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
2012-05-11 09:56:38	ga_ls7e_ard_3-0-0_097080_2012-05-11_final
2012-06-12 09:56:20	ga_ls7e_ard_3-0-0_097080_2012-06-12_final
2012-07-14 09:56:43	ga_ls7e_ard_3-0-0_097080_2012-07-14_final
2012-08-15 09:57:05	ga_ls7e_ard_3-0-0_097080_2012-08-15_final
2012-08-31 09:57:14	ga_ls7e_ard_3-0-0_097080_2012-08-31_final
2012-09-16 09:57:24	ga_ls7e_ard_3-0-0_097080_2012-09-16_final
2012-11-19 09:57:56	ga_ls7e_ard_3-0-0_097080_2012-11-19_final
2012-12-05 09:57:55	ga_ls7e_ard_3-0-0_097080_2012-12-05_final
2012-12-21 09:58:05	ga_ls7e_ard_3-0-0_097080_2012-12-21_final
2013-01-06 09:58:07	ga_ls7e_ard_3-0-0_097080_2013-01-06_final
2013-01-22 09:58:08	ga_ls7e_ard_3-0-0_097080_2013-01-22_final
2013-05-30 09:57:43	ga_ls7e_ard_3-0-0_097080_2013-05-30_final
2013-07-01 09:57:29	ga_ls7e_ard_3-0-0_097080_2013-07-01_final
2013-07-17 09:57:20	ga_ls7e_ard_3-0-0_097080_2013-07-17_final
2013-08-18 09:57:16	ga_ls7e_ard_3-0-0_097080_2013-08-18_final
2013-09-03 09:57:28	ga_ls7e_ard_3-0-0_097080_2013-09-03_final
2013-10-21 09:58:00	ga_ls7e_ard_3-0-0_097080_2013-10-21_final
2013-11-06 09:58:05	ga_ls7e_ard_3-0-0_097080_2013-11-06_final
2013-12-08 09:58:18	ga_ls7e_ard_3-0-0_097080_2013-12-08_final
2014-01-09 09:58:23	ga_ls7e_ard_3-0-0_097080_2014-01-09_final
2014-01-25 09:58:43	ga_ls7e_ard_3-0-0_097080_2014-01-25_final
2014-02-26 09:58:40	ga_ls7e_ard_3-0-0_097080_2014-02-26_final
2014-03-14 09:58:48	ga_ls7e_ard_3-0-0_097080_2014-03-14_final
2014-03-30 09:58:55	ga_ls7e_ard_3-0-0_097080_2014-03-30_final
2014-04-15 09:59:01	ga_ls7e_ard_3-0-0_097080_2014-04-15_final
2014-05-01 09:59:10	ga_ls7e_ard_3-0-0_097080_2014-05-01_final
2014-05-17 09:59:17	ga_ls7e_ard_3-0-0_097080_2014-05-17_final
2014-06-02 09:59:21	ga_ls7e_ard_3-0-0_097080_2014-06-02_final
2014-06-18 09:59:21	ga_ls7e_ard_3-0-0_097080_2014-06-18_final
2014-07-04 09:59:28	ga_ls7e_ard_3-0-0_097080_2014-07-04_final
2014-07-20 09:59:30	ga_ls7e_ard_3-0-0_097080_2014-07-20_final
2014-08-05 09:59:36	ga_ls7e_ard_3-0-0_097080_2014-08-05_final
2014-08-21 09:59:35	ga_ls7e_ard_3-0-0_097080_2014-08-21_final
2014-09-06 09:59:36	ga_ls7e_ard_3-0-0_097080_2014-09-06_final
2014-09-22 09:59:41	ga_ls7e_ard_3-0-0_097080_2014-09-22_final
2014-10-08 09:59:54	ga_ls7e_ard_3-0-0_097080_2014-10-08_final
2014-10-24 10:00:03	ga_ls7e_ard_3-0-0_097080_2014-10-24_final
2014-11-09 10:00:12	ga_ls7e_ard_3-0-0_097080_2014-11-09_final
2014-11-25 10:00:15	ga_ls7e_ard_3-0-0_097080_2014-11-25_final
2014-12-27 10:00:29	ga_ls7e_ard_3-0-0_097080_2014-12-27_final
2015-01-28 10:00:36	ga_ls7e_ard_3-0-0_097080_2015-01-28_final
2015-02-13 10:00:36	ga_ls7e_ard_3-0-0_097080_2015-02-13_final
2015-03-01 10:00:49	ga_ls7e_ard_3-0-0_097080_2015-03-01_final
2015-03-17 10:00:56	ga_ls7e_ard_3-0-0_097080_2015-03-17_final
2015-04-02 10:01:02	ga_ls7e_ard_3-0-0_097080_2015-04-02_final
2015-05-04 10:01:17	ga_ls7e_ard_3-0-0_097080_2015-05-04_final
2015-06-05 10:01:31	ga_ls7e_ard_3-0-0_097080_2015-06-05_final
2015-06-21 10:01:34	ga_ls7e_ard_3-0-0_097080_2015-06-21_final
2015-07-07 10:01:39	ga_ls7e_ard_3-0-0_097080_2015-07-07_final
2015-08-08 10:01:46	ga_ls7e_ard_3-0-0_097080_2015-08-08_final
2015-09-09 10:01:51	ga_ls7e_ard_3-0-0_097080_2015-09-09_final
2015-09-25 10:01:55	ga_ls7e_ard_3-0-0_097080_2015-09-25_final
2015-10-11 10:02:04	ga_ls7e_ard_3-0-0_097080_2015-10-11_final
2015-10-27 10:02:21	ga_ls7e_ard_3-0-0_097080_2015-10-27_final
2015-11-12 10:02:37	ga_ls7e_ard_3-0-0_097080_2015-11-12_final
2015-11-28 10:02:50	ga_ls7e_ard_3-0-0_097080_2015-11-28_final
2015-12-14 10:03:07	ga_ls7e_ard_3-0-0_097080_2015-12-14_final
2015-12-30 10:03:19	ga_ls7e_ard_3-0-0_097080_2015-12-30_final
2016-01-15 10:03:35	ga_ls7e_ard_3-0-0_097080_2016-01-15_final
2016-01-31 10:03:45	ga_ls7e_ard_3-0-0_097080_2016-01-31_final
2016-02-16 10:03:50	ga_ls7e_ard_3-0-0_097080_2016-02-16_final
2016-03-03 10:03:56	ga_ls7e_ard_3-0-0_097080_2016-03-03_final
2016-03-19 10:04:04	ga_ls7e_ard_3-0-0_097080_2016-03-19_final
2016-04-04 10:04:07	ga_ls7e_ard_3-0-0_097080_2016-04-04_final
2016-04-20 10:04:16	ga_ls7e_ard_3-0-0_097080_2016-04-20_final
2016-05-22 10:04:23	ga_ls7e_ard_3-0-0_097080_2016-05-22_final
2016-06-07 10:04:29	ga_ls7e_ard_3-0-0_097080_2016-06-07_final
2016-07-09 10:04:31	ga_ls7e_ard_3-0-0_097080_2016-07-09_final
2016-07-25 10:04:33	ga_ls7e_ard_3-0-0_097080_2016-07-25_final
2017-01-17 10:04:05	ga_ls7e_ard_3-0-0_097080_2017-01-17_final
2017-03-22 10:04:10	ga_ls7e_ard_3-0-0_097080_2017-03-22_final
2017-04-07 10:04:14	ga_ls7e_ard_3-0-0_097080_2017-04-07_final
2017-04-23 10:04:21	ga_ls7e_ard_3-0-0_097080_2017-04-23_final
2017-07-12 10:04:37	ga_ls7e_ard_3-0-0_097080_2017-07-12_final
2017-07-28 10:04:36	ga_ls7e_ard_3-0-0_097080_2017-07-28_final
2017-11-01 10:04:35	ga_ls7e_ard_3-0-0_097080_2017-11-01_final
2018-09-17 09:59:50	ga_ls7e_ard_3-0-0_097080_2018-09-17_final
2021-03-17 09:14:52	ga_ls7e_ard_3-2-0_097080_2021-03-16_final
2021-04-02 09:13:34	ga_ls7e_ard_3-2-0_097080_2021-04-01_final
2021-04-18 09:12:14	ga_ls7e_ard_3-2-0_097080_2021-04-17_final
2021-05-04 09:10:53	ga_ls7e_ard_3-2-0_097080_2021-05-03_final
2021-05-20 09:09:32	ga_ls7e_ard_3-2-0_097080_2021-05-19_final
2021-06-05 09:08:11	ga_ls7e_ard_3-2-0_097080_2021-06-04_final
2021-06-21 09:06:53	ga_ls7e_ard_3-2-0_097080_2021-06-20_final
2021-07-07 09:05:32	ga_ls7e_ard_3-2-0_097080_2021-07-06_final
2021-07-23 09:04:10	ga_ls7e_ard_3-2-0_097080_2021-07-22_final
2021-08-08 09:02:46	ga_ls7e_ard_3-2-0_097080_2021-08-07_final
2021-08-24 09:01:21	ga_ls7e_ard_3-2-0_097080_2021-08-23_final
2021-09-09 08:59:58	ga_ls7e_ard_3-2-0_097080_2021-09-08_final
2021-09-25 08:58:32	ga_ls7e_ard_3-2-0_097080_2021-09-24_final
2021-10-11 08:57:08	ga_ls7e_ard_3-2-0_097080_2021-10-10_final
2021-10-27 08:55:41	ga_ls7e_ard_3-2-0_097080_2021-10-26_final
2021-11-28 08:52:37	ga_ls7e_ard_3-2-1_097080_2021-11-27_final
2021-12-14 08:51:07	ga_ls7e_ard_3-2-1_097080_2021-12-13_final
2021-12-30 08:49:32	ga_ls7e_ard_3-2-1_097080_2021-12-29_final
2022-01-15 08:47:59	ga_ls7e_ard_3-2-1_097080_2022-01-14_final
2022-01-31 08:46:26	ga_ls7e_ard_3-2-1_097080_2022-01-30_final
2022-02-16 08:44:47	ga_ls7e_ard_3-2-1_097080_2022-02-15_final
2022-03-04 08:43:15	ga_ls7e_ard_3-2-1_097080_2022-03-03_final
2022-03-20 08:41:40	ga_ls7e_ard_3-2-1_097080_2022-03-19_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