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
2012-01-04 11:35:15	ga_ls7e_ard_3-0-0_113081_2012-01-04_final
2012-01-04 11:35:39	ga_ls7e_ard_3-0-0_113082_2012-01-04_final
2012-01-11 11:39:27	ga_ls7e_ard_3-0-0_114076_2012-01-11_final
2012-01-11 11:39:51	ga_ls7e_ard_3-0-0_114077_2012-01-11_final
2012-01-11 11:40:15	ga_ls7e_ard_3-0-0_114078_2012-01-11_final
2012-01-11 11:40:39	ga_ls7e_ard_3-0-0_114079_2012-01-11_final
2012-01-11 11:41:03	ga_ls7e_ard_3-0-0_114080_2012-01-11_final
2012-01-11 11:41:27	ga_ls7e_ard_3-0-0_114081_2012-01-11_final
2012-01-13 11:30:17	ga_ls7e_ard_3-1-0_112084_2012-01-13_final
2012-01-18 11:44:49	ga_ls7e_ard_3-0-0_115074_2012-01-18_final
2012-01-18 11:45:13	ga_ls7e_ard_3-0-0_115075_2012-01-18_final
2012-01-18 11:45:37	ga_ls7e_ard_3-0-0_115076_2012-01-18_final
2012-01-18 11:46:01	ga_ls7e_ard_3-1-0_115077_2012-01-18_final
2012-03-22 11:44:56	ga_ls7e_ard_3-0-0_115074_2012-03-22_final
2012-03-22 11:45:20	ga_ls7e_ard_3-0-0_115075_2012-03-22_final
2012-03-22 11:45:44	ga_ls7e_ard_3-0-0_115076_2012-03-22_final
2012-03-22 11:46:08	ga_ls7e_ard_3-0-0_115077_2012-03-22_final
2012-03-22 11:46:32	ga_ls7e_ard_3-0-0_115078_2012-03-22_final
2012-03-24 11:35:22	ga_ls7e_ard_3-0-0_113081_2012-03-24_final
2012-03-24 11:35:46	ga_ls7e_ard_3-0-0_113082_2012-03-24_final
2012-03-24 11:36:10	ga_ls7e_ard_3-0-0_113083_2012-03-24_final
2012-03-24 11:36:34	ga_ls7e_ard_3-0-0_113084_2012-03-24_final
2012-03-31 11:39:32	ga_ls7e_ard_3-0-0_114076_2012-03-31_final
2012-03-31 11:39:56	ga_ls7e_ard_3-0-0_114077_2012-03-31_final
2012-03-31 11:40:20	ga_ls7e_ard_3-0-0_114078_2012-03-31_final
2012-03-31 11:40:44	ga_ls7e_ard_3-0-0_114079_2012-03-31_final
2012-03-31 11:41:08	ga_ls7e_ard_3-0-0_114080_2012-03-31_final
2012-03-31 11:41:32	ga_ls7e_ard_3-0-0_114081_2012-03-31_final
2012-04-02 11:30:22	ga_ls7e_ard_3-0-0_112084_2012-04-02_final
2012-04-16 11:39:53	ga_ls7e_ard_3-0-0_114077_2012-04-16_final
2012-04-16 11:40:17	ga_ls7e_ard_3-0-0_114078_2012-04-16_final
2012-04-16 11:40:41	ga_ls7e_ard_3-0-0_114079_2012-04-16_final
2012-04-16 11:41:05	ga_ls7e_ard_3-0-0_114080_2012-04-16_final
2012-04-18 11:30:20	ga_ls7e_ard_3-0-0_112084_2012-04-18_final
2016-06-07 11:44:10	ga_ls7e_ard_3-0-0_113082_2016-06-07_final
2016-06-07 11:44:34	ga_ls7e_ard_3-0-0_113083_2016-06-07_final
2016-06-14 11:47:58	ga_ls7e_ard_3-0-0_114076_2016-06-14_final
2016-06-14 11:48:22	ga_ls7e_ard_3-1-0_114077_2016-06-14_final
2016-06-14 11:48:46	ga_ls7e_ard_3-0-0_114078_2016-06-14_final
2016-06-14 11:49:10	ga_ls7e_ard_3-0-0_114079_2016-06-14_final
2016-06-14 11:49:34	ga_ls7e_ard_3-0-0_114080_2016-06-14_final
2016-06-14 11:49:58	ga_ls7e_ard_3-0-0_114081_2016-06-14_final
2016-06-16 11:38:49	ga_ls7e_ard_3-0-0_112084_2016-06-16_final
2018-11-18 11:47:15	ga_ls7e_ard_3-0-0_115074_2018-11-18_final
2018-11-18 11:47:39	ga_ls7e_ard_3-0-0_115075_2018-11-18_final
2018-11-18 11:48:03	ga_ls7e_ard_3-0-0_115076_2018-11-18_final
2018-11-18 11:48:26	ga_ls7e_ard_3-0-0_115077_2018-11-18_final
2018-11-18 11:48:50	ga_ls7e_ard_3-0-0_115078_2018-11-18_final
2018-12-29 11:41:09	ga_ls7e_ard_3-0-0_114077_2018-12-29_final
2018-12-29 11:41:32	ga_ls7e_ard_3-0-0_114078_2018-12-29_final
2018-12-29 11:41:56	ga_ls7e_ard_3-0-0_114079_2018-12-29_final
2018-12-29 11:42:20	ga_ls7e_ard_3-0-0_114080_2018-12-29_final
2018-12-29 11:42:44	ga_ls7e_ard_3-0-0_114081_2018-12-29_final
2019-01-30 11:40:07	ga_ls7e_ard_3-0-0_114077_2019-01-30_final
2019-01-30 11:40:31	ga_ls7e_ard_3-0-0_114078_2019-01-30_final
2019-01-30 11:40:55	ga_ls7e_ard_3-0-0_114079_2019-01-30_final
2019-01-30 11:41:19	ga_ls7e_ard_3-0-0_114080_2019-01-30_final
2019-01-30 11:41:43	ga_ls7e_ard_3-0-0_114081_2019-01-30_final
2019-02-08 11:35:17	ga_ls7e_ard_3-0-0_113081_2019-02-08_final
2019-02-08 11:35:41	ga_ls7e_ard_3-0-0_113082_2019-02-08_final
2019-02-08 11:36:05	ga_ls7e_ard_3-0-0_113083_2019-02-08_final
2019-02-08 11:36:29	ga_ls7e_ard_3-0-0_113084_2019-02-08_final
2019-02-15 11:39:39	ga_ls7e_ard_3-0-0_114077_2019-02-15_final
2019-02-15 11:40:03	ga_ls7e_ard_3-0-0_114078_2019-02-15_final
2019-02-15 11:40:27	ga_ls7e_ard_3-0-0_114079_2019-02-15_final
2019-02-15 11:40:51	ga_ls7e_ard_3-0-0_114080_2019-02-15_final
2019-02-15 11:41:15	ga_ls7e_ard_3-0-0_114081_2019-02-15_final
2019-02-22 11:44:26	ga_ls7e_ard_3-1-0_115074_2019-02-22_final
2019-02-22 11:44:50	ga_ls7e_ard_3-1-0_115075_2019-02-22_final
2019-02-22 11:45:13	ga_ls7e_ard_3-1-0_115076_2019-02-22_final
2019-02-22 11:45:37	ga_ls7e_ard_3-1-0_115077_2019-02-22_final
2019-02-22 11:46:01	ga_ls7e_ard_3-1-0_115078_2019-02-22_final
2019-03-03 11:39:34	ga_ls7e_ard_3-1-0_114078_2019-03-03_final
2019-03-03 11:39:58	ga_ls7e_ard_3-1-0_114079_2019-03-03_final
2019-03-03 11:40:22	ga_ls7e_ard_3-1-0_114080_2019-03-03_final
2019-03-03 11:40:45	ga_ls7e_ard_3-1-0_114081_2019-03-03_final
2019-03-10 11:43:55	ga_ls7e_ard_3-1-0_115074_2019-03-10_final
2019-03-10 11:44:19	ga_ls7e_ard_3-1-0_115075_2019-03-10_final
2019-03-10 11:44:43	ga_ls7e_ard_3-1-0_115076_2019-03-10_final
2019-03-10 11:45:07	ga_ls7e_ard_3-1-0_115077_2019-03-10_final
2019-03-10 11:45:31	ga_ls7e_ard_3-1-0_115078_2019-03-10_final
2019-03-12 11:34:17	ga_ls7e_ard_3-1-0_113081_2019-03-12_final
2019-03-12 11:34:41	ga_ls7e_ard_3-1-0_113082_2019-03-12_final
2019-03-12 11:35:05	ga_ls7e_ard_3-1-0_113083_2019-03-12_final
2019-03-12 11:35:29	ga_ls7e_ard_3-1-0_113084_2019-03-12_final
2019-03-26 11:43:47	ga_ls7e_ard_3-1-0_115075_2019-03-26_final
2019-03-26 11:44:11	ga_ls7e_ard_3-1-0_115076_2019-03-26_final
2019-03-26 11:44:35	ga_ls7e_ard_3-1-0_115077_2019-03-26_final
2019-03-26 11:44:59	ga_ls7e_ard_3-1-0_115078_2019-03-26_final
2019-03-28 11:33:45	ga_ls7e_ard_3-1-0_113081_2019-03-28_final
2019-03-28 11:34:09	ga_ls7e_ard_3-1-0_113082_2019-03-28_final
2019-03-28 11:34:33	ga_ls7e_ard_3-1-0_113083_2019-03-28_final
2019-04-29 11:33:24	ga_ls7e_ard_3-0-0_113083_2019-04-29_final
2019-05-13 11:41:38	ga_ls7e_ard_3-0-0_115074_2019-05-13_final
2019-05-13 11:42:02	ga_ls7e_ard_3-0-0_115075_2019-05-13_final
2019-05-13 11:42:26	ga_ls7e_ard_3-0-0_115076_2019-05-13_final
2019-05-13 11:42:50	ga_ls7e_ard_3-1-0_115077_2019-05-13_final
2019-05-13 11:43:14	ga_ls7e_ard_3-0-0_115078_2019-05-13_final
2019-05-31 11:31:24	ga_ls7e_ard_3-0-0_113081_2019-05-31_final
2019-05-31 11:31:48	ga_ls7e_ard_3-0-0_113082_2019-05-31_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