- 标题
- 摘要
- 关键词
- 实验方案
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The Use of Multisource Optical Sensors to Study Phytoplankton Spatio-Temporal Variation in a Shallow Turbid Lake
摘要： Lake water quality monitoring has the potential to be improved through integrating detailed spatial information from new generation remote sensing satellites with high frequency observations from in situ optical sensors (WISPstation). We applied this approach for Lake Trasimeno with the aim of increasing knowledge of phytoplankton dynamics at di?erent temporal and spatial scales. High frequency chlorophyll-a data from the WISPstation was modeled using non-parametric multiplicative regression. The ‘day of year’ was the most important factor, re?ecting the seasonal progression of a phytoplankton bloom from July to September. In addition, weather factors such as the east–west wind component were also signi?cant in predicting phytoplankton seasonal and diurnal patterns. Sentinel 3-OLCI and Sentinel 2-MSI satellites delivered 42 images in 2018 that successfully mapped the spatial and seasonal change in chlorophyll-a. The potential in?uence of localized in?ows in contributing to increased chlorophyll-a in mid-summer was visualized. The satellite data also allowed an estimation of quality status at a much ?ner scale than traditional manual methods. Good correspondence was found with manually collected ?eld data but more signi?cantly, the greatly increased spatial and temporal resolution provided by satellite and WISPstation sensors clearly o?ers an unprecedented resource in the research and management of aquatic resources.
关键词： remote sensing,WISPstation,water monitoring,chlorophyll-a,Sentinel-2 MSI,Sentinel-3 OLCI
更新于2025-09-23 15:19:57
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Validation of the Sentinel-3 Ocean and Land Colour Instrument (OLCI) Terrestrial Chlorophyll Index (OTCI): Synergetic Exploitation of the Sentinel-2 Missions
摘要： Continuity to the Medium Resolution Imaging Spectrometer (MERIS) Terrestrial Chlorophyll Index (MTCI) will be provided by the Sentinel-3 Ocean and Land Colour Instrument (OLCI), and to ensure its utility in a wide range of operational applications, validation efforts are required. In the past, these activities have been constrained by the need for costly airborne hyperspectral data acquisition, but the Sentinel-2 Multispectral Instrument (MSI) now offers a promising alternative. In this paper, we explore the synergetic use of Sentinel-2 MSI data for validation of the Sentinel-3 OLCI Terrestrial Chlorophyll Index (OTCI) over the Valencia Anchor Station, a large agricultural site in the Valencian Community, Spain. High retrieval accuracy (RMSE = 0.20 g m-2) was obtained by applying machine learning techniques to Sentinel-2 MSI data, highlighting the valuable information it can provide when used in synergy with Sentinel-3 OLCI data for land product validation.
关键词： validation,Vegetation biophysical variables,Sentinel-2,Sentinel-3,canopy chlorophyll content
更新于2025-09-11 14:15:04
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Inter-Sensor Regression Analysis for Operational Sentinel-2 and Sentinel-3 Data Products
摘要： The relatively recent availability of operational products from Sentinel-2 and Sentinel-3 missions gives widespread opportunities to combine data collected from different sensors in order to provide products of a higher processing level. Nonetheless, the availability of these products may be affected by multiple factors, such as cloud occlusions, band saturation, geolocation errors or even misaligned detectors. All these anomalies affecting remote sensing data may eventually limit the accessibility to fused products because some of the required information may become partially unavailable for specific areas of interest. In this scenario, the work presented here aims at analyzing the effectiveness of several state-of-the-art regression models in order to restore Sentinel-3 products with partial anomalies from Sentinel-2 integral data. In particular this work investigates three regression methods, two linear-regression method and a non-linear artificial neural networks based method. Obtained results prove that the non-linear approach and linear RIDGE method are able to carry out a good estimation of S3 from S2 data.
关键词： Sentinel-2 (S2),Data Regression,Remote Sensing,Sentinel-3 (S3),Product Restoration
更新于2025-09-10 09:29:36
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Validation of Fine Resolution Land-Surface Energy Fluxes Derived with Combined Sentinel-2 and Sentinel-3 Observations
摘要： A methodology for deriving land-surface energy fluxes estimated with the use of Sentinel-2 and Sentinel-3 observations is validated in a savannah landscape in central Spain. The fluxes are derived at two spatial resolution: fine (20m) and coarse (around 1km). At both resolutions the thermal observations from Sea and Land Surface Temperature Radiometer (SLSTR) on Sentinel-3 and optical observations from Multi-Spectral Instrument (MSI) on Sentinel-2 are used within a Two-Source Energy Balance (TSEB) modelling scheme. For the fine resolution estimates, the thermal observations acquired by SLSTR at around 1km resolution are sharpened using high-resolution (20m) optical observations taken by MSI and a machine learning algorithm. The results indicate that it is possible to derive fluxes with similar accuracy at both spatial scales, while obtaining more detailed separation of fluxes originating from individual landscape features at the fine scale.
关键词： machine learning,Sentinel-2,land-surface energy fluxes,Sentinel-3,thermal sharpening
更新于2025-09-10 09:29:36
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Atmospheric Correction Icor and Integration in Operational Workflows
摘要： iCOR is a scene and sensor generic atmospheric correction algorithm which can process images containing land and coastal, inland or transitional water pixels. The tool is adaptable with minimal efforts to hyper- or multi-spectral sensors. iCOR has been extensively validated for Landsat-8 OLI, Sentinel-2 MSI and Proba-V and is now being developed for Sentinel-3 OLCI. It has been developed in such a way that it can be easily integrated in an operational workflow. Three examples of the integration in an operational workflow are presented, the Highroc processor for coastal waters, the Belgian collaborative ground segment TERRASCOPE and the WATCHITGROW service for the potato industry.
关键词： workflow,Sentinel-3,Proba-V,Landsat-8,Sentinel-2,iCOR,correction,atmospheric
更新于2025-09-10 09:29:36
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Snow Cover Monitoring by Synergistic Use of Sentinel-3 Slstr and Sentinel-L Sar Data
摘要： The Sentinel satellite missions of the European Copernicus programme provide comprehensive data for long-term routine observations of the global environment. A key parameter for climate monitoring, hydrology and water management is the seasonal snow cover. We developed, implemented and tested a novel approach for monitoring snow extent and snowmelt area, exploiting the synergy of imaging radar of the Sentinel-1 mission and multispectral optical imagery of the SLSTR sensor on Sentinel-3. We describe the processing steps and algorithms for generating the synergistic snow cover product and show examples for snow cover maps over Europe based on single mission data as well as the final synergistic product.
关键词： Sentinel-1,snow melt area,Copernicus programme,Snow extent,Sentinel-3
更新于2025-09-10 09:29:36
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Adaptation and Validation of the Swire Algorithm for Sentinel-3 Over Complex Waters of Pearl River Estuary
摘要： Accurate removal of atmospheric interference and precise retrieval of water-leaving reflectance is decisive for subsequent water color applications. As follow-up satellite of Envisat, Sentinel-3 will provide valuable observations of the earth. This study aims to adapt the shortwave infrared extrapolation (SWIRE) atmospheric correction algorithm for Sentinel-3 to derive remote sensing reflectance of turbid waters, and validation it using our in-situ data in Pearl River Estuary. Results showed that SWIRE algorithm could effectively remove atmospheric perturbations, and produced more accurate remote sensing reflectance over complex waters of PRE than NIR and SWIR algorithms.
关键词： Pearl River Estuary,water color remote sensing,atmospheric correction,Sentinel-3
更新于2025-09-09 09:28:46
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - OLCI/SLSTR SYN L2 Algorithm and Products Overview
摘要： The Sentinel-3 SYNERGY (SYN) processing branch has been designed as a combination of the acquisition of the two optical instruments, the Ocean and Land Color Instrument (OLCI) and the Sea and Land Surface Temperature Radiometer (SLSTR), with the main objective to provide surface vegetation products similar to those obtained from the VEGETATION instrument on SPOT. Synergistic and collocated measurements from both OLCI and SLSTR are ingested in an aerosol retrieval module. Then for each 300m pixel, Aerosol optical thickness data and Surface directional reflectances are retrieved and outputted in S3 SYNERGY L2 products. A description of the whole processing chain from OLCI/SLSTR L1 products to SYN L2 ones will be provided followed by a detailed description of the SYN L2 products. Quality assessment of these products, performed by the S3 MPC consortium and using in situ comparisons with AERONET data and with PROBA-V data will be discussed. Finally, a third section will be dedicated to the development of a future global aerosol products and the possible evolutions of this SYNERGY processing branch. More details about the whole S3 algorithms and products can be found in the Sentinel 3 Handbook [1]
关键词： Land products,Synergy,Sentinel-3,Aerosol parameters,collocated measurements
更新于2025-09-04 15:30:14