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
1999-11-30 11:45:35	ga_ls7e_ard_3-0-0_115079_1999-11-30_final
2000-10-08 11:37:48	ga_ls7e_ard_3-0-0_114081_2000-10-08_final
2001-11-03 11:41:09	ga_ls7e_ard_3-0-0_115079_2001-11-03_final
2002-01-31 11:36:13	ga_ls7e_ard_3-0-0_114081_2002-01-31_final
2002-04-05 11:36:12	ga_ls7e_ard_3-0-0_114081_2002-04-05_final
2003-02-26 11:40:39	ga_ls7e_ard_3-0-0_115077_2003-02-26_final
2004-05-03 11:39:59	ga_ls7e_ard_3-0-0_115074_2004-05-03_final
2004-05-03 11:41:11	ga_ls7e_ard_3-0-0_115077_2004-05-03_final
2004-05-28 11:36:34	ga_ls7e_ard_3-0-0_114081_2004-05-28_final
2004-09-24 11:39:25	ga_ls7e_ard_3-0-0_115074_2004-09-24_final
2004-09-24 11:40:13	ga_ls7e_ard_3-0-0_115076_2004-09-24_final
2004-10-10 11:41:18	ga_ls7e_ard_3-0-0_115079_2004-10-10_final
2004-11-11 11:41:44	ga_ls7e_ard_3-0-0_115079_2004-11-11_final
2004-12-06 11:34:58	ga_ls7e_ard_3-0-0_114077_2004-12-06_final
2004-12-22 11:34:18	ga_ls7e_ard_3-0-0_114075_2004-12-22_final
2006-05-09 11:42:04	ga_ls7e_ard_3-0-0_115077_2006-05-09_final
2006-06-03 11:37:28	ga_ls7e_ard_3-0-0_114081_2006-06-03_final
2006-06-26 11:41:56	ga_ls7e_ard_3-1-0_115077_2006-06-26_final
2006-12-19 11:42:59	ga_ls7e_ard_3-0-0_115079_2006-12-19_final
2007-03-09 11:41:43	ga_ls7e_ard_3-0-0_115075_2007-03-09_final
2007-05-28 11:42:16	ga_ls7e_ard_3-1-0_115077_2007-05-28_final
2010-12-14 11:44:13	ga_ls7e_ard_3-0-0_115075_2010-12-14_final
2015-03-24 11:46:28	ga_ls7e_ard_3-0-0_114081_2015-03-24_final
2015-10-18 11:42:05	ga_ls7e_ard_3-0-0_114067_2015-10-18_final
2016-06-30 11:49:59	ga_ls7e_ard_3-0-0_114081_2016-06-30_final
2016-11-12 11:55:22	ga_ls7e_ard_3-0-0_115079_2016-11-12_final
2017-01-15 11:54:09	ga_ls7e_ard_3-0-0_115077_2017-01-15_final
2017-06-24 11:53:27	ga_ls7e_ard_3-0-0_115074_2017-06-24_final
2017-11-15 11:53:48	ga_ls7e_ard_3-0-0_115075_2017-11-15_final
2018-02-28 11:48:48	ga_ls7e_ard_3-0-0_114081_2018-02-28_final
2018-11-27 11:43:38	ga_ls7e_ard_3-0-0_114081_2018-11-27_final
2019-08-10 11:34:51	ga_ls7e_ard_3-0-0_114081_2019-08-10_final
2020-08-28 11:14:07	ga_ls7e_ard_3-1-0_114080_2020-08-28_final
2020-11-16 11:06:51	ga_ls7e_ard_3-1-0_114075_2020-11-16_final
2020-11-24 10:18:03	ga_ls7e_ard_3-1-0_106078_2020-11-24_final
2020-12-16 09:39:20	ga_ls7e_ard_3-1-0_100078_2020-12-16_final
2020-12-20 10:51:59	ga_ls7e_ard_3-1-0_112075_2020-12-20_final
2020-12-24 08:53:41	ga_ls7e_ard_3-1-0_092089_2020-12-23_final
2020-12-26 08:41:11	ga_ls7e_ard_3-1-0_090089_2020-12-25_final
2021-01-27 08:34:09	ga_ls7e_ard_3-2-0_090077_2021-01-26_final
2021-02-06 09:13:17	ga_ls7e_ard_3-2-0_096084_2021-02-05_final
2021-02-13 10:54:38	ga_ls7e_ard_3-2-0_113076_2021-02-13_final
2021-02-13 10:57:01	ga_ls7e_ard_3-2-0_113082_2021-02-13_final
2021-02-14 10:01:20	ga_ls7e_ard_3-2-0_104082_2021-02-14_final
2021-02-26 10:21:56	ga_ls7e_ard_3-2-0_108074_2021-02-26_final
2021-03-06 09:35:52	ga_ls7e_ard_3-2-0_100084_2021-03-06_final
2021-03-07 10:14:16	ga_ls7e_ard_3-2-0_107072_2021-03-07_final
2021-03-09 10:00:33	ga_ls7e_ard_3-2-0_105069_2021-03-09_final
2021-03-24 09:20:05	ga_ls7e_ard_3-2-0_098079_2021-03-23_final
2021-04-09 09:20:46	ga_ls7e_ard_3-2-0_098084_2021-04-08_final
2021-04-10 10:00:21	ga_ls7e_ard_3-2-0_105075_2021-04-10_final
2021-04-16 09:23:34	ga_ls7e_ard_3-2-0_099077_2021-04-15_final
2021-04-22 08:48:46	ga_ls7e_ard_3-2-0_093084_2021-04-21_final
2021-04-24 08:37:50	ga_ls7e_ard_3-2-0_091088_2021-04-23_final
2021-04-26 09:59:24	ga_ls7e_ard_3-2-0_105076_2021-04-26_final
2021-05-01 08:43:50	ga_ls7e_ard_3-2-0_092089_2021-04-30_final
2021-05-04 09:10:05	ga_ls7e_ard_3-2-0_097078_2021-05-03_final
2021-05-04 10:51:22	ga_ls7e_ard_3-2-0_113084_2021-05-04_final
2021-05-19 10:06:26	ga_ls7e_ard_3-2-0_106083_2021-05-19_final
2021-05-26 08:31:57	ga_ls7e_ard_3-2-0_091080_2021-05-25_final
2021-06-19 09:20:36	ga_ls7e_ard_3-2-0_099083_2021-06-18_final
2021-06-29 08:16:22	ga_ls7e_ard_3-2-0_089079_2021-06-28_final
2021-07-07 10:46:01	ga_ls7e_ard_3-2-0_113084_2021-07-07_final
2021-08-15 09:03:08	ga_ls7e_ard_3-2-0_098067_2021-08-14_final
2021-08-19 10:18:08	ga_ls7e_ard_3-2-0_110070_2021-08-19_final
2021-08-22 09:13:53	ga_ls7e_ard_3-2-0_099080_2021-08-21_final
2021-08-24 10:41:50	ga_ls7e_ard_3-2-0_113084_2021-08-24_final
2021-09-07 09:11:18	ga_ls7e_ard_3-2-0_099077_2021-09-06_final
2021-09-11 08:44:38	ga_ls7e_ard_3-2-0_095073_2021-09-10_final
2021-09-20 08:42:50	ga_ls7e_ard_3-2-0_094086_2021-09-19_final
2021-09-24 09:52:15	ga_ls7e_ard_3-2-0_106075_2021-09-24_final
2021-10-01 08:21:43	ga_ls7e_ard_3-2-0_091082_2021-09-30_final
2021-10-19 09:43:27	ga_ls7e_ard_3-2-0_105074_2021-10-19_final
2021-10-25 09:07:26	ga_ls7e_ard_3-2-0_099078_2021-10-24_final
2021-11-02 09:58:07	ga_ls7e_ard_3-2-0_107083_2021-11-02_final
2021-11-18 09:53:47	ga_ls7e_ard_3-2-1_107076_2021-11-18_final
2021-11-26 09:03:34	ga_ls7e_ard_3-2-1_099076_2021-11-25_final
2021-11-27 09:47:08	ga_ls7e_ard_3-2-1_106077_2021-11-27_final
2021-11-28 10:29:30	ga_ls7e_ard_3-2-1_113075_2021-11-28_final
2021-11-30 08:42:52	ga_ls7e_ard_3-2-1_095087_2021-11-29_final
2021-11-30 10:15:22	ga_ls7e_ard_3-2-1_111071_2021-11-30_final
2021-12-06 09:37:19	ga_ls7e_ard_3-2-1_105070_2021-12-06_final
2021-12-12 09:02:28	ga_ls7e_ard_3-2-1_099077_2021-12-11_final
2021-12-18 08:28:00	ga_ls7e_ard_3-2-1_093085_2021-12-17_final
2021-12-25 10:07:59	ga_ls7e_ard_3-2-1_110074_2021-12-25_final
2021-12-27 09:55:25	ga_ls7e_ard_3-2-1_108074_2021-12-27_final
2022-01-05 09:49:07	ga_ls7e_ard_3-2-1_107076_2022-01-05_final
2022-01-10 10:08:48	ga_ls7e_ard_3-2-1_110080_2022-01-10_final
2022-01-10 10:10:23	ga_ls7e_ard_3-2-1_110084_2022-01-10_final
2022-01-13 08:55:21	ga_ls7e_ard_3-2-1_099067_2022-01-12_final
2022-01-16 09:31:57	ga_ls7e_ard_3-2-1_104082_2022-01-16_final
2022-02-02 08:36:40	ga_ls7e_ard_3-2-1_095087_2022-02-01_final
2022-02-07 08:46:43	ga_ls7e_ard_3-2-1_098067_2022-02-06_final
2022-02-09 10:19:49	ga_ls7e_ard_3-2-1_112084_2022-02-09_final
2022-02-20 09:54:59	ga_ls7e_ard_3-2-1_109071_2022-02-20_final
2022-03-08 09:57:25	ga_ls7e_ard_3-2-1_109081_2022-03-08_final
2022-03-08 09:57:49	ga_ls7e_ard_3-2-1_109082_2022-03-08_final
2022-03-11 08:43:33	ga_ls7e_ard_3-2-1_098067_2022-03-10_final
2022-04-03 10:29:58	ga_ls7e_ard_3-2-1_115076_2022-04-03_final
2022-04-04 07:56:34	ga_ls7e_ard_3-2-1_090079_2022-04-03_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