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
1999-11-30 11:44:23	ga_ls7e_ard_3-0-0_115076_1999-11-30_final
2000-02-18 11:44:41	ga_ls7e_ard_3-0-0_115077_2000-02-18_final
2000-07-15 09:35:53	ga_ls7e_ard_3-0-0_095067_2000-07-15_final
2001-12-09 09:35:47	ga_ls7e_ard_3-0-0_095074_2001-12-09_final
2002-01-26 09:41:14	ga_ls7e_ard_3-0-0_095087_2002-01-26_final
2002-03-31 09:38:47	ga_ls7e_ard_3-0-0_095081_2002-03-31_final
2002-07-05 09:35:38	ga_ls7e_ard_3-0-0_095074_2002-07-05_final
2002-08-22 09:37:42	ga_ls7e_ard_3-0-0_095080_2002-08-22_final
2002-08-22 09:38:06	ga_ls7e_ard_3-0-0_095081_2002-08-22_final
2003-04-03 09:36:20	ga_ls7e_ard_3-0-0_095075_2003-04-03_final
2003-05-05 09:36:22	ga_ls7e_ard_3-0-0_095075_2003-05-05_final
2003-09-26 09:37:47	ga_ls7e_ard_3-0-0_095080_2003-09-26_final
2004-01-21 11:36:26	ga_ls7e_ard_3-0-0_114081_2004-01-21_final
2004-02-01 09:38:17	ga_ls7e_ard_3-1-0_095079_2004-02-01_final
2004-10-14 09:39:22	ga_ls7e_ard_3-0-0_095083_2004-10-14_final
2004-11-15 09:36:56	ga_ls7e_ard_3-0-0_095076_2004-11-15_final
2005-12-04 09:37:36	ga_ls7e_ard_3-0-0_095076_2005-12-04_final
2007-07-19 09:38:11	ga_ls7e_ard_3-0-0_095076_2007-07-19_final
2010-02-17 09:39:08	ga_ls7e_ard_3-0-0_095074_2010-02-17_final
2011-12-21 09:45:29	ga_ls7e_ard_3-0-0_095085_2011-12-21_final
2012-12-23 09:46:32	ga_ls7e_ard_3-0-0_095082_2012-12-23_final
2013-04-03 11:43:04	ga_ls7e_ard_3-0-0_114080_2013-04-03_final
2014-02-28 09:43:55	ga_ls7e_ard_3-0-0_095074_2014-02-28_final
2014-05-31 11:48:59	ga_ls7e_ard_3-0-0_115076_2014-05-31_final
2014-06-20 09:48:12	ga_ls7e_ard_3-0-0_095083_2014-06-20_final
2014-09-13 11:44:15	ga_ls7e_ard_3-0-0_114079_2014-09-13_final
2014-10-15 11:44:59	ga_ls7e_ard_3-0-0_114080_2014-10-15_final
2014-12-13 09:46:27	ga_ls7e_ard_3-0-0_095076_2014-12-13_final
2015-02-15 09:45:53	ga_ls7e_ard_3-0-0_095074_2015-02-15_final
2015-07-09 09:50:54	ga_ls7e_ard_3-0-0_095084_2015-07-09_final
2015-09-27 09:49:34	ga_ls7e_ard_3-0-0_095080_2015-09-27_final
2015-10-29 09:47:37	ga_ls7e_ard_3-0-0_095074_2015-10-29_final
2015-11-03 11:47:29	ga_ls7e_ard_3-0-0_114080_2015-11-03_final
2016-05-24 09:52:50	ga_ls7e_ard_3-0-0_095082_2016-05-24_final
2016-09-13 09:50:18	ga_ls7e_ard_3-0-0_095075_2016-09-13_final
2016-10-31 09:53:04	ga_ls7e_ard_3-0-0_095082_2016-10-31_final
2018-01-06 09:51:42	ga_ls7e_ard_3-0-0_095080_2018-01-06_final
2018-11-06 09:44:43	ga_ls7e_ard_3-0-0_095076_2018-11-06_final
2019-01-30 11:41:19	ga_ls7e_ard_3-0-0_114080_2019-01-30_final
2019-04-15 09:41:53	ga_ls7e_ard_3-0-0_095081_2019-04-15_final
2020-02-13 09:30:19	ga_ls7e_ard_3-1-0_095085_2020-02-13_final
2020-03-12 11:30:02	ga_ls7e_ard_3-1-0_115079_2020-03-12_final
2020-06-04 09:21:55	ga_ls7e_ard_3-1-0_095080_2020-06-03_final
2021-02-07 09:53:40	ga_ls7e_ard_3-2-0_103077_2021-02-07_final
2021-02-10 10:24:45	ga_ls7e_ard_3-2-0_108078_2021-02-10_final
2021-02-22 09:10:29	ga_ls7e_ard_3-2-0_096080_2021-02-21_final
2021-02-24 10:36:51	ga_ls7e_ard_3-2-0_110080_2021-02-24_final
2021-03-12 08:55:32	ga_ls7e_ard_3-2-0_094077_2021-03-11_final
2021-03-16 08:32:29	ga_ls7e_ard_3-2-0_090082_2021-03-15_final
2021-04-18 09:11:02	ga_ls7e_ard_3-2-0_097077_2021-04-17_final
2021-04-18 10:49:07	ga_ls7e_ard_3-2-0_113075_2021-04-18_final
2021-04-18 10:50:19	ga_ls7e_ard_3-2-0_113078_2021-04-18_final
2021-04-29 08:53:09	ga_ls7e_ard_3-2-0_094081_2021-04-28_final
2021-05-01 08:38:38	ga_ls7e_ard_3-2-0_092076_2021-04-30_final
2021-05-01 10:15:31	ga_ls7e_ard_3-2-0_108071_2021-05-01_final
2021-05-05 09:51:16	ga_ls7e_ard_3-2-0_104073_2021-05-05_final
2021-05-07 09:40:20	ga_ls7e_ard_3-2-0_102077_2021-05-07_final
2021-05-10 08:37:18	ga_ls7e_ard_3-2-0_091090_2021-05-09_final
2021-05-22 08:58:36	ga_ls7e_ard_3-2-0_095084_2021-05-21_final
2021-05-24 08:44:53	ga_ls7e_ard_3-2-0_093081_2021-05-23_final
2021-05-26 08:31:57	ga_ls7e_ard_3-2-0_091080_2021-05-25_final
2021-06-03 09:19:06	ga_ls7e_ard_3-2-0_099076_2021-06-02_final
2021-06-08 09:36:50	ga_ls7e_ard_3-2-0_102075_2021-06-08_final
2021-06-18 08:34:38	ga_ls7e_ard_3-2-0_092076_2021-06-17_final
2021-06-18 08:35:02	ga_ls7e_ard_3-2-0_092077_2021-06-17_final
2021-06-24 09:37:08	ga_ls7e_ard_3-2-0_102079_2021-06-24_final
2021-07-06 08:23:34	ga_ls7e_ard_3-2-0_090083_2021-07-05_final
2021-07-27 10:13:59	ga_ls7e_ard_3-2-0_109070_2021-07-27_final
2021-08-05 10:09:24	ga_ls7e_ard_3-2-0_108076_2021-08-05_final
2021-08-06 09:12:54	ga_ls7e_ard_3-2-0_099074_2021-08-05_final
2021-08-07 08:20:47	ga_ls7e_ard_3-2-0_090083_2021-08-06_final
2021-08-12 10:12:34	ga_ls7e_ard_3-2-0_109070_2021-08-12_final
2021-08-15 10:45:36	ga_ls7e_ard_3-2-0_114076_2021-08-15_final
2021-08-17 10:32:39	ga_ls7e_ard_3-2-0_112075_2021-08-17_final
2021-08-19 08:41:39	ga_ls7e_ard_3-2-0_094076_2021-08-18_final
2021-08-28 08:35:30	ga_ls7e_ard_3-2-0_093078_2021-08-27_final
2021-09-23 09:08:17	ga_ls7e_ard_3-2-0_099073_2021-09-22_final
2021-10-08 10:06:10	ga_ls7e_ard_3-2-0_108082_2021-10-08_final
2021-10-19 09:44:39	ga_ls7e_ard_3-2-0_105077_2021-10-19_final
2021-10-24 08:25:51	ga_ls7e_ard_3-2-0_092082_2021-10-23_final
2021-10-26 09:51:23	ga_ls7e_ard_3-2-0_106080_2021-10-26_final
2021-10-27 10:34:10	ga_ls7e_ard_3-2-0_113079_2021-10-27_final
2021-11-28 08:49:49	ga_ls7e_ard_3-2-1_097073_2021-11-27_final
2021-12-06 09:38:07	ga_ls7e_ard_3-2-1_105072_2021-12-06_final
2021-12-09 08:33:27	ga_ls7e_ard_3-2-1_094081_2021-12-08_final
2021-12-13 09:46:25	ga_ls7e_ard_3-2-1_106079_2021-12-13_final
2021-12-23 08:44:51	ga_ls7e_ard_3-2-1_096082_2021-12-22_final
2021-12-29 09:45:39	ga_ls7e_ard_3-2-1_106081_2021-12-29_final
2022-01-04 09:07:33	ga_ls7e_ard_3-2-1_100080_2022-01-03_final
2022-01-15 08:49:11	ga_ls7e_ard_3-2-1_097083_2022-01-14_final
2022-01-19 08:25:17	ga_ls7e_ard_3-2-1_093086_2022-01-18_final
2022-01-30 09:43:21	ga_ls7e_ard_3-2-1_106083_2022-01-30_final
2022-02-05 09:04:04	ga_ls7e_ard_3-2-1_100079_2022-02-04_final
2022-02-10 09:19:42	ga_ls7e_ard_3-2-1_103073_2022-02-09_final
2022-02-15 09:39:18	ga_ls7e_ard_3-2-1_106077_2022-02-15_final
2022-02-25 08:36:57	ga_ls7e_ard_3-2-1_096078_2022-02-24_final
2022-02-27 10:02:53	ga_ls7e_ard_3-2-1_110077_2022-02-27_final
2022-03-07 09:12:40	ga_ls7e_ard_3-2-1_102077_2022-03-06_final
2022-03-17 08:11:51	ga_ls7e_ard_3-2-1_092082_2022-03-16_final
2022-03-21 09:24:50	ga_ls7e_ard_3-2-1_104080_2022-03-20_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