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
1999-08-21 11:29:07	ga_ls7e_ard_3-1-0_112084_1999-08-21_final
1999-12-04 11:22:07	ga_ls7e_ard_3-1-0_111082_1999-12-04_final
2000-08-23 11:27:15	ga_ls7e_ard_3-1-0_112084_2000-08-23_final
2000-11-10 10:41:43	ga_ls7e_ard_3-1-0_105080_2000-11-10_final
2000-12-12 10:42:35	ga_ls7e_ard_3-1-0_105082_2000-12-12_final
2001-02-08 11:19:41	ga_ls7e_ard_3-1-0_111082_2001-02-08_final
2001-03-12 09:37:07	ga_ls7e_ard_3-1-0_095073_2001-03-12_final
2001-07-24 10:40:40	ga_ls7e_ard_3-1-0_105080_2001-07-24_final
2001-09-19 10:29:40	ga_ls7e_ard_3-1-0_104070_2001-09-19_final
2001-12-09 09:35:23	ga_ls7e_ard_3-1-0_095073_2001-12-09_final
2001-12-31 09:01:30	ga_ls7e_ard_3-1-0_089081_2001-12-30_final
2002-08-06 09:34:58	ga_ls7e_ard_3-1-0_095073_2002-08-06_final
2002-09-28 09:57:05	ga_ls7e_ard_3-1-0_098083_2002-09-28_final
2002-12-05 09:28:53	ga_ls7e_ard_3-1-0_094073_2002-12-04_final
2003-01-19 09:01:23	ga_ls7e_ard_3-1-0_089081_2003-01-18_final
2004-04-01 10:01:11	ga_ls7e_ard_3-1-0_099074_2004-04-01_final
2004-10-10 11:39:43	ga_ls7e_ard_3-1-0_115075_2004-10-10_final
2005-05-01 09:47:45	ga_ls7e_ard_3-1-0_096086_2005-05-01_final
2005-10-14 10:44:41	ga_ls7e_ard_3-1-0_106075_2005-10-14_final
2005-12-26 10:41:05	ga_ls7e_ard_3-1-0_105080_2005-12-26_final
2006-04-22 10:57:57	ga_ls7e_ard_3-1-0_108075_2006-04-22_final
2006-09-13 10:57:30	ga_ls7e_ard_3-1-0_108075_2006-09-13_final
2006-10-31 11:00:28	ga_ls7e_ard_3-1-0_108082_2006-10-31_final
2007-10-23 09:36:41	ga_ls7e_ard_3-1-0_095073_2007-10-23_final
2007-11-05 10:45:36	ga_ls7e_ard_3-1-0_106075_2007-11-05_final
2008-11-26 11:18:34	ga_ls7e_ard_3-1-0_111082_2008-11-26_final
2008-12-19 11:25:47	ga_ls7e_ard_3-1-0_112084_2008-12-19_final
2008-12-23 11:00:18	ga_ls7e_ard_3-1-0_108082_2008-12-23_final
2009-01-31 11:06:17	ga_ls7e_ard_3-1-0_109081_2009-01-31_final
2009-08-31 09:06:17	ga_ls7e_ard_3-1-0_089089_2009-08-30_final
2009-12-17 11:07:33	ga_ls7e_ard_3-1-0_109081_2009-12-17_final
2010-01-18 11:08:04	ga_ls7e_ard_3-1-0_109081_2010-01-18_final
2010-04-11 09:55:10	ga_ls7e_ard_3-1-0_098067_2010-04-11_final
2010-10-05 10:44:51	ga_ls7e_ard_3-1-0_105083_2010-10-05_final
2012-03-12 09:26:09	ga_ls7e_ard_3-1-0_093067_2012-03-11_final
2013-11-18 10:20:51	ga_ls7e_ard_3-1-0_101075_2013-11-18_final
2014-02-02 09:09:48	ga_ls7e_ard_3-1-0_089081_2014-02-01_final
2015-11-20 09:15:42	ga_ls7e_ard_3-1-0_089086_2015-11-19_final
2015-12-04 11:01:08	ga_ls7e_ard_3-1-0_107071_2015-12-04_final
2016-11-23 10:00:42	ga_ls7e_ard_3-1-0_096086_2016-11-23_final
2017-12-14 11:21:29	ga_ls7e_ard_3-1-0_110072_2017-12-14_final
2018-02-23 09:48:14	ga_ls7e_ard_3-1-0_095073_2018-02-23_final
2018-10-27 09:09:51	ga_ls7e_ard_3-1-0_089081_2018-10-26_final
2018-11-12 09:09:30	ga_ls7e_ard_3-1-0_089081_2018-11-11_final
2018-12-05 09:16:42	ga_ls7e_ard_3-1-0_090085_2018-12-04_final
2018-12-14 09:08:40	ga_ls7e_ard_3-1-0_089081_2018-12-13_final
2018-12-30 09:08:12	ga_ls7e_ard_3-1-0_089081_2018-12-29_final
2019-03-09 11:03:53	ga_ls7e_ard_3-1-0_108082_2019-03-09_final
2019-03-16 09:33:21	ga_ls7e_ard_3-1-0_093088_2019-03-16_final
2019-03-20 09:04:06	ga_ls7e_ard_3-1-0_089077_2019-03-19_final
2019-05-01 09:40:53	ga_ls7e_ard_3-1-0_095080_2019-05-01_final
2019-09-22 09:36:46	ga_ls7e_ard_3-1-0_095084_2019-09-22_final
2019-10-01 09:25:49	ga_ls7e_ard_3-1-0_094073_2019-09-30_final
2019-10-26 10:56:40	ga_ls7e_ard_3-1-0_109071_2019-10-26_final
2019-10-29 11:25:50	ga_ls7e_ard_3-1-0_114067_2019-10-29_final
2019-11-07 11:19:15	ga_ls7e_ard_3-1-0_113067_2019-11-07_final
2019-11-11 09:22:15	ga_ls7e_ard_3-1-0_093084_2019-11-10_final
2019-12-02 11:18:17	ga_ls7e_ard_3-1-0_112083_2019-12-02_final
2019-12-18 11:11:06	ga_ls7e_ard_3-1-0_112067_2019-12-18_final
2019-12-21 10:09:21	ga_ls7e_ard_3-1-0_101083_2019-12-21_final
2019-12-22 09:10:29	ga_ls7e_ard_3-1-0_092075_2019-12-21_final
2019-12-22 10:52:09	ga_ls7e_ard_3-1-0_108082_2019-12-22_final
2019-12-23 09:55:41	ga_ls7e_ard_3-1-0_099080_2019-12-23_final
2019-12-25 11:16:55	ga_ls7e_ard_3-1-0_113067_2019-12-25_final
2019-12-30 09:58:42	ga_ls7e_ard_3-1-0_100073_2019-12-30_final
2020-01-03 11:13:03	ga_ls7e_ard_3-1-0_112074_2020-01-03_final
2020-01-03 11:16:15	ga_ls7e_ard_3-1-0_112082_2020-01-03_final
2020-01-10 09:42:23	ga_ls7e_ard_3-1-0_097080_2020-01-10_final
2020-01-17 09:49:26	ga_ls7e_ard_3-1-0_098083_2020-01-17_final
2020-01-18 10:27:03	ga_ls7e_ard_3-1-0_105069_2020-01-18_final
2020-01-23 09:12:27	ga_ls7e_ard_3-1-0_092084_2020-01-22_final
2020-01-25 10:32:29	ga_ls7e_ard_3-1-0_106068_2020-01-25_final
2020-02-27 09:35:34	ga_ls7e_ard_3-1-0_097069_2020-02-27_final
2020-03-15 10:22:17	ga_ls7e_ard_3-1-0_104080_2020-03-15_final
2020-03-19 09:53:46	ga_ls7e_ard_3-1-0_100071_2020-03-19_final
2020-04-04 09:52:52	ga_ls7e_ard_3-1-0_100071_2020-04-04_final
2020-04-14 10:28:10	ga_ls7e_ard_3-1-0_106068_2020-04-14_final
2020-04-19 10:49:36	ga_ls7e_ard_3-1-0_109076_2020-04-19_final
2021-02-24 10:32:51	ga_ls7e_ard_3-2-0_110070_2021-02-24_final
2021-05-20 10:43:14	ga_ls7e_ard_3-2-0_113067_2021-05-20_final
2021-06-10 09:27:31	ga_ls7e_ard_3-2-0_100083_2021-06-09_final
2021-06-27 10:04:11	ga_ls7e_ard_3-2-0_107070_2021-06-27_final
2021-08-07 09:59:40	ga_ls7e_ard_3-2-0_106083_2021-08-07_final
2021-09-07 09:08:55	ga_ls7e_ard_3-2-0_099071_2021-09-06_final
2021-09-14 09:16:52	ga_ls7e_ard_3-2-0_100077_2021-09-13_final
2021-11-25 09:58:53	ga_ls7e_ard_3-2-1_108075_2021-11-25_final
2021-11-26 10:43:38	ga_ls7e_ard_3-2-1_115079_2021-11-26_final
2021-12-07 10:22:05	ga_ls7e_ard_3-2-1_112074_2021-12-07_final
2021-12-07 10:25:16	ga_ls7e_ard_3-2-1_112082_2021-12-07_final
2021-12-09 08:31:27	ga_ls7e_ard_3-2-1_094076_2021-12-08_final
2021-12-11 08:19:42	ga_ls7e_ard_3-2-1_092078_2021-12-10_final
2021-12-18 10:06:29	ga_ls7e_ard_3-2-1_109084_2021-12-18_final
2021-12-21 08:57:25	ga_ls7e_ard_3-2-1_098082_2021-12-20_final
2021-12-22 08:02:06	ga_ls7e_ard_3-2-1_089083_2021-12-21_final
2021-12-25 08:29:54	ga_ls7e_ard_3-2-1_094076_2021-12-24_final
2021-12-27 08:18:56	ga_ls7e_ard_3-2-1_092080_2021-12-26_final
2021-12-27 08:22:32	ga_ls7e_ard_3-2-1_092089_2021-12-26_final
2022-03-19 09:38:10	ga_ls7e_ard_3-2-1_106082_2022-03-19_final
2022-03-20 10:21:44	ga_ls7e_ard_3-2-1_113083_2022-03-20_final
2022-03-22 10:04:00	ga_ls7e_ard_3-2-1_111070_2022-03-22_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