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
2000-05-08 11:44:10	ga_ls7e_ard_3-1-0_115077_2000-05-08_final
2000-07-11 11:44:18	ga_ls7e_ard_3-0-0_115079_2000-07-11_final
2002-12-08 11:41:03	ga_ls7e_ard_3-0-0_115079_2002-12-08_final
2005-10-13 11:41:05	ga_ls7e_ard_3-0-0_115077_2005-10-13_final
2006-02-02 11:42:48	ga_ls7e_ard_3-0-0_115079_2006-02-02_final
2007-12-06 11:41:52	ga_ls7e_ard_3-0-0_115076_2007-12-06_final
2010-05-20 11:43:42	ga_ls7e_ard_3-0-0_115076_2010-05-20_final
2012-03-06 11:46:54	ga_ls7e_ard_3-0-0_115079_2012-03-06_final
2013-04-26 11:48:43	ga_ls7e_ard_3-0-0_115079_2013-04-26_final
2013-08-16 11:46:54	ga_ls7e_ard_3-0-0_115076_2013-08-16_final
2014-02-24 11:48:19	ga_ls7e_ard_3-0-0_115076_2014-02-24_final
2016-10-11 11:54:45	ga_ls7e_ard_3-0-0_115077_2016-10-11_final
2020-11-23 11:13:20	ga_ls7e_ard_3-1-0_115077_2020-11-23_final
2020-12-09 09:35:17	ga_ls7e_ard_3-1-0_099082_2020-12-09_final
2020-12-17 10:22:07	ga_ls7e_ard_3-1-0_107077_2020-12-17_final
2020-12-19 08:33:55	ga_ls7e_ard_3-1-0_089085_2020-12-18_final
2020-12-25 09:34:05	ga_ls7e_ard_3-1-0_099082_2020-12-25_final
2020-12-30 09:49:53	ga_ls7e_ard_3-1-0_102076_2020-12-30_final
2021-01-05 09:13:11	ga_ls7e_ard_3-1-0_096078_2021-01-04_final
2021-01-06 09:55:35	ga_ls7e_ard_3-1-0_103076_2021-01-06_final
2021-01-07 09:03:53	ga_ls7e_ard_3-1-0_094086_2021-01-06_final
2021-01-13 10:02:04	ga_ls7e_ard_3-1-0_104078_2021-01-13_final
2021-01-14 10:44:28	ga_ls7e_ard_3-1-0_111076_2021-01-14_final
2021-01-16 08:54:16	ga_ls7e_ard_3-1-0_093079_2021-01-15_final
2021-01-19 09:25:45	ga_ls7e_ard_3-1-0_098081_2021-01-18_final
2021-02-01 08:53:55	ga_ls7e_ard_3-2-0_093081_2021-01-31_final
2021-02-11 11:08:20	ga_ls7e_ard_3-2-0_115079_2021-02-11_final
2021-02-20 09:17:48	ga_ls7e_ard_3-2-0_098067_2021-02-19_final
2021-02-26 10:23:56	ga_ls7e_ard_3-2-0_108079_2021-02-26_final
2021-03-01 09:17:19	ga_ls7e_ard_3-2-0_097083_2021-02-28_final
2021-03-24 10:58:34	ga_ls7e_ard_3-2-0_114078_2021-03-24_final
2021-03-27 09:50:44	ga_ls7e_ard_3-2-0_103079_2021-03-27_final
2021-03-28 08:56:14	ga_ls7e_ard_3-2-0_094082_2021-03-27_final
2021-04-06 08:48:55	ga_ls7e_ard_3-2-0_093081_2021-04-05_final
2021-04-07 09:32:30	ga_ls7e_ard_3-2-0_100082_2021-04-07_final
2021-04-16 11:02:27	ga_ls7e_ard_3-2-0_115077_2021-04-16_final
2021-04-23 09:30:45	ga_ls7e_ard_3-2-0_100081_2021-04-23_final
2021-04-26 10:01:23	ga_ls7e_ard_3-2-0_105081_2021-04-26_final
2021-05-01 10:15:31	ga_ls7e_ard_3-2-0_108071_2021-05-01_final
2021-05-07 09:40:20	ga_ls7e_ard_3-2-0_102077_2021-05-07_final
2021-05-11 09:13:41	ga_ls7e_ard_3-2-0_098073_2021-05-10_final
2021-05-12 08:22:46	ga_ls7e_ard_3-2-0_089085_2021-05-11_final
2021-05-15 08:51:49	ga_ls7e_ard_3-2-0_094081_2021-05-14_final
2021-05-17 10:17:22	ga_ls7e_ard_3-2-0_108079_2021-05-17_final
2021-05-25 09:26:03	ga_ls7e_ard_3-2-0_100076_2021-05-24_final
2021-05-31 10:26:08	ga_ls7e_ard_3-2-0_110073_2021-05-31_final
2021-06-18 10:15:06	ga_ls7e_ard_3-2-0_108080_2021-06-18_final
2021-06-24 09:37:08	ga_ls7e_ard_3-2-0_102079_2021-06-24_final
2021-07-12 09:23:15	ga_ls7e_ard_3-2-0_100079_2021-07-11_final
2021-07-18 08:47:15	ga_ls7e_ard_3-2-0_094083_2021-07-17_final
2021-07-20 10:08:25	ga_ls7e_ard_3-2-0_108070_2021-07-20_final
2021-07-25 10:30:07	ga_ls7e_ard_3-2-0_111079_2021-07-25_final
2021-08-03 10:21:57	ga_ls7e_ard_3-2-0_110076_2021-08-03_final
2021-08-03 10:24:44	ga_ls7e_ard_3-2-0_110083_2021-08-03_final
2021-08-17 10:35:27	ga_ls7e_ard_3-2-0_112082_2021-08-17_final
2021-08-31 10:43:49	ga_ls7e_ard_3-2-0_114075_2021-08-31_final
2021-09-02 10:34:28	ga_ls7e_ard_3-2-0_112083_2021-09-02_final
2021-09-04 10:22:20	ga_ls7e_ard_3-2-0_110084_2021-09-04_final
2021-09-12 09:28:36	ga_ls7e_ard_3-2-0_102075_2021-09-11_final
2021-09-20 08:41:15	ga_ls7e_ard_3-2-0_094082_2021-09-19_final
2021-09-22 08:27:54	ga_ls7e_ard_3-2-0_092080_2021-09-21_final
2021-09-22 10:07:11	ga_ls7e_ard_3-2-0_108081_2021-09-22_final
2021-09-25 09:00:32	ga_ls7e_ard_3-2-0_097085_2021-09-24_final
2021-09-29 10:11:32	ga_ls7e_ard_3-2-0_109078_2021-09-29_final
2021-10-01 09:57:00	ga_ls7e_ard_3-2-0_107073_2021-10-01_final
2021-10-05 09:31:08	ga_ls7e_ard_3-2-0_103071_2021-10-05_final
2021-10-06 10:16:18	ga_ls7e_ard_3-2-0_110076_2021-10-06_final
2021-10-13 10:21:52	ga_ls7e_ard_3-2-0_111076_2021-10-13_final
2021-10-22 10:17:16	ga_ls7e_ard_3-2-0_110082_2021-10-22_final
2021-11-03 09:01:36	ga_ls7e_ard_3-2-0_098081_2021-11-02_final
2021-11-08 09:18:04	ga_ls7e_ard_3-2-0_101077_2021-11-07_final
2021-11-14 10:17:18	ga_ls7e_ard_3-2-1_111072_2021-11-14_final
2021-11-16 10:03:56	ga_ls7e_ard_3-2-1_109070_2021-11-16_final
2021-11-25 10:00:52	ga_ls7e_ard_3-2-1_108080_2021-11-25_final
2021-12-02 08:27:56	ga_ls7e_ard_3-2-1_093081_2021-12-01_final
2021-12-04 08:16:59	ga_ls7e_ard_3-2-1_091085_2021-12-03_final
2021-12-06 09:37:43	ga_ls7e_ard_3-2-1_105071_2021-12-06_final
2021-12-06 09:38:07	ga_ls7e_ard_3-2-1_105072_2021-12-06_final
2021-12-06 09:40:31	ga_ls7e_ard_3-2-1_105078_2021-12-06_final
2021-12-18 10:05:41	ga_ls7e_ard_3-2-1_109082_2021-12-18_final
2021-12-21 08:55:01	ga_ls7e_ard_3-2-1_098076_2021-12-20_final
2021-12-22 09:39:46	ga_ls7e_ard_3-2-1_105080_2021-12-22_final
2021-12-23 08:41:16	ga_ls7e_ard_3-2-1_096073_2021-12-22_final
2021-12-25 08:33:53	ga_ls7e_ard_3-2-1_094086_2021-12-24_final
2022-01-03 10:00:05	ga_ls7e_ard_3-2-1_109072_2022-01-03_final
2022-01-12 09:57:03	ga_ls7e_ard_3-2-1_108082_2022-01-12_final
2022-01-15 08:46:23	ga_ls7e_ard_3-2-1_097076_2022-01-14_final
2022-01-15 08:49:59	ga_ls7e_ard_3-2-1_097085_2022-01-14_final
2022-01-21 08:13:56	ga_ls7e_ard_3-2-1_091089_2022-01-20_final
2022-01-24 08:37:21	ga_ls7e_ard_3-2-1_096071_2022-01-23_final
2022-01-28 09:54:42	ga_ls7e_ard_3-2-1_108080_2022-01-28_final
2022-01-29 08:57:24	ga_ls7e_ard_3-2-1_099076_2022-01-28_final
2022-02-06 09:49:13	ga_ls7e_ard_3-2-1_107084_2022-02-06_final
2022-02-11 08:27:10	ga_ls7e_ard_3-2-1_094081_2022-02-10_final
2022-03-04 08:40:52	ga_ls7e_ard_3-2-1_097074_2022-03-03_final
2022-03-08 08:16:33	ga_ls7e_ard_3-2-1_093076_2022-03-07_final
2022-03-20 08:38:28	ga_ls7e_ard_3-2-1_097072_2022-03-19_final
2022-03-21 09:20:26	ga_ls7e_ard_3-2-1_104069_2022-03-20_final
2022-03-23 09:10:17	ga_ls7e_ard_3-2-1_102075_2022-03-22_final
2022-03-24 09:52:15	ga_ls7e_ard_3-2-1_109072_2022-03-24_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