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
2000-06-13 09:44:15	ga_ls7e_ard_3-0-0_095087_2000-06-13_final
2000-06-28 08:58:48	ga_ls7e_ard_3-0-0_088082_2000-06-27_final
2001-09-20 09:35:15	ga_ls7e_ard_3-1-0_095073_2001-09-20_final
2003-12-31 09:35:42	ga_ls7e_ard_3-1-0_095073_2003-12-31_final
2004-04-21 09:41:06	ga_ls7e_ard_3-0-0_095086_2004-04-21_final
2005-02-19 09:34:02	ga_ls7e_ard_3-0-0_095067_2005-02-19_final
2005-06-11 09:41:04	ga_ls7e_ard_3-0-0_095085_2005-06-11_final
2006-08-16 08:56:48	ga_ls7e_ard_3-0-0_088082_2006-08-15_final
2007-12-26 09:42:44	ga_ls7e_ard_3-0-0_095087_2007-12-26_final
2008-06-03 09:34:16	ga_ls7e_ard_3-0-0_095067_2008-06-03_final
2008-06-03 09:41:51	ga_ls7e_ard_3-0-0_095086_2008-06-03_final
2008-07-21 09:33:44	ga_ls7e_ard_3-0-0_095067_2008-07-21_final
2012-01-06 09:38:26	ga_ls7e_ard_3-0-0_095067_2012-01-06_final
2012-05-12 09:01:49	ga_ls7e_ard_3-0-0_088082_2012-05-11_final
2012-10-03 09:02:45	ga_ls7e_ard_3-0-0_088082_2012-10-02_final
2013-06-01 09:40:09	ga_ls7e_ard_3-0-0_095067_2013-06-01_final
2013-09-21 09:48:05	ga_ls7e_ard_3-0-0_095087_2013-09-21_final
2013-12-09 09:03:29	ga_ls7e_ard_3-0-0_088082_2013-12-08_final
2014-12-13 09:42:51	ga_ls7e_ard_3-0-0_095067_2014-12-13_final
2015-04-04 09:43:31	ga_ls7e_ard_3-0-0_095067_2015-04-04_final
2015-05-22 09:43:52	ga_ls7e_ard_3-0-0_095067_2015-05-22_final
2015-07-25 09:52:09	ga_ls7e_ard_3-0-0_095087_2015-07-25_final
2017-01-03 09:49:05	ga_ls7e_ard_3-1-0_095073_2017-01-03_final
2017-01-19 09:54:29	ga_ls7e_ard_3-0-0_095087_2017-01-19_final
2017-02-04 09:54:23	ga_ls7e_ard_3-0-0_095087_2017-02-04_final
2017-03-08 09:48:56	ga_ls7e_ard_3-1-0_095073_2017-03-08_final
2017-07-14 09:54:39	ga_ls7e_ard_3-0-0_095086_2017-07-14_final
2018-01-06 09:54:29	ga_ls7e_ard_3-0-0_095087_2018-01-06_final
2020-01-12 09:26:44	ga_ls7e_ard_3-1-0_095072_2020-01-11_final
2020-04-01 09:28:31	ga_ls7e_ard_3-1-0_095087_2020-03-31_final
2020-05-19 09:24:28	ga_ls7e_ard_3-1-0_095084_2020-05-18_final
2021-01-29 09:57:20	ga_ls7e_ard_3-2-0_104069_2021-01-29_final
2021-02-08 08:56:23	ga_ls7e_ard_3-2-0_094073_2021-02-07_final
2021-02-20 09:18:12	ga_ls7e_ard_3-2-0_098068_2021-02-19_final
2021-02-22 09:06:53	ga_ls7e_ard_3-2-0_096071_2021-02-21_final
2021-03-01 10:55:24	ga_ls7e_ard_3-2-0_113081_2021-03-01_final
2021-03-13 09:41:06	ga_ls7e_ard_3-2-0_101083_2021-03-13_final
2021-03-15 09:24:12	ga_ls7e_ard_3-2-0_099072_2021-03-14_final
2021-04-16 09:24:22	ga_ls7e_ard_3-2-0_099079_2021-04-15_final
2021-04-28 09:44:28	ga_ls7e_ard_3-2-0_103070_2021-04-28_final
2021-05-04 10:50:34	ga_ls7e_ard_3-2-0_113082_2021-05-04_final
2021-05-07 09:37:09	ga_ls7e_ard_3-2-0_102069_2021-05-07_final
2021-05-10 08:35:18	ga_ls7e_ard_3-2-0_091085_2021-05-09_final
2021-05-17 10:13:47	ga_ls7e_ard_3-2-0_108070_2021-05-17_final
2021-05-28 08:21:48	ga_ls7e_ard_3-2-0_089086_2021-05-27_final
2021-06-05 10:48:39	ga_ls7e_ard_3-2-0_113084_2021-06-05_final
2021-06-10 09:27:07	ga_ls7e_ard_3-2-0_100082_2021-06-09_final
2021-06-12 10:50:41	ga_ls7e_ard_3-2-0_114075_2021-06-12_final
2021-06-13 08:16:54	ga_ls7e_ard_3-2-0_089077_2021-06-12_final
2021-06-13 08:20:05	ga_ls7e_ard_3-2-0_089085_2021-06-12_final
2021-06-13 09:54:59	ga_ls7e_ard_3-2-0_105075_2021-06-13_final
2021-06-17 09:32:43	ga_ls7e_ard_3-2-0_101082_2021-06-17_final
2021-06-25 10:19:06	ga_ls7e_ard_3-2-0_109076_2021-06-25_final
2021-06-28 09:14:04	ga_ls7e_ard_3-2-0_098084_2021-06-27_final
2021-07-02 08:42:14	ga_ls7e_ard_3-2-0_094067_2021-07-01_final
2021-07-16 09:00:59	ga_ls7e_ard_3-2-0_096086_2021-07-15_final
2021-07-16 10:38:16	ga_ls7e_ard_3-2-0_112082_2021-07-16_final
2021-07-27 10:18:22	ga_ls7e_ard_3-2-0_109081_2021-07-27_final
2021-08-20 09:25:13	ga_ls7e_ard_3-2-0_101077_2021-08-19_final
2021-09-07 09:08:55	ga_ls7e_ard_3-2-0_099071_2021-09-06_final
2021-09-16 10:44:24	ga_ls7e_ard_3-2-0_114080_2021-09-16_final
2021-09-21 09:24:25	ga_ls7e_ard_3-2-0_101082_2021-09-20_final
2021-09-24 08:17:46	ga_ls7e_ard_3-2-0_090086_2021-09-23_final
2021-09-28 09:26:22	ga_ls7e_ard_3-2-0_102073_2021-09-27_final
2021-10-10 08:15:57	ga_ls7e_ard_3-2-0_090085_2021-10-09_final
2021-10-17 08:21:06	ga_ls7e_ard_3-2-0_091084_2021-10-16_final
2021-10-19 09:43:51	ga_ls7e_ard_3-2-0_105075_2021-10-19_final
2021-10-26 09:47:24	ga_ls7e_ard_3-2-0_106070_2021-10-26_final
2021-10-27 08:55:17	ga_ls7e_ard_3-2-0_097079_2021-10-26_final
2021-11-03 09:03:12	ga_ls7e_ard_3-2-0_098085_2021-11-02_final
2021-11-09 08:26:21	ga_ls7e_ard_3-2-0_092087_2021-11-08_final
2021-11-10 09:06:43	ga_ls7e_ard_3-2-0_099080_2021-11-09_final
2021-11-26 10:41:39	ga_ls7e_ard_3-2-1_115074_2021-11-26_final
2021-12-03 09:07:54	ga_ls7e_ard_3-2-1_100073_2021-12-02_final
2021-12-12 10:41:44	ga_ls7e_ard_3-2-1_115078_2021-12-12_final
2021-12-13 09:48:01	ga_ls7e_ard_3-2-1_106083_2021-12-13_final
2021-12-18 08:24:48	ga_ls7e_ard_3-2-1_093077_2021-12-17_final
2021-12-20 08:11:51	ga_ls7e_ard_3-2-1_091076_2021-12-19_final
2021-12-22 08:01:42	ga_ls7e_ard_3-2-1_089082_2021-12-21_final
2022-01-03 08:22:24	ga_ls7e_ard_3-2-1_093075_2022-01-02_final
2022-01-06 10:31:29	ga_ls7e_ard_3-2-1_114074_2022-01-06_final
2022-01-07 09:36:11	ga_ls7e_ard_3-2-1_105075_2022-01-07_final
2022-01-09 09:20:50	ga_ls7e_ard_3-2-1_103068_2022-01-08_final
2022-01-16 09:26:46	ga_ls7e_ard_3-2-1_104069_2022-01-15_final
2022-01-21 08:12:20	ga_ls7e_ard_3-2-1_091085_2022-01-20_final
2022-01-22 08:52:18	ga_ls7e_ard_3-2-1_098077_2022-01-21_final
2022-01-24 08:37:21	ga_ls7e_ard_3-2-1_096071_2022-01-23_final
2022-01-28 08:18:37	ga_ls7e_ard_3-2-1_092087_2022-01-27_final
2022-01-31 10:22:55	ga_ls7e_ard_3-2-1_113074_2022-01-31_final
2022-02-02 10:14:21	ga_ls7e_ard_3-2-1_111084_2022-02-02_final
2022-02-07 08:51:30	ga_ls7e_ard_3-2-1_098079_2022-02-06_final
2022-02-07 10:28:23	ga_ls7e_ard_3-2-1_114074_2022-02-07_final
2022-02-07 10:30:47	ga_ls7e_ard_3-2-1_114080_2022-02-07_final
2022-02-09 10:15:49	ga_ls7e_ard_3-2-1_112074_2022-02-09_final
2022-02-22 09:47:13	ga_ls7e_ard_3-2-1_107083_2022-02-22_final
2022-02-24 09:31:28	ga_ls7e_ard_3-2-1_105075_2022-02-24_final
2022-02-27 08:22:49	ga_ls7e_ard_3-2-1_094074_2022-02-26_final
2022-03-03 09:37:23	ga_ls7e_ard_3-2-1_106076_2022-03-03_final
2022-03-07 09:09:28	ga_ls7e_ard_3-2-1_102069_2022-03-06_final
2022-03-19 09:38:34	ga_ls7e_ard_3-2-1_106083_2022-03-19_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