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
2000-03-09 09:44:09	ga_ls7e_ard_3-0-0_095085_2000-03-09_final
2003-01-13 09:38:00	ga_ls7e_ard_3-0-0_095080_2003-01-13_final
2004-06-08 09:39:53	ga_ls7e_ard_3-0-0_095083_2004-06-08_final
2004-10-30 09:40:02	ga_ls7e_ard_3-0-0_095084_2004-10-30_final
2006-05-13 09:40:52	ga_ls7e_ard_3-0-0_095083_2006-05-13_final
2007-08-04 09:40:54	ga_ls7e_ard_3-0-0_095083_2007-08-04_final
2007-10-07 09:41:16	ga_ls7e_ard_3-0-0_095085_2007-10-07_final
2008-03-15 09:39:44	ga_ls7e_ard_3-0-0_095080_2008-03-15_final
2008-03-15 09:40:08	ga_ls7e_ard_3-0-0_095081_2008-03-15_final
2008-04-16 09:41:43	ga_ls7e_ard_3-0-0_095085_2008-04-16_final
2009-01-13 09:39:17	ga_ls7e_ard_3-0-0_095080_2009-01-13_final
2009-05-05 09:40:01	ga_ls7e_ard_3-0-0_095080_2009-05-05_final
2012-02-07 09:44:53	ga_ls7e_ard_3-0-0_095083_2012-02-07_final
2012-04-11 09:45:38	ga_ls7e_ard_3-0-0_095085_2012-04-11_final
2013-12-10 09:46:45	ga_ls7e_ard_3-0-0_095082_2013-12-10_final
2014-05-03 09:47:37	ga_ls7e_ard_3-0-0_095082_2014-05-03_final
2015-12-16 09:52:47	ga_ls7e_ard_3-0-0_095085_2015-12-16_final
2016-06-25 09:53:45	ga_ls7e_ard_3-0-0_095084_2016-06-25_final
2017-03-24 09:53:00	ga_ls7e_ard_3-0-0_095083_2017-03-24_final
2017-06-12 09:53:24	ga_ls7e_ard_3-0-0_095083_2017-06-12_final
2018-04-12 09:50:47	ga_ls7e_ard_3-0-0_095081_2018-04-12_final
2018-10-21 09:48:15	ga_ls7e_ard_3-0-0_095084_2018-10-21_final
2020-03-16 09:29:25	ga_ls7e_ard_3-1-0_095087_2020-03-15_final
2021-01-29 09:57:44	ga_ls7e_ard_3-2-0_104070_2021-01-29_final
2021-02-22 09:09:41	ga_ls7e_ard_3-2-0_096078_2021-02-21_final
2021-02-24 08:59:58	ga_ls7e_ard_3-2-0_094085_2021-02-23_final
2021-02-25 09:38:22	ga_ls7e_ard_3-2-0_101073_2021-02-25_final
2021-02-28 10:10:37	ga_ls7e_ard_3-2-0_106077_2021-02-28_final
2021-03-05 10:30:46	ga_ls7e_ard_3-2-0_109082_2021-03-05_final
2021-03-08 09:20:10	ga_ls7e_ard_3-2-0_098076_2021-03-07_final
2021-03-17 09:16:04	ga_ls7e_ard_3-2-0_097083_2021-03-16_final
2021-03-19 10:42:25	ga_ls7e_ard_3-2-0_111083_2021-03-19_final
2021-03-23 10:15:47	ga_ls7e_ard_3-2-0_107079_2021-03-23_final
2021-03-26 09:07:34	ga_ls7e_ard_3-2-0_096079_2021-03-25_final
2021-03-26 10:46:50	ga_ls7e_ard_3-2-0_112080_2021-03-26_final
2021-03-28 08:56:14	ga_ls7e_ard_3-2-0_094082_2021-03-27_final
2021-04-04 09:01:03	ga_ls7e_ard_3-2-0_095080_2021-04-03_final
2021-04-12 09:49:01	ga_ls7e_ard_3-2-0_103078_2021-04-12_final
2021-04-13 08:52:31	ga_ls7e_ard_3-2-0_094076_2021-04-12_final
2021-04-13 10:31:24	ga_ls7e_ard_3-2-0_110076_2021-04-13_final
2021-04-22 10:26:27	ga_ls7e_ard_3-2-0_109081_2021-04-22_final
2021-04-24 08:33:51	ga_ls7e_ard_3-2-0_091078_2021-04-23_final
2021-05-01 10:18:43	ga_ls7e_ard_3-2-0_108079_2021-05-01_final
2021-05-19 08:26:22	ga_ls7e_ard_3-2-0_090080_2021-05-18_final
2021-05-24 08:44:53	ga_ls7e_ard_3-2-0_093081_2021-05-23_final
2021-05-29 09:02:35	ga_ls7e_ard_3-2-0_096080_2021-05-28_final
2021-06-20 08:24:54	ga_ls7e_ard_3-2-0_090083_2021-06-19_final
2021-07-01 09:41:08	ga_ls7e_ard_3-2-0_103075_2021-07-01_final
2021-07-07 09:04:44	ga_ls7e_ard_3-2-0_097078_2021-07-06_final
2021-07-18 08:47:15	ga_ls7e_ard_3-2-0_094083_2021-07-17_final
2021-07-31 09:50:07	ga_ls7e_ard_3-2-0_105073_2021-07-31_final
2021-08-03 08:45:04	ga_ls7e_ard_3-2-0_094081_2021-08-02_final
2021-08-04 09:25:02	ga_ls7e_ard_3-2-0_101073_2021-08-03_final
2021-08-14 10:04:25	ga_ls7e_ard_3-2-0_107081_2021-08-14_final
2021-08-18 09:36:33	ga_ls7e_ard_3-2-0_103074_2021-08-18_final
2021-08-19 08:45:14	ga_ls7e_ard_3-2-0_094085_2021-08-18_final
2021-08-24 08:58:34	ga_ls7e_ard_3-2-0_097073_2021-08-23_final
2021-08-27 09:30:48	ga_ls7e_ard_3-2-0_102077_2021-08-27_final
2021-08-28 10:16:22	ga_ls7e_ard_3-2-0_109083_2021-08-28_final
2021-09-13 08:33:18	ga_ls7e_ard_3-2-0_093076_2021-09-12_final
2021-09-13 08:36:29	ga_ls7e_ard_3-2-0_093084_2021-09-12_final
2021-09-18 08:50:12	ga_ls7e_ard_3-2-0_096073_2021-09-17_final
2021-09-25 10:37:25	ga_ls7e_ard_3-2-0_113080_2021-09-25_final
2021-10-04 08:48:22	ga_ls7e_ard_3-2-0_096072_2021-10-03_final
2021-10-06 08:39:26	ga_ls7e_ard_3-2-0_094081_2021-10-05_final
2021-10-07 09:20:12	ga_ls7e_ard_3-2-0_101075_2021-10-06_final
2021-10-13 08:39:24	ga_ls7e_ard_3-2-0_095067_2021-10-12_final
2021-10-17 09:57:59	ga_ls7e_ard_3-2-0_107079_2021-10-17_final
2021-10-20 08:52:08	ga_ls7e_ard_3-2-0_096085_2021-10-19_final
2021-10-28 09:36:27	ga_ls7e_ard_3-2-0_104074_2021-10-28_final
2021-11-05 08:45:52	ga_ls7e_ard_3-2-0_096073_2021-11-04_final
2021-11-09 09:58:03	ga_ls7e_ard_3-2-0_108069_2021-11-09_final
2021-11-09 09:59:14	ga_ls7e_ard_3-2-0_108072_2021-11-09_final
2021-12-02 08:27:56	ga_ls7e_ard_3-2-1_093081_2021-12-01_final
2021-12-10 09:17:01	ga_ls7e_ard_3-2-1_101082_2021-12-09_final
2021-12-12 09:00:52	ga_ls7e_ard_3-2-1_099073_2021-12-11_final
2021-12-14 08:51:07	ga_ls7e_ard_3-2-1_097080_2021-12-13_final
2021-12-17 09:22:31	ga_ls7e_ard_3-2-1_102082_2021-12-16_final
2021-12-21 08:57:25	ga_ls7e_ard_3-2-1_098082_2021-12-20_final
2021-12-23 08:43:15	ga_ls7e_ard_3-2-1_096078_2021-12-22_final
2022-01-05 09:50:19	ga_ls7e_ard_3-2-1_107079_2022-01-05_final
2022-01-06 08:52:37	ga_ls7e_ard_3-2-1_098074_2022-01-05_final
2022-01-17 08:35:02	ga_ls7e_ard_3-2-1_095079_2022-01-16_final
2022-01-19 08:25:17	ga_ls7e_ard_3-2-1_093086_2022-01-18_final
2022-01-19 10:00:34	ga_ls7e_ard_3-2-1_109077_2022-01-19_final
2022-01-19 10:00:58	ga_ls7e_ard_3-2-1_109078_2022-01-19_final
2022-01-28 09:55:06	ga_ls7e_ard_3-2-1_108081_2022-01-28_final
2022-02-04 08:20:31	ga_ls7e_ard_3-2-1_093078_2022-02-03_final
2022-02-09 08:36:56	ga_ls7e_ard_3-2-1_096074_2022-02-08_final
2022-02-11 08:26:46	ga_ls7e_ard_3-2-1_094080_2022-02-10_final
2022-02-13 09:52:17	ga_ls7e_ard_3-2-1_108078_2022-02-13_final
2022-02-18 10:10:19	ga_ls7e_ard_3-2-1_111078_2022-02-18_final
2022-02-19 09:13:48	ga_ls7e_ard_3-2-1_102076_2022-02-18_final
2022-03-04 08:40:52	ga_ls7e_ard_3-2-1_097074_2022-03-03_final
2022-03-06 08:30:18	ga_ls7e_ard_3-2-1_095079_2022-03-05_final
2022-03-13 10:15:27	ga_ls7e_ard_3-2-1_112081_2022-03-13_final
2022-03-24 08:16:10	ga_ls7e_ard_3-2-1_093079_2022-03-23_final
2022-03-30 09:15:00	ga_ls7e_ard_3-2-1_103073_2022-03-29_final
2022-04-04 07:56:58	ga_ls7e_ard_3-2-1_090080_2022-04-03_final
2022-04-05 08:38:32	ga_ls7e_ard_3-2-1_097076_2022-04-04_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