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
2015-01-02 09:24:59	ga_ls7e_ard_3-0-0_091084_2015-01-01_final
2015-01-18 09:25:02	ga_ls7e_ard_3-0-0_091084_2015-01-17_final
2015-02-03 09:25:09	ga_ls7e_ard_3-0-0_091084_2015-02-02_final
2015-02-19 09:25:13	ga_ls7e_ard_3-0-0_091084_2015-02-18_final
2015-03-07 09:25:21	ga_ls7e_ard_3-0-0_091084_2015-03-06_final
2015-04-08 09:25:38	ga_ls7e_ard_3-0-0_091084_2015-04-07_final
2015-06-27 09:26:05	ga_ls7e_ard_3-0-0_091084_2015-06-26_final
2015-07-29 09:26:14	ga_ls7e_ard_3-0-0_091084_2015-07-28_final
2015-11-02 09:26:56	ga_ls7e_ard_3-0-0_091084_2015-11-01_final
2015-11-18 09:27:14	ga_ls7e_ard_3-0-0_091084_2015-11-17_final
2015-12-04 09:27:26	ga_ls7e_ard_3-0-0_091084_2015-12-03_final
2015-12-20 09:27:43	ga_ls7e_ard_3-0-0_091084_2015-12-19_final
2016-01-21 09:28:10	ga_ls7e_ard_3-0-0_091084_2016-01-20_final
2016-06-13 09:29:01	ga_ls7e_ard_3-0-0_091084_2016-06-12_final
2016-06-29 09:29:02	ga_ls7e_ard_3-0-0_091084_2016-06-28_final
2016-07-15 09:29:02	ga_ls7e_ard_3-0-0_091084_2016-07-14_final
2016-07-31 09:29:05	ga_ls7e_ard_3-0-0_091084_2016-07-30_final
2016-09-01 09:29:09	ga_ls7e_ard_3-0-0_091084_2016-08-31_final
2016-11-04 09:29:07	ga_ls7e_ard_3-0-0_091084_2016-11-03_final
2016-12-22 09:28:52	ga_ls7e_ard_3-0-0_091084_2016-12-21_final
2017-01-07 09:28:42	ga_ls7e_ard_3-0-0_091084_2017-01-06_final
2017-01-23 09:28:31	ga_ls7e_ard_3-0-0_091084_2017-01-22_final
2017-02-24 09:28:30	ga_ls7e_ard_3-0-0_091084_2017-02-23_final
2017-04-29 09:28:54	ga_ls7e_ard_3-0-0_091084_2017-04-28_final
2017-05-15 09:28:58	ga_ls7e_ard_3-0-0_091084_2017-05-14_final
2017-05-31 09:29:01	ga_ls7e_ard_3-0-0_091084_2017-05-30_final
2017-07-02 09:29:07	ga_ls7e_ard_3-0-0_091084_2017-07-01_final
2017-07-18 09:29:08	ga_ls7e_ard_3-0-0_091084_2017-07-17_final
2017-08-03 09:29:06	ga_ls7e_ard_3-0-0_091084_2017-08-02_final
2017-08-19 09:29:05	ga_ls7e_ard_3-0-0_091084_2017-08-18_final
2017-09-04 09:29:05	ga_ls7e_ard_3-0-0_091084_2017-09-03_final
2017-09-20 09:29:03	ga_ls7e_ard_3-0-0_091084_2017-09-19_final
2017-10-06 09:29:05	ga_ls7e_ard_3-0-0_091084_2017-10-05_final
2017-10-22 09:29:07	ga_ls7e_ard_3-0-0_091084_2017-10-21_final
2017-11-07 09:29:06	ga_ls7e_ard_3-0-0_091084_2017-11-06_final
2017-11-23 09:29:01	ga_ls7e_ard_3-0-0_091084_2017-11-22_final
2017-12-09 09:28:54	ga_ls7e_ard_3-0-0_091084_2017-12-08_final
2018-01-10 09:28:31	ga_ls7e_ard_3-0-0_091084_2018-01-09_final
2018-01-26 09:28:16	ga_ls7e_ard_3-0-0_091084_2018-01-25_final
2018-02-11 09:28:02	ga_ls7e_ard_3-0-0_091084_2018-02-10_final
2018-02-27 09:27:52	ga_ls7e_ard_3-0-0_091084_2018-02-26_final
2018-03-15 09:27:41	ga_ls7e_ard_3-0-0_091084_2018-03-14_final
2018-03-31 09:27:27	ga_ls7e_ard_3-0-0_091084_2018-03-30_final
2018-05-02 09:26:55	ga_ls7e_ard_3-0-0_091084_2018-05-01_final
2018-05-18 09:26:39	ga_ls7e_ard_3-0-0_091084_2018-05-17_final
2018-06-03 09:26:24	ga_ls7e_ard_3-0-0_091084_2018-06-02_final
2018-06-19 09:26:06	ga_ls7e_ard_3-0-0_091084_2018-06-18_final
2018-07-05 09:25:47	ga_ls7e_ard_3-0-0_091084_2018-07-04_final
2018-07-21 09:25:30	ga_ls7e_ard_3-0-0_091084_2018-07-20_final
2018-08-06 09:25:13	ga_ls7e_ard_3-0-0_091084_2018-08-05_final
2018-08-22 09:24:54	ga_ls7e_ard_3-0-0_091084_2018-08-21_final
2018-09-07 09:24:34	ga_ls7e_ard_3-0-0_091084_2018-09-06_final
2018-09-23 09:24:13	ga_ls7e_ard_3-0-0_091084_2018-09-22_final
2018-10-09 09:23:49	ga_ls7e_ard_3-0-0_091084_2018-10-08_final
2018-10-25 09:23:27	ga_ls7e_ard_3-0-0_091084_2018-10-24_final
2018-11-10 09:23:06	ga_ls7e_ard_3-0-0_091084_2018-11-09_final
2018-11-26 09:22:43	ga_ls7e_ard_3-0-0_091084_2018-11-25_final
2018-12-12 09:22:17	ga_ls7e_ard_3-0-0_091084_2018-12-11_final
2018-12-28 09:21:49	ga_ls7e_ard_3-0-0_091084_2018-12-27_final
2019-01-13 09:21:20	ga_ls7e_ard_3-0-0_091084_2019-01-12_final
2019-01-29 09:20:48	ga_ls7e_ard_3-0-0_091084_2019-01-28_final
2019-02-14 09:20:20	ga_ls7e_ard_3-0-0_091084_2019-02-13_final
2019-03-02 09:19:51	ga_ls7e_ard_3-1-0_091084_2019-03-01_final
2019-04-03 09:18:47	ga_ls7e_ard_3-0-0_091084_2019-04-02_final
2019-04-19 09:18:13	ga_ls7e_ard_3-0-0_091084_2019-04-18_final
2019-05-05 09:17:37	ga_ls7e_ard_3-0-0_091084_2019-05-04_final
2019-05-21 09:16:59	ga_ls7e_ard_3-0-0_091084_2019-05-20_final
2019-06-06 09:16:25	ga_ls7e_ard_3-0-0_091084_2019-06-05_final
2019-06-22 09:15:50	ga_ls7e_ard_3-0-0_091084_2019-06-21_final
2019-07-24 09:14:36	ga_ls7e_ard_3-0-0_091084_2019-07-23_final
2019-08-25 09:13:16	ga_ls7e_ard_3-1-0_091084_2019-08-24_final
2019-09-10 09:12:35	ga_ls7e_ard_3-1-0_091084_2019-09-09_final
2019-09-26 09:11:52	ga_ls7e_ard_3-1-0_091084_2019-09-25_final
2019-10-28 09:10:32	ga_ls7e_ard_3-1-0_091084_2019-10-27_final
2019-11-13 09:09:48	ga_ls7e_ard_3-1-0_091084_2019-11-12_final
2019-11-29 09:09:03	ga_ls7e_ard_3-1-0_091084_2019-11-28_final
2019-12-15 09:08:15	ga_ls7e_ard_3-1-0_091084_2019-12-14_final
2019-12-31 09:07:25	ga_ls7e_ard_3-1-0_091084_2019-12-30_final
2020-01-16 09:06:37	ga_ls7e_ard_3-1-0_091084_2020-01-15_final
2020-02-01 09:05:49	ga_ls7e_ard_3-1-0_091084_2020-01-31_final
2020-02-17 09:05:00	ga_ls7e_ard_3-1-0_091084_2020-02-16_final
2020-03-20 09:03:16	ga_ls7e_ard_3-1-0_091084_2020-03-19_final
2020-04-05 09:02:22	ga_ls7e_ard_3-1-0_091084_2020-04-04_final
2020-04-21 09:01:27	ga_ls7e_ard_3-1-0_091084_2020-04-20_final
2020-05-07 09:00:29	ga_ls7e_ard_3-1-0_091084_2020-05-06_final
2020-05-23 08:59:30	ga_ls7e_ard_3-1-0_091084_2020-05-22_final
2020-06-08 08:58:34	ga_ls7e_ard_3-1-0_091084_2020-06-07_final
2020-06-24 08:57:37	ga_ls7e_ard_3-1-0_091084_2020-06-23_final
2020-07-10 08:56:40	ga_ls7e_ard_3-1-0_091084_2020-07-09_final
2020-08-11 08:54:40	ga_ls7e_ard_3-1-0_091084_2020-08-10_final
2020-08-27 08:53:39	ga_ls7e_ard_3-1-0_091084_2020-08-26_final
2020-09-12 08:52:35	ga_ls7e_ard_3-1-0_091084_2020-09-11_final
2020-09-28 08:51:33	ga_ls7e_ard_3-1-0_091084_2020-09-27_final
2020-10-14 08:50:31	ga_ls7e_ard_3-1-0_091084_2020-10-13_final
2020-10-30 08:49:28	ga_ls7e_ard_3-1-0_091084_2020-10-29_final
2020-11-15 08:48:23	ga_ls7e_ard_3-1-0_091084_2020-11-14_final
2020-12-01 08:47:14	ga_ls7e_ard_3-1-0_091084_2020-11-30_final
2021-01-02 08:44:54	ga_ls7e_ard_3-1-0_091084_2021-01-01_final
2021-01-18 08:43:46	ga_ls7e_ard_3-1-0_091084_2021-01-17_final
2021-02-03 08:42:36	ga_ls7e_ard_3-2-0_091084_2021-02-02_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