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
2000-10-19 11:18:40	ga_ls7e_ard_3-0-0_111080_2000-10-19_final
2000-10-19 11:19:04	ga_ls7e_ard_3-0-0_111081_2000-10-19_final
2000-10-19 11:19:28	ga_ls7e_ard_3-1-0_111082_2000-10-19_final
2000-10-19 11:19:52	ga_ls7e_ard_3-0-0_111083_2000-10-19_final
2000-10-19 11:20:16	ga_ls7e_ard_3-0-0_111084_2000-10-19_final
2000-11-04 11:18:50	ga_ls7e_ard_3-0-0_111080_2000-11-04_final
2000-11-04 11:19:14	ga_ls7e_ard_3-0-0_111081_2000-11-04_final
2000-11-04 11:19:38	ga_ls7e_ard_3-1-0_111082_2000-11-04_final
2000-11-04 11:20:02	ga_ls7e_ard_3-0-0_111083_2000-11-04_final
2000-11-09 11:32:09	ga_ls7e_ard_3-0-0_114067_2000-11-09_final
2000-11-11 11:23:00	ga_ls7e_ard_3-0-0_112075_2000-11-11_final
2000-11-11 11:23:24	ga_ls7e_ard_3-0-0_112076_2000-11-11_final
2000-11-11 11:23:48	ga_ls7e_ard_3-0-0_112077_2000-11-11_final
2000-11-11 11:24:12	ga_ls7e_ard_3-0-0_112078_2000-11-11_final
2000-11-11 11:24:35	ga_ls7e_ard_3-0-0_112079_2000-11-11_final
2000-11-11 11:24:59	ga_ls7e_ard_3-0-0_112080_2000-11-11_final
2000-11-11 11:25:23	ga_ls7e_ard_3-0-0_112081_2000-11-11_final
2001-01-07 11:18:55	ga_ls7e_ard_3-0-0_111080_2001-01-07_final
2001-01-07 11:19:19	ga_ls7e_ard_3-0-0_111081_2001-01-07_final
2001-01-07 11:19:43	ga_ls7e_ard_3-1-0_111082_2001-01-07_final
2001-01-07 11:20:07	ga_ls7e_ard_3-0-0_111083_2001-01-07_final
2001-01-07 11:20:31	ga_ls7e_ard_3-0-0_111084_2001-01-07_final
2004-03-18 11:27:43	ga_ls7e_ard_3-0-0_113074_2004-03-18_final
2004-03-18 11:28:07	ga_ls7e_ard_3-0-0_113075_2004-03-18_final
2004-03-18 11:28:31	ga_ls7e_ard_3-0-0_113076_2004-03-18_final
2004-03-18 11:28:55	ga_ls7e_ard_3-0-0_113077_2004-03-18_final
2004-03-20 11:17:45	ga_ls7e_ard_3-0-0_111080_2004-03-20_final
2004-03-20 11:18:09	ga_ls7e_ard_3-0-0_111081_2004-03-20_final
2004-03-20 11:18:33	ga_ls7e_ard_3-1-0_111082_2004-03-20_final
2004-03-20 11:18:57	ga_ls7e_ard_3-0-0_111083_2004-03-20_final
2004-04-26 11:30:58	ga_ls7e_ard_3-0-0_114067_2004-04-26_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 11:26:50	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
2021-01-30 10:44:54	ga_ls7e_ard_3-2-0_111080_2021-01-30_final
2021-01-30 10:45:18	ga_ls7e_ard_3-2-0_111081_2021-01-30_final
2021-01-30 10:45:42	ga_ls7e_ard_3-2-0_111082_2021-01-30_final
2021-01-30 10:46:06	ga_ls7e_ard_3-2-0_111083_2021-01-30_final
2021-01-30 10:46:30	ga_ls7e_ard_3-2-0_111084_2021-01-30_final
2021-02-06 10:48:58	ga_ls7e_ard_3-2-0_112076_2021-02-06_final
2021-02-06 10:49:22	ga_ls7e_ard_3-2-0_112077_2021-02-06_final
2021-02-06 10:49:46	ga_ls7e_ard_3-2-0_112078_2021-02-06_final
2021-02-06 10:50:10	ga_ls7e_ard_3-2-0_112079_2021-02-06_final
2021-02-06 10:50:34	ga_ls7e_ard_3-2-0_112080_2021-02-06_final
2021-02-13 10:53:50	ga_ls7e_ard_3-2-0_113074_2021-02-13_final
2021-02-13 10:54:14	ga_ls7e_ard_3-2-0_113075_2021-02-13_final
2021-02-13 10:54:38	ga_ls7e_ard_3-2-0_113076_2021-02-13_final
2021-02-13 10:55:02	ga_ls7e_ard_3-2-0_113077_2021-02-13_final
2021-02-15 10:43:43	ga_ls7e_ard_3-2-0_111080_2021-02-15_final
2021-02-15 10:44:07	ga_ls7e_ard_3-2-0_111081_2021-02-15_final
2021-02-15 10:44:31	ga_ls7e_ard_3-2-0_111082_2021-02-15_final
2021-02-15 10:44:55	ga_ls7e_ard_3-2-0_111083_2021-02-15_final
2021-02-15 10:45:19	ga_ls7e_ard_3-2-0_111084_2021-02-15_final
2021-02-22 10:47:46	ga_ls7e_ard_3-2-0_112076_2021-02-22_final
2021-02-22 10:48:10	ga_ls7e_ard_3-2-0_112077_2021-02-22_final
2021-02-22 10:48:34	ga_ls7e_ard_3-2-0_112078_2021-02-22_final
2021-02-22 10:48:58	ga_ls7e_ard_3-2-0_112079_2021-02-22_final
2021-02-22 10:49:22	ga_ls7e_ard_3-2-0_112080_2021-02-22_final
2021-02-22 10:49:46	ga_ls7e_ard_3-2-0_112081_2021-02-22_final
2021-03-10 10:46:31	ga_ls7e_ard_3-2-0_112076_2021-03-10_final
2021-03-10 10:46:55	ga_ls7e_ard_3-2-0_112077_2021-03-10_final
2021-03-10 10:47:19	ga_ls7e_ard_3-2-0_112078_2021-03-10_final
2021-03-10 10:47:43	ga_ls7e_ard_3-2-0_112079_2021-03-10_final
2021-03-10 10:48:07	ga_ls7e_ard_3-2-0_112080_2021-03-10_final
2021-03-10 10:48:31	ga_ls7e_ard_3-2-0_112081_2021-03-10_final
2021-03-17 10:51:21	ga_ls7e_ard_3-2-0_113074_2021-03-17_final
2021-03-17 10:51:45	ga_ls7e_ard_3-2-0_113075_2021-03-17_final
2021-03-17 10:52:09	ga_ls7e_ard_3-2-0_113076_2021-03-17_final
2021-03-17 10:52:33	ga_ls7e_ard_3-2-0_113077_2021-03-17_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