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
1999-11-23 11:38:36	ga_ls7e_ard_3-0-0_114077_1999-11-23_final
2001-07-14 11:40:57	ga_ls7e_ard_3-0-0_115076_2001-07-14_final
2001-07-14 11:41:21	ga_ls7e_ard_3-0-0_115077_2001-07-14_final
2002-02-16 11:34:18	ga_ls7e_ard_3-0-0_114076_2002-02-16_final
2002-03-11 11:40:55	ga_ls7e_ard_3-1-0_115077_2002-03-11_final
2002-10-21 11:39:47	ga_ls7e_ard_3-1-0_115077_2002-10-21_final
2002-12-26 11:30:47	ga_ls7e_ard_3-0-0_113084_2002-12-26_final
2003-01-02 11:33:46	ga_ls7e_ard_3-0-0_114076_2003-01-02_final
2003-05-26 11:35:19	ga_ls7e_ard_3-0-0_114079_2003-05-26_final
2004-02-06 11:35:19	ga_ls7e_ard_3-0-0_114078_2004-02-06_final
2004-10-19 11:34:54	ga_ls7e_ard_3-0-0_114078_2004-10-19_final
2008-04-21 11:35:56	ga_ls7e_ard_3-0-0_114077_2008-04-21_final
2009-03-14 11:42:09	ga_ls7e_ard_3-0-0_115077_2009-03-14_final
2009-06-27 11:32:14	ga_ls7e_ard_3-0-0_114067_2009-06-27_final
2010-07-16 11:37:39	ga_ls7e_ard_3-0-0_114076_2010-07-16_final
2011-03-29 11:40:13	ga_ls7e_ard_3-0-0_114079_2011-03-29_final
2011-06-01 11:39:50	ga_ls7e_ard_3-0-0_114078_2011-06-01_final
2012-01-20 11:36:27	ga_ls7e_ard_3-0-0_113084_2012-01-20_final
2013-02-21 11:48:58	ga_ls7e_ard_3-0-0_115079_2013-02-21_final
2013-06-22 11:42:14	ga_ls7e_ard_3-0-0_114079_2013-06-22_final
2013-07-08 11:41:15	ga_ls7e_ard_3-0-0_114077_2013-07-08_final
2013-08-02 11:36:53	ga_ls7e_ard_3-0-0_113082_2013-08-02_final
2014-01-09 11:38:52	ga_ls7e_ard_3-0-0_113084_2014-01-09_final
2014-01-23 11:48:44	ga_ls7e_ard_3-1-0_115077_2014-01-23_final
2014-02-10 11:38:05	ga_ls7e_ard_3-0-0_113081_2014-02-10_final
2014-02-17 11:41:45	ga_ls7e_ard_3-0-0_114075_2014-02-17_final
2014-04-22 11:43:00	ga_ls7e_ard_3-0-0_114077_2014-04-22_final
2014-07-11 11:44:09	ga_ls7e_ard_3-0-0_114079_2014-07-11_final
2014-11-23 11:49:53	ga_ls7e_ard_3-0-0_115076_2014-11-23_final
2015-01-28 11:41:05	ga_ls7e_ard_3-0-0_113084_2015-01-28_final
2015-03-24 11:44:04	ga_ls7e_ard_3-0-0_114075_2015-03-24_final
2016-01-13 11:53:36	ga_ls7e_ard_3-1-0_115077_2016-01-13_final
2017-02-02 11:44:26	ga_ls7e_ard_3-0-0_113084_2017-02-02_final
2017-07-03 11:48:53	ga_ls7e_ard_3-0-0_114078_2017-07-03_final
2018-01-27 11:47:12	ga_ls7e_ard_3-0-0_114076_2018-01-27_final
2018-05-03 11:47:03	ga_ls7e_ard_3-0-0_114079_2018-05-03_final
2019-06-14 11:41:39	ga_ls7e_ard_3-1-0_115077_2019-06-14_final
2020-07-27 11:15:46	ga_ls7e_ard_3-1-0_114079_2020-07-27_final
2020-09-22 11:06:41	ga_ls7e_ard_3-1-0_113081_2020-09-22_final
2020-10-24 11:04:38	ga_ls7e_ard_3-1-0_113081_2020-10-24_final
2020-11-22 10:27:45	ga_ls7e_ard_3-1-0_108071_2020-11-22_final
2020-11-27 09:11:51	ga_ls7e_ard_3-1-0_095083_2020-11-26_final
2020-11-29 08:58:33	ga_ls7e_ard_3-1-0_093081_2020-11-28_final
2020-12-26 08:37:36	ga_ls7e_ard_3-1-0_090080_2020-12-25_final
2021-01-21 09:13:15	ga_ls7e_ard_3-2-0_096081_2021-01-20_final
2021-01-23 09:01:57	ga_ls7e_ard_3-2-0_094084_2021-01-22_final
2021-02-07 09:54:04	ga_ls7e_ard_3-2-0_103078_2021-02-07_final
2021-02-10 08:50:16	ga_ls7e_ard_3-2-0_092089_2021-02-09_final
2021-03-07 08:39:46	ga_ls7e_ard_3-2-0_091083_2021-03-06_final
2021-03-10 09:08:26	ga_ls7e_ard_3-2-0_096078_2021-03-09_final
2021-03-24 10:58:58	ga_ls7e_ard_3-2-0_114079_2021-03-24_final
2021-03-28 08:57:02	ga_ls7e_ard_3-2-0_094084_2021-03-27_final
2021-04-06 08:48:07	ga_ls7e_ard_3-2-0_093079_2021-04-05_final
2021-04-20 09:01:18	ga_ls7e_ard_3-2-0_095084_2021-04-19_final
2021-04-20 10:38:59	ga_ls7e_ard_3-2-0_111081_2021-04-20_final
2021-05-02 09:20:37	ga_ls7e_ard_3-2-0_099073_2021-05-01_final
2021-05-16 09:33:00	ga_ls7e_ard_3-2-0_101076_2021-05-16_final
2021-05-17 10:16:59	ga_ls7e_ard_3-2-0_108078_2021-05-17_final
2021-05-22 08:58:12	ga_ls7e_ard_3-2-0_095083_2021-05-21_final
2021-06-09 10:18:49	ga_ls7e_ard_3-2-0_109072_2021-06-09_final
2021-06-15 09:42:03	ga_ls7e_ard_3-2-0_103074_2021-06-15_final
2021-06-16 08:48:21	ga_ls7e_ard_3-2-0_094079_2021-06-15_final
2021-06-19 09:17:24	ga_ls7e_ard_3-2-0_099075_2021-06-18_final
2021-07-01 09:43:07	ga_ls7e_ard_3-2-0_103080_2021-07-01_final
2021-07-22 08:22:11	ga_ls7e_ard_3-2-0_090083_2021-07-21_final
2021-07-24 09:47:20	ga_ls7e_ard_3-2-0_104080_2021-07-24_final
2021-08-03 08:45:04	ga_ls7e_ard_3-2-0_094081_2021-08-02_final
2021-08-08 08:59:34	ga_ls7e_ard_3-2-0_097072_2021-08-07_final
2021-08-24 08:58:34	ga_ls7e_ard_3-2-0_097073_2021-08-23_final
2021-09-09 10:37:15	ga_ls7e_ard_3-2-0_113076_2021-09-09_final
2021-09-18 08:51:47	ga_ls7e_ard_3-2-0_096077_2021-09-17_final
2021-09-20 08:39:15	ga_ls7e_ard_3-2-0_094077_2021-09-19_final
2021-09-20 08:41:39	ga_ls7e_ard_3-2-0_094083_2021-09-19_final
2021-10-10 08:15:09	ga_ls7e_ard_3-2-0_090083_2021-10-09_final
2021-10-13 08:43:23	ga_ls7e_ard_3-2-0_095077_2021-10-12_final
2021-10-15 08:32:03	ga_ls7e_ard_3-2-0_093080_2021-10-14_final
2021-10-15 10:12:07	ga_ls7e_ard_3-2-0_109083_2021-10-15_final
2021-10-24 08:25:03	ga_ls7e_ard_3-2-0_092080_2021-10-23_final
2021-10-29 08:42:44	ga_ls7e_ard_3-2-0_095079_2021-10-28_final
2021-10-30 09:24:42	ga_ls7e_ard_3-2-0_102076_2021-10-29_final
2021-11-02 09:53:44	ga_ls7e_ard_3-2-0_107072_2021-11-02_final
2021-11-05 08:48:40	ga_ls7e_ard_3-2-0_096080_2021-11-04_final
2021-11-18 09:52:35	ga_ls7e_ard_3-2-1_107073_2021-11-18_final
2021-12-02 08:27:32	ga_ls7e_ard_3-2-1_093080_2021-12-01_final
2021-12-03 09:10:18	ga_ls7e_ard_3-2-1_100079_2021-12-02_final
2021-12-12 09:01:40	ga_ls7e_ard_3-2-1_099075_2021-12-11_final
2021-12-13 09:46:49	ga_ls7e_ard_3-2-1_106080_2021-12-13_final
2022-01-05 09:49:55	ga_ls7e_ard_3-2-1_107078_2022-01-05_final
2022-01-06 10:33:29	ga_ls7e_ard_3-2-1_114079_2022-01-06_final
2022-01-08 10:20:56	ga_ls7e_ard_3-2-1_112079_2022-01-08_final
2022-01-12 09:51:52	ga_ls7e_ard_3-2-1_108069_2022-01-12_final
2022-01-29 10:36:40	ga_ls7e_ard_3-2-1_115077_2022-01-29_final
2022-01-31 10:24:07	ga_ls7e_ard_3-2-1_113077_2022-01-31_final
2022-02-11 08:26:46	ga_ls7e_ard_3-2-1_094080_2022-02-10_final
2022-02-15 08:02:01	ga_ls7e_ard_3-2-1_090081_2022-02-14_final
2022-03-02 08:53:49	ga_ls7e_ard_3-2-1_099075_2022-03-01_final
2022-03-05 09:25:13	ga_ls7e_ard_3-2-1_104077_2022-03-04_final
2022-03-06 08:30:18	ga_ls7e_ard_3-2-1_095079_2022-03-05_final
2022-03-10 08:04:47	ga_ls7e_ard_3-2-1_091078_2022-03-09_final
2022-04-02 09:49:12	ga_ls7e_ard_3-2-1_108082_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