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
1999-08-30 09:42:33	ga_ls7e_ard_3-0-0_095080_1999-08-30_final
1999-10-17 09:44:08	ga_ls7e_ard_3-0-0_095084_1999-10-17_final
1999-11-02 09:44:04	ga_ls7e_ard_3-0-0_095084_1999-11-02_final
2000-01-05 09:42:25	ga_ls7e_ard_3-0-0_095080_2000-01-05_final
2000-03-25 09:44:59	ga_ls7e_ard_3-0-0_095087_2000-03-25_final
2000-05-28 09:43:09	ga_ls7e_ard_3-0-0_095084_2000-05-28_final
2001-07-02 09:39:21	ga_ls7e_ard_3-0-0_095081_2001-07-02_final
2002-01-10 09:39:09	ga_ls7e_ard_3-0-0_095082_2002-01-10_final
2002-01-26 09:38:27	ga_ls7e_ard_3-0-0_095080_2002-01-26_final
2002-02-11 09:38:30	ga_ls7e_ard_3-0-0_095080_2002-02-11_final
2002-02-11 09:40:06	ga_ls7e_ard_3-0-0_095084_2002-02-11_final
2002-03-15 09:38:28	ga_ls7e_ard_3-0-0_095080_2002-03-15_final
2002-03-31 09:41:11	ga_ls7e_ard_3-0-0_095087_2002-03-31_final
2002-07-05 09:38:01	ga_ls7e_ard_3-0-0_095080_2002-07-05_final
2002-07-21 09:38:17	ga_ls7e_ard_3-0-0_095081_2002-07-21_final
2003-05-05 09:39:33	ga_ls7e_ard_3-0-0_095083_2003-05-05_final
2003-07-24 09:37:43	ga_ls7e_ard_3-1-0_095079_2003-07-24_final
2004-09-28 09:37:47	ga_ls7e_ard_3-1-0_095079_2004-09-28_final
2005-05-10 09:41:36	ga_ls7e_ard_3-0-0_095086_2005-05-10_final
2007-02-25 09:39:40	ga_ls7e_ard_3-1-0_095079_2007-02-25_final
2010-09-13 09:41:53	ga_ls7e_ard_3-0-0_095080_2010-09-13_final
2012-04-27 09:45:56	ga_ls7e_ard_3-0-0_095085_2012-04-27_final
2013-03-13 09:45:44	ga_ls7e_ard_3-0-0_095080_2013-03-13_final
2013-04-14 09:46:24	ga_ls7e_ard_3-0-0_095082_2013-04-14_final
2013-05-16 09:45:04	ga_ls7e_ard_3-1-0_095079_2013-05-16_final
2013-05-16 09:45:52	ga_ls7e_ard_3-0-0_095081_2013-05-16_final
2013-07-19 09:45:21	ga_ls7e_ard_3-0-0_095081_2013-07-19_final
2013-09-05 09:45:32	ga_ls7e_ard_3-0-0_095081_2013-09-05_final
2014-10-26 09:47:18	ga_ls7e_ard_3-1-0_095079_2014-10-26_final
2014-11-11 09:47:27	ga_ls7e_ard_3-1-0_095079_2014-11-11_final
2014-11-27 09:49:31	ga_ls7e_ard_3-0-0_095084_2014-11-27_final
2015-04-20 09:48:01	ga_ls7e_ard_3-0-0_095078_2015-04-20_final
2015-09-11 09:48:42	ga_ls7e_ard_3-0-0_095078_2015-09-11_final
2015-09-11 09:49:06	ga_ls7e_ard_3-1-0_095079_2015-09-11_final
2016-02-18 09:51:28	ga_ls7e_ard_3-0-0_095080_2016-02-18_final
2016-03-05 09:50:48	ga_ls7e_ard_3-0-0_095078_2016-03-05_final
2017-07-14 09:51:51	ga_ls7e_ard_3-1-0_095079_2017-07-14_final
2018-07-01 09:48:36	ga_ls7e_ard_3-1-0_095079_2018-07-01_final
2018-11-22 09:47:08	ga_ls7e_ard_3-0-0_095083_2018-11-22_final
2019-01-09 09:43:47	ga_ls7e_ard_3-0-0_095078_2019-01-09_final
2019-06-18 09:38:18	ga_ls7e_ard_3-0-0_095078_2019-06-18_final
2019-09-06 09:35:05	ga_ls7e_ard_3-1-0_095078_2019-09-06_final
2019-11-09 09:32:19	ga_ls7e_ard_3-1-0_095078_2019-11-09_final
2020-01-28 09:28:45	ga_ls7e_ard_3-1-0_095079_2020-01-27_final
2020-09-24 09:14:07	ga_ls7e_ard_3-1-0_095078_2020-09-23_final
2020-11-27 09:09:51	ga_ls7e_ard_3-1-0_095078_2020-11-26_final
2021-02-26 10:23:08	ga_ls7e_ard_3-2-0_108077_2021-02-26_final
2021-03-03 09:02:49	ga_ls7e_ard_3-2-0_095078_2021-03-02_final
2021-03-17 09:12:04	ga_ls7e_ard_3-2-0_097073_2021-03-16_final
2021-03-22 09:31:24	ga_ls7e_ard_3-2-0_100076_2021-03-22_final
2021-04-05 09:42:37	ga_ls7e_ard_3-2-0_102076_2021-04-05_final
2021-04-11 09:08:38	ga_ls7e_ard_3-2-0_096085_2021-04-10_final
2021-04-13 08:52:07	ga_ls7e_ard_3-2-0_094075_2021-04-12_final
2021-04-15 08:42:47	ga_ls7e_ard_3-2-0_092083_2021-04-14_final
2021-04-23 09:27:33	ga_ls7e_ard_3-2-0_100073_2021-04-22_final
2021-05-22 10:34:41	ga_ls7e_ard_3-2-0_111077_2021-05-22_final
2021-05-23 09:36:59	ga_ls7e_ard_3-2-0_102072_2021-05-23_final
2021-06-08 09:38:02	ga_ls7e_ard_3-2-0_102078_2021-06-08_final
2021-06-20 10:02:11	ga_ls7e_ard_3-2-0_106079_2021-06-20_final
2021-06-21 09:04:53	ga_ls7e_ard_3-2-0_097075_2021-06-20_final
2021-06-22 09:50:27	ga_ls7e_ard_3-2-0_104081_2021-06-22_final
2021-06-26 09:22:12	ga_ls7e_ard_3-2-0_100073_2021-06-25_final
2021-07-06 10:02:26	ga_ls7e_ard_3-2-0_106083_2021-07-06_final
2021-07-08 09:48:43	ga_ls7e_ard_3-2-0_104080_2021-07-08_final
2021-07-09 10:31:05	ga_ls7e_ard_3-2-0_111078_2021-07-09_final
2021-07-11 10:18:57	ga_ls7e_ard_3-2-0_109079_2021-07-11_final
2021-07-14 10:44:49	ga_ls7e_ard_3-2-0_114067_2021-07-14_final
2021-07-18 08:45:16	ga_ls7e_ard_3-2-0_094078_2021-07-17_final
2021-07-20 08:34:43	ga_ls7e_ard_3-2-0_092083_2021-07-19_final
2021-07-20 10:11:12	ga_ls7e_ard_3-2-0_108077_2021-07-20_final
2021-07-29 10:06:14	ga_ls7e_ard_3-2-0_107082_2021-07-29_final
2021-08-03 10:23:08	ga_ls7e_ard_3-2-0_110079_2021-08-03_final
2021-08-08 10:40:26	ga_ls7e_ard_3-2-0_113077_2021-08-08_final
2021-08-19 08:42:03	ga_ls7e_ard_3-2-0_094077_2021-08-18_final
2021-08-22 09:11:53	ga_ls7e_ard_3-2-0_099075_2021-08-21_final
2021-09-02 10:33:17	ga_ls7e_ard_3-2-0_112080_2021-09-02_final
2021-09-08 08:17:12	ga_ls7e_ard_3-2-0_090081_2021-09-07_final
2021-09-10 09:41:08	ga_ls7e_ard_3-2-0_104075_2021-09-10_final
2021-09-11 08:46:38	ga_ls7e_ard_3-2-0_095078_2021-09-10_final
2021-09-24 08:15:46	ga_ls7e_ard_3-2-0_090081_2021-09-23_final
2021-10-03 09:46:04	ga_ls7e_ard_3-2-0_105077_2021-10-03_final
2021-10-10 08:14:21	ga_ls7e_ard_3-2-0_090081_2021-10-09_final
2021-10-21 09:31:19	ga_ls7e_ard_3-2-0_103075_2021-10-21_final
2021-11-05 08:47:04	ga_ls7e_ard_3-2-0_096076_2021-11-04_final
2021-12-09 08:31:27	ga_ls7e_ard_3-2-1_094076_2021-12-08_final
2022-01-05 09:49:55	ga_ls7e_ard_3-2-1_107078_2022-01-05_final
2022-01-09 09:25:14	ga_ls7e_ard_3-2-1_103079_2022-01-08_final
2022-01-10 08:29:31	ga_ls7e_ard_3-2-1_094079_2022-01-09_final
2022-01-12 08:18:34	ga_ls7e_ard_3-2-1_092083_2022-01-11_final
2022-01-17 08:35:26	ga_ls7e_ard_3-2-1_095080_2022-01-16_final
2022-02-11 08:25:34	ga_ls7e_ard_3-2-1_094077_2022-02-10_final
2022-02-11 08:25:58	ga_ls7e_ard_3-2-1_094078_2022-02-10_final
2022-02-27 08:24:48	ga_ls7e_ard_3-2-1_094079_2022-02-26_final
2022-03-06 08:31:06	ga_ls7e_ard_3-2-1_095081_2022-03-05_final
2022-03-06 10:08:23	ga_ls7e_ard_3-2-1_111077_2022-03-06_final
2022-03-06 10:09:35	ga_ls7e_ard_3-2-1_111080_2022-03-06_final
2022-03-13 08:34:35	ga_ls7e_ard_3-2-1_096076_2022-03-12_final
2022-03-17 08:10:39	ga_ls7e_ard_3-2-1_092079_2022-03-16_final
2022-03-20 08:39:40	ga_ls7e_ard_3-2-1_097075_2022-03-19_final
2022-03-24 08:17:22	ga_ls7e_ard_3-2-1_093082_2022-03-23_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