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
2014-11-23 11:49:05	ga_ls7e_ard_3-0-0_115074_2014-11-23_final
2014-11-23 11:49:29	ga_ls7e_ard_3-0-0_115075_2014-11-23_final
2014-11-23 11:49:53	ga_ls7e_ard_3-0-0_115076_2014-11-23_final
2014-11-23 11:50:17	ga_ls7e_ard_3-1-0_115077_2014-11-23_final
2014-11-25 11:39:08	ga_ls7e_ard_3-0-0_113080_2014-11-25_final
2014-11-25 11:39:32	ga_ls7e_ard_3-0-0_113081_2014-11-25_final
2014-11-25 11:39:56	ga_ls7e_ard_3-0-0_113082_2014-11-25_final
2014-11-25 11:40:20	ga_ls7e_ard_3-0-0_113083_2014-11-25_final
2014-11-25 11:40:44	ga_ls7e_ard_3-0-0_113084_2014-11-25_final
2015-05-11 11:44:26	ga_ls7e_ard_3-0-0_114075_2015-05-11_final
2015-05-11 11:44:50	ga_ls7e_ard_3-0-0_114076_2015-05-11_final
2015-05-11 11:45:14	ga_ls7e_ard_3-0-0_114077_2015-05-11_final
2015-05-11 11:45:38	ga_ls7e_ard_3-0-0_114078_2015-05-11_final
2015-05-11 11:46:01	ga_ls7e_ard_3-0-0_114079_2015-05-11_final
2015-05-11 11:46:25	ga_ls7e_ard_3-0-0_114080_2015-05-11_final
2015-05-11 11:46:49	ga_ls7e_ard_3-0-0_114081_2015-05-11_final
2015-05-13 11:35:17	ga_ls7e_ard_3-0-0_112083_2015-05-13_final
2015-05-13 11:35:41	ga_ls7e_ard_3-0-0_112084_2015-05-13_final
2015-05-27 11:44:53	ga_ls7e_ard_3-0-0_114076_2015-05-27_final
2015-05-27 11:45:17	ga_ls7e_ard_3-0-0_114077_2015-05-27_final
2015-05-27 11:45:41	ga_ls7e_ard_3-0-0_114078_2015-05-27_final
2015-05-27 11:46:05	ga_ls7e_ard_3-0-0_114079_2015-05-27_final
2015-05-27 11:46:29	ga_ls7e_ard_3-0-0_114080_2015-05-27_final
2015-05-27 11:46:53	ga_ls7e_ard_3-0-0_114081_2015-05-27_final
2015-05-29 11:35:20	ga_ls7e_ard_3-0-0_112083_2015-05-29_final
2015-05-29 11:35:44	ga_ls7e_ard_3-0-0_112084_2015-05-29_final
2018-02-03 11:52:28	ga_ls7e_ard_3-0-0_115074_2018-02-03_final
2018-02-03 11:52:52	ga_ls7e_ard_3-0-0_115075_2018-02-03_final
2018-02-03 11:53:16	ga_ls7e_ard_3-0-0_115076_2018-02-03_final
2018-02-03 11:53:40	ga_ls7e_ard_3-1-0_115077_2018-02-03_final
2018-02-05 11:42:28	ga_ls7e_ard_3-0-0_113080_2018-02-05_final
2018-02-05 11:43:16	ga_ls7e_ard_3-0-0_113082_2018-02-05_final
2018-02-05 11:43:40	ga_ls7e_ard_3-0-0_113083_2018-02-05_final
2018-02-05 11:44:04	ga_ls7e_ard_3-0-0_113084_2018-02-05_final
2018-02-19 11:52:17	ga_ls7e_ard_3-0-0_115074_2018-02-19_final
2018-02-19 11:52:41	ga_ls7e_ard_3-0-0_115075_2018-02-19_final
2018-02-19 11:53:05	ga_ls7e_ard_3-0-0_115076_2018-02-19_final
2018-02-19 11:53:29	ga_ls7e_ard_3-1-0_115077_2018-02-19_final
2018-02-21 11:42:18	ga_ls7e_ard_3-0-0_113080_2018-02-21_final
2018-02-21 11:42:42	ga_ls7e_ard_3-0-0_113081_2018-02-21_final
2018-02-21 11:43:06	ga_ls7e_ard_3-0-0_113082_2018-02-21_final
2018-02-21 11:43:30	ga_ls7e_ard_3-0-0_113083_2018-02-21_final
2018-02-21 11:43:54	ga_ls7e_ard_3-0-0_113084_2018-02-21_final
2018-04-08 11:51:40	ga_ls7e_ard_3-0-0_115074_2018-04-08_final
2018-04-08 11:52:04	ga_ls7e_ard_3-0-0_115075_2018-04-08_final
2018-04-08 11:52:28	ga_ls7e_ard_3-0-0_115076_2018-04-08_final
2018-04-08 11:52:52	ga_ls7e_ard_3-1-0_115077_2018-04-08_final
2018-04-10 11:41:40	ga_ls7e_ard_3-0-0_113080_2018-04-10_final
2018-04-10 11:42:52	ga_ls7e_ard_3-0-0_113083_2018-04-10_final
2018-04-10 11:43:16	ga_ls7e_ard_3-0-0_113084_2018-04-10_final
2018-09-15 11:48:44	ga_ls7e_ard_3-0-0_115074_2018-09-15_final
2018-09-15 11:49:08	ga_ls7e_ard_3-0-0_115075_2018-09-15_final
2018-09-15 11:49:32	ga_ls7e_ard_3-0-0_115076_2018-09-15_final
2018-09-15 11:49:56	ga_ls7e_ard_3-0-0_115077_2018-09-15_final
2018-09-24 11:42:44	ga_ls7e_ard_3-0-0_114075_2018-09-24_final
2018-09-24 11:43:08	ga_ls7e_ard_3-0-0_114076_2018-09-24_final
2018-09-24 11:43:32	ga_ls7e_ard_3-0-0_114077_2018-09-24_final
2018-09-24 11:43:56	ga_ls7e_ard_3-0-0_114078_2018-09-24_final
2018-09-24 11:44:20	ga_ls7e_ard_3-0-0_114079_2018-09-24_final
2018-09-24 11:44:44	ga_ls7e_ard_3-0-0_114080_2018-09-24_final
2018-09-24 11:45:08	ga_ls7e_ard_3-0-0_114081_2018-09-24_final
2018-10-01 11:48:21	ga_ls7e_ard_3-0-0_115074_2018-10-01_final
2018-10-01 11:48:45	ga_ls7e_ard_3-0-0_115075_2018-10-01_final
2018-10-01 11:49:09	ga_ls7e_ard_3-0-0_115076_2018-10-01_final
2018-10-01 11:49:33	ga_ls7e_ard_3-0-0_115077_2018-10-01_final
2018-11-04 11:37:36	ga_ls7e_ard_3-0-0_113080_2018-11-04_final
2018-11-04 11:38:00	ga_ls7e_ard_3-0-0_113081_2018-11-04_final
2018-11-04 11:38:24	ga_ls7e_ard_3-0-0_113082_2018-11-04_final
2018-11-04 11:38:48	ga_ls7e_ard_3-0-0_113083_2018-11-04_final
2018-11-29 11:32:01	ga_ls7e_ard_3-0-0_112083_2018-11-29_final
2018-12-13 11:40:49	ga_ls7e_ard_3-0-0_114075_2018-12-13_final
2018-12-13 11:41:12	ga_ls7e_ard_3-0-0_114076_2018-12-13_final
2018-12-22 11:36:22	ga_ls7e_ard_3-0-0_113080_2018-12-22_final
2018-12-22 11:36:46	ga_ls7e_ard_3-0-0_113081_2018-12-22_final
2018-12-22 11:37:10	ga_ls7e_ard_3-0-0_113082_2018-12-22_final
2018-12-22 11:37:34	ga_ls7e_ard_3-0-0_113083_2018-12-22_final
2018-12-22 11:37:58	ga_ls7e_ard_3-0-0_113084_2018-12-22_final
2019-01-16 11:30:37	ga_ls7e_ard_3-0-0_112083_2019-01-16_final
2019-01-16 11:31:01	ga_ls7e_ard_3-1-0_112084_2019-01-16_final
2019-01-21 11:45:24	ga_ls7e_ard_3-0-0_115074_2019-01-21_final
2019-01-21 11:45:48	ga_ls7e_ard_3-0-0_115075_2019-01-21_final
2019-01-21 11:46:12	ga_ls7e_ard_3-0-0_115076_2019-01-21_final
2019-01-21 11:46:36	ga_ls7e_ard_3-0-0_115077_2019-01-21_final
2019-08-19 11:27:53	ga_ls7e_ard_3-0-0_113080_2019-08-19_final
2019-08-19 11:28:17	ga_ls7e_ard_3-0-0_113081_2019-08-19_final
2019-08-19 11:28:41	ga_ls7e_ard_3-0-0_113082_2019-08-19_final
2019-08-19 11:29:05	ga_ls7e_ard_3-0-0_113083_2019-08-19_final
2019-08-19 11:29:29	ga_ls7e_ard_3-0-0_113084_2019-08-19_final
2019-09-02 11:37:16	ga_ls7e_ard_3-1-0_115074_2019-09-02_final
2019-09-02 11:37:40	ga_ls7e_ard_3-1-0_115075_2019-09-02_final
2019-09-02 11:38:03	ga_ls7e_ard_3-1-0_115076_2019-09-02_final
2019-09-02 11:38:27	ga_ls7e_ard_3-1-0_115077_2019-09-02_final
2019-12-07 11:32:59	ga_ls7e_ard_3-1-0_115074_2019-12-07_final
2019-12-07 11:33:23	ga_ls7e_ard_3-1-0_115075_2019-12-07_final
2019-12-07 11:33:47	ga_ls7e_ard_3-1-0_115076_2019-12-07_final
2019-12-07 11:34:11	ga_ls7e_ard_3-1-0_115077_2019-12-07_final
2019-12-09 11:22:55	ga_ls7e_ard_3-1-0_113080_2019-12-09_final
2019-12-09 11:23:19	ga_ls7e_ard_3-1-0_113081_2019-12-09_final
2019-12-09 11:23:43	ga_ls7e_ard_3-1-0_113082_2019-12-09_final
2019-12-09 11:24:07	ga_ls7e_ard_3-1-0_113083_2019-12-09_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