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
2000-06-25 11:42:57	ga_ls7e_ard_3-0-0_115075_2000-06-25_final
2001-05-20 11:36:52	ga_ls7e_ard_3-0-0_114080_2001-05-20_final
2001-05-27 11:40:37	ga_ls7e_ard_3-0-0_115074_2001-05-27_final
2002-02-07 11:39:41	ga_ls7e_ard_3-0-0_115074_2002-02-07_final
2003-05-01 11:39:34	ga_ls7e_ard_3-0-0_115074_2003-05-01_final
2006-06-19 11:36:12	ga_ls7e_ard_3-0-0_114078_2006-06-19_final
2008-02-08 11:42:19	ga_ls7e_ard_3-1-0_115077_2008-02-08_final
2010-02-13 11:43:54	ga_ls7e_ard_3-1-0_115077_2010-02-13_final
2010-08-01 11:39:38	ga_ls7e_ard_3-0-0_114081_2010-08-01_final
2011-04-14 11:40:14	ga_ls7e_ard_3-0-0_114079_2011-04-14_final
2011-06-01 11:40:13	ga_ls7e_ard_3-0-0_114079_2011-06-01_final
2011-07-19 11:40:32	ga_ls7e_ard_3-0-0_114080_2011-07-19_final
2011-08-04 11:40:28	ga_ls7e_ard_3-0-0_114080_2011-08-04_final
2012-05-25 11:46:35	ga_ls7e_ard_3-1-0_115077_2012-05-25_final
2012-06-03 11:40:36	ga_ls7e_ard_3-0-0_114078_2012-06-03_final
2012-09-23 11:42:08	ga_ls7e_ard_3-0-0_114079_2012-09-23_final
2013-05-05 11:42:31	ga_ls7e_ard_3-0-0_114079_2013-05-05_final
2016-08-01 11:49:14	ga_ls7e_ard_3-0-0_114079_2016-08-01_final
2017-01-08 11:48:51	ga_ls7e_ard_3-0-0_114079_2017-01-08_final
2017-06-01 11:49:58	ga_ls7e_ard_3-0-0_114081_2017-06-01_final
2017-06-17 11:50:02	ga_ls7e_ard_3-0-0_114081_2017-06-17_final
2017-11-24 11:49:34	ga_ls7e_ard_3-0-0_114080_2017-11-24_final
2020-03-21 11:23:46	ga_ls7e_ard_3-1-0_114080_2020-03-21_final
2020-07-27 11:16:33	ga_ls7e_ard_3-1-0_114081_2020-07-27_final
2020-12-02 11:06:06	ga_ls7e_ard_3-1-0_114076_2020-12-02_final
2020-12-07 09:46:36	ga_ls7e_ard_3-1-0_101079_2020-12-07_final
2020-12-14 09:49:27	ga_ls7e_ard_3-1-0_102072_2020-12-14_final
2020-12-18 11:06:06	ga_ls7e_ard_3-1-0_114079_2020-12-18_final
2020-12-24 08:51:41	ga_ls7e_ard_3-1-0_092084_2020-12-23_final
2021-01-05 09:14:47	ga_ls7e_ard_3-1-0_096082_2021-01-04_final
2021-01-07 10:36:47	ga_ls7e_ard_3-1-0_110071_2021-01-07_final
2021-01-08 09:43:53	ga_ls7e_ard_3-1-0_101078_2021-01-08_final
2021-01-08 09:44:41	ga_ls7e_ard_3-1-0_101080_2021-01-08_final
2021-01-12 10:56:58	ga_ls7e_ard_3-1-0_113076_2021-01-12_final
2021-01-14 09:08:22	ga_ls7e_ard_3-1-0_095083_2021-01-13_final
2021-01-14 09:09:10	ga_ls7e_ard_3-1-0_095085_2021-01-13_final
2021-01-16 08:56:16	ga_ls7e_ard_3-1-0_093084_2021-01-15_final
2021-02-01 08:52:19	ga_ls7e_ard_3-2-0_093077_2021-01-31_final
2021-02-14 09:57:20	ga_ls7e_ard_3-2-0_104072_2021-02-14_final
2021-02-15 09:06:26	ga_ls7e_ard_3-2-0_095084_2021-02-14_final
2021-03-07 08:39:46	ga_ls7e_ard_3-2-0_091083_2021-03-06_final
2021-03-11 09:50:25	ga_ls7e_ard_3-2-0_103075_2021-03-11_final
2021-04-08 08:36:47	ga_ls7e_ard_3-2-0_091082_2021-04-07_final
2021-04-11 10:43:31	ga_ls7e_ard_3-2-0_112075_2021-04-11_final
2021-04-14 09:35:18	ga_ls7e_ard_3-2-0_101075_2021-04-14_final
2021-04-24 10:10:20	ga_ls7e_ard_3-2-0_107072_2021-04-24_final
2021-05-01 08:41:26	ga_ls7e_ard_3-2-0_092083_2021-04-30_final
2021-05-07 09:39:08	ga_ls7e_ard_3-2-0_102074_2021-05-07_final
2021-05-14 09:46:20	ga_ls7e_ard_3-2-0_103078_2021-05-14_final
2021-05-29 09:00:11	ga_ls7e_ard_3-2-0_096074_2021-05-28_final
2021-06-07 08:54:28	ga_ls7e_ard_3-2-0_095077_2021-06-06_final
2021-06-11 10:06:42	ga_ls7e_ard_3-2-0_107073_2021-06-11_final
2021-06-14 09:00:28	ga_ls7e_ard_3-2-0_096078_2021-06-13_final
2021-06-14 10:38:33	ga_ls7e_ard_3-2-0_112076_2021-06-14_final
2021-06-28 09:12:28	ga_ls7e_ard_3-2-0_098080_2021-06-27_final
2021-07-12 09:24:03	ga_ls7e_ard_3-2-0_100081_2021-07-11_final
2021-07-15 09:50:42	ga_ls7e_ard_3-2-0_105071_2021-07-15_final
2021-07-23 09:04:34	ga_ls7e_ard_3-2-0_097081_2021-07-22_final
2021-07-27 10:19:10	ga_ls7e_ard_3-2-0_109083_2021-07-27_final
2021-07-29 08:26:34	ga_ls7e_ard_3-2-0_091080_2021-07-28_final
2021-08-10 08:51:25	ga_ls7e_ard_3-2-0_095083_2021-08-09_final
2021-08-19 10:22:55	ga_ls7e_ard_3-2-0_110082_2021-08-19_final
2021-08-22 09:11:29	ga_ls7e_ard_3-2-0_099074_2021-08-21_final
2021-09-18 08:49:24	ga_ls7e_ard_3-2-0_096071_2021-09-17_final
2021-09-28 09:28:46	ga_ls7e_ard_3-2-0_102079_2021-09-27_final
2021-09-29 08:31:04	ga_ls7e_ard_3-2-0_093074_2021-09-28_final
2021-10-02 09:01:42	ga_ls7e_ard_3-2-0_098074_2021-10-01_final
2021-10-22 10:15:17	ga_ls7e_ard_3-2-0_110077_2021-10-22_final
2021-10-26 08:12:55	ga_ls7e_ard_3-2-0_090081_2021-10-25_final
2021-10-30 09:23:07	ga_ls7e_ard_3-2-0_102072_2021-10-29_final
2021-11-04 09:44:22	ga_ls7e_ard_3-2-0_105080_2021-11-04_final
2021-11-05 08:43:28	ga_ls7e_ard_3-2-0_096067_2021-11-04_final
2021-11-13 09:34:56	ga_ls7e_ard_3-2-1_104074_2021-11-13_final
2021-11-25 10:01:16	ga_ls7e_ard_3-2-1_108081_2021-11-25_final
2021-12-25 08:33:30	ga_ls7e_ard_3-2-1_094085_2021-12-24_final
2021-12-25 10:09:35	ga_ls7e_ard_3-2-1_110078_2021-12-25_final
2021-12-29 08:06:22	ga_ls7e_ard_3-2-1_090080_2021-12-28_final
2021-12-29 09:44:03	ga_ls7e_ard_3-2-1_106077_2021-12-29_final
2021-12-30 08:47:32	ga_ls7e_ard_3-2-1_097075_2021-12-29_final
2022-01-02 09:20:07	ga_ls7e_ard_3-2-1_102080_2022-01-01_final
2022-01-13 08:58:32	ga_ls7e_ard_3-2-1_099075_2022-01-12_final
2022-01-19 10:00:58	ga_ls7e_ard_3-2-1_109078_2022-01-19_final
2022-01-22 08:51:06	ga_ls7e_ard_3-2-1_098074_2022-01-21_final
2022-01-25 09:22:54	ga_ls7e_ard_3-2-1_103077_2022-01-24_final
2022-01-27 09:11:09	ga_ls7e_ard_3-2-1_101079_2022-01-26_final
2022-02-07 10:29:59	ga_ls7e_ard_3-2-1_114078_2022-02-07_final
2022-02-16 08:41:59	ga_ls7e_ard_3-2-1_097073_2022-02-15_final
2022-02-18 08:31:02	ga_ls7e_ard_3-2-1_095077_2022-02-17_final
2022-02-20 08:17:18	ga_ls7e_ard_3-2-1_093074_2022-02-19_final
2022-02-22 08:06:44	ga_ls7e_ard_3-2-1_091079_2022-02-21_final
2022-03-06 08:30:42	ga_ls7e_ard_3-2-1_095080_2022-03-05_final
2022-03-11 08:48:21	ga_ls7e_ard_3-2-1_098079_2022-03-10_final
2022-03-13 08:36:11	ga_ls7e_ard_3-2-1_096080_2022-03-12_final
2022-03-15 10:02:29	ga_ls7e_ard_3-2-1_110080_2022-03-15_final
2022-03-19 09:38:10	ga_ls7e_ard_3-2-1_106082_2022-03-19_final
2022-03-20 10:18:33	ga_ls7e_ard_3-2-1_113075_2022-03-20_final
2022-03-23 09:11:53	ga_ls7e_ard_3-2-1_102079_2022-03-22_final
2022-03-24 08:17:46	ga_ls7e_ard_3-2-1_093083_2022-03-23_final
2022-03-29 08:35:02	ga_ls7e_ard_3-2-1_096081_2022-03-28_final
2022-03-30 09:15:24	ga_ls7e_ard_3-2-1_103074_2022-03-29_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