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
2000-05-25 09:14:39	ga_ls7e_ard_3-0-0_090090_2000-05-24_final
2000-07-21 09:07:52	ga_ls7e_ard_3-0-0_089090_2000-07-20_final
2000-07-28 09:13:29	ga_ls7e_ard_3-0-0_090089_2000-07-27_final
2000-07-28 09:13:53	ga_ls7e_ard_3-0-0_090090_2000-07-27_final
2000-08-06 09:07:37	ga_ls7e_ard_3-0-0_089090_2000-08-05_final
2000-09-14 09:13:18	ga_ls7e_ard_3-0-0_090090_2000-09-13_final
2000-10-07 09:19:16	ga_ls7e_ard_3-0-0_091090_2000-10-06_final
2000-10-09 09:06:53	ga_ls7e_ard_3-0-0_089090_2000-10-08_final
2000-10-30 09:25:00	ga_ls7e_ard_3-0-0_092089_2000-10-29_final
2000-12-10 09:19:14	ga_ls7e_ard_3-0-0_091090_2000-12-09_final
2000-12-12 09:06:53	ga_ls7e_ard_3-0-0_089090_2000-12-11_final
2001-01-11 09:19:20	ga_ls7e_ard_3-0-0_091090_2001-01-10_final
2001-01-13 09:06:59	ga_ls7e_ard_3-0-0_089090_2001-01-12_final
2001-03-02 09:06:50	ga_ls7e_ard_3-0-0_089090_2001-03-01_final
2001-12-04 09:23:08	ga_ls7e_ard_3-0-0_092089_2001-12-03_final
2001-12-04 09:23:32	ga_ls7e_ard_3-0-0_092090_2001-12-03_final
2001-12-13 09:17:07	ga_ls7e_ard_3-0-0_091089_2001-12-12_final
2001-12-22 09:10:58	ga_ls7e_ard_3-0-0_090089_2001-12-21_final
2001-12-29 09:17:06	ga_ls7e_ard_3-0-0_091089_2001-12-28_final
2001-12-29 09:17:30	ga_ls7e_ard_3-0-0_091090_2001-12-28_final
2001-12-31 09:04:41	ga_ls7e_ard_3-0-0_089089_2001-12-30_final
2002-01-05 09:23:20	ga_ls7e_ard_3-0-0_092089_2002-01-04_final
2008-04-29 09:12:46	ga_ls7e_ard_3-0-0_090090_2008-04-28_final
2020-07-10 08:58:39	ga_ls7e_ard_3-1-0_091089_2020-07-09_final
2020-07-10 08:59:03	ga_ls7e_ard_3-1-0_091090_2020-07-09_final
2020-07-17 09:04:24	ga_ls7e_ard_3-1-0_092089_2020-07-16_final
2020-07-19 08:51:56	ga_ls7e_ard_3-1-0_090089_2020-07-18_final
2020-07-19 08:52:19	ga_ls7e_ard_3-1-0_090090_2020-07-18_final
2020-08-04 08:50:56	ga_ls7e_ard_3-1-0_090089_2020-08-03_final
2020-08-04 08:51:20	ga_ls7e_ard_3-1-0_090090_2020-08-03_final
2020-08-11 08:56:40	ga_ls7e_ard_3-1-0_091089_2020-08-10_final
2020-08-11 08:57:04	ga_ls7e_ard_3-1-0_091090_2020-08-10_final
2020-08-20 08:49:55	ga_ls7e_ard_3-1-0_090089_2020-08-19_final
2020-08-20 08:50:19	ga_ls7e_ard_3-1-0_090090_2020-08-19_final
2020-09-03 09:01:22	ga_ls7e_ard_3-1-0_092089_2020-09-02_final
2020-09-05 08:48:52	ga_ls7e_ard_3-1-0_090089_2020-09-04_final
2020-09-05 08:49:16	ga_ls7e_ard_3-1-0_090090_2020-09-04_final
2020-09-19 09:00:18	ga_ls7e_ard_3-1-0_092089_2020-09-18_final
2020-09-21 08:47:48	ga_ls7e_ard_3-1-0_090089_2020-09-20_final
2020-09-21 08:48:12	ga_ls7e_ard_3-1-0_090090_2020-09-20_final
2020-09-28 08:53:32	ga_ls7e_ard_3-1-0_091089_2020-09-27_final
2020-10-07 08:46:47	ga_ls7e_ard_3-1-0_090089_2020-10-06_final
2020-10-07 08:47:11	ga_ls7e_ard_3-1-0_090090_2020-10-06_final
2020-10-14 08:52:31	ga_ls7e_ard_3-1-0_091089_2020-10-13_final
2020-10-14 08:52:55	ga_ls7e_ard_3-1-0_091090_2020-10-13_final
2020-10-21 08:58:15	ga_ls7e_ard_3-1-0_092089_2020-10-20_final
2020-10-30 08:51:28	ga_ls7e_ard_3-1-0_091089_2020-10-29_final
2020-10-30 08:51:52	ga_ls7e_ard_3-1-0_091090_2020-10-29_final
2020-11-24 08:43:57	ga_ls7e_ard_3-1-0_090090_2020-11-23_final
2020-12-10 08:42:23	ga_ls7e_ard_3-1-0_090089_2020-12-09_final
2020-12-10 08:42:47	ga_ls7e_ard_3-1-0_090090_2020-12-09_final
2021-02-10 08:50:16	ga_ls7e_ard_3-2-0_092089_2021-02-09_final
2021-02-12 08:37:45	ga_ls7e_ard_3-2-0_090089_2021-02-11_final
2021-02-12 08:38:09	ga_ls7e_ard_3-2-0_090090_2021-02-11_final
2021-02-19 08:43:24	ga_ls7e_ard_3-2-0_091089_2021-02-18_final
2021-02-19 08:43:48	ga_ls7e_ard_3-2-0_091090_2021-02-18_final
2021-02-26 08:49:03	ga_ls7e_ard_3-2-0_092089_2021-02-25_final
2021-02-28 08:36:32	ga_ls7e_ard_3-2-0_090089_2021-02-27_final
2021-02-28 08:36:56	ga_ls7e_ard_3-2-0_090090_2021-02-27_final
2021-03-07 08:42:10	ga_ls7e_ard_3-2-0_091089_2021-03-06_final
2021-03-07 08:42:34	ga_ls7e_ard_3-2-0_091090_2021-03-06_final
2021-03-14 08:47:48	ga_ls7e_ard_3-2-0_092089_2021-03-13_final
2021-03-16 08:35:17	ga_ls7e_ard_3-2-0_090089_2021-03-15_final
2021-03-16 08:35:41	ga_ls7e_ard_3-2-0_090090_2021-03-15_final
2021-05-01 08:43:50	ga_ls7e_ard_3-2-0_092089_2021-04-30_final
2021-05-03 08:31:18	ga_ls7e_ard_3-2-0_090089_2021-05-02_final
2021-05-17 08:42:29	ga_ls7e_ard_3-2-0_092089_2021-05-16_final
2021-05-19 08:29:58	ga_ls7e_ard_3-2-0_090089_2021-05-18_final
2021-05-26 08:35:32	ga_ls7e_ard_3-2-0_091089_2021-05-25_final
2021-06-02 08:41:07	ga_ls7e_ard_3-2-0_092089_2021-06-01_final
2021-06-04 08:28:36	ga_ls7e_ard_3-2-0_090089_2021-06-03_final
2021-06-04 08:28:59	ga_ls7e_ard_3-2-0_090090_2021-06-03_final
2021-06-11 08:34:12	ga_ls7e_ard_3-2-0_091089_2021-06-10_final
2021-06-11 08:34:36	ga_ls7e_ard_3-2-0_091090_2021-06-10_final
2021-06-18 08:39:49	ga_ls7e_ard_3-2-0_092089_2021-06-17_final
2021-06-20 08:27:18	ga_ls7e_ard_3-2-0_090089_2021-06-19_final
2021-06-20 08:27:41	ga_ls7e_ard_3-2-0_090090_2021-06-19_final
2021-06-27 08:32:54	ga_ls7e_ard_3-2-0_091089_2021-06-26_final
2021-07-04 08:38:29	ga_ls7e_ard_3-2-0_092089_2021-07-03_final
2021-07-06 08:25:57	ga_ls7e_ard_3-2-0_090089_2021-07-05_final
2021-07-13 08:31:32	ga_ls7e_ard_3-2-0_091089_2021-07-12_final
2021-07-13 08:31:56	ga_ls7e_ard_3-2-0_091090_2021-07-12_final
2021-07-29 08:30:09	ga_ls7e_ard_3-2-0_091089_2021-07-28_final
2021-07-29 08:30:33	ga_ls7e_ard_3-2-0_091090_2021-07-28_final
2021-08-07 08:23:11	ga_ls7e_ard_3-2-0_090089_2021-08-06_final
2021-08-30 08:27:21	ga_ls7e_ard_3-2-0_091089_2021-08-29_final
2021-08-30 08:27:45	ga_ls7e_ard_3-2-0_091090_2021-08-29_final
2021-09-06 08:32:55	ga_ls7e_ard_3-2-0_092089_2021-09-05_final
2021-09-08 08:20:23	ga_ls7e_ard_3-2-0_090089_2021-09-07_final
2021-09-08 08:20:47	ga_ls7e_ard_3-2-0_090090_2021-09-07_final
2021-09-15 08:25:57	ga_ls7e_ard_3-2-0_091089_2021-09-14_final
2021-09-24 08:18:58	ga_ls7e_ard_3-2-0_090089_2021-09-23_final
2021-09-24 08:19:22	ga_ls7e_ard_3-2-0_090090_2021-09-23_final
2021-10-01 08:24:31	ga_ls7e_ard_3-2-0_091089_2021-09-30_final
2021-10-10 08:17:33	ga_ls7e_ard_3-2-0_090089_2021-10-09_final
2021-10-10 08:17:57	ga_ls7e_ard_3-2-0_090090_2021-10-09_final
2021-10-17 08:23:06	ga_ls7e_ard_3-2-0_091089_2021-10-16_final
2021-10-26 08:16:06	ga_ls7e_ard_3-2-0_090089_2021-10-25_final
2021-10-26 08:16:30	ga_ls7e_ard_3-2-0_090090_2021-10-25_final
2021-11-11 08:14:36	ga_ls7e_ard_3-2-0_090089_2021-11-10_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years