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
2014-06-17 10:52:11	ga_ls7e_ard_3-0-0_106073_2014-06-17_final
2014-07-03 10:52:18	ga_ls7e_ard_3-0-0_106073_2014-07-03_final
2014-07-19 10:52:19	ga_ls7e_ard_3-0-0_106073_2014-07-19_final
2014-09-05 10:52:26	ga_ls7e_ard_3-0-0_106073_2014-09-05_final
2014-10-23 10:52:52	ga_ls7e_ard_3-0-0_106073_2014-10-23_final
2015-01-11 10:53:21	ga_ls7e_ard_3-0-0_106073_2015-01-11_final
2015-01-27 10:53:25	ga_ls7e_ard_3-0-0_106073_2015-01-27_final
2015-04-01 10:53:51	ga_ls7e_ard_3-0-0_106073_2015-04-01_final
2015-05-03 10:54:06	ga_ls7e_ard_3-0-0_106073_2015-05-03_final
2015-05-19 10:54:14	ga_ls7e_ard_3-0-0_106073_2015-05-19_final
2015-07-22 10:54:32	ga_ls7e_ard_3-0-0_106073_2015-07-22_final
2015-09-24 10:54:45	ga_ls7e_ard_3-0-0_106073_2015-09-24_final
2015-10-10 10:54:53	ga_ls7e_ard_3-0-0_106073_2015-10-10_final
2015-12-13 10:55:56	ga_ls7e_ard_3-0-0_106073_2015-12-13_final
2016-02-15 10:56:39	ga_ls7e_ard_3-0-0_106073_2016-02-15_final
2016-05-21 10:57:13	ga_ls7e_ard_3-0-0_106073_2016-05-21_final
2016-08-25 10:57:27	ga_ls7e_ard_3-0-0_106073_2016-08-25_final
2016-09-10 10:57:29	ga_ls7e_ard_3-0-0_106073_2016-09-10_final
2016-09-26 10:57:32	ga_ls7e_ard_3-0-0_106073_2016-09-26_final
2016-10-12 10:57:32	ga_ls7e_ard_3-0-0_106073_2016-10-12_final
2016-10-28 10:57:28	ga_ls7e_ard_3-0-0_106073_2016-10-28_final
2016-11-13 10:57:21	ga_ls7e_ard_3-0-0_106073_2016-11-13_final
2016-11-29 10:57:18	ga_ls7e_ard_3-0-0_106073_2016-11-29_final
2016-12-15 10:57:13	ga_ls7e_ard_3-0-0_106073_2016-12-15_final
2016-12-31 10:57:06	ga_ls7e_ard_3-0-0_106073_2016-12-31_final
2017-02-01 10:56:47	ga_ls7e_ard_3-0-0_106073_2017-02-01_final
2017-02-17 10:56:45	ga_ls7e_ard_3-0-0_106073_2017-02-17_final
2017-03-05 10:56:54	ga_ls7e_ard_3-0-0_106073_2017-03-05_final
2017-03-21 10:56:59	ga_ls7e_ard_3-0-0_106073_2017-03-21_final
2017-04-06 10:57:03	ga_ls7e_ard_3-0-0_106073_2017-04-06_final
2017-04-22 10:57:11	ga_ls7e_ard_3-0-0_106073_2017-04-22_final
2017-05-24 10:57:17	ga_ls7e_ard_3-0-0_106073_2017-05-24_final
2017-06-09 10:57:23	ga_ls7e_ard_3-0-0_106073_2017-06-09_final
2017-06-25 10:57:26	ga_ls7e_ard_3-0-0_106073_2017-06-25_final
2017-07-11 10:57:27	ga_ls7e_ard_3-0-0_106073_2017-07-11_final
2017-07-27 10:57:26	ga_ls7e_ard_3-0-0_106073_2017-07-27_final
2017-08-12 10:57:23	ga_ls7e_ard_3-0-0_106073_2017-08-12_final
2017-08-28 10:57:24	ga_ls7e_ard_3-0-0_106073_2017-08-28_final
2017-09-13 10:57:22	ga_ls7e_ard_3-0-0_106073_2017-09-13_final
2017-09-29 10:57:23	ga_ls7e_ard_3-0-0_106073_2017-09-29_final
2017-10-15 10:57:25	ga_ls7e_ard_3-0-0_106073_2017-10-15_final
2017-10-31 10:57:25	ga_ls7e_ard_3-0-0_106073_2017-10-31_final
2017-11-16 10:57:22	ga_ls7e_ard_3-0-0_106073_2017-11-16_final
2017-12-02 10:57:16	ga_ls7e_ard_3-0-0_106073_2017-12-02_final
2017-12-18 10:57:07	ga_ls7e_ard_3-0-0_106073_2017-12-18_final
2018-01-19 10:56:41	ga_ls7e_ard_3-0-0_106073_2018-01-19_final
2018-02-04 10:56:25	ga_ls7e_ard_3-0-0_106073_2018-02-04_final
2018-03-08 10:56:05	ga_ls7e_ard_3-0-0_106073_2018-03-08_final
2018-03-24 10:55:52	ga_ls7e_ard_3-0-0_106073_2018-03-24_final
2018-04-09 10:55:38	ga_ls7e_ard_3-0-0_106073_2018-04-09_final
2018-04-25 10:55:21	ga_ls7e_ard_3-0-0_106073_2018-04-25_final
2018-05-11 10:55:04	ga_ls7e_ard_3-0-0_106073_2018-05-11_final
2018-05-27 10:54:49	ga_ls7e_ard_3-0-0_106073_2018-05-27_final
2018-06-12 10:54:33	ga_ls7e_ard_3-0-0_106073_2018-06-12_final
2018-06-28 10:54:15	ga_ls7e_ard_3-0-0_106073_2018-06-28_final
2018-07-14 10:53:56	ga_ls7e_ard_3-0-0_106073_2018-07-14_final
2018-07-30 10:53:39	ga_ls7e_ard_3-0-0_106073_2018-07-30_final
2018-08-15 10:53:21	ga_ls7e_ard_3-0-0_106073_2018-08-15_final
2018-08-31 10:53:02	ga_ls7e_ard_3-0-0_106073_2018-08-31_final
2018-09-16 10:52:41	ga_ls7e_ard_3-0-0_106073_2018-09-16_final
2018-10-02 10:52:18	ga_ls7e_ard_3-0-0_106073_2018-10-02_final
2018-10-18 10:51:55	ga_ls7e_ard_3-0-0_106073_2018-10-18_final
2018-11-03 10:51:34	ga_ls7e_ard_3-0-0_106073_2018-11-03_final
2018-11-19 10:51:12	ga_ls7e_ard_3-0-0_106073_2018-11-19_final
2019-05-30 10:44:58	ga_ls7e_ard_3-0-0_106073_2019-05-30_final
2019-07-01 10:43:48	ga_ls7e_ard_3-0-0_106073_2019-07-01_final
2019-08-02 10:42:33	ga_ls7e_ard_3-0-0_106073_2019-08-02_final
2019-08-18 10:41:53	ga_ls7e_ard_3-0-0_106073_2019-08-18_final
2019-09-19 10:40:29	ga_ls7e_ard_3-1-0_106073_2019-09-19_final
2019-11-22 10:37:41	ga_ls7e_ard_3-1-0_106073_2019-11-22_final
2020-03-13 10:31:58	ga_ls7e_ard_3-1-0_106073_2020-03-13_final
2020-03-29 10:31:05	ga_ls7e_ard_3-1-0_106073_2020-03-29_final
2020-05-16 10:28:14	ga_ls7e_ard_3-1-0_106073_2020-05-16_final
2020-07-19 10:24:25	ga_ls7e_ard_3-1-0_106073_2020-07-19_final
2020-11-08 10:17:10	ga_ls7e_ard_3-1-0_106073_2020-11-08_final
2021-02-12 10:10:15	ga_ls7e_ard_3-2-0_106073_2021-02-12_final
2021-02-28 10:09:02	ga_ls7e_ard_3-2-0_106073_2021-02-28_final
2021-03-16 10:07:46	ga_ls7e_ard_3-2-0_106073_2021-03-16_final
2021-04-01 10:06:28	ga_ls7e_ard_3-2-0_106073_2021-04-01_final
2021-04-17 10:05:09	ga_ls7e_ard_3-2-0_106073_2021-04-17_final
2021-05-03 10:03:48	ga_ls7e_ard_3-2-0_106073_2021-05-03_final
2021-05-19 10:02:27	ga_ls7e_ard_3-2-0_106073_2021-05-19_final
2021-06-04 10:01:05	ga_ls7e_ard_3-2-0_106073_2021-06-04_final
2021-06-20 09:59:47	ga_ls7e_ard_3-2-0_106073_2021-06-20_final
2021-07-06 09:58:27	ga_ls7e_ard_3-2-0_106073_2021-07-06_final
2021-07-22 09:57:05	ga_ls7e_ard_3-2-0_106073_2021-07-22_final
2021-08-07 09:55:40	ga_ls7e_ard_3-2-0_106073_2021-08-07_final
2021-08-23 09:54:16	ga_ls7e_ard_3-2-0_106073_2021-08-23_final
2021-09-08 09:52:53	ga_ls7e_ard_3-2-0_106073_2021-09-08_final
2021-09-24 09:51:27	ga_ls7e_ard_3-2-0_106073_2021-09-24_final
2021-10-10 09:50:02	ga_ls7e_ard_3-2-0_106073_2021-10-10_final
2021-10-26 09:48:36	ga_ls7e_ard_3-2-0_106073_2021-10-26_final
2021-11-11 09:47:05	ga_ls7e_ard_3-2-0_106073_2021-11-11_final
2021-11-27 09:45:32	ga_ls7e_ard_3-2-1_106073_2021-11-27_final
2021-12-13 09:44:02	ga_ls7e_ard_3-2-1_106073_2021-12-13_final
2021-12-29 09:42:27	ga_ls7e_ard_3-2-1_106073_2021-12-29_final
2022-01-14 09:40:54	ga_ls7e_ard_3-2-1_106073_2022-01-14_final
2022-02-15 09:37:43	ga_ls7e_ard_3-2-1_106073_2022-02-15_final
2022-03-03 09:36:11	ga_ls7e_ard_3-2-1_106073_2022-03-03_final
2022-03-19 09:34:35	ga_ls7e_ard_3-2-1_106073_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