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
1999-11-02 09:42:52	ga_ls7e_ard_3-0-0_095081_1999-11-02_final
1999-12-04 09:44:26	ga_ls7e_ard_3-0-0_095085_1999-12-04_final
2000-05-12 09:44:07	ga_ls7e_ard_3-0-0_095086_2000-05-12_final
2000-06-28 08:58:24	ga_ls7e_ard_3-0-0_088081_2000-06-27_final
2001-02-08 09:42:47	ga_ls7e_ard_3-0-0_095087_2001-02-08_final
2001-09-20 09:35:39	ga_ls7e_ard_3-0-0_095074_2001-09-20_final
2001-09-20 09:39:14	ga_ls7e_ard_3-0-0_095083_2001-09-20_final
2001-11-07 09:40:24	ga_ls7e_ard_3-0-0_095086_2001-11-07_final
2002-01-10 09:39:33	ga_ls7e_ard_3-0-0_095083_2002-01-10_final
2002-05-02 09:40:26	ga_ls7e_ard_3-0-0_095085_2002-05-02_final
2002-08-06 09:38:58	ga_ls7e_ard_3-0-0_095083_2002-08-06_final
2002-09-07 09:39:10	ga_ls7e_ard_3-0-0_095084_2002-09-07_final
2002-10-25 09:37:24	ga_ls7e_ard_3-0-0_095080_2002-10-25_final
2003-09-26 09:36:59	ga_ls7e_ard_3-0-0_095078_2003-09-26_final
2003-09-26 09:37:47	ga_ls7e_ard_3-0-0_095080_2003-09-26_final
2003-12-31 09:38:54	ga_ls7e_ard_3-0-0_095081_2003-12-31_final
2005-06-11 09:40:40	ga_ls7e_ard_3-0-0_095084_2005-06-11_final
2006-01-05 09:37:23	ga_ls7e_ard_3-0-0_095075_2006-01-05_final
2009-10-12 09:36:53	ga_ls7e_ard_3-1-0_095073_2009-10-12_final
2009-10-28 09:41:32	ga_ls7e_ard_3-0-0_095084_2009-10-28_final
2009-11-13 09:42:10	ga_ls7e_ard_3-0-0_095085_2009-11-13_final
2009-12-15 09:42:35	ga_ls7e_ard_3-0-0_095085_2009-12-15_final
2010-02-01 09:43:20	ga_ls7e_ard_3-0-0_095085_2010-02-01_final
2010-12-18 09:40:38	ga_ls7e_ard_3-0-0_095075_2010-12-18_final
2012-07-16 09:39:12	ga_ls7e_ard_3-0-0_095067_2012-07-16_final
2012-10-20 09:46:35	ga_ls7e_ard_3-0-0_095083_2012-10-20_final
2013-03-13 09:46:56	ga_ls7e_ard_3-0-0_095083_2013-03-13_final
2013-05-31 09:02:53	ga_ls7e_ard_3-0-0_088082_2013-05-30_final
2013-08-20 09:42:09	ga_ls7e_ard_3-1-0_095073_2013-08-20_final
2013-09-21 09:42:30	ga_ls7e_ard_3-1-0_095073_2013-09-21_final
2014-05-31 11:50:11	ga_ls7e_ard_3-0-0_115079_2014-05-31_final
2015-08-10 09:50:13	ga_ls7e_ard_3-0-0_095082_2015-08-10_final
2016-03-05 09:51:36	ga_ls7e_ard_3-0-0_095080_2016-03-05_final
2016-06-25 09:49:46	ga_ls7e_ard_3-0-0_095074_2016-06-25_final
2016-08-28 09:49:28	ga_ls7e_ard_3-1-0_095073_2016-08-28_final
2016-12-18 09:50:01	ga_ls7e_ard_3-0-0_095075_2016-12-18_final
2017-02-04 09:49:59	ga_ls7e_ard_3-0-0_095076_2017-02-04_final
2017-07-14 09:52:39	ga_ls7e_ard_3-0-0_095081_2017-07-14_final
2017-07-14 09:54:15	ga_ls7e_ard_3-0-0_095085_2017-07-14_final
2018-11-06 09:45:31	ga_ls7e_ard_3-0-0_095078_2018-11-06_final
2018-12-08 09:43:31	ga_ls7e_ard_3-0-0_095075_2018-12-08_final
2019-01-25 09:44:04	ga_ls7e_ard_3-0-0_095080_2019-01-25_final
2019-03-14 09:42:59	ga_ls7e_ard_3-1-0_095081_2019-03-14_final
2019-08-05 09:37:14	ga_ls7e_ard_3-0-0_095080_2019-08-05_final
2019-09-06 09:35:53	ga_ls7e_ard_3-1-0_095080_2019-09-06_final
2019-11-05 11:36:30	ga_ls7e_ard_3-1-0_115079_2019-11-05_final
2020-12-13 09:10:16	ga_ls7e_ard_3-1-0_095082_2020-12-12_final
2021-02-10 08:46:40	ga_ls7e_ard_3-2-0_092080_2021-02-09_final
2021-03-17 09:13:16	ga_ls7e_ard_3-2-0_097076_2021-03-16_final
2021-03-24 09:18:29	ga_ls7e_ard_3-2-0_098075_2021-03-23_final
2021-03-26 09:03:58	ga_ls7e_ard_3-2-0_096070_2021-03-25_final
2021-03-26 09:07:58	ga_ls7e_ard_3-2-0_096080_2021-03-25_final
2021-03-30 10:18:12	ga_ls7e_ard_3-2-0_108071_2021-03-30_final
2021-03-30 10:21:48	ga_ls7e_ard_3-2-0_108080_2021-03-30_final
2021-04-08 08:39:59	ga_ls7e_ard_3-2-0_091090_2021-04-07_final
2021-04-18 09:09:26	ga_ls7e_ard_3-2-0_097073_2021-04-17_final
2021-04-22 08:48:46	ga_ls7e_ard_3-2-0_093084_2021-04-21_final
2021-04-22 10:22:28	ga_ls7e_ard_3-2-0_109071_2021-04-22_final
2021-05-27 10:53:36	ga_ls7e_ard_3-2-0_114079_2021-05-27_final
2021-05-31 08:50:27	ga_ls7e_ard_3-2-0_094081_2021-05-30_final
2021-06-05 10:47:03	ga_ls7e_ard_3-2-0_113080_2021-06-05_final
2021-06-18 08:36:37	ga_ls7e_ard_3-2-0_092081_2021-06-17_final
2021-06-22 09:47:39	ga_ls7e_ard_3-2-0_104074_2021-06-22_final
2021-06-30 10:40:01	ga_ls7e_ard_3-2-0_112083_2021-06-30_final
2021-07-06 08:23:34	ga_ls7e_ard_3-2-0_090083_2021-07-05_final
2021-07-23 09:01:22	ga_ls7e_ard_3-2-0_097073_2021-07-22_final
2021-07-26 09:33:36	ga_ls7e_ard_3-2-0_102077_2021-07-26_final
2021-07-29 08:27:22	ga_ls7e_ard_3-2-0_091082_2021-07-28_final
2021-08-03 08:39:29	ga_ls7e_ard_3-2-0_094067_2021-08-02_final
2021-08-04 09:25:26	ga_ls7e_ard_3-2-0_101074_2021-08-03_final
2021-08-16 08:13:24	ga_ls7e_ard_3-2-0_089082_2021-08-15_final
2021-08-18 09:34:57	ga_ls7e_ard_3-2-0_103070_2021-08-18_final
2021-09-02 10:33:40	ga_ls7e_ard_3-2-0_112081_2021-09-02_final
2021-09-06 10:05:01	ga_ls7e_ard_3-2-0_108072_2021-09-06_final
2021-09-07 10:50:59	ga_ls7e_ard_3-2-0_115079_2021-09-07_final
2021-09-20 08:38:51	ga_ls7e_ard_3-2-0_094076_2021-09-19_final
2021-09-22 08:28:42	ga_ls7e_ard_3-2-0_092082_2021-09-21_final
2021-09-23 10:48:45	ga_ls7e_ard_3-2-0_115077_2021-09-23_final
2021-09-23 10:49:33	ga_ls7e_ard_3-2-0_115079_2021-09-23_final
2021-09-28 09:27:10	ga_ls7e_ard_3-2-0_102075_2021-09-27_final
2021-10-02 10:41:46	ga_ls7e_ard_3-2-0_114077_2021-10-02_final
2021-10-18 08:59:29	ga_ls7e_ard_3-2-0_098072_2021-10-17_final
2021-10-21 09:33:18	ga_ls7e_ard_3-2-0_103080_2021-10-21_final
2021-10-24 10:04:44	ga_ls7e_ard_3-2-0_108082_2021-10-24_final
2021-11-19 08:59:39	ga_ls7e_ard_3-2-1_098080_2021-11-18_final
2021-11-22 09:27:52	ga_ls7e_ard_3-2-1_103074_2021-11-21_final
2021-12-04 09:52:16	ga_ls7e_ard_3-2-1_107076_2021-12-04_final
2021-12-07 08:46:24	ga_ls7e_ard_3-2-1_096082_2021-12-06_final
2021-12-20 08:15:27	ga_ls7e_ard_3-2-1_091085_2021-12-19_final
2021-12-21 08:55:25	ga_ls7e_ard_3-2-1_098077_2021-12-20_final
2021-12-25 08:33:06	ga_ls7e_ard_3-2-1_094084_2021-12-24_final
2021-12-31 09:28:18	ga_ls7e_ard_3-2-1_104069_2021-12-30_final
2022-01-03 08:22:48	ga_ls7e_ard_3-2-1_093076_2022-01-02_final
2022-01-12 09:57:51	ga_ls7e_ard_3-2-1_108084_2022-01-12_final
2022-01-17 08:33:03	ga_ls7e_ard_3-2-1_095074_2022-01-16_final
2022-02-25 08:38:57	ga_ls7e_ard_3-2-1_096083_2022-02-24_final
2022-02-26 09:16:56	ga_ls7e_ard_3-2-1_103070_2022-02-25_final
2022-03-02 08:56:37	ga_ls7e_ard_3-2-1_099082_2022-03-01_final
2022-03-31 08:22:05	ga_ls7e_ard_3-2-1_094080_2022-03-30_final
2022-04-02 09:45:13	ga_ls7e_ard_3-2-1_108072_2022-04-02_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