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
2015-09-28 10:28:02	ga_ls7e_ard_3-0-0_102068_2015-09-28_final
2015-10-30 10:28:30	ga_ls7e_ard_3-0-0_102068_2015-10-30_final
2015-11-15 10:28:47	ga_ls7e_ard_3-0-0_102068_2015-11-15_final
2015-12-01 10:28:59	ga_ls7e_ard_3-0-0_102068_2015-12-01_final
2015-12-17 10:29:16	ga_ls7e_ard_3-0-0_102068_2015-12-17_final
2016-01-02 10:29:29	ga_ls7e_ard_3-0-0_102068_2016-01-02_final
2016-01-18 10:29:44	ga_ls7e_ard_3-0-0_102068_2016-01-18_final
2016-02-03 10:29:53	ga_ls7e_ard_3-0-0_102068_2016-02-03_final
2016-02-19 10:29:57	ga_ls7e_ard_3-0-0_102068_2016-02-19_final
2016-03-06 10:30:05	ga_ls7e_ard_3-0-0_102068_2016-03-06_final
2016-03-22 10:30:12	ga_ls7e_ard_3-0-0_102068_2016-03-22_final
2016-04-23 10:30:24	ga_ls7e_ard_3-0-0_102068_2016-04-23_final
2016-05-09 10:30:28	ga_ls7e_ard_3-0-0_102068_2016-05-09_final
2016-05-25 10:30:31	ga_ls7e_ard_3-0-0_102068_2016-05-25_final
2016-06-10 10:30:36	ga_ls7e_ard_3-0-0_102068_2016-06-10_final
2016-06-26 10:30:38	ga_ls7e_ard_3-0-0_102068_2016-06-26_final
2016-07-12 10:30:37	ga_ls7e_ard_3-0-0_102068_2016-07-12_final
2016-07-28 10:30:40	ga_ls7e_ard_3-0-0_102068_2016-07-28_final
2016-08-29 10:30:45	ga_ls7e_ard_3-0-0_102068_2016-08-29_final
2016-09-14 10:30:47	ga_ls7e_ard_3-0-0_102068_2016-09-14_final
2016-09-30 10:30:49	ga_ls7e_ard_3-0-0_102068_2016-09-30_final
2016-10-16 10:30:49	ga_ls7e_ard_3-0-0_102068_2016-10-16_final
2016-11-01 10:30:44	ga_ls7e_ard_3-0-0_102068_2016-11-01_final
2016-11-17 10:30:36	ga_ls7e_ard_3-0-0_102068_2016-11-17_final
2016-12-03 10:30:34	ga_ls7e_ard_3-0-0_102068_2016-12-03_final
2016-12-19 10:30:29	ga_ls7e_ard_3-0-0_102068_2016-12-19_final
2017-01-04 10:30:20	ga_ls7e_ard_3-0-0_102068_2017-01-04_final
2017-01-20 10:30:09	ga_ls7e_ard_3-0-0_102068_2017-01-20_final
2017-02-21 10:30:05	ga_ls7e_ard_3-0-0_102068_2017-02-21_final
2017-03-09 10:30:12	ga_ls7e_ard_3-0-0_102068_2017-03-09_final
2017-03-25 10:30:17	ga_ls7e_ard_3-0-0_102068_2017-03-25_final
2017-04-10 10:30:22	ga_ls7e_ard_3-0-0_102068_2017-04-10_final
2017-05-12 10:30:33	ga_ls7e_ard_3-0-0_102068_2017-05-12_final
2017-05-28 10:30:36	ga_ls7e_ard_3-0-0_102068_2017-05-28_final
2017-06-13 10:30:41	ga_ls7e_ard_3-0-0_102068_2017-06-13_final
2017-06-29 10:30:43	ga_ls7e_ard_3-0-0_102068_2017-06-29_final
2017-07-15 10:30:44	ga_ls7e_ard_3-0-0_102068_2017-07-15_final
2017-07-31 10:30:43	ga_ls7e_ard_3-0-0_102068_2017-07-31_final
2017-08-16 10:30:40	ga_ls7e_ard_3-0-0_102068_2017-08-16_final
2017-09-01 10:30:41	ga_ls7e_ard_3-0-0_102068_2017-09-01_final
2017-09-17 10:30:39	ga_ls7e_ard_3-0-0_102068_2017-09-17_final
2017-10-03 10:30:40	ga_ls7e_ard_3-0-0_102068_2017-10-03_final
2017-10-19 10:30:42	ga_ls7e_ard_3-0-0_102068_2017-10-19_final
2017-11-04 10:30:42	ga_ls7e_ard_3-0-0_102068_2017-11-04_final
2017-11-20 10:30:38	ga_ls7e_ard_3-0-0_102068_2017-11-20_final
2017-12-06 10:30:31	ga_ls7e_ard_3-0-0_102068_2017-12-06_final
2017-12-22 10:30:22	ga_ls7e_ard_3-0-0_102068_2017-12-22_final
2018-01-07 10:30:09	ga_ls7e_ard_3-0-0_102068_2018-01-07_final
2018-02-08 10:29:39	ga_ls7e_ard_3-0-0_102068_2018-02-08_final
2018-02-24 10:29:30	ga_ls7e_ard_3-0-0_102068_2018-02-24_final
2018-03-28 10:29:06	ga_ls7e_ard_3-0-0_102068_2018-03-28_final
2018-04-13 10:28:51	ga_ls7e_ard_3-0-0_102068_2018-04-13_final
2018-04-29 10:28:34	ga_ls7e_ard_3-0-0_102068_2018-04-29_final
2018-05-15 10:28:17	ga_ls7e_ard_3-0-0_102068_2018-05-15_final
2018-05-31 10:28:03	ga_ls7e_ard_3-0-0_102068_2018-05-31_final
2018-06-16 10:27:46	ga_ls7e_ard_3-0-0_102068_2018-06-16_final
2018-07-02 10:27:27	ga_ls7e_ard_3-0-0_102068_2018-07-02_final
2018-07-18 10:27:09	ga_ls7e_ard_3-0-0_102068_2018-07-18_final
2018-08-03 10:26:52	ga_ls7e_ard_3-0-0_102068_2018-08-03_final
2018-08-19 10:26:34	ga_ls7e_ard_3-0-0_102068_2018-08-19_final
2018-09-04 10:26:14	ga_ls7e_ard_3-0-0_102068_2018-09-04_final
2018-09-20 10:25:53	ga_ls7e_ard_3-0-0_102068_2018-09-20_final
2018-10-06 10:25:30	ga_ls7e_ard_3-0-0_102068_2018-10-06_final
2018-10-22 10:25:07	ga_ls7e_ard_3-1-0_102068_2018-10-22_final
2018-11-07 10:24:46	ga_ls7e_ard_3-0-0_102068_2018-11-07_final
2018-11-23 10:24:23	ga_ls7e_ard_3-0-0_102068_2018-11-23_final
2018-12-09 10:23:58	ga_ls7e_ard_3-0-0_102068_2018-12-09_final
2019-01-10 10:23:01	ga_ls7e_ard_3-0-0_102068_2019-01-10_final
2019-01-26 10:22:30	ga_ls7e_ard_3-0-0_102068_2019-01-26_final
2019-02-11 10:22:01	ga_ls7e_ard_3-0-0_102068_2019-02-11_final
2019-02-27 10:21:32	ga_ls7e_ard_3-1-0_102068_2019-02-27_final
2019-03-15 10:21:01	ga_ls7e_ard_3-1-0_102068_2019-03-15_final
2019-03-31 10:20:29	ga_ls7e_ard_3-0-0_102068_2019-03-31_final
2019-05-18 10:18:42	ga_ls7e_ard_3-0-0_102068_2019-05-18_final
2019-06-19 10:17:32	ga_ls7e_ard_3-0-0_102068_2019-06-19_final
2019-07-05 10:16:56	ga_ls7e_ard_3-0-0_102068_2019-07-05_final
2019-08-06 10:15:40	ga_ls7e_ard_3-0-0_102068_2019-08-06_final
2019-08-22 10:15:00	ga_ls7e_ard_3-0-0_102068_2019-08-22_final
2019-09-07 10:14:18	ga_ls7e_ard_3-1-0_102068_2019-09-07_final
2019-09-23 10:13:36	ga_ls7e_ard_3-1-0_102068_2019-09-23_final
2019-10-09 10:12:56	ga_ls7e_ard_3-1-0_102068_2019-10-09_final
2019-10-25 10:12:15	ga_ls7e_ard_3-1-0_102068_2019-10-25_final
2019-11-10 10:11:32	ga_ls7e_ard_3-1-0_102068_2019-11-10_final
2019-11-26 10:10:47	ga_ls7e_ard_3-1-0_102068_2019-11-26_final
2020-01-13 10:08:21	ga_ls7e_ard_3-1-0_102068_2020-01-13_final
2020-01-29 10:07:34	ga_ls7e_ard_3-1-0_102068_2020-01-29_final
2020-02-14 10:06:45	ga_ls7e_ard_3-1-0_102068_2020-02-14_final
2021-08-27 09:27:12	ga_ls7e_ard_3-2-0_102068_2021-08-26_final
2021-09-12 09:25:49	ga_ls7e_ard_3-2-0_102068_2021-09-11_final
2021-09-28 09:24:22	ga_ls7e_ard_3-2-0_102068_2021-09-27_final
2021-10-14 09:22:58	ga_ls7e_ard_3-2-0_102068_2021-10-13_final
2021-10-30 09:21:31	ga_ls7e_ard_3-2-0_102068_2021-10-29_final
2021-11-15 09:19:59	ga_ls7e_ard_3-2-1_102068_2021-11-14_final
2021-12-01 09:18:27	ga_ls7e_ard_3-2-1_102068_2021-11-30_final
2021-12-17 09:16:56	ga_ls7e_ard_3-2-1_102068_2021-12-16_final
2022-01-02 09:15:20	ga_ls7e_ard_3-2-1_102068_2022-01-01_final
2022-01-18 09:13:49	ga_ls7e_ard_3-2-1_102068_2022-01-17_final
2022-02-03 09:12:15	ga_ls7e_ard_3-2-1_102068_2022-02-02_final
2022-02-19 09:10:37	ga_ls7e_ard_3-2-1_102068_2022-02-18_final
2022-03-07 09:09:04	ga_ls7e_ard_3-2-1_102068_2022-03-06_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