach and the bio-geochemical model Biome-BGC. Recently produced databases and data layers over the study area including meteorological...
Article
Spatially and temporally explicit canopy water content (CWC) data are important for monitoring vegetation status, and constitute essential information for studying ecosystem-climate interactions. Despite many efforts there is currently no operational CWC product available to users. In the context of the Satellite Application Facility for Land Surfa...
Article
Full-text available
The objective of this study is to describe a completely new 10-day gross primary production (GPP) product (MGPP LSA-411) based on data from the geostationary SEVIRI/MSG satellite within the LSA SAF (Land Surface Analysis SAF) as part of the SAF (Satellite Application Facility) network of EUMETSAT. The methodology relies on the Monteith approach. It...
Conference Paper
Full-text available
Trend analysis in annual GPP over peninsular Spain Abstract: A semi-empirical model previously proposed by the authors is applied to calculate the annual carbon flux assimilated by the vegetation through photosynthesis (GPP). The time series of annual GPP images, generated from 2001 to 2018 at 1-km spatial resolution, is analysed to detect statisti...
Conference Paper
Full-text available
This study aims to introduce a completely new and recently launched 10-day GPP product based on data from the geostationary MSG satellite (MGPP LSA-411) and to assess its capability to detect areas affected by water stress (hot spots). The robustness of this product is evaluated at both site and global scales across the MSG disk using eddy cova-ria...
Conference Paper
Full-text available
In this study we present the methodology overtaken over a Sentinel-2 granule to classify the main SIGPAC uses with the aim of supporting the common agricultural policy (CAP) management of the European Union in the Valencian Community. This methodology is based on a supervised classification approach using time series from the Sentinel-2 satellite a...
Article
Full-text available
This paper proposes a methodology for deriving an agreement map between the Spanish Land Parcel Information System (LPIS), also known as SIGPAC, and a classification map obtained from multitemporal Sentinel-1 and Sentinel-2 data. The study area comprises the province of València (Spain). The approach exploits predictions and class probabilities obt...
Article
Full-text available
The scientific community requires long-term data records with well-characterized uncertainty and suitable for modeling terrestrial ecosystems and energy cycles at regional and global scales. This paper presents the methodology currently developed in EUMETSAT within its Satellite Application Facility for Land Surface Analysis (LSA SAF) to generate b...
Article
Growing stock volume (GSV) is one of the most important variables for forest management and is traditionally estimated from ground measurements. These measurements are expensive and therefore sparse and hard to maintain in time on a regular basis. Remote sensing data combined with national forest inventories constitute a helpful tool to estimate an...
Conference Paper
The main goal of this paper is to provide a ten-day GPP product from MSG/SEVIRI data in the framework of the EUMETSAT/LSA SAF project. The proposed algorithm to derive GPP from MSG/SEVIRI relies on the Monteith approach, which is driven by the flux density of photosynthetically active radiation (PAR), the fractional absorption of that flux (fAPAR)...
Conference Paper
Particular attention must be paid to the estimation of carbon fluxes between biosphere and atmosphere in Mediterranean regions such as Comunitat Valenciana since an increase in the intensity and the duration of droughts has been reported. A production efficiency model (PEM) driven mostly by remotely sensed data was used to estimate monthly gross pr...
Conference Paper
The Satellite Application Facility on Land Surface Analysis (LSA SAF) aims to provide land surface variables for environmental and meteorological purposes from EUMETSAT constellation satellites. The suite of LSA SAF vegetation products includes two different data sets, one from SEVIRI/MG geostationary satellites, and other from AVHRR/METOP polar or...
Conference Paper
The aim of this work is to assess the utility of combining Sentinel-2A and Landsat (Landsat-7 ETM+ and Landsat-8 OLI) LAI time series for rice crop monitoring. LAI maps were produced in three countries (Italy, Spain and Greece) using state-of-the-art machine learning algorithms trained on simulated radiative transfer modelling data specifically gen...
Article
Full-text available
Leaf area index (LAI) is a key biophysical variable fundamental in natural vegetation and agricultural land monitoring and modelling studies. This paper is aimed at comparing, validating and discussing different LAI satellite products from operational services and customized solution based on innovative Earth Observation (EO) data such as Landsat-7...
Article
The main goal of this paper is to derive a method for a daily gross primary production (GPP) product over Europe and Africa taking the full advantage of the SEVIRI/MSG satellite products from the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) sensors delivered from the Satellite Application Facility for Land Surf...
Article
A methodology for improving the application of BIOME-BGC in peninsular Spain was developed focusing on the optimization of the rooting depth (zroot), which is not available for the study area on a spatially distributed basis. The optimal zroot was identified by comparing daily gross primary production (GPP) simulations with varying zroot to GPP est...
Article
Full-text available
p>Carbon use efficiency (CUE) describes how efficiently plants incorporate the carbon fixed during photosynthesis into biomass gain and can be calculated as the ratio between net primary production (NPP) and gross primary production (GPP). In this work, annual CUE has been obtained from annual GPP and NPP MODIS products for the peninsular Spain stu...
Conference Paper
Full-text available
In this work, a smartphone app namely PocketLAI specifically designed for collecting leaf area index (LAI) ground measurements is presented. Since smartphones are daily use devices easy to handle by students, using an app instead of classical expensive heavy instruments would be more interesting both for remote sensing students and teachers. The ap...
Article
Full-text available
A linear relationship between the annual gross primary production (GPP) and a PAR-weighted vegetation index is theoretically derived from the Monteith equation. A semi-empirical model is then proposed to estimate the annual GPP from commonly available vegetation indices images and a representative PAR, which does not require actual meteorological d...
Article
Full-text available
The capacity of six water stress factors (ε′i) to track daily light use efficiency (ε) of water-limited ecosystems was evaluated. These factors are computed with remote sensing operational products and a limited amount of ground data: ε′1 uses ground precipitation and air temperature, and satellite incoming global solar radiation; ε′2 uses ground a...
Article
Full-text available
Leaf area index (LAI) is a key biophysical parameter used to determine foliage cover and crop growth in environmental studies in order to assess crop yield. Frequently, plant canopy analyzers (LAI-2000) and digital cameras for hemispherical photography (DHP) are used for indirect effective plant area index (PAI_eff) estimates. Nevertheless, these i...
Article
Full-text available
Leaf area index (LAI) is a key biophysical parameter used to determine foliage cover and crop growth in environmental studies. Smartphones are nowadays ubiquitous sensor devices with high computational power, moderate cost, and high-quality sensors. A smartphone app, which is called PocketLAI, was recently presented and tested for acquiring ground...
Article
Full-text available
ISSN 0213-862X Revista Espanola de Física
Conference Paper
Full-text available
Leaf area index (LAI) is a key biophysical parameter used to determine foliage cover and crop growth in environmental studies in order to assess crop yield. LAI estimates can be classified as direct or indirect methods. Direct methods are destructive, time consuming, and difficult to apply over large fields. Indirect methods are non-destructive and...
Conference Paper
Full-text available
This paper proposes a full Earth observation processing chaing for biophysical parameter estimation at local scales. In particular, we focus on the Leaf Area Index (LAI) as an essential climate variable required for the monitoring and modeling of land surfaces at local scale. The main goal of this study is tied to the use of optical satellite image...
Article
The accurate representation of terrestrial CO2 uptake (GPP) using Monteith’s approach requires a frequent and site-specific parameterization of the model inputs. In this work, an optimization of this approach has been carried out by adjusting the inputs (fAPAR, PAR and ε) for the study area, peninsular Spain, a typical Mediterranean region. The dai...
Article
Full-text available
Frequency of climatic extremes like long duration droughts has increased in Spain over the last century. The use of remote sensing observations for monitoring and detecting drought is justified on the basis that vegetation vigor is closely related to moisture condition. We derive satellite estimates of bio-physical variables such as fractional vege...
Article
Full-text available
Ecosystem state can be characterized by a set of attributes that are related to the ecosystem functionality, which is a relevant issue in understanding the quality and quantity of ecosystem services and goods, adaptive capacity and resilience to perturbations. This study proposes a major identification of Ecosystem Functional Types (EFTs) in Spa...
Article
Full-text available
Time series of remotely sensed data are an important source of information for understanding land cover dynamics. In particular, the fraction of absorbed photosynthetic active radiation (fAPAR) is a key variable in the assessment of vegetation primary production over time. However, the fAPAR series derived from polar orbit satellites are not contin...
Article
Full-text available
This work aims to the estimation of fAPAR over the Iberian Peninsula using MODIS data. First, the 4SAIL2 and PROSPECT radiative transfer models have been used to simulate data set of reflectance and fAPAR. Second, an artificial neuronal network􀀃􀀃 has been trained using the simulated data and finally, it has been inverted to derive fAPAR estimates o...
Conference Paper
Full-text available
RESUMEN Los datos de satélite permiten analizar las variaciones en la actividad de la vegetación a varias escalas temporales y su respuesta a la variabilidad climática. En este trabajo se pone de manifiesto la vulnerabilidad de la vegetación en España ante condiciones ambientales extremas a través de las correlaciones entre índices de meteorológico...
Conference Paper
RESUMEN Los datos de satélite permiten analizar las variaciones en la actividad de la vegetación a varias escalas temporales y su respuesta a la variabilidad climática. En este trabajo se pone de manifiesto la vulnerabilidad de la vegetación en España ante condiciones ambientales extremas a través de las correlaciones entre índices de meteorológico...
Article
Full-text available
Monitoring the vegetation activity over long time-scales is necessary to discern ecosystem responses to climate variability. Spatial and temporally consistent estimates of the biophysical variables such as fractional vegetation cover (FVC) and leaf area index (LAI) have been obtained in the context of DULCINEA Project. We use long-term monthly clim...
Article
The fraction of absorbed photosynthetically active radiation (FAPAR) is a key variable in productivity and carbon cycle models. The variety of available FAPAR satellite products from different space agencies leads to the necessity of assessing the existing differences between them before using into models. Discrepancies of four FAPAR products deriv...
Article
The fraction of absorbed photosynthetically active radiation (FAPAR) is a key variable in productivity and carbon cycle models. The variety of available FAPAR satellite products from different space agencies leads to the necessity of assessing the existing differences between them before using into models. Discrepancies of four FAPAR products deriv...