Diego Gómez Aragón-rekin lankidetzan egindako argitalpenak (11)

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

    Agricultural and Forest Meteorology, Vol. 300

  3. 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

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

    Remote Sensing, Vol. 11, Núm. 15