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
1999-08-14 09:44:04	ga_ls7e_ard_3-0-0_095084_1999-08-14_final
2000-02-06 09:43:57	ga_ls7e_ard_3-0-0_095084_2000-02-06_final
2000-04-26 09:43:31	ga_ls7e_ard_3-0-0_095084_2000-04-26_final
2001-04-13 09:41:19	ga_ls7e_ard_3-0-0_095084_2001-04-13_final
2001-08-03 09:41:06	ga_ls7e_ard_3-0-0_095086_2001-08-03_final
2002-02-27 09:39:45	ga_ls7e_ard_3-0-0_095083_2002-02-27_final
2002-09-07 09:39:34	ga_ls7e_ard_3-0-0_095085_2002-09-07_final
2002-09-07 09:39:58	ga_ls7e_ard_3-0-0_095086_2002-09-07_final
2003-05-21 09:40:39	ga_ls7e_ard_3-0-0_095086_2003-05-21_final
2003-09-26 09:40:35	ga_ls7e_ard_3-0-0_095087_2003-09-26_final
2004-12-17 09:40:00	ga_ls7e_ard_3-0-0_095083_2004-12-17_final
2006-09-02 09:42:00	ga_ls7e_ard_3-0-0_095087_2006-09-02_final
2006-12-07 09:40:55	ga_ls7e_ard_3-0-0_095083_2006-12-07_final
2008-03-31 09:41:20	ga_ls7e_ard_3-0-0_095084_2008-03-31_final
2010-01-16 09:43:55	ga_ls7e_ard_3-0-0_095087_2010-01-16_final
2010-02-17 09:43:07	ga_ls7e_ard_3-0-0_095084_2010-02-17_final
2012-05-13 09:45:54	ga_ls7e_ard_3-0-0_095084_2012-05-13_final
2013-08-20 09:46:56	ga_ls7e_ard_3-0-0_095085_2013-08-20_final
2013-11-08 09:46:33	ga_ls7e_ard_3-0-0_095082_2013-11-08_final
2016-03-05 09:52:00	ga_ls7e_ard_3-0-0_095081_2016-03-05_final
2019-01-25 09:44:52	ga_ls7e_ard_3-0-0_095082_2019-01-25_final
2019-02-10 09:44:47	ga_ls7e_ard_3-0-0_095083_2019-02-10_final
2019-03-30 09:44:02	ga_ls7e_ard_3-0-0_095085_2019-03-30_final
2020-03-16 09:29:01	ga_ls7e_ard_3-1-0_095086_2020-03-15_final
2020-12-13 09:10:16	ga_ls7e_ard_3-1-0_095082_2020-12-12_final
2021-01-30 09:03:38	ga_ls7e_ard_3-2-0_095074_2021-01-29_final
2021-02-08 08:59:35	ga_ls7e_ard_3-2-0_094081_2021-02-07_final
2021-02-11 11:08:20	ga_ls7e_ard_3-2-0_115079_2021-02-11_final
2021-02-15 10:38:32	ga_ls7e_ard_3-2-0_111067_2021-02-15_final
2021-02-19 10:18:41	ga_ls7e_ard_3-2-0_107080_2021-02-19_final
2021-02-21 08:29:18	ga_ls7e_ard_3-2-0_089085_2021-02-20_final
2021-02-24 08:56:46	ga_ls7e_ard_3-2-0_094077_2021-02-23_final
2021-02-28 10:08:38	ga_ls7e_ard_3-2-0_106072_2021-02-28_final
2021-03-31 09:24:54	ga_ls7e_ard_3-2-0_099077_2021-03-30_final
2021-04-01 08:32:23	ga_ls7e_ard_3-2-0_090085_2021-03-31_final
2021-04-01 08:33:35	ga_ls7e_ard_3-2-0_090088_2021-03-31_final
2021-04-17 08:31:27	ga_ls7e_ard_3-2-0_090086_2021-04-16_final
2021-04-26 10:01:47	ga_ls7e_ard_3-2-0_105082_2021-04-26_final
2021-05-03 08:27:42	ga_ls7e_ard_3-2-0_090080_2021-05-02_final
2021-05-14 09:44:44	ga_ls7e_ard_3-2-0_103074_2021-05-14_final
2021-05-31 10:27:20	ga_ls7e_ard_3-2-0_110076_2021-05-31_final
2021-06-07 10:29:21	ga_ls7e_ard_3-2-0_111067_2021-06-07_final
2021-06-10 09:25:07	ga_ls7e_ard_3-2-0_100077_2021-06-09_final
2021-06-10 09:27:31	ga_ls7e_ard_3-2-0_100083_2021-06-09_final
2021-06-26 09:23:48	ga_ls7e_ard_3-2-0_100077_2021-06-25_final
2021-06-27 10:04:11	ga_ls7e_ard_3-2-0_107070_2021-06-27_final
2021-06-28 09:13:40	ga_ls7e_ard_3-2-0_098083_2021-06-27_final
2021-07-07 10:39:14	ga_ls7e_ard_3-2-0_113067_2021-07-07_final
2021-07-16 09:00:59	ga_ls7e_ard_3-2-0_096086_2021-07-15_final
2021-07-30 10:43:26	ga_ls7e_ard_3-2-0_114067_2021-07-30_final
2021-07-31 08:13:14	ga_ls7e_ard_3-2-0_089078_2021-07-30_final
2021-08-10 10:30:42	ga_ls7e_ard_3-2-0_111084_2021-08-10_final
2021-08-12 10:17:21	ga_ls7e_ard_3-2-0_109082_2021-08-12_final
2021-08-15 10:42:00	ga_ls7e_ard_3-2-0_114067_2021-08-15_final
2021-08-19 10:19:43	ga_ls7e_ard_3-2-0_110074_2021-08-19_final
2021-08-23 08:20:11	ga_ls7e_ard_3-2-0_090085_2021-08-22_final
2021-08-24 09:01:21	ga_ls7e_ard_3-2-0_097080_2021-08-23_final
2021-08-28 08:33:54	ga_ls7e_ard_3-2-0_093074_2021-08-27_final
2021-08-29 09:18:16	ga_ls7e_ard_3-2-0_100077_2021-08-28_final
2021-08-30 10:03:26	ga_ls7e_ard_3-2-0_107082_2021-08-30_final
2021-08-31 09:02:32	ga_ls7e_ard_3-2-0_098069_2021-08-30_final
2021-09-01 09:47:19	ga_ls7e_ard_3-2-0_105073_2021-09-01_final
2021-09-08 08:16:48	ga_ls7e_ard_3-2-0_090080_2021-09-07_final
2021-09-24 08:15:22	ga_ls7e_ard_3-2-0_090080_2021-09-23_final
2021-10-01 09:59:48	ga_ls7e_ard_3-2-0_107080_2021-10-01_final
2021-10-08 10:01:23	ga_ls7e_ard_3-2-0_108070_2021-10-08_final
2021-10-14 09:22:58	ga_ls7e_ard_3-2-0_102068_2021-10-13_final
2021-10-19 08:07:46	ga_ls7e_ard_3-2-0_089082_2021-10-18_final
2021-10-20 08:46:33	ga_ls7e_ard_3-2-0_096071_2021-10-19_final
2021-10-22 10:11:17	ga_ls7e_ard_3-2-0_110067_2021-10-22_final
2021-11-06 09:30:37	ga_ls7e_ard_3-2-0_103077_2021-11-06_final
2021-11-09 08:25:33	ga_ls7e_ard_3-2-0_092085_2021-11-08_final
2021-11-17 09:09:01	ga_ls7e_ard_3-2-1_100072_2021-11-16_final
2021-11-18 08:16:54	ga_ls7e_ard_3-2-1_091081_2021-11-17_final
2021-11-19 08:58:52	ga_ls7e_ard_3-2-1_098078_2021-11-18_final
2021-11-20 09:40:01	ga_ls7e_ard_3-2-1_105073_2021-11-20_final
2021-11-20 09:40:49	ga_ls7e_ard_3-2-1_105075_2021-11-20_final
2021-11-25 10:01:40	ga_ls7e_ard_3-2-1_108082_2021-11-25_final
2021-12-09 08:30:39	ga_ls7e_ard_3-2-1_094074_2021-12-08_final
2021-12-13 08:09:33	ga_ls7e_ard_3-2-1_090084_2021-12-12_final
2021-12-13 09:43:38	ga_ls7e_ard_3-2-1_106072_2021-12-13_final
2021-12-16 10:13:51	ga_ls7e_ard_3-2-1_111071_2021-12-16_final
2021-12-18 08:26:24	ga_ls7e_ard_3-2-1_093081_2021-12-17_final
2021-12-18 10:06:05	ga_ls7e_ard_3-2-1_109083_2021-12-18_final
2021-12-20 09:52:44	ga_ls7e_ard_3-2-1_107081_2021-12-20_final
2022-01-02 09:20:31	ga_ls7e_ard_3-2-1_102081_2022-01-01_final
2022-01-07 09:38:10	ga_ls7e_ard_3-2-1_105080_2022-01-07_final
2022-01-10 10:07:12	ga_ls7e_ard_3-2-1_110076_2022-01-10_final
2022-01-14 08:05:13	ga_ls7e_ard_3-2-1_090081_2022-01-13_final
2022-01-15 08:49:35	ga_ls7e_ard_3-2-1_097084_2022-01-14_final
2022-01-20 09:06:03	ga_ls7e_ard_3-2-1_100080_2022-01-19_final
2022-01-25 09:19:43	ga_ls7e_ard_3-2-1_103069_2022-01-24_final
2022-02-08 07:56:35	ga_ls7e_ard_3-2-1_089081_2022-02-07_final
2022-02-08 09:34:15	ga_ls7e_ard_3-2-1_105078_2022-02-08_final
2022-02-16 08:44:47	ga_ls7e_ard_3-2-1_097080_2022-02-15_final
2022-03-03 08:00:30	ga_ls7e_ard_3-2-1_090081_2022-03-02_final
2022-03-05 09:25:37	ga_ls7e_ard_3-2-1_104078_2022-03-04_final
2022-03-06 08:27:31	ga_ls7e_ard_3-2-1_095072_2022-03-05_final
2022-03-06 08:31:54	ga_ls7e_ard_3-2-1_095083_2022-03-05_final
2022-03-12 07:54:37	ga_ls7e_ard_3-2-1_089084_2022-03-11_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