SIHAM TABIK OULED HROUR-rekin lankidetzan egindako argitalpenak (15)

2024

  1. Automated precise seeding with drones and artificial intelligence: a workflow

    Restoration Ecology

  2. Bidirectional Recurrent Imputation and Abundance Estimation of LULC Classes With MODIS Multispectral Time-Series and Geo-Topographic and Climatic Data

    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 17, pp. 4626-4645

2023

  1. Forest restoration is more than firing seeds from a drone

    Restoration Ecology, Vol. 31, Núm. 1

  2. What is the best RNN-cell structure to forecast each time series behavior?

    Expert Systems with Applications, Vol. 215

2022

  1. Classifying the content of social media images to support cultural ecosystem service assessments using deep learning models

    Ecosystem Services, Vol. 54

  2. Climate legacies drive the distribution and future restoration potential of dryland forests

    Nature Plants, Vol. 8, Núm. 8, pp. 879-886

  3. Sentinel2GlobalLULC: A Sentinel-2 RGB image tile dataset for global land use/cover mapping with deep learning

    Scientific Data

  4. TimeSpec4LULC: a global multispectral time series database for training LULC mapping models with machine learning

    Earth System Science Data

2021

  1. Mask R-CNN and OBIA fusion improves the segmentation of scattered vegetation in very high-resolution optical sensors

    Sensors (Switzerland), Vol. 21, Núm. 1, pp. 1-17

  2. Olive tree biovolume from uav multi-resolution image segmentation with mask r-cnn

    Sensors, Vol. 21, Núm. 5, pp. 1-17

2020

  1. Tree cover estimation in global drylands from space using deep learning

    Remote Sensing, Vol. 12, Núm. 3

2019

  1. Detection of fir trees (Abies sibirica) damaged by the bark beetle in unmanned aerial vehicle images with deep learning

    Remote Sensing, Vol. 11, Núm. 6

  2. Whale counting in satellite and aerial images with deep learning

    Scientific Reports, Vol. 9, Núm. 1

2017

  1. Deep-learning Versus OBIA for scattered shrub detection with Google Earth Imagery: Ziziphus lotus as case study

    Remote Sensing, Vol. 9, Núm. 12

2010

  1. Evaluating the consistency of the 1982-1999 NDVI trends in the Iberian Peninsula across four time-series derived from the AVHRR sensor: LTDR, GIMMS, FASIR, and PAL-II

    Sensors, Vol. 10, Núm. 2, pp. 1291-1314