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
2000-05-21 09:30:16	ga_ls7e_ard_3-1-0_094067_2000-05-21_final
2003-04-28 09:26:59	ga_ls7e_ard_3-1-0_094067_2003-04-27_final
2003-12-08 11:07:49	ga_ls7e_ard_3-1-0_110072_2003-12-08_final
2004-01-25 11:08:09	ga_ls7e_ard_3-1-0_110072_2004-01-25_final
2004-09-05 11:07:49	ga_ls7e_ard_3-1-0_110072_2004-09-05_final
2005-11-04 09:29:48	ga_ls7e_ard_3-1-0_093088_2005-11-03_final
2007-02-02 11:09:27	ga_ls7e_ard_3-1-0_110072_2007-02-02_final
2009-07-10 09:29:59	ga_ls7e_ard_3-1-0_093086_2009-07-09_final
2009-11-22 09:28:55	ga_ls7e_ard_3-1-0_094067_2009-11-21_final
2011-02-01 09:14:05	ga_ls7e_ard_3-1-0_090085_2011-01-31_final
2011-08-01 09:33:29	ga_ls7e_ard_3-1-0_093087_2011-08-01_final
2011-12-02 09:14:25	ga_ls7e_ard_3-1-0_090085_2011-12-01_final
2013-07-28 09:33:30	ga_ls7e_ard_3-1-0_094067_2013-07-28_final
2013-11-10 09:36:12	ga_ls7e_ard_3-1-0_093087_2013-11-10_final
2014-10-28 09:38:08	ga_ls7e_ard_3-1-0_093087_2014-10-28_final
2014-12-22 11:17:39	ga_ls7e_ard_3-1-0_110072_2014-12-22_final
2018-01-03 09:21:38	ga_ls7e_ard_3-1-0_090082_2018-01-02_final
2019-02-19 09:34:44	ga_ls7e_ard_3-1-0_094074_2019-02-19_final
2019-02-28 11:05:34	ga_ls7e_ard_3-1-0_109070_2019-02-28_final
2019-03-07 11:13:55	ga_ls7e_ard_3-1-0_110076_2019-03-07_final
2019-03-12 09:56:36	ga_ls7e_ard_3-1-0_097084_2019-03-12_final
2019-03-18 10:57:48	ga_ls7e_ard_3-1-0_107083_2019-03-18_final
2019-03-26 10:01:43	ga_ls7e_ard_3-1-0_099067_2019-03-26_final
2019-09-05 10:26:45	ga_ls7e_ard_3-1-0_104068_2019-09-05_final
2019-09-14 10:25:46	ga_ls7e_ard_3-1-0_103082_2019-09-14_final
2019-11-21 09:52:53	ga_ls7e_ard_3-1-0_099069_2019-11-21_final
2019-12-04 11:03:02	ga_ls7e_ard_3-1-0_110076_2019-12-04_final
2019-12-24 08:58:49	ga_ls7e_ard_3-1-0_090077_2019-12-23_final
2019-12-26 10:25:38	ga_ls7e_ard_3-1-0_104078_2019-12-26_final
2019-12-29 10:55:35	ga_ls7e_ard_3-1-0_109076_2019-12-29_final
2020-01-30 10:51:34	ga_ls7e_ard_3-1-0_109070_2020-01-30_final
2020-02-04 11:15:03	ga_ls7e_ard_3-1-0_112083_2020-02-04_final
2020-02-28 10:18:46	ga_ls7e_ard_3-1-0_104069_2020-02-28_final
2020-03-09 10:57:18	ga_ls7e_ard_3-1-0_110074_2020-03-09_final
2020-03-28 09:50:40	ga_ls7e_ard_3-1-0_099080_2020-03-28_final
2020-04-14 08:57:40	ga_ls7e_ard_3-1-0_090089_2020-04-13_final
2020-08-17 09:50:54	ga_ls7e_ard_3-1-0_101071_2020-08-17_final
2020-08-18 10:34:06	ga_ls7e_ard_3-1-0_108071_2020-08-18_final
2020-08-23 10:57:06	ga_ls7e_ard_3-1-0_111083_2020-08-23_final
2020-09-13 09:35:47	ga_ls7e_ard_3-1-0_098084_2020-09-13_final
2020-09-22 11:07:29	ga_ls7e_ard_3-1-0_113083_2020-09-22_final
2020-10-06 11:16:58	ga_ls7e_ard_3-1-0_115078_2020-10-06_final
2020-10-10 10:48:00	ga_ls7e_ard_3-1-0_111068_2020-10-10_final
2020-10-16 10:13:43	ga_ls7e_ard_3-1-0_105076_2020-10-16_final
2020-10-24 09:24:33	ga_ls7e_ard_3-1-0_097078_2020-10-23_final
2020-11-06 10:29:40	ga_ls7e_ard_3-1-0_108073_2020-11-06_final
2020-11-08 10:16:46	ga_ls7e_ard_3-1-0_106072_2020-11-08_final
2020-11-11 09:12:11	ga_ls7e_ard_3-1-0_095081_2020-11-10_final
2020-11-23 09:30:28	ga_ls7e_ard_3-1-0_099067_2020-11-23_final
2020-12-04 10:56:00	ga_ls7e_ard_3-1-0_112082_2020-12-04_final
2020-12-10 10:13:17	ga_ls7e_ard_3-1-0_106069_2020-12-10_final
2020-12-15 10:37:02	ga_ls7e_ard_3-1-0_109083_2020-12-15_final
2020-12-27 09:21:11	ga_ls7e_ard_3-1-0_097081_2020-12-26_final
2021-01-09 10:25:28	ga_ls7e_ard_3-1-0_108074_2021-01-09_final
2021-01-19 11:02:15	ga_ls7e_ard_3-1-0_114075_2021-01-19_final
2021-02-25 09:37:34	ga_ls7e_ard_3-2-0_101071_2021-02-25_final
2021-03-08 09:16:34	ga_ls7e_ard_3-2-0_098067_2021-03-07_final
2021-03-12 10:34:00	ga_ls7e_ard_3-2-0_110076_2021-03-12_final
2021-03-24 09:17:17	ga_ls7e_ard_3-2-0_098072_2021-03-23_final
2021-03-28 10:31:55	ga_ls7e_ard_3-2-0_110074_2021-03-28_final
2021-04-16 09:21:10	ga_ls7e_ard_3-2-0_099071_2021-04-15_final
2021-04-24 08:38:14	ga_ls7e_ard_3-2-0_091089_2021-04-23_final
2021-05-06 10:33:39	ga_ls7e_ard_3-2-0_111071_2021-05-06_final
2021-05-15 10:25:07	ga_ls7e_ard_3-2-0_110067_2021-05-15_final
2021-05-23 09:35:48	ga_ls7e_ard_3-2-0_102069_2021-05-23_final
2021-06-03 09:17:06	ga_ls7e_ard_3-2-0_099071_2021-06-02_final
2021-06-07 10:32:09	ga_ls7e_ard_3-2-0_111074_2021-06-07_final
2021-06-08 09:39:38	ga_ls7e_ard_3-2-0_102082_2021-06-08_final
2021-06-27 08:31:18	ga_ls7e_ard_3-2-0_091085_2021-06-26_final
2021-07-02 10:23:30	ga_ls7e_ard_3-2-0_110073_2021-07-02_final
2021-07-05 10:56:09	ga_ls7e_ard_3-2-0_115078_2021-07-05_final
2021-07-25 08:48:50	ga_ls7e_ard_3-2-0_095073_2021-07-24_final
2021-07-29 08:28:34	ga_ls7e_ard_3-2-0_091085_2021-07-28_final
2021-08-01 08:58:48	ga_ls7e_ard_3-2-0_096084_2021-07-31_final
2021-08-19 08:46:02	ga_ls7e_ard_3-2-0_094087_2021-08-18_final
2021-08-31 09:08:32	ga_ls7e_ard_3-2-0_098084_2021-08-30_final
2021-09-04 08:44:39	ga_ls7e_ard_3-2-0_094087_2021-09-03_final
2021-09-15 09:59:14	ga_ls7e_ard_3-2-0_107075_2021-09-15_final
2021-10-01 10:01:00	ga_ls7e_ard_3-2-0_107083_2021-10-01_final
2021-10-19 09:41:04	ga_ls7e_ard_3-2-0_105068_2021-10-19_final
2021-10-23 09:17:10	ga_ls7e_ard_3-2-0_101071_2021-10-22_final
2021-10-23 09:21:58	ga_ls7e_ard_3-2-0_101083_2021-10-22_final
2021-10-30 09:21:31	ga_ls7e_ard_3-2-0_102068_2021-10-29_final
2021-11-06 09:27:26	ga_ls7e_ard_3-2-0_103069_2021-11-05_final
2021-11-25 09:57:17	ga_ls7e_ard_3-2-1_108071_2021-11-25_final
2021-11-26 08:59:58	ga_ls7e_ard_3-2-1_099067_2021-11-25_final
2021-11-26 10:41:39	ga_ls7e_ard_3-2-1_115074_2021-11-26_final
2021-11-26 10:43:14	ga_ls7e_ard_3-2-1_115078_2021-11-26_final
2021-12-25 10:09:11	ga_ls7e_ard_3-2-1_110077_2021-12-25_final
2022-02-07 08:46:43	ga_ls7e_ard_3-2-1_098067_2022-02-06_final
2022-02-11 10:02:27	ga_ls7e_ard_3-2-1_110072_2022-02-11_final
2022-02-14 10:36:14	ga_ls7e_ard_3-2-1_115080_2022-02-14_final
2022-02-15 08:05:37	ga_ls7e_ard_3-2-1_090090_2022-02-14_final
2022-02-23 10:29:35	ga_ls7e_ard_3-2-1_114081_2022-02-23_final
2022-02-28 09:09:34	ga_ls7e_ard_3-2-1_101083_2022-02-27_final
2022-03-02 08:55:49	ga_ls7e_ard_3-2-1_099080_2022-03-01_final
2022-03-03 09:34:35	ga_ls7e_ard_3-2-1_106069_2022-03-03_final
2022-03-04 10:19:44	ga_ls7e_ard_3-2-1_113074_2022-03-04_final
2022-03-10 08:06:47	ga_ls7e_ard_3-2-1_091083_2022-03-09_final
2022-03-25 08:57:20	ga_ls7e_ard_3-2-1_100074_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years