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
2021-01-29 09:58:55	ga_ls7e_ard_3-2-0_104073_2021-01-29_final
2021-04-24 08:38:14	ga_ls7e_ard_3-2-0_091089_2021-04-23_final
2021-04-25 09:19:01	ga_ls7e_ard_3-2-0_098083_2021-04-24_final
2021-05-18 10:59:21	ga_ls7e_ard_3-2-0_115076_2021-05-18_final
2021-05-22 10:32:42	ga_ls7e_ard_3-2-0_111072_2021-05-22_final
2021-05-26 08:35:08	ga_ls7e_ard_3-2-0_091088_2021-05-25_final
2021-05-28 08:20:37	ga_ls7e_ard_3-2-0_089083_2021-05-27_final
2021-06-03 09:15:55	ga_ls7e_ard_3-2-0_099068_2021-06-02_final
2021-06-03 09:20:42	ga_ls7e_ard_3-2-0_099080_2021-06-02_final
2021-06-19 10:56:17	ga_ls7e_ard_3-2-0_115075_2021-06-19_final
2021-06-21 09:08:28	ga_ls7e_ard_3-2-0_097084_2021-06-20_final
2021-06-21 09:08:52	ga_ls7e_ard_3-2-0_097085_2021-06-20_final
2021-06-24 09:33:32	ga_ls7e_ard_3-2-0_102070_2021-06-24_final
2021-06-29 08:17:34	ga_ls7e_ard_3-2-0_089082_2021-06-28_final
2021-06-30 09:01:57	ga_ls7e_ard_3-2-0_096085_2021-06-29_final
2021-07-02 10:23:06	ga_ls7e_ard_3-2-0_110072_2021-07-02_final
2021-07-02 10:23:30	ga_ls7e_ard_3-2-0_110073_2021-07-02_final
2021-07-05 09:19:40	ga_ls7e_ard_3-2-0_099084_2021-07-04_final
2021-07-06 08:24:22	ga_ls7e_ard_3-2-0_090085_2021-07-05_final
2021-07-07 10:46:01	ga_ls7e_ard_3-2-0_113084_2021-07-07_final
2021-07-09 08:55:00	ga_ls7e_ard_3-2-0_095085_2021-07-08_final
2021-07-12 09:25:15	ga_ls7e_ard_3-2-0_100084_2021-07-11_final
2021-07-13 10:07:13	ga_ls7e_ard_3-2-0_107081_2021-07-13_final
2021-07-23 10:43:51	ga_ls7e_ard_3-2-0_113082_2021-07-23_final
2021-07-27 10:16:47	ga_ls7e_ard_3-2-0_109077_2021-07-27_final
2021-08-03 10:25:08	ga_ls7e_ard_3-2-0_110084_2021-08-03_final
2021-08-06 09:16:06	ga_ls7e_ard_3-2-0_099082_2021-08-05_final
2021-08-07 09:56:04	ga_ls7e_ard_3-2-0_106074_2021-08-07_final
2021-08-08 10:36:27	ga_ls7e_ard_3-2-0_113067_2021-08-08_final
2021-08-10 10:23:55	ga_ls7e_ard_3-2-0_111067_2021-08-10_final
2021-08-15 09:03:08	ga_ls7e_ard_3-2-0_098067_2021-08-14_final
2021-08-19 10:23:43	ga_ls7e_ard_3-2-0_110084_2021-08-19_final
2021-08-21 10:05:12	ga_ls7e_ard_3-2-0_108069_2021-08-21_final
2021-08-23 09:53:28	ga_ls7e_ard_3-2-0_106071_2021-08-23_final
2021-08-25 09:45:19	ga_ls7e_ard_3-2-0_104082_2021-08-25_final
2021-09-01 08:10:50	ga_ls7e_ard_3-2-0_089079_2021-08-31_final
2021-09-06 08:32:55	ga_ls7e_ard_3-2-0_092089_2021-09-05_final
2021-09-11 08:44:38	ga_ls7e_ard_3-2-0_095073_2021-09-10_final
2021-09-13 10:12:10	ga_ls7e_ard_3-2-0_109076_2021-09-13_final
2021-09-16 09:07:07	ga_ls7e_ard_3-2-0_098084_2021-09-15_final
2021-09-22 10:03:12	ga_ls7e_ard_3-2-0_108071_2021-09-22_final
2021-09-23 09:11:05	ga_ls7e_ard_3-2-0_099080_2021-09-22_final
2021-09-26 09:41:42	ga_ls7e_ard_3-2-0_104080_2021-09-26_final
2021-10-01 09:55:49	ga_ls7e_ard_3-2-0_107070_2021-10-01_final
2021-10-01 09:56:12	ga_ls7e_ard_3-2-0_107071_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 10:42:58	ga_ls7e_ard_3-2-0_114080_2021-10-02_final
2021-10-03 08:10:47	ga_ls7e_ard_3-2-0_089086_2021-10-02_final
2021-10-04 08:53:33	ga_ls7e_ard_3-2-0_096085_2021-10-03_final
2021-10-06 10:13:55	ga_ls7e_ard_3-2-0_110070_2021-10-06_final
2021-10-07 09:23:24	ga_ls7e_ard_3-2-0_101083_2021-10-06_final
2021-10-09 09:05:40	ga_ls7e_ard_3-2-0_099070_2021-10-08_final
2021-10-22 10:13:17	ga_ls7e_ard_3-2-0_110072_2021-10-22_final
2021-10-23 09:17:58	ga_ls7e_ard_3-2-0_101073_2021-10-22_final
2021-10-25 10:44:42	ga_ls7e_ard_3-2-0_115074_2021-10-25_final
2021-10-27 08:51:41	ga_ls7e_ard_3-2-0_097070_2021-10-26_final
2021-10-27 08:56:05	ga_ls7e_ard_3-2-0_097081_2021-10-26_final
2021-10-30 09:21:55	ga_ls7e_ard_3-2-0_102069_2021-10-29_final
2021-10-31 08:33:23	ga_ls7e_ard_3-2-0_093087_2021-10-30_final
2021-11-02 09:56:07	ga_ls7e_ard_3-2-0_107078_2021-11-02_final
2021-11-07 08:36:06	ga_ls7e_ard_3-2-0_094080_2021-11-06_final
2021-11-12 08:53:22	ga_ls7e_ard_3-2-0_097078_2021-11-11_final
2021-11-14 10:18:06	ga_ls7e_ard_3-2-1_111074_2021-11-14_final
2021-11-16 10:06:20	ga_ls7e_ard_3-2-1_109076_2021-11-16_final
2021-11-18 08:18:06	ga_ls7e_ard_3-2-1_091084_2021-11-17_final
2021-11-23 10:11:01	ga_ls7e_ard_3-2-1_110074_2021-11-23_final
2021-11-25 10:02:04	ga_ls7e_ard_3-2-1_108083_2021-11-25_final
2021-12-04 08:16:59	ga_ls7e_ard_3-2-1_091085_2021-12-03_final
2021-12-06 09:40:07	ga_ls7e_ard_3-2-1_105077_2021-12-06_final
2021-12-13 08:07:57	ga_ls7e_ard_3-2-1_090080_2021-12-12_final
2021-12-14 10:31:11	ga_ls7e_ard_3-2-1_113083_2021-12-14_final
2021-12-17 09:18:56	ga_ls7e_ard_3-2-1_102073_2021-12-16_final
2021-12-21 10:33:54	ga_ls7e_ard_3-2-1_114076_2021-12-21_final
2021-12-28 10:38:35	ga_ls7e_ard_3-2-1_115074_2021-12-28_final
2021-12-29 09:42:51	ga_ls7e_ard_3-2-1_106074_2021-12-29_final
2021-12-31 09:31:29	ga_ls7e_ard_3-2-1_104077_2021-12-31_final
2022-01-02 09:16:32	ga_ls7e_ard_3-2-1_102071_2022-01-01_final
2022-01-03 08:23:12	ga_ls7e_ard_3-2-1_093077_2022-01-02_final
2022-01-07 09:36:58	ga_ls7e_ard_3-2-1_105077_2022-01-07_final
2022-01-11 09:12:17	ga_ls7e_ard_3-2-1_101078_2022-01-10_final
2022-01-19 09:59:22	ga_ls7e_ard_3-2-1_109074_2022-01-19_final
2022-01-20 09:04:27	ga_ls7e_ard_3-2-1_100076_2022-01-19_final
2022-01-21 08:11:56	ga_ls7e_ard_3-2-1_091084_2022-01-20_final
2022-01-22 10:32:22	ga_ls7e_ard_3-2-1_114080_2022-01-22_final
2022-02-03 09:12:38	ga_ls7e_ard_3-2-1_102069_2022-02-02_final
2022-02-06 08:11:56	ga_ls7e_ard_3-2-1_091088_2022-02-05_final
2022-02-08 09:32:16	ga_ls7e_ard_3-2-1_105073_2022-02-08_final
2022-02-14 08:54:09	ga_ls7e_ard_3-2-1_099072_2022-02-13_final
2022-02-14 08:58:57	ga_ls7e_ard_3-2-1_099084_2022-02-13_final
2022-02-15 09:36:31	ga_ls7e_ard_3-2-1_106070_2022-02-15_final
2022-02-23 10:28:47	ga_ls7e_ard_3-2-1_114079_2022-02-23_final
2022-02-24 09:34:16	ga_ls7e_ard_3-2-1_105082_2022-02-24_final
2022-03-12 07:55:01	ga_ls7e_ard_3-2-1_089085_2022-03-11_final
2022-03-18 10:32:17	ga_ls7e_ard_3-2-1_115078_2022-03-18_final
2022-03-19 07:57:18	ga_ls7e_ard_3-2-1_090077_2022-03-18_final
2022-03-20 10:18:09	ga_ls7e_ard_3-2-1_113074_2022-03-20_final
2022-03-29 10:14:43	ga_ls7e_ard_3-2-1_112083_2022-03-29_final
2022-03-31 10:01:46	ga_ls7e_ard_3-2-1_110082_2022-03-31_final
2022-04-03 08:47:30	ga_ls7e_ard_3-2-1_099067_2022-04-02_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