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
1999-09-04 11:40:22	ga_ls7e_ard_3-0-0_114081_1999-09-04_final
2000-12-11 11:37:47	ga_ls7e_ard_3-0-0_114081_2000-12-11_final
2001-06-05 11:37:05	ga_ls7e_ard_3-0-0_114081_2001-06-05_final
2001-08-15 11:41:14	ga_ls7e_ard_3-0-0_115078_2001-08-15_final
2002-07-10 11:34:37	ga_ls7e_ard_3-0-0_114078_2002-07-10_final
2004-01-28 11:40:16	ga_ls7e_ard_3-0-0_115075_2004-01-28_final
2004-02-13 11:40:43	ga_ls7e_ard_3-0-0_115076_2004-02-13_final
2004-02-29 11:41:56	ga_ls7e_ard_3-0-0_115079_2004-02-29_final
2004-04-17 11:41:33	ga_ls7e_ard_3-0-0_115078_2004-04-17_final
2004-05-03 11:39:59	ga_ls7e_ard_3-0-0_115074_2004-05-03_final
2004-05-03 11:41:58	ga_ls7e_ard_3-0-0_115079_2004-05-03_final
2004-06-04 11:40:43	ga_ls7e_ard_3-0-0_115076_2004-06-04_final
2004-11-04 11:35:07	ga_ls7e_ard_3-0-0_114078_2004-11-04_final
2004-11-20 11:36:00	ga_ls7e_ard_3-0-0_114080_2004-11-20_final
2005-07-02 11:35:38	ga_ls7e_ard_3-0-0_114078_2005-07-02_final
2005-09-27 11:40:17	ga_ls7e_ard_3-0-0_115075_2005-09-27_final
2005-12-25 11:35:54	ga_ls7e_ard_3-0-0_114078_2005-12-25_final
2006-02-02 11:41:36	ga_ls7e_ard_3-0-0_115076_2006-02-02_final
2006-09-07 11:35:48	ga_ls7e_ard_3-0-0_114078_2006-09-07_final
2007-01-04 11:41:01	ga_ls7e_ard_3-0-0_115074_2007-01-04_final
2007-03-09 11:43:19	ga_ls7e_ard_3-0-0_115079_2007-03-09_final
2009-06-02 11:43:15	ga_ls7e_ard_3-0-0_115079_2009-06-02_final
2011-02-16 11:46:14	ga_ls7e_ard_3-0-0_115079_2011-02-16_final
2011-05-23 11:44:23	ga_ls7e_ard_3-0-0_115074_2011-05-23_final
2011-08-11 11:44:13	ga_ls7e_ard_3-0-0_115074_2011-08-11_final
2011-09-28 11:46:02	ga_ls7e_ard_3-0-0_115079_2011-09-28_final
2013-03-25 11:48:51	ga_ls7e_ard_3-0-0_115079_2013-03-25_final
2013-10-03 11:48:38	ga_ls7e_ard_3-0-0_115079_2013-10-03_final
2015-09-23 11:51:58	ga_ls7e_ard_3-0-0_115077_2015-09-23_final
2016-03-01 11:54:45	ga_ls7e_ard_3-0-0_115079_2016-03-01_final
2017-12-01 11:54:30	ga_ls7e_ard_3-1-0_115077_2017-12-01_final
2018-03-07 11:54:06	ga_ls7e_ard_3-0-0_115079_2018-03-07_final
2019-06-14 11:41:15	ga_ls7e_ard_3-0-0_115076_2019-06-14_final
2020-05-15 11:24:19	ga_ls7e_ard_3-1-0_115074_2020-05-15_final
2020-05-31 11:24:09	ga_ls7e_ard_3-1-0_115076_2020-05-31_final
2020-11-23 09:36:51	ga_ls7e_ard_3-1-0_099083_2020-11-23_final
2020-12-09 09:36:05	ga_ls7e_ard_3-1-0_099084_2020-12-09_final
2020-12-11 09:22:22	ga_ls7e_ard_3-1-0_097081_2020-12-10_final
2020-12-15 08:57:21	ga_ls7e_ard_3-1-0_093081_2020-12-14_final
2021-01-03 11:03:46	ga_ls7e_ard_3-1-0_114076_2021-01-03_final
2021-01-07 09:03:05	ga_ls7e_ard_3-1-0_094084_2021-01-06_final
2021-01-20 10:09:21	ga_ls7e_ard_3-2-0_105082_2021-01-20_final
2021-01-24 09:44:44	ga_ls7e_ard_3-2-0_101083_2021-01-24_final
2021-01-28 09:18:56	ga_ls7e_ard_3-2-0_097081_2021-01-27_final
2021-02-06 10:49:22	ga_ls7e_ard_3-2-0_112077_2021-02-06_final
2021-02-13 10:57:01	ga_ls7e_ard_3-2-0_113082_2021-02-13_final
2021-02-17 08:54:43	ga_ls7e_ard_3-2-0_093086_2021-02-16_final
2021-02-19 08:41:24	ga_ls7e_ard_3-2-0_091084_2021-02-18_final
2021-02-21 10:06:11	ga_ls7e_ard_3-2-0_105080_2021-02-21_final
2021-02-26 10:21:56	ga_ls7e_ard_3-2-0_108074_2021-02-26_final
2021-03-03 09:03:36	ga_ls7e_ard_3-2-0_095080_2021-03-02_final
2021-03-24 09:17:17	ga_ls7e_ard_3-2-0_098072_2021-03-23_final
2021-04-06 10:23:24	ga_ls7e_ard_3-2-0_109070_2021-04-06_final
2021-04-22 10:27:15	ga_ls7e_ard_3-2-0_109083_2021-04-22_final
2021-05-02 11:00:18	ga_ls7e_ard_3-2-0_115075_2021-05-02_final
2021-05-06 10:36:26	ga_ls7e_ard_3-2-0_111078_2021-05-06_final
2021-05-20 10:46:01	ga_ls7e_ard_3-2-0_113074_2021-05-20_final
2021-05-28 09:57:06	ga_ls7e_ard_3-2-0_105077_2021-05-28_final
2021-06-07 10:32:09	ga_ls7e_ard_3-2-0_111074_2021-06-07_final
2021-06-14 09:00:52	ga_ls7e_ard_3-2-0_096079_2021-06-13_final
2021-06-16 08:50:45	ga_ls7e_ard_3-2-0_094085_2021-06-15_final
2021-08-02 09:35:35	ga_ls7e_ard_3-2-0_103068_2021-08-02_final
2021-08-07 09:56:04	ga_ls7e_ard_3-2-0_106074_2021-08-07_final
2021-08-08 09:03:09	ga_ls7e_ard_3-2-0_097081_2021-08-07_final
2021-08-18 09:34:09	ga_ls7e_ard_3-2-0_103068_2021-08-18_final
2021-08-23 08:19:23	ga_ls7e_ard_3-2-0_090083_2021-08-22_final
2021-08-23 09:52:16	ga_ls7e_ard_3-2-0_106068_2021-08-23_final
2021-08-23 09:53:28	ga_ls7e_ard_3-2-0_106071_2021-08-23_final
2021-08-23 09:57:27	ga_ls7e_ard_3-2-0_106081_2021-08-23_final
2021-08-30 10:00:14	ga_ls7e_ard_3-2-0_107074_2021-08-30_final
2021-09-07 10:50:11	ga_ls7e_ard_3-2-0_115077_2021-09-07_final
2021-09-16 10:44:00	ga_ls7e_ard_3-2-0_114079_2021-09-16_final
2021-09-26 09:41:42	ga_ls7e_ard_3-2-0_104080_2021-09-26_final
2021-10-01 09:58:36	ga_ls7e_ard_3-2-0_107077_2021-10-01_final
2021-10-06 10:15:07	ga_ls7e_ard_3-2-0_110073_2021-10-06_final
2021-10-23 09:17:10	ga_ls7e_ard_3-2-0_101071_2021-10-22_final
2021-10-27 08:56:29	ga_ls7e_ard_3-2-0_097082_2021-10-26_final
2021-10-29 08:39:57	ga_ls7e_ard_3-2-0_095072_2021-10-28_final
2021-10-30 09:26:18	ga_ls7e_ard_3-2-0_102080_2021-10-29_final
2021-11-05 10:28:20	ga_ls7e_ard_3-2-0_112082_2021-11-05_final
2021-11-09 08:22:21	ga_ls7e_ard_3-2-0_092077_2021-11-08_final
2021-11-18 08:16:54	ga_ls7e_ard_3-2-1_091081_2021-11-17_final
2021-11-20 09:41:13	ga_ls7e_ard_3-2-1_105076_2021-11-20_final
2021-11-22 09:27:04	ga_ls7e_ard_3-2-1_103072_2021-11-21_final
2021-11-22 09:27:52	ga_ls7e_ard_3-2-1_103074_2021-11-21_final
2021-11-23 10:14:37	ga_ls7e_ard_3-2-1_110083_2021-11-23_final
2021-11-27 09:46:20	ga_ls7e_ard_3-2-1_106075_2021-11-27_final
2021-12-02 08:29:31	ga_ls7e_ard_3-2-1_093085_2021-12-01_final
2022-01-06 08:51:49	ga_ls7e_ard_3-2-1_098072_2022-01-05_final
2022-01-19 09:57:23	ga_ls7e_ard_3-2-1_109069_2022-01-19_final
2022-01-21 08:13:32	ga_ls7e_ard_3-2-1_091088_2022-01-20_final
2022-01-28 08:17:50	ga_ls7e_ard_3-2-1_092085_2022-01-27_final
2022-01-31 08:48:02	ga_ls7e_ard_3-2-1_097084_2022-01-30_final
2022-02-06 08:12:20	ga_ls7e_ard_3-2-1_091089_2022-02-05_final
2022-02-16 10:24:04	ga_ls7e_ard_3-2-1_113081_2022-02-16_final
2022-02-18 10:08:19	ga_ls7e_ard_3-2-1_111073_2022-02-18_final
2022-02-23 08:46:43	ga_ls7e_ard_3-2-1_098071_2022-02-22_final
2022-03-03 07:59:42	ga_ls7e_ard_3-2-1_090079_2022-03-02_final
2022-03-03 09:37:47	ga_ls7e_ard_3-2-1_106077_2022-03-03_final
2022-03-19 07:57:18	ga_ls7e_ard_3-2-1_090077_2022-03-18_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