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
2014-02-23 09:28:34	ga_ls7e_ard_3-0-0_092082_2014-02-22_final
2014-04-12 09:28:53	ga_ls7e_ard_3-0-0_092082_2014-04-11_final
2014-04-28 09:29:04	ga_ls7e_ard_3-0-0_092082_2014-04-27_final
2014-05-14 09:29:10	ga_ls7e_ard_3-0-0_092082_2014-05-13_final
2014-07-17 09:29:22	ga_ls7e_ard_3-0-0_092082_2014-07-16_final
2014-08-18 09:29:30	ga_ls7e_ard_3-0-0_092082_2014-08-17_final
2014-10-05 09:29:46	ga_ls7e_ard_3-0-0_092082_2014-10-04_final
2014-10-21 09:29:55	ga_ls7e_ard_3-1-0_092082_2014-10-20_final
2014-11-06 09:30:05	ga_ls7e_ard_3-1-0_092082_2014-11-06_final
2014-11-22 09:30:07	ga_ls7e_ard_3-1-0_092082_2014-11-22_final
2014-12-24 09:30:23	ga_ls7e_ard_3-0-0_092082_2014-12-24_final
2015-02-26 09:30:41	ga_ls7e_ard_3-0-0_092082_2015-02-26_final
2015-05-01 09:31:10	ga_ls7e_ard_3-0-0_092082_2015-05-01_final
2015-06-02 09:31:23	ga_ls7e_ard_3-0-0_092082_2015-06-02_final
2015-07-04 09:31:31	ga_ls7e_ard_3-0-0_092082_2015-07-04_final
2015-07-20 09:31:36	ga_ls7e_ard_3-0-0_092082_2015-07-20_final
2015-08-05 09:31:39	ga_ls7e_ard_3-0-0_092082_2015-08-05_final
2015-08-21 09:31:42	ga_ls7e_ard_3-0-0_092082_2015-08-21_final
2015-10-08 09:31:54	ga_ls7e_ard_3-0-0_092082_2015-10-08_final
2015-12-27 09:33:10	ga_ls7e_ard_3-0-0_092082_2015-12-27_final
2016-04-01 09:34:01	ga_ls7e_ard_3-0-0_092082_2016-04-01_final
2016-05-03 09:34:14	ga_ls7e_ard_3-0-0_092082_2016-05-03_final
2016-05-19 09:34:16	ga_ls7e_ard_3-0-0_092082_2016-05-19_final
2016-09-08 09:34:33	ga_ls7e_ard_3-0-0_092082_2016-09-08_final
2016-09-24 09:34:36	ga_ls7e_ard_3-0-0_092082_2016-09-24_final
2016-10-10 09:34:37	ga_ls7e_ard_3-0-0_092082_2016-10-10_final
2016-10-26 09:34:33	ga_ls7e_ard_3-0-0_092082_2016-10-26_final
2016-11-11 09:34:26	ga_ls7e_ard_3-0-0_092082_2016-11-11_final
2016-11-27 09:34:22	ga_ls7e_ard_3-0-0_092082_2016-11-27_final
2016-12-13 09:34:18	ga_ls7e_ard_3-0-0_092082_2016-12-13_final
2016-12-29 09:34:11	ga_ls7e_ard_3-0-0_092082_2016-12-29_final
2017-01-14 09:34:01	ga_ls7e_ard_3-0-0_092082_2017-01-14_final
2017-01-30 09:33:52	ga_ls7e_ard_3-0-0_092082_2017-01-30_final
2017-02-15 09:33:48	ga_ls7e_ard_3-0-0_092082_2017-02-15_final
2017-03-03 09:33:57	ga_ls7e_ard_3-0-0_092082_2017-03-03_final
2017-04-04 09:34:06	ga_ls7e_ard_3-0-0_092082_2017-04-04_final
2017-04-20 09:34:14	ga_ls7e_ard_3-0-0_092082_2017-04-20_final
2017-05-06 09:34:19	ga_ls7e_ard_3-0-0_092082_2017-05-06_final
2017-05-22 09:34:21	ga_ls7e_ard_3-0-0_092082_2017-05-22_final
2017-06-07 09:34:26	ga_ls7e_ard_3-0-0_092082_2017-06-07_final
2017-06-23 09:34:29	ga_ls7e_ard_3-0-0_092082_2017-06-23_final
2017-07-09 09:34:31	ga_ls7e_ard_3-0-0_092082_2017-07-09_final
2017-07-25 09:34:30	ga_ls7e_ard_3-0-0_092082_2017-07-25_final
2017-08-10 09:34:28	ga_ls7e_ard_3-0-0_092082_2017-08-10_final
2017-08-26 09:34:28	ga_ls7e_ard_3-0-0_092082_2017-08-26_final
2017-09-11 09:34:27	ga_ls7e_ard_3-0-0_092082_2017-09-11_final
2017-09-27 09:34:27	ga_ls7e_ard_3-0-0_092082_2017-09-27_final
2017-10-13 09:34:29	ga_ls7e_ard_3-0-0_092082_2017-10-13_final
2017-10-29 09:34:29	ga_ls7e_ard_3-0-0_092082_2017-10-29_final
2017-11-14 09:34:27	ga_ls7e_ard_3-0-0_092082_2017-11-14_final
2017-12-16 09:34:13	ga_ls7e_ard_3-0-0_092082_2017-12-16_final
2018-01-17 09:33:47	ga_ls7e_ard_3-0-0_092082_2018-01-17_final
2018-02-18 09:33:21	ga_ls7e_ard_3-0-0_092082_2018-02-18_final
2018-03-06 09:33:10	ga_ls7e_ard_3-0-0_092082_2018-03-06_final
2018-03-22 09:32:58	ga_ls7e_ard_3-0-0_092082_2018-03-22_final
2018-04-07 09:32:44	ga_ls7e_ard_3-0-0_092082_2018-04-07_final
2018-04-23 09:32:28	ga_ls7e_ard_3-0-0_092082_2018-04-23_final
2018-05-09 09:32:10	ga_ls7e_ard_3-0-0_092082_2018-05-09_final
2018-05-25 09:31:55	ga_ls7e_ard_3-0-0_092082_2018-05-25_final
2018-06-10 09:31:39	ga_ls7e_ard_3-0-0_092082_2018-06-10_final
2018-06-26 09:31:21	ga_ls7e_ard_3-0-0_092082_2018-06-26_final
2018-07-12 09:31:02	ga_ls7e_ard_3-0-0_092082_2018-07-12_final
2018-08-13 09:30:28	ga_ls7e_ard_3-0-0_092082_2018-08-13_final
2018-09-30 09:29:26	ga_ls7e_ard_3-0-0_092082_2018-09-29_final
2018-10-16 09:29:01	ga_ls7e_ard_3-0-0_092082_2018-10-15_final
2018-11-01 09:28:41	ga_ls7e_ard_3-0-0_092082_2018-10-31_final
2018-11-17 09:28:19	ga_ls7e_ard_3-0-0_092082_2018-11-16_final
2018-12-19 09:27:28	ga_ls7e_ard_3-0-0_092082_2018-12-18_final
2019-01-04 09:27:00	ga_ls7e_ard_3-0-0_092082_2019-01-03_final
2019-03-09 09:25:00	ga_ls7e_ard_3-1-0_092082_2019-03-08_final
2019-04-10 09:23:55	ga_ls7e_ard_3-0-0_092082_2019-04-09_final
2019-05-12 09:22:43	ga_ls7e_ard_3-0-0_092082_2019-05-11_final
2019-05-28 09:22:07	ga_ls7e_ard_3-0-0_092082_2019-05-27_final
2019-07-15 09:20:20	ga_ls7e_ard_3-0-0_092082_2019-07-14_final
2019-07-31 09:19:42	ga_ls7e_ard_3-0-0_092082_2019-07-30_final
2019-09-17 09:17:39	ga_ls7e_ard_3-1-0_092082_2019-09-16_final
2019-11-04 09:15:36	ga_ls7e_ard_3-1-0_092082_2019-11-03_final
2019-11-20 09:14:51	ga_ls7e_ard_3-1-0_092082_2019-11-19_final
2019-12-22 09:13:16	ga_ls7e_ard_3-1-0_092082_2019-12-21_final
2020-01-07 09:12:26	ga_ls7e_ard_3-1-0_092082_2020-01-06_final
2020-02-24 09:10:01	ga_ls7e_ard_3-1-0_092082_2020-02-23_final
2020-04-28 09:06:24	ga_ls7e_ard_3-1-0_092082_2020-04-27_final
2020-05-14 09:05:26	ga_ls7e_ard_3-1-0_092082_2020-05-13_final
2020-08-02 09:00:37	ga_ls7e_ard_3-1-0_092082_2020-08-01_final
2020-09-19 08:57:30	ga_ls7e_ard_3-1-0_092082_2020-09-18_final
2020-10-05 08:56:29	ga_ls7e_ard_3-1-0_092082_2020-10-04_final
2020-10-21 08:55:27	ga_ls7e_ard_3-1-0_092082_2020-10-20_final
2021-07-20 08:34:19	ga_ls7e_ard_3-2-0_092082_2021-07-19_final
2021-08-05 08:32:55	ga_ls7e_ard_3-2-0_092082_2021-08-04_final
2021-09-06 08:30:08	ga_ls7e_ard_3-2-0_092082_2021-09-05_final
2021-09-22 08:28:42	ga_ls7e_ard_3-2-0_092082_2021-09-21_final
2021-10-08 08:27:17	ga_ls7e_ard_3-2-0_092082_2021-10-07_final
2021-10-24 08:25:51	ga_ls7e_ard_3-2-0_092082_2021-10-23_final
2021-11-09 08:24:21	ga_ls7e_ard_3-2-0_092082_2021-11-08_final
2021-12-11 08:21:18	ga_ls7e_ard_3-2-1_092082_2021-12-10_final
2021-12-27 08:19:44	ga_ls7e_ard_3-2-1_092082_2021-12-26_final
2022-01-12 08:18:10	ga_ls7e_ard_3-2-1_092082_2022-01-11_final
2022-01-28 08:16:38	ga_ls7e_ard_3-2-1_092082_2022-01-27_final
2022-03-01 08:13:27	ga_ls7e_ard_3-2-1_092082_2022-02-28_final
2022-03-17 08:11:51	ga_ls7e_ard_3-2-1_092082_2022-03-16_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