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 11:44:50	ga_ls7e_ard_3-1-0_115077_1999-07-25_final
1999-11-30 11:44:47	ga_ls7e_ard_3-1-0_115077_1999-11-30_final
2001-02-04 11:42:50	ga_ls7e_ard_3-0-0_115078_2001-02-04_final
2001-07-14 11:41:45	ga_ls7e_ard_3-0-0_115078_2001-07-14_final
2002-02-23 11:41:18	ga_ls7e_ard_3-0-0_115078_2002-02-23_final
2004-02-13 11:40:43	ga_ls7e_ard_3-0-0_115076_2004-02-13_final
2004-05-03 11:41:11	ga_ls7e_ard_3-0-0_115077_2004-05-03_final
2006-01-01 11:41:45	ga_ls7e_ard_3-1-0_115077_2006-01-01_final
2006-05-09 11:42:04	ga_ls7e_ard_3-0-0_115077_2006-05-09_final
2007-03-09 11:42:07	ga_ls7e_ard_3-0-0_115076_2007-03-09_final
2007-03-09 11:42:55	ga_ls7e_ard_3-0-0_115078_2007-03-09_final
2008-07-17 11:40:59	ga_ls7e_ard_3-0-0_115076_2008-07-17_final
2008-08-02 11:41:39	ga_ls7e_ard_3-0-0_115078_2008-08-02_final
2009-01-25 11:42:09	ga_ls7e_ard_3-0-0_115078_2009-01-25_final
2009-11-25 11:42:20	ga_ls7e_ard_3-0-0_115076_2009-11-25_final
2010-02-13 11:44:17	ga_ls7e_ard_3-0-0_115078_2010-02-13_final
2010-03-17 11:44:57	ga_ls7e_ard_3-0-0_115079_2010-03-17_final
2011-12-01 11:44:32	ga_ls7e_ard_3-0-0_115074_2011-12-01_final
2012-12-03 11:47:11	ga_ls7e_ard_3-0-0_115075_2012-12-03_final
2014-10-22 11:50:28	ga_ls7e_ard_3-0-0_115078_2014-10-22_final
2015-09-23 11:52:22	ga_ls7e_ard_3-0-0_115078_2015-09-23_final
2015-12-28 11:52:32	ga_ls7e_ard_3-0-0_115075_2015-12-28_final
2016-03-01 11:52:46	ga_ls7e_ard_3-0-0_115074_2016-03-01_final
2018-01-18 11:54:43	ga_ls7e_ard_3-0-0_115079_2018-01-18_final
2018-08-14 11:50:36	ga_ls7e_ard_3-1-0_115077_2018-08-14_final
2019-02-22 11:46:01	ga_ls7e_ard_3-1-0_115078_2019-02-22_final
2019-02-22 11:46:25	ga_ls7e_ard_3-1-0_115079_2019-02-22_final
2019-11-05 11:36:30	ga_ls7e_ard_3-1-0_115079_2019-11-05_final
2020-04-29 11:26:30	ga_ls7e_ard_3-1-0_115077_2020-04-29_final
2020-10-06 11:15:22	ga_ls7e_ard_3-1-0_115074_2020-10-06_final
2020-11-23 11:12:08	ga_ls7e_ard_3-1-0_115074_2020-11-23_final
2020-11-29 09:00:08	ga_ls7e_ard_3-1-0_093085_2020-11-28_final
2020-11-30 09:42:56	ga_ls7e_ard_3-1-0_100084_2020-11-30_final
2020-12-15 10:37:02	ga_ls7e_ard_3-1-0_109083_2020-12-15_final
2020-12-20 10:55:35	ga_ls7e_ard_3-1-0_112084_2020-12-20_final
2020-12-22 09:03:47	ga_ls7e_ard_3-1-0_094083_2020-12-21_final
2020-12-22 10:39:53	ga_ls7e_ard_3-1-0_110076_2020-12-22_final
2020-12-26 08:37:12	ga_ls7e_ard_3-1-0_090079_2020-12-25_final
2020-12-27 09:21:11	ga_ls7e_ard_3-1-0_097081_2020-12-26_final
2021-01-20 10:06:33	ga_ls7e_ard_3-2-0_105075_2021-01-20_final
2021-02-03 08:40:13	ga_ls7e_ard_3-2-0_091078_2021-02-02_final
2021-02-13 10:53:50	ga_ls7e_ard_3-2-0_113074_2021-02-13_final
2021-02-15 10:44:07	ga_ls7e_ard_3-2-0_111081_2021-02-15_final
2021-02-16 09:43:38	ga_ls7e_ard_3-2-0_102069_2021-02-16_final
2021-02-16 09:44:02	ga_ls7e_ard_3-2-0_102070_2021-02-16_final
2021-02-21 10:03:47	ga_ls7e_ard_3-2-0_105074_2021-02-21_final
2021-02-24 10:33:39	ga_ls7e_ard_3-2-0_110072_2021-02-24_final
2021-03-09 10:02:57	ga_ls7e_ard_3-2-0_105075_2021-03-09_final
2021-03-12 10:34:00	ga_ls7e_ard_3-2-0_110076_2021-03-12_final
2021-03-15 11:04:40	ga_ls7e_ard_3-2-0_115076_2021-03-15_final
2021-03-21 08:51:01	ga_ls7e_ard_3-2-0_093083_2021-03-20_final
2021-03-21 10:30:18	ga_ls7e_ard_3-2-0_109084_2021-03-21_final
2021-03-25 10:00:28	ga_ls7e_ard_3-2-0_105072_2021-03-25_final
2021-03-25 10:01:16	ga_ls7e_ard_3-2-0_105074_2021-03-25_final
2021-03-31 11:04:34	ga_ls7e_ard_3-2-0_115079_2021-03-31_final
2021-05-04 09:06:54	ga_ls7e_ard_3-2-0_097070_2021-05-03_final
2021-05-24 10:21:46	ga_ls7e_ard_3-2-0_109076_2021-05-24_final
2021-06-11 10:11:05	ga_ls7e_ard_3-2-0_107084_2021-06-11_final
2021-06-27 08:31:18	ga_ls7e_ard_3-2-0_091085_2021-06-26_final
2021-06-30 09:00:21	ga_ls7e_ard_3-2-0_096081_2021-06-29_final
2021-07-09 08:55:48	ga_ls7e_ard_3-2-0_095087_2021-07-08_final
2021-07-30 09:05:45	ga_ls7e_ard_3-2-0_098070_2021-07-29_final
2021-08-08 10:36:27	ga_ls7e_ard_3-2-0_113067_2021-08-08_final
2021-08-11 09:29:24	ga_ls7e_ard_3-2-0_102070_2021-08-10_final
2021-08-16 09:49:29	ga_ls7e_ard_3-2-0_105075_2021-08-16_final
2021-08-17 08:50:35	ga_ls7e_ard_3-2-0_096067_2021-08-16_final
2021-08-22 10:50:46	ga_ls7e_ard_3-2-0_115075_2021-08-22_final
2021-09-08 08:19:59	ga_ls7e_ard_3-2-0_090088_2021-09-07_final
2021-10-03 09:44:04	ga_ls7e_ard_3-2-0_105072_2021-10-03_final
2021-10-08 10:01:23	ga_ls7e_ard_3-2-0_108070_2021-10-08_final
2021-10-09 09:05:40	ga_ls7e_ard_3-2-0_099070_2021-10-08_final
2021-10-09 10:46:57	ga_ls7e_ard_3-2-0_115076_2021-10-09_final
2021-10-19 09:43:51	ga_ls7e_ard_3-2-0_105075_2021-10-19_final
2021-10-26 08:16:06	ga_ls7e_ard_3-2-0_090089_2021-10-25_final
2021-11-01 09:10:58	ga_ls7e_ard_3-2-0_100073_2021-10-31_final
2021-11-03 08:57:37	ga_ls7e_ard_3-2-0_098071_2021-11-02_final
2021-11-05 10:28:20	ga_ls7e_ard_3-2-0_112082_2021-11-05_final
2021-11-07 10:12:59	ga_ls7e_ard_3-2-0_110075_2021-11-07_final
2021-11-09 10:00:26	ga_ls7e_ard_3-2-0_108075_2021-11-09_final
2021-11-10 10:43:36	ga_ls7e_ard_3-2-0_115075_2021-11-10_final
2021-11-26 08:59:58	ga_ls7e_ard_3-2-1_099067_2021-11-25_final
2021-11-28 08:49:26	ga_ls7e_ard_3-2-1_097072_2021-11-27_final
2021-12-04 08:14:59	ga_ls7e_ard_3-2-1_091080_2021-12-03_final
2021-12-09 10:10:44	ga_ls7e_ard_3-2-1_110077_2021-12-09_final
2021-12-16 10:12:39	ga_ls7e_ard_3-2-1_111068_2021-12-16_final
2021-12-18 08:27:12	ga_ls7e_ard_3-2-1_093083_2021-12-17_final
2021-12-23 10:20:56	ga_ls7e_ard_3-2-1_112075_2021-12-23_final
2021-12-28 09:03:41	ga_ls7e_ard_3-2-1_099084_2021-12-27_final
2021-12-29 09:42:04	ga_ls7e_ard_3-2-1_106072_2021-12-29_final
2022-01-03 08:26:24	ga_ls7e_ard_3-2-1_093085_2022-01-02_final
2022-01-06 10:31:29	ga_ls7e_ard_3-2-1_114074_2022-01-06_final
2022-01-11 09:10:17	ga_ls7e_ard_3-2-1_101073_2022-01-10_final
2022-01-13 10:38:37	ga_ls7e_ard_3-2-1_115078_2022-01-13_final
2022-01-19 09:58:58	ga_ls7e_ard_3-2-1_109073_2022-01-19_final
2022-01-29 10:37:28	ga_ls7e_ard_3-2-1_115079_2022-01-29_final
2022-02-21 08:59:40	ga_ls7e_ard_3-2-1_100072_2022-02-20_final
2022-02-27 08:27:12	ga_ls7e_ard_3-2-1_094085_2022-02-26_final
2022-03-12 07:53:49	ga_ls7e_ard_3-2-1_089082_2022-03-11_final
2022-03-24 09:54:15	ga_ls7e_ard_3-2-1_109077_2022-03-24_final
2022-03-26 09:38:55	ga_ls7e_ard_3-2-1_107070_2022-03-26_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