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
1999-08-30 09:42:57	ga_ls7e_ard_3-0-0_095081_1999-08-30_final
2002-02-11 09:40:06	ga_ls7e_ard_3-0-0_095084_2002-02-11_final
2002-11-26 09:37:47	ga_ls7e_ard_3-0-0_095080_2002-11-26_final
2003-10-12 09:38:53	ga_ls7e_ard_3-0-0_095083_2003-10-12_final
2004-09-12 09:39:51	ga_ls7e_ard_3-0-0_095084_2004-09-12_final
2005-01-18 09:40:36	ga_ls7e_ard_3-0-0_095084_2005-01-18_final
2007-07-19 09:40:35	ga_ls7e_ard_3-0-0_095082_2007-07-19_final
2007-08-20 09:40:48	ga_ls7e_ard_3-0-0_095083_2007-08-20_final
2007-09-05 09:40:40	ga_ls7e_ard_3-0-0_095083_2007-09-05_final
2008-05-02 09:41:39	ga_ls7e_ard_3-0-0_095085_2008-05-02_final
2011-03-08 09:44:45	ga_ls7e_ard_3-0-0_095084_2011-03-08_final
2014-02-28 09:48:42	ga_ls7e_ard_3-0-0_095086_2014-02-28_final
2014-11-27 09:47:55	ga_ls7e_ard_3-0-0_095080_2014-11-27_final
2015-08-10 09:51:25	ga_ls7e_ard_3-0-0_095085_2015-08-10_final
2015-09-27 09:49:58	ga_ls7e_ard_3-0-0_095081_2015-09-27_final
2016-06-09 09:52:56	ga_ls7e_ard_3-0-0_095082_2016-06-09_final
2017-07-30 09:51:50	ga_ls7e_ard_3-1-0_095079_2017-07-30_final
2017-09-16 09:53:22	ga_ls7e_ard_3-0-0_095083_2017-09-16_final
2018-02-07 09:51:35	ga_ls7e_ard_3-0-0_095081_2018-02-07_final
2019-01-09 09:46:11	ga_ls7e_ard_3-0-0_095084_2019-01-09_final
2019-02-10 09:43:35	ga_ls7e_ard_3-0-0_095080_2019-02-10_final
2019-12-27 09:32:45	ga_ls7e_ard_3-1-0_095085_2019-12-27_final
2020-09-08 09:17:35	ga_ls7e_ard_3-1-0_095084_2020-09-07_final
2021-01-30 10:45:42	ga_ls7e_ard_3-2-0_111082_2021-01-30_final
2021-02-14 09:59:44	ga_ls7e_ard_3-2-0_104078_2021-02-14_final
2021-02-24 08:56:46	ga_ls7e_ard_3-2-0_094077_2021-02-23_final
2021-03-05 10:29:10	ga_ls7e_ard_3-2-0_109078_2021-03-05_final
2021-03-07 10:16:15	ga_ls7e_ard_3-2-0_107077_2021-03-07_final
2021-03-09 10:04:56	ga_ls7e_ard_3-2-0_105080_2021-03-09_final
2021-03-10 09:08:50	ga_ls7e_ard_3-2-0_096079_2021-03-09_final
2021-03-29 09:35:25	ga_ls7e_ard_3-2-0_101072_2021-03-29_final
2021-04-17 08:31:27	ga_ls7e_ard_3-2-0_090086_2021-04-16_final
2021-04-23 09:30:21	ga_ls7e_ard_3-2-0_100080_2021-04-23_final
2021-04-24 10:12:43	ga_ls7e_ard_3-2-0_107078_2021-04-24_final
2021-04-27 09:04:53	ga_ls7e_ard_3-2-0_096079_2021-04-26_final
2021-04-27 10:45:22	ga_ls7e_ard_3-2-0_112083_2021-04-27_final
2021-04-29 08:51:34	ga_ls7e_ard_3-2-0_094077_2021-04-28_final
2021-05-03 08:28:54	ga_ls7e_ard_3-2-0_090083_2021-05-02_final
2021-05-05 09:51:16	ga_ls7e_ard_3-2-0_104073_2021-05-05_final
2021-05-11 09:16:05	ga_ls7e_ard_3-2-0_098079_2021-05-10_final
2021-05-17 10:16:59	ga_ls7e_ard_3-2-0_108078_2021-05-17_final
2021-05-17 10:18:34	ga_ls7e_ard_3-2-0_108082_2021-05-17_final
2021-05-19 10:04:03	ga_ls7e_ard_3-2-0_106077_2021-05-19_final
2021-05-26 10:08:02	ga_ls7e_ard_3-2-0_107073_2021-05-26_final
2021-05-28 09:58:17	ga_ls7e_ard_3-2-0_105080_2021-05-28_final
2021-06-02 10:12:48	ga_ls7e_ard_3-2-0_108071_2021-06-02_final
2021-06-07 10:33:44	ga_ls7e_ard_3-2-0_111078_2021-06-07_final
2021-06-13 08:19:41	ga_ls7e_ard_3-2-0_089084_2021-06-12_final
2021-06-17 09:30:44	ga_ls7e_ard_3-2-0_101077_2021-06-17_final
2021-06-18 08:37:01	ga_ls7e_ard_3-2-0_092082_2021-06-17_final
2021-06-22 09:46:04	ga_ls7e_ard_3-2-0_104070_2021-06-22_final
2021-06-29 09:51:40	ga_ls7e_ard_3-2-0_105070_2021-06-29_final
2021-06-30 08:58:45	ga_ls7e_ard_3-2-0_096077_2021-06-29_final
2021-07-14 09:07:56	ga_ls7e_ard_3-2-0_098072_2021-07-13_final
2021-08-01 10:34:53	ga_ls7e_ard_3-2-0_112077_2021-08-01_final
2021-08-06 10:51:47	ga_ls7e_ard_3-2-0_115074_2021-08-06_final
2021-08-17 08:54:11	ga_ls7e_ard_3-2-0_096076_2021-08-16_final
2021-08-18 09:38:09	ga_ls7e_ard_3-2-0_103078_2021-08-18_final
2021-08-29 09:17:04	ga_ls7e_ard_3-2-0_100074_2021-08-28_final
2021-09-01 09:46:31	ga_ls7e_ard_3-2-0_105071_2021-09-01_final
2021-09-06 08:30:32	ga_ls7e_ard_3-2-0_092083_2021-09-05_final
2021-09-20 08:43:14	ga_ls7e_ard_3-2-0_094087_2021-09-19_final
2021-09-20 10:19:43	ga_ls7e_ard_3-2-0_110081_2021-09-20_final
2021-09-22 08:26:43	ga_ls7e_ard_3-2-0_092077_2021-09-21_final
2021-10-11 08:57:31	ga_ls7e_ard_3-2-0_097081_2021-10-10_final
2021-10-12 09:39:06	ga_ls7e_ard_3-2-0_104077_2021-10-12_final
2021-10-20 08:47:45	ga_ls7e_ard_3-2-0_096074_2021-10-19_final
2021-10-24 10:03:32	ga_ls7e_ard_3-2-0_108079_2021-10-24_final
2021-10-28 09:34:27	ga_ls7e_ard_3-2-0_104069_2021-10-28_final
2021-11-08 09:16:29	ga_ls7e_ard_3-2-0_101073_2021-11-07_final
2021-11-16 08:30:15	ga_ls7e_ard_3-2-1_093083_2021-11-15_final
2021-11-18 08:17:42	ga_ls7e_ard_3-2-1_091083_2021-11-17_final
2021-11-26 09:05:34	ga_ls7e_ard_3-2-1_099081_2021-11-25_final
2021-11-26 10:42:51	ga_ls7e_ard_3-2-1_115077_2021-11-26_final
2021-11-30 10:17:21	ga_ls7e_ard_3-2-1_111076_2021-11-30_final
2022-01-03 08:26:48	ga_ls7e_ard_3-2-1_093086_2022-01-02_final
2022-01-06 08:52:13	ga_ls7e_ard_3-2-1_098073_2022-01-05_final
2022-01-06 08:53:25	ga_ls7e_ard_3-2-1_098076_2022-01-05_final
2022-01-10 08:31:31	ga_ls7e_ard_3-2-1_094084_2022-01-09_final
2022-01-15 10:27:40	ga_ls7e_ard_3-2-1_113082_2022-01-15_final
2022-01-22 08:51:54	ga_ls7e_ard_3-2-1_098076_2022-01-21_final
2022-01-22 10:31:35	ga_ls7e_ard_3-2-1_114078_2022-01-22_final
2022-01-23 09:33:52	ga_ls7e_ard_3-2-1_105073_2022-01-23_final
2022-01-26 08:30:23	ga_ls7e_ard_3-2-1_094085_2022-01-25_final
2022-01-28 08:14:38	ga_ls7e_ard_3-2-1_092077_2022-01-27_final
2022-01-28 09:56:18	ga_ls7e_ard_3-2-1_108084_2022-01-28_final
2022-01-31 10:25:42	ga_ls7e_ard_3-2-1_113081_2022-01-31_final
2022-02-06 08:09:09	ga_ls7e_ard_3-2-1_091081_2022-02-05_final
2022-02-06 09:46:49	ga_ls7e_ard_3-2-1_107078_2022-02-06_final
2022-02-18 10:10:43	ga_ls7e_ard_3-2-1_111079_2022-02-18_final
2022-02-21 09:02:27	ga_ls7e_ard_3-2-1_100079_2022-02-20_final
2022-02-23 08:49:06	ga_ls7e_ard_3-2-1_098077_2022-02-22_final
2022-02-24 09:32:16	ga_ls7e_ard_3-2-1_105077_2022-02-24_final
2022-02-25 08:38:09	ga_ls7e_ard_3-2-1_096081_2022-02-24_final
2022-02-28 09:07:10	ga_ls7e_ard_3-2-1_101077_2022-02-27_final
2022-03-05 09:22:50	ga_ls7e_ard_3-2-1_104071_2022-03-04_final
2022-03-08 08:16:09	ga_ls7e_ard_3-2-1_093075_2022-03-07_final
2022-03-13 10:13:28	ga_ls7e_ard_3-2-1_112076_2022-03-13_final
2022-03-17 09:46:20	ga_ls7e_ard_3-2-1_108071_2022-03-17_final
2022-03-24 09:56:15	ga_ls7e_ard_3-2-1_109082_2022-03-24_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