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
2001-05-27 11:42:12	ga_ls7e_ard_3-0-0_115078_2001-05-27_final
2003-03-18 09:35:07	ga_ls7e_ard_3-0-0_095072_2003-03-18_final
2003-08-25 09:34:47	ga_ls7e_ard_3-0-0_095072_2003-08-25_final
2003-11-13 09:38:08	ga_ls7e_ard_3-0-0_095080_2003-11-13_final
2003-11-29 09:35:28	ga_ls7e_ard_3-1-0_095073_2003-11-29_final
2004-10-10 11:41:18	ga_ls7e_ard_3-0-0_115079_2004-10-10_final
2006-01-05 09:36:35	ga_ls7e_ard_3-1-0_095073_2006-01-05_final
2007-03-13 09:42:55	ga_ls7e_ard_3-0-0_095087_2007-03-13_final
2008-05-18 09:36:23	ga_ls7e_ard_3-0-0_095072_2008-05-18_final
2008-07-17 11:41:23	ga_ls7e_ard_3-1-0_115077_2008-07-17_final
2008-08-05 08:55:57	ga_ls7e_ard_3-0-0_088081_2008-08-04_final
2008-08-22 09:41:30	ga_ls7e_ard_3-0-0_095087_2008-08-22_final
2008-09-07 09:41:22	ga_ls7e_ard_3-0-0_095087_2008-09-07_final
2009-10-28 09:40:45	ga_ls7e_ard_3-0-0_095082_2009-10-28_final
2010-03-05 09:38:52	ga_ls7e_ard_3-1-0_095073_2010-03-05_final
2010-11-12 11:45:05	ga_ls7e_ard_3-0-0_115078_2010-11-12_final
2011-01-03 09:45:11	ga_ls7e_ard_3-0-0_095086_2011-01-03_final
2011-01-15 11:45:42	ga_ls7e_ard_3-0-0_115078_2011-01-15_final
2011-02-04 09:45:00	ga_ls7e_ard_3-0-0_095085_2011-02-04_final
2011-06-27 09:00:39	ga_ls7e_ard_3-0-0_088082_2011-06-26_final
2011-07-29 09:00:36	ga_ls7e_ard_3-0-0_088082_2011-07-28_final
2011-11-03 09:44:34	ga_ls7e_ard_3-0-0_095084_2011-11-03_final
2012-09-01 09:02:26	ga_ls7e_ard_3-0-0_088082_2012-08-31_final
2012-11-17 11:48:22	ga_ls7e_ard_3-0-0_115078_2012-11-17_final
2014-11-27 09:44:43	ga_ls7e_ard_3-0-0_095072_2014-11-27_final
2015-01-30 09:45:28	ga_ls7e_ard_3-1-0_095073_2015-01-30_final
2016-07-07 11:54:34	ga_ls7e_ard_3-1-0_115077_2016-07-07_final
2016-12-02 09:54:54	ga_ls7e_ard_3-0-0_095087_2016-12-02_final
2017-05-11 09:48:53	ga_ls7e_ard_3-0-0_095072_2017-05-11_final
2017-11-03 09:55:01	ga_ls7e_ard_3-0-0_095087_2017-11-03_final
2018-01-06 09:54:29	ga_ls7e_ard_3-0-0_095087_2018-01-06_final
2018-03-23 11:53:54	ga_ls7e_ard_3-0-0_115079_2018-03-23_final
2018-04-24 11:52:59	ga_ls7e_ard_3-0-0_115078_2018-04-24_final
2018-05-14 09:52:14	ga_ls7e_ard_3-0-0_095086_2018-05-14_final
2018-09-19 09:49:49	ga_ls7e_ard_3-0-0_095086_2018-09-19_final
2018-10-17 11:49:57	ga_ls7e_ard_3-0-0_115079_2018-10-17_final
2019-03-14 09:39:23	ga_ls7e_ard_3-1-0_095072_2019-03-14_final
2020-02-13 09:25:08	ga_ls7e_ard_3-1-0_095072_2020-02-12_final
2020-06-04 09:19:07	ga_ls7e_ard_3-1-0_095073_2020-06-03_final
2020-11-27 09:13:03	ga_ls7e_ard_3-1-0_095086_2020-11-26_final
2021-02-11 11:07:56	ga_ls7e_ard_3-2-0_115078_2021-02-11_final
2021-02-17 08:54:43	ga_ls7e_ard_3-2-0_093086_2021-02-16_final
2021-02-17 10:27:13	ga_ls7e_ard_3-2-0_109070_2021-02-17_final
2021-02-24 10:33:39	ga_ls7e_ard_3-2-0_110072_2021-02-24_final
2021-03-05 10:27:11	ga_ls7e_ard_3-2-0_109073_2021-03-05_final
2021-03-13 09:36:19	ga_ls7e_ard_3-2-0_101071_2021-03-13_final
2021-03-23 10:14:35	ga_ls7e_ard_3-2-0_107076_2021-03-23_final
2021-03-26 10:48:02	ga_ls7e_ard_3-2-0_112083_2021-03-26_final
2021-04-01 10:07:40	ga_ls7e_ard_3-2-0_106076_2021-04-01_final
2021-04-04 09:03:26	ga_ls7e_ard_3-2-0_095086_2021-04-03_final
2021-04-09 10:55:39	ga_ls7e_ard_3-2-0_114074_2021-04-09_final
2021-04-12 09:46:37	ga_ls7e_ard_3-2-0_103072_2021-04-12_final
2021-04-16 09:20:22	ga_ls7e_ard_3-2-0_099069_2021-04-15_final
2021-05-08 10:25:54	ga_ls7e_ard_3-2-0_109083_2021-05-08_final
2021-05-16 09:33:24	ga_ls7e_ard_3-2-0_101077_2021-05-16_final
2021-05-26 08:31:57	ga_ls7e_ard_3-2-0_091080_2021-05-25_final
2021-05-28 08:19:01	ga_ls7e_ard_3-2-0_089079_2021-05-27_final
2021-05-28 08:21:01	ga_ls7e_ard_3-2-0_089084_2021-05-27_final
2021-06-19 09:15:49	ga_ls7e_ard_3-2-0_099071_2021-06-18_final
2021-07-02 10:26:42	ga_ls7e_ard_3-2-0_110081_2021-07-02_final
2021-07-08 09:49:31	ga_ls7e_ard_3-2-0_104082_2021-07-08_final
2021-08-06 10:53:23	ga_ls7e_ard_3-2-0_115078_2021-08-06_final
2021-08-07 09:54:29	ga_ls7e_ard_3-2-0_106070_2021-08-07_final
2021-08-15 09:05:07	ga_ls7e_ard_3-2-0_098072_2021-08-14_final
2021-08-19 10:18:56	ga_ls7e_ard_3-2-0_110072_2021-08-19_final
2021-08-31 09:03:44	ga_ls7e_ard_3-2-0_098072_2021-08-30_final
2021-09-09 10:36:27	ga_ls7e_ard_3-2-0_113074_2021-09-09_final
2021-09-13 10:12:10	ga_ls7e_ard_3-2-0_109076_2021-09-13_final
2021-09-22 08:25:55	ga_ls7e_ard_3-2-0_092075_2021-09-21_final
2021-09-27 08:42:48	ga_ls7e_ard_3-2-0_095072_2021-09-26_final
2021-09-30 09:13:26	ga_ls7e_ard_3-2-0_100072_2021-09-29_final
2021-10-01 08:20:55	ga_ls7e_ard_3-2-0_091080_2021-09-30_final
2021-10-01 09:55:49	ga_ls7e_ard_3-2-0_107070_2021-10-01_final
2021-10-02 09:05:17	ga_ls7e_ard_3-2-0_098083_2021-10-01_final
2021-10-10 08:17:09	ga_ls7e_ard_3-2-0_090088_2021-10-09_final
2021-10-16 09:16:25	ga_ls7e_ard_3-2-0_100083_2021-10-15_final
2021-10-17 09:59:35	ga_ls7e_ard_3-2-0_107083_2021-10-17_final
2021-10-22 10:14:53	ga_ls7e_ard_3-2-0_110076_2021-10-22_final
2021-10-23 09:17:58	ga_ls7e_ard_3-2-0_101073_2021-10-22_final
2021-10-27 10:36:09	ga_ls7e_ard_3-2-0_113084_2021-10-27_final
2021-11-05 10:27:56	ga_ls7e_ard_3-2-0_112081_2021-11-05_final
2021-11-07 10:13:47	ga_ls7e_ard_3-2-0_110077_2021-11-07_final
2021-11-11 08:13:24	ga_ls7e_ard_3-2-0_090086_2021-11-10_final
2021-11-26 09:03:10	ga_ls7e_ard_3-2-1_099075_2021-11-25_final
2021-11-27 09:45:56	ga_ls7e_ard_3-2-1_106074_2021-11-27_final
2021-12-01 09:20:27	ga_ls7e_ard_3-2-1_102073_2021-11-30_final
2021-12-07 10:25:40	ga_ls7e_ard_3-2-1_112083_2021-12-07_final
2021-12-13 09:48:01	ga_ls7e_ard_3-2-1_106083_2021-12-13_final
2021-12-29 09:42:27	ga_ls7e_ard_3-2-1_106073_2021-12-29_final
2022-01-02 09:16:08	ga_ls7e_ard_3-2-1_102070_2022-01-01_final
2022-01-05 08:11:50	ga_ls7e_ard_3-2-1_091080_2022-01-04_final
2022-01-05 09:47:31	ga_ls7e_ard_3-2-1_107072_2022-01-05_final
2022-01-30 08:06:28	ga_ls7e_ard_3-2-1_090088_2022-01-29_final
2022-02-06 09:44:26	ga_ls7e_ard_3-2-1_107072_2022-02-06_final
2022-02-13 09:50:41	ga_ls7e_ard_3-2-1_108074_2022-02-13_final
2022-02-25 10:17:26	ga_ls7e_ard_3-2-1_112082_2022-02-25_final
2022-03-19 08:02:29	ga_ls7e_ard_3-2-1_090090_2022-03-18_final
2022-03-22 08:31:07	ga_ls7e_ard_3-2-1_095085_2022-03-21_final
2022-03-28 09:27:57	ga_ls7e_ard_3-2-1_105074_2022-03-27_final
2022-04-03 08:52:41	ga_ls7e_ard_3-2-1_099080_2022-04-02_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