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:

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First 100 results (query limit)

Time (local)	Label
2001-10-24 09:28:18	ga_ls7e_ard_3-1-0_093087_2001-10-23_final
2002-04-02 09:28:47	ga_ls7e_ard_3-1-0_093087_2002-04-01_final
2002-09-25 09:27:48	ga_ls7e_ard_3-1-0_093087_2002-09-24_final
2003-10-14 09:28:10	ga_ls7e_ard_3-1-0_093087_2003-10-13_final
2005-06-26 10:30:38	ga_ls7e_ard_3-1-0_104070_2005-06-26_final
2005-08-29 10:34:03	ga_ls7e_ard_3-1-0_104079_2005-08-29_final
2005-09-17 09:29:06	ga_ls7e_ard_3-1-0_093087_2005-09-16_final
2006-08-19 09:30:05	ga_ls7e_ard_3-1-0_093088_2006-08-19_final
2007-01-10 09:29:51	ga_ls7e_ard_3-1-0_093086_2007-01-09_final
2007-10-09 09:30:08	ga_ls7e_ard_3-1-0_093088_2007-10-09_final
2008-03-01 09:29:26	ga_ls7e_ard_3-1-0_093085_2008-02-29_final
2008-08-05 10:30:27	ga_ls7e_ard_3-1-0_104070_2008-08-05_final
2009-05-04 10:31:38	ga_ls7e_ard_3-1-0_104070_2009-05-04_final
2010-03-23 09:30:36	ga_ls7e_ard_3-1-0_093083_2010-03-23_final
2011-04-24 10:38:25	ga_ls7e_ard_3-1-0_104079_2011-04-24_final
2011-04-27 09:30:03	ga_ls7e_ard_3-1-0_093078_2011-04-27_final
2011-06-14 09:32:01	ga_ls7e_ard_3-1-0_093083_2011-06-14_final
2012-07-15 10:39:36	ga_ls7e_ard_3-1-0_104079_2012-07-15_final
2013-08-03 10:36:29	ga_ls7e_ard_3-1-0_104070_2013-08-03_final
2015-08-28 09:38:17	ga_ls7e_ard_3-1-0_093083_2015-08-28_final
2015-09-29 09:38:24	ga_ls7e_ard_3-1-0_093083_2015-09-29_final
2016-09-12 10:43:56	ga_ls7e_ard_3-1-0_104070_2016-09-12_final
2017-06-16 11:02:47	ga_ls7e_ard_3-1-0_107071_2017-06-16_final
2017-09-15 10:47:24	ga_ls7e_ard_3-1-0_104079_2017-09-15_final
2018-02-06 10:42:50	ga_ls7e_ard_3-1-0_104070_2018-02-06_final
2018-02-22 10:42:41	ga_ls7e_ard_3-1-0_104070_2018-02-22_final
2018-02-25 09:39:51	ga_ls7e_ard_3-1-0_093083_2018-02-25_final
2018-03-26 10:42:17	ga_ls7e_ard_3-1-0_104070_2018-03-26_final
2018-03-29 09:41:03	ga_ls7e_ard_3-1-0_093087_2018-03-29_final
2019-02-28 09:33:28	ga_ls7e_ard_3-1-0_093087_2019-02-28_final
2019-03-02 10:54:20	ga_ls7e_ard_3-1-0_107073_2019-03-02_final
2019-03-16 09:30:33	ga_ls7e_ard_3-1-0_093081_2019-03-16_final
2019-03-18 10:55:25	ga_ls7e_ard_3-1-0_107077_2019-03-18_final
2019-03-29 10:35:18	ga_ls7e_ard_3-1-0_104074_2019-03-29_final
2019-09-05 10:29:09	ga_ls7e_ard_3-1-0_104074_2019-09-05_final
2019-09-10 10:48:16	ga_ls7e_ard_3-1-0_107076_2019-09-10_final
2019-09-18 09:57:40	ga_ls7e_ard_3-1-0_099074_2019-09-18_final
2019-10-04 09:56:12	ga_ls7e_ard_3-1-0_099072_2019-10-04_final
2019-10-04 09:57:47	ga_ls7e_ard_3-1-0_099076_2019-10-04_final
2019-10-04 09:58:11	ga_ls7e_ard_3-1-0_099077_2019-10-04_final
2019-10-04 09:58:59	ga_ls7e_ard_3-1-0_099079_2019-10-04_final
2019-10-07 10:25:47	ga_ls7e_ard_3-1-0_104069_2019-10-07_final
2019-10-07 10:28:58	ga_ls7e_ard_3-1-0_104077_2019-10-07_final
2019-10-10 09:23:39	ga_ls7e_ard_3-1-0_093084_2019-10-09_final
2019-10-10 09:24:03	ga_ls7e_ard_3-1-0_093085_2019-10-09_final
2019-10-20 09:56:43	ga_ls7e_ard_3-1-0_099075_2019-10-20_final
2019-10-20 10:00:19	ga_ls7e_ard_3-1-0_099084_2019-10-20_final
2019-10-26 09:20:35	ga_ls7e_ard_3-1-0_093078_2019-10-25_final
2019-10-26 09:22:58	ga_ls7e_ard_3-1-0_093084_2019-10-25_final
2019-10-26 09:23:46	ga_ls7e_ard_3-1-0_093086_2019-10-25_final
2019-11-08 10:26:23	ga_ls7e_ard_3-1-0_104074_2019-11-08_final
2019-11-11 09:19:28	ga_ls7e_ard_3-1-0_093077_2019-11-10_final
2019-11-21 09:55:17	ga_ls7e_ard_3-1-0_099075_2019-11-21_final
2019-11-21 09:58:28	ga_ls7e_ard_3-1-0_099083_2019-11-21_final
2019-12-07 09:54:06	ga_ls7e_ard_3-1-0_099074_2019-12-07_final
2019-12-23 09:54:29	ga_ls7e_ard_3-1-0_099077_2019-12-23_final
2019-12-31 10:43:31	ga_ls7e_ard_3-1-0_107077_2019-12-31_final
2019-12-31 10:44:42	ga_ls7e_ard_3-1-0_107080_2019-12-31_final
2019-12-31 10:45:54	ga_ls7e_ard_3-1-0_107083_2019-12-31_final
2020-01-11 10:22:48	ga_ls7e_ard_3-1-0_104073_2020-01-11_final
2020-01-11 10:24:24	ga_ls7e_ard_3-1-0_104077_2020-01-11_final
2020-01-14 09:15:05	ga_ls7e_ard_3-1-0_093074_2020-01-13_final
2020-01-14 09:19:52	ga_ls7e_ard_3-1-0_093086_2020-01-13_final
2020-01-27 10:22:01	ga_ls7e_ard_3-1-0_104073_2020-01-27_final
2020-01-30 09:15:53	ga_ls7e_ard_3-1-0_093078_2020-01-29_final
2020-02-25 09:50:49	ga_ls7e_ard_3-1-0_099076_2020-02-25_final
2020-02-28 10:21:58	ga_ls7e_ard_3-1-0_104077_2020-02-28_final
2020-03-02 09:12:37	ga_ls7e_ard_3-1-0_093074_2020-03-01_final
2020-03-04 10:41:26	ga_ls7e_ard_3-1-0_107080_2020-03-04_final
2020-03-18 09:14:09	ga_ls7e_ard_3-1-0_093080_2020-03-17_final
2020-03-18 09:14:33	ga_ls7e_ard_3-1-0_093081_2020-03-17_final
2020-03-28 09:50:16	ga_ls7e_ard_3-1-0_099079_2020-03-28_final
2020-03-28 09:51:04	ga_ls7e_ard_3-1-0_099081_2020-03-28_final
2020-04-13 09:47:45	ga_ls7e_ard_3-1-0_099075_2020-04-13_final
2020-04-13 09:50:09	ga_ls7e_ard_3-1-0_099081_2020-04-13_final
2020-04-13 09:51:21	ga_ls7e_ard_3-1-0_099084_2020-04-13_final
2020-04-19 09:11:08	ga_ls7e_ard_3-1-0_093077_2020-04-18_final
2020-04-21 10:37:08	ga_ls7e_ard_3-1-0_107076_2020-04-21_final
2022-03-13 08:37:46	ga_ls7e_ard_3-2-1_096084_2022-03-12_final
2022-03-15 10:00:06	ga_ls7e_ard_3-2-1_110074_2022-03-15_final
2022-03-15 10:00:30	ga_ls7e_ard_3-2-1_110075_2022-03-15_final
2022-03-15 10:01:18	ga_ls7e_ard_3-2-1_110077_2022-03-15_final
2022-03-20 10:20:56	ga_ls7e_ard_3-2-1_113081_2022-03-20_final
2022-03-22 10:06:48	ga_ls7e_ard_3-2-1_111077_2022-03-22_final
2022-03-24 08:15:22	ga_ls7e_ard_3-2-1_093077_2022-03-23_final
2022-03-24 08:18:10	ga_ls7e_ard_3-2-1_093084_2022-03-23_final
2022-03-24 09:54:39	ga_ls7e_ard_3-2-1_109078_2022-03-24_final
2022-03-26 09:39:42	ga_ls7e_ard_3-2-1_107072_2022-03-26_final
2022-03-27 10:26:28	ga_ls7e_ard_3-2-1_114081_2022-03-27_final
2022-03-28 09:27:09	ga_ls7e_ard_3-2-1_105072_2022-03-27_final
2022-03-28 09:28:21	ga_ls7e_ard_3-2-1_105075_2022-03-27_final
2022-03-29 08:31:03	ga_ls7e_ard_3-2-1_096071_2022-03-28_final
2022-03-31 08:24:05	ga_ls7e_ard_3-2-1_094085_2022-03-30_final
2022-04-01 09:05:15	ga_ls7e_ard_3-2-1_101080_2022-03-31_final
2022-04-01 09:05:39	ga_ls7e_ard_3-2-1_101081_2022-03-31_final
2022-04-02 08:07:32	ga_ls7e_ard_3-2-1_092075_2022-04-01_final
2022-04-02 08:08:44	ga_ls7e_ard_3-2-1_092078_2022-04-01_final
2022-04-02 09:49:12	ga_ls7e_ard_3-2-1_108082_2022-04-02_final
2022-04-04 09:31:03	ga_ls7e_ard_3-2-1_106068_2022-04-04_final
2022-04-04 09:34:39	ga_ls7e_ard_3-2-1_106077_2022-04-04_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