Search ga_ls7e_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

59 results

Time (local)	Label
2020-11-06 08:51:35	ga_ls7e_ard_3-1-0_092075_2020-11-05_final
2020-11-06 08:51:59	ga_ls7e_ard_3-1-0_092076_2020-11-05_final
2020-11-06 08:52:23	ga_ls7e_ard_3-1-0_092077_2020-11-05_final
2020-11-06 10:28:04	ga_ls7e_ard_3-1-0_108069_2020-11-06_final
2020-11-06 10:28:52	ga_ls7e_ard_3-1-0_108071_2020-11-06_final
2020-11-06 10:29:16	ga_ls7e_ard_3-1-0_108072_2020-11-06_final
2020-11-06 10:29:40	ga_ls7e_ard_3-1-0_108073_2020-11-06_final
2020-11-06 10:30:04	ga_ls7e_ard_3-1-0_108074_2020-11-06_final
2020-11-06 10:31:16	ga_ls7e_ard_3-1-0_108077_2020-11-06_final
2020-11-06 10:31:40	ga_ls7e_ard_3-1-0_108078_2020-11-06_final
2020-11-06 10:32:28	ga_ls7e_ard_3-1-0_108080_2020-11-06_final
2020-11-06 10:32:51	ga_ls7e_ard_3-1-0_108081_2020-11-06_final
2020-11-06 10:33:15	ga_ls7e_ard_3-1-0_108082_2020-11-06_final
2020-11-06 10:33:39	ga_ls7e_ard_3-1-0_108083_2020-11-06_final
2020-11-06 10:34:03	ga_ls7e_ard_3-1-0_108084_2020-11-06_final
2020-11-07 09:31:35	ga_ls7e_ard_3-1-0_099067_2020-11-07_final
2020-11-07 09:31:59	ga_ls7e_ard_3-1-0_099068_2020-11-07_final
2020-11-07 09:32:23	ga_ls7e_ard_3-1-0_099069_2020-11-07_final
2020-11-07 09:32:47	ga_ls7e_ard_3-1-0_099070_2020-11-07_final
2020-11-07 09:33:11	ga_ls7e_ard_3-1-0_099071_2020-11-07_final
2020-11-07 09:33:35	ga_ls7e_ard_3-1-0_099072_2020-11-07_final
2020-11-07 09:33:59	ga_ls7e_ard_3-1-0_099073_2020-11-07_final
2020-11-07 09:34:23	ga_ls7e_ard_3-1-0_099074_2020-11-07_final
2020-11-07 09:34:47	ga_ls7e_ard_3-1-0_099075_2020-11-07_final
2020-11-07 09:35:10	ga_ls7e_ard_3-1-0_099076_2020-11-07_final
2020-11-07 09:35:34	ga_ls7e_ard_3-1-0_099077_2020-11-07_final
2020-11-07 09:35:58	ga_ls7e_ard_3-1-0_099078_2020-11-07_final
2020-11-07 09:36:22	ga_ls7e_ard_3-1-0_099079_2020-11-07_final
2020-11-07 09:36:46	ga_ls7e_ard_3-1-0_099080_2020-11-07_final
2020-11-07 09:37:10	ga_ls7e_ard_3-1-0_099081_2020-11-07_final
2020-11-07 09:37:34	ga_ls7e_ard_3-1-0_099082_2020-11-07_final
2020-11-07 09:37:58	ga_ls7e_ard_3-1-0_099083_2020-11-07_final
2020-11-07 11:13:15	ga_ls7e_ard_3-1-0_115074_2020-11-07_final
2020-11-07 11:13:39	ga_ls7e_ard_3-1-0_115075_2020-11-07_final
2020-11-07 11:14:03	ga_ls7e_ard_3-1-0_115076_2020-11-07_final
2020-11-07 11:14:27	ga_ls7e_ard_3-1-0_115077_2020-11-07_final
2020-11-07 11:14:51	ga_ls7e_ard_3-1-0_115078_2020-11-07_final
2020-11-07 11:15:15	ga_ls7e_ard_3-1-0_115079_2020-11-07_final
2020-12-04 09:14:43	ga_ls7e_ard_3-1-0_096076_2020-12-03_final
2020-12-04 09:15:07	ga_ls7e_ard_3-1-0_096077_2020-12-03_final
2020-12-04 09:15:31	ga_ls7e_ard_3-1-0_096078_2020-12-03_final
2020-12-04 09:15:55	ga_ls7e_ard_3-1-0_096079_2020-12-03_final
2020-12-04 09:16:19	ga_ls7e_ard_3-1-0_096080_2020-12-03_final
2020-12-04 09:16:43	ga_ls7e_ard_3-1-0_096081_2020-12-03_final
2020-12-04 09:17:07	ga_ls7e_ard_3-1-0_096082_2020-12-03_final
2020-12-04 09:17:31	ga_ls7e_ard_3-1-0_096083_2020-12-03_final
2020-12-04 09:17:55	ga_ls7e_ard_3-1-0_096084_2020-12-03_final
2020-12-04 09:18:19	ga_ls7e_ard_3-1-0_096085_2020-12-03_final
2020-12-04 09:18:43	ga_ls7e_ard_3-1-0_096086_2020-12-03_final
2020-12-04 10:52:48	ga_ls7e_ard_3-1-0_112074_2020-12-04_final
2020-12-04 10:53:12	ga_ls7e_ard_3-1-0_112075_2020-12-04_final
2020-12-04 10:53:36	ga_ls7e_ard_3-1-0_112076_2020-12-04_final
2020-12-04 10:54:00	ga_ls7e_ard_3-1-0_112077_2020-12-04_final
2020-12-04 10:54:24	ga_ls7e_ard_3-1-0_112078_2020-12-04_final
2020-12-04 10:54:48	ga_ls7e_ard_3-1-0_112079_2020-12-04_final
2020-12-04 10:55:12	ga_ls7e_ard_3-1-0_112080_2020-12-04_final
2020-12-04 10:55:36	ga_ls7e_ard_3-1-0_112081_2020-12-04_final
2020-12-04 10:56:00	ga_ls7e_ard_3-1-0_112082_2020-12-04_final
2020-12-04 10:56:24	ga_ls7e_ard_3-1-0_112083_2020-12-04_final

Return to ga_ls7e_ard_3 whole collection overview

ga_ls7e_ard_3: Geoscience Australia Landsat 7 Enhanced Thematic Mapper Plus Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years