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
1999-07-27 11:31:18	ga_ls7e_ard_3-0-0_113074_1999-07-27_final
1999-07-27 11:31:42	ga_ls7e_ard_3-0-0_113075_1999-07-27_final
1999-07-27 11:32:06	ga_ls7e_ard_3-0-0_113076_1999-07-27_final
1999-07-27 11:32:30	ga_ls7e_ard_3-0-0_113077_1999-07-27_final
1999-08-21 11:25:32	ga_ls7e_ard_3-0-0_112075_1999-08-21_final
1999-08-21 11:25:56	ga_ls7e_ard_3-0-0_112076_1999-08-21_final
1999-08-21 11:26:20	ga_ls7e_ard_3-1-0_112077_1999-08-21_final
1999-08-21 11:26:44	ga_ls7e_ard_3-0-0_112078_1999-08-21_final
1999-08-21 11:27:07	ga_ls7e_ard_3-0-0_112079_1999-08-21_final
1999-08-21 11:27:31	ga_ls7e_ard_3-0-0_112080_1999-08-21_final
1999-08-21 11:27:55	ga_ls7e_ard_3-0-0_112081_1999-08-21_final
1999-08-23 11:16:47	ga_ls7e_ard_3-0-0_110084_1999-08-23_final
1999-11-16 11:31:20	ga_ls7e_ard_3-0-0_113074_1999-11-16_final
1999-11-16 11:31:44	ga_ls7e_ard_3-0-0_113075_1999-11-16_final
1999-11-16 11:32:08	ga_ls7e_ard_3-0-0_113076_1999-11-16_final
1999-11-16 11:32:32	ga_ls7e_ard_3-0-0_113077_1999-11-16_final
1999-11-23 11:34:37	ga_ls7e_ard_3-0-0_114067_1999-11-23_final
1999-11-25 11:25:26	ga_ls7e_ard_3-0-0_112075_1999-11-25_final
1999-11-25 11:25:50	ga_ls7e_ard_3-0-0_112076_1999-11-25_final
1999-11-25 11:26:14	ga_ls7e_ard_3-0-0_112077_1999-11-25_final
1999-11-25 11:26:38	ga_ls7e_ard_3-0-0_112078_1999-11-25_final
1999-11-25 11:27:02	ga_ls7e_ard_3-0-0_112079_1999-11-25_final
1999-11-25 11:27:26	ga_ls7e_ard_3-0-0_112080_1999-11-25_final
1999-11-25 11:27:50	ga_ls7e_ard_3-0-0_112081_1999-11-25_final
2007-09-19 11:28:15	ga_ls7e_ard_3-0-0_113074_2007-09-19_final
2007-09-19 11:28:38	ga_ls7e_ard_3-0-0_113075_2007-09-19_final
2007-09-19 11:29:02	ga_ls7e_ard_3-0-0_113076_2007-09-19_final
2007-09-19 11:29:26	ga_ls7e_ard_3-0-0_113077_2007-09-19_final
2007-11-13 11:31:56	ga_ls7e_ard_3-0-0_114067_2007-11-13_final
2008-02-26 11:28:40	ga_ls7e_ard_3-0-0_113074_2008-02-26_final
2008-02-26 11:29:04	ga_ls7e_ard_3-0-0_113075_2008-02-26_final
2008-02-26 11:29:28	ga_ls7e_ard_3-0-0_113076_2008-02-26_final
2008-02-26 11:29:52	ga_ls7e_ard_3-0-0_113077_2008-02-26_final
2008-02-28 11:18:41	ga_ls7e_ard_3-0-0_111080_2008-02-28_final
2008-02-28 11:19:05	ga_ls7e_ard_3-0-0_111081_2008-02-28_final
2008-02-28 11:19:29	ga_ls7e_ard_3-1-0_111082_2008-02-28_final
2008-02-28 11:19:53	ga_ls7e_ard_3-0-0_111083_2008-02-28_final
2008-02-28 11:20:17	ga_ls7e_ard_3-0-0_111084_2008-02-28_final
2017-12-12 11:35:04	ga_ls7e_ard_3-0-0_112075_2017-12-12_final
2017-12-12 11:35:28	ga_ls7e_ard_3-0-0_112076_2017-12-12_final
2017-12-12 11:35:52	ga_ls7e_ard_3-1-0_112077_2017-12-12_final
2017-12-12 11:36:15	ga_ls7e_ard_3-0-0_112078_2017-12-12_final
2017-12-12 11:36:39	ga_ls7e_ard_3-0-0_112079_2017-12-12_final
2017-12-12 11:37:03	ga_ls7e_ard_3-0-0_112080_2017-12-12_final
2017-12-12 11:37:27	ga_ls7e_ard_3-0-0_112081_2017-12-12_final
2018-06-15 11:28:11	ga_ls7e_ard_3-0-0_111080_2018-06-15_final
2018-06-15 11:28:35	ga_ls7e_ard_3-0-0_111081_2018-06-15_final
2018-06-15 11:28:59	ga_ls7e_ard_3-1-0_111082_2018-06-15_final
2018-06-15 11:29:23	ga_ls7e_ard_3-0-0_111083_2018-06-15_final
2018-06-15 11:29:47	ga_ls7e_ard_3-0-0_111084_2018-06-15_final
2018-06-20 11:41:27	ga_ls7e_ard_3-0-0_114067_2018-06-20_final
2019-02-01 11:27:18	ga_ls7e_ard_3-0-0_112076_2019-02-01_final
2019-02-01 11:27:42	ga_ls7e_ard_3-0-0_112077_2019-02-01_final
2019-02-01 11:28:06	ga_ls7e_ard_3-0-0_112078_2019-02-01_final
2019-02-01 11:28:30	ga_ls7e_ard_3-0-0_112079_2019-02-01_final
2019-02-01 11:28:54	ga_ls7e_ard_3-0-0_112080_2019-02-01_final
2019-02-01 11:29:18	ga_ls7e_ard_3-0-0_112081_2019-02-01_final
2019-02-15 11:35:40	ga_ls7e_ard_3-0-0_114067_2019-02-15_final
2019-02-17 11:26:26	ga_ls7e_ard_3-1-0_112075_2019-02-17_final
2019-02-17 11:26:50	ga_ls7e_ard_3-1-0_112076_2019-02-17_final
2019-02-17 11:27:14	ga_ls7e_ard_3-1-0_112077_2019-02-17_final
2019-02-17 11:27:38	ga_ls7e_ard_3-1-0_112078_2019-02-17_final
2019-02-17 11:28:02	ga_ls7e_ard_3-1-0_112079_2019-02-17_final
2019-02-17 11:28:26	ga_ls7e_ard_3-1-0_112080_2019-02-17_final
2019-02-17 11:28:50	ga_ls7e_ard_3-1-0_112081_2019-02-17_final
2019-04-29 11:29:49	ga_ls7e_ard_3-0-0_113074_2019-04-29_final
2019-04-29 11:30:13	ga_ls7e_ard_3-0-0_113075_2019-04-29_final
2019-04-29 11:30:36	ga_ls7e_ard_3-0-0_113076_2019-04-29_final
2019-04-29 11:31:00	ga_ls7e_ard_3-0-0_113077_2019-04-29_final
2019-05-01 11:19:46	ga_ls7e_ard_3-0-0_111080_2019-05-01_final
2019-05-01 11:20:10	ga_ls7e_ard_3-0-0_111081_2019-05-01_final
2019-05-01 11:20:58	ga_ls7e_ard_3-0-0_111083_2019-05-01_final
2019-05-01 11:21:22	ga_ls7e_ard_3-0-0_111084_2019-05-01_final
2020-09-01 10:50:44	ga_ls7e_ard_3-1-0_110084_2020-09-01_final
2020-10-10 10:52:47	ga_ls7e_ard_3-1-0_111080_2020-10-10_final
2020-10-10 10:53:11	ga_ls7e_ard_3-1-0_111081_2020-10-10_final
2020-10-10 10:53:35	ga_ls7e_ard_3-1-0_111082_2020-10-10_final
2020-10-10 10:53:59	ga_ls7e_ard_3-1-0_111083_2020-10-10_final
2020-10-10 10:54:23	ga_ls7e_ard_3-1-0_111084_2020-10-10_final
2020-11-25 10:59:38	ga_ls7e_ard_3-1-0_113074_2020-11-25_final
2020-11-25 11:00:02	ga_ls7e_ard_3-1-0_113075_2020-11-25_final
2020-11-25 11:00:26	ga_ls7e_ard_3-1-0_113076_2020-11-25_final
2020-11-25 11:00:50	ga_ls7e_ard_3-1-0_113077_2020-11-25_final
2020-11-27 10:49:32	ga_ls7e_ard_3-1-0_111080_2020-11-27_final
2020-11-27 10:49:56	ga_ls7e_ard_3-1-0_111081_2020-11-27_final
2020-11-27 10:50:20	ga_ls7e_ard_3-1-0_111082_2020-11-27_final
2020-11-27 10:50:44	ga_ls7e_ard_3-1-0_111083_2020-11-27_final
2020-12-04 10:53:36	ga_ls7e_ard_3-1-0_112076_2020-12-04_final
2020-12-04 10:54:00	ga_ls7e_ard_3-1-0_112077_2020-12-04_final
2020-12-04 10:54:24	ga_ls7e_ard_3-1-0_112078_2020-12-04_final
2020-12-04 10:54:48	ga_ls7e_ard_3-1-0_112079_2020-12-04_final
2020-12-04 10:55:12	ga_ls7e_ard_3-1-0_112080_2020-12-04_final
2020-12-04 10:55:36	ga_ls7e_ard_3-1-0_112081_2020-12-04_final
2021-01-21 10:50:32	ga_ls7e_ard_3-2-0_112077_2021-01-21_final
2021-01-23 10:40:50	ga_ls7e_ard_3-2-0_110084_2021-01-23_final
2021-03-19 10:41:13	ga_ls7e_ard_3-2-0_111080_2021-03-19_final
2021-03-19 10:41:37	ga_ls7e_ard_3-2-0_111081_2021-03-19_final
2021-03-19 10:42:01	ga_ls7e_ard_3-2-0_111082_2021-03-19_final
2021-03-19 10:42:25	ga_ls7e_ard_3-2-0_111083_2021-03-19_final
2021-03-19 10:42:49	ga_ls7e_ard_3-2-0_111084_2021-03-19_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