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
2000-08-09 11:10:10	ga_ls7e_ard_3-1-0_110072_2000-08-09_final
2000-11-04 09:37:09	ga_ls7e_ard_3-1-0_095073_2000-11-04_final
2003-01-29 11:17:47	ga_ls7e_ard_3-1-0_111082_2003-01-29_final
2003-02-14 09:35:29	ga_ls7e_ard_3-1-0_095073_2003-02-14_final
2003-09-19 11:07:20	ga_ls7e_ard_3-1-0_110072_2003-09-19_final
2004-01-06 09:05:02	ga_ls7e_ard_3-1-0_089089_2004-01-05_final
2004-09-09 09:09:22	ga_ls7e_ard_3-1-0_090085_2004-09-08_final
2005-07-22 09:30:02	ga_ls7e_ard_3-1-0_094073_2005-07-22_final
2005-08-08 10:14:03	ga_ls7e_ard_3-1-0_101075_2005-08-08_final
2005-10-19 11:05:42	ga_ls7e_ard_3-1-0_109081_2005-10-19_final
2006-03-28 09:30:07	ga_ls7e_ard_3-1-0_093087_2006-03-28_final
2006-11-23 09:30:02	ga_ls7e_ard_3-1-0_093087_2006-11-23_final
2007-05-09 11:09:31	ga_ls7e_ard_3-1-0_110072_2007-05-09_final
2007-08-17 09:10:43	ga_ls7e_ard_3-1-0_090085_2007-08-16_final
2009-02-05 09:47:58	ga_ls7e_ard_3-1-0_096086_2009-02-05_final
2009-03-07 09:59:01	ga_ls7e_ard_3-1-0_098082_2009-03-07_final
2009-09-05 11:00:54	ga_ls7e_ard_3-1-0_108082_2009-09-05_final
2009-12-19 09:18:20	ga_ls7e_ard_3-1-0_091086_2009-12-18_final
2010-05-26 11:08:38	ga_ls7e_ard_3-1-0_109081_2010-05-26_final
2010-09-15 11:08:48	ga_ls7e_ard_3-1-0_109081_2010-09-15_final
2011-09-02 09:33:23	ga_ls7e_ard_3-1-0_093087_2011-09-02_final
2011-09-11 09:25:33	ga_ls7e_ard_3-1-0_092083_2011-09-10_final
2011-12-21 09:40:42	ga_ls7e_ard_3-1-0_095073_2011-12-21_final
2012-08-11 10:19:46	ga_ls7e_ard_3-1-0_101075_2012-08-11_final
2013-04-27 10:51:30	ga_ls7e_ard_3-1-0_106075_2013-04-27_final
2013-05-07 09:54:03	ga_ls7e_ard_3-1-0_096086_2013-05-07_final
2014-09-15 09:55:50	ga_ls7e_ard_3-1-0_096086_2014-09-15_final
2014-11-27 09:45:07	ga_ls7e_ard_3-1-0_095073_2014-11-27_final
2015-05-02 11:51:19	ga_ls7e_ard_3-1-0_115077_2015-05-02_final
2015-07-14 10:07:52	ga_ls7e_ard_3-1-0_098080_2015-07-14_final
2015-08-05 11:10:32	ga_ls7e_ard_3-1-0_108082_2015-08-05_final
2016-12-18 11:31:42	ga_ls7e_ard_3-1-0_111082_2016-12-18_final
2017-03-15 10:00:21	ga_ls7e_ard_3-1-0_096086_2017-03-15_final
2017-07-23 11:21:46	ga_ls7e_ard_3-1-0_110072_2017-07-23_final
2018-08-11 11:17:45	ga_ls7e_ard_3-1-0_110072_2018-08-11_final
2019-02-15 10:01:58	ga_ls7e_ard_3-1-0_098080_2019-02-15_final
2019-02-19 09:39:07	ga_ls7e_ard_3-1-0_094085_2019-02-19_final
2019-02-27 10:21:56	ga_ls7e_ard_3-1-0_102069_2019-02-27_final
2019-03-16 09:32:57	ga_ls7e_ard_3-1-0_093087_2019-03-16_final
2019-03-23 09:38:54	ga_ls7e_ard_3-1-0_094087_2019-03-23_final
2019-03-27 10:50:56	ga_ls7e_ard_3-1-0_106082_2019-03-27_final
2019-03-29 10:35:18	ga_ls7e_ard_3-1-0_104074_2019-03-29_final
2019-08-02 09:05:15	ga_ls7e_ard_3-1-0_090077_2019-08-01_final
2019-08-30 09:32:00	ga_ls7e_ard_3-1-0_094085_2019-08-30_final
2019-09-10 09:13:23	ga_ls7e_ard_3-1-0_091086_2019-09-09_final
2019-09-12 10:37:49	ga_ls7e_ard_3-1-0_105081_2019-09-12_final
2019-09-13 09:43:21	ga_ls7e_ard_3-1-0_096084_2019-09-13_final
2019-09-19 09:03:12	ga_ls7e_ard_3-1-0_090077_2019-09-18_final
2019-10-03 10:53:27	ga_ls7e_ard_3-1-0_108076_2019-10-03_final
2019-10-13 09:53:14	ga_ls7e_ard_3-1-0_098081_2019-10-13_final
2019-10-19 10:55:59	ga_ls7e_ard_3-1-0_108084_2019-10-19_final
2019-10-28 09:12:31	ga_ls7e_ard_3-1-0_091089_2019-10-27_final
2019-11-14 11:28:18	ga_ls7e_ard_3-1-0_114075_2019-11-14_final
2019-11-29 10:44:44	ga_ls7e_ard_3-1-0_107076_2019-11-29_final
2019-12-24 08:58:49	ga_ls7e_ard_3-1-0_090077_2019-12-23_final
2020-01-07 10:51:43	ga_ls7e_ard_3-1-0_108083_2020-01-07_final
2020-01-17 09:45:02	ga_ls7e_ard_3-1-0_098072_2020-01-17_final
2020-02-12 10:20:25	ga_ls7e_ard_3-1-0_104071_2020-02-12_final
2020-02-14 10:10:20	ga_ls7e_ard_3-1-0_102077_2020-02-14_final
2020-02-15 09:13:52	ga_ls7e_ard_3-1-0_093075_2020-02-14_final
2020-02-15 10:55:33	ga_ls7e_ard_3-1-0_109082_2020-02-15_final
2020-03-13 10:34:22	ga_ls7e_ard_3-1-0_106079_2020-03-13_final
2020-03-18 10:50:14	ga_ls7e_ard_3-1-0_109073_2020-03-18_final
2020-04-05 10:38:27	ga_ls7e_ard_3-1-0_107077_2020-04-05_final
2020-04-14 10:28:34	ga_ls7e_ard_3-1-0_106069_2020-04-14_final
2021-01-29 09:58:55	ga_ls7e_ard_3-2-0_104073_2021-01-29_final
2021-03-25 10:03:16	ga_ls7e_ard_3-2-0_105079_2021-03-25_final
2021-04-01 08:29:59	ga_ls7e_ard_3-2-0_090079_2021-03-31_final
2021-04-08 10:12:52	ga_ls7e_ard_3-2-0_107075_2021-04-08_final
2021-05-25 09:27:15	ga_ls7e_ard_3-2-0_100079_2021-05-24_final
2021-06-26 09:25:48	ga_ls7e_ard_3-2-0_100082_2021-06-25_final
2021-06-28 09:14:28	ga_ls7e_ard_3-2-0_098085_2021-06-27_final
2021-07-02 10:23:06	ga_ls7e_ard_3-2-0_110072_2021-07-02_final
2021-07-08 09:45:07	ga_ls7e_ard_3-2-0_104071_2021-07-08_final
2021-07-13 10:03:14	ga_ls7e_ard_3-2-0_107071_2021-07-13_final
2021-07-15 09:49:30	ga_ls7e_ard_3-2-0_105068_2021-07-15_final
2021-07-30 09:05:45	ga_ls7e_ard_3-2-0_098070_2021-07-29_final
2021-08-21 10:10:47	ga_ls7e_ard_3-2-0_108083_2021-08-21_final
2021-08-30 10:00:38	ga_ls7e_ard_3-2-0_107075_2021-08-30_final
2021-09-27 08:43:12	ga_ls7e_ard_3-2-0_095073_2021-09-26_final
2021-10-02 08:59:18	ga_ls7e_ard_3-2-0_098068_2021-10-01_final
2021-10-02 09:00:06	ga_ls7e_ard_3-2-0_098070_2021-10-01_final
2021-10-10 09:53:14	ga_ls7e_ard_3-2-0_106081_2021-10-10_final
2021-10-22 10:17:40	ga_ls7e_ard_3-2-0_110083_2021-10-22_final
2021-11-16 10:05:08	ga_ls7e_ard_3-2-1_109073_2021-11-16_final
2021-11-25 09:57:17	ga_ls7e_ard_3-2-1_108071_2021-11-25_final
2021-11-27 09:46:44	ga_ls7e_ard_3-2-1_106076_2021-11-27_final
2021-11-30 08:40:52	ga_ls7e_ard_3-2-1_095082_2021-11-29_final
2021-12-16 10:15:50	ga_ls7e_ard_3-2-1_111076_2021-12-16_final
2021-12-21 08:52:37	ga_ls7e_ard_3-2-1_098070_2021-12-20_final
2021-12-25 10:07:11	ga_ls7e_ard_3-2-1_110072_2021-12-25_final
2021-12-29 08:07:58	ga_ls7e_ard_3-2-1_090084_2021-12-28_final
2022-01-03 10:00:29	ga_ls7e_ard_3-2-1_109073_2022-01-03_final
2022-01-23 09:33:04	ga_ls7e_ard_3-2-1_105071_2022-01-23_final
2022-02-02 10:13:57	ga_ls7e_ard_3-2-1_111083_2022-02-02_final
2022-02-06 08:07:33	ga_ls7e_ard_3-2-1_091077_2022-02-05_final
2022-03-06 08:31:30	ga_ls7e_ard_3-2-1_095082_2022-03-05_final
2022-03-06 08:32:18	ga_ls7e_ard_3-2-1_095084_2022-03-05_final
2022-03-15 09:59:18	ga_ls7e_ard_3-2-1_110072_2022-03-15_final
2022-03-19 09:34:59	ga_ls7e_ard_3-2-1_106074_2022-03-19_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