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
1999-07-25 11:43:38	ga_ls7e_ard_3-0-0_115074_1999-07-25_final
1999-11-30 11:44:23	ga_ls7e_ard_3-0-0_115076_1999-11-30_final
2000-01-01 11:45:12	ga_ls7e_ard_3-0-0_115078_2000-01-01_final
2000-01-10 11:37:52	ga_ls7e_ard_3-0-0_114075_2000-01-10_final
2000-03-14 11:38:23	ga_ls7e_ard_3-0-0_114077_2000-03-14_final
2000-03-21 11:45:00	ga_ls7e_ard_3-0-0_115078_2000-03-21_final
2000-05-08 11:44:34	ga_ls7e_ard_3-0-0_115078_2000-05-08_final
2000-05-17 11:38:43	ga_ls7e_ard_3-0-0_114079_2000-05-17_final
2000-07-27 11:42:48	ga_ls7e_ard_3-0-0_115076_2000-07-27_final
2001-03-24 11:41:23	ga_ls7e_ard_3-0-0_115075_2001-03-24_final
2001-09-25 11:35:04	ga_ls7e_ard_3-0-0_114079_2001-09-25_final
2002-01-06 11:41:06	ga_ls7e_ard_3-0-0_115078_2002-01-06_final
2002-01-15 11:35:23	ga_ls7e_ard_3-0-0_114079_2002-01-15_final
2002-07-10 11:34:13	ga_ls7e_ard_3-0-0_114077_2002-07-10_final
2002-12-08 11:39:03	ga_ls7e_ard_3-0-0_115074_2002-12-08_final
2002-12-17 11:34:04	ga_ls7e_ard_3-0-0_114077_2002-12-17_final
2004-01-12 11:41:43	ga_ls7e_ard_3-0-0_115079_2004-01-12_final
2004-02-22 11:34:07	ga_ls7e_ard_3-0-0_114075_2004-02-22_final
2005-08-03 11:34:25	ga_ls7e_ard_3-0-0_114075_2005-08-03_final
2006-03-15 11:35:07	ga_ls7e_ard_3-0-0_114075_2006-03-15_final
2007-01-29 11:36:08	ga_ls7e_ard_3-0-0_114077_2007-01-29_final
2007-05-21 11:36:57	ga_ls7e_ard_3-0-0_114079_2007-05-21_final
2007-11-20 11:42:58	ga_ls7e_ard_3-0-0_115079_2007-11-20_final
2007-12-22 11:42:44	ga_ls7e_ard_3-0-0_115078_2007-12-22_final
2010-11-12 11:45:29	ga_ls7e_ard_3-0-0_115079_2010-11-12_final
2011-08-04 11:40:52	ga_ls7e_ard_3-0-0_114081_2011-08-04_final
2012-08-13 11:47:55	ga_ls7e_ard_3-0-0_115079_2012-08-13_final
2012-11-01 11:48:39	ga_ls7e_ard_3-0-0_115079_2012-11-01_final
2012-12-03 11:48:46	ga_ls7e_ard_3-0-0_115079_2012-12-03_final
2013-12-15 11:43:45	ga_ls7e_ard_3-0-0_114081_2013-12-15_final
2017-03-04 11:54:54	ga_ls7e_ard_3-0-0_115079_2017-03-04_final
2017-05-16 11:49:07	ga_ls7e_ard_3-0-0_114079_2017-05-16_final
2020-02-09 11:31:44	ga_ls7e_ard_3-1-0_115079_2020-02-09_final
2020-11-22 08:52:52	ga_ls7e_ard_3-1-0_092081_2020-11-21_final
2020-12-02 09:25:38	ga_ls7e_ard_3-1-0_098072_2020-12-01_final
2020-12-13 10:43:09	ga_ls7e_ard_3-1-0_111067_2020-12-13_final
2020-12-18 09:22:50	ga_ls7e_ard_3-1-0_098068_2020-12-17_final
2020-12-21 09:53:30	ga_ls7e_ard_3-1-0_103068_2020-12-21_final
2020-12-29 10:41:59	ga_ls7e_ard_3-1-0_111067_2020-12-29_final
2021-01-09 08:49:23	ga_ls7e_ard_3-1-0_092081_2021-01-08_final
2021-01-12 10:58:57	ga_ls7e_ard_3-1-0_113081_2021-01-12_final
2021-01-12 10:59:21	ga_ls7e_ard_3-1-0_113082_2021-01-12_final
2021-01-20 10:04:09	ga_ls7e_ard_3-2-0_105069_2021-01-20_final
2021-01-25 08:49:03	ga_ls7e_ard_3-2-0_092083_2021-01-24_final
2021-01-26 09:32:38	ga_ls7e_ard_3-2-0_099084_2021-01-26_final
2021-02-11 09:30:15	ga_ls7e_ard_3-2-0_099081_2021-02-11_final
2021-02-13 09:13:21	ga_ls7e_ard_3-2-0_097070_2021-02-12_final
2021-02-13 09:17:21	ga_ls7e_ard_3-2-0_097080_2021-02-12_final
2021-02-13 09:18:56	ga_ls7e_ard_3-2-0_097084_2021-02-12_final
2021-02-15 09:02:02	ga_ls7e_ard_3-2-0_095073_2021-02-14_final
2021-02-17 08:49:56	ga_ls7e_ard_3-2-0_093074_2021-02-16_final
2021-02-20 09:24:11	ga_ls7e_ard_3-2-0_098083_2021-02-19_final
2021-03-05 10:26:47	ga_ls7e_ard_3-2-0_109072_2021-03-05_final
2021-03-09 08:26:28	ga_ls7e_ard_3-2-0_089081_2021-03-08_final
2021-03-17 10:48:33	ga_ls7e_ard_3-2-0_113067_2021-03-17_final
2021-03-19 08:59:09	ga_ls7e_ard_3-2-0_095072_2021-03-18_final
2021-04-06 08:46:07	ga_ls7e_ard_3-2-0_093074_2021-04-05_final
2021-04-11 09:03:03	ga_ls7e_ard_3-2-0_096071_2021-04-10_final
2021-04-11 10:40:20	ga_ls7e_ard_3-2-0_112067_2021-04-11_final
2021-04-13 10:27:48	ga_ls7e_ard_3-2-0_110067_2021-04-13_final
2021-04-20 09:01:42	ga_ls7e_ard_3-2-0_095085_2021-04-19_final
2021-04-25 10:51:31	ga_ls7e_ard_3-2-0_114067_2021-04-25_final
2021-05-03 08:31:18	ga_ls7e_ard_3-2-0_090089_2021-05-02_final
2021-05-06 10:38:50	ga_ls7e_ard_3-2-0_111084_2021-05-06_final
2021-05-20 09:09:56	ga_ls7e_ard_3-2-0_097081_2021-05-19_final
2021-05-21 09:49:55	ga_ls7e_ard_3-2-0_104073_2021-05-21_final
2021-06-05 09:08:35	ga_ls7e_ard_3-2-0_097081_2021-06-04_final
2021-06-10 09:25:07	ga_ls7e_ard_3-2-0_100077_2021-06-09_final
2021-06-10 09:25:31	ga_ls7e_ard_3-2-0_100078_2021-06-09_final
2021-06-13 09:56:58	ga_ls7e_ard_3-2-0_105080_2021-06-13_final
2021-06-16 08:50:45	ga_ls7e_ard_3-2-0_094085_2021-06-15_final
2021-06-21 10:46:33	ga_ls7e_ard_3-2-0_113082_2021-06-21_final
2021-06-29 09:56:03	ga_ls7e_ard_3-2-0_105081_2021-06-29_final
2021-07-06 09:59:15	ga_ls7e_ard_3-2-0_106075_2021-07-06_final
2021-07-07 09:05:32	ga_ls7e_ard_3-2-0_097080_2021-07-06_final
2021-08-30 08:27:45	ga_ls7e_ard_3-2-0_091090_2021-08-29_final
2021-09-15 09:57:14	ga_ls7e_ard_3-2-0_107070_2021-09-15_final
2021-09-25 10:32:14	ga_ls7e_ard_3-2-0_113067_2021-09-25_final
2021-10-01 10:01:00	ga_ls7e_ard_3-2-0_107083_2021-10-01_final
2021-11-01 09:10:10	ga_ls7e_ard_3-2-0_100071_2021-10-31_final
2021-11-09 10:02:26	ga_ls7e_ard_3-2-0_108080_2021-11-09_final
2021-11-10 09:01:32	ga_ls7e_ard_3-2-0_099067_2021-11-09_final
2021-12-05 08:52:58	ga_ls7e_ard_3-2-1_098067_2021-12-04_final
2021-12-06 08:04:26	ga_ls7e_ard_3-2-1_089085_2021-12-05_final
2021-12-20 08:12:39	ga_ls7e_ard_3-2-1_091078_2021-12-19_final
2021-12-20 08:15:27	ga_ls7e_ard_3-2-1_091085_2021-12-19_final
2021-12-25 08:33:06	ga_ls7e_ard_3-2-1_094084_2021-12-24_final
2022-01-08 10:22:32	ga_ls7e_ard_3-2-1_112083_2022-01-08_final
2022-01-09 09:26:26	ga_ls7e_ard_3-2-1_103082_2022-01-08_final
2022-01-10 08:30:43	ga_ls7e_ard_3-2-1_094082_2022-01-09_final
2022-01-26 08:26:47	ga_ls7e_ard_3-2-1_094076_2022-01-25_final
2022-01-28 08:14:38	ga_ls7e_ard_3-2-1_092077_2022-01-27_final
2022-02-15 08:00:26	ga_ls7e_ard_3-2-1_090077_2022-02-14_final
2022-02-23 08:51:54	ga_ls7e_ard_3-2-1_098084_2022-02-22_final
2022-02-24 09:34:16	ga_ls7e_ard_3-2-1_105082_2022-02-24_final
2022-03-03 08:00:06	ga_ls7e_ard_3-2-1_090080_2022-03-02_final
2022-03-06 10:05:59	ga_ls7e_ard_3-2-1_111071_2022-03-06_final
2022-03-08 09:55:49	ga_ls7e_ard_3-2-1_109077_2022-03-08_final
2022-03-14 09:14:57	ga_ls7e_ard_3-2-1_103069_2022-03-13_final
2022-03-21 09:24:50	ga_ls7e_ard_3-2-1_104080_2022-03-20_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