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
1999-11-15 10:48:28	ga_ls7e_ard_3-1-0_106075_1999-11-15_final
2000-01-21 11:22:04	ga_ls7e_ard_3-1-0_111082_2000-01-21_final
2001-10-31 09:32:53	ga_ls7e_ard_3-1-0_094083_2001-10-31_final
2002-10-27 11:04:18	ga_ls7e_ard_3-1-0_109081_2002-10-27_final
2002-11-01 09:45:59	ga_ls7e_ard_3-1-0_096086_2002-11-01_final
2002-11-26 11:17:28	ga_ls7e_ard_3-1-0_111082_2002-11-26_final
2003-04-21 11:05:15	ga_ls7e_ard_3-1-0_109081_2003-04-21_final
2004-09-11 10:29:53	ga_ls7e_ard_3-1-0_104070_2004-09-11_final
2004-10-30 11:18:07	ga_ls7e_ard_3-1-0_111082_2004-10-30_final
2005-02-23 09:09:44	ga_ls7e_ard_3-1-0_091068_2005-02-22_final
2005-04-30 10:40:59	ga_ls7e_ard_3-1-0_105080_2005-04-30_final
2006-10-03 10:30:38	ga_ls7e_ard_3-1-0_104070_2006-10-03_final
2006-12-12 09:56:42	ga_ls7e_ard_3-1-0_098076_2006-12-12_final
2007-03-15 11:07:02	ga_ls7e_ard_3-1-0_109081_2007-03-15_final
2007-04-08 10:15:12	ga_ls7e_ard_3-1-0_101075_2007-04-08_final
2007-05-30 09:50:37	ga_ls7e_ard_3-1-0_097076_2007-05-30_final
2007-07-05 11:06:45	ga_ls7e_ard_3-1-0_109081_2007-07-05_final
2008-07-10 09:56:00	ga_ls7e_ard_3-1-0_098076_2008-07-10_final
2008-08-21 10:30:21	ga_ls7e_ard_3-1-0_104070_2008-08-21_final
2008-10-13 09:15:54	ga_ls7e_ard_3-1-0_091086_2008-10-12_final
2009-02-11 10:46:15	ga_ls7e_ard_3-1-0_106077_2009-02-11_final
2010-04-03 10:47:47	ga_ls7e_ard_3-1-0_106075_2010-04-03_final
2010-08-21 09:36:51	ga_ls7e_ard_3-1-0_094083_2010-08-21_final
2010-10-01 09:29:26	ga_ls7e_ard_3-1-0_093080_2010-09-30_final
2011-07-25 10:59:50	ga_ls7e_ard_3-1-0_108071_2011-07-25_final
2011-09-06 09:06:15	ga_ls7e_ard_3-1-0_089081_2011-09-05_final
2011-10-17 10:34:31	ga_ls7e_ard_3-1-0_104070_2011-10-17_final
2012-04-06 11:04:49	ga_ls7e_ard_3-1-0_108082_2012-04-06_final
2012-08-19 11:11:41	ga_ls7e_ard_3-1-0_109081_2012-08-19_final
2012-10-20 11:25:04	ga_ls7e_ard_3-1-0_111082_2012-10-20_final
2013-08-16 11:47:18	ga_ls7e_ard_3-1-0_115077_2013-08-16_final
2014-04-16 10:38:19	ga_ls7e_ard_3-1-0_104070_2014-04-16_final
2014-04-17 11:26:23	ga_ls7e_ard_3-1-0_111082_2014-04-17_final
2014-11-21 10:22:56	ga_ls7e_ard_3-1-0_101075_2014-11-21_final
2015-10-24 09:30:13	ga_ls7e_ard_3-1-0_092077_2015-10-24_final
2019-02-09 10:35:14	ga_ls7e_ard_3-1-0_104070_2019-02-09_final
2019-02-19 11:16:25	ga_ls7e_ard_3-1-0_110081_2019-02-19_final
2019-08-26 09:54:30	ga_ls7e_ard_3-1-0_098079_2019-08-26_final
2019-08-30 09:28:00	ga_ls7e_ard_3-1-0_094075_2019-08-29_final
2019-09-20 11:26:06	ga_ls7e_ard_3-1-0_113079_2019-09-20_final
2019-09-23 10:15:11	ga_ls7e_ard_3-1-0_102072_2019-09-23_final
2019-09-24 09:20:43	ga_ls7e_ard_3-1-0_093075_2019-09-23_final
2019-09-29 09:37:28	ga_ls7e_ard_3-1-0_096071_2019-09-29_final
2019-09-29 09:41:27	ga_ls7e_ard_3-1-0_096081_2019-09-29_final
2019-09-29 11:17:56	ga_ls7e_ard_3-1-0_112075_2019-09-29_final
2019-10-11 10:05:17	ga_ls7e_ard_3-1-0_100080_2019-10-11_final
2019-10-13 09:50:50	ga_ls7e_ard_3-1-0_098075_2019-10-13_final
2019-10-21 09:03:51	ga_ls7e_ard_3-1-0_090082_2019-10-20_final
2019-10-26 10:59:28	ga_ls7e_ard_3-1-0_109078_2019-10-26_final
2019-11-09 11:12:47	ga_ls7e_ard_3-1-0_111082_2019-11-09_final
2019-11-11 09:18:40	ga_ls7e_ard_3-1-0_093075_2019-11-10_final
2019-11-20 09:14:27	ga_ls7e_ard_3-1-0_092081_2019-11-19_final
2019-11-20 10:51:21	ga_ls7e_ard_3-1-0_108076_2019-11-20_final
2019-11-24 10:24:50	ga_ls7e_ard_3-1-0_104072_2019-11-24_final
2019-11-27 09:18:19	ga_ls7e_ard_3-1-0_093076_2019-11-26_final
2019-11-27 09:20:18	ga_ls7e_ard_3-1-0_093081_2019-11-26_final
2019-11-29 09:06:39	ga_ls7e_ard_3-1-0_091078_2019-11-28_final
2019-12-14 10:02:19	ga_ls7e_ard_3-1-0_100080_2019-12-14_final
2019-12-27 09:33:33	ga_ls7e_ard_3-1-0_095087_2019-12-27_final
2019-12-28 10:12:46	ga_ls7e_ard_3-1-0_102077_2019-12-28_final
2020-02-04 11:13:51	ga_ls7e_ard_3-1-0_112080_2020-02-04_final
2020-02-10 08:57:35	ga_ls7e_ard_3-1-0_090080_2020-02-09_final
2020-02-25 09:52:49	ga_ls7e_ard_3-1-0_099081_2020-02-25_final
2020-04-05 09:01:10	ga_ls7e_ard_3-1-0_091081_2020-04-04_final
2020-04-24 09:27:46	ga_ls7e_ard_3-1-0_096073_2020-04-23_final
2021-02-26 08:44:39	ga_ls7e_ard_3-2-0_092078_2021-02-25_final
2021-03-17 09:13:16	ga_ls7e_ard_3-2-0_097076_2021-03-16_final
2021-03-31 09:26:29	ga_ls7e_ard_3-2-0_099081_2021-03-30_final
2021-04-04 09:02:38	ga_ls7e_ard_3-2-0_095084_2021-04-03_final
2021-04-13 08:56:07	ga_ls7e_ard_3-2-0_094085_2021-04-12_final
2021-05-29 09:02:35	ga_ls7e_ard_3-2-0_096080_2021-05-28_final
2021-06-08 09:36:27	ga_ls7e_ard_3-2-0_102074_2021-06-08_final
2021-07-09 10:31:53	ga_ls7e_ard_3-2-0_111080_2021-07-09_final
2021-07-29 10:04:15	ga_ls7e_ard_3-2-0_107077_2021-07-29_final
2021-08-01 08:53:36	ga_ls7e_ard_3-2-0_096071_2021-07-31_final
2021-08-13 09:19:15	ga_ls7e_ard_3-2-0_100076_2021-08-12_final
2021-08-13 09:22:27	ga_ls7e_ard_3-2-0_100084_2021-08-12_final
2021-08-19 08:44:50	ga_ls7e_ard_3-2-0_094084_2021-08-18_final
2021-08-22 09:15:29	ga_ls7e_ard_3-2-0_099084_2021-08-21_final
2021-08-23 09:53:52	ga_ls7e_ard_3-2-0_106072_2021-08-23_final
2021-08-27 09:30:48	ga_ls7e_ard_3-2-0_102077_2021-08-27_final
2021-09-25 08:55:21	ga_ls7e_ard_3-2-0_097072_2021-09-24_final
2021-09-29 08:31:04	ga_ls7e_ard_3-2-0_093074_2021-09-28_final
2021-09-29 10:09:08	ga_ls7e_ard_3-2-0_109072_2021-09-29_final
2021-10-22 08:37:12	ga_ls7e_ard_3-2-0_094079_2021-10-21_final
2021-10-22 08:38:48	ga_ls7e_ard_3-2-0_094083_2021-10-21_final
2021-10-31 08:32:11	ga_ls7e_ard_3-2-0_093084_2021-10-30_final
2021-11-16 08:29:27	ga_ls7e_ard_3-2-1_093081_2021-11-15_final
2021-12-02 10:03:13	ga_ls7e_ard_3-2-1_109072_2021-12-02_final
2021-12-16 10:17:50	ga_ls7e_ard_3-2-1_111081_2021-12-16_final
2021-12-17 09:20:07	ga_ls7e_ard_3-2-1_102076_2021-12-16_final
2021-12-25 08:31:54	ga_ls7e_ard_3-2-1_094081_2021-12-24_final
2022-01-08 08:43:16	ga_ls7e_ard_3-2-1_096082_2022-01-07_final
2022-01-12 09:56:39	ga_ls7e_ard_3-2-1_108081_2022-01-12_final
2022-01-22 08:51:54	ga_ls7e_ard_3-2-1_098076_2022-01-21_final
2022-01-26 08:30:47	ga_ls7e_ard_3-2-1_094086_2022-01-25_final
2022-02-04 09:58:59	ga_ls7e_ard_3-2-1_109077_2022-02-04_final
2022-02-12 09:06:44	ga_ls7e_ard_3-2-1_101072_2022-02-11_final
2022-02-14 10:33:50	ga_ls7e_ard_3-2-1_115074_2022-02-14_final
2022-02-16 08:42:47	ga_ls7e_ard_3-2-1_097075_2022-02-15_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