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
2014-12-25 11:49:20	ga_ls7e_ard_3-0-0_115074_2014-12-25_final
2014-12-25 11:49:44	ga_ls7e_ard_3-0-0_115075_2014-12-25_final
2014-12-25 11:50:08	ga_ls7e_ard_3-0-0_115076_2014-12-25_final
2014-12-25 11:50:32	ga_ls7e_ard_3-0-0_115077_2014-12-25_final
2014-12-25 11:50:56	ga_ls7e_ard_3-0-0_115078_2014-12-25_final
2014-12-27 11:39:46	ga_ls7e_ard_3-0-0_113081_2014-12-27_final
2014-12-27 11:40:10	ga_ls7e_ard_3-0-0_113082_2014-12-27_final
2014-12-27 11:40:33	ga_ls7e_ard_3-0-0_113083_2014-12-27_final
2014-12-27 11:40:57	ga_ls7e_ard_3-0-0_113084_2014-12-27_final
2015-01-26 11:49:25	ga_ls7e_ard_3-0-0_115074_2015-01-26_final
2015-01-26 11:49:49	ga_ls7e_ard_3-0-0_115075_2015-01-26_final
2015-01-26 11:50:13	ga_ls7e_ard_3-0-0_115076_2015-01-26_final
2015-01-26 11:50:37	ga_ls7e_ard_3-1-0_115077_2015-01-26_final
2015-01-26 11:51:01	ga_ls7e_ard_3-0-0_115078_2015-01-26_final
2015-04-16 11:50:26	ga_ls7e_ard_3-0-0_115075_2015-04-16_final
2015-04-16 11:50:49	ga_ls7e_ard_3-0-0_115076_2015-04-16_final
2015-04-16 11:51:13	ga_ls7e_ard_3-0-0_115077_2015-04-16_final
2015-04-16 11:51:37	ga_ls7e_ard_3-0-0_115078_2015-04-16_final
2015-04-18 11:40:28	ga_ls7e_ard_3-0-0_113081_2015-04-18_final
2015-04-18 11:40:52	ga_ls7e_ard_3-0-0_113082_2015-04-18_final
2015-04-18 11:41:16	ga_ls7e_ard_3-0-0_113083_2015-04-18_final
2015-04-18 11:41:40	ga_ls7e_ard_3-0-0_113084_2015-04-18_final
2015-06-03 11:50:21	ga_ls7e_ard_3-0-0_115074_2015-06-03_final
2015-06-03 11:50:45	ga_ls7e_ard_3-0-0_115075_2015-06-03_final
2015-06-03 11:51:08	ga_ls7e_ard_3-0-0_115076_2015-06-03_final
2015-06-03 11:51:32	ga_ls7e_ard_3-1-0_115077_2015-06-03_final
2015-06-03 11:51:56	ga_ls7e_ard_3-0-0_115078_2015-06-03_final
2017-03-06 11:43:21	ga_ls7e_ard_3-0-0_113081_2017-03-06_final
2017-03-06 11:43:45	ga_ls7e_ard_3-0-0_113082_2017-03-06_final
2017-03-06 11:44:09	ga_ls7e_ard_3-0-0_113083_2017-03-06_final
2017-03-06 11:44:33	ga_ls7e_ard_3-0-0_113084_2017-03-06_final
2017-04-23 11:43:38	ga_ls7e_ard_3-0-0_113081_2017-04-23_final
2017-04-23 11:44:02	ga_ls7e_ard_3-0-0_113082_2017-04-23_final
2017-04-23 11:44:26	ga_ls7e_ard_3-0-0_113083_2017-04-23_final
2017-04-23 11:44:50	ga_ls7e_ard_3-0-0_113084_2017-04-23_final
2017-08-04 11:48:27	ga_ls7e_ard_3-0-0_114077_2017-08-04_final
2017-08-04 11:48:51	ga_ls7e_ard_3-0-0_114078_2017-08-04_final
2017-08-04 11:49:15	ga_ls7e_ard_3-0-0_114079_2017-08-04_final
2017-08-04 11:49:39	ga_ls7e_ard_3-0-0_114080_2017-08-04_final
2017-08-11 11:53:25	ga_ls7e_ard_3-0-0_115074_2017-08-11_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
2017-11-01 11:43:52	ga_ls7e_ard_3-0-0_113081_2017-11-01_final
2017-11-01 11:44:16	ga_ls7e_ard_3-0-0_113082_2017-11-01_final
2017-11-01 11:44:40	ga_ls7e_ard_3-0-0_113083_2017-11-01_final
2018-01-11 11:47:51	ga_ls7e_ard_3-0-0_114077_2018-01-11_final
2018-01-11 11:48:15	ga_ls7e_ard_3-0-0_114078_2018-01-11_final
2018-01-11 11:48:39	ga_ls7e_ard_3-0-0_114079_2018-01-11_final
2018-01-11 11:49:03	ga_ls7e_ard_3-0-0_114080_2018-01-11_final
2018-04-01 11:46:47	ga_ls7e_ard_3-0-0_114077_2018-04-01_final
2018-04-01 11:47:11	ga_ls7e_ard_3-0-0_114078_2018-04-01_final
2018-04-01 11:47:35	ga_ls7e_ard_3-0-0_114079_2018-04-01_final
2018-04-01 11:47:59	ga_ls7e_ard_3-0-0_114080_2018-04-01_final
2018-04-01 11:48:23	ga_ls7e_ard_3-0-0_114081_2018-04-01_final
2018-04-17 11:46:32	ga_ls7e_ard_3-0-0_114077_2018-04-17_final
2018-04-17 11:46:56	ga_ls7e_ard_3-0-0_114078_2018-04-17_final
2018-04-17 11:47:20	ga_ls7e_ard_3-0-0_114079_2018-04-17_final
2018-04-17 11:47:44	ga_ls7e_ard_3-0-0_114080_2018-04-17_final
2018-05-19 11:45:59	ga_ls7e_ard_3-0-0_114077_2018-05-19_final
2018-05-19 11:46:23	ga_ls7e_ard_3-0-0_114078_2018-05-19_final
2018-05-19 11:46:47	ga_ls7e_ard_3-0-0_114079_2018-05-19_final
2018-05-19 11:47:11	ga_ls7e_ard_3-0-0_114080_2018-05-19_final
2018-05-19 11:47:35	ga_ls7e_ard_3-0-0_114081_2018-05-19_final
2018-06-20 11:45:26	ga_ls7e_ard_3-0-0_114077_2018-06-20_final
2018-06-20 11:45:50	ga_ls7e_ard_3-0-0_114078_2018-06-20_final
2018-06-20 11:46:14	ga_ls7e_ard_3-0-0_114079_2018-06-20_final
2018-06-20 11:46:38	ga_ls7e_ard_3-0-0_114080_2018-06-20_final
2018-06-20 11:47:02	ga_ls7e_ard_3-0-0_114081_2018-06-20_final
2018-06-27 11:50:17	ga_ls7e_ard_3-0-0_115074_2018-06-27_final
2018-06-27 11:50:41	ga_ls7e_ard_3-0-0_115075_2018-06-27_final
2018-06-27 11:51:05	ga_ls7e_ard_3-0-0_115076_2018-06-27_final
2018-06-27 11:51:29	ga_ls7e_ard_3-1-0_115077_2018-06-27_final
2018-06-27 11:51:53	ga_ls7e_ard_3-0-0_115078_2018-06-27_final
2018-06-29 11:40:41	ga_ls7e_ard_3-0-0_113081_2018-06-29_final
2018-06-29 11:41:05	ga_ls7e_ard_3-0-0_113082_2018-06-29_final
2018-06-29 11:41:29	ga_ls7e_ard_3-0-0_113083_2018-06-29_final
2018-06-29 11:41:52	ga_ls7e_ard_3-0-0_113084_2018-06-29_final
2018-08-30 11:49:05	ga_ls7e_ard_3-0-0_115074_2018-08-30_final
2018-08-30 11:49:28	ga_ls7e_ard_3-0-0_115075_2018-08-30_final
2018-08-30 11:49:52	ga_ls7e_ard_3-0-0_115076_2018-08-30_final
2018-08-30 11:50:16	ga_ls7e_ard_3-1-0_115077_2018-08-30_final
2018-08-30 11:50:40	ga_ls7e_ard_3-0-0_115078_2018-08-30_final
2018-09-01 11:39:28	ga_ls7e_ard_3-0-0_113081_2018-09-01_final
2018-09-01 11:39:52	ga_ls7e_ard_3-0-0_113082_2018-09-01_final
2018-09-01 11:40:16	ga_ls7e_ard_3-0-0_113083_2018-09-01_final
2018-09-01 11:40:40	ga_ls7e_ard_3-0-0_113084_2018-09-01_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
2019-09-02 11:38:51	ga_ls7e_ard_3-1-0_115078_2019-09-02_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
2020-01-10 11:21:40	ga_ls7e_ard_3-1-0_113081_2020-01-10_final
2020-01-10 11:22:04	ga_ls7e_ard_3-1-0_113082_2020-01-10_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