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 11:38:39	ga_ls7e_ard_3-0-0_114077_1999-08-19_final
1999-10-06 11:38:52	ga_ls7e_ard_3-0-0_114077_1999-10-06_final
1999-11-23 11:38:12	ga_ls7e_ard_3-0-0_114076_1999-11-23_final
1999-11-23 11:38:36	ga_ls7e_ard_3-0-0_114077_1999-11-23_final
1999-12-09 11:38:44	ga_ls7e_ard_3-0-0_114077_1999-12-09_final
2000-01-26 11:38:14	ga_ls7e_ard_3-0-0_114076_2000-01-26_final
2000-01-26 11:39:02	ga_ls7e_ard_3-0-0_114078_2000-01-26_final
2000-02-02 11:45:35	ga_ls7e_ard_3-0-0_115079_2000-02-02_final
2000-03-30 11:37:57	ga_ls7e_ard_3-1-0_114076_2000-03-30_final
2000-07-04 11:37:26	ga_ls7e_ard_3-0-0_114077_2000-07-04_final
2000-09-22 11:36:41	ga_ls7e_ard_3-0-0_114078_2000-09-22_final
2000-10-24 11:36:53	ga_ls7e_ard_3-0-0_114079_2000-10-24_final
2000-11-25 11:35:46	ga_ls7e_ard_3-0-0_114076_2000-11-25_final
2000-12-27 11:36:17	ga_ls7e_ard_3-0-0_114077_2000-12-27_final
2001-07-23 11:35:54	ga_ls7e_ard_3-0-0_114079_2001-07-23_final
2001-07-23 11:36:18	ga_ls7e_ard_3-0-0_114080_2001-07-23_final
2001-08-08 11:36:01	ga_ls7e_ard_3-0-0_114080_2001-08-08_final
2001-09-09 11:34:48	ga_ls7e_ard_3-0-0_114078_2001-09-09_final
2001-12-30 11:34:26	ga_ls7e_ard_3-0-0_114077_2001-12-30_final
2002-01-15 11:34:11	ga_ls7e_ard_3-0-0_114076_2002-01-15_final
2002-01-31 11:34:37	ga_ls7e_ard_3-0-0_114077_2002-01-31_final
2002-04-21 11:30:36	ga_ls7e_ard_3-0-0_114067_2002-04-21_final
2002-05-07 11:33:52	ga_ls7e_ard_3-0-0_114075_2002-05-07_final
2002-07-26 11:33:16	ga_ls7e_ard_3-0-0_114075_2002-07-26_final
2002-10-14 11:33:30	ga_ls7e_ard_3-0-0_114077_2002-10-14_final
2002-10-14 11:33:54	ga_ls7e_ard_3-0-0_114078_2002-10-14_final
2002-11-15 11:33:46	ga_ls7e_ard_3-0-0_114077_2002-11-15_final
2002-12-17 11:34:52	ga_ls7e_ard_3-0-0_114079_2002-12-17_final
2005-08-03 11:34:49	ga_ls7e_ard_3-0-0_114076_2005-08-03_final
2008-06-15 11:42:32	ga_ls7e_ard_3-0-0_115079_2008-06-15_final
2013-05-21 11:41:17	ga_ls7e_ard_3-0-0_114076_2013-05-21_final
2014-07-27 11:43:02	ga_ls7e_ard_3-0-0_114076_2014-07-27_final
2016-03-03 11:44:25	ga_ls7e_ard_3-0-0_113084_2016-03-03_final
2017-05-16 11:47:55	ga_ls7e_ard_3-0-0_114076_2017-05-16_final
2017-06-17 11:48:03	ga_ls7e_ard_3-0-0_114076_2017-06-17_final
2019-06-07 11:35:20	ga_ls7e_ard_3-0-0_114076_2019-06-07_final
2020-11-27 09:09:51	ga_ls7e_ard_3-1-0_095078_2020-11-26_final
2020-12-08 10:29:23	ga_ls7e_ard_3-1-0_108078_2020-12-08_final
2020-12-20 09:13:31	ga_ls7e_ard_3-1-0_096076_2020-12-19_final
2021-01-05 10:51:40	ga_ls7e_ard_3-1-0_112077_2021-01-05_final
2021-01-09 10:26:40	ga_ls7e_ard_3-1-0_108077_2021-01-09_final
2021-02-15 09:03:38	ga_ls7e_ard_3-2-0_095077_2021-02-14_final
2021-03-03 09:02:49	ga_ls7e_ard_3-2-0_095078_2021-03-02_final
2021-03-11 09:52:01	ga_ls7e_ard_3-2-0_103079_2021-03-11_final
2021-03-28 08:53:27	ga_ls7e_ard_3-2-0_094075_2021-03-27_final
2021-04-04 09:00:39	ga_ls7e_ard_3-2-0_095079_2021-04-03_final
2021-04-06 08:49:19	ga_ls7e_ard_3-2-0_093082_2021-04-05_final
2021-04-11 10:45:07	ga_ls7e_ard_3-2-0_112079_2021-04-11_final
2021-04-15 08:42:47	ga_ls7e_ard_3-2-0_092083_2021-04-14_final
2021-04-16 09:22:22	ga_ls7e_ard_3-2-0_099074_2021-04-15_final
2021-04-26 09:59:48	ga_ls7e_ard_3-2-0_105077_2021-04-26_final
2021-05-04 09:09:17	ga_ls7e_ard_3-2-0_097076_2021-05-03_final
2021-05-07 09:40:44	ga_ls7e_ard_3-2-0_102078_2021-05-07_final
2021-05-11 09:14:29	ga_ls7e_ard_3-2-0_098075_2021-05-10_final
2021-05-13 09:00:46	ga_ls7e_ard_3-2-0_096072_2021-05-12_final
2021-05-13 10:42:02	ga_ls7e_ard_3-2-0_112078_2021-05-13_final
2021-05-16 09:34:12	ga_ls7e_ard_3-2-0_101079_2021-05-16_final
2021-05-22 10:34:41	ga_ls7e_ard_3-2-0_111077_2021-05-22_final
2021-05-24 08:45:17	ga_ls7e_ard_3-2-0_093082_2021-05-23_final
2021-05-31 08:49:39	ga_ls7e_ard_3-2-0_094079_2021-05-30_final
2021-06-04 10:05:04	ga_ls7e_ard_3-2-0_106083_2021-06-04_final
2021-06-07 08:54:04	ga_ls7e_ard_3-2-0_095076_2021-06-06_final
2021-06-08 09:38:02	ga_ls7e_ard_3-2-0_102078_2021-06-08_final
2021-06-20 10:02:11	ga_ls7e_ard_3-2-0_106079_2021-06-20_final
2021-06-28 09:10:29	ga_ls7e_ard_3-2-0_098075_2021-06-27_final
2021-07-09 10:31:05	ga_ls7e_ard_3-2-0_111078_2021-07-09_final
2021-07-11 10:18:57	ga_ls7e_ard_3-2-0_109079_2021-07-11_final
2021-07-18 10:24:32	ga_ls7e_ard_3-2-0_110079_2021-07-18_final
2021-08-01 10:35:41	ga_ls7e_ard_3-2-0_112079_2021-08-01_final
2021-08-10 10:30:42	ga_ls7e_ard_3-2-0_111084_2021-08-10_final
2021-08-12 08:38:29	ga_ls7e_ard_3-2-0_093082_2021-08-11_final
2021-08-19 08:42:26	ga_ls7e_ard_3-2-0_094078_2021-08-18_final
2021-08-22 09:11:53	ga_ls7e_ard_3-2-0_099075_2021-08-21_final
2021-08-28 08:37:05	ga_ls7e_ard_3-2-0_093082_2021-08-27_final
2021-08-28 10:14:46	ga_ls7e_ard_3-2-0_109079_2021-08-28_final
2021-09-02 10:33:17	ga_ls7e_ard_3-2-0_112080_2021-09-02_final
2021-09-04 10:20:21	ga_ls7e_ard_3-2-0_110079_2021-09-04_final
2021-09-06 08:28:56	ga_ls7e_ard_3-2-0_092079_2021-09-05_final
2021-09-11 08:47:02	ga_ls7e_ard_3-2-0_095079_2021-09-10_final
2021-09-18 08:51:23	ga_ls7e_ard_3-2-0_096076_2021-09-17_final
2021-10-06 10:17:30	ga_ls7e_ard_3-2-0_110079_2021-10-06_final
2021-10-21 09:32:55	ga_ls7e_ard_3-2-0_103079_2021-10-21_final
2021-11-14 08:40:49	ga_ls7e_ard_3-2-1_095078_2021-11-13_final
2021-12-11 09:58:35	ga_ls7e_ard_3-2-1_108078_2021-12-11_final
2022-01-01 10:15:27	ga_ls7e_ard_3-2-1_111079_2022-01-01_final
2022-01-09 09:25:14	ga_ls7e_ard_3-2-1_103079_2022-01-08_final
2022-01-11 09:13:05	ga_ls7e_ard_3-2-1_101080_2022-01-10_final
2022-01-24 10:19:01	ga_ls7e_ard_3-2-1_112078_2022-01-24_final
2022-01-24 10:19:25	ga_ls7e_ard_3-2-1_112079_2022-01-24_final
2022-01-26 10:06:52	ga_ls7e_ard_3-2-1_110079_2022-01-26_final
2022-01-28 08:16:38	ga_ls7e_ard_3-2-1_092082_2022-01-27_final
2022-01-31 08:46:26	ga_ls7e_ard_3-2-1_097080_2022-01-30_final
2022-02-11 08:25:58	ga_ls7e_ard_3-2-1_094078_2022-02-10_final
2022-02-18 08:31:02	ga_ls7e_ard_3-2-1_095077_2022-02-17_final
2022-02-18 08:31:26	ga_ls7e_ard_3-2-1_095078_2022-02-17_final
2022-02-20 08:20:29	ga_ls7e_ard_3-2-1_093082_2022-02-19_final
2022-02-27 08:24:48	ga_ls7e_ard_3-2-1_094079_2022-02-26_final
2022-02-27 10:03:17	ga_ls7e_ard_3-2-1_110078_2022-02-27_final
2022-03-06 08:29:30	ga_ls7e_ard_3-2-1_095077_2022-03-05_final
2022-03-06 10:09:11	ga_ls7e_ard_3-2-1_111079_2022-03-06_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