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
2003-12-21 09:04:57	ga_ls7e_ard_3-1-0_089089_2003-12-20_final
2003-12-28 09:11:11	ga_ls7e_ard_3-1-0_090089_2003-12-27_final
2003-12-28 09:11:35	ga_ls7e_ard_3-0-0_090090_2003-12-27_final
2004-02-12 09:23:46	ga_ls7e_ard_3-0-0_092089_2004-02-11_final
2004-02-14 09:11:24	ga_ls7e_ard_3-0-0_090089_2004-02-13_final
2004-02-23 09:05:12	ga_ls7e_ard_3-1-0_089089_2004-02-22_final
2004-02-23 09:05:36	ga_ls7e_ard_3-0-0_089090_2004-02-22_final
2004-04-25 09:17:36	ga_ls7e_ard_3-0-0_091089_2004-04-24_final
2004-04-25 09:18:00	ga_ls7e_ard_3-0-0_091090_2004-04-24_final
2005-03-20 09:11:59	ga_ls7e_ard_3-0-0_090089_2005-03-19_final
2005-03-20 09:12:23	ga_ls7e_ard_3-0-0_090090_2005-03-19_final
2005-04-05 09:11:55	ga_ls7e_ard_3-0-0_090089_2005-04-04_final
2005-04-05 09:12:19	ga_ls7e_ard_3-0-0_090090_2005-04-04_final
2005-04-30 09:05:41	ga_ls7e_ard_3-0-0_089089_2005-04-29_final
2005-04-30 09:06:05	ga_ls7e_ard_3-0-0_089090_2005-04-29_final
2005-05-16 09:05:43	ga_ls7e_ard_3-0-0_089089_2005-05-15_final
2005-05-16 09:06:07	ga_ls7e_ard_3-0-0_089090_2005-05-15_final
2005-05-23 09:11:53	ga_ls7e_ard_3-0-0_090089_2005-05-22_final
2005-05-23 09:12:17	ga_ls7e_ard_3-0-0_090090_2005-05-22_final
2005-06-15 09:17:55	ga_ls7e_ard_3-0-0_091089_2005-06-14_final
2005-06-15 09:18:19	ga_ls7e_ard_3-0-0_091090_2005-06-14_final
2005-06-17 09:05:33	ga_ls7e_ard_3-0-0_089089_2005-06-16_final
2005-06-17 09:05:57	ga_ls7e_ard_3-0-0_089090_2005-06-16_final
2005-06-22 09:24:04	ga_ls7e_ard_3-0-0_092089_2005-06-21_final
2005-07-26 09:11:42	ga_ls7e_ard_3-0-0_090089_2005-07-25_final
2005-07-26 09:12:06	ga_ls7e_ard_3-0-0_090090_2005-07-25_final
2005-08-25 09:23:55	ga_ls7e_ard_3-0-0_092089_2005-08-24_final
2005-08-27 09:11:32	ga_ls7e_ard_3-0-0_090089_2005-08-26_final
2005-08-27 09:11:56	ga_ls7e_ard_3-0-0_090090_2005-08-26_final
2005-09-10 09:23:45	ga_ls7e_ard_3-0-0_092089_2005-09-09_final
2005-09-12 09:11:22	ga_ls7e_ard_3-0-0_090089_2005-09-11_final
2005-09-12 09:11:46	ga_ls7e_ard_3-0-0_090090_2005-09-11_final
2005-10-12 09:23:43	ga_ls7e_ard_3-0-0_092089_2005-10-11_final
2005-10-14 09:11:23	ga_ls7e_ard_3-0-0_090089_2005-10-13_final
2005-10-14 09:11:47	ga_ls7e_ard_3-0-0_090090_2005-10-13_final
2016-05-21 09:25:07	ga_ls7e_ard_3-0-0_090090_2016-05-20_final
2016-06-04 09:37:10	ga_ls7e_ard_3-0-0_092089_2016-06-04_final
2016-07-24 09:24:53	ga_ls7e_ard_3-0-0_090089_2016-07-23_final
2016-07-24 09:25:17	ga_ls7e_ard_3-0-0_090090_2016-07-23_final
2016-08-16 09:31:29	ga_ls7e_ard_3-0-0_091090_2016-08-16_final
2016-09-17 09:31:11	ga_ls7e_ard_3-0-0_091089_2016-09-17_final
2016-09-17 09:31:35	ga_ls7e_ard_3-0-0_091090_2016-09-17_final
2016-09-24 09:37:23	ga_ls7e_ard_3-0-0_092089_2016-09-24_final
2016-10-19 09:31:36	ga_ls7e_ard_3-0-0_091090_2016-10-19_final
2016-11-04 09:31:30	ga_ls7e_ard_3-0-0_091090_2016-11-04_final
2018-02-20 09:23:45	ga_ls7e_ard_3-0-0_090089_2018-02-19_final
2018-02-20 09:24:09	ga_ls7e_ard_3-0-0_090090_2018-02-19_final
2018-04-16 09:29:12	ga_ls7e_ard_3-0-0_091089_2018-04-15_final
2018-04-16 09:29:36	ga_ls7e_ard_3-0-0_091090_2018-04-15_final
2018-05-18 09:28:39	ga_ls7e_ard_3-0-0_091089_2018-05-17_final
2018-06-19 09:28:30	ga_ls7e_ard_3-0-0_091090_2018-06-18_final
2018-07-05 09:27:47	ga_ls7e_ard_3-0-0_091089_2018-07-04_final
2018-07-05 09:28:11	ga_ls7e_ard_3-0-0_091090_2018-07-04_final
2019-08-18 09:09:23	ga_ls7e_ard_3-0-0_090089_2019-08-17_final
2019-08-18 09:09:47	ga_ls7e_ard_3-0-0_090090_2019-08-17_final
2019-09-03 09:08:42	ga_ls7e_ard_3-1-0_090089_2019-09-02_final
2019-09-03 09:09:06	ga_ls7e_ard_3-1-0_090090_2019-09-02_final
2019-09-10 09:14:34	ga_ls7e_ard_3-1-0_091089_2019-09-09_final
2019-09-10 09:14:58	ga_ls7e_ard_3-1-0_091090_2019-09-09_final
2020-02-08 09:13:38	ga_ls7e_ard_3-1-0_092089_2020-02-07_final
2020-02-08 09:14:02	ga_ls7e_ard_3-1-0_092090_2020-02-07_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
2020-09-12 08:54:59	ga_ls7e_ard_3-1-0_091090_2020-09-11_final
2020-09-19 09:00:18	ga_ls7e_ard_3-1-0_092089_2020-09-18_final
2020-11-08 08:44:41	ga_ls7e_ard_3-1-0_090089_2020-11-07_final
2020-11-08 08:45:05	ga_ls7e_ard_3-1-0_090090_2020-11-07_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
2021-02-03 08:44:36	ga_ls7e_ard_3-2-0_091089_2021-02-02_final
2021-02-03 08:45:00	ga_ls7e_ard_3-2-0_091090_2021-02-02_final
2021-02-10 08:50:16	ga_ls7e_ard_3-2-0_092089_2021-02-09_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
2021-03-07 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
2021-03-23 08:40:54	ga_ls7e_ard_3-2-0_091089_2021-03-22_final
2021-03-23 08:41:18	ga_ls7e_ard_3-2-0_091090_2021-03-22_final
2021-04-01 08:33:59	ga_ls7e_ard_3-2-0_090089_2021-03-31_final
2021-04-01 08:34:23	ga_ls7e_ard_3-2-0_090090_2021-03-31_final
2021-12-29 08:09:58	ga_ls7e_ard_3-2-1_090089_2021-12-28_final
2021-12-29 08:10:22	ga_ls7e_ard_3-2-1_090090_2021-12-28_final
2022-01-12 08:20:58	ga_ls7e_ard_3-2-1_092089_2022-01-11_final
2022-01-21 08:13:56	ga_ls7e_ard_3-2-1_091089_2022-01-20_final
2022-01-21 08:14:20	ga_ls7e_ard_3-2-1_091090_2022-01-20_final
2022-02-06 08:12:20	ga_ls7e_ard_3-2-1_091089_2022-02-05_final
2022-02-06 08:12:44	ga_ls7e_ard_3-2-1_091090_2022-02-05_final
2022-02-15 08:05:13	ga_ls7e_ard_3-2-1_090089_2022-02-14_final
2022-02-15 08:05:37	ga_ls7e_ard_3-2-1_090090_2022-02-14_final
2022-02-22 08:10:44	ga_ls7e_ard_3-2-1_091089_2022-02-21_final
2022-02-22 08:11:08	ga_ls7e_ard_3-2-1_091090_2022-02-21_final
2022-03-01 08:16:15	ga_ls7e_ard_3-2-1_092089_2022-02-28_final
2022-03-03 08:03:41	ga_ls7e_ard_3-2-1_090089_2022-03-02_final
2022-03-03 08:04:05	ga_ls7e_ard_3-2-1_090090_2022-03-02_final
2022-03-10 08:09:11	ga_ls7e_ard_3-2-1_091089_2022-03-09_final
2022-03-10 08:09:35	ga_ls7e_ard_3-2-1_091090_2022-03-09_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