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
1999-07-09 11:45:11	ga_ls7e_ard_3-0-0_115078_1999-07-09_final
1999-09-27 11:44:12	ga_ls7e_ard_3-0-0_115075_1999-09-27_final
1999-10-20 11:51:28	ga_ls7e_ard_3-0-0_116078_1999-10-20_final
1999-11-05 11:51:28	ga_ls7e_ard_3-0-0_116078_1999-11-05_final
1999-12-16 11:45:21	ga_ls7e_ard_3-0-0_115078_1999-12-16_final
2000-10-31 11:42:46	ga_ls7e_ard_3-0-0_115078_2000-10-31_final
2002-09-03 11:40:00	ga_ls7e_ard_3-1-0_115077_2002-09-03_final
2005-01-14 11:41:24	ga_ls7e_ard_3-1-0_115077_2005-01-14_final
2005-06-07 11:40:19	ga_ls7e_ard_3-0-0_115074_2005-06-07_final
2005-09-11 11:41:29	ga_ls7e_ard_3-0-0_115078_2005-09-11_final
2005-09-27 11:41:04	ga_ls7e_ard_3-1-0_115077_2005-09-27_final
2006-08-13 11:41:17	ga_ls7e_ard_3-0-0_115076_2006-08-13_final
2006-11-17 11:41:09	ga_ls7e_ard_3-0-0_115075_2006-11-17_final
2006-12-19 11:42:35	ga_ls7e_ard_3-0-0_115078_2006-12-19_final
2007-01-20 11:42:15	ga_ls7e_ard_3-1-0_115077_2007-01-20_final
2007-02-05 11:41:10	ga_ls7e_ard_3-0-0_115074_2007-02-05_final
2007-05-28 11:41:52	ga_ls7e_ard_3-0-0_115076_2007-05-28_final
2008-01-23 11:42:45	ga_ls7e_ard_3-0-0_115078_2008-01-23_final
2008-12-24 11:41:10	ga_ls7e_ard_3-0-0_115076_2008-12-24_final
2009-06-02 11:41:39	ga_ls7e_ard_3-0-0_115075_2009-06-02_final
2010-06-05 11:43:20	ga_ls7e_ard_3-0-0_115075_2010-06-05_final
2013-12-22 11:49:10	ga_ls7e_ard_3-0-0_115079_2013-12-22_final
2014-02-08 11:48:05	ga_ls7e_ard_3-0-0_115075_2014-02-08_final
2014-02-08 11:48:29	ga_ls7e_ard_3-0-0_115076_2014-02-08_final
2015-01-10 11:51:22	ga_ls7e_ard_3-0-0_115079_2015-01-10_final
2015-05-02 11:50:31	ga_ls7e_ard_3-0-0_115075_2015-05-02_final
2015-07-21 11:52:09	ga_ls7e_ard_3-0-0_115078_2015-07-21_final
2016-11-28 11:53:43	ga_ls7e_ard_3-0-0_115075_2016-11-28_final
2019-09-18 11:36:33	ga_ls7e_ard_3-1-0_115074_2019-09-18_final
2020-03-12 11:28:26	ga_ls7e_ard_3-1-0_115075_2020-03-12_final
2020-08-28 11:14:31	ga_ls7e_ard_3-1-0_114081_2020-08-28_final
2020-12-21 09:54:18	ga_ls7e_ard_3-1-0_103070_2020-12-21_final
2020-12-23 09:42:35	ga_ls7e_ard_3-1-0_101072_2020-12-23_final
2020-12-25 11:10:34	ga_ls7e_ard_3-1-0_115076_2020-12-25_final
2020-12-26 08:41:11	ga_ls7e_ard_3-1-0_090089_2020-12-25_final
2020-12-26 10:11:41	ga_ls7e_ard_3-1-0_106068_2020-12-26_final
2021-01-02 08:44:30	ga_ls7e_ard_3-1-0_091083_2021-01-01_final
2021-01-05 10:50:52	ga_ls7e_ard_3-1-0_112075_2021-01-05_final
2021-01-21 09:10:04	ga_ls7e_ard_3-2-0_096073_2021-01-20_final
2021-01-29 10:00:31	ga_ls7e_ard_3-2-0_104077_2021-01-29_final
2021-02-04 11:03:04	ga_ls7e_ard_3-2-0_114080_2021-02-04_final
2021-02-06 09:14:05	ga_ls7e_ard_3-2-0_096086_2021-02-05_final
2021-02-12 10:09:03	ga_ls7e_ard_3-2-0_106070_2021-02-12_final
2021-02-26 08:49:03	ga_ls7e_ard_3-2-0_092089_2021-02-25_final
2021-02-26 10:21:56	ga_ls7e_ard_3-2-0_108074_2021-02-26_final
2021-03-02 09:56:31	ga_ls7e_ard_3-2-0_104073_2021-03-02_final
2021-03-04 09:42:00	ga_ls7e_ard_3-2-0_102068_2021-03-04_final
2021-03-12 10:32:48	ga_ls7e_ard_3-2-0_110073_2021-03-12_final
2021-03-23 08:35:42	ga_ls7e_ard_3-2-0_091076_2021-03-22_final
2021-03-24 09:17:17	ga_ls7e_ard_3-2-0_098072_2021-03-23_final
2021-03-24 09:20:29	ga_ls7e_ard_3-2-0_098080_2021-03-23_final
2021-03-28 10:30:20	ga_ls7e_ard_3-2-0_110070_2021-03-28_final
2021-03-30 08:45:19	ga_ls7e_ard_3-2-0_092086_2021-03-29_final
2021-04-16 09:24:46	ga_ls7e_ard_3-2-0_099080_2021-04-15_final
2021-04-25 09:19:25	ga_ls7e_ard_3-2-0_098084_2021-04-24_final
2021-04-29 10:28:27	ga_ls7e_ard_3-2-0_110072_2021-04-29_final
2021-05-11 09:15:41	ga_ls7e_ard_3-2-0_098078_2021-05-10_final
2021-05-13 10:40:26	ga_ls7e_ard_3-2-0_112074_2021-05-13_final
2021-05-30 09:42:34	ga_ls7e_ard_3-2-0_103072_2021-05-30_final
2021-06-11 10:07:30	ga_ls7e_ard_3-2-0_107075_2021-06-11_final
2021-06-23 10:29:38	ga_ls7e_ard_3-2-0_111071_2021-06-23_final
2021-06-28 10:51:21	ga_ls7e_ard_3-2-0_114080_2021-06-28_final
2021-06-29 08:16:46	ga_ls7e_ard_3-2-0_089080_2021-06-28_final
2021-07-12 09:20:04	ga_ls7e_ard_3-2-0_100071_2021-07-11_final
2021-07-25 10:27:43	ga_ls7e_ard_3-2-0_111073_2021-07-25_final
2021-07-25 10:31:42	ga_ls7e_ard_3-2-0_111083_2021-07-25_final
2021-08-03 10:19:33	ga_ls7e_ard_3-2-0_110070_2021-08-03_final
2021-08-14 08:27:32	ga_ls7e_ard_3-2-0_091086_2021-08-13_final
2021-08-15 09:03:08	ga_ls7e_ard_3-2-0_098067_2021-08-14_final
2021-08-15 09:03:31	ga_ls7e_ard_3-2-0_098068_2021-08-14_final
2021-08-15 09:07:31	ga_ls7e_ard_3-2-0_098078_2021-08-14_final
2021-08-19 10:19:43	ga_ls7e_ard_3-2-0_110074_2021-08-19_final
2021-08-21 10:05:12	ga_ls7e_ard_3-2-0_108069_2021-08-21_final
2021-08-26 10:24:54	ga_ls7e_ard_3-2-0_111073_2021-08-26_final
2021-09-04 08:44:39	ga_ls7e_ard_3-2-0_094087_2021-09-03_final
2021-09-06 10:04:13	ga_ls7e_ard_3-2-0_108070_2021-09-06_final
2021-09-15 08:25:57	ga_ls7e_ard_3-2-0_091089_2021-09-14_final
2021-09-19 09:32:58	ga_ls7e_ard_3-2-0_103072_2021-09-19_final
2021-09-29 08:34:15	ga_ls7e_ard_3-2-0_093082_2021-09-28_final
2021-10-01 08:20:55	ga_ls7e_ard_3-2-0_091080_2021-09-30_final
2021-10-08 10:03:22	ga_ls7e_ard_3-2-0_108075_2021-10-08_final
2021-10-13 10:19:53	ga_ls7e_ard_3-2-0_111071_2021-10-13_final
2021-10-15 10:08:32	ga_ls7e_ard_3-2-0_109074_2021-10-15_final
2021-10-24 08:27:51	ga_ls7e_ard_3-2-0_092087_2021-10-23_final
2021-10-25 10:45:54	ga_ls7e_ard_3-2-0_115077_2021-10-25_final
2021-11-10 09:08:19	ga_ls7e_ard_3-2-0_099084_2021-11-09_final
2021-11-20 09:38:02	ga_ls7e_ard_3-2-1_105068_2021-11-20_final
2021-11-23 10:12:13	ga_ls7e_ard_3-2-1_110077_2021-11-23_final
2021-11-30 10:16:57	ga_ls7e_ard_3-2-1_111075_2021-11-30_final
2021-12-12 09:03:16	ga_ls7e_ard_3-2-1_099079_2021-12-11_final
2022-01-05 09:51:31	ga_ls7e_ard_3-2-1_107082_2022-01-05_final
2022-01-13 08:57:21	ga_ls7e_ard_3-2-1_099072_2022-01-12_final
2022-01-13 09:00:08	ga_ls7e_ard_3-2-1_099079_2022-01-12_final
2022-01-22 08:49:54	ga_ls7e_ard_3-2-1_098071_2022-01-21_final
2022-01-23 07:58:35	ga_ls7e_ard_3-2-1_089082_2022-01-22_final
2022-01-29 08:58:59	ga_ls7e_ard_3-2-1_099080_2022-01-28_final
2022-02-13 09:54:16	ga_ls7e_ard_3-2-1_108083_2022-02-13_final
2022-03-12 09:29:30	ga_ls7e_ard_3-2-1_105074_2022-03-11_final
2022-03-12 09:29:54	ga_ls7e_ard_3-2-1_105075_2022-03-11_final
2022-03-22 10:08:47	ga_ls7e_ard_3-2-1_111082_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years