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
1999-12-07 11:51:29	ga_ls7e_ard_3-0-0_116078_1999-12-07_final
2006-02-27 11:36:43	ga_ls7e_ard_3-0-0_114079_2006-02-27_final
2006-03-31 11:34:42	ga_ls7e_ard_3-0-0_114074_2006-03-31_final
2006-06-10 11:42:49	ga_ls7e_ard_3-0-0_115079_2006-06-10_final
2007-05-12 11:41:36	ga_ls7e_ard_3-0-0_115075_2007-05-12_final
2007-08-09 11:37:06	ga_ls7e_ard_3-0-0_114080_2007-08-09_final
2007-12-31 11:37:22	ga_ls7e_ard_3-0-0_114080_2007-12-31_final
2008-06-15 11:40:33	ga_ls7e_ard_3-0-0_115074_2008-06-15_final
2008-11-15 11:34:35	ga_ls7e_ard_3-0-0_114076_2008-11-15_final
2009-06-02 11:42:03	ga_ls7e_ard_3-0-0_115076_2009-06-02_final
2009-08-30 11:36:24	ga_ls7e_ard_3-0-0_114078_2009-08-30_final
2011-04-23 11:36:02	ga_ls7e_ard_3-0-0_113084_2011-04-23_final
2012-08-06 11:41:15	ga_ls7e_ard_3-0-0_114078_2012-08-06_final
2012-11-17 11:47:10	ga_ls7e_ard_3-0-0_115075_2012-11-17_final
2013-05-14 11:38:19	ga_ls7e_ard_3-0-0_113084_2013-05-14_final
2013-11-29 11:41:19	ga_ls7e_ard_3-0-0_114075_2013-11-29_final
2014-06-09 11:42:02	ga_ls7e_ard_3-0-0_114074_2014-06-09_final
2015-02-27 11:50:03	ga_ls7e_ard_3-0-0_115075_2015-02-27_final
2015-06-03 11:52:20	ga_ls7e_ard_3-0-0_115079_2015-06-03_final
2015-08-22 11:51:51	ga_ls7e_ard_3-1-0_115077_2015-08-22_final
2015-12-21 11:47:29	ga_ls7e_ard_3-0-0_114078_2015-12-21_final
2015-12-28 11:53:44	ga_ls7e_ard_3-0-0_115078_2015-12-28_final
2016-01-22 11:48:20	ga_ls7e_ard_3-0-0_114079_2016-01-22_final
2016-03-01 11:53:57	ga_ls7e_ard_3-1-0_115077_2016-03-01_final
2016-03-17 11:54:07	ga_ls7e_ard_3-1-0_115077_2016-03-17_final
2017-06-17 11:48:51	ga_ls7e_ard_3-0-0_114078_2017-06-17_final
2017-08-20 11:48:50	ga_ls7e_ard_3-0-0_114078_2017-08-20_final
2017-09-05 11:48:26	ga_ls7e_ard_3-0-0_114077_2017-09-05_final
2019-05-29 11:41:26	ga_ls7e_ard_3-0-0_115075_2019-05-29_final
2019-06-30 11:41:52	ga_ls7e_ard_3-0-0_115079_2019-06-30_final
2019-07-16 11:39:15	ga_ls7e_ard_3-0-0_115074_2019-07-16_final
2019-08-17 11:38:44	ga_ls7e_ard_3-0-0_115076_2019-08-17_final
2019-08-19 11:29:29	ga_ls7e_ard_3-0-0_113084_2019-08-19_final
2019-12-07 11:34:11	ga_ls7e_ard_3-1-0_115077_2019-12-07_final
2020-08-19 11:20:05	ga_ls7e_ard_3-1-0_115078_2020-08-19_final
2020-08-28 11:14:07	ga_ls7e_ard_3-1-0_114080_2020-08-28_final
2020-11-27 10:50:20	ga_ls7e_ard_3-1-0_111082_2020-11-27_final
2020-12-10 08:41:59	ga_ls7e_ard_3-1-0_090088_2020-12-09_final
2021-01-05 09:12:00	ga_ls7e_ard_3-1-0_096075_2021-01-04_final
2021-01-06 09:52:47	ga_ls7e_ard_3-1-0_103069_2021-01-06_final
2021-01-09 10:25:52	ga_ls7e_ard_3-1-0_108075_2021-01-09_final
2021-01-10 09:32:11	ga_ls7e_ard_3-1-0_099080_2021-01-10_final
2021-01-12 09:16:29	ga_ls7e_ard_3-1-0_097072_2021-01-11_final
2021-01-13 10:00:04	ga_ls7e_ard_3-1-0_104073_2021-01-13_final
2021-01-21 10:50:08	ga_ls7e_ard_3-2-0_112076_2021-01-21_final
2021-02-03 08:43:48	ga_ls7e_ard_3-2-0_091087_2021-02-02_final
2021-02-06 10:48:58	ga_ls7e_ard_3-2-0_112076_2021-02-06_final
2021-02-10 10:27:09	ga_ls7e_ard_3-2-0_108084_2021-02-10_final
2021-02-13 09:17:45	ga_ls7e_ard_3-2-0_097081_2021-02-12_final
2021-02-14 09:58:56	ga_ls7e_ard_3-2-0_104076_2021-02-14_final
2021-03-07 08:36:59	ga_ls7e_ard_3-2-0_091076_2021-03-06_final
2021-03-08 09:23:21	ga_ls7e_ard_3-2-0_098084_2021-03-07_final
2021-03-20 09:45:55	ga_ls7e_ard_3-2-0_102081_2021-03-20_final
2021-03-24 09:21:41	ga_ls7e_ard_3-2-0_098083_2021-03-23_final
2021-04-01 10:05:17	ga_ls7e_ard_3-2-0_106070_2021-04-01_final
2021-04-13 10:30:12	ga_ls7e_ard_3-2-0_110073_2021-04-13_final
2021-04-15 08:43:59	ga_ls7e_ard_3-2-0_092086_2021-04-14_final
2021-04-25 09:17:25	ga_ls7e_ard_3-2-0_098079_2021-04-24_final
2021-04-26 09:56:12	ga_ls7e_ard_3-2-0_105068_2021-04-26_final
2021-05-15 08:52:37	ga_ls7e_ard_3-2-0_094083_2021-05-14_final
2021-06-02 08:38:19	ga_ls7e_ard_3-2-0_092082_2021-06-01_final
2021-06-14 10:41:21	ga_ls7e_ard_3-2-0_112083_2021-06-14_final
2021-06-16 08:50:21	ga_ls7e_ard_3-2-0_094084_2021-06-15_final
2021-06-18 08:35:02	ga_ls7e_ard_3-2-0_092077_2021-06-17_final
2021-06-19 09:19:24	ga_ls7e_ard_3-2-0_099080_2021-06-18_final
2021-06-29 08:17:34	ga_ls7e_ard_3-2-0_089082_2021-06-28_final
2021-07-15 09:49:30	ga_ls7e_ard_3-2-0_105068_2021-07-15_final
2021-08-03 08:45:04	ga_ls7e_ard_3-2-0_094081_2021-08-02_final
2021-08-14 08:23:57	ga_ls7e_ard_3-2-0_091077_2021-08-13_final
2021-10-07 09:20:36	ga_ls7e_ard_3-2-0_101076_2021-10-06_final
2021-10-12 09:41:06	ga_ls7e_ard_3-2-0_104082_2021-10-12_final
2021-10-15 08:30:03	ga_ls7e_ard_3-2-0_093075_2021-10-14_final
2021-10-22 10:13:17	ga_ls7e_ard_3-2-0_110072_2021-10-22_final
2021-10-25 10:45:06	ga_ls7e_ard_3-2-0_115075_2021-10-25_final
2021-10-29 10:20:01	ga_ls7e_ard_3-2-0_111075_2021-10-29_final
2021-11-06 09:29:02	ga_ls7e_ard_3-2-0_103073_2021-11-05_final
2021-11-07 10:13:23	ga_ls7e_ard_3-2-0_110076_2021-11-07_final
2021-11-13 09:36:56	ga_ls7e_ard_3-2-1_104079_2021-11-13_final
2021-12-02 08:30:19	ga_ls7e_ard_3-2-1_093087_2021-12-01_final
2021-12-07 08:45:12	ga_ls7e_ard_3-2-1_096079_2021-12-06_final
2021-12-11 08:18:54	ga_ls7e_ard_3-2-1_092076_2021-12-10_final
2021-12-12 10:40:09	ga_ls7e_ard_3-2-1_115074_2021-12-12_final
2021-12-21 08:51:49	ga_ls7e_ard_3-2-1_098068_2021-12-20_final
2022-01-01 08:33:47	ga_ls7e_ard_3-2-1_095072_2021-12-31_final
2022-01-22 08:51:54	ga_ls7e_ard_3-2-1_098076_2022-01-21_final
2022-01-22 10:31:35	ga_ls7e_ard_3-2-1_114078_2022-01-22_final
2022-01-31 08:47:14	ga_ls7e_ard_3-2-1_097082_2022-01-30_final
2022-01-31 10:25:19	ga_ls7e_ard_3-2-1_113080_2022-01-31_final
2022-02-07 08:51:06	ga_ls7e_ard_3-2-1_098078_2022-02-06_final
2022-02-16 10:24:04	ga_ls7e_ard_3-2-1_113081_2022-02-16_final
2022-02-22 08:09:32	ga_ls7e_ard_3-2-1_091086_2022-02-21_final
2022-03-03 09:37:23	ga_ls7e_ard_3-2-1_106076_2022-03-03_final
2022-03-05 09:23:37	ga_ls7e_ard_3-2-1_104073_2022-03-04_final
2022-03-07 09:09:52	ga_ls7e_ard_3-2-1_102070_2022-03-06_final
2022-03-13 08:32:11	ga_ls7e_ard_3-2-1_096070_2022-03-12_final
2022-03-19 08:01:41	ga_ls7e_ard_3-2-1_090088_2022-03-18_final
2022-03-19 09:34:35	ga_ls7e_ard_3-2-1_106073_2022-03-19_final
2022-03-19 09:35:46	ga_ls7e_ard_3-2-1_106076_2022-03-19_final
2022-03-26 08:02:26	ga_ls7e_ard_3-2-1_091076_2022-03-25_final
2022-03-27 10:25:16	ga_ls7e_ard_3-2-1_114078_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years