Argitalpenak (141) JOSE LUIS CASANOVA ROQUE argitalpenak

2021

  1. A new approach to monitor water quality in the Menor sea (Spain) using satellite data and machine learning methods

    Environmental Pollution, Vol. 286

  2. Machine learning approach to predict leaf colour change in Fagus sylvatica L. (Spain)

    Agricultural and Forest Meteorology, Vol. 310

  3. Modelling wheat yield with antecedent information, satellite and climate data using machine learning methods in Mexico

    Agricultural and Forest Meteorology, Vol. 300

  4. New spectral indicator Potato Productivity Index based on Sentinel-2 data to improve potato yield prediction: a machine learning approach

    International Journal of Remote Sensing, Vol. 42, Núm. 9, pp. 3430-3448

  5. Prediction of desert locust breeding areas using machine learning methods and SMOS (MIR_SMNRT2) Near Real Time product

    Journal of Arid Environments, Vol. 194

  6. Regional estimation of garlic yield using crop, satellite and climate data in Mexico

    Computers and Electronics in Agriculture, Vol. 181

2020

  1. An empirical radiometric intercomparison methodology based on global simultaneous nadir overpasses applied to landsat 8 and sentinel-2

    Remote Sensing, Vol. 12, Núm. 17

  2. Analyzing ice dynamics using Sentinel-1 data at the Solheimajoküll Glacier, Iceland

    GIScience and Remote Sensing, Vol. 57, Núm. 6, pp. 813-829

  3. Estimation of potato yield using satellite data at a municipal level: A machine learning approach

    ISPRS International Journal of Geo-Information, Vol. 9, Núm. 6

  4. Modelling desert locust presences using 32-year soil moisture data on a large-scale

    Ecological Indicators, Vol. 117

2019

  1. Analysis of spatial and temporal variability in libya-4 with landsat 8 and sentinel-2 data for optimized ground target location

    Remote Sensing, Vol. 11, Núm. 24

  2. Desert locust detection using Earth observation satellite data in Mauritania

    Journal of Arid Environments, Vol. 164, pp. 29-37

  3. Detección de condiciones favorables para la langosta del desierto (Schistocerca gregaria) mediante modelos de distribución de especies

    Teledetección: hacia una visión global del cambio climático

  4. Detección de zonas potenciales de cría de la langosta del desierto (Schistocerca gregaria)

    Teledetección: hacia una visión global del cambio climático

  5. Downscaling estadístico del servicio CAMS para la predicción de radiación solar global con datos Meteosat y técnicas de aprendizaje máquina

    Teledetección: hacia una visión global del cambio climático

  6. Potato yield prediction using machine learning techniques and Sentinel 2 data

    Remote Sensing, Vol. 11, Núm. 15

2018

  1. Detecting areas vulnerable to sand encroachment using remote sensing and GIS techniques in Nouakchott, Mauritania

    Remote Sensing, Vol. 10, Núm. 10

  2. Machine learning approach to locate desert locust breeding areas based on ESA CCI soil moisture

    Journal of Applied Remote Sensing, Vol. 12, Núm. 3

2017

  1. Efficient prediction of total column ozone based on support vector regression algorithms, numerical models and Suomi-satellite data

    Atmosfera, Vol. 30, Núm. 1, pp. 1-10

2016

  1. Developing fire detection algorithms by geostationary orbiting platforms and machine learning techniques

    European Space Agency, (Special Publication) ESA SP