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

First 100 results (query limit)

Time (local)	Label
2020-08-06 10:09:21	ga_ls7e_ard_3-1-0_104069_2020-08-06_final
2020-08-06 10:09:44	ga_ls7e_ard_3-1-0_104070_2020-08-06_final
2020-08-06 10:10:08	ga_ls7e_ard_3-1-0_104071_2020-08-06_final
2020-08-06 10:10:32	ga_ls7e_ard_3-1-0_104072_2020-08-06_final
2020-08-06 10:10:56	ga_ls7e_ard_3-1-0_104073_2020-08-06_final
2020-08-06 10:12:08	ga_ls7e_ard_3-1-0_104076_2020-08-06_final
2020-08-06 10:12:32	ga_ls7e_ard_3-1-0_104077_2020-08-06_final
2020-08-06 10:13:20	ga_ls7e_ard_3-1-0_104079_2020-08-06_final
2020-08-07 09:16:03	ga_ls7e_ard_3-1-0_095075_2020-08-06_final
2020-08-07 09:16:51	ga_ls7e_ard_3-1-0_095077_2020-08-06_final
2020-08-07 09:18:03	ga_ls7e_ard_3-1-0_095080_2020-08-06_final
2020-08-07 10:51:45	ga_ls7e_ard_3-1-0_111067_2020-08-07_final
2020-08-07 10:53:44	ga_ls7e_ard_3-1-0_111072_2020-08-07_final
2020-08-07 10:54:08	ga_ls7e_ard_3-1-0_111073_2020-08-07_final
2020-08-07 10:54:56	ga_ls7e_ard_3-1-0_111075_2020-08-07_final
2020-08-07 10:56:08	ga_ls7e_ard_3-1-0_111078_2020-08-07_final
2020-08-07 10:56:56	ga_ls7e_ard_3-1-0_111080_2020-08-07_final
2020-08-07 10:57:20	ga_ls7e_ard_3-1-0_111081_2020-08-07_final
2020-08-07 10:57:44	ga_ls7e_ard_3-1-0_111082_2020-08-07_final
2020-08-07 10:58:08	ga_ls7e_ard_3-1-0_111083_2020-08-07_final
2020-08-08 09:56:27	ga_ls7e_ard_3-1-0_102068_2020-08-08_final
2020-08-08 09:56:51	ga_ls7e_ard_3-1-0_102069_2020-08-08_final
2020-08-08 09:57:39	ga_ls7e_ard_3-1-0_102071_2020-08-08_final
2020-08-08 09:58:03	ga_ls7e_ard_3-1-0_102072_2020-08-08_final
2020-08-08 09:59:15	ga_ls7e_ard_3-1-0_102075_2020-08-08_final
2020-08-08 10:01:15	ga_ls7e_ard_3-1-0_102080_2020-08-08_final
2020-08-08 10:01:39	ga_ls7e_ard_3-1-0_102081_2020-08-08_final
2020-09-04 09:35:47	ga_ls7e_ard_3-1-0_099067_2020-09-04_final
2020-09-04 09:36:35	ga_ls7e_ard_3-1-0_099069_2020-09-04_final
2020-09-04 09:36:58	ga_ls7e_ard_3-1-0_099070_2020-09-04_final
2020-09-04 09:37:22	ga_ls7e_ard_3-1-0_099071_2020-09-04_final
2020-09-04 09:37:46	ga_ls7e_ard_3-1-0_099072_2020-09-04_final
2020-09-04 09:38:34	ga_ls7e_ard_3-1-0_099074_2020-09-04_final
2020-09-04 09:38:58	ga_ls7e_ard_3-1-0_099075_2020-09-04_final
2020-09-04 09:39:22	ga_ls7e_ard_3-1-0_099076_2020-09-04_final
2020-09-04 09:39:46	ga_ls7e_ard_3-1-0_099077_2020-09-04_final
2020-09-04 09:40:10	ga_ls7e_ard_3-1-0_099078_2020-09-04_final
2020-09-04 09:40:34	ga_ls7e_ard_3-1-0_099079_2020-09-04_final
2020-09-04 09:40:58	ga_ls7e_ard_3-1-0_099080_2020-09-04_final
2020-09-04 09:41:22	ga_ls7e_ard_3-1-0_099081_2020-09-04_final
2020-09-04 09:41:46	ga_ls7e_ard_3-1-0_099082_2020-09-04_final
2020-09-04 09:42:10	ga_ls7e_ard_3-1-0_099083_2020-09-04_final
2020-09-04 09:42:34	ga_ls7e_ard_3-1-0_099084_2020-09-04_final
2020-09-04 11:17:27	ga_ls7e_ard_3-1-0_115074_2020-09-04_final
2020-09-04 11:17:51	ga_ls7e_ard_3-1-0_115075_2020-09-04_final
2020-09-04 11:18:15	ga_ls7e_ard_3-1-0_115076_2020-09-04_final
2020-09-04 11:18:39	ga_ls7e_ard_3-1-0_115077_2020-09-04_final
2020-09-04 11:19:03	ga_ls7e_ard_3-1-0_115078_2020-09-04_final
2020-09-04 11:19:27	ga_ls7e_ard_3-1-0_115079_2020-09-04_final
2020-09-05 10:19:22	ga_ls7e_ard_3-1-0_106068_2020-09-05_final
2020-09-05 10:19:46	ga_ls7e_ard_3-1-0_106069_2020-09-05_final
2020-09-05 10:20:10	ga_ls7e_ard_3-1-0_106070_2020-09-05_final
2020-09-05 10:20:34	ga_ls7e_ard_3-1-0_106071_2020-09-05_final
2020-09-05 10:20:58	ga_ls7e_ard_3-1-0_106072_2020-09-05_final
2020-09-05 10:21:22	ga_ls7e_ard_3-1-0_106073_2020-09-05_final
2020-09-05 10:21:46	ga_ls7e_ard_3-1-0_106074_2020-09-05_final
2020-09-05 10:22:10	ga_ls7e_ard_3-1-0_106075_2020-09-05_final
2020-09-05 10:22:34	ga_ls7e_ard_3-1-0_106076_2020-09-05_final
2020-09-05 10:22:58	ga_ls7e_ard_3-1-0_106077_2020-09-05_final
2020-09-05 10:23:22	ga_ls7e_ard_3-1-0_106078_2020-09-05_final
2020-09-05 10:23:46	ga_ls7e_ard_3-1-0_106079_2020-09-05_final
2020-09-05 10:24:09	ga_ls7e_ard_3-1-0_106080_2020-09-05_final
2020-09-05 10:24:33	ga_ls7e_ard_3-1-0_106081_2020-09-05_final
2020-09-05 10:24:57	ga_ls7e_ard_3-1-0_106082_2020-09-05_final
2020-09-05 10:25:21	ga_ls7e_ard_3-1-0_106083_2020-09-05_final
2020-09-06 09:28:28	ga_ls7e_ard_3-1-0_097080_2020-09-05_final
2020-09-06 09:28:52	ga_ls7e_ard_3-1-0_097081_2020-09-05_final
2020-09-06 09:29:16	ga_ls7e_ard_3-1-0_097082_2020-09-05_final
2020-09-06 09:29:40	ga_ls7e_ard_3-1-0_097083_2020-09-05_final
2020-09-06 09:30:28	ga_ls7e_ard_3-1-0_097085_2020-09-06_final
2020-09-06 11:02:10	ga_ls7e_ard_3-1-0_113067_2020-09-06_final
2020-09-06 11:04:57	ga_ls7e_ard_3-1-0_113074_2020-09-06_final
2020-09-06 11:05:21	ga_ls7e_ard_3-1-0_113075_2020-09-06_final
2020-09-06 11:05:45	ga_ls7e_ard_3-1-0_113076_2020-09-06_final
2020-09-06 11:06:09	ga_ls7e_ard_3-1-0_113077_2020-09-06_final
2020-09-06 11:06:33	ga_ls7e_ard_3-1-0_113078_2020-09-06_final
2020-09-06 11:06:57	ga_ls7e_ard_3-1-0_113079_2020-09-06_final
2020-09-06 11:07:21	ga_ls7e_ard_3-1-0_113080_2020-09-06_final
2020-09-06 11:07:45	ga_ls7e_ard_3-1-0_113081_2020-09-06_final
2020-09-07 10:07:17	ga_ls7e_ard_3-1-0_104069_2020-09-07_final
2020-09-07 10:07:41	ga_ls7e_ard_3-1-0_104070_2020-09-07_final
2020-09-07 10:08:04	ga_ls7e_ard_3-1-0_104071_2020-09-07_final
2020-09-07 10:08:28	ga_ls7e_ard_3-1-0_104072_2020-09-07_final
2020-09-07 10:08:52	ga_ls7e_ard_3-1-0_104073_2020-09-07_final
2020-09-07 10:09:40	ga_ls7e_ard_3-1-0_104075_2020-09-07_final
2020-09-07 10:10:52	ga_ls7e_ard_3-1-0_104078_2020-09-07_final
2020-09-07 10:11:16	ga_ls7e_ard_3-1-0_104079_2020-09-07_final
2020-09-07 10:12:28	ga_ls7e_ard_3-1-0_104082_2020-09-07_final
2020-09-08 09:12:47	ga_ls7e_ard_3-1-0_095072_2020-09-07_final
2020-09-08 09:13:11	ga_ls7e_ard_3-1-0_095073_2020-09-07_final
2020-09-08 09:13:35	ga_ls7e_ard_3-1-0_095074_2020-09-07_final
2020-09-08 09:13:59	ga_ls7e_ard_3-1-0_095075_2020-09-07_final
2020-09-08 09:14:23	ga_ls7e_ard_3-1-0_095076_2020-09-07_final
2020-09-08 09:14:47	ga_ls7e_ard_3-1-0_095077_2020-09-07_final
2020-09-08 09:15:11	ga_ls7e_ard_3-1-0_095078_2020-09-07_final
2020-09-08 09:15:35	ga_ls7e_ard_3-1-0_095079_2020-09-07_final
2020-09-08 09:18:46	ga_ls7e_ard_3-1-0_095087_2020-09-07_final
2020-09-08 10:50:04	ga_ls7e_ard_3-1-0_111068_2020-09-08_final
2020-09-08 10:51:40	ga_ls7e_ard_3-1-0_111072_2020-09-08_final
2020-09-08 10:52:28	ga_ls7e_ard_3-1-0_111074_2020-09-08_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years