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
2015-09-01 10:51:38	ga_ls7e_ard_3-0-0_105081_2015-09-01_final
2015-09-17 10:51:44	ga_ls7e_ard_3-0-0_105081_2015-09-17_final
2015-10-03 10:51:44	ga_ls7e_ard_3-0-0_105081_2015-10-03_final
2015-10-19 10:52:04	ga_ls7e_ard_3-0-0_105081_2015-10-19_final
2015-12-22 10:53:04	ga_ls7e_ard_3-0-0_105081_2015-12-22_final
2016-02-08 10:53:39	ga_ls7e_ard_3-0-0_105081_2016-02-08_final
2016-03-11 10:53:51	ga_ls7e_ard_3-0-0_105081_2016-03-11_final
2016-04-28 10:54:09	ga_ls7e_ard_3-0-0_105081_2016-04-28_final
2016-05-30 10:54:17	ga_ls7e_ard_3-0-0_105081_2016-05-30_final
2016-07-01 10:54:22	ga_ls7e_ard_3-0-0_105081_2016-07-01_final
2016-07-17 10:54:22	ga_ls7e_ard_3-0-0_105081_2016-07-17_final
2016-08-02 10:54:25	ga_ls7e_ard_3-0-0_105081_2016-08-02_final
2016-08-18 10:54:25	ga_ls7e_ard_3-0-0_105081_2016-08-18_final
2016-09-03 10:54:29	ga_ls7e_ard_3-0-0_105081_2016-09-03_final
2016-10-21 10:54:31	ga_ls7e_ard_3-0-0_105081_2016-10-21_final
2016-11-06 10:54:25	ga_ls7e_ard_3-0-0_105081_2016-11-06_final
2016-12-08 10:54:16	ga_ls7e_ard_3-0-0_105081_2016-12-08_final
2016-12-24 10:54:10	ga_ls7e_ard_3-0-0_105081_2016-12-24_final
2017-01-25 10:53:49	ga_ls7e_ard_3-0-0_105081_2017-01-25_final
2017-02-10 10:53:42	ga_ls7e_ard_3-0-0_105081_2017-02-10_final
2017-03-14 10:53:58	ga_ls7e_ard_3-0-0_105081_2017-03-14_final
2017-04-15 10:54:08	ga_ls7e_ard_3-0-0_105081_2017-04-15_final
2017-05-01 10:54:14	ga_ls7e_ard_3-0-0_105081_2017-05-01_final
2017-06-02 10:54:21	ga_ls7e_ard_3-0-0_105081_2017-06-02_final
2017-06-18 10:54:25	ga_ls7e_ard_3-0-0_105081_2017-06-18_final
2017-07-04 10:54:27	ga_ls7e_ard_3-0-0_105081_2017-07-04_final
2017-07-20 10:54:27	ga_ls7e_ard_3-0-0_105081_2017-07-20_final
2017-09-06 10:54:24	ga_ls7e_ard_3-0-0_105081_2017-09-06_final
2017-09-22 10:54:22	ga_ls7e_ard_3-0-0_105081_2017-09-22_final
2017-10-08 10:54:25	ga_ls7e_ard_3-0-0_105081_2017-10-08_final
2017-10-24 10:54:26	ga_ls7e_ard_3-0-0_105081_2017-10-24_final
2017-11-25 10:54:20	ga_ls7e_ard_3-0-0_105081_2017-11-25_final
2018-02-13 10:53:20	ga_ls7e_ard_3-0-0_105081_2018-02-13_final
2018-03-17 10:52:59	ga_ls7e_ard_3-0-0_105081_2018-03-17_final
2018-04-02 10:52:45	ga_ls7e_ard_3-0-0_105081_2018-04-02_final
2018-04-18 10:52:29	ga_ls7e_ard_3-0-0_105081_2018-04-18_final
2018-05-04 10:52:12	ga_ls7e_ard_3-0-0_105081_2018-05-04_final
2018-07-07 10:51:04	ga_ls7e_ard_3-0-0_105081_2018-07-07_final
2018-07-23 10:50:47	ga_ls7e_ard_3-0-0_105081_2018-07-23_final
2018-08-08 10:50:30	ga_ls7e_ard_3-0-0_105081_2018-08-08_final
2018-09-09 10:49:51	ga_ls7e_ard_3-0-0_105081_2018-09-09_final
2018-09-25 10:49:29	ga_ls7e_ard_3-0-0_105081_2018-09-25_final
2018-10-11 10:49:06	ga_ls7e_ard_3-0-0_105081_2018-10-11_final
2018-11-28 10:47:59	ga_ls7e_ard_3-0-0_105081_2018-11-28_final
2018-12-14 10:47:33	ga_ls7e_ard_3-0-0_105081_2018-12-14_final
2018-12-30 10:47:05	ga_ls7e_ard_3-0-0_105081_2018-12-30_final
2019-01-15 10:46:35	ga_ls7e_ard_3-0-0_105081_2019-01-15_final
2019-01-31 10:46:04	ga_ls7e_ard_3-0-0_105081_2019-01-31_final
2019-02-16 10:45:36	ga_ls7e_ard_3-1-0_105081_2019-02-16_final
2019-03-04 10:45:06	ga_ls7e_ard_3-1-0_105081_2019-03-04_final
2019-03-20 10:44:35	ga_ls7e_ard_3-1-0_105081_2019-03-20_final
2019-04-05 10:44:02	ga_ls7e_ard_3-0-0_105081_2019-04-05_final
2019-04-21 10:43:28	ga_ls7e_ard_3-0-0_105081_2019-04-21_final
2019-05-07 10:42:51	ga_ls7e_ard_3-0-0_105081_2019-05-07_final
2019-05-23 10:42:14	ga_ls7e_ard_3-0-0_105081_2019-05-23_final
2019-06-24 10:41:05	ga_ls7e_ard_3-0-0_105081_2019-06-24_final
2019-07-10 10:40:28	ga_ls7e_ard_3-0-0_105081_2019-07-10_final
2019-08-27 10:38:31	ga_ls7e_ard_3-1-0_105081_2019-08-27_final
2019-09-12 10:37:49	ga_ls7e_ard_3-1-0_105081_2019-09-12_final
2019-10-14 10:36:27	ga_ls7e_ard_3-1-0_105081_2019-10-14_final
2019-10-30 10:35:46	ga_ls7e_ard_3-1-0_105081_2019-10-30_final
2019-11-15 10:35:02	ga_ls7e_ard_3-1-0_105081_2019-11-15_final
2019-12-01 10:34:16	ga_ls7e_ard_3-1-0_105081_2019-12-01_final
2019-12-17 10:33:28	ga_ls7e_ard_3-1-0_105081_2019-12-17_final
2020-01-02 10:32:38	ga_ls7e_ard_3-1-0_105081_2020-01-02_final
2020-01-18 10:31:50	ga_ls7e_ard_3-1-0_105081_2020-01-18_final
2020-02-19 10:30:13	ga_ls7e_ard_3-1-0_105081_2020-02-19_final
2020-03-06 10:29:22	ga_ls7e_ard_3-1-0_105081_2020-03-06_final
2020-04-07 10:27:35	ga_ls7e_ard_3-1-0_105081_2020-04-07_final
2020-04-23 10:26:39	ga_ls7e_ard_3-1-0_105081_2020-04-23_final
2020-05-09 10:25:41	ga_ls7e_ard_3-1-0_105081_2020-05-09_final
2020-06-10 10:23:46	ga_ls7e_ard_3-1-0_105081_2020-06-10_final
2020-06-26 10:22:49	ga_ls7e_ard_3-1-0_105081_2020-06-26_final
2020-07-12 10:21:52	ga_ls7e_ard_3-1-0_105081_2020-07-12_final
2020-07-28 10:20:52	ga_ls7e_ard_3-1-0_105081_2020-07-28_final
2020-08-29 10:18:50	ga_ls7e_ard_3-1-0_105081_2020-08-29_final
2020-09-14 10:17:47	ga_ls7e_ard_3-1-0_105081_2020-09-14_final
2020-09-30 10:16:44	ga_ls7e_ard_3-1-0_105081_2020-09-30_final
2020-11-01 10:14:39	ga_ls7e_ard_3-1-0_105081_2020-11-01_final
2020-11-17 10:13:33	ga_ls7e_ard_3-1-0_105081_2020-11-17_final
2020-12-03 10:12:25	ga_ls7e_ard_3-1-0_105081_2020-12-03_final
2021-02-21 10:06:35	ga_ls7e_ard_3-2-0_105081_2021-02-21_final
2021-03-09 10:05:20	ga_ls7e_ard_3-2-0_105081_2021-03-09_final
2021-04-10 10:02:45	ga_ls7e_ard_3-2-0_105081_2021-04-10_final
2021-04-26 10:01:23	ga_ls7e_ard_3-2-0_105081_2021-04-26_final
2021-05-12 10:00:03	ga_ls7e_ard_3-2-0_105081_2021-05-12_final
2021-05-28 09:58:41	ga_ls7e_ard_3-2-0_105081_2021-05-28_final
2021-06-29 09:56:03	ga_ls7e_ard_3-2-0_105081_2021-06-29_final
2021-07-15 09:54:42	ga_ls7e_ard_3-2-0_105081_2021-07-15_final
2021-08-16 09:51:53	ga_ls7e_ard_3-2-0_105081_2021-08-16_final
2021-09-01 09:50:30	ga_ls7e_ard_3-2-0_105081_2021-09-01_final
2021-09-17 09:49:06	ga_ls7e_ard_3-2-0_105081_2021-09-17_final
2021-10-03 09:47:40	ga_ls7e_ard_3-2-0_105081_2021-10-03_final
2021-10-19 09:46:15	ga_ls7e_ard_3-2-0_105081_2021-10-19_final
2021-11-04 09:44:46	ga_ls7e_ard_3-2-0_105081_2021-11-04_final
2021-12-06 09:41:43	ga_ls7e_ard_3-2-1_105081_2021-12-06_final
2021-12-22 09:40:10	ga_ls7e_ard_3-2-1_105081_2021-12-22_final
2022-01-07 09:38:34	ga_ls7e_ard_3-2-1_105081_2022-01-07_final
2022-02-08 09:35:27	ga_ls7e_ard_3-2-1_105081_2022-02-08_final
2022-02-24 09:33:52	ga_ls7e_ard_3-2-1_105081_2022-02-24_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years