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
2000-05-28 09:43:33	ga_ls7e_ard_3-0-0_095085_2000-05-28_final
2004-09-12 09:40:15	ga_ls7e_ard_3-0-0_095085_2004-09-12_final
2004-12-17 09:41:36	ga_ls7e_ard_3-0-0_095087_2004-12-17_final
2005-03-07 09:41:17	ga_ls7e_ard_3-0-0_095085_2005-03-07_final
2005-10-17 09:40:44	ga_ls7e_ard_3-0-0_095085_2005-10-17_final
2006-06-14 09:40:48	ga_ls7e_ard_3-0-0_095083_2006-06-14_final
2007-09-21 09:40:11	ga_ls7e_ard_3-0-0_095082_2007-09-21_final
2009-06-22 09:41:36	ga_ls7e_ard_3-0-0_095084_2009-06-22_final
2010-06-09 09:43:44	ga_ls7e_ard_3-0-0_095085_2010-06-09_final
2011-02-20 09:45:04	ga_ls7e_ard_3-0-0_095085_2011-02-20_final
2011-12-05 09:45:45	ga_ls7e_ard_3-0-0_095086_2011-12-05_final
2012-01-06 09:46:01	ga_ls7e_ard_3-0-0_095086_2012-01-06_final
2012-05-13 09:45:30	ga_ls7e_ard_3-0-0_095083_2012-05-13_final
2013-12-26 09:48:00	ga_ls7e_ard_3-0-0_095085_2013-12-26_final
2015-04-04 09:49:30	ga_ls7e_ard_3-0-0_095082_2015-04-04_final
2015-04-04 09:50:42	ga_ls7e_ard_3-0-0_095085_2015-04-04_final
2015-04-20 09:51:37	ga_ls7e_ard_3-0-0_095087_2015-04-20_final
2015-10-13 09:50:57	ga_ls7e_ard_3-0-0_095083_2015-10-13_final
2017-03-08 09:52:31	ga_ls7e_ard_3-0-0_095082_2017-03-08_final
2018-09-03 09:48:11	ga_ls7e_ard_3-0-0_095081_2018-09-03_final
2018-09-03 09:48:35	ga_ls7e_ard_3-0-0_095082_2018-09-03_final
2019-02-10 09:45:34	ga_ls7e_ard_3-0-0_095085_2019-02-10_final
2019-03-30 09:44:02	ga_ls7e_ard_3-0-0_095085_2019-03-30_final
2021-02-11 09:27:04	ga_ls7e_ard_3-2-0_099073_2021-02-10_final
2021-03-01 09:12:32	ga_ls7e_ard_3-2-0_097071_2021-02-28_final
2021-03-01 09:15:43	ga_ls7e_ard_3-2-0_097079_2021-02-28_final
2021-03-05 08:49:06	ga_ls7e_ard_3-2-0_093075_2021-03-04_final
2021-03-11 09:48:26	ga_ls7e_ard_3-2-0_103070_2021-03-11_final
2021-03-19 09:03:33	ga_ls7e_ard_3-2-0_095083_2021-03-18_final
2021-03-23 10:13:47	ga_ls7e_ard_3-2-0_107074_2021-03-23_final
2021-04-06 10:24:36	ga_ls7e_ard_3-2-0_109073_2021-04-06_final
2021-04-16 11:02:27	ga_ls7e_ard_3-2-0_115077_2021-04-16_final
2021-04-20 08:58:06	ga_ls7e_ard_3-2-0_095076_2021-04-19_final
2021-04-24 10:09:32	ga_ls7e_ard_3-2-0_107070_2021-04-24_final
2021-05-11 09:12:53	ga_ls7e_ard_3-2-0_098071_2021-05-10_final
2021-06-09 08:41:08	ga_ls7e_ard_3-2-0_093075_2021-06-08_final
2021-06-18 08:37:01	ga_ls7e_ard_3-2-0_092082_2021-06-17_final
2021-06-18 08:38:13	ga_ls7e_ard_3-2-0_092085_2021-06-17_final
2021-06-25 08:41:50	ga_ls7e_ard_3-2-0_093080_2021-06-24_final
2021-06-27 08:29:42	ga_ls7e_ard_3-2-0_091081_2021-06-26_final
2021-06-28 09:14:28	ga_ls7e_ard_3-2-0_098085_2021-06-27_final
2021-06-30 08:57:09	ga_ls7e_ard_3-2-0_096073_2021-06-29_final
2021-07-09 10:29:53	ga_ls7e_ard_3-2-0_111075_2021-07-09_final
2021-07-20 10:09:13	ga_ls7e_ard_3-2-0_108072_2021-07-20_final
2021-07-27 10:15:11	ga_ls7e_ard_3-2-0_109073_2021-07-27_final
2021-07-31 08:14:26	ga_ls7e_ard_3-2-0_089081_2021-07-30_final
2021-08-05 10:07:01	ga_ls7e_ard_3-2-0_108070_2021-08-05_final
2021-08-07 08:18:47	ga_ls7e_ard_3-2-0_090078_2021-08-06_final
2021-08-16 08:13:00	ga_ls7e_ard_3-2-0_089081_2021-08-15_final
2021-08-17 10:35:27	ga_ls7e_ard_3-2-0_112082_2021-08-17_final
2021-08-19 10:19:19	ga_ls7e_ard_3-2-0_110073_2021-08-19_final
2021-08-22 10:51:34	ga_ls7e_ard_3-2-0_115077_2021-08-22_final
2021-08-23 09:54:16	ga_ls7e_ard_3-2-0_106073_2021-08-23_final
2021-08-26 10:25:42	ga_ls7e_ard_3-2-0_111075_2021-08-26_final
2021-08-30 09:59:03	ga_ls7e_ard_3-2-0_107071_2021-08-30_final
2021-09-01 08:12:49	ga_ls7e_ard_3-2-0_089084_2021-08-31_final
2021-09-02 08:53:12	ga_ls7e_ard_3-2-0_096077_2021-09-01_final
2021-09-05 09:21:27	ga_ls7e_ard_3-2-0_101071_2021-09-04_final
2021-09-08 08:18:23	ga_ls7e_ard_3-2-0_090084_2021-09-07_final
2021-09-09 09:00:22	ga_ls7e_ard_3-2-0_097081_2021-09-08_final
2021-09-11 10:26:42	ga_ls7e_ard_3-2-0_111081_2021-09-11_final
2021-09-17 08:12:13	ga_ls7e_ard_3-2-0_089086_2021-09-16_final
2021-09-22 08:29:30	ga_ls7e_ard_3-2-0_092084_2021-09-21_final
2021-09-25 08:58:32	ga_ls7e_ard_3-2-0_097080_2021-09-24_final
2021-09-29 10:12:44	ga_ls7e_ard_3-2-0_109081_2021-09-29_final
2021-10-01 09:58:36	ga_ls7e_ard_3-2-0_107077_2021-10-01_final
2021-10-02 09:00:06	ga_ls7e_ard_3-2-0_098070_2021-10-01_final
2021-10-06 10:15:07	ga_ls7e_ard_3-2-0_110073_2021-10-06_final
2021-10-31 10:05:29	ga_ls7e_ard_3-2-0_109070_2021-10-31_final
2021-11-02 08:20:26	ga_ls7e_ard_3-2-0_091086_2021-11-01_final
2021-11-04 08:05:54	ga_ls7e_ard_3-2-0_089081_2021-11-03_final
2021-11-05 08:50:39	ga_ls7e_ard_3-2-0_096085_2021-11-04_final
2021-11-10 09:05:07	ga_ls7e_ard_3-2-0_099076_2021-11-09_final
2021-11-14 10:17:18	ga_ls7e_ard_3-2-1_111072_2021-11-14_final
2021-11-17 09:09:25	ga_ls7e_ard_3-2-1_100073_2021-11-16_final
2021-11-18 08:18:54	ga_ls7e_ard_3-2-1_091086_2021-11-17_final
2021-11-22 09:26:16	ga_ls7e_ard_3-2-1_103070_2021-11-21_final
2021-11-27 08:09:27	ga_ls7e_ard_3-2-1_090080_2021-11-26_final
2021-12-09 10:09:08	ga_ls7e_ard_3-2-1_110073_2021-12-09_final
2021-12-11 08:20:06	ga_ls7e_ard_3-2-1_092079_2021-12-10_final
2021-12-12 10:40:57	ga_ls7e_ard_3-2-1_115076_2021-12-12_final
2021-12-21 08:53:25	ga_ls7e_ard_3-2-1_098072_2021-12-20_final
2021-12-27 08:19:44	ga_ls7e_ard_3-2-1_092082_2021-12-26_final
2021-12-29 08:07:34	ga_ls7e_ard_3-2-1_090083_2021-12-28_final
2022-01-13 10:38:13	ga_ls7e_ard_3-2-1_115077_2022-01-13_final
2022-01-17 10:15:31	ga_ls7e_ard_3-2-1_111083_2022-01-17_final
2022-01-24 08:41:44	ga_ls7e_ard_3-2-1_096082_2022-01-23_final
2022-01-26 10:06:04	ga_ls7e_ard_3-2-1_110077_2022-01-26_final
2022-01-30 08:04:28	ga_ls7e_ard_3-2-1_090083_2022-01-29_final
2022-01-30 09:43:21	ga_ls7e_ard_3-2-1_106083_2022-01-30_final
2022-02-15 09:37:19	ga_ls7e_ard_3-2-1_106072_2022-02-15_final
2022-02-22 08:06:44	ga_ls7e_ard_3-2-1_091079_2022-02-21_final
2022-02-23 08:49:54	ga_ls7e_ard_3-2-1_098079_2022-02-22_final
2022-03-04 10:22:32	ga_ls7e_ard_3-2-1_113081_2022-03-04_final
2022-03-06 10:10:47	ga_ls7e_ard_3-2-1_111083_2022-03-06_final
2022-03-08 09:56:13	ga_ls7e_ard_3-2-1_109078_2022-03-08_final
2022-03-26 09:40:30	ga_ls7e_ard_3-2-1_107074_2022-03-26_final
2022-03-26 09:42:54	ga_ls7e_ard_3-2-1_107080_2022-03-26_final
2022-03-27 08:46:47	ga_ls7e_ard_3-2-1_098079_2022-03-26_final
2022-04-02 09:44:49	ga_ls7e_ard_3-2-1_108071_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