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
1999-09-27 11:45:00	ga_ls7e_ard_3-0-0_115077_1999-09-27_final
2003-01-09 11:40:20	ga_ls7e_ard_3-1-0_115077_2003-01-09_final
2004-03-16 11:40:04	ga_ls7e_ard_3-0-0_115074_2004-03-16_final
2004-04-17 11:39:57	ga_ls7e_ard_3-0-0_115074_2004-04-17_final
2004-10-26 11:40:23	ga_ls7e_ard_3-0-0_115076_2004-10-26_final
2005-09-27 11:41:28	ga_ls7e_ard_3-0-0_115078_2005-09-27_final
2006-01-17 11:41:30	ga_ls7e_ard_3-0-0_115076_2006-01-17_final
2009-02-10 11:41:27	ga_ls7e_ard_3-0-0_115076_2009-02-10_final
2009-05-17 11:43:14	ga_ls7e_ard_3-0-0_115079_2009-05-17_final
2009-06-18 11:41:37	ga_ls7e_ard_3-0-0_115075_2009-06-18_final
2010-07-23 11:44:14	ga_ls7e_ard_3-1-0_115077_2010-07-23_final
2011-01-31 11:45:47	ga_ls7e_ard_3-0-0_115078_2011-01-31_final
2011-03-04 11:44:21	ga_ls7e_ard_3-0-0_115074_2011-03-04_final
2013-04-26 11:47:55	ga_ls7e_ard_3-0-0_115077_2013-04-26_final
2014-07-18 11:49:32	ga_ls7e_ard_3-1-0_115077_2014-07-18_final
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
2015-06-03 11:50:21	ga_ls7e_ard_3-0-0_115074_2015-06-03_final
2016-12-30 11:54:20	ga_ls7e_ard_3-1-0_115077_2016-12-30_final
2019-06-14 11:42:27	ga_ls7e_ard_3-0-0_115079_2019-06-14_final
2020-11-26 10:03:33	ga_ls7e_ard_3-1-0_104073_2020-11-26_final
2020-12-17 10:22:31	ga_ls7e_ard_3-1-0_107078_2020-12-17_final
2020-12-25 09:30:29	ga_ls7e_ard_3-1-0_099073_2020-12-25_final
2020-12-25 09:31:41	ga_ls7e_ard_3-1-0_099076_2020-12-25_final
2021-01-09 10:25:04	ga_ls7e_ard_3-1-0_108073_2021-01-09_final
2021-01-18 10:18:39	ga_ls7e_ard_3-1-0_107074_2021-01-18_final
2021-01-20 08:32:04	ga_ls7e_ard_3-2-0_089086_2021-01-19_final
2021-02-01 08:56:19	ga_ls7e_ard_3-2-0_093087_2021-01-31_final
2021-02-03 08:40:13	ga_ls7e_ard_3-2-0_091078_2021-02-02_final
2021-02-08 10:34:52	ga_ls7e_ard_3-2-0_110072_2021-02-08_final
2021-02-09 09:43:34	ga_ls7e_ard_3-2-0_101083_2021-02-09_final
2021-02-20 09:20:36	ga_ls7e_ard_3-2-0_098074_2021-02-19_final
2021-02-28 10:10:13	ga_ls7e_ard_3-2-0_106076_2021-02-28_final
2021-03-02 09:56:55	ga_ls7e_ard_3-2-0_104074_2021-03-02_final
2021-03-08 09:21:21	ga_ls7e_ard_3-2-0_098079_2021-03-07_final
2021-03-25 10:00:52	ga_ls7e_ard_3-2-0_105073_2021-03-25_final
2021-03-30 08:41:19	ga_ls7e_ard_3-2-0_092076_2021-03-29_final
2021-04-07 09:31:42	ga_ls7e_ard_3-2-0_100080_2021-04-07_final
2021-04-26 08:21:19	ga_ls7e_ard_3-2-0_089078_2021-04-25_final
2021-05-01 08:43:50	ga_ls7e_ard_3-2-0_092089_2021-04-30_final
2021-05-19 10:05:15	ga_ls7e_ard_3-2-0_106080_2021-05-19_final
2021-05-20 09:09:08	ga_ls7e_ard_3-2-0_097079_2021-05-19_final
2021-05-20 10:50:01	ga_ls7e_ard_3-2-0_113084_2021-05-20_final
2021-05-24 10:21:22	ga_ls7e_ard_3-2-0_109075_2021-05-24_final
2021-06-11 08:29:25	ga_ls7e_ard_3-2-0_091077_2021-06-10_final
2021-06-20 08:24:30	ga_ls7e_ard_3-2-0_090082_2021-06-19_final
2021-06-27 08:30:30	ga_ls7e_ard_3-2-0_091083_2021-06-26_final
2021-06-27 08:32:30	ga_ls7e_ard_3-2-0_091088_2021-06-26_final
2021-06-30 08:56:21	ga_ls7e_ard_3-2-0_096071_2021-06-29_final
2021-07-02 08:47:25	ga_ls7e_ard_3-2-0_094080_2021-07-01_final
2021-07-03 09:31:00	ga_ls7e_ard_3-2-0_101081_2021-07-03_final
2021-07-04 08:33:18	ga_ls7e_ard_3-2-0_092076_2021-07-03_final
2021-07-20 10:08:01	ga_ls7e_ard_3-2-0_108069_2021-07-20_final
2021-07-23 10:43:03	ga_ls7e_ard_3-2-0_113080_2021-07-23_final
2021-07-25 08:48:50	ga_ls7e_ard_3-2-0_095073_2021-07-24_final
2021-08-15 09:09:54	ga_ls7e_ard_3-2-0_098084_2021-08-14_final
2021-08-19 10:23:19	ga_ls7e_ard_3-2-0_110083_2021-08-19_final
2021-08-26 08:49:13	ga_ls7e_ard_3-2-0_095081_2021-08-25_final
2021-08-28 08:34:42	ga_ls7e_ard_3-2-0_093076_2021-08-27_final
2021-08-30 10:03:26	ga_ls7e_ard_3-2-0_107082_2021-08-30_final
2021-08-31 10:44:37	ga_ls7e_ard_3-2-0_114077_2021-08-31_final
2021-09-22 10:04:47	ga_ls7e_ard_3-2-0_108075_2021-09-22_final
2021-09-24 09:52:39	ga_ls7e_ard_3-2-0_106076_2021-09-24_final
2021-09-26 09:41:42	ga_ls7e_ard_3-2-0_104080_2021-09-26_final
2021-09-29 10:08:20	ga_ls7e_ard_3-2-0_109070_2021-09-29_final
2021-09-29 10:09:56	ga_ls7e_ard_3-2-0_109074_2021-09-29_final
2021-09-29 10:10:20	ga_ls7e_ard_3-2-0_109075_2021-09-29_final
2021-10-01 08:23:19	ga_ls7e_ard_3-2-0_091086_2021-09-30_final
2021-10-09 10:46:33	ga_ls7e_ard_3-2-0_115075_2021-10-09_final
2021-10-14 09:24:58	ga_ls7e_ard_3-2-0_102073_2021-10-13_final
2021-10-18 09:02:41	ga_ls7e_ard_3-2-0_098080_2021-10-17_final
2021-10-29 10:19:13	ga_ls7e_ard_3-2-0_111073_2021-10-29_final
2021-10-30 09:23:54	ga_ls7e_ard_3-2-0_102074_2021-10-29_final
2021-11-03 08:57:13	ga_ls7e_ard_3-2-0_098070_2021-11-02_final
2021-11-09 08:23:09	ga_ls7e_ard_3-2-0_092079_2021-11-08_final
2021-11-09 09:58:03	ga_ls7e_ard_3-2-0_108069_2021-11-09_final
2021-11-11 08:12:36	ga_ls7e_ard_3-2-0_090084_2021-11-10_final
2021-11-30 10:16:33	ga_ls7e_ard_3-2-1_111074_2021-11-30_final
2021-12-05 10:35:26	ga_ls7e_ard_3-2-1_114076_2021-12-05_final
2021-12-14 08:49:55	ga_ls7e_ard_3-2-1_097077_2021-12-13_final
2021-12-25 10:07:59	ga_ls7e_ard_3-2-1_110074_2021-12-25_final
2021-12-29 09:43:39	ga_ls7e_ard_3-2-1_106076_2021-12-29_final
2021-12-30 08:46:20	ga_ls7e_ard_3-2-1_097072_2021-12-29_final
2022-01-12 09:52:15	ga_ls7e_ard_3-2-1_108070_2022-01-12_final
2022-01-13 10:38:13	ga_ls7e_ard_3-2-1_115077_2022-01-13_final
2022-01-29 10:37:52	ga_ls7e_ard_3-2-1_115080_2022-01-29_final
2022-01-30 08:07:16	ga_ls7e_ard_3-2-1_090090_2022-01-29_final
2022-02-01 09:25:36	ga_ls7e_ard_3-2-1_104070_2022-01-31_final
2022-02-11 08:23:58	ga_ls7e_ard_3-2-1_094073_2022-02-10_final
2022-02-11 10:02:27	ga_ls7e_ard_3-2-1_110072_2022-02-11_final
2022-02-14 10:35:50	ga_ls7e_ard_3-2-1_115079_2022-02-14_final
2022-02-15 09:39:42	ga_ls7e_ard_3-2-1_106078_2022-02-15_final
2022-02-16 08:42:23	ga_ls7e_ard_3-2-1_097074_2022-02-15_final
2022-02-23 08:48:42	ga_ls7e_ard_3-2-1_098076_2022-02-22_final
2022-03-04 10:22:56	ga_ls7e_ard_3-2-1_113082_2022-03-04_final
2022-03-10 08:09:11	ga_ls7e_ard_3-2-1_091089_2022-03-09_final
2022-03-11 08:45:09	ga_ls7e_ard_3-2-1_098071_2022-03-10_final
2022-03-11 08:47:09	ga_ls7e_ard_3-2-1_098076_2022-03-10_final
2022-03-26 09:40:54	ga_ls7e_ard_3-2-1_107075_2022-03-26_final
2022-04-03 08:51:05	ga_ls7e_ard_3-2-1_099076_2022-04-02_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