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
1999-09-04 11:38:46	ga_ls7e_ard_3-0-0_114077_1999-09-04_final
1999-09-04 11:39:10	ga_ls7e_ard_3-0-0_114078_1999-09-04_final
1999-09-04 11:39:34	ga_ls7e_ard_3-0-0_114079_1999-09-04_final
1999-09-04 11:39:58	ga_ls7e_ard_3-0-0_114080_1999-09-04_final
1999-09-04 11:40:22	ga_ls7e_ard_3-0-0_114081_1999-09-04_final
1999-11-14 11:44:54	ga_ls7e_ard_3-1-0_115077_1999-11-14_final
2000-01-17 11:43:36	ga_ls7e_ard_3-0-0_115074_2000-01-17_final
2000-01-17 11:44:00	ga_ls7e_ard_3-0-0_115075_2000-01-17_final
2000-01-17 11:44:24	ga_ls7e_ard_3-0-0_115076_2000-01-17_final
2000-01-17 11:44:48	ga_ls7e_ard_3-1-0_115077_2000-01-17_final
2000-01-17 11:45:12	ga_ls7e_ard_3-0-0_115078_2000-01-17_final
2000-01-19 11:34:00	ga_ls7e_ard_3-0-0_113081_2000-01-19_final
2000-01-19 11:34:24	ga_ls7e_ard_3-0-0_113082_2000-01-19_final
2000-01-19 11:34:48	ga_ls7e_ard_3-0-0_113083_2000-01-19_final
2000-01-19 11:35:12	ga_ls7e_ard_3-0-0_113084_2000-01-19_final
2007-09-17 11:40:37	ga_ls7e_ard_3-0-0_115074_2007-09-17_final
2007-09-17 11:41:01	ga_ls7e_ard_3-0-0_115075_2007-09-17_final
2007-09-17 11:41:24	ga_ls7e_ard_3-0-0_115076_2007-09-17_final
2007-09-17 11:41:48	ga_ls7e_ard_3-1-0_115077_2007-09-17_final
2007-09-17 11:42:12	ga_ls7e_ard_3-0-0_115078_2007-09-17_final
2007-09-19 11:31:02	ga_ls7e_ard_3-0-0_113081_2007-09-19_final
2007-09-19 11:31:26	ga_ls7e_ard_3-0-0_113082_2007-09-19_final
2007-09-19 11:31:50	ga_ls7e_ard_3-0-0_113083_2007-09-19_final
2008-02-17 11:36:05	ga_ls7e_ard_3-0-0_114077_2008-02-17_final
2008-02-17 11:36:29	ga_ls7e_ard_3-0-0_114078_2008-02-17_final
2008-02-17 11:36:53	ga_ls7e_ard_3-0-0_114079_2008-02-17_final
2008-02-17 11:37:17	ga_ls7e_ard_3-0-0_114080_2008-02-17_final
2018-06-04 11:45:44	ga_ls7e_ard_3-0-0_114077_2018-06-04_final
2018-08-14 11:49:24	ga_ls7e_ard_3-0-0_115074_2018-08-14_final
2018-08-14 11:49:48	ga_ls7e_ard_3-0-0_115075_2018-08-14_final
2018-08-16 11:39:47	ga_ls7e_ard_3-0-0_113081_2018-08-16_final
2018-08-16 11:40:11	ga_ls7e_ard_3-0-0_113082_2018-08-16_final
2018-08-16 11:40:35	ga_ls7e_ard_3-0-0_113083_2018-08-16_final
2018-08-16 11:40:59	ga_ls7e_ard_3-0-0_113084_2018-08-16_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
2018-10-01 11:49:57	ga_ls7e_ard_3-0-0_115078_2018-10-01_final
2018-10-03 11:38:44	ga_ls7e_ard_3-0-0_113081_2018-10-03_final
2018-10-03 11:39:08	ga_ls7e_ard_3-0-0_113082_2018-10-03_final
2018-10-03 11:39:32	ga_ls7e_ard_3-0-0_113083_2018-10-03_final
2018-10-10 11:43:09	ga_ls7e_ard_3-0-0_114077_2018-10-10_final
2018-10-10 11:43:33	ga_ls7e_ard_3-0-0_114078_2018-10-10_final
2018-10-10 11:43:57	ga_ls7e_ard_3-0-0_114079_2018-10-10_final
2018-10-10 11:44:21	ga_ls7e_ard_3-0-0_114080_2018-10-10_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
2019-12-07 11:34:35	ga_ls7e_ard_3-1-0_115078_2019-12-07_final
2020-01-01 11:26:43	ga_ls7e_ard_3-1-0_114077_2020-01-01_final
2020-01-01 11:27:07	ga_ls7e_ard_3-1-0_114078_2020-01-01_final
2020-01-01 11:27:31	ga_ls7e_ard_3-1-0_114079_2020-01-01_final
2020-01-01 11:27:55	ga_ls7e_ard_3-1-0_114080_2020-01-01_final
2020-01-01 11:28:19	ga_ls7e_ard_3-1-0_114081_2020-01-01_final
2020-05-15 11:24:19	ga_ls7e_ard_3-1-0_115074_2020-05-15_final
2020-05-15 11:24:43	ga_ls7e_ard_3-1-0_115075_2020-05-15_final
2020-05-15 11:25:07	ga_ls7e_ard_3-1-0_115076_2020-05-15_final
2020-05-15 11:25:31	ga_ls7e_ard_3-1-0_115077_2020-05-15_final
2020-05-15 11:25:55	ga_ls7e_ard_3-1-0_115078_2020-05-15_final
2020-07-11 11:15:57	ga_ls7e_ard_3-1-0_114077_2020-07-11_final
2020-07-11 11:16:21	ga_ls7e_ard_3-1-0_114078_2020-07-11_final
2020-07-11 11:16:45	ga_ls7e_ard_3-1-0_114079_2020-07-11_final
2020-07-11 11:17:08	ga_ls7e_ard_3-1-0_114080_2020-07-11_final
2020-07-11 11:17:32	ga_ls7e_ard_3-1-0_114081_2020-07-11_final
2020-07-20 11:10:49	ga_ls7e_ard_3-1-0_113081_2020-07-20_final
2020-07-20 11:11:13	ga_ls7e_ard_3-1-0_113082_2020-07-20_final
2020-07-20 11:11:36	ga_ls7e_ard_3-1-0_113083_2020-07-20_final
2020-07-20 11:12:00	ga_ls7e_ard_3-1-0_113084_2020-07-20_final
2020-09-04 11:17:27	ga_ls7e_ard_3-1-0_115074_2020-09-04_final
2020-09-04 11:17:51	ga_ls7e_ard_3-1-0_115075_2020-09-04_final
2020-09-04 11:18:15	ga_ls7e_ard_3-1-0_115076_2020-09-04_final
2020-09-04 11:18:39	ga_ls7e_ard_3-1-0_115077_2020-09-04_final
2020-09-04 11:19:03	ga_ls7e_ard_3-1-0_115078_2020-09-04_final
2020-09-06 11:07:45	ga_ls7e_ard_3-1-0_113081_2020-09-06_final
2020-10-08 11:05:40	ga_ls7e_ard_3-1-0_113081_2020-10-08_final
2020-10-08 11:06:04	ga_ls7e_ard_3-1-0_113082_2020-10-08_final
2020-10-08 11:06:28	ga_ls7e_ard_3-1-0_113083_2020-10-08_final
2020-10-08 11:06:52	ga_ls7e_ard_3-1-0_113084_2020-10-08_final
2020-10-15 11:09:48	ga_ls7e_ard_3-1-0_114077_2020-10-15_final
2020-10-15 11:10:12	ga_ls7e_ard_3-1-0_114078_2020-10-15_final
2020-10-15 11:10:36	ga_ls7e_ard_3-1-0_114079_2020-10-15_final
2020-10-15 11:11:00	ga_ls7e_ard_3-1-0_114080_2020-10-15_final
2020-10-31 11:08:45	ga_ls7e_ard_3-1-0_114077_2020-10-31_final
2020-10-31 11:09:09	ga_ls7e_ard_3-1-0_114078_2020-10-31_final
2020-10-31 11:09:33	ga_ls7e_ard_3-1-0_114079_2020-10-31_final
2020-10-31 11:09:57	ga_ls7e_ard_3-1-0_114080_2020-10-31_final
2020-11-16 11:07:39	ga_ls7e_ard_3-1-0_114077_2020-11-16_final
2020-11-16 11:08:03	ga_ls7e_ard_3-1-0_114078_2020-11-16_final
2020-11-16 11:08:27	ga_ls7e_ard_3-1-0_114079_2020-11-16_final
2020-11-16 11:08:51	ga_ls7e_ard_3-1-0_114080_2020-11-16_final
2020-11-16 11:09:15	ga_ls7e_ard_3-1-0_114081_2020-11-16_final
2020-11-25 11:02:26	ga_ls7e_ard_3-1-0_113081_2020-11-25_final
2020-11-25 11:02:50	ga_ls7e_ard_3-1-0_113082_2020-11-25_final
2020-11-25 11:03:14	ga_ls7e_ard_3-1-0_113083_2020-11-25_final
2020-12-02 11:06:30	ga_ls7e_ard_3-1-0_114077_2020-12-02_final
2020-12-02 11:06:54	ga_ls7e_ard_3-1-0_114078_2020-12-02_final
2020-12-02 11:07:18	ga_ls7e_ard_3-1-0_114079_2020-12-02_final
2020-12-02 11:07:42	ga_ls7e_ard_3-1-0_114080_2020-12-02_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years