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
1999-11-04 09:32:54	ga_ls7e_ard_3-1-0_093087_1999-11-04_final
2000-03-06 09:13:17	ga_ls7e_ard_3-1-0_090085_2000-03-05_final
2003-12-28 09:11:11	ga_ls7e_ard_3-1-0_090089_2003-12-27_final
2004-05-15 10:26:38	ga_ls7e_ard_3-1-0_103076_2004-05-15_final
2004-07-03 09:30:02	ga_ls7e_ard_3-1-0_094074_2004-07-03_final
2004-11-28 09:08:35	ga_ls7e_ard_3-1-0_090082_2004-11-27_final
2005-09-17 09:29:06	ga_ls7e_ard_3-1-0_093087_2005-09-16_final
2005-11-17 10:30:44	ga_ls7e_ard_3-1-0_104070_2005-11-17_final
2006-04-10 10:31:16	ga_ls7e_ard_3-1-0_104070_2006-04-10_final
2006-11-17 10:04:40	ga_ls7e_ard_3-1-0_099081_2006-11-17_final
2007-03-20 11:26:47	ga_ls7e_ard_3-1-0_112084_2007-03-20_final
2007-06-03 09:28:41	ga_ls7e_ard_3-1-0_093083_2007-06-02_final
2007-06-03 09:29:53	ga_ls7e_ard_3-1-0_093086_2007-06-02_final
2007-11-14 09:03:01	ga_ls7e_ard_3-1-0_089081_2007-11-13_final
2008-01-29 09:30:22	ga_ls7e_ard_3-1-0_093087_2008-01-29_final
2008-03-01 09:25:02	ga_ls7e_ard_3-1-0_093074_2008-02-29_final
2008-03-01 09:29:26	ga_ls7e_ard_3-1-0_093085_2008-02-29_final
2008-03-22 11:26:24	ga_ls7e_ard_3-1-0_112084_2008-03-22_final
2008-04-29 09:11:58	ga_ls7e_ard_3-1-0_090088_2008-04-28_final
2008-06-16 09:10:25	ga_ls7e_ard_3-1-0_090085_2008-06-15_final
2008-09-25 09:28:50	ga_ls7e_ard_3-1-0_093087_2008-09-24_final
2009-06-24 09:30:02	ga_ls7e_ard_3-1-0_093086_2009-06-24_final
2009-09-09 10:31:24	ga_ls7e_ard_3-1-0_104070_2009-09-09_final
2009-09-16 09:06:16	ga_ls7e_ard_3-1-0_089089_2009-09-15_final
2009-11-20 11:22:56	ga_ls7e_ard_3-1-0_112074_2009-11-20_final
2009-11-26 09:10:14	ga_ls7e_ard_3-1-0_090082_2009-11-25_final
2009-12-14 10:32:12	ga_ls7e_ard_3-1-0_104070_2009-12-14_final
2011-06-18 09:09:41	ga_ls7e_ard_3-1-0_089089_2011-06-17_final
2011-06-19 11:29:49	ga_ls7e_ard_3-1-0_112084_2011-06-19_final
2011-09-02 09:33:23	ga_ls7e_ard_3-1-0_093087_2011-09-02_final
2011-12-07 09:33:48	ga_ls7e_ard_3-1-0_093087_2011-12-07_final
2012-02-20 09:14:50	ga_ls7e_ard_3-1-0_090085_2012-02-19_final
2012-08-07 09:07:57	ga_ls7e_ard_3-1-0_089081_2012-08-06_final
2012-09-27 09:40:11	ga_ls7e_ard_3-1-0_094083_2012-09-27_final
2012-10-27 11:28:06	ga_ls7e_ard_3-1-0_112074_2012-10-27_final
2012-12-29 09:09:04	ga_ls7e_ard_3-1-0_089081_2012-12-28_final
2013-01-05 09:16:51	ga_ls7e_ard_3-1-0_090085_2013-01-04_final
2013-12-07 09:17:02	ga_ls7e_ard_3-1-0_090085_2013-12-06_final
2014-02-25 09:17:24	ga_ls7e_ard_3-1-0_090085_2014-02-24_final
2014-12-31 09:38:31	ga_ls7e_ard_3-1-0_093087_2014-12-31_final
2016-01-14 09:21:06	ga_ls7e_ard_3-1-0_090082_2016-01-13_final
2017-07-21 11:34:55	ga_ls7e_ard_3-1-0_112074_2017-07-21_final
2017-10-01 10:43:49	ga_ls7e_ard_3-1-0_104070_2017-10-01_final
2017-12-23 09:42:18	ga_ls7e_ard_3-1-0_093087_2017-12-23_final
2019-02-17 11:26:50	ga_ls7e_ard_3-1-0_112076_2019-02-17_final
2019-02-17 11:29:38	ga_ls7e_ard_3-1-0_112083_2019-02-17_final
2019-03-02 10:54:44	ga_ls7e_ard_3-1-0_107074_2019-03-02_final
2019-03-05 11:28:44	ga_ls7e_ard_3-1-0_112082_2019-03-05_final
2019-03-13 10:39:02	ga_ls7e_ard_3-1-0_104082_2019-03-13_final
2019-03-21 11:28:37	ga_ls7e_ard_3-1-0_112083_2019-03-21_final
2019-03-22 10:28:58	ga_ls7e_ard_3-1-0_103073_2019-03-22_final
2019-03-26 10:08:06	ga_ls7e_ard_3-1-0_099083_2019-03-26_final
2019-03-28 11:33:21	ga_ls7e_ard_3-1-0_113080_2019-03-28_final
2019-09-02 09:56:23	ga_ls7e_ard_3-1-0_099069_2019-09-02_final
2019-09-02 10:01:58	ga_ls7e_ard_3-1-0_099083_2019-09-02_final
2019-09-03 09:08:42	ga_ls7e_ard_3-1-0_090089_2019-09-02_final
2019-09-04 11:28:24	ga_ls7e_ard_3-1-0_113083_2019-09-04_final
2019-09-10 10:46:16	ga_ls7e_ard_3-1-0_107071_2019-09-10_final
2019-09-10 10:47:28	ga_ls7e_ard_3-1-0_107074_2019-09-10_final
2019-09-18 09:56:29	ga_ls7e_ard_3-1-0_099071_2019-09-18_final
2019-09-19 09:08:24	ga_ls7e_ard_3-1-0_090090_2019-09-18_final
2019-09-28 09:00:14	ga_ls7e_ard_3-1-0_089086_2019-09-27_final
2019-10-01 09:25:49	ga_ls7e_ard_3-1-0_094073_2019-09-30_final
2019-10-06 11:27:25	ga_ls7e_ard_3-1-0_113084_2019-10-06_final
2019-10-15 11:19:40	ga_ls7e_ard_3-1-0_112081_2019-10-15_final
2019-10-20 09:59:55	ga_ls7e_ard_3-1-0_099083_2019-10-20_final
2019-10-21 09:06:15	ga_ls7e_ard_3-1-0_090088_2019-10-20_final
2019-10-22 11:23:09	ga_ls7e_ard_3-1-0_113075_2019-10-22_final
2019-10-27 10:01:48	ga_ls7e_ard_3-1-0_100073_2019-10-27_final
2019-11-05 09:59:36	ga_ls7e_ard_3-1-0_099084_2019-11-05_final
2019-11-11 10:55:33	ga_ls7e_ard_3-1-0_109070_2019-11-11_final
2019-11-16 11:16:15	ga_ls7e_ard_3-1-0_112076_2019-11-16_final
2019-11-21 09:52:29	ga_ls7e_ard_3-1-0_099068_2019-11-21_final
2019-12-03 10:19:01	ga_ls7e_ard_3-1-0_103074_2019-12-03_final
2019-12-13 09:21:07	ga_ls7e_ard_3-1-0_093085_2019-12-12_final
2019-12-13 10:54:00	ga_ls7e_ard_3-1-0_109070_2019-12-13_final
2019-12-15 10:47:08	ga_ls7e_ard_3-1-0_107084_2019-12-15_final
2019-12-17 08:56:11	ga_ls7e_ard_3-1-0_089085_2019-12-16_final
2019-12-24 09:01:13	ga_ls7e_ard_3-1-0_090083_2019-12-23_final
2019-12-24 09:01:37	ga_ls7e_ard_3-1-0_090084_2019-12-23_final
2019-12-26 10:23:38	ga_ls7e_ard_3-1-0_104073_2019-12-26_final
2019-12-29 09:19:53	ga_ls7e_ard_3-1-0_093084_2019-12-28_final
2020-01-14 09:15:53	ga_ls7e_ard_3-1-0_093076_2020-01-13_final
2020-01-26 11:18:29	ga_ls7e_ard_3-1-0_113075_2020-01-26_final
2020-01-30 09:14:41	ga_ls7e_ard_3-1-0_093075_2020-01-29_final
2020-01-31 09:59:54	ga_ls7e_ard_3-1-0_100080_2020-01-31_final
2020-02-06 09:25:18	ga_ls7e_ard_3-1-0_094087_2020-02-05_final
2020-02-09 09:54:51	ga_ls7e_ard_3-1-0_099084_2020-02-09_final
2020-02-16 09:57:29	ga_ls7e_ard_3-1-0_100076_2020-02-16_final
2020-03-24 10:12:25	ga_ls7e_ard_3-1-0_103072_2020-03-24_final
2020-03-24 10:15:37	ga_ls7e_ard_3-1-0_103080_2020-03-24_final
2020-04-05 10:37:39	ga_ls7e_ard_3-1-0_107075_2020-04-05_final
2020-04-13 09:46:34	ga_ls7e_ard_3-1-0_099072_2020-04-13_final
2020-04-19 09:14:43	ga_ls7e_ard_3-1-0_093086_2020-04-18_final
2020-04-19 09:15:31	ga_ls7e_ard_3-1-0_093088_2020-04-18_final
2020-04-20 09:51:56	ga_ls7e_ard_3-1-0_100071_2020-04-20_final
2022-03-18 10:31:29	ga_ls7e_ard_3-2-1_115076_2022-03-18_final
2022-03-24 08:18:10	ga_ls7e_ard_3-2-1_093084_2022-03-23_final
2022-03-26 09:44:06	ga_ls7e_ard_3-2-1_107083_2022-03-26_final
2022-04-02 08:07:56	ga_ls7e_ard_3-2-1_092076_2022-04-01_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