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
1999-07-26 09:14:44	ga_ls7e_ard_3-1-0_090088_1999-07-25_final
2003-03-27 09:29:16	ga_ls7e_ard_3-1-0_094073_2003-03-26_final
2003-08-15 09:01:19	ga_ls7e_ard_3-1-0_089081_2003-08-14_final
2003-10-25 09:09:03	ga_ls7e_ard_3-1-0_090085_2003-10-24_final
2006-02-08 09:30:04	ga_ls7e_ard_3-1-0_093087_2006-02-08_final
2006-02-19 09:10:46	ga_ls7e_ard_3-1-0_090085_2006-02-18_final
2006-04-10 10:31:16	ga_ls7e_ard_3-1-0_104070_2006-04-10_final
2007-03-31 09:30:10	ga_ls7e_ard_3-1-0_093086_2007-03-31_final
2007-11-21 09:10:51	ga_ls7e_ard_3-1-0_090085_2007-11-20_final
2008-09-22 10:30:04	ga_ls7e_ard_3-1-0_104070_2008-09-22_final
2008-11-03 09:30:00	ga_ls7e_ard_3-1-0_094074_2008-11-03_final
2009-05-23 09:30:04	ga_ls7e_ard_3-1-0_093086_2009-05-23_final
2009-10-09 09:10:43	ga_ls7e_ard_3-1-0_090085_2009-10-08_final
2010-10-01 09:27:27	ga_ls7e_ard_3-1-0_093075_2010-09-30_final
2010-12-24 09:09:12	ga_ls7e_ard_3-1-0_089089_2010-12-23_final
2011-01-05 11:09:44	ga_ls7e_ard_3-1-0_109081_2011-01-05_final
2014-02-25 09:17:24	ga_ls7e_ard_3-1-0_090085_2014-02-24_final
2014-08-09 11:14:10	ga_ls7e_ard_3-1-0_109081_2014-08-09_final
2014-08-29 09:13:43	ga_ls7e_ard_3-1-0_089089_2014-08-28_final
2015-11-16 09:40:45	ga_ls7e_ard_3-1-0_093087_2015-11-16_final
2016-09-12 10:43:56	ga_ls7e_ard_3-1-0_104070_2016-09-12_final
2017-12-18 09:23:02	ga_ls7e_ard_3-1-0_090085_2017-12-17_final
2018-10-28 11:33:10	ga_ls7e_ard_3-1-0_112084_2018-10-28_final
2018-11-12 09:09:30	ga_ls7e_ard_3-1-0_089081_2018-11-11_final
2018-12-30 09:08:12	ga_ls7e_ard_3-1-0_089081_2018-12-29_final
2019-02-17 11:26:50	ga_ls7e_ard_3-1-0_112076_2019-02-17_final
2019-02-23 09:11:05	ga_ls7e_ard_3-1-0_090077_2019-02-22_final
2019-03-12 09:54:36	ga_ls7e_ard_3-1-0_097079_2019-03-12_final
2019-03-18 10:52:37	ga_ls7e_ard_3-1-0_107070_2019-03-18_final
2019-03-23 11:16:11	ga_ls7e_ard_3-1-0_110083_2019-03-23_final
2019-03-27 09:12:51	ga_ls7e_ard_3-1-0_090084_2019-03-26_final
2019-03-28 11:33:21	ga_ls7e_ard_3-1-0_113080_2019-03-28_final
2019-08-24 10:08:08	ga_ls7e_ard_3-1-0_100082_2019-08-24_final
2019-08-25 10:52:09	ga_ls7e_ard_3-1-0_107084_2019-08-25_final
2019-08-30 09:32:00	ga_ls7e_ard_3-1-0_094085_2019-08-30_final
2019-09-04 11:28:48	ga_ls7e_ard_3-1-0_113084_2019-09-04_final
2019-09-09 10:07:51	ga_ls7e_ard_3-1-0_100083_2019-09-09_final
2019-09-10 10:45:52	ga_ls7e_ard_3-1-0_107070_2019-09-10_final
2019-09-13 11:21:26	ga_ls7e_ard_3-1-0_112082_2019-09-13_final
2019-09-24 10:58:48	ga_ls7e_ard_3-1-0_109073_2019-09-24_final
2019-10-30 08:58:53	ga_ls7e_ard_3-1-0_089086_2019-10-29_final
2019-11-02 09:28:03	ga_ls7e_ard_3-1-0_094082_2019-11-01_final
2019-11-11 09:22:39	ga_ls7e_ard_3-1-0_093085_2019-11-10_final
2019-11-17 10:18:35	ga_ls7e_ard_3-1-0_103071_2019-11-17_final
2019-11-28 10:04:19	ga_ls7e_ard_3-1-0_100083_2019-11-28_final
2019-12-01 08:54:12	ga_ls7e_ard_3-1-0_089078_2019-11-30_final
2019-12-03 10:18:37	ga_ls7e_ard_3-1-0_103073_2019-12-03_final
2019-12-04 09:26:09	ga_ls7e_ard_3-1-0_094081_2019-12-03_final
2019-12-09 11:20:55	ga_ls7e_ard_3-1-0_113075_2019-12-09_final
2019-12-15 10:46:44	ga_ls7e_ard_3-1-0_107083_2019-12-15_final
2019-12-29 10:53:11	ga_ls7e_ard_3-1-0_109070_2019-12-29_final
2020-01-26 11:20:53	ga_ls7e_ard_3-1-0_113081_2020-01-26_final
2020-03-04 10:42:14	ga_ls7e_ard_3-1-0_107082_2020-03-04_final
2020-03-09 09:21:37	ga_ls7e_ard_3-1-0_094082_2020-03-08_final
2020-03-12 09:52:45	ga_ls7e_ard_3-1-0_099083_2020-03-12_final
2020-03-22 08:50:48	ga_ls7e_ard_3-1-0_089084_2020-03-21_final
2020-03-22 08:51:12	ga_ls7e_ard_3-1-0_089085_2020-03-21_final
2020-03-25 10:56:01	ga_ls7e_ard_3-1-0_110073_2020-03-25_final
2020-04-13 09:50:57	ga_ls7e_ard_3-1-0_099083_2020-04-13_final
2020-04-23 08:47:22	ga_ls7e_ard_3-1-0_089080_2020-04-22_final
2020-04-26 10:58:34	ga_ls7e_ard_3-1-0_110084_2020-04-26_final
2020-08-10 09:49:33	ga_ls7e_ard_3-1-0_100082_2020-08-10_final
2020-08-19 09:43:36	ga_ls7e_ard_3-1-0_099084_2020-08-19_final
2020-08-19 11:18:29	ga_ls7e_ard_3-1-0_115074_2020-08-19_final
2020-08-20 08:47:55	ga_ls7e_ard_3-1-0_090084_2020-08-19_final
2020-08-21 11:08:24	ga_ls7e_ard_3-1-0_113080_2020-08-21_final
2020-08-24 09:56:14	ga_ls7e_ard_3-1-0_102070_2020-08-24_final
2020-08-26 09:44:32	ga_ls7e_ard_3-1-0_100072_2020-08-26_final
2020-09-01 10:45:57	ga_ls7e_ard_3-1-0_110072_2020-09-01_final
2020-09-03 10:37:51	ga_ls7e_ard_3-1-0_108083_2020-09-03_final
2020-09-10 10:38:47	ga_ls7e_ard_3-1-0_109071_2020-09-10_final
2020-09-12 10:29:52	ga_ls7e_ard_3-1-0_107080_2020-09-12_final
2020-09-13 09:32:59	ga_ls7e_ard_3-1-0_098077_2020-09-13_final
2020-09-15 09:23:41	ga_ls7e_ard_3-1-0_096085_2020-09-14_final
2020-09-19 08:58:18	ga_ls7e_ard_3-1-0_092084_2020-09-18_final
2020-09-19 08:59:30	ga_ls7e_ard_3-1-0_092087_2020-09-18_final
2020-09-20 11:16:23	ga_ls7e_ard_3-1-0_115074_2020-09-20_final
2020-09-28 08:48:45	ga_ls7e_ard_3-1-0_091077_2020-09-27_final
2020-10-05 10:31:46	ga_ls7e_ard_3-1-0_108073_2020-10-05_final
2020-10-06 11:16:34	ga_ls7e_ard_3-1-0_115077_2020-10-06_final
2020-10-11 09:53:07	ga_ls7e_ard_3-1-0_102070_2020-10-11_final
2020-10-11 09:57:54	ga_ls7e_ard_3-1-0_102082_2020-10-11_final
2020-10-13 09:41:25	ga_ls7e_ard_3-1-0_100072_2020-10-13_final
2020-10-16 10:12:31	ga_ls7e_ard_3-1-0_105073_2020-10-16_final
2020-10-20 09:47:33	ga_ls7e_ard_3-1-0_101073_2020-10-20_final
2020-10-23 08:42:57	ga_ls7e_ard_3-1-0_090082_2020-10-22_final
2020-10-25 10:04:33	ga_ls7e_ard_3-1-0_104070_2020-10-25_final
2020-10-30 10:23:10	ga_ls7e_ard_3-1-0_107071_2020-10-30_final
2020-10-31 11:09:33	ga_ls7e_ard_3-1-0_114079_2020-10-31_final
2020-11-15 08:49:10	ga_ls7e_ard_3-1-0_091086_2020-11-14_final
2020-11-16 11:09:15	ga_ls7e_ard_3-1-0_114081_2020-11-16_final
2020-11-17 08:35:29	ga_ls7e_ard_3-1-0_089083_2020-11-16_final
2020-11-18 10:54:45	ga_ls7e_ard_3-1-0_112076_2020-11-18_final
2020-11-21 09:44:58	ga_ls7e_ard_3-1-0_101072_2020-11-21_final
2020-11-23 11:12:08	ga_ls7e_ard_3-1-0_115074_2020-11-23_final
2020-11-25 09:19:10	ga_ls7e_ard_3-1-0_097070_2020-11-24_final
2020-11-27 09:13:27	ga_ls7e_ard_3-1-0_095087_2020-11-26_final
2020-12-04 10:53:36	ga_ls7e_ard_3-1-0_112076_2020-12-04_final
2020-12-09 09:35:41	ga_ls7e_ard_3-1-0_099083_2020-12-09_final
2021-02-27 11:06:19	ga_ls7e_ard_3-2-0_115077_2021-02-27_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