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
2001-03-24 11:41:23	ga_ls7e_ard_3-0-0_115075_2001-03-24_final
2002-11-06 11:39:05	ga_ls7e_ard_3-0-0_115075_2002-11-06_final
2004-01-28 11:40:40	ga_ls7e_ard_3-0-0_115076_2004-01-28_final
2007-01-20 11:43:03	ga_ls7e_ard_3-0-0_115079_2007-01-20_final
2007-09-17 11:41:01	ga_ls7e_ard_3-0-0_115075_2007-09-17_final
2009-01-25 11:42:09	ga_ls7e_ard_3-0-0_115078_2009-01-25_final
2009-03-14 11:42:33	ga_ls7e_ard_3-0-0_115078_2009-03-14_final
2010-03-17 11:44:57	ga_ls7e_ard_3-0-0_115079_2010-03-17_final
2010-12-30 11:43:58	ga_ls7e_ard_3-0-0_115074_2010-12-30_final
2011-11-15 11:44:22	ga_ls7e_ard_3-0-0_115074_2011-11-15_final
2011-12-01 11:44:32	ga_ls7e_ard_3-0-0_115074_2011-12-01_final
2012-01-18 11:45:37	ga_ls7e_ard_3-0-0_115076_2012-01-18_final
2014-01-07 11:47:15	ga_ls7e_ard_3-0-0_115074_2014-01-07_final
2014-02-24 11:49:31	ga_ls7e_ard_3-0-0_115079_2014-02-24_final
2016-09-25 11:53:33	ga_ls7e_ard_3-0-0_115074_2016-09-25_final
2017-11-15 11:55:00	ga_ls7e_ard_3-0-0_115078_2017-11-15_final
2018-03-23 11:53:30	ga_ls7e_ard_3-0-0_115078_2018-03-23_final
2018-08-30 11:49:05	ga_ls7e_ard_3-0-0_115074_2018-08-30_final
2019-02-22 11:44:50	ga_ls7e_ard_3-1-0_115075_2019-02-22_final
2019-09-02 11:38:03	ga_ls7e_ard_3-1-0_115076_2019-09-02_final
2019-10-20 11:35:12	ga_ls7e_ard_3-1-0_115074_2019-10-20_final
2019-12-23 11:32:10	ga_ls7e_ard_3-1-0_115074_2019-12-23_final
2019-12-23 11:33:46	ga_ls7e_ard_3-1-0_115078_2019-12-23_final
2020-02-09 11:30:32	ga_ls7e_ard_3-1-0_115076_2020-02-09_final
2020-11-23 09:30:52	ga_ls7e_ard_3-1-0_099068_2020-11-23_final
2020-11-29 10:34:14	ga_ls7e_ard_3-1-0_109073_2020-11-29_final
2020-11-30 09:42:32	ga_ls7e_ard_3-1-0_100083_2020-11-30_final
2020-12-04 09:12:44	ga_ls7e_ard_3-1-0_096071_2020-12-03_final
2020-12-05 09:59:30	ga_ls7e_ard_3-1-0_103080_2020-12-05_final
2020-12-17 08:47:14	ga_ls7e_ard_3-1-0_091087_2020-12-16_final
2020-12-17 10:21:43	ga_ls7e_ard_3-1-0_107076_2020-12-17_final
2020-12-19 08:31:56	ga_ls7e_ard_3-1-0_089080_2020-12-18_final
2021-01-03 09:21:42	ga_ls7e_ard_3-1-0_098068_2021-01-02_final
2021-01-05 09:10:24	ga_ls7e_ard_3-1-0_096071_2021-01-04_final
2021-01-10 11:09:28	ga_ls7e_ard_3-1-0_115076_2021-01-10_final
2021-01-19 09:22:10	ga_ls7e_ard_3-1-0_098072_2021-01-18_final
2021-02-03 08:43:24	ga_ls7e_ard_3-2-0_091086_2021-02-02_final
2021-02-08 10:35:16	ga_ls7e_ard_3-2-0_110073_2021-02-08_final
2021-02-13 09:13:21	ga_ls7e_ard_3-2-0_097070_2021-02-12_final
2021-02-24 10:33:15	ga_ls7e_ard_3-2-0_110071_2021-02-24_final
2021-02-24 10:35:15	ga_ls7e_ard_3-2-0_110076_2021-02-24_final
2021-03-10 10:45:43	ga_ls7e_ard_3-2-0_112074_2021-03-10_final
2021-03-14 08:47:48	ga_ls7e_ard_3-2-0_092089_2021-03-13_final
2021-03-15 09:24:12	ga_ls7e_ard_3-2-0_099072_2021-03-14_final
2021-03-19 10:36:02	ga_ls7e_ard_3-2-0_111067_2021-03-19_final
2021-03-26 09:09:57	ga_ls7e_ard_3-2-0_096085_2021-03-25_final
2021-04-01 10:06:05	ga_ls7e_ard_3-2-0_106072_2021-04-01_final
2021-04-13 10:29:48	ga_ls7e_ard_3-2-0_110072_2021-04-13_final
2021-04-24 08:36:14	ga_ls7e_ard_3-2-0_091084_2021-04-23_final
2021-04-24 08:36:38	ga_ls7e_ard_3-2-0_091085_2021-04-23_final
2021-04-25 09:19:01	ga_ls7e_ard_3-2-0_098083_2021-04-24_final
2021-05-08 10:21:07	ga_ls7e_ard_3-2-0_109071_2021-05-08_final
2021-05-10 10:08:12	ga_ls7e_ard_3-2-0_107070_2021-05-10_final
2021-05-12 08:20:47	ga_ls7e_ard_3-2-0_089080_2021-05-11_final
2021-05-18 10:58:57	ga_ls7e_ard_3-2-0_115075_2021-05-18_final
2021-05-20 10:49:13	ga_ls7e_ard_3-2-0_113082_2021-05-20_final
2021-05-20 10:50:01	ga_ls7e_ard_3-2-0_113084_2021-05-20_final
2021-05-27 10:54:00	ga_ls7e_ard_3-2-0_114080_2021-05-27_final
2021-06-04 10:02:41	ga_ls7e_ard_3-2-0_106077_2021-06-04_final
2021-06-07 08:57:15	ga_ls7e_ard_3-2-0_095084_2021-06-06_final
2021-06-12 09:12:36	ga_ls7e_ard_3-2-0_098077_2021-06-11_final
2021-06-13 08:17:18	ga_ls7e_ard_3-2-0_089078_2021-06-12_final
2021-06-20 09:58:11	ga_ls7e_ard_3-2-0_106069_2021-06-20_final
2021-07-06 09:57:15	ga_ls7e_ard_3-2-0_106070_2021-07-06_final
2021-07-11 10:16:58	ga_ls7e_ard_3-2-0_109074_2021-07-11_final
2021-07-20 10:08:49	ga_ls7e_ard_3-2-0_108071_2021-07-20_final
2021-07-27 10:14:23	ga_ls7e_ard_3-2-0_109071_2021-07-27_final
2021-07-28 09:19:05	ga_ls7e_ard_3-2-0_100072_2021-07-27_final
2021-07-29 08:24:58	ga_ls7e_ard_3-2-0_091076_2021-07-28_final
2021-08-11 09:28:36	ga_ls7e_ard_3-2-0_102068_2021-08-10_final
2021-08-11 09:29:24	ga_ls7e_ard_3-2-0_102070_2021-08-10_final
2021-08-14 10:02:01	ga_ls7e_ard_3-2-0_107075_2021-08-14_final
2021-09-07 09:08:07	ga_ls7e_ard_3-2-0_099069_2021-09-06_final
2021-09-28 09:26:22	ga_ls7e_ard_3-2-0_102073_2021-09-27_final
2021-10-01 09:58:12	ga_ls7e_ard_3-2-0_107076_2021-10-01_final
2021-10-02 08:58:54	ga_ls7e_ard_3-2-0_098067_2021-10-01_final
2021-10-03 08:07:35	ga_ls7e_ard_3-2-0_089078_2021-10-02_final
2021-10-04 08:52:45	ga_ls7e_ard_3-2-0_096083_2021-10-03_final
2021-10-13 08:41:48	ga_ls7e_ard_3-2-0_095073_2021-10-12_final
2021-10-31 08:32:59	ga_ls7e_ard_3-2-0_093086_2021-10-30_final
2021-10-31 08:33:23	ga_ls7e_ard_3-2-0_093087_2021-10-30_final
2021-11-07 10:16:11	ga_ls7e_ard_3-2-0_110083_2021-11-07_final
2021-11-12 10:34:14	ga_ls7e_ard_3-2-1_113083_2021-11-12_final
2021-11-16 10:06:20	ga_ls7e_ard_3-2-1_109076_2021-11-16_final
2021-11-18 09:53:47	ga_ls7e_ard_3-2-1_107076_2021-11-18_final
2021-11-21 08:49:30	ga_ls7e_ard_3-2-1_096086_2021-11-20_final
2021-11-21 10:23:59	ga_ls7e_ard_3-2-1_112075_2021-11-21_final
2021-12-06 09:37:19	ga_ls7e_ard_3-2-1_105070_2021-12-06_final
2021-12-12 10:41:44	ga_ls7e_ard_3-2-1_115078_2021-12-12_final
2021-12-14 08:51:31	ga_ls7e_ard_3-2-1_097081_2021-12-13_final
2021-12-19 09:06:22	ga_ls7e_ard_3-2-1_100073_2021-12-18_final
2021-12-21 08:52:13	ga_ls7e_ard_3-2-1_098069_2021-12-20_final
2021-12-21 08:53:01	ga_ls7e_ard_3-2-1_098071_2021-12-20_final
2021-12-21 10:33:54	ga_ls7e_ard_3-2-1_114076_2021-12-21_final
2021-12-27 08:18:32	ga_ls7e_ard_3-2-1_092079_2021-12-26_final
2022-01-05 09:49:07	ga_ls7e_ard_3-2-1_107076_2022-01-05_final
2022-01-19 08:22:05	ga_ls7e_ard_3-2-1_093078_2022-01-18_final
2022-01-21 08:13:32	ga_ls7e_ard_3-2-1_091088_2022-01-20_final
2022-01-23 07:58:11	ga_ls7e_ard_3-2-1_089081_2022-01-22_final
2022-02-14 10:35:26	ga_ls7e_ard_3-2-1_115078_2022-02-14_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years