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.
150 related articles for article (PubMed ID: 36082106)
1. Green LAI Mapping and Cloud Gap-Filling Using Gaussian Process Regression in Google Earth Engine. Pipia L; Amin E; Belda S; Salinero-Delgado M; Verrelst J Remote Sens (Basel); 2021 Jan; 13(3):403. PubMed ID: 36082106 [TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. 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]
6. Fusing optical and SAR time series for LAI gap fillingwith multioutput Gaussian processes. Pipia L; Muñoz-Marí J; Amin E; Belda S; Camps-Valls G; Verrelst J Remote Sens Environ; 2019 Dec; 235():. PubMed ID: 36082234 [TBL] [Abstract][Full Text] [Related]
7. DATimeS: A machine learning time series GUI toolbox for gap-filling and vegetation phenology trends detection. Belda S; Pipia L; Morcillo-Pallarés P; Rivera-Caicedo JP; Amin E; De Grave C; Verrelst J Environ Model Softw; 2020 May; 127():. PubMed ID: 36081485 [TBL] [Abstract][Full Text] [Related]
8. Optimizing Gaussian Process Regression for Image Time Series Gap-Filling and Crop Monitoring. Belda S; Pipia L; Morcillo-Pallarés P; Verrelst J Agronomy (Basel); 2020 Apr; 10(5):618. PubMed ID: 36081839 [TBL] [Abstract][Full Text] [Related]
9. Prototyping Sentinel-2 green LAI and brown LAI products for cropland monitoring. Amin E; Verrelst J; Rivera-Caicedo JP; Pipia L; Ruiz-Verdú A; Moreno J Remote Sens Environ; 2021 Mar; 255():. PubMed ID: 36060228 [TBL] [Abstract][Full Text] [Related]
10. Estimating the phenological dynamics of irrigated rice leaf area index using the combination of PROSAIL and Gaussian Process Regression. Adeluyi O; Harris A; Verrelst J; Foster T; Claya GD Int J Appl Earth Obs Geoinf; 2021 Oct; 102():102454. PubMed ID: 36092369 [TBL] [Abstract][Full Text] [Related]
11. Estimation of Multi-Species Leaf Area Index Based on Chinese GF-1 Satellite Data Using Look-Up Table and Gaussian Process Regression Methods. Zhang Y; Yang J; Liu X; Du L; Shi S; Sun J; Chen B Sensors (Basel); 2020 Apr; 20(9):. PubMed ID: 32357470 [TBL] [Abstract][Full Text] [Related]
12. 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]
13. Quantifying Irrigated Winter Wheat LAI in Argentina Using Multiple Sentinel-1 Incidence Angles. Caballero G; Pezzola A; Winschel C; Casella A; Angonova PS; Orden L; Berger K; Verrelst J; Delegido J Remote Sens (Basel); 2022 Nov; 14(22):5867. PubMed ID: 36644377 [TBL] [Abstract][Full Text] [Related]
14. Using the Negative Soil Adjustment Factor of Soil Adjusted Vegetation Index (SAVI) to Resist Saturation Effects and Estimate Leaf Area Index (LAI) in Dense Vegetation Areas. Zhen Z; Chen S; Yin T; Chavanon E; Lauret N; Guilleux J; Henke M; Qin W; Cao L; Li J; Lu P; Gastellu-Etchegorry JP Sensors (Basel); 2021 Mar; 21(6):. PubMed ID: 33803032 [TBL] [Abstract][Full Text] [Related]
15. Multi-Season Phenology Mapping of Nile Delta Croplands Using Time Series of Sentinel-2 and Landsat 8 Green LAI. Amin E; Belda S; Pipia L; Szantoi Z; El Baroudy A; Moreno J; Verrelst J Remote Sens (Basel); 2022 Apr; 14(8):1812. PubMed ID: 36081597 [TBL] [Abstract][Full Text] [Related]
16. 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]
17. Estimation of leaf area index using PROSAIL based LUT inversion, MLRA-GPR and empirical models: Case study of tropical deciduous forest plantation, North India. Sinha SK; Padalia H; Dasgupta A; Verrelst J; Rivera JP Int J Appl Earth Obs Geoinf; 2020 Apr; 86():102027. PubMed ID: 36081897 [TBL] [Abstract][Full Text] [Related]
19. Rapid and Automated Approach for Early Crop Mapping Using Sentinel-1 and Sentinel-2 on Google Earth Engine; A Case of a Highly Heterogeneous and Fragmented Agricultural Region. Saad El Imanni H; El Harti A; Hssaisoune M; Velastegui-Montoya A; Elbouzidi A; Addi M; El Iysaouy L; El Hachimi J J Imaging; 2022 Nov; 8(12):. PubMed ID: 36547481 [TBL] [Abstract][Full Text] [Related]
20. Leveraging Google Earth Engine platform to characterize and map small seasonal wetlands in the semi-arid environments of South Africa. Gxokwe S; Dube T; Mazvimavi D Sci Total Environ; 2022 Jan; 803():150139. PubMed ID: 34525685 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]