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
2005-07-24 10:59:45	ga_ls7e_ard_3-0-0_108081_2005-07-24_final
2005-07-24 11:00:09	ga_ls7e_ard_3-1-0_108082_2005-07-24_final
2005-07-24 11:00:33	ga_ls7e_ard_3-0-0_108083_2005-07-24_final
2005-10-12 10:59:24	ga_ls7e_ard_3-0-0_108081_2005-10-12_final
2005-10-12 10:59:48	ga_ls7e_ard_3-0-0_108082_2005-10-12_final
2005-10-12 11:00:12	ga_ls7e_ard_3-0-0_108083_2005-10-12_final
2005-10-12 11:00:36	ga_ls7e_ard_3-0-0_108084_2005-10-12_final
2017-12-05 11:27:45	ga_ls7e_ard_3-0-0_111072_2017-12-05_final
2017-12-05 11:28:09	ga_ls7e_ard_3-0-0_111073_2017-12-05_final
2017-12-07 11:17:22	ga_ls7e_ard_3-0-0_109077_2017-12-07_final
2017-12-07 11:17:46	ga_ls7e_ard_3-0-0_109078_2017-12-07_final
2017-12-07 11:18:10	ga_ls7e_ard_3-0-0_109079_2017-12-07_final
2017-12-07 11:18:34	ga_ls7e_ard_3-0-0_109080_2017-12-07_final
2017-12-07 11:18:58	ga_ls7e_ard_3-1-0_109081_2017-12-07_final
2017-12-07 11:19:22	ga_ls7e_ard_3-0-0_109082_2017-12-07_final
2018-03-29 11:15:56	ga_ls7e_ard_3-0-0_109077_2018-03-29_final
2018-03-29 11:16:20	ga_ls7e_ard_3-0-0_109078_2018-03-29_final
2018-03-29 11:16:44	ga_ls7e_ard_3-0-0_109079_2018-03-29_final
2018-03-29 11:17:08	ga_ls7e_ard_3-0-0_109080_2018-03-29_final
2018-03-29 11:17:32	ga_ls7e_ard_3-1-0_109081_2018-03-29_final
2018-03-29 11:17:56	ga_ls7e_ard_3-0-0_109082_2018-03-29_final
2018-08-02 11:22:06	ga_ls7e_ard_3-0-0_111067_2018-08-02_final
2018-08-02 11:22:30	ga_ls7e_ard_3-0-0_111068_2018-08-02_final
2018-08-02 11:23:42	ga_ls7e_ard_3-0-0_111071_2018-08-02_final
2018-08-02 11:24:06	ga_ls7e_ard_3-0-0_111072_2018-08-02_final
2018-08-02 11:24:30	ga_ls7e_ard_3-0-0_111073_2018-08-02_final
2018-08-02 11:24:54	ga_ls7e_ard_3-0-0_111074_2018-08-02_final
2018-09-03 11:21:29	ga_ls7e_ard_3-0-0_111067_2018-09-03_final
2018-09-03 11:21:53	ga_ls7e_ard_3-0-0_111068_2018-09-03_final
2018-09-03 11:23:04	ga_ls7e_ard_3-0-0_111071_2018-09-03_final
2018-09-03 11:23:28	ga_ls7e_ard_3-0-0_111072_2018-09-03_final
2018-09-03 11:23:52	ga_ls7e_ard_3-0-0_111073_2018-09-03_final
2018-09-03 11:24:16	ga_ls7e_ard_3-0-0_111074_2018-09-03_final
2018-09-05 11:13:04	ga_ls7e_ard_3-0-0_109077_2018-09-05_final
2018-09-05 11:13:28	ga_ls7e_ard_3-0-0_109078_2018-09-05_final
2018-09-05 11:13:52	ga_ls7e_ard_3-0-0_109079_2018-09-05_final
2018-09-05 11:14:16	ga_ls7e_ard_3-0-0_109080_2018-09-05_final
2018-09-05 11:14:40	ga_ls7e_ard_3-1-0_109081_2018-09-05_final
2018-09-05 11:15:04	ga_ls7e_ard_3-0-0_109082_2018-09-05_final
2018-09-05 11:15:27	ga_ls7e_ard_3-0-0_109083_2018-09-05_final
2020-11-27 10:44:20	ga_ls7e_ard_3-1-0_111067_2020-11-27_final
2020-11-27 10:44:44	ga_ls7e_ard_3-1-0_111068_2020-11-27_final
2020-11-27 10:47:08	ga_ls7e_ard_3-1-0_111074_2020-11-27_final
2020-11-29 10:35:50	ga_ls7e_ard_3-1-0_109077_2020-11-29_final
2020-11-29 10:36:13	ga_ls7e_ard_3-1-0_109078_2020-11-29_final
2020-11-29 10:36:37	ga_ls7e_ard_3-1-0_109079_2020-11-29_final
2020-11-29 10:37:01	ga_ls7e_ard_3-1-0_109080_2020-11-29_final
2020-11-29 10:37:25	ga_ls7e_ard_3-1-0_109081_2020-11-29_final
2020-11-29 10:37:49	ga_ls7e_ard_3-1-0_109082_2020-11-29_final
2020-11-29 10:38:13	ga_ls7e_ard_3-1-0_109083_2020-11-29_final
2020-12-06 10:39:30	ga_ls7e_ard_3-1-0_110072_2020-12-06_final
2020-12-06 10:39:54	ga_ls7e_ard_3-1-0_110073_2020-12-06_final
2020-12-06 10:41:05	ga_ls7e_ard_3-1-0_110076_2020-12-06_final
2020-12-06 10:41:29	ga_ls7e_ard_3-1-0_110077_2020-12-06_final
2020-12-06 10:41:53	ga_ls7e_ard_3-1-0_110078_2020-12-06_final
2020-12-08 10:30:35	ga_ls7e_ard_3-1-0_108081_2020-12-08_final
2020-12-08 10:30:59	ga_ls7e_ard_3-1-0_108082_2020-12-08_final
2020-12-08 10:31:23	ga_ls7e_ard_3-1-0_108083_2020-12-08_final
2020-12-08 10:31:46	ga_ls7e_ard_3-1-0_108084_2020-12-08_final
2020-12-13 10:43:33	ga_ls7e_ard_3-1-0_111068_2020-12-13_final
2020-12-13 10:44:45	ga_ls7e_ard_3-1-0_111071_2020-12-13_final
2020-12-13 10:45:09	ga_ls7e_ard_3-1-0_111072_2020-12-13_final
2020-12-13 10:45:33	ga_ls7e_ard_3-1-0_111073_2020-12-13_final
2020-12-13 10:45:57	ga_ls7e_ard_3-1-0_111074_2020-12-13_final
2020-12-15 10:34:38	ga_ls7e_ard_3-1-0_109077_2020-12-15_final
2020-12-15 10:35:02	ga_ls7e_ard_3-1-0_109078_2020-12-15_final
2020-12-15 10:35:26	ga_ls7e_ard_3-1-0_109079_2020-12-15_final
2020-12-15 10:35:50	ga_ls7e_ard_3-1-0_109080_2020-12-15_final
2020-12-15 10:36:14	ga_ls7e_ard_3-1-0_109081_2020-12-15_final
2020-12-15 10:36:38	ga_ls7e_ard_3-1-0_109082_2020-12-15_final
2020-12-15 10:37:02	ga_ls7e_ard_3-1-0_109083_2020-12-15_final
2020-12-20 10:48:48	ga_ls7e_ard_3-1-0_112067_2020-12-20_final
2021-01-16 10:32:45	ga_ls7e_ard_3-1-0_109078_2021-01-16_final
2021-01-16 10:33:09	ga_ls7e_ard_3-1-0_109079_2021-01-16_final
2021-01-16 10:33:33	ga_ls7e_ard_3-1-0_109080_2021-01-16_final
2021-01-16 10:33:57	ga_ls7e_ard_3-1-0_109081_2021-01-16_final
2021-01-16 10:34:21	ga_ls7e_ard_3-1-0_109082_2021-01-16_final
2021-01-16 10:34:45	ga_ls7e_ard_3-1-0_109083_2021-01-16_final
2021-01-30 10:42:30	ga_ls7e_ard_3-2-0_111074_2021-01-30_final
2021-02-01 10:31:12	ga_ls7e_ard_3-2-0_109077_2021-02-01_final
2021-02-01 10:31:36	ga_ls7e_ard_3-2-0_109078_2021-02-01_final
2021-02-01 10:32:48	ga_ls7e_ard_3-2-0_109081_2021-02-01_final
2021-02-01 10:33:12	ga_ls7e_ard_3-2-0_109082_2021-02-01_final
2021-02-01 10:33:36	ga_ls7e_ard_3-2-0_109083_2021-02-01_final
2021-02-08 10:34:52	ga_ls7e_ard_3-2-0_110072_2021-02-08_final
2021-02-08 10:35:16	ga_ls7e_ard_3-2-0_110073_2021-02-08_final
2021-02-08 10:35:40	ga_ls7e_ard_3-2-0_110074_2021-02-08_final
2021-02-08 10:36:04	ga_ls7e_ard_3-2-0_110075_2021-02-08_final
2021-02-08 10:36:28	ga_ls7e_ard_3-2-0_110076_2021-02-08_final
2021-02-08 10:36:52	ga_ls7e_ard_3-2-0_110077_2021-02-08_final
2021-02-08 10:37:16	ga_ls7e_ard_3-2-0_110078_2021-02-08_final
2021-02-10 10:26:21	ga_ls7e_ard_3-2-0_108082_2021-02-10_final
2021-02-10 10:26:45	ga_ls7e_ard_3-2-0_108083_2021-02-10_final
2021-02-10 10:27:09	ga_ls7e_ard_3-2-0_108084_2021-02-10_final
2021-02-15 10:38:32	ga_ls7e_ard_3-2-0_111067_2021-02-15_final
2021-02-15 10:38:55	ga_ls7e_ard_3-2-0_111068_2021-02-15_final
2021-08-26 10:22:55	ga_ls7e_ard_3-2-0_111068_2021-08-26_final
2021-08-26 10:24:07	ga_ls7e_ard_3-2-0_111071_2021-08-26_final
2021-08-26 10:24:30	ga_ls7e_ard_3-2-0_111072_2021-08-26_final
2021-08-26 10:24:54	ga_ls7e_ard_3-2-0_111073_2021-08-26_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