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:

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First 100 results (query limit)

Time (local)	Label
2016-11-13 11:00:08	ga_ls7e_ard_3-0-0_106080_2016-11-13_final
2016-11-29 11:00:05	ga_ls7e_ard_3-0-0_106080_2016-11-29_final
2016-12-31 10:59:54	ga_ls7e_ard_3-0-0_106080_2016-12-31_final
2017-01-16 10:59:43	ga_ls7e_ard_3-0-0_106080_2017-01-16_final
2017-02-01 10:59:35	ga_ls7e_ard_3-0-0_106080_2017-02-01_final
2017-02-17 10:59:33	ga_ls7e_ard_3-0-0_106080_2017-02-17_final
2017-03-05 10:59:41	ga_ls7e_ard_3-0-0_106080_2017-03-05_final
2017-03-21 10:59:47	ga_ls7e_ard_3-0-0_106080_2017-03-21_final
2017-04-06 10:59:51	ga_ls7e_ard_3-0-0_106080_2017-04-06_final
2017-05-08 11:00:03	ga_ls7e_ard_3-0-0_106080_2017-05-08_final
2017-05-24 11:00:05	ga_ls7e_ard_3-0-0_106080_2017-05-24_final
2017-06-09 11:00:10	ga_ls7e_ard_3-0-0_106080_2017-06-09_final
2017-07-27 11:00:14	ga_ls7e_ard_3-0-0_106080_2017-07-27_final
2017-08-12 11:00:11	ga_ls7e_ard_3-0-0_106080_2017-08-12_final
2017-09-13 11:00:10	ga_ls7e_ard_3-0-0_106080_2017-09-13_final
2017-10-15 11:00:12	ga_ls7e_ard_3-0-0_106080_2017-10-15_final
2017-10-31 11:00:13	ga_ls7e_ard_3-0-0_106080_2017-10-31_final
2017-11-16 11:00:10	ga_ls7e_ard_3-0-0_106080_2017-11-16_final
2017-12-02 11:00:04	ga_ls7e_ard_3-0-0_106080_2017-12-02_final
2017-12-18 10:59:55	ga_ls7e_ard_3-0-0_106080_2017-12-18_final
2018-01-03 10:59:43	ga_ls7e_ard_3-0-0_106080_2018-01-03_final
2018-02-04 10:59:13	ga_ls7e_ard_3-0-0_106080_2018-02-04_final
2018-02-20 10:59:03	ga_ls7e_ard_3-0-0_106080_2018-02-20_final
2018-03-24 10:58:40	ga_ls7e_ard_3-0-0_106080_2018-03-24_final
2018-04-09 10:58:25	ga_ls7e_ard_3-0-0_106080_2018-04-09_final
2018-04-25 10:58:09	ga_ls7e_ard_3-0-0_106080_2018-04-25_final
2018-05-27 10:57:37	ga_ls7e_ard_3-0-0_106080_2018-05-27_final
2018-06-12 10:57:20	ga_ls7e_ard_3-0-0_106080_2018-06-12_final
2018-06-28 10:57:02	ga_ls7e_ard_3-0-0_106080_2018-06-28_final
2018-07-14 10:56:43	ga_ls7e_ard_3-0-0_106080_2018-07-14_final
2018-07-30 10:56:27	ga_ls7e_ard_3-0-0_106080_2018-07-30_final
2018-08-15 10:56:09	ga_ls7e_ard_3-0-0_106080_2018-08-15_final
2018-09-16 10:55:29	ga_ls7e_ard_3-0-0_106080_2018-09-16_final
2018-10-02 10:55:06	ga_ls7e_ard_3-0-0_106080_2018-10-02_final
2018-10-18 10:54:42	ga_ls7e_ard_3-0-0_106080_2018-10-18_final
2018-11-19 10:54:00	ga_ls7e_ard_3-0-0_106080_2018-11-19_final
2018-12-05 10:53:35	ga_ls7e_ard_3-0-0_106080_2018-12-05_final
2018-12-21 10:53:08	ga_ls7e_ard_3-0-0_106080_2018-12-21_final
2019-01-06 10:52:39	ga_ls7e_ard_3-0-0_106080_2019-01-06_final
2019-01-22 10:52:09	ga_ls7e_ard_3-0-0_106080_2019-01-22_final
2019-02-07 10:51:39	ga_ls7e_ard_3-0-0_106080_2019-02-07_final
2019-02-23 10:51:10	ga_ls7e_ard_3-1-0_106080_2019-02-23_final
2019-03-11 10:50:40	ga_ls7e_ard_3-1-0_106080_2019-03-11_final
2019-04-12 10:49:34	ga_ls7e_ard_3-0-0_106080_2019-04-12_final
2019-04-28 10:48:59	ga_ls7e_ard_3-0-0_106080_2019-04-28_final
2019-05-14 10:48:22	ga_ls7e_ard_3-0-0_106080_2019-05-14_final
2019-05-30 10:47:46	ga_ls7e_ard_3-0-0_106080_2019-05-30_final
2019-06-15 10:47:12	ga_ls7e_ard_3-0-0_106080_2019-06-15_final
2019-07-01 10:46:36	ga_ls7e_ard_3-0-0_106080_2019-07-01_final
2019-07-17 10:45:59	ga_ls7e_ard_3-0-0_106080_2019-07-17_final
2019-08-02 10:45:20	ga_ls7e_ard_3-0-0_106080_2019-08-02_final
2019-08-18 10:44:40	ga_ls7e_ard_3-0-0_106080_2019-08-18_final
2019-09-03 10:43:59	ga_ls7e_ard_3-1-0_106080_2019-09-03_final
2019-09-19 10:43:17	ga_ls7e_ard_3-1-0_106080_2019-09-19_final
2019-10-05 10:42:36	ga_ls7e_ard_3-1-0_106080_2019-10-05_final
2019-10-21 10:41:56	ga_ls7e_ard_3-1-0_106080_2019-10-21_final
2019-11-06 10:41:14	ga_ls7e_ard_3-1-0_106080_2019-11-06_final
2019-11-22 10:40:29	ga_ls7e_ard_3-1-0_106080_2019-11-22_final
2019-12-08 10:39:42	ga_ls7e_ard_3-1-0_106080_2019-12-08_final
2019-12-24 10:38:54	ga_ls7e_ard_3-1-0_106080_2019-12-24_final
2020-01-25 10:37:16	ga_ls7e_ard_3-1-0_106080_2020-01-25_final
2020-02-10 10:36:28	ga_ls7e_ard_3-1-0_106080_2020-02-10_final
2020-02-26 10:35:37	ga_ls7e_ard_3-1-0_106080_2020-02-26_final
2020-03-29 10:33:52	ga_ls7e_ard_3-1-0_106080_2020-03-29_final
2020-04-14 10:32:57	ga_ls7e_ard_3-1-0_106080_2020-04-14_final
2020-04-30 10:32:01	ga_ls7e_ard_3-1-0_106080_2020-04-30_final
2020-05-16 10:31:02	ga_ls7e_ard_3-1-0_106080_2020-05-16_final
2020-06-01 10:30:04	ga_ls7e_ard_3-1-0_106080_2020-06-01_final
2020-06-17 10:29:08	ga_ls7e_ard_3-1-0_106080_2020-06-17_final
2020-07-03 10:28:11	ga_ls7e_ard_3-1-0_106080_2020-07-03_final
2020-07-19 10:27:13	ga_ls7e_ard_3-1-0_106080_2020-07-19_final
2020-08-04 10:26:13	ga_ls7e_ard_3-1-0_106080_2020-08-04_final
2020-08-20 10:25:12	ga_ls7e_ard_3-1-0_106080_2020-08-20_final
2020-09-05 10:24:09	ga_ls7e_ard_3-1-0_106080_2020-09-05_final
2020-09-21 10:23:05	ga_ls7e_ard_3-1-0_106080_2020-09-21_final
2020-10-07 10:22:05	ga_ls7e_ard_3-1-0_106080_2020-10-07_final
2020-10-23 10:21:02	ga_ls7e_ard_3-1-0_106080_2020-10-23_final
2020-11-08 10:19:58	ga_ls7e_ard_3-1-0_106080_2020-11-08_final
2020-11-24 10:18:51	ga_ls7e_ard_3-1-0_106080_2020-11-24_final
2021-02-28 10:11:49	ga_ls7e_ard_3-2-0_106080_2021-02-28_final
2021-03-16 10:10:34	ga_ls7e_ard_3-2-0_106080_2021-03-16_final
2021-04-01 10:09:16	ga_ls7e_ard_3-2-0_106080_2021-04-01_final
2021-04-17 10:07:56	ga_ls7e_ard_3-2-0_106080_2021-04-17_final
2021-05-19 10:05:15	ga_ls7e_ard_3-2-0_106080_2021-05-19_final
2021-06-04 10:03:53	ga_ls7e_ard_3-2-0_106080_2021-06-04_final
2021-06-20 10:02:35	ga_ls7e_ard_3-2-0_106080_2021-06-20_final
2021-07-06 10:01:14	ga_ls7e_ard_3-2-0_106080_2021-07-06_final
2021-07-22 09:59:52	ga_ls7e_ard_3-2-0_106080_2021-07-22_final
2021-08-07 09:58:28	ga_ls7e_ard_3-2-0_106080_2021-08-07_final
2021-08-23 09:57:03	ga_ls7e_ard_3-2-0_106080_2021-08-23_final
2021-09-08 09:55:40	ga_ls7e_ard_3-2-0_106080_2021-09-08_final
2021-09-24 09:54:15	ga_ls7e_ard_3-2-0_106080_2021-09-24_final
2021-10-10 09:52:50	ga_ls7e_ard_3-2-0_106080_2021-10-10_final
2021-10-26 09:51:23	ga_ls7e_ard_3-2-0_106080_2021-10-26_final
2021-11-27 09:48:20	ga_ls7e_ard_3-2-1_106080_2021-11-27_final
2021-12-13 09:46:49	ga_ls7e_ard_3-2-1_106080_2021-12-13_final
2021-12-29 09:45:15	ga_ls7e_ard_3-2-1_106080_2021-12-29_final
2022-01-14 09:43:42	ga_ls7e_ard_3-2-1_106080_2022-01-14_final
2022-01-30 09:42:09	ga_ls7e_ard_3-2-1_106080_2022-01-30_final
2022-03-19 09:37:22	ga_ls7e_ard_3-2-1_106080_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years