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
2015-02-20 10:02:31	ga_ls7e_ard_3-0-0_098069_2015-02-20_final
2015-04-09 10:02:55	ga_ls7e_ard_3-0-0_098069_2015-04-09_final
2015-05-11 10:03:09	ga_ls7e_ard_3-0-0_098069_2015-05-11_final
2015-06-12 10:03:21	ga_ls7e_ard_3-0-0_098069_2015-06-12_final
2015-06-28 10:03:22	ga_ls7e_ard_3-0-0_098069_2015-06-28_final
2015-07-14 10:03:29	ga_ls7e_ard_3-0-0_098069_2015-07-14_final
2015-07-30 10:03:31	ga_ls7e_ard_3-0-0_098069_2015-07-30_final
2015-09-16 10:03:41	ga_ls7e_ard_3-0-0_098069_2015-09-16_final
2015-10-18 10:04:00	ga_ls7e_ard_3-0-0_098069_2015-10-18_final
2015-11-03 10:04:13	ga_ls7e_ard_3-0-0_098069_2015-11-03_final
2015-11-19 10:04:31	ga_ls7e_ard_3-0-0_098069_2015-11-19_final
2015-12-21 10:05:00	ga_ls7e_ard_3-0-0_098069_2015-12-21_final
2016-01-06 10:05:14	ga_ls7e_ard_3-0-0_098069_2016-01-06_final
2016-01-22 10:05:28	ga_ls7e_ard_3-0-0_098069_2016-01-22_final
2016-02-23 10:05:37	ga_ls7e_ard_3-0-0_098069_2016-02-23_final
2016-03-26 10:05:54	ga_ls7e_ard_3-0-0_098069_2016-03-26_final
2016-04-11 10:05:58	ga_ls7e_ard_3-0-0_098069_2016-04-11_final
2016-04-27 10:06:06	ga_ls7e_ard_3-0-0_098069_2016-04-27_final
2016-06-14 10:06:18	ga_ls7e_ard_3-0-0_098069_2016-06-14_final
2016-06-30 10:06:19	ga_ls7e_ard_3-0-0_098069_2016-06-30_final
2016-07-16 10:06:19	ga_ls7e_ard_3-0-0_098069_2016-07-16_final
2016-08-17 10:06:22	ga_ls7e_ard_3-0-0_098069_2016-08-17_final
2016-10-04 10:06:30	ga_ls7e_ard_3-0-0_098069_2016-10-04_final
2016-10-20 10:06:29	ga_ls7e_ard_3-0-0_098069_2016-10-20_final
2016-11-05 10:06:23	ga_ls7e_ard_3-0-0_098069_2016-11-05_final
2016-11-21 10:06:17	ga_ls7e_ard_3-0-0_098069_2016-11-21_final
2016-12-07 10:06:14	ga_ls7e_ard_3-0-0_098069_2016-12-07_final
2017-01-08 10:05:58	ga_ls7e_ard_3-0-0_098069_2017-01-08_final
2017-01-24 10:05:47	ga_ls7e_ard_3-0-0_098069_2017-01-24_final
2017-02-25 10:05:48	ga_ls7e_ard_3-0-0_098069_2017-02-25_final
2017-03-29 10:05:59	ga_ls7e_ard_3-0-0_098069_2017-03-29_final
2017-04-14 10:06:05	ga_ls7e_ard_3-0-0_098069_2017-04-14_final
2017-05-16 10:06:14	ga_ls7e_ard_3-0-0_098069_2017-05-16_final
2017-06-17 10:06:22	ga_ls7e_ard_3-0-0_098069_2017-06-17_final
2017-07-03 10:06:24	ga_ls7e_ard_3-0-0_098069_2017-07-03_final
2017-07-19 10:06:24	ga_ls7e_ard_3-0-0_098069_2017-07-19_final
2017-08-04 10:06:23	ga_ls7e_ard_3-0-0_098069_2017-08-04_final
2017-08-20 10:06:21	ga_ls7e_ard_3-0-0_098069_2017-08-20_final
2017-09-05 10:06:21	ga_ls7e_ard_3-0-0_098069_2017-09-05_final
2017-09-21 10:06:19	ga_ls7e_ard_3-0-0_098069_2017-09-21_final
2017-10-07 10:06:21	ga_ls7e_ard_3-0-0_098069_2017-10-07_final
2017-10-23 10:06:23	ga_ls7e_ard_3-0-0_098069_2017-10-23_final
2017-11-08 10:06:22	ga_ls7e_ard_3-0-0_098069_2017-11-08_final
2017-11-24 10:06:17	ga_ls7e_ard_3-0-0_098069_2017-11-24_final
2017-12-10 10:06:10	ga_ls7e_ard_3-0-0_098069_2017-12-10_final
2017-12-26 10:05:59	ga_ls7e_ard_3-0-0_098069_2017-12-26_final
2018-01-11 10:05:46	ga_ls7e_ard_3-0-0_098069_2018-01-11_final
2018-02-12 10:05:18	ga_ls7e_ard_3-0-0_098069_2018-02-12_final
2018-02-28 10:05:08	ga_ls7e_ard_3-0-0_098069_2018-02-28_final
2018-03-16 10:04:56	ga_ls7e_ard_3-0-0_098069_2018-03-16_final
2018-04-01 10:04:43	ga_ls7e_ard_3-0-0_098069_2018-04-01_final
2018-04-17 10:04:28	ga_ls7e_ard_3-0-0_098069_2018-04-17_final
2018-05-03 10:04:10	ga_ls7e_ard_3-0-0_098069_2018-05-03_final
2018-05-19 10:03:55	ga_ls7e_ard_3-0-0_098069_2018-05-19_final
2018-06-04 10:03:39	ga_ls7e_ard_3-0-0_098069_2018-06-04_final
2018-06-20 10:03:22	ga_ls7e_ard_3-0-0_098069_2018-06-20_final
2018-07-06 10:03:03	ga_ls7e_ard_3-0-0_098069_2018-07-06_final
2018-07-22 10:02:45	ga_ls7e_ard_3-0-0_098069_2018-07-22_final
2018-08-07 10:02:28	ga_ls7e_ard_3-0-0_098069_2018-08-07_final
2018-08-23 10:02:10	ga_ls7e_ard_3-0-0_098069_2018-08-23_final
2018-09-08 10:01:50	ga_ls7e_ard_3-0-0_098069_2018-09-08_final
2018-09-24 10:01:28	ga_ls7e_ard_3-0-0_098069_2018-09-24_final
2018-10-10 10:01:04	ga_ls7e_ard_3-0-0_098069_2018-10-10_final
2018-10-26 10:00:43	ga_ls7e_ard_3-0-0_098069_2018-10-26_final
2018-11-11 10:00:21	ga_ls7e_ard_3-0-0_098069_2018-11-11_final
2018-11-27 09:59:58	ga_ls7e_ard_3-0-0_098069_2018-11-27_final
2018-12-13 09:59:32	ga_ls7e_ard_3-0-0_098069_2018-12-13_final
2019-01-14 09:58:34	ga_ls7e_ard_3-0-0_098069_2019-01-14_final
2019-01-30 09:58:03	ga_ls7e_ard_3-0-0_098069_2019-01-30_final
2019-02-15 09:57:35	ga_ls7e_ard_3-0-0_098069_2019-02-15_final
2019-03-03 09:57:05	ga_ls7e_ard_3-1-0_098069_2019-03-03_final
2019-04-20 09:55:27	ga_ls7e_ard_3-0-0_098069_2019-04-20_final
2019-05-06 09:54:51	ga_ls7e_ard_3-0-0_098069_2019-05-06_final
2019-05-22 09:54:13	ga_ls7e_ard_3-0-0_098069_2019-05-22_final
2019-06-07 09:53:39	ga_ls7e_ard_3-0-0_098069_2019-06-07_final
2019-06-23 09:53:04	ga_ls7e_ard_3-0-0_098069_2019-06-23_final
2019-07-09 09:52:28	ga_ls7e_ard_3-0-0_098069_2019-07-09_final
2019-08-10 09:51:11	ga_ls7e_ard_3-0-0_098069_2019-08-10_final
2019-08-26 09:50:30	ga_ls7e_ard_3-1-0_098069_2019-08-26_final
2019-09-11 09:49:49	ga_ls7e_ard_3-1-0_098069_2019-09-11_final
2019-09-27 09:49:06	ga_ls7e_ard_3-1-0_098069_2019-09-27_final
2019-11-14 09:47:02	ga_ls7e_ard_3-1-0_098069_2019-11-14_final
2019-12-16 09:45:28	ga_ls7e_ard_3-1-0_098069_2019-12-16_final
2020-05-08 09:37:42	ga_ls7e_ard_3-1-0_098069_2020-05-08_final
2020-05-24 09:36:42	ga_ls7e_ard_3-1-0_098069_2020-05-24_final
2021-07-30 09:05:21	ga_ls7e_ard_3-2-0_098069_2021-07-29_final
2021-08-15 09:03:55	ga_ls7e_ard_3-2-0_098069_2021-08-14_final
2021-08-31 09:02:32	ga_ls7e_ard_3-2-0_098069_2021-08-30_final
2021-09-16 09:01:08	ga_ls7e_ard_3-2-0_098069_2021-09-15_final
2021-10-02 08:59:42	ga_ls7e_ard_3-2-0_098069_2021-10-01_final
2021-10-18 08:58:17	ga_ls7e_ard_3-2-0_098069_2021-10-17_final
2021-11-03 08:56:49	ga_ls7e_ard_3-2-0_098069_2021-11-02_final
2021-11-19 08:55:16	ga_ls7e_ard_3-2-1_098069_2021-11-18_final
2021-12-05 08:53:45	ga_ls7e_ard_3-2-1_098069_2021-12-04_final
2021-12-21 08:52:13	ga_ls7e_ard_3-2-1_098069_2021-12-20_final
2022-01-06 08:50:37	ga_ls7e_ard_3-2-1_098069_2022-01-05_final
2022-01-22 08:49:06	ga_ls7e_ard_3-2-1_098069_2022-01-21_final
2022-02-07 08:47:31	ga_ls7e_ard_3-2-1_098069_2022-02-06_final
2022-02-23 08:45:55	ga_ls7e_ard_3-2-1_098069_2022-02-22_final
2022-03-11 08:44:21	ga_ls7e_ard_3-2-1_098069_2022-03-10_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