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
2015-01-26 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
2015-01-26 11:51:25	ga_ls7e_ard_3-0-0_115079_2015-01-26_final
2015-02-13 11:41:05	ga_ls7e_ard_3-0-0_113084_2015-02-13_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
2015-04-16 11:52:01	ga_ls7e_ard_3-0-0_115079_2015-04-16_final
2015-04-18 11:41:40	ga_ls7e_ard_3-0-0_113084_2015-04-18_final
2015-05-20 11:41:54	ga_ls7e_ard_3-0-0_113084_2015-05-20_final
2015-08-06 11:51:25	ga_ls7e_ard_3-0-0_115076_2015-08-06_final
2015-08-06 11:51:49	ga_ls7e_ard_3-1-0_115077_2015-08-06_final
2015-08-06 11:52:13	ga_ls7e_ard_3-0-0_115078_2015-08-06_final
2015-08-06 11:52:37	ga_ls7e_ard_3-0-0_115079_2015-08-06_final
2017-12-01 11:54:06	ga_ls7e_ard_3-0-0_115076_2017-12-01_final
2017-12-01 11:54:30	ga_ls7e_ard_3-1-0_115077_2017-12-01_final
2017-12-01 11:54:54	ga_ls7e_ard_3-0-0_115078_2017-12-01_final
2017-12-01 11:55:18	ga_ls7e_ard_3-0-0_115079_2017-12-01_final
2017-12-10 11:49:26	ga_ls7e_ard_3-0-0_114080_2017-12-10_final
2018-01-18 11:53:32	ga_ls7e_ard_3-0-0_115076_2018-01-18_final
2018-01-18 11:53:56	ga_ls7e_ard_3-1-0_115077_2018-01-18_final
2018-01-18 11:54:19	ga_ls7e_ard_3-0-0_115078_2018-01-18_final
2018-01-18 11:54:43	ga_ls7e_ard_3-0-0_115079_2018-01-18_final
2018-01-20 11:44:20	ga_ls7e_ard_3-0-0_113084_2018-01-20_final
2018-02-12 11:48:58	ga_ls7e_ard_3-0-0_114081_2018-02-12_final
2018-02-28 11:48:48	ga_ls7e_ard_3-0-0_114081_2018-02-28_final
2018-03-23 11:52:42	ga_ls7e_ard_3-0-0_115076_2018-03-23_final
2018-03-23 11:53:06	ga_ls7e_ard_3-1-0_115077_2018-03-23_final
2018-03-23 11:53:30	ga_ls7e_ard_3-0-0_115078_2018-03-23_final
2018-03-23 11:53:54	ga_ls7e_ard_3-0-0_115079_2018-03-23_final
2018-04-24 11:52:12	ga_ls7e_ard_3-0-0_115076_2018-04-24_final
2018-04-24 11:52:35	ga_ls7e_ard_3-0-0_115077_2018-04-24_final
2018-04-24 11:52:59	ga_ls7e_ard_3-0-0_115078_2018-04-24_final
2018-04-24 11:53:23	ga_ls7e_ard_3-0-0_115079_2018-04-24_final
2018-04-26 11:42:59	ga_ls7e_ard_3-0-0_113084_2018-04-26_final
2018-05-19 11:47:35	ga_ls7e_ard_3-0-0_114081_2018-05-19_final
2018-07-13 11:50:46	ga_ls7e_ard_3-0-0_115076_2018-07-13_final
2018-07-13 11:51:10	ga_ls7e_ard_3-0-0_115077_2018-07-13_final
2018-07-13 11:51:34	ga_ls7e_ard_3-0-0_115078_2018-07-13_final
2018-07-29 11:50:29	ga_ls7e_ard_3-0-0_115076_2018-07-29_final
2018-07-29 11:50:53	ga_ls7e_ard_3-0-0_115077_2018-07-29_final
2018-07-29 11:51:17	ga_ls7e_ard_3-0-0_115078_2018-07-29_final
2018-07-29 11:51:41	ga_ls7e_ard_3-0-0_115079_2018-07-29_final
2018-08-14 11:50:12	ga_ls7e_ard_3-0-0_115076_2018-08-14_final
2018-08-14 11:50:36	ga_ls7e_ard_3-1-0_115077_2018-08-14_final
2018-08-16 11:40:59	ga_ls7e_ard_3-0-0_113084_2018-08-16_final
2018-10-17 11:48:45	ga_ls7e_ard_3-0-0_115076_2018-10-17_final
2018-10-17 11:49:09	ga_ls7e_ard_3-0-0_115077_2018-10-17_final
2018-10-17 11:49:33	ga_ls7e_ard_3-0-0_115078_2018-10-17_final
2018-10-17 11:49:57	ga_ls7e_ard_3-0-0_115079_2018-10-17_final
2018-11-27 11:43:38	ga_ls7e_ard_3-0-0_114081_2018-11-27_final
2018-12-20 11:47:11	ga_ls7e_ard_3-0-0_115076_2018-12-20_final
2018-12-20 11:47:35	ga_ls7e_ard_3-1-0_115077_2018-12-20_final
2018-12-20 11:47:59	ga_ls7e_ard_3-0-0_115078_2018-12-20_final
2018-12-20 11:48:23	ga_ls7e_ard_3-0-0_115079_2018-12-20_final
2019-01-14 11:42:15	ga_ls7e_ard_3-0-0_114081_2019-01-14_final
2019-02-06 11:45:42	ga_ls7e_ard_3-0-0_115076_2019-02-06_final
2019-02-06 11:46:06	ga_ls7e_ard_3-1-0_115077_2019-02-06_final
2019-02-06 11:46:30	ga_ls7e_ard_3-0-0_115078_2019-02-06_final
2019-02-06 11:46:54	ga_ls7e_ard_3-0-0_115079_2019-02-06_final
2019-04-20 11:39:07	ga_ls7e_ard_3-0-0_114081_2019-04-20_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
2019-05-13 11:43:38	ga_ls7e_ard_3-0-0_115079_2019-05-13_final
2019-05-15 11:33:11	ga_ls7e_ard_3-0-0_113084_2019-05-15_final
2019-05-22 11:37:53	ga_ls7e_ard_3-0-0_114081_2019-05-22_final
2021-09-23 10:49:33	ga_ls7e_ard_3-2-0_115079_2021-09-23_final
2021-11-03 10:40:29	ga_ls7e_ard_3-2-0_114081_2021-11-03_final
2021-11-10 10:44:24	ga_ls7e_ard_3-2-0_115077_2021-11-10_final
2021-11-10 10:44:48	ga_ls7e_ard_3-2-0_115078_2021-11-10_final
2021-11-10 10:45:12	ga_ls7e_ard_3-2-0_115079_2021-11-10_final
2021-12-05 10:37:25	ga_ls7e_ard_3-2-1_114081_2021-12-05_final
2021-12-12 10:41:20	ga_ls7e_ard_3-2-1_115077_2021-12-12_final
2021-12-12 10:41:44	ga_ls7e_ard_3-2-1_115078_2021-12-12_final
2021-12-12 10:42:08	ga_ls7e_ard_3-2-1_115079_2021-12-12_final
2022-01-13 10:38:13	ga_ls7e_ard_3-2-1_115077_2022-01-13_final
2022-01-13 10:38:37	ga_ls7e_ard_3-2-1_115078_2022-01-13_final
2022-01-13 10:39:01	ga_ls7e_ard_3-2-1_115079_2022-01-13_final
2022-01-13 10:39:25	ga_ls7e_ard_3-2-1_115080_2022-01-13_final
2022-01-22 10:32:46	ga_ls7e_ard_3-2-1_114081_2022-01-22_final
2022-02-07 10:31:11	ga_ls7e_ard_3-2-1_114081_2022-02-07_final
2022-02-14 10:35:02	ga_ls7e_ard_3-2-1_115077_2022-02-14_final
2022-02-14 10:35:26	ga_ls7e_ard_3-2-1_115078_2022-02-14_final
2022-02-14 10:35:50	ga_ls7e_ard_3-2-1_115079_2022-02-14_final
2022-02-14 10:36:14	ga_ls7e_ard_3-2-1_115080_2022-02-14_final
2022-02-23 10:29:35	ga_ls7e_ard_3-2-1_114081_2022-02-23_final
2022-03-02 10:33:30	ga_ls7e_ard_3-2-1_115077_2022-03-02_final
2022-03-02 10:33:53	ga_ls7e_ard_3-2-1_115078_2022-03-02_final
2022-03-02 10:34:17	ga_ls7e_ard_3-2-1_115079_2022-03-02_final
2022-03-02 10:34:41	ga_ls7e_ard_3-2-1_115080_2022-03-02_final
2022-03-18 10:31:53	ga_ls7e_ard_3-2-1_115077_2022-03-18_final
2022-03-18 10:32:17	ga_ls7e_ard_3-2-1_115078_2022-03-18_final
2022-03-18 10:32:41	ga_ls7e_ard_3-2-1_115079_2022-03-18_final
2022-03-18 10:33:05	ga_ls7e_ard_3-2-1_115080_2022-03-18_final
2022-03-27 10:26:28	ga_ls7e_ard_3-2-1_114081_2022-03-27_final
2022-04-03 10:29:58	ga_ls7e_ard_3-2-1_115076_2022-04-03_final
2022-04-03 10:30:22	ga_ls7e_ard_3-2-1_115077_2022-04-03_final
2022-04-03 10:30:46	ga_ls7e_ard_3-2-1_115078_2022-04-03_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