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
2013-05-23 11:30:30	ga_ls7e_ard_3-0-0_112080_2013-05-23_final
2015-01-05 11:33:12	ga_ls7e_ard_3-0-0_112080_2015-01-05_final
2015-01-21 11:33:12	ga_ls7e_ard_3-0-0_112080_2015-01-21_final
2015-02-06 11:33:21	ga_ls7e_ard_3-0-0_112080_2015-02-06_final
2015-02-22 11:33:27	ga_ls7e_ard_3-0-0_112080_2015-02-22_final
2015-03-10 11:33:33	ga_ls7e_ard_3-0-0_112080_2015-03-10_final
2015-03-26 11:33:43	ga_ls7e_ard_3-0-0_112080_2015-03-26_final
2015-04-11 11:33:51	ga_ls7e_ard_3-0-0_112080_2015-04-11_final
2015-04-27 11:33:56	ga_ls7e_ard_3-0-0_112080_2015-04-27_final
2015-05-13 11:34:05	ga_ls7e_ard_3-0-0_112080_2015-05-13_final
2015-05-29 11:34:09	ga_ls7e_ard_3-0-0_112080_2015-05-29_final
2015-06-14 11:34:16	ga_ls7e_ard_3-0-0_112080_2015-06-14_final
2015-06-30 11:34:18	ga_ls7e_ard_3-0-0_112080_2015-06-30_final
2015-07-16 11:34:24	ga_ls7e_ard_3-0-0_112080_2015-07-16_final
2015-08-01 11:34:26	ga_ls7e_ard_3-0-0_112080_2015-08-01_final
2015-09-02 11:34:30	ga_ls7e_ard_3-0-0_112080_2015-09-02_final
2015-09-18 11:34:36	ga_ls7e_ard_3-0-0_112080_2015-09-18_final
2015-10-04 11:34:37	ga_ls7e_ard_3-0-0_112080_2015-10-04_final
2015-10-20 11:34:57	ga_ls7e_ard_3-0-0_112080_2015-10-20_final
2015-11-05 11:35:10	ga_ls7e_ard_3-0-0_112080_2015-11-05_final
2015-11-21 11:35:28	ga_ls7e_ard_3-0-0_112080_2015-11-21_final
2015-12-07 11:35:41	ga_ls7e_ard_3-0-0_112080_2015-12-07_final
2015-12-23 11:35:57	ga_ls7e_ard_3-0-0_112080_2015-12-23_final
2016-01-08 11:36:11	ga_ls7e_ard_3-0-0_112080_2016-01-08_final
2016-01-24 11:36:24	ga_ls7e_ard_3-0-0_112080_2016-01-24_final
2016-02-09 11:36:31	ga_ls7e_ard_3-0-0_112080_2016-02-09_final
2016-02-25 11:36:33	ga_ls7e_ard_3-0-0_112080_2016-02-25_final
2016-03-12 11:36:44	ga_ls7e_ard_3-0-0_112080_2016-03-12_final
2016-04-29 11:37:01	ga_ls7e_ard_3-0-0_112080_2016-04-29_final
2016-05-15 11:37:04	ga_ls7e_ard_3-0-0_112080_2016-05-15_final
2016-05-31 11:37:09	ga_ls7e_ard_3-0-0_112080_2016-05-31_final
2016-06-16 11:37:13	ga_ls7e_ard_3-0-0_112080_2016-06-16_final
2016-07-02 11:37:13	ga_ls7e_ard_3-0-0_112080_2016-07-02_final
2016-07-18 11:37:14	ga_ls7e_ard_3-0-0_112080_2016-07-18_final
2016-08-03 11:37:16	ga_ls7e_ard_3-0-0_112080_2016-08-03_final
2016-08-19 11:37:17	ga_ls7e_ard_3-0-0_112080_2016-08-19_final
2016-09-04 11:37:21	ga_ls7e_ard_3-0-0_112080_2016-09-04_final
2016-09-20 11:37:23	ga_ls7e_ard_3-0-0_112080_2016-09-20_final
2016-10-06 11:37:25	ga_ls7e_ard_3-0-0_112080_2016-10-06_final
2016-10-22 11:37:23	ga_ls7e_ard_3-0-0_112080_2016-10-22_final
2016-11-07 11:37:16	ga_ls7e_ard_3-0-0_112080_2016-11-07_final
2016-11-23 11:37:11	ga_ls7e_ard_3-0-0_112080_2016-11-23_final
2016-12-09 11:37:08	ga_ls7e_ard_3-0-0_112080_2016-12-09_final
2016-12-25 11:37:02	ga_ls7e_ard_3-0-0_112080_2016-12-25_final
2017-01-10 11:36:52	ga_ls7e_ard_3-0-0_112080_2017-01-10_final
2017-01-26 11:36:41	ga_ls7e_ard_3-0-0_112080_2017-01-26_final
2017-03-15 11:36:50	ga_ls7e_ard_3-0-0_112080_2017-03-15_final
2017-03-31 11:36:54	ga_ls7e_ard_3-0-0_112080_2017-03-31_final
2017-04-16 11:37:01	ga_ls7e_ard_3-0-0_112080_2017-04-16_final
2017-05-02 11:37:06	ga_ls7e_ard_3-0-0_112080_2017-05-02_final
2017-06-03 11:37:13	ga_ls7e_ard_3-0-0_112080_2017-06-03_final
2017-06-19 11:37:17	ga_ls7e_ard_3-0-0_112080_2017-06-19_final
2017-07-05 11:37:19	ga_ls7e_ard_3-0-0_112080_2017-07-05_final
2017-07-21 11:37:19	ga_ls7e_ard_3-0-0_112080_2017-07-21_final
2017-08-06 11:37:17	ga_ls7e_ard_3-0-0_112080_2017-08-06_final
2017-11-10 11:37:16	ga_ls7e_ard_3-0-0_112080_2017-11-10_final
2017-12-12 11:37:03	ga_ls7e_ard_3-0-0_112080_2017-12-12_final
2018-01-13 11:36:39	ga_ls7e_ard_3-0-0_112080_2018-01-13_final
2018-04-03 11:35:36	ga_ls7e_ard_3-0-0_112080_2018-04-03_final
2018-04-19 11:35:20	ga_ls7e_ard_3-0-0_112080_2018-04-19_final
2018-05-05 11:35:03	ga_ls7e_ard_3-0-0_112080_2018-05-05_final
2018-05-21 11:34:47	ga_ls7e_ard_3-0-0_112080_2018-05-21_final
2018-06-22 11:34:14	ga_ls7e_ard_3-0-0_112080_2018-06-22_final
2018-08-09 11:33:21	ga_ls7e_ard_3-0-0_112080_2018-08-09_final
2018-09-26 11:32:20	ga_ls7e_ard_3-0-0_112080_2018-09-26_final
2018-11-29 11:30:49	ga_ls7e_ard_3-0-0_112080_2018-11-29_final
2018-12-31 11:29:55	ga_ls7e_ard_3-0-0_112080_2018-12-31_final
2019-01-16 11:29:25	ga_ls7e_ard_3-0-0_112080_2019-01-16_final
2019-02-17 11:28:26	ga_ls7e_ard_3-1-0_112080_2019-02-17_final
2019-06-09 11:24:30	ga_ls7e_ard_3-0-0_112080_2019-06-09_final
2019-08-28 11:21:20	ga_ls7e_ard_3-1-0_112080_2019-08-28_final
2019-10-15 11:19:16	ga_ls7e_ard_3-1-0_112080_2019-10-15_final
2020-02-20 11:13:01	ga_ls7e_ard_3-1-0_112080_2020-02-20_final
2020-12-04 10:55:12	ga_ls7e_ard_3-1-0_112080_2020-12-04_final
2020-12-20 10:53:59	ga_ls7e_ard_3-1-0_112080_2020-12-20_final
2021-01-05 10:52:52	ga_ls7e_ard_3-1-0_112080_2021-01-05_final
2021-01-21 10:51:44	ga_ls7e_ard_3-2-0_112080_2021-01-21_final
2021-02-06 10:50:34	ga_ls7e_ard_3-2-0_112080_2021-02-06_final
2021-02-22 10:49:22	ga_ls7e_ard_3-2-0_112080_2021-02-22_final
2021-03-10 10:48:07	ga_ls7e_ard_3-2-0_112080_2021-03-10_final
2021-03-26 10:46:50	ga_ls7e_ard_3-2-0_112080_2021-03-26_final
2021-04-27 10:44:10	ga_ls7e_ard_3-2-0_112080_2021-04-27_final
2021-05-13 10:42:50	ga_ls7e_ard_3-2-0_112080_2021-05-13_final
2021-06-14 10:40:09	ga_ls7e_ard_3-2-0_112080_2021-06-14_final
2021-06-30 10:38:50	ga_ls7e_ard_3-2-0_112080_2021-06-30_final
2021-07-16 10:37:28	ga_ls7e_ard_3-2-0_112080_2021-07-16_final
2021-08-01 10:36:05	ga_ls7e_ard_3-2-0_112080_2021-08-01_final
2021-08-17 10:34:39	ga_ls7e_ard_3-2-0_112080_2021-08-17_final
2021-09-02 10:33:17	ga_ls7e_ard_3-2-0_112080_2021-09-02_final
2021-09-18 10:31:52	ga_ls7e_ard_3-2-0_112080_2021-09-18_final
2021-10-04 10:30:26	ga_ls7e_ard_3-2-0_112080_2021-10-04_final
2021-10-20 10:29:01	ga_ls7e_ard_3-2-0_112080_2021-10-20_final
2021-11-05 10:27:32	ga_ls7e_ard_3-2-0_112080_2021-11-05_final
2021-12-07 10:24:28	ga_ls7e_ard_3-2-1_112080_2021-12-07_final
2021-12-23 10:22:56	ga_ls7e_ard_3-2-1_112080_2021-12-23_final
2022-01-08 10:21:20	ga_ls7e_ard_3-2-1_112080_2022-01-08_final
2022-01-24 10:19:49	ga_ls7e_ard_3-2-1_112080_2022-01-24_final
2022-02-09 10:18:13	ga_ls7e_ard_3-2-1_112080_2022-02-09_final
2022-02-25 10:16:38	ga_ls7e_ard_3-2-1_112080_2022-02-25_final
2022-03-13 10:15:03	ga_ls7e_ard_3-2-1_112080_2022-03-13_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