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
1999-12-16 11:44:57	ga_ls7e_ard_3-1-0_115077_1999-12-16_final
2000-12-13 09:48:34	ga_ls7e_ard_3-1-0_096086_2000-12-13_final
2005-03-07 09:36:30	ga_ls7e_ard_3-1-0_095073_2005-03-07_final
2005-09-17 09:29:06	ga_ls7e_ard_3-1-0_093087_2005-09-16_final
2006-05-29 09:36:52	ga_ls7e_ard_3-1-0_095073_2006-05-29_final
2006-10-29 09:27:56	ga_ls7e_ard_3-1-0_094067_2006-10-28_final
2007-02-21 10:01:35	ga_ls7e_ard_3-1-0_099072_2007-02-21_final
2007-03-25 10:01:40	ga_ls7e_ard_3-1-0_099072_2007-03-25_final
2007-03-25 11:42:32	ga_ls7e_ard_3-1-0_115077_2007-03-25_final
2007-04-24 10:15:10	ga_ls7e_ard_3-1-0_101075_2007-04-24_final
2007-07-24 09:58:18	ga_ls7e_ard_3-1-0_098080_2007-07-24_final
2007-09-21 11:19:04	ga_ls7e_ard_3-1-0_111082_2007-09-21_final
2008-03-04 09:58:19	ga_ls7e_ard_3-1-0_098080_2008-03-04_final
2008-05-11 11:09:07	ga_ls7e_ard_3-1-0_110072_2008-05-11_final
2009-03-21 10:12:17	ga_ls7e_ard_3-1-0_100084_2009-03-21_final
2010-03-30 09:30:25	ga_ls7e_ard_3-1-0_094067_2010-03-30_final
2010-05-29 10:00:16	ga_ls7e_ard_3-1-0_098080_2010-05-29_final
2010-06-16 11:28:24	ga_ls7e_ard_3-1-0_112084_2010-06-16_final
2010-07-27 11:21:30	ga_ls7e_ard_3-1-0_111082_2010-07-27_final
2012-05-10 10:50:14	ga_ls7e_ard_3-1-0_106075_2012-05-10_final
2012-06-27 10:50:05	ga_ls7e_ard_3-1-0_106075_2012-06-27_final
2012-09-02 09:42:07	ga_ls7e_ard_3-1-0_095073_2012-09-02_final
2012-11-14 11:15:02	ga_ls7e_ard_3-1-0_110072_2012-11-14_final
2012-12-25 09:36:11	ga_ls7e_ard_3-1-0_093087_2012-12-25_final
2013-09-18 09:16:22	ga_ls7e_ard_3-1-0_090085_2013-09-17_final
2013-12-05 11:02:41	ga_ls7e_ard_3-1-0_108071_2013-12-05_final
2014-01-04 11:15:33	ga_ls7e_ard_3-1-0_110072_2014-01-04_final
2014-02-16 09:24:01	ga_ls7e_ard_3-1-0_091086_2014-02-15_final
2014-07-17 11:05:28	ga_ls7e_ard_3-1-0_108075_2014-07-17_final
2014-08-20 10:53:13	ga_ls7e_ard_3-1-0_106075_2014-08-20_final
2014-11-04 09:36:26	ga_ls7e_ard_3-1-0_094067_2014-11-04_final
2014-11-20 09:36:29	ga_ls7e_ard_3-1-0_094067_2014-11-20_final
2014-12-10 10:53:59	ga_ls7e_ard_3-1-0_106075_2014-12-10_final
2015-01-20 09:11:27	ga_ls7e_ard_3-1-0_089081_2015-01-19_final
2015-09-20 11:19:03	ga_ls7e_ard_3-1-0_110072_2015-09-20_final
2015-10-22 09:38:33	ga_ls7e_ard_3-1-0_094067_2015-10-22_final
2016-11-17 10:32:36	ga_ls7e_ard_3-1-0_102073_2016-11-17_final
2017-09-01 10:32:41	ga_ls7e_ard_3-1-0_102073_2017-09-01_final
2017-11-28 09:40:45	ga_ls7e_ard_3-1-0_094067_2017-11-28_final
2018-07-02 10:29:27	ga_ls7e_ard_3-1-0_102073_2018-07-02_final
2018-10-18 09:16:37	ga_ls7e_ard_3-1-0_090082_2018-10-17_final
2019-02-19 09:31:57	ga_ls7e_ard_3-1-0_094067_2019-02-19_final
2019-02-23 10:49:34	ga_ls7e_ard_3-1-0_106076_2019-02-23_final
2019-02-27 10:22:20	ga_ls7e_ard_3-1-0_102070_2019-02-27_final
2019-03-07 09:33:50	ga_ls7e_ard_3-1-0_094073_2019-03-07_final
2019-03-09 09:27:00	ga_ls7e_ard_3-1-0_092087_2019-03-08_final
2019-03-15 10:22:13	ga_ls7e_ard_3-1-0_102071_2019-03-15_final
2019-03-17 10:10:11	ga_ls7e_ard_3-1-0_100072_2019-03-17_final
2019-04-04 10:00:25	ga_ls7e_ard_3-1-0_098080_2019-04-04_final
2019-06-27 09:29:48	ga_ls7e_ard_3-1-0_094073_2019-06-26_final
2019-08-26 09:49:42	ga_ls7e_ard_3-1-0_098067_2019-08-26_final
2019-09-02 09:57:35	ga_ls7e_ard_3-1-0_099072_2019-09-02_final
2019-09-03 09:08:18	ga_ls7e_ard_3-1-0_090088_2019-09-02_final
2019-09-04 11:28:24	ga_ls7e_ard_3-1-0_113083_2019-09-04_final
2019-09-20 09:48:49	ga_ls7e_ard_3-1-0_097083_2019-09-20_final
2019-09-26 09:13:28	ga_ls7e_ard_3-1-0_091088_2019-09-25_final
2019-10-03 10:52:39	ga_ls7e_ard_3-1-0_108074_2019-10-03_final
2019-10-04 09:54:36	ga_ls7e_ard_3-1-0_099068_2019-10-04_final
2019-10-22 09:45:52	ga_ls7e_ard_3-1-0_097079_2019-10-22_final
2019-11-06 09:01:09	ga_ls7e_ard_3-1-0_090077_2019-11-05_final
2019-11-29 09:07:51	ga_ls7e_ard_3-1-0_091081_2019-11-28_final
2019-11-30 09:47:04	ga_ls7e_ard_3-1-0_098071_2019-11-30_final
2019-12-16 09:45:52	ga_ls7e_ard_3-1-0_098070_2019-12-16_final
2019-12-16 09:46:40	ga_ls7e_ard_3-1-0_098072_2019-12-16_final
2019-12-21 10:08:57	ga_ls7e_ard_3-1-0_101082_2019-12-21_final
2019-12-24 09:00:49	ga_ls7e_ard_3-1-0_090082_2019-12-23_final
2020-01-03 09:32:59	ga_ls7e_ard_3-1-0_096071_2020-01-03_final
2020-01-25 09:00:23	ga_ls7e_ard_3-1-0_090085_2020-01-24_final
2020-01-29 10:08:46	ga_ls7e_ard_3-1-0_102071_2020-01-29_final
2020-02-09 11:30:56	ga_ls7e_ard_3-1-0_115077_2020-02-09_final
2020-02-11 09:41:11	ga_ls7e_ard_3-1-0_097081_2020-02-11_final
2020-02-12 10:21:12	ga_ls7e_ard_3-1-0_104073_2020-02-12_final
2020-02-22 10:55:22	ga_ls7e_ard_3-1-0_110067_2020-02-22_final
2020-02-25 09:50:25	ga_ls7e_ard_3-1-0_099075_2020-02-25_final
2020-02-25 09:53:37	ga_ls7e_ard_3-1-0_099083_2020-02-25_final
2020-02-29 11:07:34	ga_ls7e_ard_3-1-0_111083_2020-02-29_final
2020-03-06 10:26:10	ga_ls7e_ard_3-1-0_105073_2020-03-06_final
2020-04-05 09:03:10	ga_ls7e_ard_3-1-0_091086_2020-04-04_final
2020-04-13 09:44:34	ga_ls7e_ard_3-1-0_099067_2020-04-13_final
2021-03-14 10:21:29	ga_ls7e_ard_3-2-0_108076_2021-03-14_final
2021-03-29 09:37:25	ga_ls7e_ard_3-2-0_101077_2021-03-29_final
2021-04-01 10:04:53	ga_ls7e_ard_3-2-0_106069_2021-04-01_final
2021-04-01 10:07:40	ga_ls7e_ard_3-2-0_106076_2021-04-01_final
2021-04-03 09:51:57	ga_ls7e_ard_3-2-0_104068_2021-04-03_final
2021-04-24 08:36:38	ga_ls7e_ard_3-2-0_091085_2021-04-23_final
2021-05-07 09:37:09	ga_ls7e_ard_3-2-0_102069_2021-05-07_final
2021-05-25 09:27:15	ga_ls7e_ard_3-2-0_100079_2021-05-24_final
2021-05-26 10:12:25	ga_ls7e_ard_3-2-0_107084_2021-05-26_final
2021-06-02 10:13:36	ga_ls7e_ard_3-2-0_108073_2021-06-02_final
2021-06-10 09:27:55	ga_ls7e_ard_3-2-0_100084_2021-06-09_final
2021-06-27 08:29:18	ga_ls7e_ard_3-2-0_091080_2021-06-26_final
2021-06-28 09:11:41	ga_ls7e_ard_3-2-0_098078_2021-06-27_final
2021-06-28 10:46:10	ga_ls7e_ard_3-2-0_114067_2021-06-28_final
2021-06-28 10:48:58	ga_ls7e_ard_3-2-0_114074_2021-06-28_final
2021-07-12 09:25:15	ga_ls7e_ard_3-2-0_100084_2021-07-11_final
2021-07-23 09:04:10	ga_ls7e_ard_3-2-0_097080_2021-07-22_final
2021-08-25 09:39:44	ga_ls7e_ard_3-2-0_104068_2021-08-25_final
2022-03-15 09:58:30	ga_ls7e_ard_3-2-1_110070_2022-03-15_final
2022-03-26 09:38:55	ga_ls7e_ard_3-2-1_107070_2022-03-26_final
2022-03-31 08:19:17	ga_ls7e_ard_3-2-1_094073_2022-03-30_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