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
2014-10-09 10:40:22	ga_ls7e_ard_3-0-0_104073_2014-10-09_final
2014-10-25 10:40:31	ga_ls7e_ard_3-0-0_104073_2014-10-25_final
2015-03-02 10:41:18	ga_ls7e_ard_3-0-0_104073_2015-03-02_final
2015-04-03 10:41:31	ga_ls7e_ard_3-0-0_104073_2015-04-03_final
2015-05-05 10:41:45	ga_ls7e_ard_3-0-0_104073_2015-05-05_final
2015-05-21 10:41:53	ga_ls7e_ard_3-0-0_104073_2015-05-21_final
2015-06-06 10:41:59	ga_ls7e_ard_3-0-0_104073_2015-06-06_final
2015-07-08 10:42:07	ga_ls7e_ard_3-0-0_104073_2015-07-08_final
2015-07-24 10:42:11	ga_ls7e_ard_3-0-0_104073_2015-07-24_final
2015-08-09 10:42:15	ga_ls7e_ard_3-0-0_104073_2015-08-09_final
2015-09-10 10:42:19	ga_ls7e_ard_3-0-0_104073_2015-09-10_final
2015-09-26 10:42:24	ga_ls7e_ard_3-0-0_104073_2015-09-26_final
2015-10-12 10:42:34	ga_ls7e_ard_3-0-0_104073_2015-10-12_final
2015-11-13 10:43:06	ga_ls7e_ard_3-0-0_104073_2015-11-13_final
2015-12-15 10:43:36	ga_ls7e_ard_3-0-0_104073_2015-12-15_final
2015-12-31 10:43:48	ga_ls7e_ard_3-0-0_104073_2015-12-31_final
2016-02-17 10:44:18	ga_ls7e_ard_3-0-0_104073_2016-02-17_final
2016-03-04 10:44:25	ga_ls7e_ard_3-0-0_104073_2016-03-04_final
2016-03-20 10:44:33	ga_ls7e_ard_3-0-0_104073_2016-03-20_final
2016-04-05 10:44:36	ga_ls7e_ard_3-0-0_104073_2016-04-05_final
2016-04-21 10:44:44	ga_ls7e_ard_3-0-0_104073_2016-04-21_final
2016-06-08 10:44:57	ga_ls7e_ard_3-0-0_104073_2016-06-08_final
2016-06-24 10:44:59	ga_ls7e_ard_3-0-0_104073_2016-06-24_final
2016-07-26 10:45:01	ga_ls7e_ard_3-0-0_104073_2016-07-26_final
2016-09-28 10:45:10	ga_ls7e_ard_3-0-0_104073_2016-09-28_final
2016-10-14 10:45:10	ga_ls7e_ard_3-0-0_104073_2016-10-14_final
2016-10-30 10:45:06	ga_ls7e_ard_3-0-0_104073_2016-10-30_final
2016-12-01 10:44:56	ga_ls7e_ard_3-0-0_104073_2016-12-01_final
2016-12-17 10:44:51	ga_ls7e_ard_3-0-0_104073_2016-12-17_final
2017-02-19 10:44:25	ga_ls7e_ard_3-0-0_104073_2017-02-19_final
2017-03-23 10:44:38	ga_ls7e_ard_3-0-0_104073_2017-03-23_final
2017-04-08 10:44:42	ga_ls7e_ard_3-0-0_104073_2017-04-08_final
2017-04-24 10:44:50	ga_ls7e_ard_3-0-0_104073_2017-04-24_final
2017-05-26 10:44:57	ga_ls7e_ard_3-0-0_104073_2017-05-26_final
2017-06-11 10:45:01	ga_ls7e_ard_3-0-0_104073_2017-06-11_final
2017-06-27 10:45:04	ga_ls7e_ard_3-0-0_104073_2017-06-27_final
2017-07-13 10:45:05	ga_ls7e_ard_3-0-0_104073_2017-07-13_final
2017-07-29 10:45:04	ga_ls7e_ard_3-0-0_104073_2017-07-29_final
2017-08-14 10:45:01	ga_ls7e_ard_3-0-0_104073_2017-08-14_final
2017-08-30 10:45:02	ga_ls7e_ard_3-0-0_104073_2017-08-30_final
2017-09-15 10:45:00	ga_ls7e_ard_3-0-0_104073_2017-09-15_final
2017-10-01 10:45:01	ga_ls7e_ard_3-0-0_104073_2017-10-01_final
2017-10-17 10:45:03	ga_ls7e_ard_3-0-0_104073_2017-10-17_final
2017-11-02 10:45:03	ga_ls7e_ard_3-0-0_104073_2017-11-02_final
2017-11-18 10:45:00	ga_ls7e_ard_3-0-0_104073_2017-11-18_final
2017-12-04 10:44:54	ga_ls7e_ard_3-0-0_104073_2017-12-04_final
2018-01-05 10:44:32	ga_ls7e_ard_3-0-0_104073_2018-01-05_final
2018-01-21 10:44:18	ga_ls7e_ard_3-0-0_104073_2018-01-21_final
2018-02-06 10:44:02	ga_ls7e_ard_3-0-0_104073_2018-02-06_final
2018-02-22 10:43:52	ga_ls7e_ard_3-0-0_104073_2018-02-22_final
2018-03-26 10:43:29	ga_ls7e_ard_3-0-0_104073_2018-03-26_final
2018-04-11 10:43:14	ga_ls7e_ard_3-0-0_104073_2018-04-11_final
2018-04-27 10:42:57	ga_ls7e_ard_3-0-0_104073_2018-04-27_final
2018-05-13 10:42:40	ga_ls7e_ard_3-0-0_104073_2018-05-13_final
2018-05-29 10:42:26	ga_ls7e_ard_3-0-0_104073_2018-05-29_final
2018-06-14 10:42:09	ga_ls7e_ard_3-0-0_104073_2018-06-14_final
2018-06-30 10:41:51	ga_ls7e_ard_3-0-0_104073_2018-06-30_final
2018-07-16 10:41:32	ga_ls7e_ard_3-0-0_104073_2018-07-16_final
2018-08-01 10:41:15	ga_ls7e_ard_3-0-0_104073_2018-08-01_final
2018-08-17 10:40:57	ga_ls7e_ard_3-0-0_104073_2018-08-17_final
2018-09-02 10:40:38	ga_ls7e_ard_3-0-0_104073_2018-09-02_final
2018-09-18 10:40:17	ga_ls7e_ard_3-0-0_104073_2018-09-18_final
2018-10-04 10:39:54	ga_ls7e_ard_3-0-0_104073_2018-10-04_final
2018-10-20 10:39:31	ga_ls7e_ard_3-0-0_104073_2018-10-20_final
2018-11-05 10:39:10	ga_ls7e_ard_3-0-0_104073_2018-11-05_final
2018-12-07 10:38:22	ga_ls7e_ard_3-0-0_104073_2018-12-07_final
2018-12-23 10:37:55	ga_ls7e_ard_3-0-0_104073_2018-12-23_final
2019-01-08 10:37:26	ga_ls7e_ard_3-0-0_104073_2019-01-08_final
2019-01-24 10:36:55	ga_ls7e_ard_3-0-0_104073_2019-01-24_final
2019-02-09 10:36:26	ga_ls7e_ard_3-0-0_104073_2019-02-09_final
2019-02-25 10:35:57	ga_ls7e_ard_3-1-0_104073_2019-02-25_final
2019-03-13 10:35:27	ga_ls7e_ard_3-1-0_104073_2019-03-13_final
2019-03-29 10:34:54	ga_ls7e_ard_3-1-0_104073_2019-03-29_final
2019-04-14 10:34:21	ga_ls7e_ard_3-0-0_104073_2019-04-14_final
2019-05-16 10:33:08	ga_ls7e_ard_3-0-0_104073_2019-05-16_final
2019-06-01 10:32:33	ga_ls7e_ard_3-0-0_104073_2019-06-01_final
2019-06-17 10:31:58	ga_ls7e_ard_3-0-0_104073_2019-06-17_final
2019-07-03 10:31:22	ga_ls7e_ard_3-0-0_104073_2019-07-03_final
2019-07-19 10:30:45	ga_ls7e_ard_3-0-0_104073_2019-07-19_final
2020-05-18 10:15:45	ga_ls7e_ard_3-1-0_104073_2020-05-18_final
2020-09-07 10:08:52	ga_ls7e_ard_3-1-0_104073_2020-09-07_final
2021-01-29 09:58:55	ga_ls7e_ard_3-2-0_104073_2021-01-29_final
2021-03-18 09:55:15	ga_ls7e_ard_3-2-0_104073_2021-03-18_final
2021-05-21 09:49:55	ga_ls7e_ard_3-2-0_104073_2021-05-21_final
2021-06-06 09:48:34	ga_ls7e_ard_3-2-0_104073_2021-06-06_final
2021-06-22 09:47:16	ga_ls7e_ard_3-2-0_104073_2021-06-22_final
2021-07-08 09:45:55	ga_ls7e_ard_3-2-0_104073_2021-07-08_final
2021-07-24 09:44:33	ga_ls7e_ard_3-2-0_104073_2021-07-24_final
2021-08-09 09:43:08	ga_ls7e_ard_3-2-0_104073_2021-08-09_final
2021-08-25 09:41:44	ga_ls7e_ard_3-2-0_104073_2021-08-25_final
2021-09-10 09:40:21	ga_ls7e_ard_3-2-0_104073_2021-09-10_final
2021-09-26 09:38:55	ga_ls7e_ard_3-2-0_104073_2021-09-26_final
2021-10-12 09:37:30	ga_ls7e_ard_3-2-0_104073_2021-10-12_final
2021-10-28 09:36:03	ga_ls7e_ard_3-2-0_104073_2021-10-28_final
2021-11-13 09:34:32	ga_ls7e_ard_3-2-1_104073_2021-11-13_final
2021-11-29 09:32:59	ga_ls7e_ard_3-2-1_104073_2021-11-29_final
2022-02-01 09:26:48	ga_ls7e_ard_3-2-1_104073_2022-01-31_final
2022-02-17 09:25:09	ga_ls7e_ard_3-2-1_104073_2022-02-16_final
2022-03-05 09:23:37	ga_ls7e_ard_3-2-1_104073_2022-03-04_final
2022-03-21 09:22:02	ga_ls7e_ard_3-2-1_104073_2022-03-20_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