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
2003-12-27 11:40:06	ga_ls7e_ard_3-0-0_115075_2003-12-27_final
2003-12-27 11:40:29	ga_ls7e_ard_3-0-0_115076_2003-12-27_final
2003-12-27 11:40:53	ga_ls7e_ard_3-0-0_115077_2003-12-27_final
2003-12-27 11:41:17	ga_ls7e_ard_3-0-0_115078_2003-12-27_final
2003-12-27 11:41:41	ga_ls7e_ard_3-0-0_115079_2003-12-27_final
2004-01-12 11:40:07	ga_ls7e_ard_3-0-0_115075_2004-01-12_final
2004-01-12 11:40:31	ga_ls7e_ard_3-0-0_115076_2004-01-12_final
2004-01-12 11:40:55	ga_ls7e_ard_3-1-0_115077_2004-01-12_final
2004-01-12 11:41:19	ga_ls7e_ard_3-0-0_115078_2004-01-12_final
2004-01-12 11:41:43	ga_ls7e_ard_3-0-0_115079_2004-01-12_final
2004-01-14 11:31:21	ga_ls7e_ard_3-0-0_113084_2004-01-14_final
2004-02-13 11:40:19	ga_ls7e_ard_3-0-0_115075_2004-02-13_final
2004-02-13 11:40:43	ga_ls7e_ard_3-0-0_115076_2004-02-13_final
2004-02-13 11:41:07	ga_ls7e_ard_3-1-0_115077_2004-02-13_final
2004-02-13 11:41:31	ga_ls7e_ard_3-0-0_115078_2004-02-13_final
2004-02-22 11:36:07	ga_ls7e_ard_3-0-0_114080_2004-02-22_final
2004-03-16 11:40:28	ga_ls7e_ard_3-0-0_115075_2004-03-16_final
2004-03-16 11:40:52	ga_ls7e_ard_3-0-0_115076_2004-03-16_final
2004-03-16 11:41:16	ga_ls7e_ard_3-1-0_115077_2004-03-16_final
2004-03-16 11:41:40	ga_ls7e_ard_3-0-0_115078_2004-03-16_final
2004-03-16 11:42:04	ga_ls7e_ard_3-0-0_115079_2004-03-16_final
2004-03-18 11:31:42	ga_ls7e_ard_3-0-0_113084_2004-03-18_final
2004-04-26 11:36:10	ga_ls7e_ard_3-0-0_114080_2004-04-26_final
2004-04-26 11:36:34	ga_ls7e_ard_3-0-0_114081_2004-04-26_final
2004-05-12 11:36:13	ga_ls7e_ard_3-0-0_114080_2004-05-12_final
2004-06-20 11:40:13	ga_ls7e_ard_3-0-0_115075_2004-06-20_final
2004-06-20 11:40:37	ga_ls7e_ard_3-0-0_115076_2004-06-20_final
2004-06-20 11:41:01	ga_ls7e_ard_3-0-0_115077_2004-06-20_final
2004-06-20 11:41:25	ga_ls7e_ard_3-0-0_115078_2004-06-20_final
2004-06-20 11:41:49	ga_ls7e_ard_3-1-0_115079_2004-06-20_final
2017-03-04 11:53:18	ga_ls7e_ard_3-0-0_115075_2017-03-04_final
2017-03-04 11:53:42	ga_ls7e_ard_3-0-0_115076_2017-03-04_final
2017-03-04 11:54:06	ga_ls7e_ard_3-1-0_115077_2017-03-04_final
2017-03-04 11:54:30	ga_ls7e_ard_3-0-0_115078_2017-03-04_final
2017-03-04 11:54:54	ga_ls7e_ard_3-0-0_115079_2017-03-04_final
2017-03-29 11:49:15	ga_ls7e_ard_3-0-0_114080_2017-03-29_final
2017-03-29 11:49:39	ga_ls7e_ard_3-0-0_114081_2017-03-29_final
2017-04-05 11:53:28	ga_ls7e_ard_3-0-0_115075_2017-04-05_final
2017-04-05 11:53:52	ga_ls7e_ard_3-0-0_115076_2017-04-05_final
2017-04-05 11:54:16	ga_ls7e_ard_3-0-0_115077_2017-04-05_final
2017-04-05 11:54:40	ga_ls7e_ard_3-0-0_115078_2017-04-05_final
2017-04-05 11:55:03	ga_ls7e_ard_3-0-0_115079_2017-04-05_final
2017-04-07 11:44:43	ga_ls7e_ard_3-0-0_113084_2017-04-07_final
2017-05-07 11:53:40	ga_ls7e_ard_3-0-0_115075_2017-05-07_final
2017-05-07 11:54:04	ga_ls7e_ard_3-0-0_115076_2017-05-07_final
2017-05-07 11:54:28	ga_ls7e_ard_3-0-0_115077_2017-05-07_final
2017-05-07 11:54:52	ga_ls7e_ard_3-0-0_115078_2017-05-07_final
2017-05-07 11:55:16	ga_ls7e_ard_3-0-0_115079_2017-05-07_final
2017-06-08 11:53:48	ga_ls7e_ard_3-0-0_115075_2017-06-08_final
2017-06-08 11:54:12	ga_ls7e_ard_3-0-0_115076_2017-06-08_final
2017-06-08 11:54:35	ga_ls7e_ard_3-1-0_115077_2017-06-08_final
2017-06-08 11:54:59	ga_ls7e_ard_3-0-0_115078_2017-06-08_final
2017-06-08 11:55:23	ga_ls7e_ard_3-0-0_115079_2017-06-08_final
2017-06-10 11:44:38	ga_ls7e_ard_3-0-0_113083_2017-06-10_final
2017-08-11 11:53:49	ga_ls7e_ard_3-0-0_115075_2017-08-11_final
2017-08-11 11:54:13	ga_ls7e_ard_3-0-0_115076_2017-08-11_final
2017-08-11 11:54:37	ga_ls7e_ard_3-0-0_115077_2017-08-11_final
2017-08-11 11:55:01	ga_ls7e_ard_3-0-0_115078_2017-08-11_final
2017-08-11 11:55:25	ga_ls7e_ard_3-0-0_115079_2017-08-11_final
2017-08-13 11:45:02	ga_ls7e_ard_3-0-0_113084_2017-08-13_final
2017-08-27 11:53:49	ga_ls7e_ard_3-0-0_115075_2017-08-27_final
2017-08-27 11:54:13	ga_ls7e_ard_3-0-0_115076_2017-08-27_final
2017-08-27 11:54:37	ga_ls7e_ard_3-1-0_115077_2017-08-27_final
2017-08-29 11:44:39	ga_ls7e_ard_3-0-0_113083_2017-08-29_final
2017-08-29 11:45:03	ga_ls7e_ard_3-0-0_113084_2017-08-29_final
2017-09-28 11:53:48	ga_ls7e_ard_3-0-0_115075_2017-09-28_final
2017-09-28 11:54:12	ga_ls7e_ard_3-0-0_115076_2017-09-28_final
2017-09-28 11:54:36	ga_ls7e_ard_3-1-0_115077_2017-09-28_final
2017-09-28 11:55:00	ga_ls7e_ard_3-0-0_115078_2017-09-28_final
2017-09-28 11:55:24	ga_ls7e_ard_3-0-0_115079_2017-09-28_final
2017-09-30 11:44:38	ga_ls7e_ard_3-0-0_113083_2017-09-30_final
2017-10-30 11:53:51	ga_ls7e_ard_3-0-0_115075_2017-10-30_final
2017-10-30 11:54:14	ga_ls7e_ard_3-0-0_115076_2017-10-30_final
2017-10-30 11:54:38	ga_ls7e_ard_3-1-0_115077_2017-10-30_final
2017-10-30 11:55:02	ga_ls7e_ard_3-0-0_115078_2017-10-30_final
2017-10-30 11:55:26	ga_ls7e_ard_3-0-0_115079_2017-10-30_final
2017-11-01 11:44:40	ga_ls7e_ard_3-0-0_113083_2017-11-01_final
2017-11-08 11:49:14	ga_ls7e_ard_3-0-0_114079_2017-11-08_final
2017-11-08 11:49:38	ga_ls7e_ard_3-0-0_114080_2017-11-08_final
2017-11-17 11:44:37	ga_ls7e_ard_3-0-0_113083_2017-11-17_final
2018-02-05 11:44:04	ga_ls7e_ard_3-0-0_113084_2018-02-05_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
2018-04-08 11:53:16	ga_ls7e_ard_3-0-0_115078_2018-04-08_final
2018-04-08 11:53:40	ga_ls7e_ard_3-0-0_115079_2018-04-08_final
2018-04-10 11:43:16	ga_ls7e_ard_3-0-0_113084_2018-04-10_final
2020-02-25 11:29:42	ga_ls7e_ard_3-1-0_115076_2020-02-25_final
2020-02-25 11:30:06	ga_ls7e_ard_3-1-0_115077_2020-02-25_final
2020-02-25 11:30:30	ga_ls7e_ard_3-1-0_115078_2020-02-25_final
2020-02-25 11:30:54	ga_ls7e_ard_3-1-0_115079_2020-02-25_final
2020-05-31 11:24:09	ga_ls7e_ard_3-1-0_115076_2020-05-31_final
2020-05-31 11:24:33	ga_ls7e_ard_3-1-0_115077_2020-05-31_final
2020-05-31 11:24:57	ga_ls7e_ard_3-1-0_115078_2020-05-31_final
2020-05-31 11:25:21	ga_ls7e_ard_3-1-0_115079_2020-05-31_final
2020-06-02 11:14:52	ga_ls7e_ard_3-1-0_113084_2020-06-02_final
2020-07-18 11:21:18	ga_ls7e_ard_3-1-0_115076_2020-07-18_final
2020-07-18 11:21:42	ga_ls7e_ard_3-1-0_115077_2020-07-18_final
2020-07-18 11:22:06	ga_ls7e_ard_3-1-0_115078_2020-07-18_final
2020-07-18 11:22:30	ga_ls7e_ard_3-1-0_115079_2020-07-18_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