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
1999-08-19 11:39:27	ga_ls7e_ard_3-0-0_114079_1999-08-19_final
1999-09-04 11:39:34	ga_ls7e_ard_3-0-0_114079_1999-09-04_final
1999-12-09 11:39:32	ga_ls7e_ard_3-0-0_114079_1999-12-09_final
2000-02-02 11:44:47	ga_ls7e_ard_3-0-0_115077_2000-02-02_final
2000-07-04 11:37:50	ga_ls7e_ard_3-0-0_114078_2000-07-04_final
2000-08-28 11:43:20	ga_ls7e_ard_3-0-0_115078_2000-08-28_final
2000-09-29 11:42:27	ga_ls7e_ard_3-1-0_115077_2000-09-29_final
2001-02-04 11:42:26	ga_ls7e_ard_3-1-0_115077_2001-02-04_final
2001-09-25 11:34:16	ga_ls7e_ard_3-0-0_114077_2001-09-25_final
2001-12-14 11:35:17	ga_ls7e_ard_3-0-0_114079_2001-12-14_final
2001-12-21 11:40:41	ga_ls7e_ard_3-1-0_115077_2001-12-21_final
2003-05-17 11:40:18	ga_ls7e_ard_3-0-0_115076_2003-05-17_final
2003-11-25 11:40:40	ga_ls7e_ard_3-0-0_115077_2003-11-25_final
2004-08-07 11:40:48	ga_ls7e_ard_3-0-0_115077_2004-08-07_final
2006-12-03 11:42:06	ga_ls7e_ard_3-1-0_115077_2006-12-03_final
2010-10-04 11:38:28	ga_ls7e_ard_3-0-0_114078_2010-10-04_final
2012-12-03 11:47:35	ga_ls7e_ard_3-0-0_115076_2012-12-03_final
2013-08-16 11:46:06	ga_ls7e_ard_3-0-0_115074_2013-08-16_final
2014-08-28 11:44:14	ga_ls7e_ard_3-0-0_114079_2014-08-28_final
2015-10-09 11:52:05	ga_ls7e_ard_3-0-0_115077_2015-10-09_final
2015-12-05 11:47:37	ga_ls7e_ard_3-0-0_114079_2015-12-05_final
2016-12-07 11:48:42	ga_ls7e_ard_3-0-0_114078_2016-12-07_final
2020-12-03 10:12:49	ga_ls7e_ard_3-1-0_105082_2020-12-03_final
2020-12-13 09:11:51	ga_ls7e_ard_3-1-0_095086_2020-12-12_final
2020-12-13 10:44:45	ga_ls7e_ard_3-1-0_111071_2020-12-13_final
2020-12-14 09:49:51	ga_ls7e_ard_3-1-0_102073_2020-12-14_final
2020-12-27 10:54:29	ga_ls7e_ard_3-1-0_113067_2020-12-27_final
2020-12-31 10:33:05	ga_ls7e_ard_3-1-0_109076_2020-12-31_final
2021-02-11 09:25:04	ga_ls7e_ard_3-2-0_099068_2021-02-10_final
2021-02-17 10:29:12	ga_ls7e_ard_3-2-0_109075_2021-02-17_final
2021-02-20 10:59:29	ga_ls7e_ard_3-2-0_114074_2021-02-20_final
2021-02-27 09:23:27	ga_ls7e_ard_3-2-0_099067_2021-02-26_final
2021-03-05 10:25:59	ga_ls7e_ard_3-2-0_109070_2021-03-05_final
2021-03-12 08:53:56	ga_ls7e_ard_3-2-0_094073_2021-03-11_final
2021-03-15 09:28:35	ga_ls7e_ard_3-2-0_099083_2021-03-14_final
2021-03-22 09:31:24	ga_ls7e_ard_3-2-0_100076_2021-03-22_final
2021-03-25 08:24:23	ga_ls7e_ard_3-2-0_089079_2021-03-24_final
2021-04-15 08:44:23	ga_ls7e_ard_3-2-0_092087_2021-04-14_final
2021-04-15 10:22:04	ga_ls7e_ard_3-2-0_108084_2021-04-15_final
2021-04-18 09:12:38	ga_ls7e_ard_3-2-0_097081_2021-04-17_final
2021-05-01 08:43:02	ga_ls7e_ard_3-2-0_092087_2021-04-30_final
2021-05-06 09:00:45	ga_ls7e_ard_3-2-0_095086_2021-05-05_final
2021-05-08 10:22:19	ga_ls7e_ard_3-2-0_109074_2021-05-08_final
2021-05-10 08:33:42	ga_ls7e_ard_3-2-0_091081_2021-05-09_final
2021-05-14 09:47:08	ga_ls7e_ard_3-2-0_103080_2021-05-14_final
2021-06-03 09:15:55	ga_ls7e_ard_3-2-0_099068_2021-06-02_final
2021-06-03 09:20:18	ga_ls7e_ard_3-2-0_099079_2021-06-02_final
2021-06-04 10:05:04	ga_ls7e_ard_3-2-0_106083_2021-06-04_final
2021-06-09 10:20:01	ga_ls7e_ard_3-2-0_109075_2021-06-09_final
2021-06-11 08:33:01	ga_ls7e_ard_3-2-0_091086_2021-06-10_final
2021-06-14 10:41:21	ga_ls7e_ard_3-2-0_112083_2021-06-14_final
2021-06-14 10:41:45	ga_ls7e_ard_3-2-0_112084_2021-06-14_final
2021-06-20 08:24:54	ga_ls7e_ard_3-2-0_090083_2021-06-19_final
2021-06-23 10:34:50	ga_ls7e_ard_3-2-0_111084_2021-06-23_final
2021-06-26 09:25:48	ga_ls7e_ard_3-2-0_100082_2021-06-25_final
2021-06-27 08:29:18	ga_ls7e_ard_3-2-0_091080_2021-06-26_final
2021-06-30 09:01:57	ga_ls7e_ard_3-2-0_096085_2021-06-29_final
2021-07-04 08:36:05	ga_ls7e_ard_3-2-0_092083_2021-07-03_final
2021-07-05 10:55:45	ga_ls7e_ard_3-2-0_115077_2021-07-05_final
2021-07-16 10:39:04	ga_ls7e_ard_3-2-0_112084_2021-07-16_final
2021-07-18 08:46:27	ga_ls7e_ard_3-2-0_094081_2021-07-17_final
2021-07-22 08:21:24	ga_ls7e_ard_3-2-0_090081_2021-07-21_final
2021-08-12 10:14:34	ga_ls7e_ard_3-2-0_109075_2021-08-12_final
2021-08-14 08:28:44	ga_ls7e_ard_3-2-0_091089_2021-08-13_final
2021-08-17 10:36:15	ga_ls7e_ard_3-2-0_112084_2021-08-17_final
2021-08-23 08:21:22	ga_ls7e_ard_3-2-0_090088_2021-08-22_final
2021-08-24 10:35:03	ga_ls7e_ard_3-2-0_113067_2021-08-24_final
2021-08-24 10:41:26	ga_ls7e_ard_3-2-0_113083_2021-08-24_final
2021-08-31 09:05:44	ga_ls7e_ard_3-2-0_098077_2021-08-30_final
2021-08-31 09:06:08	ga_ls7e_ard_3-2-0_098078_2021-08-30_final
2021-09-06 10:09:24	ga_ls7e_ard_3-2-0_108083_2021-09-06_final
2021-09-25 10:32:14	ga_ls7e_ard_3-2-0_113067_2021-09-25_final
2021-09-30 09:16:14	ga_ls7e_ard_3-2-0_100079_2021-09-29_final
2021-10-13 10:18:17	ga_ls7e_ard_3-2-0_111067_2021-10-13_final
2021-10-15 10:09:20	ga_ls7e_ard_3-2-0_109076_2021-10-15_final
2021-10-16 09:14:25	ga_ls7e_ard_3-2-0_100078_2021-10-15_final
2021-10-19 09:46:39	ga_ls7e_ard_3-2-0_105082_2021-10-19_final
2021-10-25 09:04:38	ga_ls7e_ard_3-2-0_099071_2021-10-24_final
2021-10-31 10:06:40	ga_ls7e_ard_3-2-0_109073_2021-10-31_final
2021-11-01 09:10:10	ga_ls7e_ard_3-2-0_100071_2021-10-31_final
2021-11-10 09:05:07	ga_ls7e_ard_3-2-0_099076_2021-11-09_final
2021-11-18 09:55:22	ga_ls7e_ard_3-2-1_107080_2021-11-18_final
2021-11-23 10:11:01	ga_ls7e_ard_3-2-1_110074_2021-11-23_final
2022-01-30 09:43:21	ga_ls7e_ard_3-2-1_106083_2022-01-30_final
2022-02-06 08:10:44	ga_ls7e_ard_3-2-1_091085_2022-02-05_final
2022-02-13 09:51:05	ga_ls7e_ard_3-2-1_108075_2022-02-13_final
2022-02-20 08:17:42	ga_ls7e_ard_3-2-1_093075_2022-02-19_final
2022-03-03 09:34:59	ga_ls7e_ard_3-2-1_106070_2022-03-03_final
2022-03-06 08:27:31	ga_ls7e_ard_3-2-1_095072_2022-03-05_final
2022-03-10 08:08:23	ga_ls7e_ard_3-2-1_091087_2022-03-09_final
2022-03-10 09:45:39	ga_ls7e_ard_3-2-1_107083_2022-03-10_final
2022-03-10 09:46:03	ga_ls7e_ard_3-2-1_107084_2022-03-10_final
2022-03-11 08:43:57	ga_ls7e_ard_3-2-1_098068_2022-03-10_final
2022-03-18 08:50:37	ga_ls7e_ard_3-2-1_099071_2022-03-17_final
2022-03-19 09:32:35	ga_ls7e_ard_3-2-1_106068_2022-03-19_final
2022-03-24 09:51:03	ga_ls7e_ard_3-2-1_109069_2022-03-24_final
2022-03-28 07:53:52	ga_ls7e_ard_3-2-1_089086_2022-03-27_final
2022-03-29 08:37:02	ga_ls7e_ard_3-2-1_096086_2022-03-28_final
2022-03-31 09:59:46	ga_ls7e_ard_3-2-1_110077_2022-03-31_final
2022-03-31 10:01:46	ga_ls7e_ard_3-2-1_110082_2022-03-31_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years