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
2015-05-29 09:57:39	ga_ls7e_ard_3-1-0_096086_2015-05-29_final
2015-06-30 09:57:49	ga_ls7e_ard_3-1-0_096086_2015-06-30_final
2015-07-16 09:57:55	ga_ls7e_ard_3-1-0_096086_2015-07-16_final
2015-08-17 09:58:01	ga_ls7e_ard_3-1-0_096086_2015-08-17_final
2015-10-04 09:58:08	ga_ls7e_ard_3-1-0_096086_2015-10-04_final
2015-12-23 09:59:27	ga_ls7e_ard_3-1-0_096086_2015-12-23_final
2016-01-08 09:59:42	ga_ls7e_ard_3-1-0_096086_2016-01-08_final
2016-01-24 09:59:54	ga_ls7e_ard_3-1-0_096086_2016-01-24_final
2016-02-09 10:00:02	ga_ls7e_ard_3-1-0_096086_2016-02-09_final
2016-02-25 10:00:03	ga_ls7e_ard_3-1-0_096086_2016-02-25_final
2016-04-13 10:00:25	ga_ls7e_ard_3-1-0_096086_2016-04-13_final
2016-05-15 10:00:34	ga_ls7e_ard_3-1-0_096086_2016-05-15_final
2016-07-02 10:00:44	ga_ls7e_ard_3-1-0_096086_2016-07-02_final
2016-07-18 10:00:45	ga_ls7e_ard_3-1-0_096086_2016-07-18_final
2016-08-03 10:00:47	ga_ls7e_ard_3-1-0_096086_2016-08-03_final
2016-08-19 10:00:48	ga_ls7e_ard_3-1-0_096086_2016-08-19_final
2016-09-04 10:00:52	ga_ls7e_ard_3-1-0_096086_2016-09-04_final
2016-10-06 10:00:56	ga_ls7e_ard_3-1-0_096086_2016-10-06_final
2016-10-22 10:00:53	ga_ls7e_ard_3-1-0_096086_2016-10-22_final
2016-11-23 10:00:42	ga_ls7e_ard_3-1-0_096086_2016-11-23_final
2016-12-25 10:00:32	ga_ls7e_ard_3-1-0_096086_2016-12-25_final
2017-01-10 10:00:22	ga_ls7e_ard_3-1-0_096086_2017-01-10_final
2017-02-11 10:00:05	ga_ls7e_ard_3-1-0_096086_2017-02-11_final
2017-02-27 10:00:14	ga_ls7e_ard_3-1-0_096086_2017-02-27_final
2017-03-15 10:00:21	ga_ls7e_ard_3-1-0_096086_2017-03-15_final
2017-04-16 10:00:31	ga_ls7e_ard_3-1-0_096086_2017-04-16_final
2017-05-02 10:00:37	ga_ls7e_ard_3-1-0_096086_2017-05-02_final
2017-06-03 10:00:44	ga_ls7e_ard_3-1-0_096086_2017-06-03_final
2017-06-19 10:00:48	ga_ls7e_ard_3-1-0_096086_2017-06-19_final
2017-07-05 10:00:50	ga_ls7e_ard_3-1-0_096086_2017-07-05_final
2017-07-21 10:00:50	ga_ls7e_ard_3-1-0_096086_2017-07-21_final
2017-08-06 10:00:48	ga_ls7e_ard_3-1-0_096086_2017-08-06_final
2017-08-22 10:00:47	ga_ls7e_ard_3-1-0_096086_2017-08-22_final
2017-09-07 10:00:47	ga_ls7e_ard_3-1-0_096086_2017-09-07_final
2017-09-23 10:00:45	ga_ls7e_ard_3-1-0_096086_2017-09-23_final
2017-10-09 10:00:47	ga_ls7e_ard_3-1-0_096086_2017-10-09_final
2017-11-10 10:00:47	ga_ls7e_ard_3-1-0_096086_2017-11-10_final
2017-12-12 10:00:34	ga_ls7e_ard_3-1-0_096086_2017-12-12_final
2018-02-14 09:59:42	ga_ls7e_ard_3-1-0_096086_2018-02-14_final
2018-03-18 09:59:20	ga_ls7e_ard_3-1-0_096086_2018-03-18_final
2018-04-19 09:58:51	ga_ls7e_ard_3-1-0_096086_2018-04-19_final
2018-06-06 09:58:03	ga_ls7e_ard_3-1-0_096086_2018-06-06_final
2018-06-22 09:57:45	ga_ls7e_ard_3-1-0_096086_2018-06-22_final
2018-07-08 09:57:25	ga_ls7e_ard_3-1-0_096086_2018-07-08_final
2018-08-25 09:56:33	ga_ls7e_ard_3-1-0_096086_2018-08-25_final
2018-09-10 09:56:12	ga_ls7e_ard_3-1-0_096086_2018-09-10_final
2018-09-26 09:55:50	ga_ls7e_ard_3-1-0_096086_2018-09-26_final
2018-10-12 09:55:27	ga_ls7e_ard_3-1-0_096086_2018-10-12_final
2018-10-28 09:55:05	ga_ls7e_ard_3-1-0_096086_2018-10-28_final
2018-12-15 09:53:54	ga_ls7e_ard_3-1-0_096086_2018-12-15_final
2018-12-31 09:53:26	ga_ls7e_ard_3-1-0_096086_2018-12-31_final
2019-02-01 09:52:25	ga_ls7e_ard_3-1-0_096086_2019-02-01_final
2019-04-06 09:50:23	ga_ls7e_ard_3-1-0_096086_2019-04-06_final
2019-04-22 09:49:48	ga_ls7e_ard_3-1-0_096086_2019-04-22_final
2019-05-24 09:48:34	ga_ls7e_ard_3-1-0_096086_2019-05-24_final
2019-06-25 09:47:25	ga_ls7e_ard_3-1-0_096086_2019-06-25_final
2019-08-12 09:45:31	ga_ls7e_ard_3-1-0_096086_2019-08-12_final
2019-10-31 09:42:05	ga_ls7e_ard_3-1-0_096086_2019-10-31_final
2019-12-02 09:40:36	ga_ls7e_ard_3-1-0_096086_2019-12-02_final
2019-12-18 09:39:48	ga_ls7e_ard_3-1-0_096086_2019-12-18_final
2020-01-03 09:38:58	ga_ls7e_ard_3-1-0_096086_2020-01-03_final
2020-02-04 09:37:22	ga_ls7e_ard_3-1-0_096086_2020-02-04_final
2020-03-07 09:35:41	ga_ls7e_ard_3-1-0_096086_2020-03-07_final
2020-04-24 09:32:58	ga_ls7e_ard_3-1-0_096086_2020-04-24_final
2020-05-10 09:32:00	ga_ls7e_ard_3-1-0_096086_2020-05-10_final
2020-05-26 09:31:00	ga_ls7e_ard_3-1-0_096086_2020-05-26_final
2020-06-27 09:29:08	ga_ls7e_ard_3-1-0_096086_2020-06-26_final
2020-07-13 09:28:10	ga_ls7e_ard_3-1-0_096086_2020-07-12_final
2020-07-29 09:27:11	ga_ls7e_ard_3-1-0_096086_2020-07-28_final
2020-08-14 09:26:11	ga_ls7e_ard_3-1-0_096086_2020-08-13_final
2020-08-30 09:25:09	ga_ls7e_ard_3-1-0_096086_2020-08-29_final
2020-09-15 09:24:05	ga_ls7e_ard_3-1-0_096086_2020-09-14_final
2020-10-01 09:23:03	ga_ls7e_ard_3-1-0_096086_2020-09-30_final
2020-11-02 09:20:58	ga_ls7e_ard_3-1-0_096086_2020-11-01_final
2020-11-18 09:19:52	ga_ls7e_ard_3-1-0_096086_2020-11-17_final
2020-12-04 09:18:43	ga_ls7e_ard_3-1-0_096086_2020-12-03_final
2020-12-20 09:17:30	ga_ls7e_ard_3-1-0_096086_2020-12-19_final
2021-01-21 09:15:15	ga_ls7e_ard_3-2-0_096086_2021-01-20_final
2021-02-06 09:14:05	ga_ls7e_ard_3-2-0_096086_2021-02-05_final
2021-03-10 09:11:38	ga_ls7e_ard_3-2-0_096086_2021-03-09_final
2021-03-26 09:10:21	ga_ls7e_ard_3-2-0_096086_2021-03-25_final
2021-04-27 09:07:41	ga_ls7e_ard_3-2-0_096086_2021-04-26_final
2021-05-29 09:04:59	ga_ls7e_ard_3-2-0_096086_2021-05-28_final
2021-06-14 09:03:40	ga_ls7e_ard_3-2-0_096086_2021-06-13_final
2021-06-30 09:02:21	ga_ls7e_ard_3-2-0_096086_2021-06-29_final
2021-07-16 09:00:59	ga_ls7e_ard_3-2-0_096086_2021-07-15_final
2021-08-01 08:59:36	ga_ls7e_ard_3-2-0_096086_2021-07-31_final
2021-08-17 08:58:10	ga_ls7e_ard_3-2-0_096086_2021-08-16_final
2021-09-02 08:56:48	ga_ls7e_ard_3-2-0_096086_2021-09-01_final
2021-09-18 08:55:23	ga_ls7e_ard_3-2-0_096086_2021-09-17_final
2021-10-04 08:53:57	ga_ls7e_ard_3-2-0_096086_2021-10-03_final
2021-10-20 08:52:32	ga_ls7e_ard_3-2-0_096086_2021-10-19_final
2021-11-05 08:51:03	ga_ls7e_ard_3-2-0_096086_2021-11-04_final
2021-11-21 08:49:30	ga_ls7e_ard_3-2-1_096086_2021-11-20_final
2021-12-07 08:48:00	ga_ls7e_ard_3-2-1_096086_2021-12-06_final
2021-12-23 08:46:27	ga_ls7e_ard_3-2-1_096086_2021-12-22_final
2022-01-24 08:43:20	ga_ls7e_ard_3-2-1_096086_2022-01-23_final
2022-02-09 08:41:44	ga_ls7e_ard_3-2-1_096086_2022-02-08_final
2022-02-25 08:40:09	ga_ls7e_ard_3-2-1_096086_2022-02-24_final
2022-03-13 08:38:34	ga_ls7e_ard_3-2-1_096086_2022-03-12_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