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
1999-11-30 11:45:11	ga_ls7e_ard_3-0-0_115078_1999-11-30_final
2000-02-02 11:45:35	ga_ls7e_ard_3-0-0_115079_2000-02-02_final
2000-07-11 11:44:18	ga_ls7e_ard_3-0-0_115079_2000-07-11_final
2000-09-13 11:43:26	ga_ls7e_ard_3-0-0_115079_2000-09-13_final
2000-10-15 11:42:30	ga_ls7e_ard_3-0-0_115078_2000-10-15_final
2000-10-15 11:42:54	ga_ls7e_ard_3-0-0_115079_2000-10-15_final
2001-02-20 11:43:12	ga_ls7e_ard_3-0-0_115079_2001-02-20_final
2001-04-25 11:42:52	ga_ls7e_ard_3-0-0_115079_2001-04-25_final
2001-12-05 11:40:52	ga_ls7e_ard_3-0-0_115078_2001-12-05_final
2002-07-01 11:40:50	ga_ls7e_ard_3-0-0_115078_2002-07-01_final
2002-07-17 11:41:08	ga_ls7e_ard_3-0-0_115079_2002-07-17_final
2003-03-30 11:41:30	ga_ls7e_ard_3-0-0_115079_2003-03-30_final
2006-07-28 11:42:30	ga_ls7e_ard_3-0-0_115079_2006-07-28_final
2007-07-31 11:42:32	ga_ls7e_ard_3-0-0_115078_2007-07-31_final
2009-04-15 11:42:45	ga_ls7e_ard_3-0-0_115078_2009-04-15_final
2010-12-30 11:45:33	ga_ls7e_ard_3-0-0_115078_2010-12-30_final
2012-06-10 11:46:46	ga_ls7e_ard_3-0-0_115078_2012-06-10_final
2015-02-27 11:51:15	ga_ls7e_ard_3-0-0_115078_2015-02-27_final
2017-12-17 11:54:45	ga_ls7e_ard_3-0-0_115078_2017-12-17_final
2020-11-22 10:27:21	ga_ls7e_ard_3-1-0_108070_2020-11-22_final
2020-11-24 10:16:27	ga_ls7e_ard_3-1-0_106074_2020-11-24_final
2020-12-17 08:42:51	ga_ls7e_ard_3-1-0_091076_2020-12-16_final
2020-12-24 08:49:18	ga_ls7e_ard_3-1-0_092078_2020-12-23_final
2020-12-26 10:14:05	ga_ls7e_ard_3-1-0_106074_2020-12-26_final
2020-12-29 10:48:46	ga_ls7e_ard_3-1-0_111084_2020-12-29_final
2021-01-08 09:41:29	ga_ls7e_ard_3-1-0_101072_2021-01-08_final
2021-01-17 09:35:04	ga_ls7e_ard_3-1-0_100073_2021-01-17_final
2021-01-18 08:40:35	ga_ls7e_ard_3-1-0_091076_2021-01-17_final
2021-01-26 09:32:38	ga_ls7e_ard_3-2-0_099084_2021-01-26_final
2021-01-29 10:01:19	ga_ls7e_ard_3-2-0_104079_2021-01-29_final
2021-02-15 10:38:55	ga_ls7e_ard_3-2-0_111068_2021-02-15_final
2021-02-17 10:31:36	ga_ls7e_ard_3-2-0_109081_2021-02-17_final
2021-02-20 11:00:41	ga_ls7e_ard_3-2-0_114077_2021-02-20_final
2021-02-21 08:26:30	ga_ls7e_ard_3-2-0_089078_2021-02-20_final
2021-02-22 09:06:53	ga_ls7e_ard_3-2-0_096071_2021-02-21_final
2021-02-22 10:50:10	ga_ls7e_ard_3-2-0_112082_2021-02-22_final
2021-02-28 08:34:56	ga_ls7e_ard_3-2-0_090085_2021-02-27_final
2021-02-28 08:35:20	ga_ls7e_ard_3-2-0_090086_2021-02-27_final
2021-03-18 09:58:27	ga_ls7e_ard_3-2-0_104081_2021-03-18_final
2021-04-01 10:10:04	ga_ls7e_ard_3-2-0_106082_2021-04-01_final
2021-04-06 08:46:07	ga_ls7e_ard_3-2-0_093074_2021-04-05_final
2021-04-16 09:21:10	ga_ls7e_ard_3-2-0_099071_2021-04-15_final
2021-05-02 09:19:49	ga_ls7e_ard_3-2-0_099071_2021-05-01_final
2021-05-06 10:38:50	ga_ls7e_ard_3-2-0_111084_2021-05-06_final
2021-05-12 08:20:23	ga_ls7e_ard_3-2-0_089079_2021-05-11_final
2021-06-03 09:21:54	ga_ls7e_ard_3-2-0_099083_2021-06-02_final
2021-06-12 10:53:04	ga_ls7e_ard_3-2-0_114081_2021-06-12_final
2021-06-16 10:25:14	ga_ls7e_ard_3-2-0_110074_2021-06-16_final
2021-07-09 10:26:42	ga_ls7e_ard_3-2-0_111067_2021-07-09_final
2021-07-09 10:27:06	ga_ls7e_ard_3-2-0_111068_2021-07-09_final
2021-07-20 10:10:24	ga_ls7e_ard_3-2-0_108075_2021-07-20_final
2021-07-25 08:48:50	ga_ls7e_ard_3-2-0_095073_2021-07-24_final
2021-08-05 10:06:37	ga_ls7e_ard_3-2-0_108069_2021-08-05_final
2021-08-24 09:03:21	ga_ls7e_ard_3-2-0_097085_2021-08-23_final
2021-08-26 10:22:55	ga_ls7e_ard_3-2-0_111068_2021-08-26_final
2021-08-27 09:32:00	ga_ls7e_ard_3-2-0_102080_2021-08-27_final
2021-08-27 09:32:24	ga_ls7e_ard_3-2-0_102081_2021-08-27_final
2021-09-04 08:41:28	ga_ls7e_ard_3-2-0_094079_2021-09-03_final
2021-09-06 08:27:44	ga_ls7e_ard_3-2-0_092076_2021-09-05_final
2021-09-07 09:08:55	ga_ls7e_ard_3-2-0_099071_2021-09-06_final
2021-09-07 09:14:06	ga_ls7e_ard_3-2-0_099084_2021-09-06_final
2021-09-14 09:16:52	ga_ls7e_ard_3-2-0_100077_2021-09-13_final
2021-10-10 08:13:57	ga_ls7e_ard_3-2-0_090080_2021-10-09_final
2021-10-10 09:50:26	ga_ls7e_ard_3-2-0_106074_2021-10-10_final
2021-10-13 10:18:41	ga_ls7e_ard_3-2-0_111068_2021-10-13_final
2021-10-19 08:06:58	ga_ls7e_ard_3-2-0_089080_2021-10-18_final
2021-10-19 08:07:22	ga_ls7e_ard_3-2-0_089081_2021-10-18_final
2021-10-20 08:52:32	ga_ls7e_ard_3-2-0_096086_2021-10-19_final
2021-10-24 08:24:15	ga_ls7e_ard_3-2-0_092078_2021-10-23_final
2021-11-01 09:14:57	ga_ls7e_ard_3-2-0_100083_2021-10-31_final
2021-11-04 08:05:54	ga_ls7e_ard_3-2-0_089081_2021-11-03_final
2021-11-10 09:02:20	ga_ls7e_ard_3-2-0_099069_2021-11-09_final
2021-11-23 10:14:37	ga_ls7e_ard_3-2-1_110083_2021-11-23_final
2021-12-06 08:02:26	ga_ls7e_ard_3-2-1_089080_2021-12-05_final
2021-12-11 08:19:18	ga_ls7e_ard_3-2-1_092077_2021-12-10_final
2021-12-14 08:52:42	ga_ls7e_ard_3-2-1_097084_2021-12-13_final
2021-12-16 08:40:57	ga_ls7e_ard_3-2-1_095086_2021-12-15_final
2021-12-22 08:01:18	ga_ls7e_ard_3-2-1_089081_2021-12-21_final
2021-12-25 08:29:54	ga_ls7e_ard_3-2-1_094076_2021-12-24_final
2021-12-27 08:21:20	ga_ls7e_ard_3-2-1_092086_2021-12-26_final
2021-12-29 08:09:58	ga_ls7e_ard_3-2-1_090089_2021-12-28_final
2021-12-31 09:33:29	ga_ls7e_ard_3-2-1_104082_2021-12-31_final
2022-01-01 10:13:27	ga_ls7e_ard_3-2-1_111074_2022-01-01_final
2022-01-12 08:16:58	ga_ls7e_ard_3-2-1_092079_2022-01-11_final
2022-01-17 08:37:50	ga_ls7e_ard_3-2-1_095086_2022-01-16_final
2022-01-19 08:21:41	ga_ls7e_ard_3-2-1_093077_2022-01-18_final
2022-01-19 09:59:22	ga_ls7e_ard_3-2-1_109074_2022-01-19_final
2022-01-23 09:35:28	ga_ls7e_ard_3-2-1_105077_2022-01-23_final
2022-01-24 08:40:56	ga_ls7e_ard_3-2-1_096080_2022-01-23_final
2022-01-30 08:03:40	ga_ls7e_ard_3-2-1_090081_2022-01-29_final
2022-02-07 08:53:30	ga_ls7e_ard_3-2-1_098084_2022-02-06_final
2022-02-15 08:03:37	ga_ls7e_ard_3-2-1_090085_2022-02-14_final
2022-02-22 08:05:57	ga_ls7e_ard_3-2-1_091077_2022-02-21_final
2022-03-03 07:59:42	ga_ls7e_ard_3-2-1_090079_2022-03-02_final
2022-03-05 09:21:38	ga_ls7e_ard_3-2-1_104068_2022-03-04_final
2022-03-06 08:29:54	ga_ls7e_ard_3-2-1_095078_2022-03-05_final
2022-03-12 09:27:07	ga_ls7e_ard_3-2-1_105068_2022-03-11_final
2022-03-14 09:14:57	ga_ls7e_ard_3-2-1_103069_2022-03-13_final
2022-03-19 07:58:30	ga_ls7e_ard_3-2-1_090080_2022-03-18_final
2022-03-21 09:22:02	ga_ls7e_ard_3-2-1_104073_2022-03-20_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