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
2007-09-16 09:24:03	ga_ls7e_ard_3-0-0_092088_2007-09-15_final
2007-09-18 09:11:41	ga_ls7e_ard_3-0-0_090088_2007-09-17_final
2007-09-18 09:12:05	ga_ls7e_ard_3-0-0_090089_2007-09-17_final
2008-01-22 09:24:36	ga_ls7e_ard_3-0-0_092088_2008-01-21_final
2008-01-22 09:25:00	ga_ls7e_ard_3-0-0_092089_2008-01-21_final
2008-02-16 09:18:20	ga_ls7e_ard_3-0-0_091088_2008-02-15_final
2008-02-16 09:18:44	ga_ls7e_ard_3-0-0_091089_2008-02-15_final
2008-04-04 09:18:13	ga_ls7e_ard_3-0-0_091088_2008-04-03_final
2008-04-04 09:18:37	ga_ls7e_ard_3-0-0_091089_2008-04-03_final
2008-04-29 09:11:58	ga_ls7e_ard_3-1-0_090088_2008-04-28_final
2008-04-29 09:12:22	ga_ls7e_ard_3-0-0_090089_2008-04-28_final
2008-05-15 09:11:53	ga_ls7e_ard_3-0-0_090088_2008-05-14_final
2008-05-15 09:12:17	ga_ls7e_ard_3-0-0_090089_2008-05-14_final
2009-05-02 09:12:18	ga_ls7e_ard_3-0-0_090088_2009-05-01_final
2009-05-02 09:12:42	ga_ls7e_ard_3-0-0_090089_2009-05-01_final
2009-09-12 09:30:35	ga_ls7e_ard_3-0-0_093088_2009-09-12_final
2009-10-02 09:06:13	ga_ls7e_ard_3-0-0_089089_2009-10-01_final
2009-10-18 09:06:17	ga_ls7e_ard_3-0-0_089089_2009-10-17_final
2009-10-25 09:12:11	ga_ls7e_ard_3-0-0_090088_2009-10-24_final
2009-10-25 09:12:35	ga_ls7e_ard_3-0-0_090089_2009-10-24_final
2009-11-03 09:06:33	ga_ls7e_ard_3-0-0_089089_2009-11-02_final
2009-11-17 09:19:06	ga_ls7e_ard_3-0-0_091089_2009-11-16_final
2009-11-26 09:13:02	ga_ls7e_ard_3-0-0_090089_2009-11-25_final
2010-01-11 09:25:42	ga_ls7e_ard_3-0-0_092088_2010-01-10_final
2010-01-11 09:26:06	ga_ls7e_ard_3-0-0_092089_2010-01-10_final
2010-02-12 09:26:07	ga_ls7e_ard_3-0-0_092088_2010-02-11_final
2010-02-12 09:26:31	ga_ls7e_ard_3-0-0_092089_2010-02-11_final
2010-03-09 09:20:10	ga_ls7e_ard_3-0-0_091088_2010-03-08_final
2010-03-09 09:20:34	ga_ls7e_ard_3-0-0_091089_2010-03-08_final
2010-04-01 09:26:27	ga_ls7e_ard_3-0-0_092088_2010-03-31_final
2010-04-01 09:26:51	ga_ls7e_ard_3-0-0_092089_2010-03-31_final
2010-04-19 09:14:06	ga_ls7e_ard_3-0-0_090088_2010-04-18_final
2010-04-19 09:14:30	ga_ls7e_ard_3-0-0_090089_2010-04-18_final
2010-05-05 09:14:04	ga_ls7e_ard_3-0-0_090088_2010-05-04_final
2010-05-05 09:14:28	ga_ls7e_ard_3-0-0_090089_2010-05-04_final
2010-06-04 09:26:23	ga_ls7e_ard_3-0-0_092088_2010-06-03_final
2010-06-13 09:20:12	ga_ls7e_ard_3-0-0_091088_2010-06-12_final
2010-06-13 09:20:36	ga_ls7e_ard_3-0-0_091089_2010-06-12_final
2010-06-22 09:14:03	ga_ls7e_ard_3-0-0_090088_2010-06-21_final
2010-07-13 09:32:39	ga_ls7e_ard_3-0-0_093088_2010-07-13_final
2012-03-14 09:22:11	ga_ls7e_ard_3-0-0_091088_2012-03-13_final
2012-03-14 09:22:34	ga_ls7e_ard_3-0-0_091089_2012-03-13_final
2012-04-08 09:15:57	ga_ls7e_ard_3-0-0_090088_2012-04-07_final
2012-04-08 09:16:21	ga_ls7e_ard_3-0-0_090089_2012-04-07_final
2021-04-15 08:44:47	ga_ls7e_ard_3-2-0_092088_2021-04-14_final
2021-04-17 08:32:15	ga_ls7e_ard_3-2-0_090088_2021-04-16_final
2021-04-17 08:32:39	ga_ls7e_ard_3-2-0_090089_2021-04-16_final
2021-04-22 08:50:22	ga_ls7e_ard_3-2-0_093088_2021-04-21_final
2021-04-24 08:37:50	ga_ls7e_ard_3-2-0_091088_2021-04-23_final
2021-04-24 08:38:14	ga_ls7e_ard_3-2-0_091089_2021-04-23_final
2021-08-23 08:21:22	ga_ls7e_ard_3-2-0_090088_2021-08-22_final
2021-08-23 08:21:46	ga_ls7e_ard_3-2-0_090089_2021-08-22_final
2021-08-28 08:39:29	ga_ls7e_ard_3-2-0_093088_2021-08-27_final
2021-08-30 08:26:57	ga_ls7e_ard_3-2-0_091088_2021-08-29_final
2021-08-30 08:27:21	ga_ls7e_ard_3-2-0_091089_2021-08-29_final
2021-09-06 08:32:31	ga_ls7e_ard_3-2-0_092088_2021-09-05_final
2021-09-06 08:32:55	ga_ls7e_ard_3-2-0_092089_2021-09-05_final
2021-09-08 08:19:59	ga_ls7e_ard_3-2-0_090088_2021-09-07_final
2021-09-08 08:20:23	ga_ls7e_ard_3-2-0_090089_2021-09-07_final
2021-09-13 08:38:05	ga_ls7e_ard_3-2-0_093088_2021-09-12_final
2021-09-15 08:25:57	ga_ls7e_ard_3-2-0_091089_2021-09-14_final
2021-09-22 08:31:06	ga_ls7e_ard_3-2-0_092088_2021-09-21_final
2021-09-24 08:18:58	ga_ls7e_ard_3-2-0_090089_2021-09-23_final
2021-09-29 08:36:39	ga_ls7e_ard_3-2-0_093088_2021-09-28_final
2021-10-01 08:24:07	ga_ls7e_ard_3-2-0_091088_2021-09-30_final
2021-10-01 08:24:31	ga_ls7e_ard_3-2-0_091089_2021-09-30_final
2021-10-10 08:17:09	ga_ls7e_ard_3-2-0_090088_2021-10-09_final
2021-10-10 08:17:33	ga_ls7e_ard_3-2-0_090089_2021-10-09_final
2021-10-17 08:22:42	ga_ls7e_ard_3-2-0_091088_2021-10-16_final
2021-10-17 08:23:06	ga_ls7e_ard_3-2-0_091089_2021-10-16_final
2021-10-26 08:16:06	ga_ls7e_ard_3-2-0_090089_2021-10-25_final
2021-10-31 08:33:47	ga_ls7e_ard_3-2-0_093088_2021-10-30_final
2021-11-02 08:21:14	ga_ls7e_ard_3-2-0_091088_2021-11-01_final
2021-11-02 08:21:38	ga_ls7e_ard_3-2-0_091089_2021-11-01_final
2021-11-09 08:26:45	ga_ls7e_ard_3-2-0_092088_2021-11-08_final
2021-11-09 08:27:09	ga_ls7e_ard_3-2-0_092089_2021-11-08_final
2021-11-11 08:14:12	ga_ls7e_ard_3-2-0_090088_2021-11-10_final
2021-11-11 08:14:36	ga_ls7e_ard_3-2-0_090089_2021-11-10_final
2021-11-18 08:19:42	ga_ls7e_ard_3-2-1_091088_2021-11-17_final
2021-11-25 08:25:11	ga_ls7e_ard_3-2-1_092088_2021-11-24_final
2021-11-25 08:25:35	ga_ls7e_ard_3-2-1_092089_2021-11-24_final
2021-12-02 08:30:43	ga_ls7e_ard_3-2-1_093088_2021-12-01_final
2022-02-15 08:04:49	ga_ls7e_ard_3-2-1_090088_2022-02-14_final
2022-02-15 08:05:13	ga_ls7e_ard_3-2-1_090089_2022-02-14_final
2022-02-22 08:10:20	ga_ls7e_ard_3-2-1_091088_2022-02-21_final
2022-02-22 08:10:44	ga_ls7e_ard_3-2-1_091089_2022-02-21_final
2022-03-01 08:16:15	ga_ls7e_ard_3-2-1_092089_2022-02-28_final
2022-03-03 08:03:17	ga_ls7e_ard_3-2-1_090088_2022-03-02_final
2022-03-03 08:03:41	ga_ls7e_ard_3-2-1_090089_2022-03-02_final
2022-03-08 08:21:20	ga_ls7e_ard_3-2-1_093088_2022-03-07_final
2022-03-10 08:08:47	ga_ls7e_ard_3-2-1_091088_2022-03-09_final
2022-03-10 08:09:11	ga_ls7e_ard_3-2-1_091089_2022-03-09_final
2022-03-17 08:14:38	ga_ls7e_ard_3-2-1_092089_2022-03-16_final
2022-03-19 08:01:41	ga_ls7e_ard_3-2-1_090088_2022-03-18_final
2022-03-19 08:02:05	ga_ls7e_ard_3-2-1_090089_2022-03-18_final
2022-03-26 08:07:13	ga_ls7e_ard_3-2-1_091088_2022-03-25_final
2022-03-26 08:07:37	ga_ls7e_ard_3-2-1_091089_2022-03-25_final
2022-04-02 08:12:43	ga_ls7e_ard_3-2-1_092088_2022-04-01_final
2022-04-02 08:13:07	ga_ls7e_ard_3-2-1_092089_2022-04-01_final
2022-04-04 08:00:10	ga_ls7e_ard_3-2-1_090088_2022-04-03_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