Publikationen, an denen er mitarbeitet JUAN MANUEL LOPEZ SANCHEZ (40)

2021

  1. Agriculture and Wetland Applications

    Remote Sensing and Digital Image Processing (Springer Science and Business Media B.V.), pp. 119-178

2020

  1. Sentinel-1 InSAR Coherence for Land Cover Mapping: A Comparison of Multiple Feature-Based Classifiers

    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 13, pp. 535-552

  2. Time-Series of Sentinel-1 Interferometric Coherence and Backscatter for Crop-Type Mapping

    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 13, pp. 4070-4084

2018

  1. Sincohmap: Land-cover and vegetation mapping using multi-temporal sentinel-1 interferometric coherence

    International Geoscience and Remote Sensing Symposium (IGARSS)

2017

  1. Assessing hypertemporal SENTINEL-1 COHERENCE maps for LAND COVER monitoring

    2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images, MultiTemp 2017

  2. INFLUENCE OF INCIDENCE ANGLE AND BASELINE ON THE RETRIEVAL OF BIOPHYSICAL PARAMETERS OF RICE FIELDS BY MEANS OF POLARIMETRIC SAR INTERFEROMETRY WITH TANDEM-X DATA

    2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)

  3. Influence of incidence angle and baseline on the retrieval of biophysical parameters of rice fields by means of polarimetric SAR interferometry with TanDEM-X data

    International Geoscience and Remote Sensing Symposium (IGARSS)

  4. Retrieval of vegetation height in rice fields using polarimetric SAR interferometry with TanDEM-X data

    Remote Sensing of Environment, Vol. 192, pp. 30-44

  5. Tecnología y desarrollo sostenible

    Memorias del Programa de Redes-I3CE de calidad, innovación e investigación en docencia universitaria: Convocatoria 2016-17 (Instituto de Ciencias de la Educación), pp. 1127-1139

2016

  1. A Complete Procedure for Crop Phenology Estimation with PolSAR Data Based on the Complex Wishart Classifier

    IEEE Transactions on Geoscience and Remote Sensing, Vol. 54, Núm. 11, pp. 6505-6515

  2. Contribution to Real-Time Estimation of Crop Phenological States in a Dynamical Framework Based on NDVI Time Series: Data Fusion with SAR and Temperature

    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 9, Núm. 8, pp. 3512-3523

  3. New microwave-based missions applications for rainfed crops characterization

    International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

  4. Particle filter approach for real-time estimation of crop phenological states using time series of NDVI images

    Remote Sensing, Vol. 8, Núm. 7

2015

  1. A Simple RVoG Test for PolInSAR Data

    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 8, Núm. 3, pp. 1028-1040

  2. An optimal combination of a hydrological model and PSI to estimate land subsidence driven by piezometric level changes

    International Geoscience and Remote Sensing Symposium (IGARSS)

  3. Dynamical approach for real-time monitoring of agricultural crops

    IEEE Transactions on Geoscience and Remote Sensing, Vol. 53, Núm. 6, pp. 3278-3293

  4. Estimation of Key Dates and Stages in Rice Crops Using Dual-Polarization SAR Time Series and a Particle Filtering Approach

    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 8, Núm. 3, pp. 1008-1018

  5. Influence of incidence angle on the coherent copolar polarimetric response of rice at X-Band

    IEEE Geoscience and Remote Sensing Letters, Vol. 12, Núm. 2, pp. 249-253

  6. Monitorización de la fenología de cultivos de arroz en tiempo real empleando imágenes de NDVI y filtrado de partículas

    Teledetección, humedales y espacios protegidos: Libro de actas del XVI Congreso de la Asociación Española de Teledetección

  7. Particle filter approach for crop phenological stage estimation using time series of NDVI images

    International Geoscience and Remote Sensing Symposium (IGARSS)