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
2014-07-05 10:38:45	ga_ls7e_ard_3-1-0_104070_2014-07-05_final
2014-07-21 10:38:47	ga_ls7e_ard_3-1-0_104070_2014-07-21_final
2014-08-06 10:38:53	ga_ls7e_ard_3-1-0_104070_2014-08-06_final
2014-08-22 10:38:51	ga_ls7e_ard_3-1-0_104070_2014-08-22_final
2014-09-07 10:38:53	ga_ls7e_ard_3-1-0_104070_2014-09-07_final
2014-09-23 10:38:58	ga_ls7e_ard_3-1-0_104070_2014-09-23_final
2014-10-09 10:39:10	ga_ls7e_ard_3-1-0_104070_2014-10-09_final
2014-10-25 10:39:19	ga_ls7e_ard_3-1-0_104070_2014-10-25_final
2014-11-10 10:39:29	ga_ls7e_ard_3-1-0_104070_2014-11-10_final
2014-11-26 10:39:32	ga_ls7e_ard_3-1-0_104070_2014-11-26_final
2015-01-29 10:39:53	ga_ls7e_ard_3-1-0_104070_2015-01-29_final
2015-02-14 10:39:54	ga_ls7e_ard_3-1-0_104070_2015-02-14_final
2015-03-02 10:40:06	ga_ls7e_ard_3-1-0_104070_2015-03-02_final
2015-04-03 10:40:19	ga_ls7e_ard_3-1-0_104070_2015-04-03_final
2015-04-19 10:40:27	ga_ls7e_ard_3-1-0_104070_2015-04-19_final
2015-05-21 10:40:41	ga_ls7e_ard_3-1-0_104070_2015-05-21_final
2015-06-06 10:40:47	ga_ls7e_ard_3-1-0_104070_2015-06-06_final
2015-06-22 10:40:50	ga_ls7e_ard_3-1-0_104070_2015-06-22_final
2015-07-08 10:40:56	ga_ls7e_ard_3-1-0_104070_2015-07-08_final
2015-07-24 10:40:59	ga_ls7e_ard_3-1-0_104070_2015-07-24_final
2015-08-25 10:41:04	ga_ls7e_ard_3-1-0_104070_2015-08-25_final
2015-09-10 10:41:08	ga_ls7e_ard_3-1-0_104070_2015-09-10_final
2015-09-26 10:41:12	ga_ls7e_ard_3-1-0_104070_2015-09-26_final
2015-10-12 10:41:22	ga_ls7e_ard_3-1-0_104070_2015-10-12_final
2015-11-29 10:42:07	ga_ls7e_ard_3-1-0_104070_2015-11-29_final
2016-01-16 10:42:52	ga_ls7e_ard_3-1-0_104070_2016-01-16_final
2016-02-17 10:43:06	ga_ls7e_ard_3-1-0_104070_2016-02-17_final
2016-03-04 10:43:13	ga_ls7e_ard_3-1-0_104070_2016-03-04_final
2016-03-20 10:43:21	ga_ls7e_ard_3-1-0_104070_2016-03-20_final
2016-04-21 10:43:32	ga_ls7e_ard_3-1-0_104070_2016-04-21_final
2016-05-23 10:43:40	ga_ls7e_ard_3-1-0_104070_2016-05-23_final
2016-06-24 10:43:47	ga_ls7e_ard_3-1-0_104070_2016-06-24_final
2016-07-10 10:43:47	ga_ls7e_ard_3-1-0_104070_2016-07-10_final
2016-08-11 10:43:51	ga_ls7e_ard_3-1-0_104070_2016-08-11_final
2016-08-27 10:43:54	ga_ls7e_ard_3-1-0_104070_2016-08-27_final
2018-12-07 10:37:11	ga_ls7e_ard_3-1-0_104070_2018-12-07_final
2018-12-23 10:36:44	ga_ls7e_ard_3-1-0_104070_2018-12-23_final
2019-01-08 10:36:14	ga_ls7e_ard_3-1-0_104070_2019-01-08_final
2019-01-24 10:35:44	ga_ls7e_ard_3-1-0_104070_2019-01-24_final
2019-02-09 10:35:14	ga_ls7e_ard_3-1-0_104070_2019-02-09_final
2019-02-25 10:34:45	ga_ls7e_ard_3-1-0_104070_2019-02-25_final
2019-03-13 10:34:15	ga_ls7e_ard_3-1-0_104070_2019-03-13_final
2019-03-29 10:33:43	ga_ls7e_ard_3-1-0_104070_2019-03-29_final
2019-04-14 10:33:09	ga_ls7e_ard_3-1-0_104070_2019-04-14_final
2019-04-30 10:32:33	ga_ls7e_ard_3-1-0_104070_2019-04-30_final
2019-05-16 10:31:56	ga_ls7e_ard_3-1-0_104070_2019-05-16_final
2019-06-01 10:31:21	ga_ls7e_ard_3-1-0_104070_2019-06-01_final
2019-06-17 10:30:46	ga_ls7e_ard_3-1-0_104070_2019-06-17_final
2019-07-03 10:30:10	ga_ls7e_ard_3-1-0_104070_2019-07-03_final
2019-07-19 10:29:33	ga_ls7e_ard_3-1-0_104070_2019-07-19_final
2019-08-04 10:28:54	ga_ls7e_ard_3-1-0_104070_2019-08-04_final
2019-09-05 10:27:33	ga_ls7e_ard_3-1-0_104070_2019-09-05_final
2019-09-21 10:26:50	ga_ls7e_ard_3-1-0_104070_2019-09-21_final
2019-10-23 10:25:30	ga_ls7e_ard_3-1-0_104070_2019-10-23_final
2019-11-08 10:24:47	ga_ls7e_ard_3-1-0_104070_2019-11-08_final
2019-11-24 10:24:02	ga_ls7e_ard_3-1-0_104070_2019-11-24_final
2019-12-10 10:23:15	ga_ls7e_ard_3-1-0_104070_2019-12-10_final
2019-12-26 10:22:26	ga_ls7e_ard_3-1-0_104070_2019-12-26_final
2020-01-11 10:21:37	ga_ls7e_ard_3-1-0_104070_2020-01-11_final
2020-01-27 10:20:49	ga_ls7e_ard_3-1-0_104070_2020-01-27_final
2020-03-15 10:18:18	ga_ls7e_ard_3-1-0_104070_2020-03-15_final
2020-03-31 10:17:24	ga_ls7e_ard_3-1-0_104070_2020-03-31_final
2020-04-16 10:16:29	ga_ls7e_ard_3-1-0_104070_2020-04-16_final
2020-05-02 10:15:32	ga_ls7e_ard_3-1-0_104070_2020-05-02_final
2020-05-18 10:14:34	ga_ls7e_ard_3-1-0_104070_2020-05-18_final
2020-07-05 10:11:43	ga_ls7e_ard_3-1-0_104070_2020-07-05_final
2020-07-21 10:10:44	ga_ls7e_ard_3-1-0_104070_2020-07-21_final
2020-08-06 10:09:44	ga_ls7e_ard_3-1-0_104070_2020-08-06_final
2020-08-22 10:08:43	ga_ls7e_ard_3-1-0_104070_2020-08-22_final
2020-09-07 10:07:41	ga_ls7e_ard_3-1-0_104070_2020-09-07_final
2020-09-23 10:06:37	ga_ls7e_ard_3-1-0_104070_2020-09-23_final
2020-10-09 10:05:36	ga_ls7e_ard_3-1-0_104070_2020-10-09_final
2020-10-25 10:04:33	ga_ls7e_ard_3-1-0_104070_2020-10-25_final
2020-11-10 10:03:29	ga_ls7e_ard_3-1-0_104070_2020-11-10_final
2020-12-12 10:01:10	ga_ls7e_ard_3-1-0_104070_2020-12-12_final
2021-01-29 09:57:44	ga_ls7e_ard_3-2-0_104070_2021-01-29_final
2021-03-02 09:55:19	ga_ls7e_ard_3-2-0_104070_2021-03-02_final
2021-03-18 09:54:03	ga_ls7e_ard_3-2-0_104070_2021-03-18_final
2021-04-03 09:52:45	ga_ls7e_ard_3-2-0_104070_2021-04-03_final
2021-04-19 09:51:25	ga_ls7e_ard_3-2-0_104070_2021-04-19_final
2021-05-05 09:50:04	ga_ls7e_ard_3-2-0_104070_2021-05-05_final
2021-05-21 09:48:43	ga_ls7e_ard_3-2-0_104070_2021-05-21_final
2021-06-06 09:47:22	ga_ls7e_ard_3-2-0_104070_2021-06-06_final
2021-06-22 09:46:04	ga_ls7e_ard_3-2-0_104070_2021-06-22_final
2021-07-08 09:44:43	ga_ls7e_ard_3-2-0_104070_2021-07-08_final
2021-07-24 09:43:21	ga_ls7e_ard_3-2-0_104070_2021-07-24_final
2021-08-09 09:41:56	ga_ls7e_ard_3-2-0_104070_2021-08-09_final
2021-08-25 09:40:32	ga_ls7e_ard_3-2-0_104070_2021-08-25_final
2021-09-10 09:39:09	ga_ls7e_ard_3-2-0_104070_2021-09-10_final
2021-09-26 09:37:43	ga_ls7e_ard_3-2-0_104070_2021-09-26_final
2021-10-12 09:36:18	ga_ls7e_ard_3-2-0_104070_2021-10-12_final
2021-10-28 09:34:51	ga_ls7e_ard_3-2-0_104070_2021-10-28_final
2021-11-13 09:33:20	ga_ls7e_ard_3-2-1_104070_2021-11-13_final
2021-11-29 09:31:48	ga_ls7e_ard_3-2-1_104070_2021-11-29_final
2021-12-31 09:28:42	ga_ls7e_ard_3-2-1_104070_2021-12-30_final
2022-01-16 09:27:10	ga_ls7e_ard_3-2-1_104070_2022-01-15_final
2022-02-01 09:25:36	ga_ls7e_ard_3-2-1_104070_2022-01-31_final
2022-02-17 09:23:57	ga_ls7e_ard_3-2-1_104070_2022-02-16_final
2022-03-05 09:22:26	ga_ls7e_ard_3-2-1_104070_2022-03-04_final
2022-03-21 09:20:50	ga_ls7e_ard_3-2-1_104070_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years