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
1999-10-29 11:44:29	ga_ls7e_ard_3-0-0_115076_1999-10-29_final
2000-09-13 11:42:15	ga_ls7e_ard_3-0-0_115076_2000-09-13_final
2001-11-28 11:35:11	ga_ls7e_ard_3-0-0_114079_2001-11-28_final
2002-01-29 11:47:22	ga_ls7e_ard_3-0-0_116078_2002-01-29_final
2002-06-08 11:34:48	ga_ls7e_ard_3-0-0_114078_2002-06-08_final
2003-01-18 11:35:05	ga_ls7e_ard_3-0-0_114079_2003-01-18_final
2004-04-10 11:36:14	ga_ls7e_ard_3-0-0_114080_2004-04-10_final
2004-07-31 11:34:16	ga_ls7e_ard_3-0-0_114076_2004-07-31_final
2004-10-19 11:34:06	ga_ls7e_ard_3-0-0_114076_2004-10-19_final
2006-12-28 11:35:38	ga_ls7e_ard_3-0-0_114076_2006-12-28_final
2007-07-24 11:35:35	ga_ls7e_ard_3-0-0_114076_2007-07-24_final
2009-11-02 11:35:51	ga_ls7e_ard_3-0-0_114076_2009-11-02_final
2010-05-04 11:44:11	ga_ls7e_ard_3-0-0_115077_2010-05-04_final
2010-07-07 11:44:13	ga_ls7e_ard_3-0-0_115077_2010-07-07_final
2012-02-12 11:40:21	ga_ls7e_ard_3-0-0_114078_2012-02-12_final
2013-06-06 11:41:54	ga_ls7e_ard_3-0-0_114078_2013-06-06_final
2014-10-22 11:50:04	ga_ls7e_ard_3-1-0_115077_2014-10-22_final
2015-05-27 11:46:53	ga_ls7e_ard_3-0-0_114081_2015-05-27_final
2015-07-30 11:45:11	ga_ls7e_ard_3-0-0_114076_2015-07-30_final
2015-11-26 11:52:52	ga_ls7e_ard_3-0-0_115077_2015-11-26_final
2016-01-22 11:48:20	ga_ls7e_ard_3-0-0_114079_2016-01-22_final
2016-12-07 11:49:06	ga_ls7e_ard_3-0-0_114079_2016-12-07_final
2017-07-03 11:48:53	ga_ls7e_ard_3-0-0_114078_2017-07-03_final
2018-02-28 11:47:36	ga_ls7e_ard_3-0-0_114078_2018-02-28_final
2019-03-10 11:45:07	ga_ls7e_ard_3-1-0_115077_2019-03-10_final
2019-09-18 11:37:45	ga_ls7e_ard_3-1-0_115077_2019-09-18_final
2020-05-08 11:20:58	ga_ls7e_ard_3-1-0_114080_2020-05-08_final
2020-07-27 11:15:22	ga_ls7e_ard_3-1-0_114078_2020-07-27_final
2020-11-28 09:53:26	ga_ls7e_ard_3-1-0_102079_2020-11-28_final
2020-12-04 10:54:00	ga_ls7e_ard_3-1-0_112077_2020-12-04_final
2020-12-04 10:55:36	ga_ls7e_ard_3-1-0_112081_2020-12-04_final
2020-12-05 10:00:18	ga_ls7e_ard_3-1-0_103082_2020-12-05_final
2020-12-17 10:20:07	ga_ls7e_ard_3-1-0_107072_2020-12-17_final
2020-12-29 10:48:46	ga_ls7e_ard_3-1-0_111084_2020-12-29_final
2020-12-31 08:55:48	ga_ls7e_ard_3-1-0_093080_2020-12-30_final
2021-01-07 10:36:47	ga_ls7e_ard_3-1-0_110071_2021-01-07_final
2021-01-12 09:17:17	ga_ls7e_ard_3-1-0_097074_2021-01-11_final
2021-01-12 09:20:52	ga_ls7e_ard_3-1-0_097083_2021-01-11_final
2021-01-14 10:47:39	ga_ls7e_ard_3-1-0_111084_2021-01-14_final
2021-01-19 09:22:58	ga_ls7e_ard_3-1-0_098074_2021-01-18_final
2021-01-21 09:10:28	ga_ls7e_ard_3-2-0_096074_2021-01-20_final
2021-01-22 09:55:15	ga_ls7e_ard_3-2-0_103078_2021-01-22_final
2021-02-01 08:53:31	ga_ls7e_ard_3-2-0_093080_2021-01-31_final
2021-02-06 09:08:06	ga_ls7e_ard_3-2-0_096071_2021-02-05_final
2021-02-08 09:00:22	ga_ls7e_ard_3-2-0_094083_2021-02-07_final
2021-02-10 08:50:16	ga_ls7e_ard_3-2-0_092089_2021-02-09_final
2021-02-15 10:43:19	ga_ls7e_ard_3-2-0_111079_2021-02-15_final
2021-02-17 08:52:19	ga_ls7e_ard_3-2-0_093080_2021-02-16_final
2021-02-24 08:57:58	ga_ls7e_ard_3-2-0_094080_2021-02-23_final
2021-02-26 10:20:45	ga_ls7e_ard_3-2-0_108071_2021-02-26_final
2021-04-02 09:15:34	ga_ls7e_ard_3-2-0_097085_2021-04-01_final
2021-04-09 09:19:34	ga_ls7e_ard_3-2-0_098081_2021-04-08_final
2021-04-14 09:34:30	ga_ls7e_ard_3-2-0_101073_2021-04-14_final
2021-04-19 09:50:37	ga_ls7e_ard_3-2-0_104068_2021-04-19_final
2021-05-01 10:19:55	ga_ls7e_ard_3-2-0_108082_2021-05-01_final
2021-05-15 08:51:25	ga_ls7e_ard_3-2-0_094080_2021-05-14_final
2021-05-20 09:10:44	ga_ls7e_ard_3-2-0_097083_2021-05-19_final
2021-05-26 08:35:08	ga_ls7e_ard_3-2-0_091088_2021-05-25_final
2021-05-31 10:28:08	ga_ls7e_ard_3-2-0_110078_2021-05-31_final
2021-06-09 10:18:49	ga_ls7e_ard_3-2-0_109072_2021-06-09_final
2021-06-22 09:47:39	ga_ls7e_ard_3-2-0_104074_2021-06-22_final
2021-06-23 10:28:27	ga_ls7e_ard_3-2-0_111068_2021-06-23_final
2021-06-28 10:46:10	ga_ls7e_ard_3-2-0_114067_2021-06-28_final
2021-07-06 08:23:10	ga_ls7e_ard_3-2-0_090082_2021-07-05_final
2021-07-08 09:48:19	ga_ls7e_ard_3-2-0_104079_2021-07-08_final
2021-07-19 09:29:38	ga_ls7e_ard_3-2-0_101081_2021-07-18_final
2021-08-01 10:34:53	ga_ls7e_ard_3-2-0_112077_2021-08-01_final
2021-08-05 08:30:56	ga_ls7e_ard_3-2-0_092077_2021-08-04_final
2021-08-10 08:50:37	ga_ls7e_ard_3-2-0_095081_2021-08-09_final
2021-08-18 09:38:09	ga_ls7e_ard_3-2-0_103078_2021-08-18_final
2021-08-24 09:01:45	ga_ls7e_ard_3-2-0_097081_2021-08-23_final
2021-08-31 09:07:20	ga_ls7e_ard_3-2-0_098081_2021-08-30_final
2021-09-20 08:38:51	ga_ls7e_ard_3-2-0_094076_2021-09-19_final
2021-09-27 08:46:47	ga_ls7e_ard_3-2-0_095082_2021-09-26_final
2021-09-27 10:24:28	ga_ls7e_ard_3-2-0_111079_2021-09-27_final
2021-09-28 09:25:58	ga_ls7e_ard_3-2-0_102072_2021-09-27_final
2021-09-29 10:09:08	ga_ls7e_ard_3-2-0_109072_2021-09-29_final
2021-10-09 09:10:52	ga_ls7e_ard_3-2-0_099083_2021-10-08_final
2021-10-18 09:03:05	ga_ls7e_ard_3-2-0_098081_2021-10-17_final
2021-10-22 08:38:48	ga_ls7e_ard_3-2-0_094083_2021-10-21_final
2021-10-24 10:03:32	ga_ls7e_ard_3-2-0_108079_2021-10-24_final
2021-10-31 08:30:35	ga_ls7e_ard_3-2-0_093080_2021-10-30_final
2021-11-02 08:22:02	ga_ls7e_ard_3-2-0_091090_2021-11-01_final
2021-11-03 10:40:05	ga_ls7e_ard_3-2-0_114080_2021-11-03_final
2021-12-02 10:05:12	ga_ls7e_ard_3-2-1_109077_2021-12-02_final
2021-12-09 08:34:15	ga_ls7e_ard_3-2-1_094083_2021-12-08_final
2021-12-12 09:02:04	ga_ls7e_ard_3-2-1_099076_2021-12-11_final
2021-12-18 10:02:05	ga_ls7e_ard_3-2-1_109073_2021-12-18_final
2021-12-19 09:09:10	ga_ls7e_ard_3-2-1_100080_2021-12-18_final
2021-12-21 08:54:37	ga_ls7e_ard_3-2-1_098075_2021-12-20_final
2022-01-03 10:03:17	ga_ls7e_ard_3-2-1_109080_2022-01-03_final
2022-01-05 08:11:02	ga_ls7e_ard_3-2-1_091078_2022-01-04_final
2022-02-19 09:12:13	ga_ls7e_ard_3-2-1_102072_2022-02-18_final
2022-03-10 09:43:16	ga_ls7e_ard_3-2-1_107077_2022-03-10_final
2022-03-10 09:44:04	ga_ls7e_ard_3-2-1_107079_2022-03-10_final
2022-03-11 08:50:44	ga_ls7e_ard_3-2-1_098085_2022-03-10_final
2022-03-15 08:22:01	ga_ls7e_ard_3-2-1_094076_2022-03-14_final
2022-03-17 08:11:03	ga_ls7e_ard_3-2-1_092080_2022-03-16_final
2022-03-22 10:03:12	ga_ls7e_ard_3-2-1_111068_2022-03-22_final
2022-03-22 10:05:36	ga_ls7e_ard_3-2-1_111074_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