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
2000-09-17 09:41:44	ga_ls7e_ard_3-0-0_095084_2000-09-17_final
2001-03-28 09:41:21	ga_ls7e_ard_3-0-0_095084_2001-03-28_final
2002-09-23 09:39:46	ga_ls7e_ard_3-0-0_095086_2002-09-23_final
2003-03-02 09:39:53	ga_ls7e_ard_3-0-0_095084_2003-03-02_final
2005-05-10 09:41:36	ga_ls7e_ard_3-0-0_095086_2005-05-10_final
2005-09-15 09:41:03	ga_ls7e_ard_3-0-0_095086_2005-09-15_final
2005-10-01 09:41:03	ga_ls7e_ard_3-0-0_095086_2005-10-01_final
2006-12-23 09:41:23	ga_ls7e_ard_3-0-0_095084_2006-12-23_final
2007-04-14 09:42:30	ga_ls7e_ard_3-0-0_095086_2007-04-14_final
2007-07-03 09:41:50	ga_ls7e_ard_3-0-0_095085_2007-07-03_final
2008-11-10 09:40:16	ga_ls7e_ard_3-0-0_095084_2008-11-10_final
2009-04-03 09:41:04	ga_ls7e_ard_3-0-0_095083_2009-04-03_final
2009-10-12 09:41:16	ga_ls7e_ard_3-0-0_095084_2009-10-12_final
2009-10-28 09:41:32	ga_ls7e_ard_3-0-0_095084_2009-10-28_final
2010-12-18 09:45:02	ga_ls7e_ard_3-0-0_095086_2010-12-18_final
2010-12-18 09:45:26	ga_ls7e_ard_3-0-0_095087_2010-12-18_final
2012-05-29 09:46:29	ga_ls7e_ard_3-0-0_095086_2012-05-29_final
2012-06-30 09:44:57	ga_ls7e_ard_3-0-0_095082_2012-06-30_final
2015-07-25 09:52:09	ga_ls7e_ard_3-0-0_095087_2015-07-25_final
2017-04-09 09:54:17	ga_ls7e_ard_3-0-0_095086_2017-04-09_final
2018-08-18 09:50:06	ga_ls7e_ard_3-0-0_095085_2018-08-18_final
2018-11-22 09:47:32	ga_ls7e_ard_3-0-0_095084_2018-11-22_final
2019-10-08 09:37:18	ga_ls7e_ard_3-1-0_095087_2019-10-08_final
2020-11-27 09:12:15	ga_ls7e_ard_3-1-0_095084_2020-11-26_final
2021-02-08 08:56:47	ga_ls7e_ard_3-2-0_094074_2021-02-07_final
2021-02-26 08:45:03	ga_ls7e_ard_3-2-0_092079_2021-02-25_final
2021-03-05 08:48:42	ga_ls7e_ard_3-2-0_093074_2021-03-04_final
2021-03-09 10:00:57	ga_ls7e_ard_3-2-0_105070_2021-03-09_final
2021-03-10 10:48:31	ga_ls7e_ard_3-2-0_112081_2021-03-10_final
2021-03-10 10:49:19	ga_ls7e_ard_3-2-0_112083_2021-03-10_final
2021-03-25 08:23:35	ga_ls7e_ard_3-2-0_089077_2021-03-24_final
2021-04-09 10:57:39	ga_ls7e_ard_3-2-0_114079_2021-04-09_final
2021-04-20 10:33:48	ga_ls7e_ard_3-2-0_111068_2021-04-20_final
2021-04-26 10:01:47	ga_ls7e_ard_3-2-0_105082_2021-04-26_final
2021-04-29 08:54:45	ga_ls7e_ard_3-2-0_094085_2021-04-28_final
2021-05-02 11:01:29	ga_ls7e_ard_3-2-0_115078_2021-05-02_final
2021-05-06 10:35:38	ga_ls7e_ard_3-2-0_111076_2021-05-06_final
2021-05-19 10:06:02	ga_ls7e_ard_3-2-0_106082_2021-05-19_final
2021-05-21 09:52:43	ga_ls7e_ard_3-2-0_104080_2021-05-21_final
2021-05-22 08:53:49	ga_ls7e_ard_3-2-0_095072_2021-05-21_final
2021-06-07 10:31:45	ga_ls7e_ard_3-2-0_111073_2021-06-07_final
2021-06-11 10:11:05	ga_ls7e_ard_3-2-0_107084_2021-06-11_final
2021-06-13 08:18:53	ga_ls7e_ard_3-2-0_089082_2021-06-12_final
2021-06-23 08:51:33	ga_ls7e_ard_3-2-0_095073_2021-06-22_final
2021-07-03 09:28:12	ga_ls7e_ard_3-2-0_101074_2021-07-02_final
2021-07-22 08:24:11	ga_ls7e_ard_3-2-0_090088_2021-07-21_final
2021-07-25 08:53:38	ga_ls7e_ard_3-2-0_095085_2021-07-24_final
2021-08-05 10:09:00	ga_ls7e_ard_3-2-0_108075_2021-08-05_final
2021-08-06 10:51:47	ga_ls7e_ard_3-2-0_115074_2021-08-06_final
2021-08-21 10:05:12	ga_ls7e_ard_3-2-0_108069_2021-08-21_final
2021-08-23 09:57:51	ga_ls7e_ard_3-2-0_106082_2021-08-23_final
2021-08-29 09:16:16	ga_ls7e_ard_3-2-0_100072_2021-08-28_final
2021-09-09 08:56:22	ga_ls7e_ard_3-2-0_097071_2021-09-08_final
2021-09-10 09:39:09	ga_ls7e_ard_3-2-0_104070_2021-09-10_final
2021-09-10 09:43:08	ga_ls7e_ard_3-2-0_104080_2021-09-10_final
2021-09-10 09:43:56	ga_ls7e_ard_3-2-0_104082_2021-09-10_final
2021-09-17 09:49:06	ga_ls7e_ard_3-2-0_105081_2021-09-17_final
2021-09-23 09:06:41	ga_ls7e_ard_3-2-0_099069_2021-09-22_final
2021-09-26 09:37:43	ga_ls7e_ard_3-2-0_104070_2021-09-26_final
2021-10-06 10:19:30	ga_ls7e_ard_3-2-0_110084_2021-10-06_final
2021-10-08 08:26:29	ga_ls7e_ard_3-2-0_092080_2021-10-07_final
2021-10-13 10:18:17	ga_ls7e_ard_3-2-0_111067_2021-10-13_final
2021-10-20 08:52:32	ga_ls7e_ard_3-2-0_096086_2021-10-19_final
2021-10-20 10:28:37	ga_ls7e_ard_3-2-0_112079_2021-10-20_final
2021-10-22 08:35:12	ga_ls7e_ard_3-2-0_094074_2021-10-21_final
2021-10-24 08:27:03	ga_ls7e_ard_3-2-0_092085_2021-10-23_final
2021-10-24 10:04:44	ga_ls7e_ard_3-2-0_108082_2021-10-24_final
2021-11-06 09:27:26	ga_ls7e_ard_3-2-0_103069_2021-11-05_final
2021-11-09 08:26:21	ga_ls7e_ard_3-2-0_092087_2021-11-08_final
2021-11-09 08:26:45	ga_ls7e_ard_3-2-0_092088_2021-11-08_final
2021-11-14 10:15:42	ga_ls7e_ard_3-2-1_111068_2021-11-14_final
2021-11-19 08:58:52	ga_ls7e_ard_3-2-1_098078_2021-11-18_final
2021-12-03 09:07:30	ga_ls7e_ard_3-2-1_100072_2021-12-02_final
2021-12-04 09:49:52	ga_ls7e_ard_3-2-1_107070_2021-12-04_final
2021-12-05 08:59:45	ga_ls7e_ard_3-2-1_098084_2021-12-04_final
2021-12-13 08:09:33	ga_ls7e_ard_3-2-1_090084_2021-12-12_final
2021-12-16 08:40:09	ga_ls7e_ard_3-2-1_095084_2021-12-15_final
2021-12-19 09:06:22	ga_ls7e_ard_3-2-1_100073_2021-12-18_final
2021-12-21 08:58:36	ga_ls7e_ard_3-2-1_098085_2021-12-20_final
2022-01-03 08:26:24	ga_ls7e_ard_3-2-1_093085_2022-01-02_final
2022-01-05 08:10:15	ga_ls7e_ard_3-2-1_091076_2022-01-04_final
2022-01-06 08:55:48	ga_ls7e_ard_3-2-1_098082_2022-01-05_final
2022-01-07 09:38:10	ga_ls7e_ard_3-2-1_105080_2022-01-07_final
2022-01-08 10:22:56	ga_ls7e_ard_3-2-1_112084_2022-01-08_final
2022-01-09 09:25:38	ga_ls7e_ard_3-2-1_103080_2022-01-08_final
2022-01-12 08:16:58	ga_ls7e_ard_3-2-1_092079_2022-01-11_final
2022-01-12 08:17:22	ga_ls7e_ard_3-2-1_092080_2022-01-11_final
2022-01-12 08:17:46	ga_ls7e_ard_3-2-1_092081_2022-01-11_final
2022-01-30 08:04:28	ga_ls7e_ard_3-2-1_090083_2022-01-29_final
2022-02-02 08:36:16	ga_ls7e_ard_3-2-1_095086_2022-02-01_final
2022-02-11 10:01:39	ga_ls7e_ard_3-2-1_110070_2022-02-11_final
2022-02-18 10:08:19	ga_ls7e_ard_3-2-1_111073_2022-02-18_final
2022-02-19 09:11:01	ga_ls7e_ard_3-2-1_102069_2022-02-18_final
2022-02-27 08:22:49	ga_ls7e_ard_3-2-1_094074_2022-02-26_final
2022-02-27 08:26:00	ga_ls7e_ard_3-2-1_094082_2022-02-26_final
2022-03-07 09:09:28	ga_ls7e_ard_3-2-1_102069_2022-03-06_final
2022-03-12 09:27:31	ga_ls7e_ard_3-2-1_105069_2022-03-11_final
2022-03-24 09:53:27	ga_ls7e_ard_3-2-1_109075_2022-03-24_final
2022-03-27 08:48:47	ga_ls7e_ard_3-2-1_098084_2022-03-26_final
2022-03-28 07:52:40	ga_ls7e_ard_3-2-1_089083_2022-03-27_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