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
1999-09-17 09:32:52	ga_ls7e_ard_3-1-0_093087_1999-09-17_final
2003-03-18 09:35:31	ga_ls7e_ard_3-1-0_095073_2003-03-18_final
2003-04-12 09:32:34	ga_ls7e_ard_3-0-0_094081_2003-04-12_final
2003-08-18 09:33:49	ga_ls7e_ard_3-0-0_094085_2003-08-18_final
2003-12-21 09:04:57	ga_ls7e_ard_3-1-0_089089_2003-12-20_final
2003-12-28 09:09:35	ga_ls7e_ard_3-1-0_090085_2003-12-27_final
2004-03-24 09:16:33	ga_ls7e_ard_3-1-0_091086_2004-03-23_final
2004-05-18 10:57:08	ga_ls7e_ard_3-1-0_108075_2004-05-18_final
2006-01-25 09:17:13	ga_ls7e_ard_3-1-0_091086_2006-01-24_final
2006-02-16 10:17:56	ga_ls7e_ard_3-1-0_101083_2006-02-16_final
2006-09-11 09:30:11	ga_ls7e_ard_3-1-0_094073_2006-09-11_final
2006-11-14 09:33:44	ga_ls7e_ard_3-0-0_094081_2006-11-14_final
2008-04-25 09:30:43	ga_ls7e_ard_3-0-0_094073_2008-04-25_final
2008-07-30 09:35:28	ga_ls7e_ard_3-0-0_094087_2008-07-30_final
2008-09-12 09:57:04	ga_ls7e_ard_3-1-0_098080_2008-09-12_final
2009-02-04 09:02:42	ga_ls7e_ard_3-1-0_089081_2009-02-03_final
2009-10-25 10:45:05	ga_ls7e_ard_3-1-0_106073_2009-10-25_final
2010-05-14 09:05:02	ga_ls7e_ard_3-1-0_089081_2010-05-13_final
2011-07-14 09:40:19	ga_ls7e_ard_3-1-0_095073_2011-07-14_final
2011-08-24 09:31:37	ga_ls7e_ard_3-1-0_094067_2011-08-24_final
2011-12-23 09:33:57	ga_ls7e_ard_3-1-0_093087_2011-12-23_final
2013-03-15 11:12:39	ga_ls7e_ard_3-1-0_109081_2013-03-15_final
2013-10-20 10:51:38	ga_ls7e_ard_3-1-0_106075_2013-10-20_final
2015-01-20 09:11:27	ga_ls7e_ard_3-1-0_089081_2015-01-19_final
2015-12-09 09:41:41	ga_ls7e_ard_3-0-0_094073_2015-12-09_final
2016-01-03 09:41:28	ga_ls7e_ard_3-1-0_093087_2016-01-03_final
2016-01-17 09:50:51	ga_ls7e_ard_3-1-0_095079_2016-01-17_final
2016-05-17 11:21:30	ga_ls7e_ard_3-1-0_110072_2016-05-17_final
2016-07-11 11:31:50	ga_ls7e_ard_3-1-0_111082_2016-07-11_final
2017-05-04 11:21:34	ga_ls7e_ard_3-1-0_110072_2017-05-04_final
2018-04-19 09:58:51	ga_ls7e_ard_3-1-0_096086_2018-04-19_final
2018-09-12 09:42:12	ga_ls7e_ard_3-0-0_094082_2018-09-12_final
2018-09-28 09:38:15	ga_ls7e_ard_3-0-0_094073_2018-09-28_final
2019-02-19 11:12:49	ga_ls7e_ard_3-1-0_110072_2019-02-19_final
2019-02-22 11:44:26	ga_ls7e_ard_3-1-0_115074_2019-02-22_final
2019-03-12 11:35:05	ga_ls7e_ard_3-1-0_113083_2019-03-12_final
2019-03-13 10:35:50	ga_ls7e_ard_3-1-0_104074_2019-03-13_final
2019-03-23 11:16:11	ga_ls7e_ard_3-1-0_110083_2019-03-23_final
2019-03-27 09:14:26	ga_ls7e_ard_3-1-0_090088_2019-03-26_final
2019-03-27 10:46:08	ga_ls7e_ard_3-1-0_106070_2019-03-27_final
2019-06-27 09:35:23	ga_ls7e_ard_3-0-0_094087_2019-06-27_final
2019-08-30 11:07:17	ga_ls7e_ard_3-1-0_110076_2019-08-30_final
2019-09-11 09:50:36	ga_ls7e_ard_3-1-0_098071_2019-09-11_final
2019-09-22 09:36:22	ga_ls7e_ard_3-1-0_095083_2019-09-22_final
2019-09-23 10:14:23	ga_ls7e_ard_3-1-0_102070_2019-09-23_final
2019-09-25 10:02:44	ga_ls7e_ard_3-1-0_100072_2019-09-25_final
2019-10-05 10:43:24	ga_ls7e_ard_3-1-0_106082_2019-10-05_final
2019-10-13 09:49:39	ga_ls7e_ard_3-1-0_098072_2019-10-13_final
2019-10-22 09:45:28	ga_ls7e_ard_3-1-0_097078_2019-10-22_final
2019-10-28 10:45:49	ga_ls7e_ard_3-1-0_107075_2019-10-28_final
2019-11-06 09:03:57	ga_ls7e_ard_3-1-0_090084_2019-11-05_final
2019-11-21 09:54:05	ga_ls7e_ard_3-1-0_099072_2019-11-21_final
2019-11-24 10:24:26	ga_ls7e_ard_3-1-0_104071_2019-11-24_final
2019-12-11 09:31:58	ga_ls7e_ard_3-1-0_095081_2019-12-11_final
2019-12-22 10:52:57	ga_ls7e_ard_3-1-0_108084_2019-12-22_final
2020-01-06 10:06:55	ga_ls7e_ard_3-1-0_101079_2020-01-06_final
2020-01-26 09:43:12	ga_ls7e_ard_3-1-0_097084_2020-01-26_final
2020-02-17 09:04:36	ga_ls7e_ard_3-1-0_091083_2020-02-16_final
2020-02-17 10:41:05	ga_ls7e_ard_3-1-0_107077_2020-02-17_final
2020-03-15 10:19:30	ga_ls7e_ard_3-1-0_104073_2020-03-15_final
2020-03-16 09:27:25	ga_ls7e_ard_3-1-0_095082_2020-03-15_final
2020-03-28 09:50:16	ga_ls7e_ard_3-1-0_099079_2020-03-28_final
2020-03-29 10:29:53	ga_ls7e_ard_3-1-0_106070_2020-03-29_final
2020-04-07 10:27:59	ga_ls7e_ard_3-1-0_105082_2020-04-07_final
2020-05-01 11:15:13	ga_ls7e_ard_3-1-0_113080_2020-05-01_final
2020-06-17 10:25:09	ga_ls7e_ard_3-1-0_106070_2020-06-17_final
2020-06-26 10:17:38	ga_ls7e_ard_3-1-0_105068_2020-06-26_final
2020-06-29 09:16:40	ga_ls7e_ard_3-1-0_094086_2020-06-28_final
2020-07-08 09:09:08	ga_ls7e_ard_3-1-0_093084_2020-07-07_final
2020-07-19 08:50:20	ga_ls7e_ard_3-1-0_090085_2020-07-18_final
2020-08-03 09:42:13	ga_ls7e_ard_3-1-0_099078_2020-08-03_final
2021-02-26 08:48:39	ga_ls7e_ard_3-2-0_092088_2021-02-25_final
2021-04-01 10:07:40	ga_ls7e_ard_3-2-0_106076_2021-04-01_final
2021-04-13 10:29:48	ga_ls7e_ard_3-2-0_110072_2021-04-13_final
2021-04-13 10:34:35	ga_ls7e_ard_3-2-0_110084_2021-04-13_final
2021-04-15 10:16:05	ga_ls7e_ard_3-2-0_108069_2021-04-15_final
2021-04-30 09:34:20	ga_ls7e_ard_3-2-0_101076_2021-04-30_final
2021-06-02 10:16:00	ga_ls7e_ard_3-2-0_108079_2021-06-02_final
2021-06-16 10:24:26	ga_ls7e_ard_3-2-0_110072_2021-06-16_final
2021-06-17 09:28:20	ga_ls7e_ard_3-2-0_101071_2021-06-16_final
2021-06-30 10:40:25	ga_ls7e_ard_3-2-0_112084_2021-06-30_final
2021-07-05 09:17:40	ga_ls7e_ard_3-2-0_099079_2021-07-04_final
2021-07-18 10:19:45	ga_ls7e_ard_3-2-0_110067_2021-07-18_final
2021-07-27 08:37:06	ga_ls7e_ard_3-2-0_093075_2021-07-26_final
2021-08-05 10:12:12	ga_ls7e_ard_3-2-0_108083_2021-08-05_final
2021-08-07 08:21:11	ga_ls7e_ard_3-2-0_090084_2021-08-06_final
2021-08-12 08:36:29	ga_ls7e_ard_3-2-0_093077_2021-08-11_final
2021-08-20 09:22:49	ga_ls7e_ard_3-2-0_101071_2021-08-19_final
2021-09-04 08:39:04	ga_ls7e_ard_3-2-0_094073_2021-09-03_final
2021-09-14 09:19:16	ga_ls7e_ard_3-2-0_100083_2021-09-13_final
2021-10-14 09:27:45	ga_ls7e_ard_3-2-0_102080_2021-10-13_final
2021-11-03 08:57:37	ga_ls7e_ard_3-2-0_098071_2021-11-02_final
2021-11-05 08:45:52	ga_ls7e_ard_3-2-0_096073_2021-11-04_final
2021-11-12 10:33:50	ga_ls7e_ard_3-2-1_113082_2021-11-12_final
2021-11-26 09:01:10	ga_ls7e_ard_3-2-1_099070_2021-11-25_final
2021-12-12 09:04:51	ga_ls7e_ard_3-2-1_099083_2021-12-11_final
2021-12-13 08:07:33	ga_ls7e_ard_3-2-1_090079_2021-12-12_final
2021-12-30 08:51:08	ga_ls7e_ard_3-2-1_097084_2021-12-29_final
2022-01-06 10:31:53	ga_ls7e_ard_3-2-1_114075_2022-01-06_final
2022-02-15 08:05:37	ga_ls7e_ard_3-2-1_090090_2022-02-14_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