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
2000-02-06 09:42:45	ga_ls7e_ard_3-0-0_095081_2000-02-06_final
2000-04-10 09:42:22	ga_ls7e_ard_3-0-0_095081_2000-04-10_final
2000-12-06 09:40:17	ga_ls7e_ard_3-0-0_095081_2000-12-06_final
2000-12-06 09:41:05	ga_ls7e_ard_3-0-0_095083_2000-12-06_final
2001-01-23 09:40:31	ga_ls7e_ard_3-0-0_095081_2001-01-23_final
2001-03-12 09:41:07	ga_ls7e_ard_3-0-0_095083_2001-03-12_final
2001-03-28 09:41:21	ga_ls7e_ard_3-0-0_095084_2001-03-28_final
2001-04-13 09:40:55	ga_ls7e_ard_3-0-0_095083_2001-04-13_final
2001-04-13 09:41:19	ga_ls7e_ard_3-0-0_095084_2001-04-13_final
2001-06-16 09:39:34	ga_ls7e_ard_3-0-0_095081_2001-06-16_final
2001-07-02 09:39:21	ga_ls7e_ard_3-0-0_095081_2001-07-02_final
2001-09-04 09:38:12	ga_ls7e_ard_3-0-0_095080_2001-09-04_final
2001-09-20 09:38:26	ga_ls7e_ard_3-0-0_095081_2001-09-20_final
2001-12-25 09:41:05	ga_ls7e_ard_3-0-0_095087_2001-12-25_final
2002-03-31 09:41:11	ga_ls7e_ard_3-0-0_095087_2002-03-31_final
2002-05-02 09:41:14	ga_ls7e_ard_3-0-0_095087_2002-05-02_final
2003-04-19 09:39:56	ga_ls7e_ard_3-0-0_095084_2003-04-19_final
2009-03-02 09:39:15	ga_ls7e_ard_3-1-0_095079_2009-03-02_final
2010-09-13 09:42:17	ga_ls7e_ard_3-0-0_095081_2010-09-13_final
2011-08-15 09:42:36	ga_ls7e_ard_3-1-0_095079_2011-08-15_final
2011-08-31 09:42:34	ga_ls7e_ard_3-1-0_095079_2011-08-31_final
2012-07-16 09:43:59	ga_ls7e_ard_3-1-0_095079_2012-07-16_final
2012-10-20 09:45:47	ga_ls7e_ard_3-0-0_095081_2012-10-20_final
2013-03-13 09:45:20	ga_ls7e_ard_3-1-0_095079_2013-03-13_final
2013-04-14 09:46:00	ga_ls7e_ard_3-0-0_095081_2013-04-14_final
2013-04-30 09:45:06	ga_ls7e_ard_3-1-0_095079_2013-04-30_final
2013-08-04 09:44:27	ga_ls7e_ard_3-1-0_095079_2013-08-04_final
2013-09-05 09:45:32	ga_ls7e_ard_3-0-0_095081_2013-09-05_final
2013-09-21 09:44:53	ga_ls7e_ard_3-1-0_095079_2013-09-21_final
2014-07-22 09:46:46	ga_ls7e_ard_3-1-0_095079_2014-07-22_final
2014-08-23 09:46:49	ga_ls7e_ard_3-1-0_095079_2014-08-23_final
2014-09-08 09:46:51	ga_ls7e_ard_3-1-0_095079_2014-09-08_final
2014-09-24 09:46:57	ga_ls7e_ard_3-1-0_095079_2014-09-24_final
2014-10-10 09:47:09	ga_ls7e_ard_3-1-0_095079_2014-10-10_final
2015-04-20 09:48:25	ga_ls7e_ard_3-1-0_095079_2015-04-20_final
2017-07-14 09:51:51	ga_ls7e_ard_3-1-0_095079_2017-07-14_final
2021-01-21 09:10:52	ga_ls7e_ard_3-2-0_096075_2021-01-20_final
2021-02-08 08:58:47	ga_ls7e_ard_3-2-0_094079_2021-02-07_final
2021-02-10 10:24:21	ga_ls7e_ard_3-2-0_108077_2021-02-10_final
2021-03-03 09:02:25	ga_ls7e_ard_3-2-0_095077_2021-03-02_final
2021-03-12 08:55:55	ga_ls7e_ard_3-2-0_094078_2021-03-11_final
2021-03-14 10:22:17	ga_ls7e_ard_3-2-0_108078_2021-03-14_final
2021-03-17 09:12:04	ga_ls7e_ard_3-2-0_097073_2021-03-16_final
2021-04-02 09:11:34	ga_ls7e_ard_3-2-0_097075_2021-04-01_final
2021-04-06 10:27:24	ga_ls7e_ard_3-2-0_109080_2021-04-06_final
2021-04-07 09:28:54	ga_ls7e_ard_3-2-0_100073_2021-04-06_final
2021-04-13 08:52:55	ga_ls7e_ard_3-2-0_094077_2021-04-12_final
2021-04-20 08:58:54	ga_ls7e_ard_3-2-0_095078_2021-04-19_final
2021-05-04 09:08:53	ga_ls7e_ard_3-2-0_097075_2021-05-03_final
2021-05-06 08:57:10	ga_ls7e_ard_3-2-0_095077_2021-05-05_final
2021-05-06 08:57:34	ga_ls7e_ard_3-2-0_095078_2021-05-05_final
2021-05-17 10:16:35	ga_ls7e_ard_3-2-0_108077_2021-05-17_final
2021-05-18 09:22:28	ga_ls7e_ard_3-2-0_099081_2021-05-17_final
2021-05-22 10:35:05	ga_ls7e_ard_3-2-0_111078_2021-05-22_final
2021-06-05 09:08:11	ga_ls7e_ard_3-2-0_097080_2021-06-04_final
2021-06-07 08:54:28	ga_ls7e_ard_3-2-0_095077_2021-06-06_final
2021-06-09 08:43:08	ga_ls7e_ard_3-2-0_093080_2021-06-08_final
2021-07-01 09:39:08	ga_ls7e_ard_3-2-0_103070_2021-07-01_final
2021-07-23 09:05:22	ga_ls7e_ard_3-2-0_097083_2021-07-22_final
2021-07-27 08:39:30	ga_ls7e_ard_3-2-0_093081_2021-07-26_final
2021-08-15 09:05:55	ga_ls7e_ard_3-2-0_098074_2021-08-14_final
2021-08-15 09:08:43	ga_ls7e_ard_3-2-0_098081_2021-08-14_final
2021-08-17 10:34:15	ga_ls7e_ard_3-2-0_112079_2021-08-17_final
2021-08-23 08:18:35	ga_ls7e_ard_3-2-0_090081_2021-08-22_final
2021-08-26 08:47:37	ga_ls7e_ard_3-2-0_095077_2021-08-25_final
2021-08-26 10:27:42	ga_ls7e_ard_3-2-0_111080_2021-08-26_final
2021-08-28 08:34:42	ga_ls7e_ard_3-2-0_093076_2021-08-27_final
2021-08-31 09:07:44	ga_ls7e_ard_3-2-0_098082_2021-08-30_final
2021-09-06 10:07:25	ga_ls7e_ard_3-2-0_108078_2021-09-06_final
2021-09-07 09:09:42	ga_ls7e_ard_3-2-0_099073_2021-09-06_final
2021-09-09 08:57:58	ga_ls7e_ard_3-2-0_097075_2021-09-08_final
2021-09-11 08:46:38	ga_ls7e_ard_3-2-0_095078_2021-09-10_final
2021-09-20 08:39:39	ga_ls7e_ard_3-2-0_094078_2021-09-19_final
2021-09-22 10:05:35	ga_ls7e_ard_3-2-0_108077_2021-09-22_final
2021-09-27 10:24:04	ga_ls7e_ard_3-2-0_111078_2021-09-27_final
2021-10-27 08:53:41	ga_ls7e_ard_3-2-0_097075_2021-10-26_final
2021-11-05 08:47:04	ga_ls7e_ard_3-2-0_096076_2021-11-04_final
2021-12-14 08:49:07	ga_ls7e_ard_3-2-1_097075_2021-12-13_final
2022-01-01 10:15:03	ga_ls7e_ard_3-2-1_111078_2022-01-01_final
2022-01-07 09:38:58	ga_ls7e_ard_3-2-1_105082_2022-01-07_final
2022-01-10 08:28:43	ga_ls7e_ard_3-2-1_094077_2022-01-09_final
2022-01-17 08:34:38	ga_ls7e_ard_3-2-1_095078_2022-01-16_final
2022-01-24 10:19:25	ga_ls7e_ard_3-2-1_112079_2022-01-24_final
2022-01-31 10:24:07	ga_ls7e_ard_3-2-1_113077_2022-01-31_final
2022-02-09 10:17:49	ga_ls7e_ard_3-2-1_112079_2022-02-09_final
2022-02-18 08:31:02	ga_ls7e_ard_3-2-1_095077_2022-02-17_final
2022-02-19 09:15:00	ga_ls7e_ard_3-2-1_102079_2022-02-18_final
2022-02-20 09:58:10	ga_ls7e_ard_3-2-1_109079_2022-02-20_final
2022-02-27 08:24:24	ga_ls7e_ard_3-2-1_094078_2022-02-26_final
2022-03-04 10:21:44	ga_ls7e_ard_3-2-1_113079_2022-03-04_final
2022-03-06 10:08:23	ga_ls7e_ard_3-2-1_111077_2022-03-06_final
2022-03-13 08:34:35	ga_ls7e_ard_3-2-1_096076_2022-03-12_final
2022-03-13 08:36:11	ga_ls7e_ard_3-2-1_096080_2022-03-12_final
2022-03-14 09:17:20	ga_ls7e_ard_3-2-1_103075_2022-03-13_final
2022-03-15 10:02:05	ga_ls7e_ard_3-2-1_110079_2022-03-15_final
2022-03-17 09:48:44	ga_ls7e_ard_3-2-1_108077_2022-03-17_final
2022-03-23 09:10:41	ga_ls7e_ard_3-2-1_102076_2022-03-22_final
2022-03-23 09:11:53	ga_ls7e_ard_3-2-1_102079_2022-03-22_final
2022-03-30 09:17:24	ga_ls7e_ard_3-2-1_103079_2022-03-29_final
2022-04-01 09:04:51	ga_ls7e_ard_3-2-1_101079_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