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
2000-01-01 11:45:36	ga_ls7e_ard_3-0-0_115079_2000-01-01_final
2003-08-09 09:34:48	ga_ls7e_ard_3-0-0_095072_2003-08-09_final
2005-03-07 09:41:17	ga_ls7e_ard_3-0-0_095085_2005-03-07_final
2005-06-11 09:41:52	ga_ls7e_ard_3-0-0_095087_2005-06-11_final
2005-11-02 09:39:45	ga_ls7e_ard_3-0-0_095082_2005-11-02_final
2006-03-26 09:41:41	ga_ls7e_ard_3-0-0_095085_2006-03-26_final
2006-10-19 08:56:16	ga_ls7e_ard_3-0-0_088081_2006-10-18_final
2007-03-13 09:42:07	ga_ls7e_ard_3-0-0_095085_2007-03-13_final
2007-05-16 09:42:21	ga_ls7e_ard_3-0-0_095086_2007-05-16_final
2007-10-22 08:56:36	ga_ls7e_ard_3-0-0_088081_2007-10-21_final
2007-10-22 08:57:00	ga_ls7e_ard_3-0-0_088082_2007-10-21_final
2009-02-26 11:42:49	ga_ls7e_ard_3-0-0_115079_2009-02-26_final
2009-11-09 11:43:20	ga_ls7e_ard_3-0-0_115079_2009-11-09_final
2009-11-12 08:57:18	ga_ls7e_ard_3-0-0_088081_2009-11-11_final
2010-01-16 09:43:31	ga_ls7e_ard_3-0-0_095086_2010-01-16_final
2010-02-01 09:39:21	ga_ls7e_ard_3-0-0_095075_2010-02-01_final
2010-11-12 11:45:29	ga_ls7e_ard_3-0-0_115079_2010-11-12_final
2010-12-02 09:39:19	ga_ls7e_ard_3-0-0_095072_2010-12-02_final
2010-12-02 09:45:18	ga_ls7e_ard_3-0-0_095087_2010-12-02_final
2012-01-05 09:00:45	ga_ls7e_ard_3-0-0_088081_2012-01-04_final
2012-06-10 11:46:22	ga_ls7e_ard_3-1-0_115077_2012-06-10_final
2013-02-08 09:02:57	ga_ls7e_ard_3-0-0_088081_2013-02-07_final
2013-06-17 09:47:39	ga_ls7e_ard_3-0-0_095086_2013-06-17_final
2014-02-11 09:03:58	ga_ls7e_ard_3-0-0_088082_2014-02-10_final
2014-02-12 09:49:12	ga_ls7e_ard_3-0-0_095087_2014-02-12_final
2014-06-03 09:04:32	ga_ls7e_ard_3-0-0_088082_2014-06-02_final
2014-06-20 09:49:48	ga_ls7e_ard_3-0-0_095087_2014-06-20_final
2014-09-07 09:04:47	ga_ls7e_ard_3-0-0_088082_2014-09-06_final
2014-10-22 11:50:52	ga_ls7e_ard_3-0-0_115079_2014-10-22_final
2014-10-25 09:05:14	ga_ls7e_ard_3-0-0_088082_2014-10-24_final
2016-11-28 11:55:19	ga_ls7e_ard_3-0-0_115079_2016-11-28_final
2017-07-14 09:54:39	ga_ls7e_ard_3-0-0_095086_2017-07-14_final
2017-07-30 09:54:38	ga_ls7e_ard_3-0-0_095086_2017-07-30_final
2018-06-27 11:51:53	ga_ls7e_ard_3-0-0_115078_2018-06-27_final
2018-07-13 11:51:34	ga_ls7e_ard_3-0-0_115078_2018-07-13_final
2018-07-17 09:48:41	ga_ls7e_ard_3-0-0_095080_2018-07-17_final
2018-07-17 09:51:05	ga_ls7e_ard_3-0-0_095086_2018-07-17_final
2019-12-07 11:34:35	ga_ls7e_ard_3-1-0_115078_2019-12-07_final
2021-02-10 08:46:16	ga_ls7e_ard_3-2-0_092079_2021-02-09_final
2021-02-15 10:38:32	ga_ls7e_ard_3-2-0_111067_2021-02-15_final
2021-03-05 10:26:23	ga_ls7e_ard_3-2-0_109071_2021-03-05_final
2021-03-07 10:15:51	ga_ls7e_ard_3-2-0_107076_2021-03-07_final
2021-03-08 09:20:34	ga_ls7e_ard_3-2-0_098077_2021-03-07_final
2021-03-13 09:40:42	ga_ls7e_ard_3-2-0_101082_2021-03-13_final
2021-03-25 10:01:16	ga_ls7e_ard_3-2-0_105074_2021-03-25_final
2021-04-02 10:50:03	ga_ls7e_ard_3-2-0_113074_2021-04-02_final
2021-04-09 09:20:22	ga_ls7e_ard_3-2-0_098083_2021-04-08_final
2021-04-24 08:37:50	ga_ls7e_ard_3-2-0_091088_2021-04-23_final
2021-04-29 10:29:14	ga_ls7e_ard_3-2-0_110074_2021-04-29_final
2021-05-20 10:49:37	ga_ls7e_ard_3-2-0_113083_2021-05-20_final
2021-05-28 08:18:13	ga_ls7e_ard_3-2-0_089077_2021-05-27_final
2021-06-04 08:24:36	ga_ls7e_ard_3-2-0_090079_2021-06-03_final
2021-06-13 09:54:35	ga_ls7e_ard_3-2-0_105074_2021-06-13_final
2021-06-19 09:20:36	ga_ls7e_ard_3-2-0_099083_2021-06-18_final
2021-06-29 09:50:52	ga_ls7e_ard_3-2-0_105068_2021-06-29_final
2021-06-30 08:56:21	ga_ls7e_ard_3-2-0_096071_2021-06-29_final
2021-07-01 09:39:56	ga_ls7e_ard_3-2-0_103072_2021-07-01_final
2021-07-07 10:46:01	ga_ls7e_ard_3-2-0_113084_2021-07-07_final
2021-07-13 08:30:21	ga_ls7e_ard_3-2-0_091086_2021-07-12_final
2021-07-13 10:07:13	ga_ls7e_ard_3-2-0_107081_2021-07-13_final
2021-07-14 09:12:19	ga_ls7e_ard_3-2-0_098083_2021-07-13_final
2021-07-14 10:49:36	ga_ls7e_ard_3-2-0_114079_2021-07-14_final
2021-07-18 08:48:03	ga_ls7e_ard_3-2-0_094085_2021-07-17_final
2021-07-21 09:13:30	ga_ls7e_ard_3-2-0_099072_2021-07-20_final
2021-07-27 08:42:18	ga_ls7e_ard_3-2-0_093088_2021-07-26_final
2021-07-29 08:28:10	ga_ls7e_ard_3-2-0_091084_2021-07-28_final
2021-07-31 09:50:55	ga_ls7e_ard_3-2-0_105075_2021-07-31_final
2021-08-02 09:37:11	ga_ls7e_ard_3-2-0_103072_2021-08-02_final
2021-08-14 10:00:02	ga_ls7e_ard_3-2-0_107070_2021-08-14_final
2021-08-16 08:11:24	ga_ls7e_ard_3-2-0_089077_2021-08-15_final
2021-08-23 08:21:46	ga_ls7e_ard_3-2-0_090089_2021-08-22_final
2021-09-27 10:22:29	ga_ls7e_ard_3-2-0_111074_2021-09-27_final
2021-10-06 10:13:55	ga_ls7e_ard_3-2-0_110070_2021-10-06_final
2021-10-25 09:07:02	ga_ls7e_ard_3-2-0_099077_2021-10-24_final
2021-10-26 09:47:24	ga_ls7e_ard_3-2-0_106070_2021-10-26_final
2021-10-27 08:51:17	ga_ls7e_ard_3-2-0_097069_2021-10-26_final
2021-10-29 10:19:13	ga_ls7e_ard_3-2-0_111073_2021-10-29_final
2021-10-31 10:07:04	ga_ls7e_ard_3-2-0_109074_2021-10-31_final
2021-11-09 09:58:27	ga_ls7e_ard_3-2-0_108070_2021-11-09_final
2021-11-10 10:44:48	ga_ls7e_ard_3-2-0_115078_2021-11-10_final
2021-11-14 10:18:06	ga_ls7e_ard_3-2-1_111074_2021-11-14_final
2021-12-03 09:11:29	ga_ls7e_ard_3-2-1_100082_2021-12-02_final
2021-12-06 09:38:55	ga_ls7e_ard_3-2-1_105074_2021-12-06_final
2021-12-12 09:05:15	ga_ls7e_ard_3-2-1_099084_2021-12-11_final
2021-12-29 09:40:52	ga_ls7e_ard_3-2-1_106069_2021-12-29_final
2021-12-29 09:43:39	ga_ls7e_ard_3-2-1_106076_2021-12-29_final
2022-01-18 09:14:37	ga_ls7e_ard_3-2-1_102070_2022-01-17_final
2022-01-18 09:19:24	ga_ls7e_ard_3-2-1_102082_2022-01-17_final
2022-01-23 09:35:28	ga_ls7e_ard_3-2-1_105077_2022-01-23_final
2022-01-29 10:37:52	ga_ls7e_ard_3-2-1_115080_2022-01-29_final
2022-01-30 08:04:04	ga_ls7e_ard_3-2-1_090082_2022-01-29_final
2022-02-07 08:46:43	ga_ls7e_ard_3-2-1_098067_2022-02-06_final
2022-02-11 08:23:58	ga_ls7e_ard_3-2-1_094073_2022-02-10_final
2022-02-16 08:43:59	ga_ls7e_ard_3-2-1_097078_2022-02-15_final
2022-02-20 08:21:41	ga_ls7e_ard_3-2-1_093085_2022-02-19_final
2022-03-01 08:10:39	ga_ls7e_ard_3-2-1_092075_2022-02-28_final
2022-03-14 09:16:09	ga_ls7e_ard_3-2-1_103072_2022-03-13_final
2022-03-17 08:09:03	ga_ls7e_ard_3-2-1_092075_2022-03-16_final
2022-03-17 08:13:50	ga_ls7e_ard_3-2-1_092087_2022-03-16_final
2022-03-26 08:06:49	ga_ls7e_ard_3-2-1_091087_2022-03-25_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