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
2002-12-24 11:41:08	ga_ls7e_ard_3-0-0_115079_2002-12-24_final
2005-10-13 11:41:29	ga_ls7e_ard_3-0-0_115078_2005-10-13_final
2006-02-02 11:42:24	ga_ls7e_ard_3-0-0_115078_2006-02-02_final
2006-11-17 11:42:21	ga_ls7e_ard_3-0-0_115078_2006-11-17_final
2007-01-04 11:42:37	ga_ls7e_ard_3-0-0_115078_2007-01-04_final
2009-12-11 11:43:43	ga_ls7e_ard_3-0-0_115079_2009-12-11_final
2009-12-27 11:44:00	ga_ls7e_ard_3-0-0_115079_2009-12-27_final
2011-04-21 11:46:00	ga_ls7e_ard_3-0-0_115078_2011-04-21_final
2011-11-15 11:46:22	ga_ls7e_ard_3-0-0_115079_2011-11-15_final
2011-12-01 11:46:32	ga_ls7e_ard_3-0-0_115079_2011-12-01_final
2012-03-06 11:46:30	ga_ls7e_ard_3-0-0_115078_2012-03-06_final
2012-12-03 11:48:22	ga_ls7e_ard_3-0-0_115078_2012-12-03_final
2013-04-10 11:48:26	ga_ls7e_ard_3-0-0_115078_2013-04-10_final
2020-11-25 10:59:38	ga_ls7e_ard_3-1-0_113074_2020-11-25_final
2020-11-30 09:40:08	ga_ls7e_ard_3-1-0_100077_2020-11-30_final
2020-11-30 09:42:56	ga_ls7e_ard_3-1-0_100084_2020-11-30_final
2020-12-04 10:56:00	ga_ls7e_ard_3-1-0_112082_2020-12-04_final
2020-12-13 10:43:33	ga_ls7e_ard_3-1-0_111068_2020-12-13_final
2020-12-14 09:49:03	ga_ls7e_ard_3-1-0_102071_2020-12-14_final
2020-12-19 08:33:55	ga_ls7e_ard_3-1-0_089085_2020-12-18_final
2021-01-02 08:45:18	ga_ls7e_ard_3-1-0_091085_2021-01-01_final
2021-01-05 10:50:52	ga_ls7e_ard_3-1-0_112075_2021-01-05_final
2021-01-05 10:51:16	ga_ls7e_ard_3-1-0_112076_2021-01-05_final
2021-01-05 10:54:04	ga_ls7e_ard_3-1-0_112083_2021-01-05_final
2021-01-06 09:52:23	ga_ls7e_ard_3-1-0_103068_2021-01-06_final
2021-01-07 08:56:18	ga_ls7e_ard_3-1-0_094067_2021-01-06_final
2021-01-07 10:37:58	ga_ls7e_ard_3-1-0_110074_2021-01-07_final
2021-01-10 09:28:59	ga_ls7e_ard_3-1-0_099072_2021-01-09_final
2021-01-10 09:33:23	ga_ls7e_ard_3-1-0_099083_2021-01-10_final
2021-01-12 10:56:10	ga_ls7e_ard_3-1-0_113074_2021-01-12_final
2021-01-14 10:47:39	ga_ls7e_ard_3-1-0_111084_2021-01-14_final
2021-01-20 10:03:46	ga_ls7e_ard_3-2-0_105068_2021-01-20_final
2021-01-23 10:36:02	ga_ls7e_ard_3-2-0_110072_2021-01-23_final
2021-01-28 09:17:44	ga_ls7e_ard_3-2-0_097078_2021-01-27_final
2021-01-29 09:56:56	ga_ls7e_ard_3-2-0_104068_2021-01-29_final
2021-01-31 09:44:25	ga_ls7e_ard_3-2-0_102068_2021-01-31_final
2021-02-10 08:44:40	ga_ls7e_ard_3-2-0_092075_2021-02-09_final
2021-02-21 08:27:18	ga_ls7e_ard_3-2-0_089080_2021-02-20_final
2021-03-01 09:12:08	ga_ls7e_ard_3-2-0_097070_2021-02-28_final
2021-03-03 10:40:53	ga_ls7e_ard_3-2-0_111076_2021-03-03_final
2021-03-14 08:42:13	ga_ls7e_ard_3-2-0_092075_2021-03-13_final
2021-03-15 09:26:59	ga_ls7e_ard_3-2-0_099079_2021-03-14_final
2021-03-16 10:08:58	ga_ls7e_ard_3-2-0_106076_2021-03-16_final
2021-03-18 09:58:51	ga_ls7e_ard_3-2-0_104082_2021-03-18_final
2021-04-17 08:32:15	ga_ls7e_ard_3-2-0_090088_2021-04-16_final
2021-04-18 09:13:50	ga_ls7e_ard_3-2-0_097084_2021-04-17_final
2021-05-17 10:15:23	ga_ls7e_ard_3-2-0_108074_2021-05-17_final
2021-05-19 08:28:46	ga_ls7e_ard_3-2-0_090086_2021-05-18_final
2021-05-24 10:24:57	ga_ls7e_ard_3-2-0_109084_2021-05-24_final
2021-05-28 09:55:54	ga_ls7e_ard_3-2-0_105074_2021-05-28_final
2021-06-08 09:39:38	ga_ls7e_ard_3-2-0_102082_2021-06-08_final
2021-06-09 10:19:37	ga_ls7e_ard_3-2-0_109074_2021-06-09_final
2021-06-10 09:27:07	ga_ls7e_ard_3-2-0_100082_2021-06-09_final
2021-06-11 08:31:01	ga_ls7e_ard_3-2-0_091081_2021-06-10_final
2021-06-16 08:43:34	ga_ls7e_ard_3-2-0_094067_2021-06-15_final
2021-06-27 08:31:42	ga_ls7e_ard_3-2-0_091086_2021-06-26_final
2021-07-04 10:11:23	ga_ls7e_ard_3-2-0_108074_2021-07-04_final
2021-07-05 09:16:52	ga_ls7e_ard_3-2-0_099077_2021-07-04_final
2021-07-05 10:55:21	ga_ls7e_ard_3-2-0_115076_2021-07-05_final
2021-07-15 08:14:37	ga_ls7e_ard_3-2-0_089078_2021-07-14_final
2021-07-16 10:37:52	ga_ls7e_ard_3-2-0_112081_2021-07-16_final
2021-07-17 09:36:58	ga_ls7e_ard_3-2-0_103068_2021-07-17_final
2021-07-25 10:27:19	ga_ls7e_ard_3-2-0_111072_2021-07-25_final
2021-07-27 10:19:10	ga_ls7e_ard_3-2-0_109083_2021-07-27_final
2021-08-06 09:10:07	ga_ls7e_ard_3-2-0_099067_2021-08-05_final
2021-09-23 09:10:17	ga_ls7e_ard_3-2-0_099078_2021-09-22_final
2021-09-29 10:10:44	ga_ls7e_ard_3-2-0_109076_2021-09-29_final
2021-10-11 10:36:48	ga_ls7e_ard_3-2-0_113082_2021-10-11_final
2021-10-27 10:32:10	ga_ls7e_ard_3-2-0_113074_2021-10-27_final
2021-11-01 09:12:57	ga_ls7e_ard_3-2-0_100078_2021-10-31_final
2021-11-04 09:39:35	ga_ls7e_ard_3-2-0_105068_2021-11-04_final
2021-11-04 09:41:59	ga_ls7e_ard_3-2-0_105074_2021-11-04_final
2021-11-10 09:02:20	ga_ls7e_ard_3-2-0_099069_2021-11-09_final
2021-11-10 09:03:08	ga_ls7e_ard_3-2-0_099071_2021-11-09_final
2021-11-12 10:34:14	ga_ls7e_ard_3-2-1_113083_2021-11-12_final
2021-11-14 08:42:48	ga_ls7e_ard_3-2-1_095083_2021-11-13_final
2021-11-17 09:13:49	ga_ls7e_ard_3-2-1_100084_2021-11-16_final
2021-11-23 10:14:13	ga_ls7e_ard_3-2-1_110082_2021-11-23_final
2021-11-26 10:42:27	ga_ls7e_ard_3-2-1_115076_2021-11-26_final
2021-11-27 08:13:27	ga_ls7e_ard_3-2-1_090090_2021-11-26_final
2021-12-06 09:39:19	ga_ls7e_ard_3-2-1_105075_2021-12-06_final
2021-12-09 08:30:39	ga_ls7e_ard_3-2-1_094074_2021-12-08_final
2021-12-09 10:08:20	ga_ls7e_ard_3-2-1_110071_2021-12-09_final
2021-12-13 08:06:45	ga_ls7e_ard_3-2-1_090077_2021-12-12_final
2021-12-22 09:38:11	ga_ls7e_ard_3-2-1_105076_2021-12-22_final
2022-01-04 09:03:58	ga_ls7e_ard_3-2-1_100071_2022-01-03_final
2022-01-07 09:35:47	ga_ls7e_ard_3-2-1_105074_2022-01-07_final
2022-01-14 09:39:19	ga_ls7e_ard_3-2-1_106069_2022-01-14_final
2022-01-15 10:28:04	ga_ls7e_ard_3-2-1_113083_2022-01-15_final
2022-01-17 08:36:38	ga_ls7e_ard_3-2-1_095083_2022-01-16_final
2022-01-26 08:26:00	ga_ls7e_ard_3-2-1_094074_2022-01-25_final
2022-01-26 10:04:04	ga_ls7e_ard_3-2-1_110072_2022-01-26_final
2022-02-07 10:28:23	ga_ls7e_ard_3-2-1_114074_2022-02-07_final
2022-02-10 09:17:42	ga_ls7e_ard_3-2-1_103068_2022-02-09_final
2022-02-18 10:06:20	ga_ls7e_ard_3-2-1_111068_2022-02-18_final
2022-02-20 09:54:59	ga_ls7e_ard_3-2-1_109071_2022-02-20_final
2022-02-23 10:29:35	ga_ls7e_ard_3-2-1_114081_2022-02-23_final
2022-03-02 08:52:37	ga_ls7e_ard_3-2-1_099072_2022-03-01_final
2022-03-19 08:01:41	ga_ls7e_ard_3-2-1_090088_2022-03-18_final
2022-03-24 08:19:22	ga_ls7e_ard_3-2-1_093087_2022-03-23_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