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
1999-09-11 11:43:41	ga_ls7e_ard_3-0-0_115074_1999-09-11_final
2001-03-08 11:41:56	ga_ls7e_ard_3-0-0_115076_2001-03-08_final
2001-05-11 11:40:46	ga_ls7e_ard_3-0-0_115074_2001-05-11_final
2001-05-27 11:41:25	ga_ls7e_ard_3-0-0_115076_2001-05-27_final
2001-06-12 11:41:13	ga_ls7e_ard_3-0-0_115076_2001-06-12_final
2002-01-06 11:39:54	ga_ls7e_ard_3-0-0_115075_2002-01-06_final
2002-07-01 11:41:14	ga_ls7e_ard_3-0-0_115079_2002-07-01_final
2002-11-22 11:40:32	ga_ls7e_ard_3-0-0_115078_2002-11-22_final
2003-03-14 11:40:20	ga_ls7e_ard_3-0-0_115076_2003-03-14_final
2003-08-21 11:40:00	ga_ls7e_ard_3-0-0_115076_2003-08-21_final
2003-09-22 11:39:48	ga_ls7e_ard_3-0-0_115076_2003-09-22_final
2004-08-23 11:41:35	ga_ls7e_ard_3-0-0_115079_2004-08-23_final
2006-12-03 11:41:18	ga_ls7e_ard_3-0-0_115075_2006-12-03_final
2007-12-06 11:41:28	ga_ls7e_ard_3-0-0_115075_2007-12-06_final
2008-01-07 11:42:45	ga_ls7e_ard_3-0-0_115078_2008-01-07_final
2009-09-22 11:41:21	ga_ls7e_ard_3-0-0_115075_2009-09-22_final
2009-12-27 11:42:49	ga_ls7e_ard_3-0-0_115076_2009-12-27_final
2010-06-05 11:42:56	ga_ls7e_ard_3-0-0_115074_2010-06-05_final
2010-09-02 11:39:42	ga_ls7e_ard_3-0-0_114081_2010-09-02_final
2010-12-30 11:45:09	ga_ls7e_ard_3-1-0_115077_2010-12-30_final
2011-04-05 11:45:38	ga_ls7e_ard_3-1-0_115077_2011-04-05_final
2012-08-29 11:46:04	ga_ls7e_ard_3-0-0_115074_2012-08-29_final
2012-12-19 11:48:31	ga_ls7e_ard_3-0-0_115078_2012-12-19_final
2013-11-13 11:43:12	ga_ls7e_ard_3-0-0_114080_2013-11-13_final
2015-08-22 11:52:15	ga_ls7e_ard_3-0-0_115078_2015-08-22_final
2016-07-23 11:55:00	ga_ls7e_ard_3-0-0_115078_2016-07-23_final
2017-03-20 11:53:00	ga_ls7e_ard_3-0-0_115074_2017-03-20_final
2017-03-20 11:54:36	ga_ls7e_ard_3-0-0_115078_2017-03-20_final
2017-12-01 11:53:18	ga_ls7e_ard_3-0-0_115074_2017-12-01_final
2020-11-28 09:50:39	ga_ls7e_ard_3-1-0_102072_2020-11-28_final
2020-12-10 10:13:41	ga_ls7e_ard_3-1-0_106070_2020-12-10_final
2020-12-13 09:11:04	ga_ls7e_ard_3-1-0_095084_2020-12-12_final
2020-12-14 09:52:39	ga_ls7e_ard_3-1-0_102080_2020-12-14_final
2020-12-15 08:54:57	ga_ls7e_ard_3-1-0_093075_2020-12-14_final
2020-12-26 10:12:53	ga_ls7e_ard_3-1-0_106071_2020-12-26_final
2020-12-31 10:33:29	ga_ls7e_ard_3-1-0_109077_2020-12-31_final
2021-01-02 08:46:53	ga_ls7e_ard_3-1-0_091089_2021-01-01_final
2021-01-18 10:19:51	ga_ls7e_ard_3-1-0_107077_2021-01-18_final
2021-01-24 09:41:57	ga_ls7e_ard_3-2-0_101076_2021-01-24_final
2021-01-25 08:47:51	ga_ls7e_ard_3-2-0_092080_2021-01-24_final
2021-01-26 09:30:38	ga_ls7e_ard_3-2-0_099079_2021-01-26_final
2021-02-08 10:35:40	ga_ls7e_ard_3-2-0_110074_2021-02-08_final
2021-02-11 11:07:56	ga_ls7e_ard_3-2-0_115078_2021-02-11_final
2021-02-12 10:12:38	ga_ls7e_ard_3-2-0_106079_2021-02-12_final
2021-03-08 09:22:57	ga_ls7e_ard_3-2-0_098083_2021-03-07_final
2021-03-23 10:12:11	ga_ls7e_ard_3-2-0_107070_2021-03-23_final
2021-03-29 09:35:01	ga_ls7e_ard_3-2-0_101071_2021-03-29_final
2021-04-01 10:09:40	ga_ls7e_ard_3-2-0_106081_2021-04-01_final
2021-04-26 08:24:30	ga_ls7e_ard_3-2-0_089086_2021-04-25_final
2021-04-26 10:01:47	ga_ls7e_ard_3-2-0_105082_2021-04-26_final
2021-04-27 09:02:29	ga_ls7e_ard_3-2-0_096073_2021-04-26_final
2021-05-06 10:35:38	ga_ls7e_ard_3-2-0_111076_2021-05-06_final
2021-05-19 10:04:03	ga_ls7e_ard_3-2-0_106077_2021-05-19_final
2021-06-04 10:05:04	ga_ls7e_ard_3-2-0_106083_2021-06-04_final
2021-06-07 08:56:51	ga_ls7e_ard_3-2-0_095083_2021-06-06_final
2021-06-11 08:31:25	ga_ls7e_ard_3-2-0_091082_2021-06-10_final
2021-06-13 08:17:18	ga_ls7e_ard_3-2-0_089078_2021-06-12_final
2021-06-28 10:50:57	ga_ls7e_ard_3-2-0_114079_2021-06-28_final
2021-06-29 09:56:03	ga_ls7e_ard_3-2-0_105081_2021-06-29_final
2021-07-01 09:43:31	ga_ls7e_ard_3-2-0_103081_2021-07-01_final
2021-07-14 09:10:19	ga_ls7e_ard_3-2-0_098078_2021-07-13_final
2021-07-21 10:53:11	ga_ls7e_ard_3-2-0_115074_2021-07-21_final
2021-08-10 10:28:18	ga_ls7e_ard_3-2-0_111078_2021-08-10_final
2021-08-12 10:14:34	ga_ls7e_ard_3-2-0_109075_2021-08-12_final
2021-08-19 08:46:02	ga_ls7e_ard_3-2-0_094087_2021-08-18_final
2021-08-26 10:28:30	ga_ls7e_ard_3-2-0_111082_2021-08-26_final
2021-08-30 08:26:09	ga_ls7e_ard_3-2-0_091086_2021-08-29_final
2021-09-03 09:37:58	ga_ls7e_ard_3-2-0_103081_2021-09-03_final
2021-09-12 09:28:12	ga_ls7e_ard_3-2-0_102074_2021-09-11_final
2021-09-16 09:07:31	ga_ls7e_ard_3-2-0_098085_2021-09-15_final
2021-09-19 09:32:58	ga_ls7e_ard_3-2-0_103072_2021-09-19_final
2021-10-02 08:58:54	ga_ls7e_ard_3-2-0_098067_2021-10-01_final
2021-10-08 08:27:41	ga_ls7e_ard_3-2-0_092083_2021-10-07_final
2021-10-20 08:46:33	ga_ls7e_ard_3-2-0_096071_2021-10-19_final
2021-10-30 09:26:18	ga_ls7e_ard_3-2-0_102080_2021-10-29_final
2021-10-31 10:07:04	ga_ls7e_ard_3-2-0_109074_2021-10-31_final
2021-11-02 08:19:14	ga_ls7e_ard_3-2-0_091083_2021-11-01_final
2021-11-03 08:58:49	ga_ls7e_ard_3-2-0_098074_2021-11-02_final
2021-11-05 10:25:32	ga_ls7e_ard_3-2-0_112075_2021-11-05_final
2021-11-07 10:12:12	ga_ls7e_ard_3-2-0_110073_2021-11-07_final
2021-11-15 09:23:34	ga_ls7e_ard_3-2-1_102077_2021-11-14_final
2021-11-17 09:09:25	ga_ls7e_ard_3-2-1_100073_2021-11-16_final
2021-12-02 08:25:32	ga_ls7e_ard_3-2-1_093075_2021-12-01_final
2021-12-04 09:55:03	ga_ls7e_ard_3-2-1_107083_2021-12-04_final
2021-12-11 08:22:30	ga_ls7e_ard_3-2-1_092085_2021-12-10_final
2021-12-16 08:38:57	ga_ls7e_ard_3-2-1_095081_2021-12-15_final
2021-12-20 09:52:20	ga_ls7e_ard_3-2-1_107080_2021-12-20_final
2021-12-27 09:59:25	ga_ls7e_ard_3-2-1_108084_2021-12-27_final
2021-12-29 09:46:03	ga_ls7e_ard_3-2-1_106082_2021-12-29_final
2022-01-14 09:39:19	ga_ls7e_ard_3-2-1_106069_2022-01-14_final
2022-01-22 08:49:54	ga_ls7e_ard_3-2-1_098071_2022-01-21_final
2022-01-26 08:26:47	ga_ls7e_ard_3-2-1_094076_2022-01-25_final
2022-01-28 08:16:38	ga_ls7e_ard_3-2-1_092082_2022-01-27_final
2022-02-05 09:01:40	ga_ls7e_ard_3-2-1_100073_2022-02-04_final
2022-02-16 08:40:48	ga_ls7e_ard_3-2-1_097070_2022-02-15_final
2022-02-20 09:55:46	ga_ls7e_ard_3-2-1_109073_2022-02-20_final
2022-03-01 08:11:51	ga_ls7e_ard_3-2-1_092078_2022-02-28_final
2022-03-10 09:43:40	ga_ls7e_ard_3-2-1_107078_2022-03-10_final
2022-03-18 08:54:36	ga_ls7e_ard_3-2-1_099081_2022-03-17_final
2022-03-21 09:24:50	ga_ls7e_ard_3-2-1_104080_2022-03-20_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