| dataFormat | NetCDF |
| authority | edu.ucar.gdex |
| featureType | GRID |
| dataSize | 8491962979 |
| id | files/d539393/low_resolution/data/lresgrid_KDEN.nc |
Dataset: lresgrid_KDEN.nc
Catalog: /thredds/catalog/files/d539393/low_resolution/data/catalog.html
Access:
| Service | Type | Description |
|---|---|---|
| OpenDAP | Data Access | Access dataset through OPeNDAP using the DAP2 protocol. |
| NetcdfSubset | Data Access | A web service for subsetting CDM scientific grid datasets. |
| CdmRemote | Data Access | Provides index subsetting on remote CDM datasets, using ncstream. |
| CdmrFeature | Data Access | Provides coordinate subsetting on remote CDM Feature Datasets, using ncstream. |
| WCS | Data Access | Supports access to geospatial data as 'coverages'. |
| WMS | Data Access | Supports access to georegistered map images from geoscience datasets. |
| HTTPServer | Data Access | HTTP file download. |
| ISO | Metadata | Provide ISO 19115 metadata representation of a dataset's structure and metadata. |
| NCML | Metadata | Provide NCML representation of a dataset. |
| UDDC | Metadata | An evaluation of how well the metadata contained in the dataset conforms to the NetCDF Attribute Convention for Data Discovery (NACDD) |
Viewers:
| Viewer | Type | Description |
|---|---|---|
| Godiva3 | Browser | |
| default_viewer.ipynb | Jupyter Notebook | The TDS default viewer attempts to plot any Variable contained in the Dataset. |
Description:
- Rights: Freely Available
- summary: With over 80% of the United States' population living in urban areas, it is critical to advance our understanding and real-time / near-real-time observational capabilities of the environments where most humans live. Recent advances in artificial intelligence present new opportunities to leverage the extensive and disparate amounts of data available to model urban heat. Our dataset leverages remotely sensed images, which provide the benefit of extensive spatial coverage. There are two modalities in the dataset, of varying resolution. The first modality contains observations at an 8-day temporal resolution and at a 30 m spatial resolution, as modulated by the Landsat 8 and 9 satellites. Landsat data included in these files consist of land surface temperature, visible and near-infrared surface reflectances for land surface characterization, and the pixel quality mask for cloud detection. Also included in these files are Sentinel-1 SAR backscatter values to quantify surface roughness. Sentinel-1 observations are resampled to Landsat resolution for inclusion in the dataset. The second modality contains observations at a 10-minute temporal resolution and at a 2 km spatial resolution, as modulated by the GOES-16, 17, and 18 satellites. GOES longwave infrared brightness temperatures are provided to measure the thermal environment of the surface over time. Also included in these files is a microwave land surface temperature product to provide temperature observations amidst cloudy weather.
- NCAR GDEX - Urban Heat MiniCubes(d539393)
Dates:
- modified : 2026-06-04T16:26:32.932Z
Publishers:
-
NCAR/GDEX
- email: datahelp@ucar.edu
- http://gdex.ucar.edu/