These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

148 related articles for article (PubMed ID: 36017157)

  • 1. Prototyping Crop Traits Retrieval Models for CHIME: Dimensionality Reduction Strategies Applied to PRISMA Data.
    Pascual-Venteo AB; Portalés E; Berger K; Tagliabue G; Garcia JL; Pérez-Suay A; Rivera-Caicedo JP; Verrelst J
    Remote Sens (Basel); 2022 May; 14(10):2448. PubMed ID: 36017157
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Hybrid retrieval of crop traits from multi-temporal PRISMA hyperspectral imagery.
    Tagliabue G; Boschetti M; Bramati G; Candiani G; Colombo R; Nutini F; Pompilio L; Rivera-Caicedo JP; Rossi M; Rossini M; Verrelst J; Panigada C
    ISPRS J Photogramm Remote Sens; 2022 May; 187():362-377. PubMed ID: 36093126
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Mapping landscape canopy nitrogen content from space using PRISMA data.
    Verrelst J; Rivera-Caicedo JP; Reyes-Muñoz P; Morata M; Amin E; Tagliabue G; Panigada C; Hank T; Berger K
    ISPRS J Photogramm Remote Sens; 2021 Aug; 178():382-395. PubMed ID: 36203652
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Gaussian processes retrieval of crop traits in Google Earth Engine based on Sentinel-2 top-of-atmosphere data.
    Estévez J; Salinero-Delgado M; Berger K; Pipia L; Rivera-Caicedo JP; Wocher M; Reyes-Muñoz P; Tagliabue G; Boschetti M; Verrelst J
    Remote Sens Environ; 2022 May; 273():112958. PubMed ID: 36081832
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Quantifying Fundamental Vegetation Traits over Europe Using the Sentinel-3 OLCI Catalogue in Google Earth Engine.
    Reyes-Muñoz P; Pipia L; Salinero-Delgado M; Belda S; Berger K; Estévez J; Morata M; Rivera-Caicedo JP; Verrelst J
    Remote Sens (Basel); 2022 Mar; 14(6):1347. PubMed ID: 36016907
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Quantifying vegetation biophysical variables from the Sentinel-3/FLEX tandem mission: Evaluation of the synergy of OLCI and FLORIS data sources.
    De Grave C; Verrelst J; Morcillo-Pallarés P; Pipia L; Rivera-Caicedo JP; Amin E; Belda S; Moreno J
    Remote Sens Environ; 2020 Dec; 251():. PubMed ID: 36082362
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Assessing Non-Photosynthetic Cropland Biomass from Spaceborne Hyperspectral Imagery.
    Berger K; Hank T; Halabuk A; Rivera-Caicedo JP; Wocher M; Mojses M; Gerhátová K; Tagliabue G; Dolz MM; Venteo ABP; Verrelst J
    Remote Sens (Basel); 2021 Nov; 13(22):4711. PubMed ID: 36082004
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Retrieval of carbon content and biomass from hyperspectral imagery over cultivated areas.
    Wocher M; Berger K; Verrelst J; Hank T
    ISPRS J Photogramm Remote Sens; 2022 Nov; 193():104-114. PubMed ID: 36643957
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Evaluation of Hybrid Models to Estimate Chlorophyll and Nitrogen Content of Maize Crops in the Framework of the Future CHIME Mission.
    Candiani G; Tagliabue G; Panigada C; Verrelst J; Picchi V; Caicedo JPR; Boschetti M
    Remote Sens (Basel); 2022 Apr; 14(8):1792. PubMed ID: 36081596
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Top-of-Atmosphere Retrieval of Multiple Crop Traits Using Variational Heteroscedastic Gaussian Processes within a Hybrid Workflow.
    Estévez J; Berger K; Vicent J; Rivera-Caicedo JP; Wocher M; Verrelst J
    Remote Sens (Basel); 2021 Apr; 13(8):1589. PubMed ID: 36082340
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Assessment of maize nitrogen uptake from PRISMA hyperspectral data through hybrid modelling.
    Ranghetti M; Boschetti M; Ranghetti L; Tagliabue G; Panigada C; Gianinetto M; Verrelst J; Candiani G
    Eur J Remote Sens; 2023 Dec; 56(1):. PubMed ID: 38239331
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A Survey of Active Learning for Quantifying Vegetation Traits from Terrestrial Earth Observation Data.
    Berger K; Caicedo JPR; Martino L; Wocher M; Hank T; Verrelst J
    Remote Sens (Basel); 2021 Jan; 13(2):287. PubMed ID: 36081683
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Comparison of Crop Trait Retrieval Strategies Using UAV-Based VNIR Hyperspectral Imaging.
    Abdelbaki A; Schlerf M; Retzlaff R; Machwitz M; Verrelst J; Udelhoven T
    Remote Sens (Basel); 2021 Apr; 13(9):1748. PubMed ID: 36081647
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Gaussian processes retrieval of LAI from Sentinel-2 top-of-atmosphere radiance data.
    Estévez J; Vicent J; Rivera-Caicedo JP; Morcillo-Pallarés P; Vuolo F; Sabater N; Camps-Valls G; Moreno J; Verrelst J
    ISPRS J Photogramm Remote Sens; 2020 Sep; 167():289-304. PubMed ID: 36082068
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Seasonal Mapping of Irrigated Winter Wheat Traits in Argentina with a Hybrid Retrieval Workflow Using Sentinel-2 Imagery.
    Caballero G; Pezzola A; Winschel C; Casella A; Angonova PS; Rivera-Caicedo JP; Berger K; Verrelst J; Delegido J
    Remote Sens (Basel); 2022 Sep; 14(18):4531. PubMed ID: 36186714
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Retrieval of aboveground crop nitrogen content with a hybrid machine learning method.
    Berger K; Verrelst J; Féret JB; Hank T; Wocher M; Mauser W; Camps-Valls G
    Int J Appl Earth Obs Geoinf; 2020 Oct; 92():102174. PubMed ID: 36090128
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Monitoring Cropland Phenology on Google Earth Engine Using Gaussian Process Regression.
    Salinero-Delgado M; Estévez J; Pipia L; Belda S; Berger K; Gómez VP; Verrelst J
    Remote Sens (Basel); 2021 Dec; 14(1):146. PubMed ID: 36081813
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Hybrid inversion of radiative transfer models based on high spatial resolution satellite reflectance data improves fractional vegetation cover retrieval in heterogeneous ecological systems after fire.
    Fernández-Guisuraga JM; Verrelst J; Calvo L; Suárez-Seoane S
    Remote Sens Environ; 2021 Mar; 255():. PubMed ID: 36081599
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Potential of DESIS and PRISMA hyperspectral remote sensing data in rock classification and mineral identification:a case study for Banswara in Rajasthan, India.
    Tripathi P; Garg RD
    Environ Monit Assess; 2023 Apr; 195(5):575. PubMed ID: 37060427
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Accurate estimation of sorghum crop water content under different water stress levels using machine learning and hyperspectral data.
    Tunca E; Köksal ES; Öztürk E; Akay H; Çetin Taner S
    Environ Monit Assess; 2023 Jun; 195(7):877. PubMed ID: 37353582
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.