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
1999-07-02 11:39:20	ga_ls7e_ard_3-0-0_114079_1999-07-02_final
1999-08-19 11:38:39	ga_ls7e_ard_3-0-0_114077_1999-08-19_final
1999-10-22 11:39:03	ga_ls7e_ard_3-0-0_114078_1999-10-22_final
1999-11-07 11:39:08	ga_ls7e_ard_3-0-0_114078_1999-11-07_final
1999-11-07 11:39:32	ga_ls7e_ard_3-0-0_114079_1999-11-07_final
1999-12-09 11:39:08	ga_ls7e_ard_3-0-0_114078_1999-12-09_final
2000-02-27 11:38:28	ga_ls7e_ard_3-0-0_114077_2000-02-27_final
2000-03-05 11:45:24	ga_ls7e_ard_3-0-0_115079_2000-03-05_final
2000-03-14 11:39:11	ga_ls7e_ard_3-0-0_114079_2000-03-14_final
2000-07-04 11:38:14	ga_ls7e_ard_3-0-0_114079_2000-07-04_final
2000-09-13 11:42:15	ga_ls7e_ard_3-0-0_115076_2000-09-13_final
2001-02-13 11:36:15	ga_ls7e_ard_3-0-0_114077_2001-02-13_final
2001-03-01 11:36:09	ga_ls7e_ard_3-0-0_114077_2001-03-01_final
2001-03-24 11:42:59	ga_ls7e_ard_3-0-0_115079_2001-03-24_final
2001-05-27 11:42:36	ga_ls7e_ard_3-0-0_115079_2001-05-27_final
2001-09-16 11:41:18	ga_ls7e_ard_3-0-0_115079_2001-09-16_final
2002-04-12 11:41:37	ga_ls7e_ard_3-0-0_115079_2002-04-12_final
2002-05-30 11:41:25	ga_ls7e_ard_3-1-0_115079_2002-05-30_final
2002-06-24 11:34:40	ga_ls7e_ard_3-0-0_114078_2002-06-24_final
2002-07-17 11:41:08	ga_ls7e_ard_3-0-0_115079_2002-07-17_final
2002-07-26 11:34:28	ga_ls7e_ard_3-0-0_114078_2002-07-26_final
2002-08-11 11:34:24	ga_ls7e_ard_3-0-0_114078_2002-08-11_final
2002-10-30 11:34:00	ga_ls7e_ard_3-0-0_114078_2002-10-30_final
2003-03-07 11:34:58	ga_ls7e_ard_3-0-0_114078_2003-03-07_final
2003-04-24 11:34:33	ga_ls7e_ard_3-0-0_114077_2003-04-24_final
2003-04-24 11:34:57	ga_ls7e_ard_3-0-0_114078_2003-04-24_final
2003-05-26 11:34:55	ga_ls7e_ard_3-0-0_114078_2003-05-26_final
2012-06-19 11:39:52	ga_ls7e_ard_3-0-0_114076_2012-06-19_final
2020-11-28 09:51:50	ga_ls7e_ard_3-1-0_102075_2020-11-28_final
2020-12-01 10:23:43	ga_ls7e_ard_3-1-0_107078_2020-12-01_final
2020-12-04 09:14:43	ga_ls7e_ard_3-1-0_096076_2020-12-03_final
2020-12-08 10:29:23	ga_ls7e_ard_3-1-0_108078_2020-12-08_final
2021-01-27 10:14:37	ga_ls7e_ard_3-2-0_106081_2021-01-27_final
2021-02-10 10:24:21	ga_ls7e_ard_3-2-0_108077_2021-02-10_final
2021-02-24 08:56:46	ga_ls7e_ard_3-2-0_094077_2021-02-23_final
2021-02-26 10:23:32	ga_ls7e_ard_3-2-0_108078_2021-02-26_final
2021-03-03 09:02:49	ga_ls7e_ard_3-2-0_095078_2021-03-02_final
2021-03-10 10:46:31	ga_ls7e_ard_3-2-0_112076_2021-03-10_final
2021-03-21 08:49:49	ga_ls7e_ard_3-2-0_093080_2021-03-20_final
2021-03-23 10:15:23	ga_ls7e_ard_3-2-0_107078_2021-03-23_final
2021-03-26 09:06:22	ga_ls7e_ard_3-2-0_096076_2021-03-25_final
2021-03-28 08:54:38	ga_ls7e_ard_3-2-0_094078_2021-03-27_final
2021-04-06 08:49:19	ga_ls7e_ard_3-2-0_093082_2021-04-05_final
2021-04-11 10:44:43	ga_ls7e_ard_3-2-0_112078_2021-04-11_final
2021-04-13 08:52:55	ga_ls7e_ard_3-2-0_094077_2021-04-12_final
2021-04-15 08:42:47	ga_ls7e_ard_3-2-0_092083_2021-04-14_final
2021-04-21 09:40:29	ga_ls7e_ard_3-2-0_102074_2021-04-21_final
2021-04-24 10:12:19	ga_ls7e_ard_3-2-0_107077_2021-04-24_final
2021-04-25 09:15:49	ga_ls7e_ard_3-2-0_098075_2021-04-24_final
2021-04-28 09:48:04	ga_ls7e_ard_3-2-0_103079_2021-04-28_final
2021-05-04 09:08:53	ga_ls7e_ard_3-2-0_097075_2021-05-03_final
2021-05-04 09:09:17	ga_ls7e_ard_3-2-0_097076_2021-05-03_final
2021-05-11 10:53:46	ga_ls7e_ard_3-2-0_114076_2021-05-11_final
2021-05-13 09:02:45	ga_ls7e_ard_3-2-0_096077_2021-05-12_final
2021-05-20 10:47:13	ga_ls7e_ard_3-2-0_113077_2021-05-20_final
2021-05-22 10:34:41	ga_ls7e_ard_3-2-0_111077_2021-05-22_final
2021-05-26 10:07:38	ga_ls7e_ard_3-2-0_107072_2021-05-26_final
2021-06-07 08:54:04	ga_ls7e_ard_3-2-0_095076_2021-06-06_final
2021-06-14 10:38:57	ga_ls7e_ard_3-2-0_112077_2021-06-14_final
2021-06-20 10:02:11	ga_ls7e_ard_3-2-0_106079_2021-06-20_final
2021-06-29 09:55:39	ga_ls7e_ard_3-2-0_105080_2021-06-29_final
2021-07-08 09:48:43	ga_ls7e_ard_3-2-0_104080_2021-07-08_final
2021-07-11 10:18:57	ga_ls7e_ard_3-2-0_109079_2021-07-11_final
2021-07-18 10:24:32	ga_ls7e_ard_3-2-0_110079_2021-07-18_final
2021-07-22 09:59:28	ga_ls7e_ard_3-2-0_106079_2021-07-22_final
2021-08-01 10:35:17	ga_ls7e_ard_3-2-0_112078_2021-08-01_final
2021-08-22 09:11:53	ga_ls7e_ard_3-2-0_099075_2021-08-21_final
2021-08-26 08:48:25	ga_ls7e_ard_3-2-0_095079_2021-08-25_final
2021-09-02 10:33:17	ga_ls7e_ard_3-2-0_112080_2021-09-02_final
2021-09-06 10:07:25	ga_ls7e_ard_3-2-0_108078_2021-09-06_final
2021-09-08 08:16:48	ga_ls7e_ard_3-2-0_090080_2021-09-07_final
2021-09-10 09:43:32	ga_ls7e_ard_3-2-0_104081_2021-09-10_final
2021-09-15 10:00:26	ga_ls7e_ard_3-2-0_107078_2021-09-15_final
2021-09-18 10:31:04	ga_ls7e_ard_3-2-0_112078_2021-09-18_final
2021-09-18 10:31:52	ga_ls7e_ard_3-2-0_112080_2021-09-18_final
2021-09-27 08:45:12	ga_ls7e_ard_3-2-0_095078_2021-09-26_final
2021-09-27 08:45:36	ga_ls7e_ard_3-2-0_095079_2021-09-26_final
2021-09-28 09:29:10	ga_ls7e_ard_3-2-0_102080_2021-09-27_final
2021-10-03 09:46:28	ga_ls7e_ard_3-2-0_105078_2021-10-03_final
2021-10-10 08:14:21	ga_ls7e_ard_3-2-0_090081_2021-10-09_final
2021-10-26 09:52:11	ga_ls7e_ard_3-2-0_106082_2021-10-26_final
2021-10-31 08:31:23	ga_ls7e_ard_3-2-0_093082_2021-10-30_final
2021-11-05 10:27:08	ga_ls7e_ard_3-2-0_112079_2021-11-05_final
2021-11-09 10:01:14	ga_ls7e_ard_3-2-0_108077_2021-11-09_final
2021-11-22 09:28:16	ga_ls7e_ard_3-2-1_103075_2021-11-21_final
2021-12-07 08:44:00	ga_ls7e_ard_3-2-1_096076_2021-12-06_final
2022-01-05 09:51:31	ga_ls7e_ard_3-2-1_107082_2022-01-05_final
2022-01-08 08:40:52	ga_ls7e_ard_3-2-1_096076_2022-01-07_final
2022-01-08 08:42:28	ga_ls7e_ard_3-2-1_096080_2022-01-07_final
2022-01-21 09:50:01	ga_ls7e_ard_3-2-1_107082_2022-01-21_final
2022-01-28 08:16:38	ga_ls7e_ard_3-2-1_092082_2022-01-27_final
2022-02-03 09:17:02	ga_ls7e_ard_3-2-1_102080_2022-02-02_final
2022-02-04 09:59:47	ga_ls7e_ard_3-2-1_109079_2022-02-04_final
2022-02-06 09:48:25	ga_ls7e_ard_3-2-1_107082_2022-02-06_final
2022-02-20 08:20:29	ga_ls7e_ard_3-2-1_093082_2022-02-19_final
2022-02-22 09:46:49	ga_ls7e_ard_3-2-1_107082_2022-02-22_final
2022-03-15 10:02:05	ga_ls7e_ard_3-2-1_110079_2022-03-15_final
2022-03-19 09:38:10	ga_ls7e_ard_3-2-1_106082_2022-03-19_final
2022-03-22 08:27:55	ga_ls7e_ard_3-2-1_095077_2022-03-21_final
2022-03-24 09:55:27	ga_ls7e_ard_3-2-1_109080_2022-03-24_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