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
1999-12-16 11:44:10	ga_ls7e_ard_3-0-0_115075_1999-12-16_final
2001-02-04 11:42:50	ga_ls7e_ard_3-0-0_115078_2001-02-04_final
2003-01-02 11:33:22	ga_ls7e_ard_3-0-0_114075_2003-01-02_final
2004-02-06 11:36:07	ga_ls7e_ard_3-0-0_114080_2004-02-06_final
2004-04-26 11:36:10	ga_ls7e_ard_3-0-0_114080_2004-04-26_final
2004-06-20 11:39:50	ga_ls7e_ard_3-0-0_115074_2004-06-20_final
2004-11-20 11:35:36	ga_ls7e_ard_3-0-0_114079_2004-11-20_final
2005-07-02 11:35:14	ga_ls7e_ard_3-0-0_114077_2005-07-02_final
2005-10-13 11:39:54	ga_ls7e_ard_3-0-0_115074_2005-10-13_final
2006-08-29 11:42:02	ga_ls7e_ard_3-0-0_115078_2006-08-29_final
2007-03-25 11:42:08	ga_ls7e_ard_3-0-0_115076_2007-03-25_final
2007-04-19 11:36:43	ga_ls7e_ard_3-0-0_114078_2007-04-19_final
2007-07-31 11:40:56	ga_ls7e_ard_3-0-0_115074_2007-07-31_final
2007-10-19 11:41:50	ga_ls7e_ard_3-0-0_115077_2007-10-19_final
2007-11-04 11:40:49	ga_ls7e_ard_3-0-0_115074_2007-11-04_final
2009-12-11 11:41:43	ga_ls7e_ard_3-0-0_115074_2009-12-11_final
2012-01-11 11:41:27	ga_ls7e_ard_3-0-0_114081_2012-01-11_final
2014-03-12 11:47:37	ga_ls7e_ard_3-0-0_115074_2014-03-12_final
2014-03-12 11:48:01	ga_ls7e_ard_3-0-0_115075_2014-03-12_final
2014-10-15 11:45:23	ga_ls7e_ard_3-0-0_114081_2014-10-15_final
2014-12-25 11:49:20	ga_ls7e_ard_3-0-0_115074_2014-12-25_final
2015-03-15 11:49:46	ga_ls7e_ard_3-0-0_115074_2015-03-15_final
2015-03-31 11:51:28	ga_ls7e_ard_3-0-0_115078_2015-03-31_final
2015-08-06 11:51:01	ga_ls7e_ard_3-0-0_115075_2015-08-06_final
2015-08-15 11:44:52	ga_ls7e_ard_3-0-0_114075_2015-08-15_final
2015-09-07 11:52:17	ga_ls7e_ard_3-0-0_115078_2015-09-07_final
2016-10-11 11:53:34	ga_ls7e_ard_3-0-0_115074_2016-10-11_final
2017-12-01 11:53:42	ga_ls7e_ard_3-0-0_115075_2017-12-01_final
2018-02-28 11:48:24	ga_ls7e_ard_3-0-0_114080_2018-02-28_final
2018-04-01 11:46:00	ga_ls7e_ard_3-0-0_114075_2018-04-01_final
2018-07-06 11:46:19	ga_ls7e_ard_3-0-0_114080_2018-07-06_final
2019-01-14 11:39:51	ga_ls7e_ard_3-0-0_114075_2019-01-14_final
2019-03-26 11:43:47	ga_ls7e_ard_3-1-0_115075_2019-03-26_final
2019-08-17 11:39:32	ga_ls7e_ard_3-0-0_115078_2019-08-17_final
2020-11-29 10:33:26	ga_ls7e_ard_3-1-0_109071_2020-11-29_final
2020-11-30 09:39:44	ga_ls7e_ard_3-1-0_100076_2020-11-30_final
2020-12-04 09:18:43	ga_ls7e_ard_3-1-0_096086_2020-12-03_final
2020-12-04 10:52:48	ga_ls7e_ard_3-1-0_112074_2020-12-04_final
2020-12-26 08:39:12	ga_ls7e_ard_3-1-0_090084_2020-12-25_final
2021-01-06 09:53:59	ga_ls7e_ard_3-1-0_103072_2021-01-06_final
2021-01-14 10:47:39	ga_ls7e_ard_3-1-0_111084_2021-01-14_final
2021-01-16 10:33:57	ga_ls7e_ard_3-1-0_109081_2021-01-16_final
2021-01-16 10:34:21	ga_ls7e_ard_3-1-0_109082_2021-01-16_final
2021-01-18 08:40:58	ga_ls7e_ard_3-1-0_091077_2021-01-17_final
2021-01-29 10:00:31	ga_ls7e_ard_3-2-0_104077_2021-01-29_final
2021-02-03 10:21:29	ga_ls7e_ard_3-2-0_107084_2021-02-03_final
2021-02-04 11:03:04	ga_ls7e_ard_3-2-0_114080_2021-02-04_final
2021-02-12 10:08:39	ga_ls7e_ard_3-2-0_106069_2021-02-12_final
2021-02-15 09:07:14	ga_ls7e_ard_3-2-0_095086_2021-02-14_final
2021-02-16 09:43:14	ga_ls7e_ard_3-2-0_102068_2021-02-16_final
2021-02-16 09:44:02	ga_ls7e_ard_3-2-0_102070_2021-02-16_final
2021-02-20 09:24:59	ga_ls7e_ard_3-2-0_098085_2021-02-19_final
2021-02-24 10:34:27	ga_ls7e_ard_3-2-0_110074_2021-02-24_final
2021-03-01 09:16:07	ga_ls7e_ard_3-2-0_097080_2021-02-28_final
2021-03-15 11:04:16	ga_ls7e_ard_3-2-0_115075_2021-03-15_final
2021-03-16 10:07:46	ga_ls7e_ard_3-2-0_106073_2021-03-16_final
2021-03-24 09:20:29	ga_ls7e_ard_3-2-0_098080_2021-03-23_final
2021-03-25 10:02:04	ga_ls7e_ard_3-2-0_105076_2021-03-25_final
2021-03-31 09:22:30	ga_ls7e_ard_3-2-0_099071_2021-03-30_final
2021-03-31 11:04:10	ga_ls7e_ard_3-2-0_115078_2021-03-31_final
2021-04-08 08:39:35	ga_ls7e_ard_3-2-0_091089_2021-04-07_final
2021-04-09 09:15:35	ga_ls7e_ard_3-2-0_098071_2021-04-08_final
2021-04-16 09:24:22	ga_ls7e_ard_3-2-0_099079_2021-04-15_final
2021-04-17 08:28:16	ga_ls7e_ard_3-2-0_090078_2021-04-16_final
2021-04-20 10:36:11	ga_ls7e_ard_3-2-0_111074_2021-04-20_final
2021-04-25 09:14:14	ga_ls7e_ard_3-2-0_098071_2021-04-24_final
2021-04-30 09:34:44	ga_ls7e_ard_3-2-0_101077_2021-04-30_final
2021-05-01 10:17:07	ga_ls7e_ard_3-2-0_108075_2021-05-01_final
2021-05-02 09:23:01	ga_ls7e_ard_3-2-0_099079_2021-05-01_final
2021-05-17 10:13:47	ga_ls7e_ard_3-2-0_108070_2021-05-17_final
2021-05-24 08:46:52	ga_ls7e_ard_3-2-0_093086_2021-05-23_final
2021-06-12 09:13:24	ga_ls7e_ard_3-2-0_098079_2021-06-11_final
2021-08-15 09:03:08	ga_ls7e_ard_3-2-0_098067_2021-08-14_final
2021-09-06 10:05:49	ga_ls7e_ard_3-2-0_108074_2021-09-06_final
2021-09-08 09:51:17	ga_ls7e_ard_3-2-0_106069_2021-09-08_final
2021-10-16 09:11:38	ga_ls7e_ard_3-2-0_100071_2021-10-15_final
2021-10-22 10:17:40	ga_ls7e_ard_3-2-0_110083_2021-10-22_final
2021-11-03 09:03:12	ga_ls7e_ard_3-2-0_098085_2021-11-02_final
2021-11-07 08:33:19	ga_ls7e_ard_3-2-0_094073_2021-11-06_final
2021-11-18 08:19:18	ga_ls7e_ard_3-2-1_091087_2021-11-17_final
2021-11-26 10:43:38	ga_ls7e_ard_3-2-1_115079_2021-11-26_final
2021-11-27 08:13:03	ga_ls7e_ard_3-2-1_090089_2021-11-26_final
2021-12-02 10:03:37	ga_ls7e_ard_3-2-1_109073_2021-12-02_final
2021-12-04 08:18:58	ga_ls7e_ard_3-2-1_091090_2021-12-03_final
2021-12-13 09:42:26	ga_ls7e_ard_3-2-1_106069_2021-12-13_final
2021-12-19 09:10:46	ga_ls7e_ard_3-2-1_100084_2021-12-18_final
2021-12-20 08:13:27	ga_ls7e_ard_3-2-1_091080_2021-12-19_final
2022-01-03 10:00:29	ga_ls7e_ard_3-2-1_109073_2022-01-03_final
2022-01-10 10:06:00	ga_ls7e_ard_3-2-1_110073_2022-01-10_final
2022-01-11 09:09:53	ga_ls7e_ard_3-2-1_101072_2022-01-10_final
2022-01-24 10:21:01	ga_ls7e_ard_3-2-1_112083_2022-01-24_final
2022-01-28 08:14:14	ga_ls7e_ard_3-2-1_092076_2022-01-27_final
2022-01-28 08:17:26	ga_ls7e_ard_3-2-1_092084_2022-01-27_final
2022-02-07 08:53:54	ga_ls7e_ard_3-2-1_098085_2022-02-06_final
2022-02-14 08:56:57	ga_ls7e_ard_3-2-1_099079_2022-02-13_final
2022-03-18 08:51:01	ga_ls7e_ard_3-2-1_099072_2022-03-17_final
2022-03-26 08:03:13	ga_ls7e_ard_3-2-1_091078_2022-03-25_final
2022-03-28 09:25:34	ga_ls7e_ard_3-2-1_105068_2022-03-27_final
2022-04-02 09:48:48	ga_ls7e_ard_3-2-1_108081_2022-04-02_final
2022-04-04 07:56:34	ga_ls7e_ard_3-2-1_090079_2022-04-03_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