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
2000-03-30 11:37:09	ga_ls7e_ard_3-1-0_114074_2000-03-30_final
2000-09-14 10:46:12	ga_ls7e_ard_3-1-0_106075_2000-09-14_final
2003-07-20 11:40:33	ga_ls7e_ard_3-1-0_115077_2003-07-20_final
2003-08-22 10:43:59	ga_ls7e_ard_3-1-0_106075_2003-08-22_final
2004-06-20 11:41:49	ga_ls7e_ard_3-1-0_115079_2004-06-20_final
2004-12-26 11:08:25	ga_ls7e_ard_3-1-0_110072_2004-12-26_final
2004-12-30 10:44:55	ga_ls7e_ard_3-1-0_106075_2004-12-30_final
2005-08-11 10:44:56	ga_ls7e_ard_3-1-0_106075_2005-08-11_final
2006-06-05 09:48:13	ga_ls7e_ard_3-1-0_096086_2006-06-05_final
2007-04-23 11:09:36	ga_ls7e_ard_3-1-0_110072_2007-04-23_final
2007-08-13 09:30:40	ga_ls7e_ard_3-0-0_094073_2007-08-13_final
2007-10-07 09:36:28	ga_ls7e_ard_3-1-0_095073_2007-10-07_final
2009-09-11 10:23:25	ga_ls7e_ard_3-1-0_102081_2009-09-11_final
2009-10-17 09:58:18	ga_ls7e_ard_3-1-0_098080_2009-10-17_final
2009-11-22 09:31:19	ga_ls7e_ard_3-0-0_094073_2009-11-22_final
2010-08-05 09:38:25	ga_ls7e_ard_3-0-0_094087_2010-08-05_final
2012-06-07 09:34:57	ga_ls7e_ard_3-0-0_094073_2012-06-07_final
2013-12-16 10:48:55	ga_ls7e_ard_3-1-0_105083_2013-12-16_final
2014-07-31 09:43:50	ga_ls7e_ard_3-0-0_094087_2014-07-31_final
2015-09-24 09:20:39	ga_ls7e_ard_3-1-0_090085_2015-09-23_final
2017-11-20 10:32:38	ga_ls7e_ard_3-1-0_102073_2017-11-20_final
2018-12-05 09:16:42	ga_ls7e_ard_3-1-0_090085_2018-12-04_final
2019-02-20 10:16:46	ga_ls7e_ard_3-1-0_101071_2019-02-20_final
2019-03-02 09:17:03	ga_ls7e_ard_3-1-0_091077_2019-03-01_final
2019-03-06 10:29:05	ga_ls7e_ard_3-1-0_103072_2019-03-06_final
2019-03-10 10:07:02	ga_ls7e_ard_3-1-0_099079_2019-03-10_final
2019-03-20 09:04:06	ga_ls7e_ard_3-1-0_089077_2019-03-19_final
2019-03-23 09:30:55	ga_ls7e_ard_3-1-0_094067_2019-03-23_final
2019-03-28 09:50:05	ga_ls7e_ard_3-1-0_097069_2019-03-28_final
2019-05-26 09:28:34	ga_ls7e_ard_3-1-0_094067_2019-05-25_final
2019-08-29 10:22:28	ga_ls7e_ard_3-1-0_103072_2019-08-29_final
2019-10-05 09:05:43	ga_ls7e_ard_3-1-0_090085_2019-10-04_final
2019-10-12 09:12:01	ga_ls7e_ard_3-1-0_091086_2019-10-11_final
2019-10-12 09:12:25	ga_ls7e_ard_3-1-0_091087_2019-10-11_final
2019-10-26 10:56:40	ga_ls7e_ard_3-1-0_109071_2019-10-26_final
2019-11-30 09:52:15	ga_ls7e_ard_3-1-0_098084_2019-11-30_final
2019-11-30 11:28:21	ga_ls7e_ard_3-1-0_114077_2019-11-30_final
2019-12-01 08:57:23	ga_ls7e_ard_3-1-0_089086_2019-11-30_final
2019-12-07 09:56:06	ga_ls7e_ard_3-1-0_099079_2019-12-07_final
2019-12-11 11:07:16	ga_ls7e_ard_3-1-0_111072_2019-12-11_final
2019-12-24 09:02:01	ga_ls7e_ard_3-1-0_090085_2019-12-23_final
2019-12-24 10:34:06	ga_ls7e_ard_3-1-0_106068_2019-12-24_final
2020-01-03 11:16:39	ga_ls7e_ard_3-1-0_112083_2020-01-03_final
2020-01-12 09:24:45	ga_ls7e_ard_3-1-0_095067_2020-01-11_final
2020-01-12 11:06:49	ga_ls7e_ard_3-1-0_111075_2020-01-12_final
2020-01-16 09:03:25	ga_ls7e_ard_3-1-0_091076_2020-01-15_final
2020-01-16 10:40:18	ga_ls7e_ard_3-1-0_107071_2020-01-16_final
2020-01-29 10:12:45	ga_ls7e_ard_3-1-0_102081_2020-01-29_final
2020-01-31 09:59:06	ga_ls7e_ard_3-1-0_100078_2020-01-31_final
2020-02-01 10:39:55	ga_ls7e_ard_3-1-0_107072_2020-02-01_final
2020-02-16 09:55:29	ga_ls7e_ard_3-1-0_100071_2020-02-16_final
2020-02-18 09:43:25	ga_ls7e_ard_3-1-0_098072_2020-02-18_final
2020-03-02 09:17:49	ga_ls7e_ard_3-1-0_093087_2020-03-01_final
2020-03-12 11:28:26	ga_ls7e_ard_3-1-0_115075_2020-03-12_final
2020-03-21 09:40:29	ga_ls7e_ard_3-1-0_098069_2020-03-21_final
2020-03-25 10:54:50	ga_ls7e_ard_3-1-0_110070_2020-03-25_final
2020-04-12 09:09:45	ga_ls7e_ard_3-1-0_092088_2020-04-11_final
2020-04-17 09:19:37	ga_ls7e_ard_3-1-0_095067_2020-04-16_final
2020-04-17 09:22:00	ga_ls7e_ard_3-1-0_095073_2020-04-16_final
2020-04-23 10:24:39	ga_ls7e_ard_3-1-0_105076_2020-04-23_final
2020-04-26 10:55:22	ga_ls7e_ard_3-1-0_110076_2020-04-26_final
2020-05-07 09:02:05	ga_ls7e_ard_3-1-0_091088_2020-05-06_final
2020-05-19 09:25:40	ga_ls7e_ard_3-1-0_095087_2020-05-18_final
2020-06-17 10:27:32	ga_ls7e_ard_3-1-0_106076_2020-06-17_final
2020-06-29 10:47:58	ga_ls7e_ard_3-1-0_110067_2020-06-29_final
2020-07-02 09:40:36	ga_ls7e_ard_3-1-0_099069_2020-07-02_final
2020-07-08 10:44:02	ga_ls7e_ard_3-1-0_109074_2020-07-08_final
2020-07-17 10:36:06	ga_ls7e_ard_3-1-0_108071_2020-07-17_final
2020-07-29 09:26:47	ga_ls7e_ard_3-1-0_096085_2020-07-28_final
2021-02-27 09:28:38	ga_ls7e_ard_3-2-0_099080_2021-02-26_final
2021-03-16 10:07:46	ga_ls7e_ard_3-2-0_106073_2021-03-16_final
2021-03-31 09:25:42	ga_ls7e_ard_3-2-0_099079_2021-03-30_final
2021-04-02 09:13:10	ga_ls7e_ard_3-2-0_097079_2021-04-01_final
2021-05-22 08:59:24	ga_ls7e_ard_3-2-0_095086_2021-05-21_final
2021-06-06 09:46:34	ga_ls7e_ard_3-2-0_104068_2021-06-06_final
2021-06-20 08:27:18	ga_ls7e_ard_3-2-0_090089_2021-06-19_final
2021-06-26 09:21:25	ga_ls7e_ard_3-2-0_100071_2021-06-25_final
2021-06-27 10:04:11	ga_ls7e_ard_3-2-0_107070_2021-06-27_final
2021-06-29 09:53:15	ga_ls7e_ard_3-2-0_105074_2021-06-29_final
2021-07-04 08:32:54	ga_ls7e_ard_3-2-0_092075_2021-07-03_final
2021-07-13 10:02:50	ga_ls7e_ard_3-2-0_107070_2021-07-13_final
2021-08-06 09:15:18	ga_ls7e_ard_3-2-0_099080_2021-08-05_final
2021-08-23 09:52:16	ga_ls7e_ard_3-2-0_106068_2021-08-23_final
2021-08-30 08:27:45	ga_ls7e_ard_3-2-0_091090_2021-08-29_final
2021-09-02 08:49:13	ga_ls7e_ard_3-2-0_096067_2021-09-01_final
2021-10-03 09:44:52	ga_ls7e_ard_3-2-0_105074_2021-10-03_final
2021-11-02 09:58:07	ga_ls7e_ard_3-2-0_107083_2021-11-02_final
2021-11-20 09:40:25	ga_ls7e_ard_3-2-1_105074_2021-11-20_final
2021-11-26 10:43:14	ga_ls7e_ard_3-2-1_115078_2021-11-26_final
2021-12-30 10:26:25	ga_ls7e_ard_3-2-1_113075_2021-12-30_final
2022-01-01 08:33:47	ga_ls7e_ard_3-2-1_095072_2021-12-31_final
2022-01-07 09:34:11	ga_ls7e_ard_3-2-1_105070_2022-01-07_final
2022-01-10 10:05:36	ga_ls7e_ard_3-2-1_110072_2022-01-10_final
2022-01-12 09:54:15	ga_ls7e_ard_3-2-1_108075_2022-01-12_final
2022-01-21 08:11:32	ga_ls7e_ard_3-2-1_091083_2022-01-20_final
2022-01-26 10:04:52	ga_ls7e_ard_3-2-1_110074_2022-01-26_final
2022-02-06 08:10:21	ga_ls7e_ard_3-2-1_091084_2022-02-05_final
2022-02-23 08:46:43	ga_ls7e_ard_3-2-1_098071_2022-02-22_final
2022-03-27 08:42:48	ga_ls7e_ard_3-2-1_098069_2022-03-26_final
2022-03-29 08:30:39	ga_ls7e_ard_3-2-1_096070_2022-03-28_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years