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
2021-01-26 11:09:07	ga_ls7e_ard_3-2-0_115078_2021-01-26_final
2021-02-04 11:03:28	ga_ls7e_ard_3-2-0_114081_2021-02-04_final
2021-02-11 11:07:32	ga_ls7e_ard_3-2-0_115077_2021-02-11_final
2021-02-11 11:07:56	ga_ls7e_ard_3-2-0_115078_2021-02-11_final
2021-02-11 11:08:20	ga_ls7e_ard_3-2-0_115079_2021-02-11_final
2021-02-20 11:02:16	ga_ls7e_ard_3-2-0_114081_2021-02-20_final
2021-02-27 11:06:19	ga_ls7e_ard_3-2-0_115077_2021-02-27_final
2021-02-27 11:06:43	ga_ls7e_ard_3-2-0_115078_2021-02-27_final
2021-02-27 11:07:07	ga_ls7e_ard_3-2-0_115079_2021-02-27_final
2021-03-08 11:01:02	ga_ls7e_ard_3-2-0_114081_2021-03-08_final
2021-03-15 11:05:04	ga_ls7e_ard_3-2-0_115077_2021-03-15_final
2021-03-15 11:05:28	ga_ls7e_ard_3-2-0_115078_2021-03-15_final
2021-03-15 11:05:52	ga_ls7e_ard_3-2-0_115079_2021-03-15_final
2021-03-24 10:59:46	ga_ls7e_ard_3-2-0_114081_2021-03-24_final
2021-03-31 11:03:46	ga_ls7e_ard_3-2-0_115077_2021-03-31_final
2021-03-31 11:04:10	ga_ls7e_ard_3-2-0_115078_2021-03-31_final
2021-03-31 11:04:34	ga_ls7e_ard_3-2-0_115079_2021-03-31_final
2021-04-09 10:58:27	ga_ls7e_ard_3-2-0_114081_2021-04-09_final
2021-04-16 11:02:27	ga_ls7e_ard_3-2-0_115077_2021-04-16_final
2021-04-16 11:02:51	ga_ls7e_ard_3-2-0_115078_2021-04-16_final
2021-04-16 11:03:14	ga_ls7e_ard_3-2-0_115079_2021-04-16_final
2021-04-25 10:57:06	ga_ls7e_ard_3-2-0_114081_2021-04-25_final
2021-05-02 11:01:29	ga_ls7e_ard_3-2-0_115078_2021-05-02_final
2021-05-02 11:01:53	ga_ls7e_ard_3-2-0_115079_2021-05-02_final
2021-05-18 10:59:45	ga_ls7e_ard_3-2-0_115077_2021-05-18_final
2021-05-18 11:00:09	ga_ls7e_ard_3-2-0_115078_2021-05-18_final
2021-06-03 10:58:47	ga_ls7e_ard_3-2-0_115078_2021-06-03_final
2021-06-03 10:59:11	ga_ls7e_ard_3-2-0_115079_2021-06-03_final
2021-06-12 10:53:04	ga_ls7e_ard_3-2-0_114081_2021-06-12_final
2021-06-19 10:57:05	ga_ls7e_ard_3-2-0_115077_2021-06-19_final
2021-06-19 10:57:29	ga_ls7e_ard_3-2-0_115078_2021-06-19_final
2021-06-19 10:57:53	ga_ls7e_ard_3-2-0_115079_2021-06-19_final
2021-07-05 10:55:45	ga_ls7e_ard_3-2-0_115077_2021-07-05_final
2021-07-05 10:56:09	ga_ls7e_ard_3-2-0_115078_2021-07-05_final
2021-07-05 10:56:33	ga_ls7e_ard_3-2-0_115079_2021-07-05_final
2021-07-21 10:54:23	ga_ls7e_ard_3-2-0_115077_2021-07-21_final
2021-07-21 10:54:47	ga_ls7e_ard_3-2-0_115078_2021-07-21_final
2021-07-21 10:55:11	ga_ls7e_ard_3-2-0_115079_2021-07-21_final
2021-08-06 10:52:59	ga_ls7e_ard_3-2-0_115077_2021-08-06_final
2021-08-06 10:53:23	ga_ls7e_ard_3-2-0_115078_2021-08-06_final
2021-08-06 10:53:47	ga_ls7e_ard_3-2-0_115079_2021-08-06_final
2021-08-15 10:47:35	ga_ls7e_ard_3-2-0_114081_2021-08-15_final
2021-08-22 10:51:34	ga_ls7e_ard_3-2-0_115077_2021-08-22_final
2021-08-22 10:51:58	ga_ls7e_ard_3-2-0_115078_2021-08-22_final
2021-08-22 10:52:22	ga_ls7e_ard_3-2-0_115079_2021-08-22_final
2021-09-07 10:50:11	ga_ls7e_ard_3-2-0_115077_2021-09-07_final
2021-09-07 10:50:35	ga_ls7e_ard_3-2-0_115078_2021-09-07_final
2021-09-07 10:50:59	ga_ls7e_ard_3-2-0_115079_2021-09-07_final
2021-09-16 10:44:48	ga_ls7e_ard_3-2-0_114081_2021-09-16_final
2021-09-23 10:48:45	ga_ls7e_ard_3-2-0_115077_2021-09-23_final
2021-09-23 10:49:09	ga_ls7e_ard_3-2-0_115078_2021-09-23_final
2021-09-23 10:49:33	ga_ls7e_ard_3-2-0_115079_2021-09-23_final
2021-10-09 10:47:21	ga_ls7e_ard_3-2-0_115077_2021-10-09_final
2021-10-09 10:47:45	ga_ls7e_ard_3-2-0_115078_2021-10-09_final
2021-10-09 10:48:08	ga_ls7e_ard_3-2-0_115079_2021-10-09_final
2021-10-25 10:45:54	ga_ls7e_ard_3-2-0_115077_2021-10-25_final
2021-10-25 10:46:18	ga_ls7e_ard_3-2-0_115078_2021-10-25_final
2021-10-25 10:46:42	ga_ls7e_ard_3-2-0_115079_2021-10-25_final
2021-11-03 10:40:29	ga_ls7e_ard_3-2-0_114081_2021-11-03_final
2021-11-10 10:44:24	ga_ls7e_ard_3-2-0_115077_2021-11-10_final
2021-11-10 10:44:48	ga_ls7e_ard_3-2-0_115078_2021-11-10_final
2021-11-10 10:45:12	ga_ls7e_ard_3-2-0_115079_2021-11-10_final
2021-11-19 10:38:56	ga_ls7e_ard_3-2-1_114081_2021-11-19_final
2021-11-26 10:42:51	ga_ls7e_ard_3-2-1_115077_2021-11-26_final
2021-11-26 10:43:14	ga_ls7e_ard_3-2-1_115078_2021-11-26_final
2021-11-26 10:43:38	ga_ls7e_ard_3-2-1_115079_2021-11-26_final
2021-12-05 10:37:25	ga_ls7e_ard_3-2-1_114081_2021-12-05_final
2021-12-12 10:41:20	ga_ls7e_ard_3-2-1_115077_2021-12-12_final
2021-12-12 10:41:44	ga_ls7e_ard_3-2-1_115078_2021-12-12_final
2021-12-12 10:42:08	ga_ls7e_ard_3-2-1_115079_2021-12-12_final
2021-12-28 10:39:46	ga_ls7e_ard_3-2-1_115077_2021-12-28_final
2021-12-28 10:40:10	ga_ls7e_ard_3-2-1_115078_2021-12-28_final
2021-12-28 10:40:34	ga_ls7e_ard_3-2-1_115079_2021-12-28_final
2022-01-06 10:34:17	ga_ls7e_ard_3-2-1_114081_2022-01-06_final
2022-01-13 10:38:13	ga_ls7e_ard_3-2-1_115077_2022-01-13_final
2022-01-13 10:38:37	ga_ls7e_ard_3-2-1_115078_2022-01-13_final
2022-01-13 10:39:01	ga_ls7e_ard_3-2-1_115079_2022-01-13_final
2022-01-13 10:39:25	ga_ls7e_ard_3-2-1_115080_2022-01-13_final
2022-01-22 10:32:46	ga_ls7e_ard_3-2-1_114081_2022-01-22_final
2022-01-29 10:36:40	ga_ls7e_ard_3-2-1_115077_2022-01-29_final
2022-01-29 10:37:04	ga_ls7e_ard_3-2-1_115078_2022-01-29_final
2022-01-29 10:37:28	ga_ls7e_ard_3-2-1_115079_2022-01-29_final
2022-01-29 10:37:52	ga_ls7e_ard_3-2-1_115080_2022-01-29_final
2022-02-07 10:31:11	ga_ls7e_ard_3-2-1_114081_2022-02-07_final
2022-02-14 10:35:02	ga_ls7e_ard_3-2-1_115077_2022-02-14_final
2022-02-14 10:35:26	ga_ls7e_ard_3-2-1_115078_2022-02-14_final
2022-02-14 10:35:50	ga_ls7e_ard_3-2-1_115079_2022-02-14_final
2022-02-14 10:36:14	ga_ls7e_ard_3-2-1_115080_2022-02-14_final
2022-02-23 10:29:35	ga_ls7e_ard_3-2-1_114081_2022-02-23_final
2022-03-02 10:33:30	ga_ls7e_ard_3-2-1_115077_2022-03-02_final
2022-03-02 10:33:53	ga_ls7e_ard_3-2-1_115078_2022-03-02_final
2022-03-02 10:34:17	ga_ls7e_ard_3-2-1_115079_2022-03-02_final
2022-03-02 10:34:41	ga_ls7e_ard_3-2-1_115080_2022-03-02_final
2022-03-18 10:31:53	ga_ls7e_ard_3-2-1_115077_2022-03-18_final
2022-03-18 10:32:17	ga_ls7e_ard_3-2-1_115078_2022-03-18_final
2022-03-18 10:32:41	ga_ls7e_ard_3-2-1_115079_2022-03-18_final
2022-03-18 10:33:05	ga_ls7e_ard_3-2-1_115080_2022-03-18_final
2022-03-27 10:26:28	ga_ls7e_ard_3-2-1_114081_2022-03-27_final
2022-04-03 10:30:22	ga_ls7e_ard_3-2-1_115077_2022-04-03_final
2022-04-03 10:30:46	ga_ls7e_ard_3-2-1_115078_2022-04-03_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