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
1999-12-20 09:42:55	ga_ls7e_ard_3-0-0_095081_1999-12-20_final
2000-06-13 09:43:51	ga_ls7e_ard_3-0-0_095086_2000-06-13_final
2001-05-15 09:37:04	ga_ls7e_ard_3-0-0_095074_2001-05-15_final
2002-01-26 09:40:03	ga_ls7e_ard_3-0-0_095084_2002-01-26_final
2002-08-22 09:37:42	ga_ls7e_ard_3-0-0_095080_2002-08-22_final
2002-11-10 09:35:53	ga_ls7e_ard_3-0-0_095076_2002-11-10_final
2003-01-29 09:36:06	ga_ls7e_ard_3-0-0_095075_2003-01-29_final
2003-08-09 09:38:23	ga_ls7e_ard_3-0-0_095081_2003-08-09_final
2003-08-09 09:39:11	ga_ls7e_ard_3-0-0_095083_2003-08-09_final
2004-04-05 09:40:03	ga_ls7e_ard_3-0-0_095083_2004-04-05_final
2004-11-15 09:40:56	ga_ls7e_ard_3-0-0_095086_2004-11-15_final
2005-09-15 09:38:39	ga_ls7e_ard_3-0-0_095080_2005-09-15_final
2006-01-05 09:41:23	ga_ls7e_ard_3-0-0_095085_2006-01-05_final
2006-02-06 09:38:01	ga_ls7e_ard_3-0-0_095076_2006-02-06_final
2006-03-10 09:39:42	ga_ls7e_ard_3-0-0_095080_2006-03-10_final
2006-03-26 09:40:05	ga_ls7e_ard_3-0-0_095081_2006-03-26_final
2007-07-19 09:41:46	ga_ls7e_ard_3-0-0_095085_2007-07-19_final
2008-07-21 09:39:19	ga_ls7e_ard_3-0-0_095081_2008-07-21_final
2008-08-22 09:39:06	ga_ls7e_ard_3-0-0_095081_2008-08-22_final
2010-02-17 09:43:31	ga_ls7e_ard_3-0-0_095085_2010-02-17_final
2010-03-05 09:44:03	ga_ls7e_ard_3-0-0_095086_2010-03-05_final
2011-06-28 09:44:43	ga_ls7e_ard_3-0-0_095084_2011-06-28_final
2012-01-22 09:44:47	ga_ls7e_ard_3-0-0_095083_2012-01-22_final
2012-07-16 09:44:47	ga_ls7e_ard_3-0-0_095081_2012-07-16_final
2012-12-23 09:46:56	ga_ls7e_ard_3-0-0_095083_2012-12-23_final
2013-12-26 09:46:00	ga_ls7e_ard_3-0-0_095080_2013-12-26_final
2014-07-22 09:48:22	ga_ls7e_ard_3-0-0_095083_2014-07-22_final
2015-02-15 09:49:05	ga_ls7e_ard_3-0-0_095082_2015-02-15_final
2015-10-13 09:49:45	ga_ls7e_ard_3-0-0_095080_2015-10-13_final
2015-11-30 09:48:06	ga_ls7e_ard_3-0-0_095074_2015-11-30_final
2015-11-30 09:48:30	ga_ls7e_ard_3-0-0_095075_2015-11-30_final
2016-03-21 09:51:19	ga_ls7e_ard_3-1-0_095079_2016-03-21_final
2016-10-31 09:51:04	ga_ls7e_ard_3-0-0_095077_2016-10-31_final
2017-01-19 09:50:06	ga_ls7e_ard_3-0-0_095076_2017-01-19_final
2017-09-16 09:52:58	ga_ls7e_ard_3-0-0_095082_2017-09-16_final
2018-03-11 09:52:03	ga_ls7e_ard_3-0-0_095083_2018-03-11_final
2018-05-30 09:50:47	ga_ls7e_ard_3-0-0_095083_2018-05-30_final
2018-11-06 09:45:31	ga_ls7e_ard_3-0-0_095078_2018-11-06_final
2019-02-10 09:41:35	ga_ls7e_ard_3-0-0_095075_2019-02-10_final
2019-02-10 09:45:34	ga_ls7e_ard_3-0-0_095085_2019-02-10_final
2019-12-27 09:29:10	ga_ls7e_ard_3-1-0_095076_2019-12-26_final
2020-02-13 09:28:20	ga_ls7e_ard_3-1-0_095080_2020-02-12_final
2020-03-16 09:28:37	ga_ls7e_ard_3-1-0_095085_2020-03-15_final
2021-02-07 09:54:04	ga_ls7e_ard_3-2-0_103078_2021-02-07_final
2021-02-11 09:27:28	ga_ls7e_ard_3-2-0_099074_2021-02-10_final
2021-03-03 09:05:12	ga_ls7e_ard_3-2-0_095084_2021-03-02_final
2021-03-06 09:34:16	ga_ls7e_ard_3-2-0_100080_2021-03-06_final
2021-03-17 10:55:20	ga_ls7e_ard_3-2-0_113084_2021-03-17_final
2021-03-24 09:17:41	ga_ls7e_ard_3-2-0_098073_2021-03-23_final
2021-04-08 08:39:59	ga_ls7e_ard_3-2-0_091090_2021-04-07_final
2021-04-13 10:34:11	ga_ls7e_ard_3-2-0_110083_2021-04-13_final
2021-04-23 09:30:45	ga_ls7e_ard_3-2-0_100081_2021-04-23_final
2021-05-01 08:42:14	ga_ls7e_ard_3-2-0_092085_2021-04-30_final
2021-05-02 09:20:37	ga_ls7e_ard_3-2-0_099073_2021-05-01_final
2021-05-06 08:58:45	ga_ls7e_ard_3-2-0_095081_2021-05-05_final
2021-05-06 08:59:57	ga_ls7e_ard_3-2-0_095084_2021-05-05_final
2021-05-08 10:20:43	ga_ls7e_ard_3-2-0_109070_2021-05-08_final
2021-05-08 10:25:31	ga_ls7e_ard_3-2-0_109082_2021-05-08_final
2021-05-12 09:58:51	ga_ls7e_ard_3-2-0_105078_2021-05-12_final
2021-05-16 09:33:00	ga_ls7e_ard_3-2-0_101076_2021-05-16_final
2021-05-31 10:27:44	ga_ls7e_ard_3-2-0_110077_2021-05-31_final
2021-06-13 09:55:46	ga_ls7e_ard_3-2-0_105077_2021-06-13_final
2021-06-23 10:31:14	ga_ls7e_ard_3-2-0_111075_2021-06-23_final
2021-06-26 09:25:24	ga_ls7e_ard_3-2-0_100081_2021-06-25_final
2021-06-29 09:52:51	ga_ls7e_ard_3-2-0_105073_2021-06-29_final
2021-07-18 10:21:21	ga_ls7e_ard_3-2-0_110071_2021-07-18_final
2021-07-28 09:22:16	ga_ls7e_ard_3-2-0_100080_2021-07-27_final
2021-08-05 10:10:36	ga_ls7e_ard_3-2-0_108079_2021-08-05_final
2021-08-12 10:14:10	ga_ls7e_ard_3-2-0_109074_2021-08-12_final
2021-08-14 10:00:50	ga_ls7e_ard_3-2-0_107072_2021-08-14_final
2021-08-26 08:46:26	ga_ls7e_ard_3-2-0_095074_2021-08-25_final
2021-08-28 10:11:59	ga_ls7e_ard_3-2-0_109072_2021-08-28_final
2021-09-01 09:46:31	ga_ls7e_ard_3-2-0_105071_2021-09-01_final
2021-09-02 10:32:53	ga_ls7e_ard_3-2-0_112079_2021-09-02_final
2021-09-11 10:21:07	ga_ls7e_ard_3-2-0_111067_2021-09-11_final
2021-09-25 08:59:20	ga_ls7e_ard_3-2-0_097082_2021-09-24_final
2021-10-08 08:25:42	ga_ls7e_ard_3-2-0_092078_2021-10-07_final
2021-10-16 09:12:26	ga_ls7e_ard_3-2-0_100073_2021-10-15_final
2021-10-27 08:52:53	ga_ls7e_ard_3-2-0_097073_2021-10-26_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
2021-11-03 08:59:13	ga_ls7e_ard_3-2-0_098075_2021-11-02_final
2021-11-30 08:42:04	ga_ls7e_ard_3-2-1_095085_2021-11-29_final
2021-12-04 08:15:47	ga_ls7e_ard_3-2-1_091082_2021-12-03_final
2021-12-11 08:20:30	ga_ls7e_ard_3-2-1_092080_2021-12-10_final
2021-12-13 08:11:56	ga_ls7e_ard_3-2-1_090090_2021-12-12_final
2022-01-08 08:40:04	ga_ls7e_ard_3-2-1_096074_2022-01-07_final
2022-01-08 10:20:32	ga_ls7e_ard_3-2-1_112078_2022-01-08_final
2022-01-10 08:31:55	ga_ls7e_ard_3-2-1_094085_2022-01-09_final
2022-01-18 09:17:48	ga_ls7e_ard_3-2-1_102078_2022-01-17_final
2022-01-30 09:42:57	ga_ls7e_ard_3-2-1_106082_2022-01-30_final
2022-02-02 10:13:09	ga_ls7e_ard_3-2-1_111081_2022-02-02_final
2022-02-04 08:23:18	ga_ls7e_ard_3-2-1_093085_2022-02-03_final
2022-02-06 09:45:38	ga_ls7e_ard_3-2-1_107075_2022-02-06_final
2022-02-08 09:34:15	ga_ls7e_ard_3-2-1_105078_2022-02-08_final
2022-02-10 09:21:41	ga_ls7e_ard_3-2-1_103078_2022-02-09_final
2022-02-27 08:23:36	ga_ls7e_ard_3-2-1_094076_2022-02-26_final
2022-03-14 09:14:57	ga_ls7e_ard_3-2-1_103069_2022-03-13_final
2022-03-15 09:59:42	ga_ls7e_ard_3-2-1_110073_2022-03-15_final
2022-03-24 09:55:51	ga_ls7e_ard_3-2-1_109081_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