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
1999-12-04 09:39:15	ga_ls7e_ard_3-0-0_095072_1999-12-04_final
2000-01-05 09:39:38	ga_ls7e_ard_3-1-0_095073_2000-01-05_final
2001-01-06 08:57:33	ga_ls7e_ard_3-0-0_088082_2001-01-05_final
2001-03-12 09:42:18	ga_ls7e_ard_3-0-0_095086_2001-03-12_final
2003-03-18 09:35:07	ga_ls7e_ard_3-0-0_095072_2003-03-18_final
2003-11-13 09:35:21	ga_ls7e_ard_3-1-0_095073_2003-11-13_final
2004-09-28 09:35:00	ga_ls7e_ard_3-0-0_095072_2004-09-28_final
2004-11-15 09:33:21	ga_ls7e_ard_3-0-0_095067_2004-11-15_final
2005-05-09 08:56:21	ga_ls7e_ard_3-0-0_088081_2005-05-08_final
2006-05-29 09:36:28	ga_ls7e_ard_3-0-0_095072_2006-05-29_final
2007-10-07 09:41:40	ga_ls7e_ard_3-0-0_095086_2007-10-07_final
2008-05-18 09:41:10	ga_ls7e_ard_3-0-0_095084_2008-05-18_final
2008-06-19 09:36:06	ga_ls7e_ard_3-0-0_095072_2008-06-19_final
2008-10-25 09:36:26	ga_ls7e_ard_3-0-0_095075_2008-10-25_final
2009-01-13 09:42:05	ga_ls7e_ard_3-0-0_095087_2009-01-13_final
2009-01-29 09:34:10	ga_ls7e_ard_3-0-0_095067_2009-01-29_final
2009-03-02 09:36:27	ga_ls7e_ard_3-0-0_095072_2009-03-02_final
2009-10-28 09:39:33	ga_ls7e_ard_3-1-0_095079_2009-10-28_final
2011-08-30 09:00:06	ga_ls7e_ard_3-0-0_088081_2011-08-29_final
2012-01-22 09:38:24	ga_ls7e_ard_3-0-0_095067_2012-01-22_final
2012-03-10 09:38:29	ga_ls7e_ard_3-0-0_095067_2012-03-10_final
2013-09-05 09:41:56	ga_ls7e_ard_3-0-0_095072_2013-09-05_final
2013-12-10 09:48:44	ga_ls7e_ard_3-0-0_095087_2013-12-10_final
2014-02-24 11:49:31	ga_ls7e_ard_3-0-0_115079_2014-02-24_final
2014-02-28 09:43:31	ga_ls7e_ard_3-1-0_095073_2014-02-28_final
2014-10-22 11:50:52	ga_ls7e_ard_3-0-0_115079_2014-10-22_final
2016-12-18 09:54:49	ga_ls7e_ard_3-0-0_095087_2016-12-18_final
2018-06-11 11:52:35	ga_ls7e_ard_3-0-0_115079_2018-06-11_final
2018-09-19 09:49:49	ga_ls7e_ard_3-0-0_095086_2018-09-19_final
2018-10-05 09:41:52	ga_ls7e_ard_3-0-0_095067_2018-10-05_final
2018-10-05 09:47:03	ga_ls7e_ard_3-0-0_095080_2018-10-05_final
2019-02-10 09:40:23	ga_ls7e_ard_3-0-0_095072_2019-02-10_final
2019-05-17 09:35:05	ga_ls7e_ard_3-0-0_095067_2019-05-17_final
2019-09-18 11:38:09	ga_ls7e_ard_3-1-0_115078_2019-09-18_final
2021-01-29 10:00:31	ga_ls7e_ard_3-2-0_104077_2021-01-29_final
2021-02-11 11:06:20	ga_ls7e_ard_3-2-0_115074_2021-02-11_final
2021-02-12 08:34:57	ga_ls7e_ard_3-2-0_090082_2021-02-11_final
2021-02-12 10:12:38	ga_ls7e_ard_3-2-0_106079_2021-02-12_final
2021-02-17 08:50:20	ga_ls7e_ard_3-2-0_093075_2021-02-16_final
2021-02-17 10:27:13	ga_ls7e_ard_3-2-0_109070_2021-02-17_final
2021-02-28 10:09:49	ga_ls7e_ard_3-2-0_106075_2021-02-28_final
2021-03-07 08:42:34	ga_ls7e_ard_3-2-0_091090_2021-03-06_final
2021-03-08 09:18:34	ga_ls7e_ard_3-2-0_098072_2021-03-07_final
2021-03-13 09:36:19	ga_ls7e_ard_3-2-0_101071_2021-03-13_final
2021-03-17 10:51:21	ga_ls7e_ard_3-2-0_113074_2021-03-17_final
2021-03-25 08:26:47	ga_ls7e_ard_3-2-0_089085_2021-03-24_final
2021-03-31 09:26:05	ga_ls7e_ard_3-2-0_099080_2021-03-30_final
2021-04-17 08:33:03	ga_ls7e_ard_3-2-0_090090_2021-04-16_final
2021-05-22 10:33:06	ga_ls7e_ard_3-2-0_111073_2021-05-22_final
2021-06-09 10:22:49	ga_ls7e_ard_3-2-0_109082_2021-06-09_final
2021-06-28 10:50:33	ga_ls7e_ard_3-2-0_114078_2021-06-28_final
2021-06-30 10:36:26	ga_ls7e_ard_3-2-0_112074_2021-06-30_final
2021-07-01 09:43:31	ga_ls7e_ard_3-2-0_103081_2021-07-01_final
2021-07-04 08:36:29	ga_ls7e_ard_3-2-0_092084_2021-07-03_final
2021-07-10 09:32:12	ga_ls7e_ard_3-2-0_102070_2021-07-10_final
2021-07-14 10:49:36	ga_ls7e_ard_3-2-0_114079_2021-07-14_final
2021-07-16 09:00:11	ga_ls7e_ard_3-2-0_096084_2021-07-15_final
2021-07-16 10:35:04	ga_ls7e_ard_3-2-0_112074_2021-07-16_final
2021-07-17 09:38:34	ga_ls7e_ard_3-2-0_103072_2021-07-17_final
2021-07-18 08:40:52	ga_ls7e_ard_3-2-0_094067_2021-07-17_final
2021-07-25 10:26:55	ga_ls7e_ard_3-2-0_111071_2021-07-25_final
2021-07-29 08:26:58	ga_ls7e_ard_3-2-0_091081_2021-07-28_final
2021-08-07 08:22:47	ga_ls7e_ard_3-2-0_090088_2021-08-06_final
2021-08-14 08:27:32	ga_ls7e_ard_3-2-0_091086_2021-08-13_final
2021-08-20 09:27:37	ga_ls7e_ard_3-2-0_101083_2021-08-19_final
2021-08-23 08:21:46	ga_ls7e_ard_3-2-0_090089_2021-08-22_final
2021-08-30 08:26:57	ga_ls7e_ard_3-2-0_091088_2021-08-29_final
2021-08-31 09:01:45	ga_ls7e_ard_3-2-0_098067_2021-08-30_final
2021-09-01 09:48:30	ga_ls7e_ard_3-2-0_105076_2021-09-01_final
2021-09-04 08:36:41	ga_ls7e_ard_3-2-0_094067_2021-09-03_final
2021-09-06 08:31:43	ga_ls7e_ard_3-2-0_092086_2021-09-05_final
2021-09-07 10:50:11	ga_ls7e_ard_3-2-0_115077_2021-09-07_final
2021-09-08 08:15:36	ga_ls7e_ard_3-2-0_090077_2021-09-07_final
2021-09-12 09:27:48	ga_ls7e_ard_3-2-0_102073_2021-09-11_final
2021-09-15 10:01:38	ga_ls7e_ard_3-2-0_107081_2021-09-15_final
2021-10-13 10:19:53	ga_ls7e_ard_3-2-0_111071_2021-10-13_final
2021-10-16 09:16:25	ga_ls7e_ard_3-2-0_100083_2021-10-15_final
2021-10-26 08:14:54	ga_ls7e_ard_3-2-0_090086_2021-10-25_final
2021-11-03 10:38:53	ga_ls7e_ard_3-2-0_114077_2021-11-03_final
2021-11-06 09:27:26	ga_ls7e_ard_3-2-0_103069_2021-11-05_final
2021-11-11 09:47:05	ga_ls7e_ard_3-2-0_106073_2021-11-11_final
2021-11-14 08:44:00	ga_ls7e_ard_3-2-1_095086_2021-11-13_final
2021-12-02 08:25:08	ga_ls7e_ard_3-2-1_093074_2021-12-01_final
2021-12-04 09:50:40	ga_ls7e_ard_3-2-1_107072_2021-12-04_final
2021-12-04 09:55:03	ga_ls7e_ard_3-2-1_107083_2021-12-04_final
2021-12-22 09:37:23	ga_ls7e_ard_3-2-1_105074_2021-12-22_final
2022-01-07 09:33:47	ga_ls7e_ard_3-2-1_105069_2022-01-07_final
2022-01-07 09:35:47	ga_ls7e_ard_3-2-1_105074_2022-01-07_final
2022-01-18 09:17:24	ga_ls7e_ard_3-2-1_102077_2022-01-17_final
2022-01-24 08:40:56	ga_ls7e_ard_3-2-1_096080_2022-01-23_final
2022-01-28 09:55:54	ga_ls7e_ard_3-2-1_108083_2022-01-28_final
2022-01-30 08:04:52	ga_ls7e_ard_3-2-1_090084_2022-01-29_final
2022-02-03 09:13:50	ga_ls7e_ard_3-2-1_102072_2022-02-02_final
2022-02-22 08:08:20	ga_ls7e_ard_3-2-1_091083_2022-02-21_final
2022-02-22 09:42:02	ga_ls7e_ard_3-2-1_107070_2022-02-22_final
2022-03-03 09:34:35	ga_ls7e_ard_3-2-1_106069_2022-03-03_final
2022-03-15 08:24:01	ga_ls7e_ard_3-2-1_094081_2022-03-14_final
2022-03-17 08:12:39	ga_ls7e_ard_3-2-1_092084_2022-03-16_final
2022-03-21 09:25:37	ga_ls7e_ard_3-2-1_104082_2022-03-20_final
2022-04-01 09:01:39	ga_ls7e_ard_3-2-1_101071_2022-03-31_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years