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
2015-08-01 11:34:26	ga_ls7e_ard_3-0-0_112080_2015-08-01_final
2015-12-23 11:35:57	ga_ls7e_ard_3-0-0_112080_2015-12-23_final
2016-01-24 11:36:24	ga_ls7e_ard_3-0-0_112080_2016-01-24_final
2016-05-31 11:37:09	ga_ls7e_ard_3-0-0_112080_2016-05-31_final
2016-09-04 11:37:21	ga_ls7e_ard_3-0-0_112080_2016-09-04_final
2016-10-22 11:37:23	ga_ls7e_ard_3-0-0_112080_2016-10-22_final
2017-03-31 11:36:54	ga_ls7e_ard_3-0-0_112080_2017-03-31_final
2017-07-05 11:37:19	ga_ls7e_ard_3-0-0_112080_2017-07-05_final
2017-11-10 11:37:16	ga_ls7e_ard_3-0-0_112080_2017-11-10_final
2017-11-26 11:37:11	ga_ls7e_ard_3-0-0_112080_2017-11-26_final
2017-12-12 11:37:03	ga_ls7e_ard_3-0-0_112080_2017-12-12_final
2017-12-28 11:36:53	ga_ls7e_ard_3-0-0_112080_2017-12-28_final
2018-01-13 11:36:39	ga_ls7e_ard_3-0-0_112080_2018-01-13_final
2018-01-29 11:36:24	ga_ls7e_ard_3-0-0_112080_2018-01-29_final
2018-02-14 11:36:11	ga_ls7e_ard_3-0-0_112080_2018-02-14_final
2018-03-02 11:36:01	ga_ls7e_ard_3-0-0_112080_2018-03-02_final
2018-03-18 11:35:50	ga_ls7e_ard_3-0-0_112080_2018-03-18_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
2018-06-06 11:34:32	ga_ls7e_ard_3-0-0_112080_2018-06-06_final
2018-06-22 11:34:14	ga_ls7e_ard_3-0-0_112080_2018-06-22_final
2018-07-08 11:33:55	ga_ls7e_ard_3-0-0_112080_2018-07-08_final
2018-07-24 11:33:38	ga_ls7e_ard_3-0-0_112080_2018-07-24_final
2018-08-09 11:33:21	ga_ls7e_ard_3-0-0_112080_2018-08-09_final
2018-08-25 11:33:02	ga_ls7e_ard_3-0-0_112080_2018-08-25_final
2018-09-10 11:32:42	ga_ls7e_ard_3-0-0_112080_2018-09-10_final
2018-09-26 11:32:20	ga_ls7e_ard_3-0-0_112080_2018-09-26_final
2018-10-12 11:31:56	ga_ls7e_ard_3-0-0_112080_2018-10-12_final
2018-10-28 11:31:35	ga_ls7e_ard_3-0-0_112080_2018-10-28_final
2018-11-13 11:31:13	ga_ls7e_ard_3-0-0_112080_2018-11-13_final
2018-11-29 11:30:49	ga_ls7e_ard_3-0-0_112080_2018-11-29_final
2018-12-15 11:30:23	ga_ls7e_ard_3-0-0_112080_2018-12-15_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
2019-02-01 11:28:54	ga_ls7e_ard_3-0-0_112080_2019-02-01_final
2019-02-17 11:28:26	ga_ls7e_ard_3-1-0_112080_2019-02-17_final
2019-03-05 11:27:56	ga_ls7e_ard_3-1-0_112080_2019-03-05_final
2019-04-06 11:26:52	ga_ls7e_ard_3-0-0_112080_2019-04-06_final
2019-04-22 11:26:17	ga_ls7e_ard_3-0-0_112080_2019-04-22_final
2019-05-08 11:25:41	ga_ls7e_ard_3-0-0_112080_2019-05-08_final
2019-05-24 11:25:03	ga_ls7e_ard_3-0-0_112080_2019-05-24_final
2019-06-09 11:24:30	ga_ls7e_ard_3-0-0_112080_2019-06-09_final
2019-06-25 11:23:54	ga_ls7e_ard_3-0-0_112080_2019-06-25_final
2019-07-11 11:23:18	ga_ls7e_ard_3-0-0_112080_2019-07-11_final
2019-07-27 11:22:40	ga_ls7e_ard_3-0-0_112080_2019-07-27_final
2019-08-12 11:22:00	ga_ls7e_ard_3-0-0_112080_2019-08-12_final
2019-08-28 11:21:20	ga_ls7e_ard_3-1-0_112080_2019-08-28_final
2019-09-13 11:20:38	ga_ls7e_ard_3-1-0_112080_2019-09-13_final
2019-09-29 11:19:56	ga_ls7e_ard_3-1-0_112080_2019-09-29_final
2019-10-15 11:19:16	ga_ls7e_ard_3-1-0_112080_2019-10-15_final
2019-10-31 11:18:35	ga_ls7e_ard_3-1-0_112080_2019-10-31_final
2019-11-16 11:17:51	ga_ls7e_ard_3-1-0_112080_2019-11-16_final
2019-12-02 11:17:05	ga_ls7e_ard_3-1-0_112080_2019-12-02_final
2019-12-18 11:16:17	ga_ls7e_ard_3-1-0_112080_2019-12-18_final
2020-01-03 11:15:27	ga_ls7e_ard_3-1-0_112080_2020-01-03_final
2020-01-19 11:14:39	ga_ls7e_ard_3-1-0_112080_2020-01-19_final
2020-02-04 11:13:51	ga_ls7e_ard_3-1-0_112080_2020-02-04_final
2020-02-20 11:13:01	ga_ls7e_ard_3-1-0_112080_2020-02-20_final
2020-03-07 11:12:10	ga_ls7e_ard_3-1-0_112080_2020-03-07_final
2020-03-23 11:11:17	ga_ls7e_ard_3-1-0_112080_2020-03-23_final
2020-04-08 11:10:23	ga_ls7e_ard_3-1-0_112080_2020-04-08_final
2020-04-24 11:09:27	ga_ls7e_ard_3-1-0_112080_2020-04-24_final
2020-05-10 11:08:29	ga_ls7e_ard_3-1-0_112080_2020-05-10_final
2020-05-26 11:07:29	ga_ls7e_ard_3-1-0_112080_2020-05-26_final
2020-06-11 11:06:34	ga_ls7e_ard_3-1-0_112080_2020-06-11_final
2020-06-27 11:05:37	ga_ls7e_ard_3-1-0_112080_2020-06-27_final
2020-07-13 11:04:40	ga_ls7e_ard_3-1-0_112080_2020-07-13_final
2020-07-29 11:03:40	ga_ls7e_ard_3-1-0_112080_2020-07-29_final
2020-08-14 11:02:40	ga_ls7e_ard_3-1-0_112080_2020-08-14_final
2020-08-30 11:01:38	ga_ls7e_ard_3-1-0_112080_2020-08-30_final
2020-09-15 11:00:34	ga_ls7e_ard_3-1-0_112080_2020-09-15_final
2020-10-01 10:59:32	ga_ls7e_ard_3-1-0_112080_2020-10-01_final
2020-10-17 10:58:31	ga_ls7e_ard_3-1-0_112080_2020-10-17_final
2020-11-02 10:57:27	ga_ls7e_ard_3-1-0_112080_2020-11-02_final
2020-11-18 10:56:21	ga_ls7e_ard_3-1-0_112080_2020-11-18_final
2020-12-04 10:55:12	ga_ls7e_ard_3-1-0_112080_2020-12-04_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