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
1999-10-10 11:12:08	ga_ls7e_ard_3-1-0_110072_1999-10-10_final
2000-11-17 09:11:02	ga_ls7e_ard_3-1-0_090085_2000-11-16_final
2002-01-06 10:01:01	ga_ls7e_ard_3-1-0_099075_2002-01-06_final
2002-05-20 11:05:14	ga_ls7e_ard_3-1-0_109081_2002-05-20_final
2002-09-30 11:23:59	ga_ls7e_ard_3-1-0_112084_2002-09-30_final
2002-10-18 11:06:51	ga_ls7e_ard_3-1-0_110072_2002-10-18_final
2003-07-30 09:01:22	ga_ls7e_ard_3-1-0_089081_2003-07-29_final
2003-10-14 09:28:10	ga_ls7e_ard_3-1-0_093087_2003-10-13_final
2005-05-04 10:14:17	ga_ls7e_ard_3-1-0_101075_2005-05-04_final
2006-03-12 11:06:37	ga_ls7e_ard_3-1-0_109081_2006-03-12_final
2006-09-11 09:34:11	ga_ls7e_ard_3-1-0_094083_2006-09-11_final
2006-12-03 10:04:49	ga_ls7e_ard_3-1-0_099081_2006-12-03_final
2007-01-22 11:31:06	ga_ls7e_ard_3-1-0_113080_2007-01-22_final
2007-05-10 10:15:05	ga_ls7e_ard_3-1-0_101075_2007-05-10_final
2007-08-10 09:02:59	ga_ls7e_ard_3-1-0_089081_2007-08-09_final
2007-12-28 11:06:52	ga_ls7e_ard_3-1-0_109081_2007-12-28_final
2008-02-02 09:03:14	ga_ls7e_ard_3-1-0_089081_2008-02-01_final
2008-03-01 09:27:26	ga_ls7e_ard_3-1-0_093080_2008-02-29_final
2008-05-15 09:10:41	ga_ls7e_ard_3-1-0_090085_2008-05-14_final
2009-09-16 09:03:04	ga_ls7e_ard_3-1-0_089081_2009-09-15_final
2010-01-31 10:32:58	ga_ls7e_ard_3-1-0_104070_2010-01-31_final
2010-06-06 09:12:50	ga_ls7e_ard_3-1-0_090085_2010-06-05_final
2010-08-26 09:52:37	ga_ls7e_ard_3-1-0_097076_2010-08-26_final
2011-01-01 09:53:32	ga_ls7e_ard_3-1-0_097076_2011-01-01_final
2011-01-21 11:11:03	ga_ls7e_ard_3-1-0_109084_2011-01-21_final
2011-02-03 10:34:38	ga_ls7e_ard_3-1-0_104070_2011-02-03_final
2011-07-20 09:06:25	ga_ls7e_ard_3-1-0_089081_2011-07-19_final
2011-11-16 09:14:16	ga_ls7e_ard_3-1-0_090085_2011-11-15_final
2012-03-12 09:32:32	ga_ls7e_ard_3-1-0_093083_2012-03-12_final
2012-05-23 10:19:18	ga_ls7e_ard_3-1-0_101075_2012-05-23_final
2014-01-29 09:36:52	ga_ls7e_ard_3-1-0_093087_2014-01-29_final
2014-06-14 10:22:05	ga_ls7e_ard_3-1-0_101075_2014-06-14_final
2015-04-10 09:12:06	ga_ls7e_ard_3-1-0_089081_2015-04-09_final
2015-11-13 10:41:54	ga_ls7e_ard_3-1-0_104070_2015-11-13_final
2016-01-11 10:26:15	ga_ls7e_ard_3-1-0_101075_2016-01-11_final
2016-09-19 09:15:38	ga_ls7e_ard_3-1-0_089081_2016-09-18_final
2017-01-05 09:42:17	ga_ls7e_ard_3-1-0_093087_2017-01-05_final
2018-05-01 10:21:21	ga_ls7e_ard_3-1-0_100081_2018-05-01_final
2018-09-09 09:10:58	ga_ls7e_ard_3-1-0_089081_2018-09-08_final
2019-01-24 10:35:44	ga_ls7e_ard_3-1-0_104070_2019-01-24_final
2019-02-19 09:37:32	ga_ls7e_ard_3-1-0_094081_2019-02-19_final
2019-02-22 10:06:20	ga_ls7e_ard_3-1-0_099076_2019-02-22_final
2019-03-13 10:35:50	ga_ls7e_ard_3-1-0_104074_2019-03-13_final
2019-03-16 09:31:45	ga_ls7e_ard_3-1-0_093084_2019-03-16_final
2019-03-16 11:05:03	ga_ls7e_ard_3-1-0_109070_2019-03-16_final
2019-03-17 10:11:47	ga_ls7e_ard_3-1-0_100076_2019-03-17_final
2019-03-17 10:14:35	ga_ls7e_ard_3-1-0_100083_2019-03-17_final
2019-03-19 11:37:51	ga_ls7e_ard_3-1-0_114075_2019-03-19_final
2019-08-03 09:47:41	ga_ls7e_ard_3-1-0_097075_2019-08-03_final
2019-08-23 11:00:12	ga_ls7e_ard_3-1-0_109073_2019-08-23_final
2019-08-28 11:22:08	ga_ls7e_ard_3-1-0_112082_2019-08-28_final
2019-09-04 09:47:32	ga_ls7e_ard_3-1-0_097078_2019-09-04_final
2019-09-11 11:31:05	ga_ls7e_ard_3-1-0_114075_2019-09-11_final
2019-09-12 09:00:08	ga_ls7e_ard_3-1-0_089084_2019-09-11_final
2019-09-19 09:05:36	ga_ls7e_ard_3-1-0_090083_2019-09-18_final
2019-09-29 11:21:32	ga_ls7e_ard_3-1-0_112084_2019-09-29_final
2019-10-05 09:03:20	ga_ls7e_ard_3-1-0_090079_2019-10-04_final
2019-10-07 10:27:22	ga_ls7e_ard_3-1-0_104073_2019-10-07_final
2019-10-11 10:02:05	ga_ls7e_ard_3-1-0_100072_2019-10-11_final
2019-10-22 11:25:57	ga_ls7e_ard_3-1-0_113082_2019-10-22_final
2019-10-26 09:19:23	ga_ls7e_ard_3-1-0_093075_2019-10-25_final
2019-11-02 09:27:39	ga_ls7e_ard_3-1-0_094081_2019-11-01_final
2019-11-13 10:47:05	ga_ls7e_ard_3-1-0_107080_2019-11-13_final
2019-11-18 09:28:31	ga_ls7e_ard_3-1-0_094085_2019-11-17_final
2019-11-18 11:05:24	ga_ls7e_ard_3-1-0_110080_2019-11-18_final
2019-11-18 11:06:12	ga_ls7e_ard_3-1-0_110082_2019-11-18_final
2019-11-28 10:00:19	ga_ls7e_ard_3-1-0_100073_2019-11-28_final
2019-12-04 09:23:21	ga_ls7e_ard_3-1-0_094074_2019-12-03_final
2019-12-07 09:56:54	ga_ls7e_ard_3-1-0_099081_2019-12-07_final
2019-12-09 11:23:43	ga_ls7e_ard_3-1-0_113082_2019-12-09_final
2019-12-10 10:23:15	ga_ls7e_ard_3-1-0_104070_2019-12-10_final
2019-12-10 10:26:03	ga_ls7e_ard_3-1-0_104077_2019-12-10_final
2019-12-19 10:21:25	ga_ls7e_ard_3-1-0_103082_2019-12-19_final
2019-12-20 09:27:20	ga_ls7e_ard_3-1-0_094086_2019-12-19_final
2019-12-20 11:03:01	ga_ls7e_ard_3-1-0_110078_2019-12-20_final
2019-12-25 09:42:25	ga_ls7e_ard_3-1-0_097078_2019-12-25_final
2019-12-31 10:41:55	ga_ls7e_ard_3-1-0_107073_2019-12-31_final
2019-12-31 10:43:31	ga_ls7e_ard_3-1-0_107077_2019-12-31_final
2019-12-31 10:44:42	ga_ls7e_ard_3-1-0_107080_2019-12-31_final
2020-01-05 11:04:11	ga_ls7e_ard_3-1-0_110083_2020-01-05_final
2020-01-06 10:04:31	ga_ls7e_ard_3-1-0_101073_2020-01-06_final
2020-01-17 11:25:31	ga_ls7e_ard_3-1-0_114076_2020-01-17_final
2020-01-20 10:17:23	ga_ls7e_ard_3-1-0_103076_2020-01-20_final
2020-01-26 11:22:05	ga_ls7e_ard_3-1-0_113084_2020-01-26_final
2020-02-06 11:00:12	ga_ls7e_ard_3-1-0_110077_2020-02-06_final
2020-02-07 10:04:55	ga_ls7e_ard_3-1-0_101078_2020-02-07_final
2020-02-26 08:58:20	ga_ls7e_ard_3-1-0_090084_2020-02-25_final
2020-03-06 08:51:17	ga_ls7e_ard_3-1-0_089083_2020-03-05_final
2020-03-09 10:56:07	ga_ls7e_ard_3-1-0_110071_2020-03-09_final
2020-03-18 10:49:26	ga_ls7e_ard_3-1-0_109071_2020-03-18_final
2020-03-25 10:55:37	ga_ls7e_ard_3-1-0_110072_2020-03-25_final
2020-03-31 10:19:00	ga_ls7e_ard_3-1-0_104074_2020-03-31_final
2020-04-08 11:11:35	ga_ls7e_ard_3-1-0_112083_2020-04-08_final
2020-04-14 08:55:40	ga_ls7e_ard_3-1-0_090084_2020-04-13_final
2020-04-15 11:17:45	ga_ls7e_ard_3-1-0_113084_2020-04-15_final
2020-04-16 10:18:05	ga_ls7e_ard_3-1-0_104074_2020-04-16_final
2020-04-24 11:09:51	ga_ls7e_ard_3-1-0_112081_2020-04-24_final
2022-03-24 08:14:34	ga_ls7e_ard_3-2-1_093075_2022-03-23_final
2022-03-27 10:24:52	ga_ls7e_ard_3-2-1_114077_2022-03-27_final
2022-03-31 09:59:46	ga_ls7e_ard_3-2-1_110077_2022-03-31_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