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
2017-07-25 11:08:36	ga_ls7e_ard_3-0-0_108070_2017-07-25_final
2017-08-10 11:08:34	ga_ls7e_ard_3-0-0_108070_2017-08-10_final
2017-08-26 11:08:34	ga_ls7e_ard_3-0-0_108070_2017-08-26_final
2017-09-11 11:08:33	ga_ls7e_ard_3-0-0_108070_2017-09-11_final
2017-09-27 11:08:32	ga_ls7e_ard_3-0-0_108070_2017-09-27_final
2017-10-13 11:08:34	ga_ls7e_ard_3-0-0_108070_2017-10-13_final
2017-10-29 11:08:35	ga_ls7e_ard_3-0-0_108070_2017-10-29_final
2017-11-14 11:08:33	ga_ls7e_ard_3-0-0_108070_2017-11-14_final
2017-11-30 11:08:27	ga_ls7e_ard_3-0-0_108070_2017-11-30_final
2017-12-16 11:08:18	ga_ls7e_ard_3-0-0_108070_2017-12-16_final
2018-01-01 11:08:07	ga_ls7e_ard_3-0-0_108070_2018-01-01_final
2018-01-17 11:07:53	ga_ls7e_ard_3-0-0_108070_2018-01-17_final
2018-02-02 11:07:37	ga_ls7e_ard_3-0-0_108070_2018-02-02_final
2018-03-06 11:07:16	ga_ls7e_ard_3-0-0_108070_2018-03-06_final
2018-03-22 11:07:04	ga_ls7e_ard_3-0-0_108070_2018-03-22_final
2018-04-07 11:06:49	ga_ls7e_ard_3-0-0_108070_2018-04-07_final
2018-04-23 11:06:33	ga_ls7e_ard_3-0-0_108070_2018-04-23_final
2018-05-09 11:06:15	ga_ls7e_ard_3-0-0_108070_2018-05-09_final
2018-05-25 11:06:01	ga_ls7e_ard_3-0-0_108070_2018-05-25_final
2018-06-10 11:05:45	ga_ls7e_ard_3-0-0_108070_2018-06-10_final
2018-06-26 11:05:27	ga_ls7e_ard_3-0-0_108070_2018-06-26_final
2018-07-28 11:04:51	ga_ls7e_ard_3-0-0_108070_2018-07-28_final
2018-08-13 11:04:33	ga_ls7e_ard_3-0-0_108070_2018-08-13_final
2018-08-29 11:04:14	ga_ls7e_ard_3-0-0_108070_2018-08-29_final
2018-09-14 11:03:54	ga_ls7e_ard_3-0-0_108070_2018-09-14_final
2018-09-30 11:03:31	ga_ls7e_ard_3-0-0_108070_2018-09-30_final
2018-10-16 11:03:07	ga_ls7e_ard_3-0-0_108070_2018-10-16_final
2018-11-01 11:02:47	ga_ls7e_ard_3-0-0_108070_2018-11-01_final
2018-12-03 11:02:00	ga_ls7e_ard_3-0-0_108070_2018-12-03_final
2018-12-19 11:01:34	ga_ls7e_ard_3-0-0_108070_2018-12-19_final
2019-01-20 11:00:35	ga_ls7e_ard_3-0-0_108070_2019-01-20_final
2019-02-21 10:59:36	ga_ls7e_ard_3-1-0_108070_2019-02-21_final
2019-03-09 10:59:06	ga_ls7e_ard_3-1-0_108070_2019-03-09_final
2019-03-25 10:58:34	ga_ls7e_ard_3-1-0_108070_2019-03-25_final
2019-04-10 10:58:01	ga_ls7e_ard_3-0-0_108070_2019-04-10_final
2019-04-26 10:57:26	ga_ls7e_ard_3-0-0_108070_2019-04-26_final
2019-05-12 10:56:49	ga_ls7e_ard_3-0-0_108070_2019-05-12_final
2019-05-28 10:56:12	ga_ls7e_ard_3-0-0_108070_2019-05-28_final
2019-06-13 10:55:38	ga_ls7e_ard_3-0-0_108070_2019-06-13_final
2019-06-29 10:55:03	ga_ls7e_ard_3-0-0_108070_2019-06-29_final
2019-07-15 10:54:26	ga_ls7e_ard_3-0-0_108070_2019-07-15_final
2019-07-31 10:53:47	ga_ls7e_ard_3-0-0_108070_2019-07-31_final
2019-08-16 10:53:08	ga_ls7e_ard_3-0-0_108070_2019-08-16_final
2019-09-01 10:52:27	ga_ls7e_ard_3-1-0_108070_2019-09-01_final
2019-09-17 10:51:44	ga_ls7e_ard_3-1-0_108070_2019-09-17_final
2019-10-03 10:51:04	ga_ls7e_ard_3-1-0_108070_2019-10-03_final
2019-10-19 10:50:23	ga_ls7e_ard_3-1-0_108070_2019-10-19_final
2019-11-04 10:49:41	ga_ls7e_ard_3-1-0_108070_2019-11-04_final
2019-11-20 10:48:57	ga_ls7e_ard_3-1-0_108070_2019-11-20_final
2019-12-06 10:48:10	ga_ls7e_ard_3-1-0_108070_2019-12-06_final
2019-12-22 10:47:22	ga_ls7e_ard_3-1-0_108070_2019-12-22_final
2020-01-07 10:46:32	ga_ls7e_ard_3-1-0_108070_2020-01-07_final
2020-01-23 10:45:45	ga_ls7e_ard_3-1-0_108070_2020-01-23_final
2020-02-08 10:44:56	ga_ls7e_ard_3-1-0_108070_2020-02-08_final
2020-02-24 10:44:06	ga_ls7e_ard_3-1-0_108070_2020-02-24_final
2020-03-11 10:43:14	ga_ls7e_ard_3-1-0_108070_2020-03-11_final
2020-03-27 10:42:21	ga_ls7e_ard_3-1-0_108070_2020-03-27_final
2020-04-12 10:41:26	ga_ls7e_ard_3-1-0_108070_2020-04-12_final
2020-04-28 10:40:30	ga_ls7e_ard_3-1-0_108070_2020-04-28_final
2020-05-14 10:39:32	ga_ls7e_ard_3-1-0_108070_2020-05-14_final
2020-05-30 10:38:33	ga_ls7e_ard_3-1-0_108070_2020-05-30_final
2020-06-15 10:37:37	ga_ls7e_ard_3-1-0_108070_2020-06-15_final
2020-07-01 10:36:41	ga_ls7e_ard_3-1-0_108070_2020-07-01_final
2020-07-17 10:35:42	ga_ls7e_ard_3-1-0_108070_2020-07-17_final
2020-08-02 10:34:43	ga_ls7e_ard_3-1-0_108070_2020-08-02_final
2020-08-18 10:33:42	ga_ls7e_ard_3-1-0_108070_2020-08-18_final
2020-09-03 10:32:40	ga_ls7e_ard_3-1-0_108070_2020-09-03_final
2020-09-19 10:31:36	ga_ls7e_ard_3-1-0_108070_2020-09-19_final
2020-10-05 10:30:34	ga_ls7e_ard_3-1-0_108070_2020-10-05_final
2020-10-21 10:29:32	ga_ls7e_ard_3-1-0_108070_2020-10-21_final
2020-11-06 10:28:28	ga_ls7e_ard_3-1-0_108070_2020-11-06_final
2020-11-22 10:27:21	ga_ls7e_ard_3-1-0_108070_2020-11-22_final
2020-12-08 10:26:11	ga_ls7e_ard_3-1-0_108070_2020-12-08_final
2020-12-24 10:24:59	ga_ls7e_ard_3-1-0_108070_2020-12-24_final
2021-01-09 10:23:53	ga_ls7e_ard_3-1-0_108070_2021-01-09_final
2021-02-10 10:21:33	ga_ls7e_ard_3-2-0_108070_2021-02-10_final
2021-02-26 10:20:21	ga_ls7e_ard_3-2-0_108070_2021-02-26_final
2021-03-14 10:19:06	ga_ls7e_ard_3-2-0_108070_2021-03-14_final
2021-03-30 10:17:48	ga_ls7e_ard_3-2-0_108070_2021-03-30_final
2021-04-15 10:16:28	ga_ls7e_ard_3-2-0_108070_2021-04-15_final
2021-05-01 10:15:07	ga_ls7e_ard_3-2-0_108070_2021-05-01_final
2021-05-17 10:13:47	ga_ls7e_ard_3-2-0_108070_2021-05-17_final
2021-06-02 10:12:24	ga_ls7e_ard_3-2-0_108070_2021-06-02_final
2021-06-18 10:11:07	ga_ls7e_ard_3-2-0_108070_2021-06-18_final
2021-07-04 10:09:47	ga_ls7e_ard_3-2-0_108070_2021-07-04_final
2021-07-20 10:08:25	ga_ls7e_ard_3-2-0_108070_2021-07-20_final
2021-08-05 10:07:01	ga_ls7e_ard_3-2-0_108070_2021-08-05_final
2021-08-21 10:05:36	ga_ls7e_ard_3-2-0_108070_2021-08-21_final
2021-09-06 10:04:13	ga_ls7e_ard_3-2-0_108070_2021-09-06_final
2021-09-22 10:02:48	ga_ls7e_ard_3-2-0_108070_2021-09-22_final
2021-10-08 10:01:23	ga_ls7e_ard_3-2-0_108070_2021-10-08_final
2021-10-24 09:59:57	ga_ls7e_ard_3-2-0_108070_2021-10-24_final
2021-11-09 09:58:27	ga_ls7e_ard_3-2-0_108070_2021-11-09_final
2021-11-25 09:56:53	ga_ls7e_ard_3-2-1_108070_2021-11-25_final
2021-12-11 09:55:23	ga_ls7e_ard_3-2-1_108070_2021-12-11_final
2021-12-27 09:53:49	ga_ls7e_ard_3-2-1_108070_2021-12-27_final
2022-01-12 09:52:15	ga_ls7e_ard_3-2-1_108070_2022-01-12_final
2022-01-28 09:50:43	ga_ls7e_ard_3-2-1_108070_2022-01-28_final
2022-02-13 09:49:05	ga_ls7e_ard_3-2-1_108070_2022-02-13_final
2022-03-17 09:45:56	ga_ls7e_ard_3-2-1_108070_2022-03-17_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