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
2004-02-29 11:41:56	ga_ls7e_ard_3-0-0_115079_2004-02-29_final
2008-02-24 11:42:38	ga_ls7e_ard_3-0-0_115078_2008-02-24_final
2011-04-05 11:46:25	ga_ls7e_ard_3-0-0_115079_2011-04-05_final
2011-04-21 11:46:24	ga_ls7e_ard_3-0-0_115079_2011-04-21_final
2015-06-03 11:52:20	ga_ls7e_ard_3-0-0_115079_2015-06-03_final
2016-03-01 11:54:45	ga_ls7e_ard_3-0-0_115079_2016-03-01_final
2020-12-11 09:21:11	ga_ls7e_ard_3-1-0_097078_2020-12-10_final
2020-12-15 10:32:14	ga_ls7e_ard_3-1-0_109071_2020-12-15_final
2020-12-17 10:22:55	ga_ls7e_ard_3-1-0_107079_2020-12-17_final
2020-12-18 09:27:37	ga_ls7e_ard_3-1-0_098080_2020-12-17_final
2020-12-18 09:28:01	ga_ls7e_ard_3-1-0_098081_2020-12-17_final
2020-12-22 09:00:12	ga_ls7e_ard_3-1-0_094074_2020-12-21_final
2020-12-31 08:57:23	ga_ls7e_ard_3-1-0_093084_2020-12-30_final
2020-12-31 10:32:17	ga_ls7e_ard_3-1-0_109074_2020-12-31_final
2021-01-02 08:47:17	ga_ls7e_ard_3-1-0_091090_2021-01-01_final
2021-01-02 10:20:35	ga_ls7e_ard_3-1-0_107076_2021-01-02_final
2021-01-09 08:51:47	ga_ls7e_ard_3-1-0_092087_2021-01-08_final
2021-01-16 10:34:45	ga_ls7e_ard_3-1-0_109083_2021-01-16_final
2021-01-19 09:20:58	ga_ls7e_ard_3-1-0_098069_2021-01-18_final
2021-01-19 11:01:51	ga_ls7e_ard_3-1-0_114074_2021-01-19_final
2021-01-21 10:50:08	ga_ls7e_ard_3-2-0_112076_2021-01-21_final
2021-02-11 11:07:56	ga_ls7e_ard_3-2-0_115078_2021-02-11_final
2021-02-13 10:57:01	ga_ls7e_ard_3-2-0_113082_2021-02-13_final
2021-02-18 09:37:06	ga_ls7e_ard_3-2-0_100084_2021-02-18_final
2021-02-25 09:39:57	ga_ls7e_ard_3-2-0_101077_2021-02-25_final
2021-02-26 10:20:21	ga_ls7e_ard_3-2-0_108070_2021-02-26_final
2021-03-10 09:11:14	ga_ls7e_ard_3-2-0_096085_2021-03-09_final
2021-03-17 09:14:52	ga_ls7e_ard_3-2-0_097080_2021-03-16_final
2021-03-28 10:30:20	ga_ls7e_ard_3-2-0_110070_2021-03-28_final
2021-04-02 10:52:51	ga_ls7e_ard_3-2-0_113081_2021-04-02_final
2021-04-06 08:50:31	ga_ls7e_ard_3-2-0_093085_2021-04-05_final
2021-04-15 08:44:23	ga_ls7e_ard_3-2-0_092087_2021-04-14_final
2021-04-17 10:03:57	ga_ls7e_ard_3-2-0_106070_2021-04-17_final
2021-04-21 09:40:05	ga_ls7e_ard_3-2-0_102073_2021-04-21_final
2021-04-25 09:17:49	ga_ls7e_ard_3-2-0_098080_2021-04-24_final
2021-04-26 08:24:30	ga_ls7e_ard_3-2-0_089086_2021-04-25_final
2021-05-06 10:34:27	ga_ls7e_ard_3-2-0_111073_2021-05-06_final
2021-05-10 08:37:18	ga_ls7e_ard_3-2-0_091090_2021-05-09_final
2021-05-12 10:00:03	ga_ls7e_ard_3-2-0_105081_2021-05-12_final
2021-05-15 08:53:49	ga_ls7e_ard_3-2-0_094086_2021-05-14_final
2021-05-27 09:15:07	ga_ls7e_ard_3-2-0_098080_2021-05-26_final
2021-05-29 08:58:36	ga_ls7e_ard_3-2-0_096070_2021-05-28_final
2021-06-02 10:12:24	ga_ls7e_ard_3-2-0_108070_2021-06-02_final
2021-06-04 08:26:36	ga_ls7e_ard_3-2-0_090084_2021-06-03_final
2021-06-07 10:31:21	ga_ls7e_ard_3-2-0_111072_2021-06-07_final
2021-06-12 09:12:36	ga_ls7e_ard_3-2-0_098077_2021-06-11_final
2021-06-13 09:52:35	ga_ls7e_ard_3-2-0_105069_2021-06-13_final
2021-06-19 09:17:48	ga_ls7e_ard_3-2-0_099076_2021-06-18_final
2021-07-02 10:24:18	ga_ls7e_ard_3-2-0_110075_2021-07-02_final
2021-07-11 10:16:58	ga_ls7e_ard_3-2-0_109074_2021-07-11_final
2021-07-21 09:11:31	ga_ls7e_ard_3-2-0_099067_2021-07-20_final
2021-07-27 10:18:46	ga_ls7e_ard_3-2-0_109082_2021-07-27_final
2021-08-03 10:20:21	ga_ls7e_ard_3-2-0_110072_2021-08-03_final
2021-08-04 09:26:38	ga_ls7e_ard_3-2-0_101077_2021-08-03_final
2021-08-16 09:51:05	ga_ls7e_ard_3-2-0_105079_2021-08-16_final
2021-08-20 09:25:37	ga_ls7e_ard_3-2-0_101078_2021-08-19_final
2021-08-21 10:07:36	ga_ls7e_ard_3-2-0_108075_2021-08-21_final
2021-08-23 08:17:47	ga_ls7e_ard_3-2-0_090079_2021-08-22_final
2021-08-23 08:18:59	ga_ls7e_ard_3-2-0_090082_2021-08-22_final
2021-08-26 10:22:55	ga_ls7e_ard_3-2-0_111068_2021-08-26_final
2021-09-04 10:19:09	ga_ls7e_ard_3-2-0_110076_2021-09-04_final
2021-09-11 10:23:07	ga_ls7e_ard_3-2-0_111072_2021-09-11_final
2021-09-22 10:04:47	ga_ls7e_ard_3-2-0_108075_2021-09-22_final
2021-09-24 08:17:46	ga_ls7e_ard_3-2-0_090086_2021-09-23_final
2021-09-24 09:52:39	ga_ls7e_ard_3-2-0_106076_2021-09-24_final
2021-09-26 09:41:42	ga_ls7e_ard_3-2-0_104080_2021-09-26_final
2021-10-04 08:53:33	ga_ls7e_ard_3-2-0_096085_2021-10-03_final
2021-10-07 09:21:00	ga_ls7e_ard_3-2-0_101077_2021-10-06_final
2021-10-08 08:28:05	ga_ls7e_ard_3-2-0_092084_2021-10-07_final
2021-10-09 10:47:21	ga_ls7e_ard_3-2-0_115077_2021-10-09_final
2021-10-11 08:59:07	ga_ls7e_ard_3-2-0_097085_2021-10-10_final
2021-10-15 08:32:27	ga_ls7e_ard_3-2-0_093081_2021-10-14_final
2021-10-17 08:17:55	ga_ls7e_ard_3-2-0_091076_2021-10-16_final
2021-10-24 08:23:04	ga_ls7e_ard_3-2-0_092075_2021-10-23_final
2021-10-26 09:52:35	ga_ls7e_ard_3-2-0_106083_2021-10-26_final
2021-10-31 10:06:40	ga_ls7e_ard_3-2-0_109073_2021-10-31_final
2021-11-02 09:53:20	ga_ls7e_ard_3-2-0_107071_2021-11-02_final
2021-11-02 09:55:19	ga_ls7e_ard_3-2-0_107076_2021-11-02_final
2021-11-09 08:25:09	ga_ls7e_ard_3-2-0_092084_2021-11-08_final
2021-11-26 09:05:34	ga_ls7e_ard_3-2-1_099081_2021-11-25_final
2021-12-02 08:25:56	ga_ls7e_ard_3-2-1_093076_2021-12-01_final
2021-12-04 08:18:58	ga_ls7e_ard_3-2-1_091090_2021-12-03_final
2021-12-10 09:15:01	ga_ls7e_ard_3-2-1_101077_2021-12-09_final
2021-12-13 08:07:57	ga_ls7e_ard_3-2-1_090080_2021-12-12_final
2021-12-22 09:38:34	ga_ls7e_ard_3-2-1_105077_2021-12-22_final
2022-01-01 10:13:51	ga_ls7e_ard_3-2-1_111075_2022-01-01_final
2022-01-10 10:07:36	ga_ls7e_ard_3-2-1_110077_2022-01-10_final
2022-01-12 08:18:58	ga_ls7e_ard_3-2-1_092084_2022-01-11_final
2022-01-20 09:03:15	ga_ls7e_ard_3-2-1_100073_2022-01-19_final
2022-01-21 08:13:08	ga_ls7e_ard_3-2-1_091087_2022-01-20_final
2022-01-31 08:46:02	ga_ls7e_ard_3-2-1_097079_2022-01-30_final
2022-02-07 08:53:06	ga_ls7e_ard_3-2-1_098083_2022-02-06_final
2022-02-08 09:32:16	ga_ls7e_ard_3-2-1_105073_2022-02-08_final
2022-02-20 09:55:46	ga_ls7e_ard_3-2-1_109073_2022-02-20_final
2022-02-28 09:07:10	ga_ls7e_ard_3-2-1_101077_2022-02-27_final
2022-03-06 08:27:54	ga_ls7e_ard_3-2-1_095073_2022-03-05_final
2022-03-08 09:55:49	ga_ls7e_ard_3-2-1_109077_2022-03-08_final
2022-03-10 09:41:16	ga_ls7e_ard_3-2-1_107072_2022-03-10_final
2022-03-17 08:12:39	ga_ls7e_ard_3-2-1_092084_2022-03-16_final
2022-03-19 08:02:29	ga_ls7e_ard_3-2-1_090090_2022-03-18_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