53 documents found, page 1 of 6
GEE_xtract: High-quality remote sensing data preparation and extraction for mul...
Valerio, Francesco; Godinho, Sérgio; Marques, Teresa; Crispim-Mendes, Tiago; Pita, Ricardo; Silva, João PauloEnvironmental sensing via Earth Observation Satellites (EOS) is critically important for understanding Earth’ biosphere. The last decade witnessed a “Klondike Gold Rush” era for ecological research given a growing multidisciplinary interest in EOS. Presently, the combination of repositories of remotely sensed big data, with cloud infrastructures granting exceptional analytical power, may now mark the emergence ...
High-resolution species distribution modelling reveals spatio-temporal variabil...
Crispim-Mendes, Tiago; Valerio, Francesco; Marques, Teresa; Pita, Ricardo; Godinho, SérgioContext: Species distribution models (SDMs) may provide accurate predictions of species occurrence across space and time, being critical for effective conservation planning. Objectives: Focusing on the little bustard (Tetrax tetrax), an endangered grassland bird, we aimed to: (i) characterise the drivers of the species distribution along its key phenological phases (winter, breeding, and post-breeding); and (ii...
Multi-temporal remote sensing of inland surface waters: A fusion of sentinel-1&...
Valerio, Francesco; Godinho, Sérgio; Ferraz, Gonçalo; Pita, Ricardo; Gameiro, João; Siva, Bruno; Marques, Teresa; Siva, João PauloInland freshwaters are essential in maintaining ecological balance and supporting human development. However, comprehensive water data cataloguing remains insufficient, especially for small water bodies (i.e., ponds), which are overlooked despite their ecological importance. To address this gap, remote sensing has emerged as a possible solution for understanding ecohydrological characteristics of water bodies, ...
Patch spatial attributes and time to disturbance affect the emergence of source...
Crispim-Mendes, Tiago; Roos, Deon; Ferreira, Clara; Paupério, Joana; Silva, João Paulo; Godinho, Sérgio; Alves, Paulo Célio; Mira, António; Beja, PedroUnderstanding the demography of local populations within ephemeral habitat patches is crucial for effective local (site-based) conservation management in spatially and temporally heterogeneous environments. Evidence suggests that species persisting in networks of ephemeral patches often exhibit source-sink dynamics, where certain local populations act as temporary sources at some time between initial colonizati...
EL SISÓN COMÚN (Tetrax tetrax) EN EXTREMADURA: POBLACIÓN Y ECOLOGÍA
Silva, João Paulo; Soares, Filipa Coutinho; Guzmán, José Maria; Marques, Teresa; Garcia de la Morena, Eladio; Juhlin, Cristina MoraisNão disponível
Multi-temporal remote sensing of inland surface waters: A fusion of sentinel-1&...
Valério, Francesco; Godinho, Sérgio; Ferraz, Gonçalo; Pita, Ricardo; Gameiro, João; Silva, Bruno; Marques, Ana Teresa; Silva, João PauloInland freshwaters are essential in maintaining ecological balance and supporting human development. How ever, comprehensive water data cataloguing remains insufficient, especially for small water bodies (i.e., ponds), which are overlooked despite their ecological importance. To address this gap, remote sensing has emerged as a possible solution for understanding ecohydrological characteristics of water bodies,...
Using bi-temporal ALS and NFI-based time-series data to account for large-scale...
Guerra-Hernández, Juan; Adrián, Pascual; Tupinambá-Simões, Frederico; Godinho, Sérgio; Botequim, Brigite; Jurado-Varela, Alfonso; Sandoval-AltelarreaNew remote-sensed biomass change products will transform our capacity to monitor and validate large-scale carbon dynamic in the next decade. In this study, we evaluated the use of multitemporal Airborne Laser Scanning (ALS) and the Climate Change Initiative (CCI) BIOMASS spaceborne mission to estimate AGB dynamics in different Mediterranean forest over an 8-year period (2010–2018). To do so, we evaluated differ...
High‑resolution species distribution modelling reveals spatio‑temporal variabil...
Crispim, Tiago; Valerio, Francesco; Marques, Ana Teresa; Pita, Ricardo; Godinho, Sérgio; Silva, João PauloContext Species distribution models (SDMs) may provide accurate predictions of species occurrence across space and time, being critical for effective con servation planning. Objectives Focusing on the little bustard (Tetrax tetrax), an endangered grassland bird, we aimed to: (i) characterise the drivers of the species distribution along its key phenological phases (winter, breeding, and post-breeding); and (ii)...
Patch spatial attributes and time to disturbance affect the emergence of source...
Crispim, Tiago; Roos, Deon; Ferreira, Clara; Paupério, Joana; Silva, João Paulo; Godinho, Sérgio; Alves, Paulo Célio; Mira, António; Beja, PedroUnderstanding the demography of local populations within ephemeral habitat patches is crucial for effective local (site-based) conservation management in spatially and temporally heterogeneous environments. Evidence suggests that species persisting in networks of ephemeral patches often exhibit source-sink dynamics, where certain local populations act as temporary sources at some time between initial colonizati...
GEE_xtract: High-quality remote sensing data preparation and extraction for mul...
Valério, Francesco; Godinho, Sérgio; Marques, Ana Teresa; Crispim-Mendes, Tiago; Pita, RicardoEnvironmental sensing via Earth Observation Satellites (EOS) is critically important for understanding Earth’ biosphere. The last decade witnessed a “Klondike Gold Rush” era for ecological research given a growing multidisciplinary interest in EOS. Presently, the combination of repositories of remotely sensed big data, with cloud infrastructures granting exceptional analytical power, may now mark the emergence ...