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:

Add field

First 100 results (query limit)

Time (local)	Label
2017-02-03 10:42:49	ga_ls7e_ard_3-0-0_104069_2017-02-03_final
2017-03-07 10:42:57	ga_ls7e_ard_3-0-0_104069_2017-03-07_final
2017-04-24 10:43:14	ga_ls7e_ard_3-0-0_104069_2017-04-24_final
2017-05-10 10:43:18	ga_ls7e_ard_3-0-0_104069_2017-05-10_final
2017-06-11 10:43:26	ga_ls7e_ard_3-0-0_104069_2017-06-11_final
2017-07-13 10:43:29	ga_ls7e_ard_3-0-0_104069_2017-07-13_final
2017-08-30 10:43:26	ga_ls7e_ard_3-0-0_104069_2017-08-30_final
2017-09-15 10:43:25	ga_ls7e_ard_3-0-0_104069_2017-09-15_final
2017-10-01 10:43:25	ga_ls7e_ard_3-0-0_104069_2017-10-01_final
2017-11-02 10:43:28	ga_ls7e_ard_3-0-0_104069_2017-11-02_final
2017-11-18 10:43:24	ga_ls7e_ard_3-0-0_104069_2017-11-18_final
2017-12-04 10:43:18	ga_ls7e_ard_3-0-0_104069_2017-12-04_final
2017-12-20 10:43:08	ga_ls7e_ard_3-0-0_104069_2017-12-20_final
2018-01-05 10:42:56	ga_ls7e_ard_3-0-0_104069_2018-01-05_final
2018-02-06 10:42:26	ga_ls7e_ard_3-0-0_104069_2018-02-06_final
2018-03-10 10:42:06	ga_ls7e_ard_3-0-0_104069_2018-03-10_final
2018-03-26 10:41:53	ga_ls7e_ard_3-0-0_104069_2018-03-26_final
2018-04-11 10:41:38	ga_ls7e_ard_3-0-0_104069_2018-04-11_final
2018-04-27 10:41:22	ga_ls7e_ard_3-0-0_104069_2018-04-27_final
2018-05-13 10:41:05	ga_ls7e_ard_3-0-0_104069_2018-05-13_final
2018-05-29 10:40:50	ga_ls7e_ard_3-0-0_104069_2018-05-29_final
2018-06-30 10:40:15	ga_ls7e_ard_3-0-0_104069_2018-06-30_final
2018-08-01 10:39:40	ga_ls7e_ard_3-0-0_104069_2018-08-01_final
2018-08-17 10:39:22	ga_ls7e_ard_3-0-0_104069_2018-08-17_final
2018-09-02 10:39:02	ga_ls7e_ard_3-0-0_104069_2018-09-02_final
2018-09-18 10:38:41	ga_ls7e_ard_3-0-0_104069_2018-09-18_final
2018-10-20 10:37:55	ga_ls7e_ard_3-0-0_104069_2018-10-20_final
2018-11-05 10:37:34	ga_ls7e_ard_3-0-0_104069_2018-11-05_final
2018-12-07 10:36:47	ga_ls7e_ard_3-0-0_104069_2018-12-07_final
2018-12-23 10:36:20	ga_ls7e_ard_3-0-0_104069_2018-12-23_final
2019-01-08 10:35:51	ga_ls7e_ard_3-0-0_104069_2019-01-08_final
2019-01-24 10:35:20	ga_ls7e_ard_3-0-0_104069_2019-01-24_final
2019-02-09 10:34:50	ga_ls7e_ard_3-0-0_104069_2019-02-09_final
2019-03-13 10:33:51	ga_ls7e_ard_3-1-0_104069_2019-03-13_final
2019-03-29 10:33:19	ga_ls7e_ard_3-1-0_104069_2019-03-29_final
2019-04-14 10:32:45	ga_ls7e_ard_3-0-0_104069_2019-04-14_final
2019-04-30 10:32:09	ga_ls7e_ard_3-0-0_104069_2019-04-30_final
2019-05-16 10:31:32	ga_ls7e_ard_3-0-0_104069_2019-05-16_final
2019-06-01 10:30:57	ga_ls7e_ard_3-0-0_104069_2019-06-01_final
2019-06-17 10:30:22	ga_ls7e_ard_3-0-0_104069_2019-06-17_final
2019-07-03 10:29:46	ga_ls7e_ard_3-0-0_104069_2019-07-03_final
2019-07-19 10:29:09	ga_ls7e_ard_3-0-0_104069_2019-07-19_final
2019-08-04 10:28:30	ga_ls7e_ard_3-0-0_104069_2019-08-04_final
2019-08-20 10:27:50	ga_ls7e_ard_3-0-0_104069_2019-08-20_final
2019-09-05 10:27:09	ga_ls7e_ard_3-1-0_104069_2019-09-05_final
2019-09-21 10:26:27	ga_ls7e_ard_3-1-0_104069_2019-09-21_final
2019-10-07 10:25:47	ga_ls7e_ard_3-1-0_104069_2019-10-07_final
2019-10-23 10:25:06	ga_ls7e_ard_3-1-0_104069_2019-10-23_final
2019-11-08 10:24:23	ga_ls7e_ard_3-1-0_104069_2019-11-08_final
2019-11-24 10:23:38	ga_ls7e_ard_3-1-0_104069_2019-11-24_final
2019-12-10 10:22:51	ga_ls7e_ard_3-1-0_104069_2019-12-10_final
2019-12-26 10:22:02	ga_ls7e_ard_3-1-0_104069_2019-12-26_final
2020-01-27 10:20:26	ga_ls7e_ard_3-1-0_104069_2020-01-27_final
2020-02-12 10:19:37	ga_ls7e_ard_3-1-0_104069_2020-02-12_final
2020-02-28 10:18:46	ga_ls7e_ard_3-1-0_104069_2020-02-28_final
2020-03-15 10:17:54	ga_ls7e_ard_3-1-0_104069_2020-03-15_final
2020-03-31 10:17:01	ga_ls7e_ard_3-1-0_104069_2020-03-31_final
2020-04-16 10:16:05	ga_ls7e_ard_3-1-0_104069_2020-04-16_final
2020-05-02 10:15:08	ga_ls7e_ard_3-1-0_104069_2020-05-02_final
2020-05-18 10:14:10	ga_ls7e_ard_3-1-0_104069_2020-05-18_final
2020-06-03 10:13:12	ga_ls7e_ard_3-1-0_104069_2020-06-03_final
2020-06-19 10:12:16	ga_ls7e_ard_3-1-0_104069_2020-06-19_final
2020-07-05 10:11:19	ga_ls7e_ard_3-1-0_104069_2020-07-05_final
2020-07-21 10:10:20	ga_ls7e_ard_3-1-0_104069_2020-07-21_final
2020-08-06 10:09:21	ga_ls7e_ard_3-1-0_104069_2020-08-06_final
2020-08-22 10:08:19	ga_ls7e_ard_3-1-0_104069_2020-08-22_final
2020-09-07 10:07:17	ga_ls7e_ard_3-1-0_104069_2020-09-07_final
2020-09-23 10:06:13	ga_ls7e_ard_3-1-0_104069_2020-09-23_final
2020-10-09 10:05:12	ga_ls7e_ard_3-1-0_104069_2020-10-09_final
2020-10-25 10:04:09	ga_ls7e_ard_3-1-0_104069_2020-10-25_final
2020-11-10 10:03:05	ga_ls7e_ard_3-1-0_104069_2020-11-10_final
2020-11-26 10:01:57	ga_ls7e_ard_3-1-0_104069_2020-11-26_final
2020-12-12 10:00:46	ga_ls7e_ard_3-1-0_104069_2020-12-12_final
2020-12-28 09:59:35	ga_ls7e_ard_3-1-0_104069_2020-12-28_final
2021-01-13 09:58:29	ga_ls7e_ard_3-1-0_104069_2021-01-13_final
2021-01-29 09:57:20	ga_ls7e_ard_3-2-0_104069_2021-01-29_final
2021-03-02 09:54:55	ga_ls7e_ard_3-2-0_104069_2021-03-02_final
2021-03-18 09:53:39	ga_ls7e_ard_3-2-0_104069_2021-03-18_final
2021-04-03 09:52:21	ga_ls7e_ard_3-2-0_104069_2021-04-03_final
2021-04-19 09:51:01	ga_ls7e_ard_3-2-0_104069_2021-04-19_final
2021-05-05 09:49:40	ga_ls7e_ard_3-2-0_104069_2021-05-05_final
2021-05-21 09:48:19	ga_ls7e_ard_3-2-0_104069_2021-05-21_final
2021-06-06 09:46:58	ga_ls7e_ard_3-2-0_104069_2021-06-06_final
2021-06-22 09:45:40	ga_ls7e_ard_3-2-0_104069_2021-06-22_final
2021-07-08 09:44:19	ga_ls7e_ard_3-2-0_104069_2021-07-08_final
2021-07-24 09:42:57	ga_ls7e_ard_3-2-0_104069_2021-07-24_final
2021-08-09 09:41:32	ga_ls7e_ard_3-2-0_104069_2021-08-09_final
2021-08-25 09:40:08	ga_ls7e_ard_3-2-0_104069_2021-08-25_final
2021-09-10 09:38:45	ga_ls7e_ard_3-2-0_104069_2021-09-10_final
2021-09-26 09:37:19	ga_ls7e_ard_3-2-0_104069_2021-09-26_final
2021-10-12 09:35:54	ga_ls7e_ard_3-2-0_104069_2021-10-12_final
2021-10-28 09:34:27	ga_ls7e_ard_3-2-0_104069_2021-10-28_final
2021-11-13 09:32:56	ga_ls7e_ard_3-2-1_104069_2021-11-13_final
2021-11-29 09:31:24	ga_ls7e_ard_3-2-1_104069_2021-11-29_final
2021-12-31 09:28:18	ga_ls7e_ard_3-2-1_104069_2021-12-30_final
2022-01-16 09:26:46	ga_ls7e_ard_3-2-1_104069_2022-01-15_final
2022-02-01 09:25:12	ga_ls7e_ard_3-2-1_104069_2022-01-31_final
2022-02-17 09:23:34	ga_ls7e_ard_3-2-1_104069_2022-02-16_final
2022-03-05 09:22:02	ga_ls7e_ard_3-2-1_104069_2022-03-04_final
2022-03-21 09:20:26	ga_ls7e_ard_3-2-1_104069_2022-03-20_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