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
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 11:35:41	ga_ls7e_ard_3-0-0_112084_2015-05-13_final
2017-12-10 11:47:50	ga_ls7e_ard_3-0-0_114076_2017-12-10_final
2017-12-10 11:48:14	ga_ls7e_ard_3-0-0_114077_2017-12-10_final
2017-12-10 11:48:38	ga_ls7e_ard_3-0-0_114078_2017-12-10_final
2017-12-10 11:49:02	ga_ls7e_ard_3-0-0_114079_2017-12-10_final
2017-12-10 11:49:26	ga_ls7e_ard_3-0-0_114080_2017-12-10_final
2017-12-12 11:38:39	ga_ls7e_ard_3-1-0_112084_2017-12-12_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
2018-10-26 11:42:23	ga_ls7e_ard_3-0-0_114076_2018-10-26_final
2018-10-26 11:42:47	ga_ls7e_ard_3-0-0_114077_2018-10-26_final
2018-10-26 11:43:11	ga_ls7e_ard_3-0-0_114078_2018-10-26_final
2018-10-26 11:43:35	ga_ls7e_ard_3-0-0_114079_2018-10-26_final
2018-10-26 11:43:59	ga_ls7e_ard_3-0-0_114080_2018-10-26_final
2018-10-26 11:44:23	ga_ls7e_ard_3-0-0_114081_2018-10-26_final
2018-10-28 11:33:10	ga_ls7e_ard_3-1-0_112084_2018-10-28_final
2018-11-20 11:37:14	ga_ls7e_ard_3-0-0_113080_2018-11-20_final
2018-11-20 11:37:38	ga_ls7e_ard_3-0-0_113081_2018-11-20_final
2018-11-20 11:38:02	ga_ls7e_ard_3-0-0_113082_2018-11-20_final
2018-11-20 11:38:26	ga_ls7e_ard_3-0-0_113083_2018-11-20_final
2018-12-13 11:41:12	ga_ls7e_ard_3-0-0_114076_2018-12-13_final
2018-12-13 11:41:36	ga_ls7e_ard_3-0-0_114077_2018-12-13_final
2018-12-13 11:42:00	ga_ls7e_ard_3-0-0_114078_2018-12-13_final
2018-12-13 11:42:24	ga_ls7e_ard_3-0-0_114079_2018-12-13_final
2018-12-13 11:42:48	ga_ls7e_ard_3-0-0_114080_2018-12-13_final
2018-12-13 11:43:12	ga_ls7e_ard_3-0-0_114081_2018-12-13_final
2019-01-05 11:45:55	ga_ls7e_ard_3-0-0_115074_2019-01-05_final
2019-01-05 11:46:19	ga_ls7e_ard_3-0-0_115075_2019-01-05_final
2019-01-05 11:46:43	ga_ls7e_ard_3-0-0_115076_2019-01-05_final
2019-01-05 11:47:07	ga_ls7e_ard_3-1-0_115077_2019-01-05_final
2019-01-07 11:35:53	ga_ls7e_ard_3-0-0_113080_2019-01-07_final
2019-01-07 11:36:17	ga_ls7e_ard_3-0-0_113081_2019-01-07_final
2019-01-07 11:36:41	ga_ls7e_ard_3-0-0_113082_2019-01-07_final
2019-01-07 11:37:05	ga_ls7e_ard_3-0-0_113083_2019-01-07_final
2019-01-07 11:37:29	ga_ls7e_ard_3-0-0_113084_2019-01-07_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
2019-02-08 11:34:53	ga_ls7e_ard_3-0-0_113080_2019-02-08_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
2019-03-19 11:38:15	ga_ls7e_ard_3-1-0_114076_2019-03-19_final
2019-03-19 11:38:39	ga_ls7e_ard_3-1-0_114077_2019-03-19_final
2019-03-19 11:39:02	ga_ls7e_ard_3-1-0_114078_2019-03-19_final
2019-03-19 11:39:26	ga_ls7e_ard_3-1-0_114079_2019-03-19_final
2019-03-19 11:39:50	ga_ls7e_ard_3-1-0_114080_2019-03-19_final
2019-03-19 11:40:14	ga_ls7e_ard_3-1-0_114081_2019-03-19_final
2019-04-06 11:28:28	ga_ls7e_ard_3-0-0_112084_2019-04-06_final
2019-04-27 11:42:15	ga_ls7e_ard_3-0-0_115074_2019-04-27_final
2019-04-27 11:42:39	ga_ls7e_ard_3-0-0_115075_2019-04-27_final
2019-04-27 11:43:03	ga_ls7e_ard_3-0-0_115076_2019-04-27_final
2019-04-27 11:43:27	ga_ls7e_ard_3-1-0_115077_2019-04-27_final
2019-04-27 11:43:50	ga_ls7e_ard_3-0-0_115078_2019-04-27_final
2019-05-31 11:31:00	ga_ls7e_ard_3-0-0_113080_2019-05-31_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
2019-05-31 11:32:12	ga_ls7e_ard_3-0-0_113083_2019-05-31_final
2021-06-14 10:41:45	ga_ls7e_ard_3-2-0_112084_2021-06-14_final
2021-06-19 10:55:53	ga_ls7e_ard_3-2-0_115074_2021-06-19_final
2021-06-19 10:56:17	ga_ls7e_ard_3-2-0_115075_2021-06-19_final
2021-06-19 10:56:41	ga_ls7e_ard_3-2-0_115076_2021-06-19_final
2021-06-19 10:57:05	ga_ls7e_ard_3-2-0_115077_2021-06-19_final
2021-06-19 10:57:29	ga_ls7e_ard_3-2-0_115078_2021-06-19_final
2021-06-28 10:49:45	ga_ls7e_ard_3-2-0_114076_2021-06-28_final
2021-06-28 10:50:09	ga_ls7e_ard_3-2-0_114077_2021-06-28_final
2021-06-28 10:50:33	ga_ls7e_ard_3-2-0_114078_2021-06-28_final
2021-06-28 10:50:57	ga_ls7e_ard_3-2-0_114079_2021-06-28_final
2021-06-28 10:51:21	ga_ls7e_ard_3-2-0_114080_2021-06-28_final
2021-07-07 10:44:49	ga_ls7e_ard_3-2-0_113081_2021-07-07_final
2021-07-07 10:45:13	ga_ls7e_ard_3-2-0_113082_2021-07-07_final
2021-07-07 10:45:37	ga_ls7e_ard_3-2-0_113083_2021-07-07_final
2021-07-07 10:46:01	ga_ls7e_ard_3-2-0_113084_2021-07-07_final
2021-07-14 10:48:24	ga_ls7e_ard_3-2-0_114076_2021-07-14_final
2021-07-14 10:48:48	ga_ls7e_ard_3-2-0_114077_2021-07-14_final
2021-07-14 10:49:12	ga_ls7e_ard_3-2-0_114078_2021-07-14_final
2021-07-14 10:49:36	ga_ls7e_ard_3-2-0_114079_2021-07-14_final
2021-07-14 10:50:00	ga_ls7e_ard_3-2-0_114080_2021-07-14_final
2021-08-01 10:37:40	ga_ls7e_ard_3-2-0_112084_2021-08-01_final
2021-08-06 10:51:47	ga_ls7e_ard_3-2-0_115074_2021-08-06_final
2021-08-06 10:52:11	ga_ls7e_ard_3-2-0_115075_2021-08-06_final
2021-08-06 10:52:35	ga_ls7e_ard_3-2-0_115076_2021-08-06_final
2021-08-06 10:52:59	ga_ls7e_ard_3-2-0_115077_2021-08-06_final
2021-08-06 10:53:23	ga_ls7e_ard_3-2-0_115078_2021-08-06_final
2021-08-15 10:45:36	ga_ls7e_ard_3-2-0_114076_2021-08-15_final
2021-08-15 10:46:00	ga_ls7e_ard_3-2-0_114077_2021-08-15_final
2021-08-15 10:46:24	ga_ls7e_ard_3-2-0_114078_2021-08-15_final
2021-08-15 10:46:47	ga_ls7e_ard_3-2-0_114079_2021-08-15_final
2021-08-15 10:47:11	ga_ls7e_ard_3-2-0_114080_2021-08-15_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