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
2000-01-19 11:33:12	ga_ls7e_ard_3-0-0_113079_2000-01-19_final
2000-03-14 11:37:59	ga_ls7e_ard_3-0-0_114076_2000-03-14_final
2000-03-14 11:38:23	ga_ls7e_ard_3-0-0_114077_2000-03-14_final
2000-11-02 11:31:12	ga_ls7e_ard_3-1-0_113080_2000-11-02_final
2001-04-18 11:36:20	ga_ls7e_ard_3-0-0_114078_2001-04-18_final
2001-05-13 11:29:58	ga_ls7e_ard_3-0-0_113078_2001-05-13_final
2001-10-04 11:29:06	ga_ls7e_ard_3-0-0_113080_2001-10-04_final
2001-12-23 11:28:44	ga_ls7e_ard_3-0-0_113078_2001-12-23_final
2002-08-04 11:28:14	ga_ls7e_ard_3-0-0_113078_2002-08-04_final
2002-08-20 11:29:22	ga_ls7e_ard_3-0-0_113081_2002-08-20_final
2002-08-27 11:32:37	ga_ls7e_ard_3-0-0_114074_2002-08-27_final
2002-12-17 11:34:52	ga_ls7e_ard_3-0-0_114079_2002-12-17_final
2006-02-11 11:35:28	ga_ls7e_ard_3-0-0_114076_2006-02-11_final
2006-06-12 11:29:39	ga_ls7e_ard_3-0-0_113077_2006-06-12_final
2009-05-10 11:35:51	ga_ls7e_ard_3-0-0_114076_2009-05-10_final
2009-08-23 11:29:25	ga_ls7e_ard_3-0-0_113076_2009-08-23_final
2010-03-03 11:31:18	ga_ls7e_ard_3-0-0_113076_2010-03-03_final
2010-09-11 11:31:56	ga_ls7e_ard_3-0-0_113077_2010-09-11_final
2011-05-09 11:32:51	ga_ls7e_ard_3-0-0_113076_2011-05-09_final
2011-07-12 11:32:46	ga_ls7e_ard_3-0-0_113076_2011-07-12_final
2011-08-29 11:33:49	ga_ls7e_ard_3-0-0_113079_2011-08-29_final
2011-09-14 11:32:31	ga_ls7e_ard_3-0-0_113076_2011-09-14_final
2013-04-19 11:41:23	ga_ls7e_ard_3-0-0_114076_2013-04-19_final
2013-04-28 11:36:21	ga_ls7e_ard_3-0-0_113079_2013-04-28_final
2013-10-05 11:35:55	ga_ls7e_ard_3-0-0_113078_2013-10-05_final
2014-03-05 11:44:12	ga_ls7e_ard_3-0-0_114081_2014-03-05_final
2014-05-17 11:36:11	ga_ls7e_ard_3-0-0_113075_2014-05-17_final
2014-06-18 11:37:02	ga_ls7e_ard_3-0-0_113077_2014-06-18_final
2014-07-27 11:43:02	ga_ls7e_ard_3-0-0_114076_2014-07-27_final
2014-11-09 11:40:41	ga_ls7e_ard_3-0-0_113084_2014-11-09_final
2016-01-31 11:41:50	ga_ls7e_ard_3-0-0_113078_2016-01-31_final
2016-08-01 11:48:02	ga_ls7e_ard_3-0-0_114076_2016-08-01_final
2017-03-22 11:41:27	ga_ls7e_ard_3-0-0_113076_2017-03-22_final
2017-04-23 11:42:02	ga_ls7e_ard_3-0-0_113077_2017-04-23_final
2017-05-09 11:42:55	ga_ls7e_ard_3-0-0_113079_2017-05-09_final
2017-09-21 11:48:00	ga_ls7e_ard_3-0-0_114076_2017-09-21_final
2018-07-31 11:37:42	ga_ls7e_ard_3-0-0_113075_2018-07-31_final
2019-08-26 11:32:11	ga_ls7e_ard_3-1-0_114076_2019-08-26_final
2020-02-11 11:18:52	ga_ls7e_ard_3-1-0_113078_2020-02-11_final
2020-11-22 10:30:09	ga_ls7e_ard_3-1-0_108077_2020-11-22_final
2020-11-30 09:41:44	ga_ls7e_ard_3-1-0_100081_2020-11-30_final
2020-12-04 09:17:31	ga_ls7e_ard_3-1-0_096083_2020-12-03_final
2020-12-12 10:03:10	ga_ls7e_ard_3-1-0_104075_2020-12-12_final
2020-12-15 10:35:26	ga_ls7e_ard_3-1-0_109079_2020-12-15_final
2020-12-20 09:13:07	ga_ls7e_ard_3-1-0_096075_2020-12-19_final
2020-12-22 10:41:04	ga_ls7e_ard_3-1-0_110079_2020-12-22_final
2020-12-23 09:45:47	ga_ls7e_ard_3-1-0_101080_2020-12-23_final
2020-12-24 10:27:22	ga_ls7e_ard_3-1-0_108076_2020-12-24_final
2020-12-28 10:04:23	ga_ls7e_ard_3-1-0_104081_2020-12-28_final
2021-01-09 10:27:04	ga_ls7e_ard_3-1-0_108078_2021-01-09_final
2021-01-23 08:59:09	ga_ls7e_ard_3-2-0_094077_2021-01-22_final
2021-01-25 10:25:56	ga_ls7e_ard_3-2-0_108078_2021-01-25_final
2021-02-16 09:47:37	ga_ls7e_ard_3-2-0_102079_2021-02-16_final
2021-04-07 09:32:06	ga_ls7e_ard_3-2-0_100081_2021-04-07_final
2021-04-11 10:45:07	ga_ls7e_ard_3-2-0_112079_2021-04-11_final
2021-04-15 10:19:40	ga_ls7e_ard_3-2-0_108078_2021-04-15_final
2021-04-27 10:42:58	ga_ls7e_ard_3-2-0_112077_2021-04-27_final
2021-04-28 09:46:28	ga_ls7e_ard_3-2-0_103075_2021-04-28_final
2021-05-04 09:09:17	ga_ls7e_ard_3-2-0_097076_2021-05-03_final
2021-05-04 10:47:46	ga_ls7e_ard_3-2-0_113075_2021-05-04_final
2021-05-07 09:39:56	ga_ls7e_ard_3-2-0_102076_2021-05-07_final
2021-05-13 09:04:45	ga_ls7e_ard_3-2-0_096082_2021-05-12_final
2021-05-20 10:47:13	ga_ls7e_ard_3-2-0_113077_2021-05-20_final
2021-05-24 08:45:40	ga_ls7e_ard_3-2-0_093083_2021-05-23_final
2021-05-31 08:48:51	ga_ls7e_ard_3-2-0_094077_2021-05-30_final
2021-05-31 08:51:15	ga_ls7e_ard_3-2-0_094083_2021-05-30_final
2021-07-10 09:34:35	ga_ls7e_ard_3-2-0_102076_2021-07-10_final
2021-07-11 08:41:17	ga_ls7e_ard_3-2-0_093082_2021-07-10_final
2021-07-23 09:02:34	ga_ls7e_ard_3-2-0_097076_2021-07-22_final
2021-07-24 09:42:57	ga_ls7e_ard_3-2-0_104069_2021-07-24_final
2021-07-30 09:06:56	ga_ls7e_ard_3-2-0_098073_2021-07-29_final
2021-08-07 09:57:40	ga_ls7e_ard_3-2-0_106078_2021-08-07_final
2021-08-19 08:42:50	ga_ls7e_ard_3-2-0_094079_2021-08-18_final
2021-08-22 09:11:53	ga_ls7e_ard_3-2-0_099075_2021-08-21_final
2021-09-01 09:50:06	ga_ls7e_ard_3-2-0_105080_2021-09-01_final
2021-09-02 08:51:12	ga_ls7e_ard_3-2-0_096072_2021-09-01_final
2021-09-05 09:25:02	ga_ls7e_ard_3-2-0_101080_2021-09-04_final
2021-09-10 09:40:44	ga_ls7e_ard_3-2-0_104074_2021-09-10_final
2021-09-15 10:02:02	ga_ls7e_ard_3-2-0_107082_2021-09-15_final
2021-09-18 10:31:04	ga_ls7e_ard_3-2-0_112078_2021-09-18_final
2021-09-19 09:35:45	ga_ls7e_ard_3-2-0_103079_2021-09-19_final
2021-11-15 09:25:34	ga_ls7e_ard_3-2-1_102082_2021-11-14_final
2021-11-16 08:28:39	ga_ls7e_ard_3-2-1_093079_2021-11-15_final
2021-11-19 08:58:04	ga_ls7e_ard_3-2-1_098076_2021-11-18_final
2022-01-02 09:19:20	ga_ls7e_ard_3-2-1_102078_2022-01-01_final
2022-01-08 08:40:28	ga_ls7e_ard_3-2-1_096075_2022-01-07_final
2022-01-14 09:44:30	ga_ls7e_ard_3-2-1_106082_2022-01-14_final
2022-01-24 08:38:33	ga_ls7e_ard_3-2-1_096074_2022-01-23_final
2022-01-24 10:19:01	ga_ls7e_ard_3-2-1_112078_2022-01-24_final
2022-01-26 10:06:52	ga_ls7e_ard_3-2-1_110079_2022-01-26_final
2022-01-28 08:16:38	ga_ls7e_ard_3-2-1_092082_2022-01-27_final
2022-02-09 10:17:49	ga_ls7e_ard_3-2-1_112079_2022-02-09_final
2022-02-11 08:25:34	ga_ls7e_ard_3-2-1_094077_2022-02-10_final
2022-02-16 10:22:28	ga_ls7e_ard_3-2-1_113077_2022-02-16_final
2022-02-22 09:46:25	ga_ls7e_ard_3-2-1_107081_2022-02-22_final
2022-02-25 08:36:33	ga_ls7e_ard_3-2-1_096077_2022-02-24_final
2022-02-26 09:18:31	ga_ls7e_ard_3-2-1_103074_2022-02-25_final
2022-02-26 09:18:55	ga_ls7e_ard_3-2-1_103075_2022-02-25_final
2022-03-29 08:32:38	ga_ls7e_ard_3-2-1_096075_2022-03-28_final
2022-03-31 08:20:53	ga_ls7e_ard_3-2-1_094077_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years