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
2000-01-10 11:40:16	ga_ls7e_ard_3-0-0_114081_2000-01-10_final
2000-04-06 11:44:02	ga_ls7e_ard_3-0-0_115076_2000-04-06_final
2000-08-12 11:43:05	ga_ls7e_ard_3-1-0_115077_2000-08-12_final
2001-04-25 11:41:40	ga_ls7e_ard_3-0-0_115076_2001-04-25_final
2003-01-25 11:41:18	ga_ls7e_ard_3-0-0_115079_2003-01-25_final
2006-09-14 11:41:09	ga_ls7e_ard_3-0-0_115076_2006-09-14_final
2006-10-25 11:36:40	ga_ls7e_ard_3-0-0_114080_2006-10-25_final
2008-05-30 11:42:41	ga_ls7e_ard_3-0-0_115079_2008-05-30_final
2010-10-04 11:38:28	ga_ls7e_ard_3-0-0_114078_2010-10-04_final
2011-06-01 11:40:13	ga_ls7e_ard_3-0-0_114079_2011-06-01_final
2011-07-03 11:40:08	ga_ls7e_ard_3-0-0_114079_2011-07-03_final
2012-05-18 11:41:20	ga_ls7e_ard_3-0-0_114079_2012-05-18_final
2012-08-29 11:46:28	ga_ls7e_ard_3-0-0_115075_2012-08-29_final
2013-08-09 11:41:48	ga_ls7e_ard_3-0-0_114079_2013-08-09_final
2014-04-13 11:49:51	ga_ls7e_ard_3-0-0_115079_2014-04-13_final
2015-11-03 11:46:42	ga_ls7e_ard_3-0-0_114078_2015-11-03_final
2016-11-12 11:54:34	ga_ls7e_ard_3-1-0_115077_2016-11-12_final
2018-12-20 11:47:35	ga_ls7e_ard_3-1-0_115077_2018-12-20_final
2019-01-30 11:41:19	ga_ls7e_ard_3-0-0_114080_2019-01-30_final
2020-11-25 11:02:02	ga_ls7e_ard_3-1-0_113080_2020-11-25_final
2020-11-29 10:37:25	ga_ls7e_ard_3-1-0_109081_2020-11-29_final
2020-11-30 09:42:08	ga_ls7e_ard_3-1-0_100082_2020-11-30_final
2020-12-04 10:53:12	ga_ls7e_ard_3-1-0_112075_2020-12-04_final
2020-12-11 11:02:03	ga_ls7e_ard_3-1-0_113083_2020-12-11_final
2020-12-13 09:10:16	ga_ls7e_ard_3-1-0_095082_2020-12-12_final
2020-12-16 09:40:56	ga_ls7e_ard_3-1-0_100082_2020-12-16_final
2020-12-31 10:30:41	ga_ls7e_ard_3-1-0_109070_2020-12-31_final
2021-01-02 08:45:42	ga_ls7e_ard_3-1-0_091086_2021-01-01_final
2021-01-06 09:55:11	ga_ls7e_ard_3-1-0_103075_2021-01-06_final
2021-01-09 10:29:28	ga_ls7e_ard_3-1-0_108084_2021-01-09_final
2021-01-15 09:47:10	ga_ls7e_ard_3-1-0_102072_2021-01-15_final
2021-01-18 08:44:34	ga_ls7e_ard_3-1-0_091086_2021-01-17_final
2021-01-18 10:21:03	ga_ls7e_ard_3-1-0_107080_2021-01-18_final
2021-01-30 10:46:06	ga_ls7e_ard_3-2-0_111083_2021-01-30_final
2021-02-21 10:05:23	ga_ls7e_ard_3-2-0_105078_2021-02-21_final
2021-02-22 09:10:29	ga_ls7e_ard_3-2-0_096080_2021-02-21_final
2021-02-22 10:49:22	ga_ls7e_ard_3-2-0_112080_2021-02-22_final
2021-03-01 09:16:31	ga_ls7e_ard_3-2-0_097081_2021-02-28_final
2021-03-03 09:05:36	ga_ls7e_ard_3-2-0_095085_2021-03-02_final
2021-03-07 08:40:58	ga_ls7e_ard_3-2-0_091086_2021-03-06_final
2021-03-17 09:15:16	ga_ls7e_ard_3-2-0_097081_2021-03-16_final
2021-03-30 10:18:36	ga_ls7e_ard_3-2-0_108072_2021-03-30_final
2021-04-01 08:31:11	ga_ls7e_ard_3-2-0_090082_2021-03-31_final
2021-04-04 09:03:02	ga_ls7e_ard_3-2-0_095085_2021-04-03_final
2021-04-19 09:51:49	ga_ls7e_ard_3-2-0_104071_2021-04-19_final
2021-05-13 09:03:33	ga_ls7e_ard_3-2-0_096079_2021-05-12_final
2021-05-21 09:51:07	ga_ls7e_ard_3-2-0_104076_2021-05-21_final
2021-05-24 10:23:21	ga_ls7e_ard_3-2-0_109080_2021-05-24_final
2021-05-31 08:50:27	ga_ls7e_ard_3-2-0_094081_2021-05-30_final
2021-06-02 08:40:43	ga_ls7e_ard_3-2-0_092088_2021-06-01_final
2021-06-09 10:18:02	ga_ls7e_ard_3-2-0_109070_2021-06-09_final
2021-06-15 09:42:03	ga_ls7e_ard_3-2-0_103074_2021-06-15_final
2021-06-26 09:23:24	ga_ls7e_ard_3-2-0_100076_2021-06-25_final
2021-06-26 09:26:36	ga_ls7e_ard_3-2-0_100084_2021-06-25_final
2021-07-10 09:32:35	ga_ls7e_ard_3-2-0_102071_2021-07-10_final
2021-07-31 09:48:55	ga_ls7e_ard_3-2-0_105070_2021-07-31_final
2021-08-01 08:53:36	ga_ls7e_ard_3-2-0_096071_2021-07-31_final
2021-08-08 08:59:10	ga_ls7e_ard_3-2-0_097071_2021-08-07_final
2021-08-23 09:53:52	ga_ls7e_ard_3-2-0_106072_2021-08-23_final
2021-08-24 10:35:03	ga_ls7e_ard_3-2-0_113067_2021-08-24_final
2021-08-25 09:43:20	ga_ls7e_ard_3-2-0_104077_2021-08-25_final
2021-08-28 10:12:46	ga_ls7e_ard_3-2-0_109074_2021-08-28_final
2021-09-09 08:57:10	ga_ls7e_ard_3-2-0_097073_2021-09-08_final
2021-09-11 10:24:19	ga_ls7e_ard_3-2-0_111075_2021-09-11_final
2021-09-11 10:24:43	ga_ls7e_ard_3-2-0_111076_2021-09-11_final
2021-09-17 09:45:54	ga_ls7e_ard_3-2-0_105073_2021-09-17_final
2021-09-19 09:34:57	ga_ls7e_ard_3-2-0_103077_2021-09-19_final
2021-09-20 10:19:43	ga_ls7e_ard_3-2-0_110081_2021-09-20_final
2021-09-21 09:21:37	ga_ls7e_ard_3-2-0_101075_2021-09-20_final
2021-09-28 09:25:34	ga_ls7e_ard_3-2-0_102071_2021-09-27_final
2021-10-06 10:15:31	ga_ls7e_ard_3-2-0_110074_2021-10-06_final
2021-10-10 08:14:45	ga_ls7e_ard_3-2-0_090082_2021-10-09_final
2021-10-18 09:02:17	ga_ls7e_ard_3-2-0_098079_2021-10-17_final
2021-10-20 08:47:45	ga_ls7e_ard_3-2-0_096074_2021-10-19_final
2021-10-26 09:52:35	ga_ls7e_ard_3-2-0_106083_2021-10-26_final
2021-10-31 10:06:17	ga_ls7e_ard_3-2-0_109072_2021-10-31_final
2021-11-12 10:33:02	ga_ls7e_ard_3-2-1_113080_2021-11-12_final
2021-11-18 09:52:35	ga_ls7e_ard_3-2-1_107073_2021-11-18_final
2021-11-30 08:40:28	ga_ls7e_ard_3-2-1_095081_2021-11-29_final
2021-12-03 09:10:18	ga_ls7e_ard_3-2-1_100079_2021-12-02_final
2021-12-08 09:26:22	ga_ls7e_ard_3-2-1_103074_2021-12-07_final
2021-12-18 10:00:54	ga_ls7e_ard_3-2-1_109070_2021-12-18_final
2021-12-20 09:50:44	ga_ls7e_ard_3-2-1_107076_2021-12-20_final
2021-12-25 08:30:42	ga_ls7e_ard_3-2-1_094078_2021-12-24_final
2021-12-25 10:11:58	ga_ls7e_ard_3-2-1_110084_2021-12-25_final
2022-01-05 09:49:55	ga_ls7e_ard_3-2-1_107078_2022-01-05_final
2022-01-08 10:19:45	ga_ls7e_ard_3-2-1_112076_2022-01-08_final
2022-01-13 09:01:20	ga_ls7e_ard_3-2-1_099082_2022-01-12_final
2022-01-14 08:04:25	ga_ls7e_ard_3-2-1_090079_2022-01-13_final
2022-01-21 08:12:44	ga_ls7e_ard_3-2-1_091086_2022-01-20_final
2022-01-26 08:30:23	ga_ls7e_ard_3-2-1_094085_2022-01-25_final
2022-02-05 09:05:16	ga_ls7e_ard_3-2-1_100082_2022-02-04_final
2022-02-14 08:57:45	ga_ls7e_ard_3-2-1_099081_2022-02-13_final
2022-02-20 08:17:18	ga_ls7e_ard_3-2-1_093074_2022-02-19_final
2022-02-22 09:44:01	ga_ls7e_ard_3-2-1_107075_2022-02-22_final
2022-03-08 08:18:09	ga_ls7e_ard_3-2-1_093080_2022-03-07_final
2022-03-11 10:25:13	ga_ls7e_ard_3-2-1_114074_2022-03-11_final
2022-03-20 08:40:28	ga_ls7e_ard_3-2-1_097077_2022-03-19_final
2022-03-28 09:29:09	ga_ls7e_ard_3-2-1_105077_2022-03-27_final
2022-03-29 08:34:14	ga_ls7e_ard_3-2-1_096079_2022-03-28_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