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
2005-05-22 11:42:24	ga_ls7e_ard_3-0-0_115079_2005-05-22_final
2009-12-27 11:44:00	ga_ls7e_ard_3-0-0_115079_2009-12-27_final
2016-09-09 11:55:30	ga_ls7e_ard_3-0-0_115079_2016-09-09_final
2018-03-07 11:54:06	ga_ls7e_ard_3-0-0_115079_2018-03-07_final
2018-03-23 11:53:54	ga_ls7e_ard_3-0-0_115079_2018-03-23_final
2018-12-04 11:48:50	ga_ls7e_ard_3-0-0_115079_2018-12-04_final
2020-10-06 09:37:17	ga_ls7e_ard_3-2-0_099076_2020-10-06_final
2020-11-25 10:59:38	ga_ls7e_ard_3-1-0_113074_2020-11-25_final
2020-11-27 10:50:20	ga_ls7e_ard_3-1-0_111082_2020-11-27_final
2020-11-28 09:52:38	ga_ls7e_ard_3-1-0_102077_2020-11-28_final
2020-12-19 08:31:56	ga_ls7e_ard_3-1-0_089080_2020-12-18_final
2021-01-02 08:44:30	ga_ls7e_ard_3-1-0_091083_2021-01-01_final
2021-01-03 11:05:46	ga_ls7e_ard_3-1-0_114081_2021-01-03_final
2021-01-07 10:36:23	ga_ls7e_ard_3-1-0_110070_2021-01-07_final
2021-01-07 10:36:47	ga_ls7e_ard_3-1-0_110071_2021-01-07_final
2021-01-12 10:56:58	ga_ls7e_ard_3-1-0_113076_2021-01-12_final
2021-01-19 11:02:15	ga_ls7e_ard_3-1-0_114075_2021-01-19_final
2021-01-21 10:52:56	ga_ls7e_ard_3-2-0_112083_2021-01-21_final
2021-01-25 08:46:15	ga_ls7e_ard_3-2-0_092076_2021-01-24_final
2021-01-25 10:25:08	ga_ls7e_ard_3-2-0_108076_2021-01-25_final
2021-02-08 10:34:28	ga_ls7e_ard_3-2-0_110071_2021-02-08_final
2021-02-12 08:33:46	ga_ls7e_ard_3-2-0_090079_2021-02-11_final
2021-02-20 09:20:36	ga_ls7e_ard_3-2-0_098074_2021-02-19_final
2021-03-07 08:36:59	ga_ls7e_ard_3-2-0_091076_2021-03-06_final
2021-03-07 08:41:46	ga_ls7e_ard_3-2-0_091088_2021-03-06_final
2021-03-07 08:42:10	ga_ls7e_ard_3-2-0_091089_2021-03-06_final
2021-03-09 08:28:27	ga_ls7e_ard_3-2-0_089086_2021-03-08_final
2021-03-14 08:42:13	ga_ls7e_ard_3-2-0_092075_2021-03-13_final
2021-04-05 09:41:26	ga_ls7e_ard_3-2-0_102073_2021-04-05_final
2021-04-19 09:52:37	ga_ls7e_ard_3-2-0_104073_2021-04-19_final
2021-04-24 08:38:14	ga_ls7e_ard_3-2-0_091089_2021-04-23_final
2021-05-01 08:42:38	ga_ls7e_ard_3-2-0_092086_2021-04-30_final
2021-05-03 10:04:59	ga_ls7e_ard_3-2-0_106076_2021-05-03_final
2021-05-03 10:06:59	ga_ls7e_ard_3-2-0_106081_2021-05-03_final
2021-05-06 10:35:15	ga_ls7e_ard_3-2-0_111075_2021-05-06_final
2021-05-10 10:13:47	ga_ls7e_ard_3-2-0_107084_2021-05-10_final
2021-05-15 10:28:18	ga_ls7e_ard_3-2-0_110075_2021-05-15_final
2021-05-17 10:13:23	ga_ls7e_ard_3-2-0_108069_2021-05-17_final
2021-05-18 09:21:40	ga_ls7e_ard_3-2-0_099079_2021-05-17_final
2021-05-22 10:33:06	ga_ls7e_ard_3-2-0_111073_2021-05-22_final
2021-05-27 09:14:19	ga_ls7e_ard_3-2-0_098078_2021-05-26_final
2021-06-10 09:27:07	ga_ls7e_ard_3-2-0_100082_2021-06-09_final
2021-06-11 08:32:37	ga_ls7e_ard_3-2-0_091085_2021-06-10_final
2021-06-12 09:13:48	ga_ls7e_ard_3-2-0_098080_2021-06-11_final
2021-06-27 08:31:42	ga_ls7e_ard_3-2-0_091086_2021-06-26_final
2021-06-28 09:14:04	ga_ls7e_ard_3-2-0_098084_2021-06-27_final
2021-06-29 09:53:15	ga_ls7e_ard_3-2-0_105074_2021-06-29_final
2021-06-30 10:40:25	ga_ls7e_ard_3-2-0_112084_2021-06-30_final
2021-07-11 10:20:57	ga_ls7e_ard_3-2-0_109084_2021-07-11_final
2021-07-18 10:22:09	ga_ls7e_ard_3-2-0_110073_2021-07-18_final
2021-07-22 09:55:29	ga_ls7e_ard_3-2-0_106069_2021-07-22_final
2021-07-22 09:57:53	ga_ls7e_ard_3-2-0_106075_2021-07-22_final
2021-07-25 10:27:19	ga_ls7e_ard_3-2-0_111072_2021-07-25_final
2021-07-27 10:14:47	ga_ls7e_ard_3-2-0_109072_2021-07-27_final
2021-07-31 09:50:55	ga_ls7e_ard_3-2-0_105075_2021-07-31_final
2021-08-16 09:49:53	ga_ls7e_ard_3-2-0_105076_2021-08-16_final
2021-08-19 10:23:19	ga_ls7e_ard_3-2-0_110083_2021-08-19_final
2021-09-05 09:23:50	ga_ls7e_ard_3-2-0_101077_2021-09-04_final
2021-09-07 09:08:31	ga_ls7e_ard_3-2-0_099070_2021-09-06_final
2021-09-08 09:51:17	ga_ls7e_ard_3-2-0_106069_2021-09-08_final
2021-09-15 09:59:38	ga_ls7e_ard_3-2-0_107076_2021-09-15_final
2021-09-19 09:33:22	ga_ls7e_ard_3-2-0_103073_2021-09-19_final
2021-09-25 10:35:01	ga_ls7e_ard_3-2-0_113074_2021-09-25_final
2021-10-06 10:15:31	ga_ls7e_ard_3-2-0_110074_2021-10-06_final
2021-10-09 09:11:15	ga_ls7e_ard_3-2-0_099084_2021-10-08_final
2021-10-11 10:36:48	ga_ls7e_ard_3-2-0_113082_2021-10-11_final
2021-10-13 10:21:28	ga_ls7e_ard_3-2-0_111075_2021-10-13_final
2021-10-22 10:14:53	ga_ls7e_ard_3-2-0_110076_2021-10-22_final
2021-10-23 09:17:58	ga_ls7e_ard_3-2-0_101073_2021-10-22_final
2021-10-28 09:34:04	ga_ls7e_ard_3-2-0_104068_2021-10-28_final
2021-10-29 10:20:01	ga_ls7e_ard_3-2-0_111075_2021-10-29_final
2021-10-30 09:27:06	ga_ls7e_ard_3-2-0_102082_2021-10-29_final
2021-11-16 10:07:56	ga_ls7e_ard_3-2-1_109080_2021-11-16_final
2021-11-19 08:59:39	ga_ls7e_ard_3-2-1_098080_2021-11-18_final
2021-11-29 09:34:35	ga_ls7e_ard_3-2-1_104077_2021-11-29_final
2021-12-06 09:40:55	ga_ls7e_ard_3-2-1_105079_2021-12-06_final
2021-12-09 10:08:20	ga_ls7e_ard_3-2-1_110071_2021-12-09_final
2021-12-12 08:58:52	ga_ls7e_ard_3-2-1_099068_2021-12-11_final
2021-12-14 10:30:47	ga_ls7e_ard_3-2-1_113082_2021-12-14_final
2021-12-28 10:39:23	ga_ls7e_ard_3-2-1_115076_2021-12-28_final
2022-01-03 09:59:17	ga_ls7e_ard_3-2-1_109070_2022-01-03_final
2022-01-03 10:00:29	ga_ls7e_ard_3-2-1_109073_2022-01-03_final
2022-01-13 10:38:13	ga_ls7e_ard_3-2-1_115077_2022-01-13_final
2022-01-15 08:45:36	ga_ls7e_ard_3-2-1_097074_2022-01-14_final
2022-01-20 09:07:15	ga_ls7e_ard_3-2-1_100083_2022-01-19_final
2022-01-21 09:45:13	ga_ls7e_ard_3-2-1_107070_2022-01-21_final
2022-01-22 10:31:58	ga_ls7e_ard_3-2-1_114079_2022-01-22_final
2022-01-24 08:42:56	ga_ls7e_ard_3-2-1_096085_2022-01-23_final
2022-01-24 10:21:25	ga_ls7e_ard_3-2-1_112084_2022-01-24_final
2022-02-01 09:26:24	ga_ls7e_ard_3-2-1_104072_2022-01-31_final
2022-02-03 09:15:50	ga_ls7e_ard_3-2-1_102077_2022-02-02_final
2022-02-04 09:57:24	ga_ls7e_ard_3-2-1_109073_2022-02-04_final
2022-02-05 09:02:52	ga_ls7e_ard_3-2-1_100076_2022-02-04_final
2022-02-06 08:11:32	ga_ls7e_ard_3-2-1_091087_2022-02-05_final
2022-02-16 08:45:59	ga_ls7e_ard_3-2-1_097083_2022-02-15_final
2022-02-24 09:31:04	ga_ls7e_ard_3-2-1_105074_2022-02-24_final
2022-03-06 10:10:47	ga_ls7e_ard_3-2-1_111083_2022-03-06_final
2022-03-10 08:09:11	ga_ls7e_ard_3-2-1_091089_2022-03-09_final
2022-03-26 08:04:01	ga_ls7e_ard_3-2-1_091080_2022-03-25_final
2022-03-31 10:01:22	ga_ls7e_ard_3-2-1_110081_2022-03-31_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