| Review and discussion of homogenisation methods for climate data S Ribeiro, J Caineta, AC Costa Physics and Chemistry of the Earth, Parts A/B/C 94, 167-179, 2016 | 70 | 2016 |
| Global assessment of groundwater sustainability based on storage anomalies BF Thomas, J Caineta, J Nanteza Geophysical Research Letters 44 (22), 11,445-11,455, 2017 | 65 | 2017 |
| Detection of inhomogeneities in precipitation time series in Portugal using direct sequential simulation S Ribeiro, J Caineta, AC Costa, R Henriques, A Soares Atmospheric research 171, 147-158, 2016 | 24 | 2016 |
| gsimcli: a geostatistical procedure for the homogenisation of climatic time series S Ribeiro, J Caineta, AC Costa, R Henriques International Journal of Climatology 37 (8), 3452-3467, 2017 | 5 | 2017 |
| Automated in-season rice crop mapping using Sentinel time-series data and Google Earth Engine: A case study in climate-risk prone Bangladesh V Tiwari, MG Tulbure, J Caineta, MD Gaines, V Perin, M Kamal, ... Journal of Environmental Management 351, 119615, 2024 | 3 | 2024 |
| Applying Spatial Bootstrap and Bayesian Update in uncertainty assessment at oil reservoir appraisal stages J Caineta arXiv preprint arXiv:1702.04450, 2017 | 3 | 2017 |
| Submarine groundwater discharge detection through remote sensing: An application of Landsat 7 and 8 in Hawaiʻi and Ireland J Caineta, BF Thomas, DJ Bain Remote Sensing of Environment 279, 113109, 2022 | 2 | 2022 |
| Exploring links between sea surface temperature and color in coastal areas under the effect of submarine groundwater discharge J Caineta, BF Thomas AGU Fall Meeting Abstracts 2018, H32B-07, 2018 | 2 | 2018 |
| Establishment of Detection and Correction Parameters for a Geostatistical Homogenisation Approach S Ribeiro, J Caineta, AC Costa, A Soares Procedia Environmental Sciences 27, 83-88, 2015 | 2 | 2015 |
| Workflow for the homogenisation of climate data using geostatistical simulation J Caineta, S Ribeiro, A Soares, AC Costa Conference Proceedings of the 15th SGEM GeoConference on Informatics …, 2015 | 2 | 2015 |
| A package for the homogenisation of climate data using geostatistical simulation J Caineta, S Ribeiro, R Henriques, AC Costa GEOProcessing 2015: The Seventh International Conference on Advanced …, 2015 | 2 | 2015 |
| Analysing the detection and correction parameters in the homogenisation of climate data series using gsimcli S Ribeiro, J Caineta, AC Costa, R Henriques The 18th AGILE International Conference on Geographic Information Science …, 2015 | 1 | 2015 |
| Inhomogeneities detection in annual precipitation time series in Portugal using direct sequential simulation J Caineta, S Ribeiro, AC Costa, R Henriques, A Soares EGU General Assembly Conference Abstracts 16, 7849, 2014 | 1 | 2014 |
| Advantages and applicability of commonly used homogenisation methods for climate data S Ribeiro, J Caineta, R Henriques, A Soares, AC Costa EGU General Assembly Conference Abstracts 16, 7725, 2014 | 1 | 2014 |
| Benchmarking a geostatistical procedure for the homogenisation of annual precipitation series J Caineta, S Ribeiro, R Henriques, A Soares, AC Costa EGU General Assembly Conference Abstracts, 7605, 2014 | 1 | 2014 |
| Quantifying Urban Flood Extent Using Satellite Imagery and Random Forest: A Case Study in Southeastern Pennsylvania R Composto, MG Tulbure, V Tiwari, MD Gaines, J Caineta | | 2024 |
| Comparing Remotely Sensed Surface Water Areas Between Moderate-and High-Resolution Data Products to Assess Uncertainty in Machine Machine Learning-Projected Surface Water Area M Gaines, MG Tulbure, V Perin, J Caineta, V Tiwari, R Composto AGU23, 2023 | | 2023 |
| Deep learning spatial, spectral and temporal features for global flood mapping J Caineta, MG Tulbure AGU23, 2023 | | 2023 |
| Quantifying and Downscaling Methane Concentration from Winter Rice Fields in Bangladesh using Satellite Data and Machine Learning approach V Tiwari, MG Tulbure, J Caineta, M Gaines, R Composto AGU23, 2023 | | 2023 |
| Quantifying Flood Extent Using Satellite Imagery and Machine Learning after Hurricane Ida in Pennsylvania R Composto, MG Tulbure, V Tiwari, M Gaines, J Caineta AGU23, 2023 | | 2023 |
Ana Cristina CostaNOVA IMS, Universidade Nova de Lisboa在 novaims.unl.pt 的电子邮件经过验证
