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
2000-03-11 09:31:00	ga_ls7e_ard_3-1-0_093083_2000-03-11_final
2000-07-14 10:32:42	ga_ls7e_ard_3-1-0_104070_2000-07-14_final
2000-10-02 10:31:40	ga_ls7e_ard_3-1-0_104070_2000-10-02_final
2000-10-21 09:30:15	ga_ls7e_ard_3-1-0_093087_2000-10-21_final
2000-10-22 10:11:08	ga_ls7e_ard_3-1-0_100081_2000-10-22_final
2001-07-04 09:29:24	ga_ls7e_ard_3-1-0_093087_2001-07-03_final
2001-08-15 10:00:21	ga_ls7e_ard_3-1-0_099073_2001-08-15_final
2001-09-03 10:29:52	ga_ls7e_ard_3-1-0_104070_2001-09-03_final
2002-05-17 10:29:57	ga_ls7e_ard_3-1-0_104070_2002-05-17_final
2003-05-04 10:29:59	ga_ls7e_ard_3-1-0_104070_2003-05-04_final
2003-07-27 10:09:23	ga_ls7e_ard_3-1-0_100081_2003-07-27_final
2005-02-22 10:10:32	ga_ls7e_ard_3-1-0_100081_2005-02-22_final
2005-09-30 10:33:53	ga_ls7e_ard_3-1-0_104079_2005-09-30_final
2006-11-20 10:31:13	ga_ls7e_ard_3-1-0_104070_2006-11-20_final
2010-05-10 09:30:11	ga_ls7e_ard_3-1-0_093082_2010-05-10_final
2010-06-27 09:29:49	ga_ls7e_ard_3-1-0_093081_2010-06-26_final
2011-06-30 09:29:57	ga_ls7e_ard_3-1-0_093078_2011-06-29_final
2012-09-05 10:16:15	ga_ls7e_ard_3-1-0_100081_2012-09-05_final
2012-09-21 10:16:23	ga_ls7e_ard_3-1-0_100081_2012-09-21_final
2013-01-11 10:17:03	ga_ls7e_ard_3-1-0_100081_2013-01-11_final
2013-07-05 09:33:55	ga_ls7e_ard_3-1-0_093083_2013-07-05_final
2016-03-04 10:43:13	ga_ls7e_ard_3-1-0_104070_2016-03-04_final
2016-08-31 10:23:35	ga_ls7e_ard_3-1-0_100081_2016-08-31_final
2017-09-15 10:47:24	ga_ls7e_ard_3-1-0_104079_2017-09-15_final
2018-06-24 09:42:57	ga_ls7e_ard_3-1-0_094080_2018-06-24_final
2018-07-04 10:20:14	ga_ls7e_ard_3-1-0_100081_2018-07-04_final
2019-02-22 10:05:09	ga_ls7e_ard_3-1-0_099073_2019-02-22_final
2019-03-01 10:14:18	ga_ls7e_ard_3-1-0_100081_2019-03-01_final
2019-03-06 10:28:41	ga_ls7e_ard_3-1-0_103071_2019-03-06_final
2019-03-06 10:30:17	ga_ls7e_ard_3-1-0_103075_2019-03-06_final
2019-03-06 10:31:53	ga_ls7e_ard_3-1-0_103079_2019-03-06_final
2019-03-10 10:05:02	ga_ls7e_ard_3-1-0_099074_2019-03-10_final
2019-03-10 10:07:50	ga_ls7e_ard_3-1-0_099081_2019-03-10_final
2019-03-13 10:37:26	ga_ls7e_ard_3-1-0_104078_2019-03-13_final
2019-03-22 10:29:46	ga_ls7e_ard_3-1-0_103075_2019-03-22_final
2019-03-22 10:31:21	ga_ls7e_ard_3-1-0_103079_2019-03-22_final
2019-03-23 09:34:54	ga_ls7e_ard_3-1-0_094077_2019-03-23_final
2019-03-23 09:35:42	ga_ls7e_ard_3-1-0_094079_2019-03-23_final
2019-03-23 09:36:06	ga_ls7e_ard_3-1-0_094080_2019-03-23_final
2019-03-29 10:36:30	ga_ls7e_ard_3-1-0_104077_2019-03-29_final
2019-07-23 10:09:03	ga_ls7e_ard_3-1-0_100081_2019-07-23_final
2019-08-25 10:49:45	ga_ls7e_ard_3-1-0_107078_2019-08-25_final
2019-08-29 10:23:16	ga_ls7e_ard_3-1-0_103074_2019-08-29_final
2019-08-30 09:28:48	ga_ls7e_ard_3-1-0_094077_2019-08-29_final
2019-09-02 09:58:47	ga_ls7e_ard_3-1-0_099075_2019-09-02_final
2019-09-05 10:31:09	ga_ls7e_ard_3-1-0_104079_2019-09-05_final
2019-09-09 10:07:03	ga_ls7e_ard_3-1-0_100081_2019-09-09_final
2019-09-14 10:24:34	ga_ls7e_ard_3-1-0_103079_2019-09-14_final
2019-09-15 09:28:06	ga_ls7e_ard_3-1-0_094077_2019-09-14_final
2019-09-18 09:58:04	ga_ls7e_ard_3-1-0_099075_2019-09-18_final
2019-09-18 10:00:28	ga_ls7e_ard_3-1-0_099081_2019-09-18_final
2019-09-21 10:30:26	ga_ls7e_ard_3-1-0_104079_2019-09-21_final
2019-09-25 10:03:08	ga_ls7e_ard_3-1-0_100073_2019-09-25_final
2019-10-04 09:57:00	ga_ls7e_ard_3-1-0_099074_2019-10-04_final
2019-10-07 10:28:10	ga_ls7e_ard_3-1-0_104075_2019-10-07_final
2019-11-01 10:20:55	ga_ls7e_ard_3-1-0_103075_2019-11-01_final
2019-11-02 09:26:51	ga_ls7e_ard_3-1-0_094079_2019-11-01_final
2019-11-08 10:27:59	ga_ls7e_ard_3-1-0_104078_2019-11-08_final
2019-11-11 09:19:28	ga_ls7e_ard_3-1-0_093077_2019-11-10_final
2019-11-13 10:47:53	ga_ls7e_ard_3-1-0_107082_2019-11-13_final
2019-11-17 10:20:11	ga_ls7e_ard_3-1-0_103075_2019-11-17_final
2019-11-24 10:24:50	ga_ls7e_ard_3-1-0_104072_2019-11-24_final
2019-12-07 09:53:42	ga_ls7e_ard_3-1-0_099073_2019-12-07_final
2020-01-05 09:23:42	ga_ls7e_ard_3-1-0_094079_2020-01-04_final
2020-01-15 10:00:17	ga_ls7e_ard_3-1-0_100079_2020-01-15_final
2020-01-21 09:22:55	ga_ls7e_ard_3-1-0_094079_2020-01-20_final
2020-02-01 10:42:18	ga_ls7e_ard_3-1-0_107078_2020-02-01_final
2020-02-12 10:24:00	ga_ls7e_ard_3-1-0_104080_2020-02-12_final
2020-02-15 09:15:04	ga_ls7e_ard_3-1-0_093078_2020-02-14_final
2020-02-15 09:15:52	ga_ls7e_ard_3-1-0_093080_2020-02-14_final
2020-02-21 10:15:21	ga_ls7e_ard_3-1-0_103075_2020-02-21_final
2020-02-28 10:23:09	ga_ls7e_ard_3-1-0_104080_2020-02-28_final
2020-02-28 10:23:33	ga_ls7e_ard_3-1-0_104081_2020-02-28_final
2020-03-18 09:13:45	ga_ls7e_ard_3-1-0_093079_2020-03-17_final
2020-03-24 10:13:37	ga_ls7e_ard_3-1-0_103075_2020-03-24_final
2020-03-28 09:49:04	ga_ls7e_ard_3-1-0_099076_2020-03-28_final
2020-04-16 10:19:17	ga_ls7e_ard_3-1-0_104077_2020-04-16_final
2020-04-16 10:20:29	ga_ls7e_ard_3-1-0_104080_2020-04-16_final
2020-04-19 09:11:31	ga_ls7e_ard_3-1-0_093078_2020-04-18_final
2020-04-19 09:12:43	ga_ls7e_ard_3-1-0_093081_2020-04-18_final
2020-04-21 10:35:56	ga_ls7e_ard_3-1-0_107073_2020-04-21_final
2020-04-25 10:10:11	ga_ls7e_ard_3-1-0_103071_2020-04-25_final
2022-03-13 08:34:59	ga_ls7e_ard_3-2-1_096077_2022-03-12_final
2022-03-13 10:15:03	ga_ls7e_ard_3-2-1_112080_2022-03-13_final
2022-03-15 10:02:29	ga_ls7e_ard_3-2-1_110080_2022-03-15_final
2022-03-17 08:11:27	ga_ls7e_ard_3-2-1_092081_2022-03-16_final
2022-03-19 09:36:58	ga_ls7e_ard_3-2-1_106079_2022-03-19_final
2022-03-19 09:38:10	ga_ls7e_ard_3-2-1_106082_2022-03-19_final
2022-03-20 10:19:20	ga_ls7e_ard_3-2-1_113077_2022-03-20_final
2022-03-20 10:20:08	ga_ls7e_ard_3-2-1_113079_2022-03-20_final
2022-03-21 09:22:50	ga_ls7e_ard_3-2-1_104075_2022-03-20_final
2022-03-22 08:28:43	ga_ls7e_ard_3-2-1_095079_2022-03-21_final
2022-03-22 10:06:24	ga_ls7e_ard_3-2-1_111076_2022-03-22_final
2022-03-22 10:07:36	ga_ls7e_ard_3-2-1_111079_2022-03-22_final
2022-03-25 08:57:44	ga_ls7e_ard_3-2-1_100075_2022-03-24_final
2022-03-26 08:05:37	ga_ls7e_ard_3-2-1_091084_2022-03-25_final
2022-03-29 10:12:19	ga_ls7e_ard_3-2-1_112077_2022-03-29_final
2022-04-01 09:03:15	ga_ls7e_ard_3-2-1_101075_2022-03-31_final
2022-04-02 08:10:44	ga_ls7e_ard_3-2-1_092083_2022-04-01_final
2022-04-03 08:51:05	ga_ls7e_ard_3-2-1_099076_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