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
1999-10-22 11:38:15	ga_ls7e_ard_3-0-0_114076_1999-10-22_final
2000-03-23 11:34:15	ga_ls7e_ard_3-0-0_113082_2000-03-23_final
2000-03-30 11:37:57	ga_ls7e_ard_3-1-0_114076_2000-03-30_final
2000-04-08 11:34:27	ga_ls7e_ard_3-0-0_113083_2000-04-08_final
2000-05-26 11:34:00	ga_ls7e_ard_3-0-0_113083_2000-05-26_final
2000-10-08 11:32:13	ga_ls7e_ard_3-0-0_114067_2000-10-08_final
2000-12-27 11:35:53	ga_ls7e_ard_3-0-0_114076_2000-12-27_final
2001-05-04 11:36:17	ga_ls7e_ard_3-0-0_114078_2001-05-04_final
2001-07-23 11:31:07	ga_ls7e_ard_3-0-0_114067_2001-07-23_final
2001-07-23 11:34:42	ga_ls7e_ard_3-0-0_114076_2001-07-23_final
2001-08-08 11:36:01	ga_ls7e_ard_3-0-0_114080_2001-08-08_final
2002-02-07 11:41:41	ga_ls7e_ard_3-0-0_115079_2002-02-07_final
2002-03-04 11:34:22	ga_ls7e_ard_3-0-0_114076_2002-03-04_final
2002-03-20 11:36:10	ga_ls7e_ard_3-0-0_114081_2002-03-20_final
2002-06-17 11:28:57	ga_ls7e_ard_3-0-0_113079_2002-06-17_final
2002-10-14 11:33:06	ga_ls7e_ard_3-0-0_114076_2002-10-14_final
2003-02-28 11:29:07	ga_ls7e_ard_3-0-0_113079_2003-02-28_final
2003-03-07 11:36:10	ga_ls7e_ard_3-0-0_114081_2003-03-07_final
2005-04-04 11:42:27	ga_ls7e_ard_3-0-0_115079_2005-04-04_final
2006-07-05 11:35:18	ga_ls7e_ard_3-0-0_114076_2006-07-05_final
2008-06-24 11:37:04	ga_ls7e_ard_3-0-0_114081_2008-06-24_final
2008-07-26 11:34:42	ga_ls7e_ard_3-0-0_114076_2008-07-26_final
2010-09-02 11:38:06	ga_ls7e_ard_3-0-0_114077_2010-09-02_final
2011-04-14 11:39:02	ga_ls7e_ard_3-0-0_114076_2011-04-14_final
2012-06-03 11:39:48	ga_ls7e_ard_3-0-0_114076_2012-06-03_final
2014-03-05 11:44:12	ga_ls7e_ard_3-0-0_114081_2014-03-05_final
2015-05-11 11:44:50	ga_ls7e_ard_3-0-0_114076_2015-05-11_final
2015-06-12 11:44:38	ga_ls7e_ard_3-0-0_114075_2015-06-12_final
2016-05-29 11:47:54	ga_ls7e_ard_3-0-0_114076_2016-05-29_final
2017-09-14 11:43:02	ga_ls7e_ard_3-0-0_113079_2017-09-14_final
2018-04-26 11:41:00	ga_ls7e_ard_3-0-0_113079_2018-04-26_final
2018-06-29 11:39:29	ga_ls7e_ard_3-0-0_113078_2018-06-29_final
2018-10-03 11:37:32	ga_ls7e_ard_3-0-0_113078_2018-10-03_final
2019-06-07 11:35:20	ga_ls7e_ard_3-0-0_114076_2019-06-07_final
2020-12-13 09:08:40	ga_ls7e_ard_3-1-0_095078_2020-12-12_final
2020-12-14 09:51:03	ga_ls7e_ard_3-1-0_102076_2020-12-14_final
2020-12-20 09:13:07	ga_ls7e_ard_3-1-0_096075_2020-12-19_final
2020-12-31 08:56:36	ga_ls7e_ard_3-1-0_093082_2020-12-30_final
2021-01-04 10:08:53	ga_ls7e_ard_3-1-0_105078_2021-01-04_final
2021-01-12 09:17:41	ga_ls7e_ard_3-1-0_097075_2021-01-11_final
2021-01-21 10:51:20	ga_ls7e_ard_3-2-0_112079_2021-01-21_final
2021-01-22 09:55:39	ga_ls7e_ard_3-2-0_103079_2021-01-22_final
2021-02-07 09:52:53	ga_ls7e_ard_3-2-0_103075_2021-02-07_final
2021-02-23 09:51:40	ga_ls7e_ard_3-2-0_103075_2021-02-23_final
2021-03-17 09:12:04	ga_ls7e_ard_3-2-0_097073_2021-03-16_final
2021-03-18 09:56:51	ga_ls7e_ard_3-2-0_104077_2021-03-18_final
2021-03-21 08:48:38	ga_ls7e_ard_3-2-0_093077_2021-03-20_final
2021-03-26 09:08:46	ga_ls7e_ard_3-2-0_096082_2021-03-25_final
2021-04-03 09:56:21	ga_ls7e_ard_3-2-0_104079_2021-04-03_final
2021-04-13 08:52:55	ga_ls7e_ard_3-2-0_094077_2021-04-12_final
2021-04-19 09:51:25	ga_ls7e_ard_3-2-0_104070_2021-04-19_final
2021-04-19 09:55:48	ga_ls7e_ard_3-2-0_104081_2021-04-19_final
2021-04-28 09:46:28	ga_ls7e_ard_3-2-0_103075_2021-04-28_final
2021-04-28 09:48:04	ga_ls7e_ard_3-2-0_103079_2021-04-28_final
2021-05-07 09:40:44	ga_ls7e_ard_3-2-0_102078_2021-05-07_final
2021-05-15 10:29:54	ga_ls7e_ard_3-2-0_110079_2021-05-15_final
2021-05-16 09:34:12	ga_ls7e_ard_3-2-0_101079_2021-05-16_final
2021-05-16 09:35:00	ga_ls7e_ard_3-2-0_101081_2021-05-16_final
2021-05-23 09:36:59	ga_ls7e_ard_3-2-0_102072_2021-05-23_final
2021-05-24 08:45:17	ga_ls7e_ard_3-2-0_093082_2021-05-23_final
2021-06-03 09:18:42	ga_ls7e_ard_3-2-0_099075_2021-06-02_final
2021-06-03 09:21:06	ga_ls7e_ard_3-2-0_099081_2021-06-02_final
2021-06-04 10:03:05	ga_ls7e_ard_3-2-0_106078_2021-06-04_final
2021-06-07 10:33:20	ga_ls7e_ard_3-2-0_111077_2021-06-07_final
2021-06-14 10:38:57	ga_ls7e_ard_3-2-0_112077_2021-06-14_final
2021-06-18 08:37:49	ga_ls7e_ard_3-2-0_092084_2021-06-17_final
2021-07-23 09:02:10	ga_ls7e_ard_3-2-0_097075_2021-07-22_final
2021-07-26 09:31:37	ga_ls7e_ard_3-2-0_102072_2021-07-26_final
2021-08-01 08:56:00	ga_ls7e_ard_3-2-0_096077_2021-07-31_final
2021-08-01 10:35:17	ga_ls7e_ard_3-2-0_112078_2021-08-01_final
2021-08-10 08:49:01	ga_ls7e_ard_3-2-0_095077_2021-08-09_final
2021-08-12 08:37:17	ga_ls7e_ard_3-2-0_093079_2021-08-11_final
2021-08-23 09:56:16	ga_ls7e_ard_3-2-0_106078_2021-08-23_final
2021-08-26 08:48:25	ga_ls7e_ard_3-2-0_095079_2021-08-25_final
2021-08-26 10:26:30	ga_ls7e_ard_3-2-0_111077_2021-08-26_final
2021-09-07 09:10:30	ga_ls7e_ard_3-2-0_099075_2021-09-06_final
2021-09-12 09:27:24	ga_ls7e_ard_3-2-0_102072_2021-09-11_final
2021-09-16 09:03:56	ga_ls7e_ard_3-2-0_098076_2021-09-15_final
2021-09-23 09:09:05	ga_ls7e_ard_3-2-0_099075_2021-09-22_final
2021-10-03 09:46:28	ga_ls7e_ard_3-2-0_105078_2021-10-03_final
2021-10-05 09:34:20	ga_ls7e_ard_3-2-0_103079_2021-10-05_final
2021-10-10 08:14:21	ga_ls7e_ard_3-2-0_090081_2021-10-09_final
2021-10-11 10:34:48	ga_ls7e_ard_3-2-0_113077_2021-10-11_final
2021-10-13 08:43:00	ga_ls7e_ard_3-2-0_095076_2021-10-12_final
2021-10-14 09:26:10	ga_ls7e_ard_3-2-0_102076_2021-10-13_final
2021-10-18 09:00:17	ga_ls7e_ard_3-2-0_098074_2021-10-17_final
2021-10-18 09:00:41	ga_ls7e_ard_3-2-0_098075_2021-10-17_final
2021-11-09 10:01:14	ga_ls7e_ard_3-2-0_108077_2021-11-09_final
2021-11-15 09:25:34	ga_ls7e_ard_3-2-1_102082_2021-11-14_final
2021-11-22 09:28:16	ga_ls7e_ard_3-2-1_103075_2021-11-21_final
2021-12-11 09:58:11	ga_ls7e_ard_3-2-1_108077_2021-12-11_final
2021-12-11 10:00:58	ga_ls7e_ard_3-2-1_108084_2021-12-11_final
2022-01-17 08:34:38	ga_ls7e_ard_3-2-1_095078_2022-01-16_final
2022-01-28 08:17:02	ga_ls7e_ard_3-2-1_092083_2022-01-27_final
2022-01-31 08:44:26	ga_ls7e_ard_3-2-1_097075_2022-01-30_final
2022-02-11 08:24:46	ga_ls7e_ard_3-2-1_094075_2022-02-10_final
2022-02-11 08:25:34	ga_ls7e_ard_3-2-1_094077_2022-02-10_final
2022-02-27 08:24:24	ga_ls7e_ard_3-2-1_094078_2022-02-26_final
2022-03-01 09:49:56	ga_ls7e_ard_3-2-1_108076_2022-03-01_final
2022-03-04 10:20:56	ga_ls7e_ard_3-2-1_113077_2022-03-04_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