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
1999-08-14 09:43:40	ga_ls7e_ard_3-0-0_095083_1999-08-14_final
1999-09-15 09:39:38	ga_ls7e_ard_3-1-0_095073_1999-09-15_final
1999-10-17 09:42:56	ga_ls7e_ard_3-0-0_095081_1999-10-17_final
2000-05-24 11:43:58	ga_ls7e_ard_3-1-0_115077_2000-05-24_final
2001-01-07 09:40:50	ga_ls7e_ard_3-0-0_095082_2001-01-07_final
2001-05-15 09:34:17	ga_ls7e_ard_3-0-0_095067_2001-05-15_final
2002-07-05 09:32:50	ga_ls7e_ard_3-0-0_095067_2002-07-05_final
2002-09-07 09:35:11	ga_ls7e_ard_3-0-0_095074_2002-09-07_final
2003-02-14 09:39:52	ga_ls7e_ard_3-0-0_095084_2003-02-14_final
2003-09-26 09:35:47	ga_ls7e_ard_3-0-0_095075_2003-09-26_final
2003-10-12 09:35:41	ga_ls7e_ard_3-0-0_095075_2003-10-12_final
2005-05-26 09:39:11	ga_ls7e_ard_3-0-0_095080_2005-05-26_final
2005-07-13 09:37:01	ga_ls7e_ard_3-0-0_095075_2005-07-13_final
2005-12-20 09:41:13	ga_ls7e_ard_3-0-0_095085_2005-12-20_final
2008-03-31 09:40:08	ga_ls7e_ard_3-0-0_095081_2008-03-31_final
2008-04-16 09:40:31	ga_ls7e_ard_3-0-0_095082_2008-04-16_final
2008-08-06 09:40:01	ga_ls7e_ard_3-0-0_095083_2008-08-06_final
2008-11-10 09:40:40	ga_ls7e_ard_3-0-0_095085_2008-11-10_final
2008-12-28 09:39:12	ga_ls7e_ard_3-0-0_095080_2008-12-28_final
2008-12-28 09:40:23	ga_ls7e_ard_3-0-0_095083_2008-12-28_final
2009-01-29 09:39:21	ga_ls7e_ard_3-0-0_095080_2009-01-29_final
2009-12-15 09:40:35	ga_ls7e_ard_3-0-0_095080_2009-12-15_final
2010-07-27 09:44:37	ga_ls7e_ard_3-0-0_095087_2010-07-27_final
2010-12-02 09:41:43	ga_ls7e_ard_3-0-0_095078_2010-12-02_final
2011-01-03 09:43:59	ga_ls7e_ard_3-0-0_095083_2011-01-03_final
2011-01-19 09:42:55	ga_ls7e_ard_3-0-0_095080_2011-01-19_final
2011-02-20 09:45:04	ga_ls7e_ard_3-0-0_095085_2011-02-20_final
2011-04-25 09:44:48	ga_ls7e_ard_3-0-0_095084_2011-04-25_final
2011-10-02 09:43:15	ga_ls7e_ard_3-0-0_095081_2011-10-02_final
2012-08-17 09:42:45	ga_ls7e_ard_3-0-0_095075_2012-08-17_final
2012-10-04 09:46:25	ga_ls7e_ard_3-0-0_095083_2012-10-04_final
2012-11-05 09:45:50	ga_ls7e_ard_3-0-0_095081_2012-11-05_final
2012-12-23 09:46:56	ga_ls7e_ard_3-0-0_095083_2012-12-23_final
2013-11-24 09:46:38	ga_ls7e_ard_3-0-0_095082_2013-11-24_final
2014-02-12 09:48:01	ga_ls7e_ard_3-0-0_095084_2014-02-12_final
2014-03-15 09:03:59	ga_ls7e_ard_3-0-0_088082_2014-03-14_final
2014-04-01 09:48:10	ga_ls7e_ard_3-0-0_095084_2014-04-01_final
2014-11-27 09:50:18	ga_ls7e_ard_3-0-0_095086_2014-11-27_final
2014-11-27 09:50:42	ga_ls7e_ard_3-0-0_095087_2014-11-27_final
2014-12-29 09:48:06	ga_ls7e_ard_3-0-0_095080_2014-12-29_final
2015-09-27 09:50:46	ga_ls7e_ard_3-0-0_095083_2015-09-27_final
2016-12-18 09:53:13	ga_ls7e_ard_3-0-0_095083_2016-12-18_final
2017-07-26 11:55:03	ga_ls7e_ard_3-0-0_115078_2017-07-26_final
2017-10-18 09:53:26	ga_ls7e_ard_3-0-0_095083_2017-10-18_final
2019-05-17 09:43:03	ga_ls7e_ard_3-0-0_095087_2019-05-17_final
2019-12-07 11:33:47	ga_ls7e_ard_3-1-0_115076_2019-12-07_final
2020-04-29 11:26:30	ga_ls7e_ard_3-1-0_115077_2020-04-29_final
2020-05-15 11:25:07	ga_ls7e_ard_3-1-0_115076_2020-05-15_final
2020-07-02 11:23:28	ga_ls7e_ard_3-1-0_115079_2020-07-02_final
2020-07-06 09:20:01	ga_ls7e_ard_3-1-0_095080_2020-07-05_final
2020-12-13 09:11:04	ga_ls7e_ard_3-1-0_095084_2020-12-12_final
2021-02-10 10:24:45	ga_ls7e_ard_3-2-0_108078_2021-02-10_final
2021-02-20 11:01:28	ga_ls7e_ard_3-2-0_114079_2021-02-20_final
2021-02-21 10:04:59	ga_ls7e_ard_3-2-0_105077_2021-02-21_final
2021-02-23 09:52:52	ga_ls7e_ard_3-2-0_103078_2021-02-23_final
2021-03-01 09:13:44	ga_ls7e_ard_3-2-0_097074_2021-02-28_final
2021-03-05 08:52:41	ga_ls7e_ard_3-2-0_093084_2021-03-04_final
2021-03-19 09:01:09	ga_ls7e_ard_3-2-0_095077_2021-03-18_final
2021-03-26 09:04:22	ga_ls7e_ard_3-2-0_096071_2021-03-25_final
2021-04-01 08:29:36	ga_ls7e_ard_3-2-0_090078_2021-03-31_final
2021-04-12 09:49:01	ga_ls7e_ard_3-2-0_103078_2021-04-12_final
2021-04-15 08:41:59	ga_ls7e_ard_3-2-0_092081_2021-04-14_final
2021-04-30 09:32:45	ga_ls7e_ard_3-2-0_101072_2021-04-30_final
2021-05-03 08:29:42	ga_ls7e_ard_3-2-0_090085_2021-05-02_final
2021-05-09 09:26:37	ga_ls7e_ard_3-2-0_100074_2021-05-08_final
2021-05-09 09:28:37	ga_ls7e_ard_3-2-0_100079_2021-05-08_final
2021-05-10 08:32:30	ga_ls7e_ard_3-2-0_091078_2021-05-09_final
2021-05-18 09:20:28	ga_ls7e_ard_3-2-0_099076_2021-05-17_final
2021-05-23 09:36:35	ga_ls7e_ard_3-2-0_102071_2021-05-23_final
2021-05-30 09:44:58	ga_ls7e_ard_3-2-0_103078_2021-05-30_final
2021-07-20 10:09:37	ga_ls7e_ard_3-2-0_108073_2021-07-20_final
2021-08-14 10:01:14	ga_ls7e_ard_3-2-0_107073_2021-08-14_final
2021-08-17 10:34:39	ga_ls7e_ard_3-2-0_112080_2021-08-17_final
2021-08-24 10:40:38	ga_ls7e_ard_3-2-0_113081_2021-08-24_final
2021-09-01 08:10:26	ga_ls7e_ard_3-2-0_089078_2021-08-31_final
2021-09-13 10:10:59	ga_ls7e_ard_3-2-0_109073_2021-09-13_final
2021-10-01 09:56:36	ga_ls7e_ard_3-2-0_107072_2021-10-01_final
2021-10-08 10:06:10	ga_ls7e_ard_3-2-0_108082_2021-10-08_final
2021-11-04 08:05:54	ga_ls7e_ard_3-2-0_089081_2021-11-03_final
2021-11-22 09:25:52	ga_ls7e_ard_3-2-1_103069_2021-11-21_final
2021-12-02 08:26:20	ga_ls7e_ard_3-2-1_093077_2021-12-01_final
2021-12-04 09:51:04	ga_ls7e_ard_3-2-1_107073_2021-12-04_final
2021-12-11 10:00:10	ga_ls7e_ard_3-2-1_108082_2021-12-11_final
2021-12-14 08:51:07	ga_ls7e_ard_3-2-1_097080_2021-12-13_final
2021-12-21 10:33:06	ga_ls7e_ard_3-2-1_114074_2021-12-21_final
2021-12-29 09:45:15	ga_ls7e_ard_3-2-1_106080_2021-12-29_final
2021-12-29 09:45:39	ga_ls7e_ard_3-2-1_106081_2021-12-29_final
2022-01-01 08:37:22	ga_ls7e_ard_3-2-1_095081_2021-12-31_final
2022-01-05 09:50:43	ga_ls7e_ard_3-2-1_107080_2022-01-05_final
2022-01-06 08:55:48	ga_ls7e_ard_3-2-1_098082_2022-01-05_final
2022-01-12 09:56:15	ga_ls7e_ard_3-2-1_108080_2022-01-12_final
2022-01-14 09:42:54	ga_ls7e_ard_3-2-1_106078_2022-01-14_final
2022-01-19 10:02:58	ga_ls7e_ard_3-2-1_109083_2022-01-19_final
2022-01-28 08:15:26	ga_ls7e_ard_3-2-1_092079_2022-01-27_final
2022-02-10 09:22:29	ga_ls7e_ard_3-2-1_103080_2022-02-09_final
2022-02-27 08:23:36	ga_ls7e_ard_3-2-1_094076_2022-02-26_final
2022-03-09 09:02:54	ga_ls7e_ard_3-2-1_100084_2022-03-08_final
2022-03-12 07:55:01	ga_ls7e_ard_3-2-1_089085_2022-03-11_final
2022-03-26 09:39:42	ga_ls7e_ard_3-2-1_107072_2022-03-26_final
2022-03-26 09:43:42	ga_ls7e_ard_3-2-1_107082_2022-03-26_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