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
2020-12-22 09:00:12	ga_ls7e_ard_3-1-0_094074_2020-12-21_final
2020-12-22 10:39:53	ga_ls7e_ard_3-1-0_110076_2020-12-22_final
2020-12-22 10:42:40	ga_ls7e_ard_3-1-0_110083_2020-12-22_final
2020-12-25 09:34:29	ga_ls7e_ard_3-1-0_099083_2020-12-25_final
2021-01-10 09:32:35	ga_ls7e_ard_3-1-0_099081_2021-01-10_final
2021-01-12 10:57:46	ga_ls7e_ard_3-1-0_113078_2021-01-12_final
2021-01-14 10:42:28	ga_ls7e_ard_3-1-0_111071_2021-01-14_final
2021-01-19 09:24:34	ga_ls7e_ard_3-1-0_098078_2021-01-18_final
2021-01-25 10:25:08	ga_ls7e_ard_3-2-0_108076_2021-01-25_final
2021-02-08 10:38:51	ga_ls7e_ard_3-2-0_110082_2021-02-08_final
2021-02-11 09:27:04	ga_ls7e_ard_3-2-0_099073_2021-02-10_final
2021-02-12 08:33:22	ga_ls7e_ard_3-2-0_090078_2021-02-11_final
2021-02-13 09:17:45	ga_ls7e_ard_3-2-0_097081_2021-02-12_final
2021-02-16 09:43:38	ga_ls7e_ard_3-2-0_102069_2021-02-16_final
2021-02-19 10:20:17	ga_ls7e_ard_3-2-0_107084_2021-02-19_final
2021-02-28 08:35:20	ga_ls7e_ard_3-2-0_090086_2021-02-27_final
2021-03-07 10:13:28	ga_ls7e_ard_3-2-0_107070_2021-03-07_final
2021-03-16 10:11:22	ga_ls7e_ard_3-2-0_106082_2021-03-16_final
2021-03-24 10:56:58	ga_ls7e_ard_3-2-0_114074_2021-03-24_final
2021-03-26 09:04:22	ga_ls7e_ard_3-2-0_096071_2021-03-25_final
2021-04-01 08:32:23	ga_ls7e_ard_3-2-0_090085_2021-03-31_final
2021-04-01 08:34:23	ga_ls7e_ard_3-2-0_090090_2021-03-31_final
2021-04-10 08:25:52	ga_ls7e_ard_3-2-0_089086_2021-04-09_final
2021-04-16 11:02:03	ga_ls7e_ard_3-2-0_115076_2021-04-16_final
2021-04-17 10:05:09	ga_ls7e_ard_3-2-0_106073_2021-04-17_final
2021-04-18 09:11:26	ga_ls7e_ard_3-2-0_097078_2021-04-17_final
2021-04-22 08:49:58	ga_ls7e_ard_3-2-0_093087_2021-04-21_final
2021-04-22 10:24:27	ga_ls7e_ard_3-2-0_109076_2021-04-22_final
2021-04-23 09:31:33	ga_ls7e_ard_3-2-0_100083_2021-04-23_final
2021-04-27 09:02:53	ga_ls7e_ard_3-2-0_096074_2021-04-26_final
2021-04-27 09:06:53	ga_ls7e_ard_3-2-0_096084_2021-04-26_final
2021-04-27 10:44:58	ga_ls7e_ard_3-2-0_112082_2021-04-27_final
2021-05-02 09:24:36	ga_ls7e_ard_3-2-0_099083_2021-05-01_final
2021-05-06 08:55:34	ga_ls7e_ard_3-2-0_095073_2021-05-05_final
2021-05-08 10:21:31	ga_ls7e_ard_3-2-0_109072_2021-05-08_final
2021-05-09 09:25:49	ga_ls7e_ard_3-2-0_100072_2021-05-08_final
2021-05-15 10:31:30	ga_ls7e_ard_3-2-0_110083_2021-05-15_final
2021-05-17 08:40:30	ga_ls7e_ard_3-2-0_092084_2021-05-16_final
2021-05-20 10:48:49	ga_ls7e_ard_3-2-0_113081_2021-05-20_final
2021-05-22 10:36:17	ga_ls7e_ard_3-2-0_111081_2021-05-22_final
2021-05-31 08:52:03	ga_ls7e_ard_3-2-0_094085_2021-05-30_final
2021-06-02 08:35:31	ga_ls7e_ard_3-2-0_092075_2021-06-01_final
2021-06-02 10:12:24	ga_ls7e_ard_3-2-0_108070_2021-06-02_final
2021-06-03 09:21:30	ga_ls7e_ard_3-2-0_099082_2021-06-02_final
2021-06-05 09:08:35	ga_ls7e_ard_3-2-0_097081_2021-06-04_final
2021-06-11 08:30:13	ga_ls7e_ard_3-2-0_091079_2021-06-10_final
2021-06-12 09:13:48	ga_ls7e_ard_3-2-0_098080_2021-06-11_final
2021-06-18 10:16:18	ga_ls7e_ard_3-2-0_108083_2021-06-18_final
2021-06-19 10:57:29	ga_ls7e_ard_3-2-0_115078_2021-06-19_final
2021-07-05 09:19:40	ga_ls7e_ard_3-2-0_099084_2021-07-04_final
2021-07-13 08:27:57	ga_ls7e_ard_3-2-0_091080_2021-07-12_final
2021-07-15 08:16:37	ga_ls7e_ard_3-2-0_089083_2021-07-14_final
2021-07-21 09:11:31	ga_ls7e_ard_3-2-0_099067_2021-07-20_final
2021-07-30 09:06:09	ga_ls7e_ard_3-2-0_098071_2021-07-29_final
2021-08-03 10:24:20	ga_ls7e_ard_3-2-0_110082_2021-08-03_final
2021-08-07 08:19:11	ga_ls7e_ard_3-2-0_090079_2021-08-06_final
2021-08-08 09:04:45	ga_ls7e_ard_3-2-0_097085_2021-08-07_final
2021-08-16 09:52:17	ga_ls7e_ard_3-2-0_105082_2021-08-16_final
2021-08-24 10:41:26	ga_ls7e_ard_3-2-0_113083_2021-08-24_final
2021-09-01 08:13:37	ga_ls7e_ard_3-2-0_089086_2021-08-31_final
2021-09-06 08:27:20	ga_ls7e_ard_3-2-0_092075_2021-09-05_final
2021-09-15 08:24:21	ga_ls7e_ard_3-2-0_091085_2021-09-14_final
2021-09-17 09:44:18	ga_ls7e_ard_3-2-0_105069_2021-09-17_final
2021-10-01 10:00:36	ga_ls7e_ard_3-2-0_107082_2021-10-01_final
2021-10-02 09:00:30	ga_ls7e_ard_3-2-0_098071_2021-10-01_final
2021-10-02 09:06:05	ga_ls7e_ard_3-2-0_098085_2021-10-01_final
2021-10-02 10:42:34	ga_ls7e_ard_3-2-0_114079_2021-10-02_final
2021-10-18 08:58:17	ga_ls7e_ard_3-2-0_098069_2021-10-17_final
2021-10-19 09:44:39	ga_ls7e_ard_3-2-0_105077_2021-10-19_final
2021-10-21 09:28:55	ga_ls7e_ard_3-2-0_103069_2021-10-20_final
2021-10-22 10:11:17	ga_ls7e_ard_3-2-0_110067_2021-10-22_final
2021-10-26 08:12:07	ga_ls7e_ard_3-2-0_090079_2021-10-25_final
2021-10-27 08:51:41	ga_ls7e_ard_3-2-0_097070_2021-10-26_final
2021-10-30 09:27:06	ga_ls7e_ard_3-2-0_102082_2021-10-29_final
2021-11-07 10:16:35	ga_ls7e_ard_3-2-0_110084_2021-11-07_final
2021-11-08 09:15:41	ga_ls7e_ard_3-2-0_101071_2021-11-07_final
2021-11-10 09:03:31	ga_ls7e_ard_3-2-0_099072_2021-11-09_final
2021-11-17 09:10:37	ga_ls7e_ard_3-2-1_100076_2021-11-16_final
2021-11-18 09:51:47	ga_ls7e_ard_3-2-1_107071_2021-11-18_final
2021-11-19 08:56:28	ga_ls7e_ard_3-2-1_098072_2021-11-18_final
2021-11-23 10:10:38	ga_ls7e_ard_3-2-1_110073_2021-11-23_final
2021-11-26 09:01:10	ga_ls7e_ard_3-2-1_099070_2021-11-25_final
2021-11-27 09:48:20	ga_ls7e_ard_3-2-1_106080_2021-11-27_final
2021-11-28 08:52:13	ga_ls7e_ard_3-2-1_097079_2021-11-27_final
2021-12-04 08:18:34	ga_ls7e_ard_3-2-1_091089_2021-12-03_final
2021-12-05 10:35:26	ga_ls7e_ard_3-2-1_114076_2021-12-05_final
2021-12-07 08:47:12	ga_ls7e_ard_3-2-1_096084_2021-12-06_final
2021-12-12 09:03:40	ga_ls7e_ard_3-2-1_099080_2021-12-11_final
2021-12-21 10:34:18	ga_ls7e_ard_3-2-1_114077_2021-12-21_final
2021-12-22 08:02:06	ga_ls7e_ard_3-2-1_089083_2021-12-21_final
2021-12-22 09:35:47	ga_ls7e_ard_3-2-1_105070_2021-12-22_final
2021-12-23 10:24:32	ga_ls7e_ard_3-2-1_112084_2021-12-23_final
2021-12-24 09:27:13	ga_ls7e_ard_3-2-1_103080_2021-12-23_final
2021-12-27 09:55:01	ga_ls7e_ard_3-2-1_108073_2021-12-27_final
2021-12-27 09:58:13	ga_ls7e_ard_3-2-1_108081_2021-12-27_final
2021-12-30 08:51:08	ga_ls7e_ard_3-2-1_097084_2021-12-29_final
2022-01-03 09:59:17	ga_ls7e_ard_3-2-1_109070_2022-01-03_final
2022-01-05 09:48:19	ga_ls7e_ard_3-2-1_107074_2022-01-05_final
2022-01-08 08:38:28	ga_ls7e_ard_3-2-1_096070_2022-01-07_final
2022-01-10 10:06:48	ga_ls7e_ard_3-2-1_110075_2022-01-10_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