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Ara es mostren els items 1-20 de 26

    • A random forest approach for soil moisture estimation at 60 meters spatial resolution 

      Portal González, Gerard; Vall-Llossera Ferran, Mercedes Magdalena; López Martínez, Carlos; Camps Carmona, Adriano José; Pablos Hernández, Miriam; Chaparro Danon, David; Irawan, Amir Mustofa; Alonso González, Alberto; Jagdhuber, Thomas (Institute of Electrical and Electronics Engineers (IEEE), 2023)
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      A Random Forest (RF) regression-tree method to derive high-resolution (60 m) surface soil moisture maps is proposed in this study. The developed methodology integrates multi-source synergies by incorporating information ...

    • A spatially consistent downscaling approach for SMOS using an adaptive window 

      Portal González, Gerard; Vall-Llossera Ferran, Mercedes Magdalena; Piles de la Fuente, María Pilar; Camps Carmona, Adriano José; Chaparro Danon, David; Pablos Hernández, Miriam; Rossato, Luciana (Institute of Electrical and Electronics Engineers (IEEE), 2017)
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      The ESA's Soil Moisture and Ocean Salinity (SMOS, 2009-2017) is the first mission using L-band radiometry to monitor the Earth's global surface soil moisture (SM). After more than 7 years in orbit, many studies have ...

    • Applications of L-band missions for environmental research 

      Chaparro Danon, David (Universitat Politècnica de Catalunya, 2018-10-15)
      Tesi
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      Human activity leads to environmental changes which threaten the vegetation. Global warm ing trends, deforestation and land cover, or modified Earth's surface albedo, are sorne examples of these environmental changes. ...

    • Burned area prediction in Southern Asia using machine learning with land and atmospheric parameters 

      Irawan, Amir Mustofa; Vall-Llossera Ferran, Mercedes Magdalena; López Martínez, Carlos; Camps Carmona, Adriano José; Chaparro Danon, David; Portal González, Gerard; Pablos Hernández, Miriam (Institute of Electrical and Electronics Engineers (IEEE), 2023)
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      In the work a random forest model has been implemented as an interpretable machine learning tool in the effort to estimate the burned areas caused by fire outbreaks in India, Pakistan, and Myanmar in April and May 2022. ...

    • Error propagation in microwave soil moisture and vegetation optical depth retrievals 

      Feldman, Andrew F.; Chaparro Danon, David; Entekhabi, Dara (2021-01-01)
      Article
      Accés obert
      Satellite soil moisture and vegetation optical depth [(VOD); related to the total vegetation water mass per unit area] are increasingly being used to study water relations in the soil-plant continuum across the globe. ...

    • Estimation of gravimetric vegetation moisture in the western United States using a multi-sensor approach 

      Chaparro Danon, David; Jagdhuber, Thomas; Piles Guillem, María; Jonard, François; Vall-Llossera Ferran, Mercedes Magdalena; Camps Carmona, Adriano José; López Martínez, Carlos; Fluhrer, Anke; Fernández Morán, Roberto; Baur, Martin J.; Feldman, Andrew F.; Entekhabi, Dara (Institute of Electrical and Electronics Engineers (IEEE), 2023)
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      Vegetation optical depth (VOD) depends on the water, structure, and biomass of vegetation. Here, we propose a multi-sensor approach to isolate the water component from the VOD and to retrieve gravimetric vegetation moisture ...

    • Global L-band vegetation volume fraction estimates for modeling vegetation optical depth 

      Chaparro Danon, David; Jagdhuber, Thomas; Piles Guillem, María; Entekhabi, Dara; Jonard, François; Fluhrer, Anke; Feldman, Andrew F.; Vall-Llossera Ferran, Mercedes Magdalena; Camps Carmona, Adriano José (Institute of Electrical and Electronics Engineers (IEEE), 2021)
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      The attenuation of microwave emissions through the canopy is quantified by the vegetation optical depth (VOD), which is related to the amount of water, the biomass and the structure of vegetation. To provide microwave-derived ...

    • Global unsupervised assessment of multifrequency vegetation optical depth sensitivity to vegetation cover 

      Olivares Cabello, Claudia Lily; Chaparro Danon, David; Vall-Llossera Ferran, Mercedes Magdalena; Camps Carmona, Adriano José; López Martínez, Carlos (Institute of Electrical and Electronics Engineers (IEEE), 2023)
      Article
      Accés obert
      Vegetation optical depth (VOD) has contributed to monitor vegetation dynamics and carbon stocks at different microwave frequencies. Nevertheless, there is a need to determine which are the appropriate frequencies to monitor ...

    • Influence of quality filtering approaches in BEC SMOS L3 soil moisture products 

      Pablos Hernández, Miriam; Vall-Llossera Ferran, Mercedes Magdalena; Piles, María; Camps Carmona, Adriano José; González-Haro, Cristina; Turiel, Antonio; Herbert, Christoph Josef; Chaparro Danon, David; Portal González, Gerard (2019)
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      Global Soil Moisture and Ocean Salinity (SMOS) Level 3 (L3) soil moisture (SM) products are being routinely distributed by the Barcelona Expert Centre (BEC). The quality and accuracy of these SM products have been demonstrated ...

    • L-Band vegetation optical depth for crop phenology monitoring and crop yield assessment 

      Chaparro Danon, David; Piles Guillem, Maria; Vall-Llossera Ferran, Mercedes Magdalena; Camps Carmona, Adriano José; Konings, Alexandra G.; Entekhabi, Dara; Jagdhuber, Thomas (Institute of Electrical and Electronics Engineers (IEEE), 2018)
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      Vegetation Optical Depth (VOD) at L-band is highly sensitive to the water content and above-ground biomass of vegetation. Hence, it has great potential for monitoring crop phenology and for providing crop yield forecasts. ...

    • L-band vegetation optical depth seasonal metrics for crop yield assessment 

      Chaparro Danon, David; Piles Guillem, Maria; Vall-Llossera Ferran, Mercedes Magdalena; Camps Carmona, Adriano José; Konings, Alexandra G.; Entekhabi, Dara (2018-06-01)
      Article
      Accés obert
      Attenuation of surface microwave emission due to the overlying vegetation is proportional to the density of the canopy and to its water content. The vegetation optical depth (VOD) parameter measures this attenuation. VOD ...

    • Land, jet stream, and other atmospheric effects on burned area estimation during the South Asian heatwave of 2022 

      Irawan, Amir Mustofa; Vall-Llossera Ferran, Mercedes Magdalena; López Martínez, Carlos; Camps Carmona, Adriano José; Chaparro Danon, David; Portal González, Gerard; Pablos Hernández, Miriam; Alonso González, Alberto (2024-04)
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      Understanding the key variables that characterise fire propagation is important for a better estimation of fire events and their impacts. This study uses machine learning combined with satellite remote sensing and atmospheric ...

    • Low soil moisture and high temperatures as indicators for forest fire occurrence and extent across the Iberian Peninsula 

      Chaparro Danon, David; Vall-Llossera Ferran, Mercedes Magdalena; Piles Guillem, Maria; Camps Carmona, Adriano José (Institute of Electrical and Electronics Engineers (IEEE), 2015)
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      Fires are a concerning topic in Mediterranean areas. They are increasing in number and extension, probably due to the anomalous dry and hot conditions experienced in this region in the last decade. In this study, more than ...

    • Mapping carbon stocks in Central and South America with smap vegetation optical depth 

      Chaparro Danon, David; Duveiller, Gregory; Piles, María; Vall-Llossera Ferran, Mercedes Magdalena; Cescatti, A.; Camps Carmona, Adriano José; Entekhabi, Dara (Institute of Electrical and Electronics Engineers (IEEE), 2019)
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      Mapping carbon stocks in the tropics is essential for climate change mitigation. Passive microwave remote sensing allows estimating carbon from deep canopy layers through the Vegetation Optical Depth (VOD) parameter. ...

    • Microwave and optical data fusion for global mapping of soil moisture at high resolution 

      Portal González, Gerard; Vall-Llossera Ferran, Mercedes Magdalena; Piles Guillem, Maria; Camps Carmona, Adriano José; Chaparro Danon, David; Pablos Hernández, Miriam; Rossato, Luciana; Aabouch, Khalid (Institute of Electrical and Electronics Engineers (IEEE), 2018)
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      After more than 8 years in orbit the Soil Moisture and Ocean Salinity (SMOS) satellite is still in good health and several algorithms for improving its spatial resolution have been proposed and validated in a variety of ...

    • Modelling forest decline using SMOS soil moisture and vegetation optical depth 

      Chaparro Danon, David; Piles Guillem, Maria; Martínez Vilalta, Jordi; Vall-Llossera Ferran, Mercedes Magdalena; Vayreda, Jordi; Banque, Mireia; Camps Carmona, Adriano José (Institute of Electrical and Electronics Engineers (IEEE), 2018)
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      Global change is increasing the risk of forest decline worldwide, impacting carbon and water cycles. Hence, there is an urgent need for predicting forest decline occurrence. To that purpose, this study links forest decline ...

    • Monitoring forest above-ground biomass from multifrequency vegetation optical depth: a preliminary study 

      Olivares Cabello, Claudia Lily; Chaparro Danon, David; Vall-Llossera Ferran, Mercedes Magdalena; Camps Carmona, Adriano José (Institute of Electrical and Electronics Engineers (IEEE), 2021)
      Text en actes de congrés
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      Vegetation Optical Depth (VOD) is highly sensitive to Above-ground Biomass (AGB), particularly at L-band, as this band is more sensitive to the canopy layer and has greater ca pacity to penetrate the vegetation. However, ...

    • Predicting the extent of wildfires using remotely sensed soil moisture and temperature trends 

      Chaparro Danon, David; Vall-Llossera Ferran, Mercedes Magdalena; Piles Guillem, Maria; Camps Carmona, Adriano José; Rudiger, Christoph; Riera Tatche, Ramón (Institute of Electrical and Electronics Engineers (IEEE), 2016-06-01)
      Article
      Accés obert
      Recent climate trends evidence a rise of temperatures and an increase in the duration and intensity of droughts which is in turn leading to the occurrence of larger wildfires, which threaten the environment as well as human ...

    • Quantifying and reducing uncertainty in microwave vegetation optical depth and soil moisture retrievals 

      Feldman, Andrew F.; Chaparro Danon, David; Entekhabi, Dara (Institute of Electrical and Electronics Engineers (IEEE), 2022)
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      Soil moisture and vegetation optical depth (VOD; related to vegetation water content) retrieved from SMAP and SMOS satellites are widely used for a range of hydrosphere and biosphere applications. However, while soil ...

    • Retrieving forest vegetation moisture content from a multi-sensor approach in the Western United States 

      Chaparro Danon, David; Jagdhuber, Thomas; Piles Guillem, María; Flührer, Anke; Jonard, François; Vall-llossera, M.; Camps Carmona, Adriano José; López-Martínez, Carlos; Feldman, Andrew F.; Entekhabi, Dara (2022-06-21)
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