E-LIB Suche - Ergebnisse für: Moreno-Martínez, Álvaro

1

Intercomparison of global foliar trait maps reveals fundame..:

Dechant, Benjamin ; Kattge, Jens ; Pavlick, Ryan...
Remote Sensing of Environment. 311 (2024) - p. 114276 , 2024

Link: https://doi.org/10.1016/..

2

Soil and vegetation water content identify the main terrest..:

Bueso, Diego ; Piles, Maria ; Ciais, Philippe...
National Science Review. 10 (2023) 5 - p. , 2023

Link: https://doi.org/10.1093/..

3

Estimation of vegetation traits with kernel NDVI:

Wang, Qiang ; Moreno-Martínez, Álvaro ; Muñoz-Marí, Jordi..
ISPRS Journal of Photogrammetry and Remote Sensing. 195 (2023) - p. 408-417 , 2023

Link: https://doi.org/10.1016/..

4

Land use classification over smallholding areas in the Euro..:

Campos-Taberner, Manuel ; Javier García-Haro, Francisco ; Martínez, Beatriz...
ISPRS Journal of Photogrammetry and Remote Sensing. 197 (2023) - p. 320-334 , 2023

Link: https://doi.org/10.1016/..

5

Quantifying uncertainty in high resolution biophysical vari..:

Martínez-Ferrer, Laura ; Moreno-Martínez, Álvaro ; Campos-Taberner, Manuel...
Remote Sensing of Environment. 280 (2022) - p. 113199 , 2022

Link: https://doi.org/10.1016/..

6

Satellite Analyses Unravel the Multi-Decadal Impact of Dam ..:

Salerno, Luca ; Moreno-Martínez, Álvaro ; Izquierdo-Verdiguier, Emma...
Frontiers in Environmental Science. 10 (2022) - p. , 2022

Link: https://doi.org/10.3389/..

7

Inference over radiative transfer models using variational ..:

Svendsen, Daniel Heestermans ; Hernández-Lobato, Daniel ; Martino, Luca...
Machine Learning. 112 (2021) 3 - p. 921-937 , 2021

Link: https://doi.org/10.1007/..

8

Deep learning and citizen science enable automated plant tr..:

Schiller, Christopher ; Schmidtlein, Sebastian ; Boonman, Coline..
Scientific Reports. 11 (2021) 1 - p. , 2021

Link: https://doi.org/10.1038/..

9

A unified vegetation index for quantifying the terrestrial ..:

Camps-Valls, Gustau ; Campos-Taberner, Manuel ; Moreno-Martínez, Álvaro...
Science Advances. 7 (2021) 9 - p. , 2021

Link: https://doi.org/10.1126/..

10

Learning main drivers of crop progress and failure in Europ..:

Mateo-Sanchis, Anna ; Piles, Maria ; Amorós-López, Julia...
International Journal of Applied Earth Observation and Geoinformation. 104 (2021) - p. 102574 , 2021

Link: https://doi.org/10.1016/..

11

Machine Learning Methods for Spatial and Temporal Parameter..:

, In: Advances in Computer Vision and Pattern Recognition; Hyperspectral Image Analysis,

Moreno-Martínez, Álvaro ; Piles, María ; Muñoz-Marí, Jordi... - p. 5-35 , 2020

Link: https://doi.org/10.1007/..

12

Multispectral high resolution sensor fusion for smoothing a..:

Moreno-Martínez, Álvaro ; Izquierdo-Verdiguier, Emma ; Maneta, Marco P....
Remote Sensing of Environment. 247 (2020) - p. 111901 , 2020

Link: https://doi.org/10.1016/..

13

Growing stock volume from multi-temporal landsat imagery th..:

Sánchez-Ruiz, Sergio ; Moreno-Martínez, Álvaro ; Izquierdo-Verdiguier, Emma...
International Journal of Applied Earth Observation and Geoinformation. 83 (2019) - p. 101913 , 2019

Link: https://doi.org/10.1016/..

14

Global Estimation of Biophysical Variables from Google Eart..:

Campos-Taberner, Manuel ; Moreno-Martínez, Álvaro ; García-Haro, Francisco Javier...
Remote Sensing. 10 (2018) 8 - p. 1167 , 2018

Link: https://doi.org/10.3390/..

15

A methodology to derive global maps of leaf traits using re..:

Moreno-Martínez, Álvaro ; Camps-Valls, Gustau ; Kattge, Jens...
Remote Sensing of Environment. 218 (2018) - p. 69-88 , 2018

Link: https://doi.org/10.1016/..