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
2016-10-12 10:55:33	ga_ls7e_ard_3-0-0_106068_2016-10-12_final
2016-10-28 10:55:29	ga_ls7e_ard_3-0-0_106068_2016-10-28_final
2016-12-15 10:55:14	ga_ls7e_ard_3-0-0_106068_2016-12-15_final
2017-02-01 10:54:47	ga_ls7e_ard_3-0-0_106068_2017-02-01_final
2017-04-06 10:55:03	ga_ls7e_ard_3-0-0_106068_2017-04-06_final
2017-04-22 10:55:11	ga_ls7e_ard_3-0-0_106068_2017-04-22_final
2017-05-24 10:55:18	ga_ls7e_ard_3-0-0_106068_2017-05-24_final
2017-06-09 10:55:23	ga_ls7e_ard_3-0-0_106068_2017-06-09_final
2017-06-25 10:55:26	ga_ls7e_ard_3-0-0_106068_2017-06-25_final
2017-07-11 10:55:27	ga_ls7e_ard_3-0-0_106068_2017-07-11_final
2017-07-27 10:55:26	ga_ls7e_ard_3-0-0_106068_2017-07-27_final
2017-08-12 10:55:24	ga_ls7e_ard_3-0-0_106068_2017-08-12_final
2017-09-13 10:55:23	ga_ls7e_ard_3-0-0_106068_2017-09-13_final
2017-09-29 10:55:23	ga_ls7e_ard_3-0-0_106068_2017-09-29_final
2017-10-15 10:55:25	ga_ls7e_ard_3-0-0_106068_2017-10-15_final
2017-11-16 10:55:23	ga_ls7e_ard_3-0-0_106068_2017-11-16_final
2017-12-02 10:55:17	ga_ls7e_ard_3-0-0_106068_2017-12-02_final
2017-12-18 10:55:08	ga_ls7e_ard_3-0-0_106068_2017-12-18_final
2018-01-03 10:54:56	ga_ls7e_ard_3-0-0_106068_2018-01-03_final
2018-01-19 10:54:42	ga_ls7e_ard_3-0-0_106068_2018-01-19_final
2018-02-04 10:54:26	ga_ls7e_ard_3-0-0_106068_2018-02-04_final
2018-03-08 10:54:05	ga_ls7e_ard_3-0-0_106068_2018-03-08_final
2018-03-24 10:53:52	ga_ls7e_ard_3-0-0_106068_2018-03-24_final
2018-04-09 10:53:38	ga_ls7e_ard_3-0-0_106068_2018-04-09_final
2018-04-25 10:53:22	ga_ls7e_ard_3-0-0_106068_2018-04-25_final
2018-05-11 10:53:04	ga_ls7e_ard_3-0-0_106068_2018-05-11_final
2018-06-12 10:52:33	ga_ls7e_ard_3-0-0_106068_2018-06-12_final
2018-06-28 10:52:15	ga_ls7e_ard_3-0-0_106068_2018-06-28_final
2018-07-14 10:51:56	ga_ls7e_ard_3-0-0_106068_2018-07-14_final
2018-09-16 10:50:41	ga_ls7e_ard_3-0-0_106068_2018-09-16_final
2018-10-02 10:50:19	ga_ls7e_ard_3-0-0_106068_2018-10-02_final
2018-10-18 10:49:55	ga_ls7e_ard_3-0-0_106068_2018-10-18_final
2018-12-05 10:48:48	ga_ls7e_ard_3-0-0_106068_2018-12-05_final
2018-12-21 10:48:21	ga_ls7e_ard_3-0-0_106068_2018-12-21_final
2019-01-22 10:47:21	ga_ls7e_ard_3-0-0_106068_2019-01-22_final
2019-02-07 10:46:52	ga_ls7e_ard_3-0-0_106068_2019-02-07_final
2019-02-23 10:46:23	ga_ls7e_ard_3-1-0_106068_2019-02-23_final
2019-03-11 10:45:52	ga_ls7e_ard_3-1-0_106068_2019-03-11_final
2019-03-27 10:45:20	ga_ls7e_ard_3-1-0_106068_2019-03-27_final
2019-04-12 10:44:47	ga_ls7e_ard_3-0-0_106068_2019-04-12_final
2019-04-28 10:44:12	ga_ls7e_ard_3-0-0_106068_2019-04-28_final
2019-05-14 10:43:35	ga_ls7e_ard_3-0-0_106068_2019-05-14_final
2019-05-30 10:42:59	ga_ls7e_ard_3-0-0_106068_2019-05-30_final
2019-06-15 10:42:24	ga_ls7e_ard_3-0-0_106068_2019-06-15_final
2019-07-01 10:41:49	ga_ls7e_ard_3-0-0_106068_2019-07-01_final
2019-07-17 10:41:11	ga_ls7e_ard_3-0-0_106068_2019-07-17_final
2019-08-02 10:40:33	ga_ls7e_ard_3-0-0_106068_2019-08-02_final
2019-08-18 10:39:53	ga_ls7e_ard_3-0-0_106068_2019-08-18_final
2019-09-03 10:39:12	ga_ls7e_ard_3-1-0_106068_2019-09-03_final
2019-09-19 10:38:30	ga_ls7e_ard_3-1-0_106068_2019-09-19_final
2019-10-05 10:37:49	ga_ls7e_ard_3-1-0_106068_2019-10-05_final
2019-10-21 10:37:09	ga_ls7e_ard_3-1-0_106068_2019-10-21_final
2019-11-06 10:36:26	ga_ls7e_ard_3-1-0_106068_2019-11-06_final
2019-11-22 10:35:42	ga_ls7e_ard_3-1-0_106068_2019-11-22_final
2019-12-08 10:34:55	ga_ls7e_ard_3-1-0_106068_2019-12-08_final
2019-12-24 10:34:06	ga_ls7e_ard_3-1-0_106068_2019-12-24_final
2020-01-25 10:32:29	ga_ls7e_ard_3-1-0_106068_2020-01-25_final
2020-02-10 10:31:41	ga_ls7e_ard_3-1-0_106068_2020-02-10_final
2020-03-13 10:29:58	ga_ls7e_ard_3-1-0_106068_2020-03-13_final
2020-03-29 10:29:05	ga_ls7e_ard_3-1-0_106068_2020-03-29_final
2020-04-14 10:28:10	ga_ls7e_ard_3-1-0_106068_2020-04-14_final
2020-04-30 10:27:13	ga_ls7e_ard_3-1-0_106068_2020-04-30_final
2020-05-16 10:26:15	ga_ls7e_ard_3-1-0_106068_2020-05-16_final
2020-06-01 10:25:17	ga_ls7e_ard_3-1-0_106068_2020-06-01_final
2020-06-17 10:24:21	ga_ls7e_ard_3-1-0_106068_2020-06-17_final
2020-07-03 10:23:24	ga_ls7e_ard_3-1-0_106068_2020-07-03_final
2020-07-19 10:22:25	ga_ls7e_ard_3-1-0_106068_2020-07-19_final
2020-08-04 10:21:26	ga_ls7e_ard_3-1-0_106068_2020-08-04_final
2020-08-20 10:20:25	ga_ls7e_ard_3-1-0_106068_2020-08-20_final
2020-09-05 10:19:22	ga_ls7e_ard_3-1-0_106068_2020-09-05_final
2020-09-21 10:18:18	ga_ls7e_ard_3-1-0_106068_2020-09-21_final
2020-10-07 10:17:17	ga_ls7e_ard_3-1-0_106068_2020-10-07_final
2020-10-23 10:16:15	ga_ls7e_ard_3-1-0_106068_2020-10-23_final
2020-11-08 10:15:10	ga_ls7e_ard_3-1-0_106068_2020-11-08_final
2020-11-24 10:14:03	ga_ls7e_ard_3-1-0_106068_2020-11-24_final
2020-12-10 10:12:53	ga_ls7e_ard_3-1-0_106068_2020-12-10_final
2020-12-26 10:11:41	ga_ls7e_ard_3-1-0_106068_2020-12-26_final
2021-02-12 10:08:15	ga_ls7e_ard_3-2-0_106068_2021-02-12_final
2021-04-01 10:04:29	ga_ls7e_ard_3-2-0_106068_2021-04-01_final
2021-04-17 10:03:09	ga_ls7e_ard_3-2-0_106068_2021-04-17_final
2021-05-03 10:01:48	ga_ls7e_ard_3-2-0_106068_2021-05-03_final
2021-05-19 10:00:27	ga_ls7e_ard_3-2-0_106068_2021-05-19_final
2021-06-04 09:59:05	ga_ls7e_ard_3-2-0_106068_2021-06-04_final
2021-06-20 09:57:47	ga_ls7e_ard_3-2-0_106068_2021-06-20_final
2021-07-06 09:56:27	ga_ls7e_ard_3-2-0_106068_2021-07-06_final
2021-07-22 09:55:05	ga_ls7e_ard_3-2-0_106068_2021-07-22_final
2021-08-07 09:53:41	ga_ls7e_ard_3-2-0_106068_2021-08-07_final
2021-08-23 09:52:16	ga_ls7e_ard_3-2-0_106068_2021-08-23_final
2021-09-08 09:50:53	ga_ls7e_ard_3-2-0_106068_2021-09-08_final
2021-09-24 09:49:27	ga_ls7e_ard_3-2-0_106068_2021-09-24_final
2021-10-10 09:48:03	ga_ls7e_ard_3-2-0_106068_2021-10-10_final
2021-10-26 09:46:36	ga_ls7e_ard_3-2-0_106068_2021-10-26_final
2021-11-11 09:45:05	ga_ls7e_ard_3-2-0_106068_2021-11-11_final
2021-11-27 09:43:32	ga_ls7e_ard_3-2-1_106068_2021-11-27_final
2021-12-13 09:42:02	ga_ls7e_ard_3-2-1_106068_2021-12-13_final
2021-12-29 09:40:28	ga_ls7e_ard_3-2-1_106068_2021-12-29_final
2022-01-14 09:38:55	ga_ls7e_ard_3-2-1_106068_2022-01-14_final
2022-02-15 09:35:43	ga_ls7e_ard_3-2-1_106068_2022-02-15_final
2022-03-03 09:34:11	ga_ls7e_ard_3-2-1_106068_2022-03-03_final
2022-03-19 09:32:35	ga_ls7e_ard_3-2-1_106068_2022-03-19_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