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Satellite Altimetry-based Extension of global-scale in situ river discharge M...
The Satellite Altimetry-based Extension of global-scale in situ river discharge Measurements (SAEM) dataset provides a comprehensive solution for addressing gaps in river... -
Remote Sensing-Based Extension of GRDC River Discharge Time Series
The quantification of river discharge is essential for understanding global freshwater dynamics. However, the Global Runoff Data Center (GRDC) dataset has faced a decline in the... -
Replication Data for: Quantum-assisted distortion-free audio signal sensing
Datasets to reproduce all plots in the paper. Each spreadsheet contains the horizontal and vertical data of a subfigure. The first few lines describe the axis legends and the... -
Aerial images collected by an Unmanned Aerial Vehicle in Hermitage, Réunion -...
This dataset was collected by an Unmanned Aerial Vehicle in Hermitage, Réunion - 2023-12-01. Underwater or aerial images collected by scientists or citizens can have a wide... -
SMOS ARCTIC SSS L3 maps produced by CATDS CEC LOCEAN
LOCEAN, LOPS, AARI and ACRI-ST have derived improved SMOS SSS maps over the Arctic Ocean based on new SST corrections and new sea ice filtering applied to SSS retrieved from... -
Satellite Altimetry-based Extension of global-scale in situ river discharge M...
The Satellite Altimetry-based Extension of global-scale in situ river discharge Measurements (SAEM) dataset provides a comprehensive solution for addressing gaps in river... -
Remote Sensing-Based Extension of GRDC River Discharge Time Series
The quantification of river discharge is essential for understanding global freshwater dynamics. However, the Global Runoff Data Center (GRDC) dataset has faced a decline in the... -
Replication Data for: Quantum-assisted distortion-free audio signal sensing
Datasets to reproduce all plots in the paper. Each spreadsheet contains the horizontal and vertical data of a subfigure. The first few lines describe the axis legends and the... -
Remote Sensing Indicators: Forest Cover
Predicted monthly forest cover dataset in a spatial resolution of 1 x 1 km based on MODIS and AVHRR datasets. For predicting the retrospective forest cover values the STARFM... -
Remote Sensing Indicators: Land Surface Albedo
Monthly prediction of Land Surface Albedo in a spatial resolution of 1 km x 1 km based on MODIS and AVHRR datasets. for the prediction of the retrospective albedo values the... -
Remote Sensing Indicators: Plant Functional Types
Monthly prediction of 14 Plant Funtional Types (PFTs) in a spatial resolution of 1 x 1 km based on MODIS, AVHRR and GLC FCS30D datasets. For predicting the retrospective PFT... -
Remote Sensing Indicators: Vegetation Cover
Predicted monthly vegetation cover dataset in a spatial resolution of 1 x 1 km based on MODIS and AVHRR datasets. For predicting the retrospective vegetation cover classes the... -
Remote Sensing Indicators: Normalized Difference Vegetation Index (NDVI)
Predicted monthly Normalized Difference Vegetation Index (NDVI) dataset in a spatial resolution of 1 x 1 km based on MODIS and AVHRR datasets. For predicting the restrospective... -
Remote Sensing Indicators: Leaf Area Index (LAI)
Predicted monthly Leaf Area Index (LAI) dataset in a spatial resolution of 1 x 1 km based on MODIS and AVHRR datasets. For predicting the retrospective LAI values the STARFM... -
UAV-based Remote Sensing of Grasslands
These are the slides for a talk given at the 2024 UAV workshop held from 30.09. - 1.10.2024 at the University of Cologne. -
UAV-based SAR Sensing of Vegetation — Status Quo
These are the slides for a talk given at the 2024 UAV workshop held from 30.09. - 1.10.2024 at the University of Cologne. -
UAV-Based Remote Sensing — Improve efficiency through sampling missions
These are the slides for a talk given at the 2024 UAV workshop held from 30.09. - 1.10.2024 at the University of Cologne. -
UAV-based Remote Sensing of Forest Traits and Biodiversity
These are the slides for a talk given at the 2024 UAV workshop held from 30.09. - 1.10.2024 at the University of Cologne. -
UAV-based Remote Sensing of Crops — Bridging the Gap to Earth Observation
These are the slides for a talk given at the 2024 UAV workshop held from 30.09. - 1.10.2024 at the University of Cologne. -
UAV-based remote sensing to support sustainable crop production
These are the slides for a talk given at the 2024 UAV workshop held from 30.09. - 1.10.2024 at the University of Cologne.