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
2016-06-09 11:28:37	ga_ls7e_ard_3-0-0_111074_2016-06-09_final
2016-07-27 11:28:41	ga_ls7e_ard_3-0-0_111074_2016-07-27_final
2016-10-15 11:28:50	ga_ls7e_ard_3-0-0_111074_2016-10-15_final
2016-10-31 11:28:45	ga_ls7e_ard_3-0-0_111074_2016-10-31_final
2016-12-18 11:28:30	ga_ls7e_ard_3-0-0_111074_2016-12-18_final
2017-01-03 11:28:21	ga_ls7e_ard_3-0-0_111074_2017-01-03_final
2017-02-20 11:28:05	ga_ls7e_ard_3-0-0_111074_2017-02-20_final
2017-04-09 11:28:23	ga_ls7e_ard_3-0-0_111074_2017-04-09_final
2017-05-11 11:28:34	ga_ls7e_ard_3-0-0_111074_2017-05-11_final
2017-05-27 11:28:37	ga_ls7e_ard_3-0-0_111074_2017-05-27_final
2017-06-12 11:28:41	ga_ls7e_ard_3-0-0_111074_2017-06-12_final
2017-07-30 11:28:44	ga_ls7e_ard_3-0-0_111074_2017-07-30_final
2017-09-16 11:28:40	ga_ls7e_ard_3-0-0_111074_2017-09-16_final
2017-12-21 11:28:23	ga_ls7e_ard_3-0-0_111074_2017-12-21_final
2018-01-06 11:28:11	ga_ls7e_ard_3-0-0_111074_2018-01-06_final
2018-01-22 11:27:57	ga_ls7e_ard_3-0-0_111074_2018-01-22_final
2018-03-11 11:27:20	ga_ls7e_ard_3-0-0_111074_2018-03-11_final
2018-04-12 11:26:53	ga_ls7e_ard_3-0-0_111074_2018-04-12_final
2018-05-30 11:26:04	ga_ls7e_ard_3-0-0_111074_2018-05-30_final
2018-06-15 11:25:48	ga_ls7e_ard_3-0-0_111074_2018-06-15_final
2018-07-01 11:25:29	ga_ls7e_ard_3-0-0_111074_2018-07-01_final
2018-07-17 11:25:11	ga_ls7e_ard_3-0-0_111074_2018-07-17_final
2018-08-02 11:24:54	ga_ls7e_ard_3-0-0_111074_2018-08-02_final
2018-08-18 11:24:36	ga_ls7e_ard_3-0-0_111074_2018-08-18_final
2018-09-03 11:24:16	ga_ls7e_ard_3-0-0_111074_2018-09-03_final
2018-09-19 11:23:55	ga_ls7e_ard_3-0-0_111074_2018-09-19_final
2018-10-05 11:23:32	ga_ls7e_ard_3-0-0_111074_2018-10-05_final
2018-10-21 11:23:09	ga_ls7e_ard_3-0-0_111074_2018-10-21_final
2018-11-06 11:22:48	ga_ls7e_ard_3-0-0_111074_2018-11-06_final
2018-11-22 11:22:25	ga_ls7e_ard_3-0-0_111074_2018-11-22_final
2018-12-08 11:22:00	ga_ls7e_ard_3-0-0_111074_2018-12-08_final
2018-12-24 11:21:33	ga_ls7e_ard_3-0-0_111074_2018-12-24_final
2019-01-09 11:21:04	ga_ls7e_ard_3-0-0_111074_2019-01-09_final
2019-01-25 11:20:33	ga_ls7e_ard_3-0-0_111074_2019-01-25_final
2019-02-10 11:20:04	ga_ls7e_ard_3-0-0_111074_2019-02-10_final
2019-02-26 11:19:35	ga_ls7e_ard_3-1-0_111074_2019-02-26_final
2019-03-14 11:19:04	ga_ls7e_ard_3-1-0_111074_2019-03-14_final
2019-03-30 11:18:32	ga_ls7e_ard_3-0-0_111074_2019-03-30_final
2019-04-15 11:17:58	ga_ls7e_ard_3-0-0_111074_2019-04-15_final
2019-05-01 11:17:22	ga_ls7e_ard_3-0-0_111074_2019-05-01_final
2019-05-17 11:16:45	ga_ls7e_ard_3-0-0_111074_2019-05-17_final
2019-06-02 11:16:10	ga_ls7e_ard_3-0-0_111074_2019-06-02_final
2019-06-18 11:15:36	ga_ls7e_ard_3-0-0_111074_2019-06-18_final
2019-07-04 11:14:59	ga_ls7e_ard_3-0-0_111074_2019-07-04_final
2019-07-20 11:14:22	ga_ls7e_ard_3-0-0_111074_2019-07-20_final
2019-08-05 11:13:43	ga_ls7e_ard_3-0-0_111074_2019-08-05_final
2019-08-21 11:13:03	ga_ls7e_ard_3-0-0_111074_2019-08-21_final
2019-09-06 11:12:22	ga_ls7e_ard_3-1-0_111074_2019-09-06_final
2019-09-22 11:11:39	ga_ls7e_ard_3-1-0_111074_2019-09-22_final
2019-10-08 11:10:59	ga_ls7e_ard_3-1-0_111074_2019-10-08_final
2019-10-24 11:10:19	ga_ls7e_ard_3-1-0_111074_2019-10-24_final
2019-11-09 11:09:36	ga_ls7e_ard_3-1-0_111074_2019-11-09_final
2019-11-25 11:08:51	ga_ls7e_ard_3-1-0_111074_2019-11-25_final
2019-12-11 11:08:04	ga_ls7e_ard_3-1-0_111074_2019-12-11_final
2019-12-27 11:07:15	ga_ls7e_ard_3-1-0_111074_2019-12-27_final
2020-01-12 11:06:25	ga_ls7e_ard_3-1-0_111074_2020-01-12_final
2020-01-28 11:05:38	ga_ls7e_ard_3-1-0_111074_2020-01-28_final
2020-02-13 11:04:49	ga_ls7e_ard_3-1-0_111074_2020-02-13_final
2020-02-29 11:03:58	ga_ls7e_ard_3-1-0_111074_2020-02-29_final
2020-03-16 11:03:06	ga_ls7e_ard_3-1-0_111074_2020-03-16_final
2020-04-01 11:02:12	ga_ls7e_ard_3-1-0_111074_2020-04-01_final
2020-04-17 11:01:17	ga_ls7e_ard_3-1-0_111074_2020-04-17_final
2020-05-03 11:00:20	ga_ls7e_ard_3-1-0_111074_2020-05-03_final
2020-06-04 10:58:24	ga_ls7e_ard_3-1-0_111074_2020-06-04_final
2020-06-20 10:57:28	ga_ls7e_ard_3-1-0_111074_2020-06-20_final
2020-07-06 10:56:31	ga_ls7e_ard_3-1-0_111074_2020-07-06_final
2020-07-22 10:55:32	ga_ls7e_ard_3-1-0_111074_2020-07-22_final
2020-08-07 10:54:32	ga_ls7e_ard_3-1-0_111074_2020-08-07_final
2020-08-23 10:53:31	ga_ls7e_ard_3-1-0_111074_2020-08-23_final
2020-09-08 10:52:28	ga_ls7e_ard_3-1-0_111074_2020-09-08_final
2020-09-24 10:51:24	ga_ls7e_ard_3-1-0_111074_2020-09-24_final
2020-10-10 10:50:23	ga_ls7e_ard_3-1-0_111074_2020-10-10_final
2020-10-26 10:49:21	ga_ls7e_ard_3-1-0_111074_2020-10-26_final
2020-11-11 10:48:16	ga_ls7e_ard_3-1-0_111074_2020-11-11_final
2020-11-27 10:47:08	ga_ls7e_ard_3-1-0_111074_2020-11-27_final
2020-12-13 10:45:57	ga_ls7e_ard_3-1-0_111074_2020-12-13_final
2020-12-29 10:44:47	ga_ls7e_ard_3-1-0_111074_2020-12-29_final
2021-01-14 10:43:40	ga_ls7e_ard_3-1-0_111074_2021-01-14_final
2021-01-30 10:42:30	ga_ls7e_ard_3-2-0_111074_2021-01-30_final
2021-04-04 10:37:32	ga_ls7e_ard_3-2-0_111074_2021-04-04_final
2021-04-20 10:36:11	ga_ls7e_ard_3-2-0_111074_2021-04-20_final
2021-05-06 10:34:51	ga_ls7e_ard_3-2-0_111074_2021-05-06_final
2021-05-22 10:33:30	ga_ls7e_ard_3-2-0_111074_2021-05-22_final
2021-06-07 10:32:09	ga_ls7e_ard_3-2-0_111074_2021-06-07_final
2021-06-23 10:30:50	ga_ls7e_ard_3-2-0_111074_2021-06-23_final
2021-07-09 10:29:30	ga_ls7e_ard_3-2-0_111074_2021-07-09_final
2021-07-25 10:28:07	ga_ls7e_ard_3-2-0_111074_2021-07-25_final
2021-08-10 10:26:42	ga_ls7e_ard_3-2-0_111074_2021-08-10_final
2021-08-26 10:25:18	ga_ls7e_ard_3-2-0_111074_2021-08-26_final
2021-09-11 10:23:55	ga_ls7e_ard_3-2-0_111074_2021-09-11_final
2021-09-27 10:22:29	ga_ls7e_ard_3-2-0_111074_2021-09-27_final
2021-10-13 10:21:04	ga_ls7e_ard_3-2-0_111074_2021-10-13_final
2021-10-29 10:19:37	ga_ls7e_ard_3-2-0_111074_2021-10-29_final
2021-11-14 10:18:06	ga_ls7e_ard_3-2-1_111074_2021-11-14_final
2021-11-30 10:16:33	ga_ls7e_ard_3-2-1_111074_2021-11-30_final
2021-12-16 10:15:02	ga_ls7e_ard_3-2-1_111074_2021-12-16_final
2022-01-01 10:13:27	ga_ls7e_ard_3-2-1_111074_2022-01-01_final
2022-01-17 10:11:55	ga_ls7e_ard_3-2-1_111074_2022-01-17_final
2022-02-18 10:08:43	ga_ls7e_ard_3-2-1_111074_2022-02-18_final
2022-03-06 10:07:11	ga_ls7e_ard_3-2-1_111074_2022-03-06_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