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
2015-10-26 10:53:58	ga_ls7e_ard_3-0-0_106070_2015-10-26_final
2015-11-11 10:54:13	ga_ls7e_ard_3-0-0_106070_2015-11-11_final
2016-01-30 10:55:23	ga_ls7e_ard_3-0-0_106070_2016-01-30_final
2016-02-15 10:55:28	ga_ls7e_ard_3-0-0_106070_2016-02-15_final
2016-04-19 10:55:53	ga_ls7e_ard_3-0-0_106070_2016-04-19_final
2016-05-05 10:55:58	ga_ls7e_ard_3-0-0_106070_2016-05-05_final
2016-07-08 10:56:09	ga_ls7e_ard_3-0-0_106070_2016-07-08_final
2016-10-12 10:56:20	ga_ls7e_ard_3-0-0_106070_2016-10-12_final
2016-12-15 10:56:02	ga_ls7e_ard_3-0-0_106070_2016-12-15_final
2017-06-09 10:56:11	ga_ls7e_ard_3-0-0_106070_2017-06-09_final
2017-07-11 10:56:15	ga_ls7e_ard_3-0-0_106070_2017-07-11_final
2017-12-18 10:55:55	ga_ls7e_ard_3-0-0_106070_2017-12-18_final
2018-03-08 10:54:53	ga_ls7e_ard_3-0-0_106070_2018-03-08_final
2018-03-24 10:54:40	ga_ls7e_ard_3-0-0_106070_2018-03-24_final
2018-04-09 10:54:26	ga_ls7e_ard_3-0-0_106070_2018-04-09_final
2018-04-25 10:54:09	ga_ls7e_ard_3-0-0_106070_2018-04-25_final
2018-05-11 10:53:52	ga_ls7e_ard_3-0-0_106070_2018-05-11_final
2018-05-27 10:53:38	ga_ls7e_ard_3-0-0_106070_2018-05-27_final
2018-06-12 10:53:21	ga_ls7e_ard_3-0-0_106070_2018-06-12_final
2018-06-28 10:53:03	ga_ls7e_ard_3-0-0_106070_2018-06-28_final
2018-07-14 10:52:44	ga_ls7e_ard_3-0-0_106070_2018-07-14_final
2018-07-30 10:52:27	ga_ls7e_ard_3-0-0_106070_2018-07-30_final
2018-08-15 10:52:10	ga_ls7e_ard_3-0-0_106070_2018-08-15_final
2018-08-31 10:51:50	ga_ls7e_ard_3-0-0_106070_2018-08-31_final
2018-09-16 10:51:29	ga_ls7e_ard_3-0-0_106070_2018-09-16_final
2018-10-02 10:51:07	ga_ls7e_ard_3-0-0_106070_2018-10-02_final
2018-10-18 10:50:43	ga_ls7e_ard_3-0-0_106070_2018-10-18_final
2018-11-03 10:50:23	ga_ls7e_ard_3-0-0_106070_2018-11-03_final
2018-11-19 10:50:00	ga_ls7e_ard_3-0-0_106070_2018-11-19_final
2018-12-05 10:49:35	ga_ls7e_ard_3-0-0_106070_2018-12-05_final
2018-12-21 10:49:09	ga_ls7e_ard_3-0-0_106070_2018-12-21_final
2019-01-06 10:48:40	ga_ls7e_ard_3-0-0_106070_2019-01-06_final
2019-01-22 10:48:09	ga_ls7e_ard_3-0-0_106070_2019-01-22_final
2019-02-07 10:47:39	ga_ls7e_ard_3-0-0_106070_2019-02-07_final
2019-02-23 10:47:11	ga_ls7e_ard_3-1-0_106070_2019-02-23_final
2019-03-11 10:46:40	ga_ls7e_ard_3-1-0_106070_2019-03-11_final
2019-03-27 10:46:08	ga_ls7e_ard_3-1-0_106070_2019-03-27_final
2019-04-12 10:45:35	ga_ls7e_ard_3-0-0_106070_2019-04-12_final
2019-04-28 10:44:59	ga_ls7e_ard_3-0-0_106070_2019-04-28_final
2019-05-14 10:44:22	ga_ls7e_ard_3-0-0_106070_2019-05-14_final
2019-05-30 10:43:47	ga_ls7e_ard_3-0-0_106070_2019-05-30_final
2019-06-15 10:43:12	ga_ls7e_ard_3-0-0_106070_2019-06-15_final
2019-07-01 10:42:37	ga_ls7e_ard_3-0-0_106070_2019-07-01_final
2019-07-17 10:41:59	ga_ls7e_ard_3-0-0_106070_2019-07-17_final
2019-08-02 10:41:21	ga_ls7e_ard_3-0-0_106070_2019-08-02_final
2019-08-18 10:40:41	ga_ls7e_ard_3-0-0_106070_2019-08-18_final
2019-09-03 10:40:00	ga_ls7e_ard_3-1-0_106070_2019-09-03_final
2019-09-19 10:39:17	ga_ls7e_ard_3-1-0_106070_2019-09-19_final
2019-10-05 10:38:37	ga_ls7e_ard_3-1-0_106070_2019-10-05_final
2019-10-21 10:37:57	ga_ls7e_ard_3-1-0_106070_2019-10-21_final
2019-11-06 10:37:14	ga_ls7e_ard_3-1-0_106070_2019-11-06_final
2019-11-22 10:36:30	ga_ls7e_ard_3-1-0_106070_2019-11-22_final
2019-12-08 10:35:43	ga_ls7e_ard_3-1-0_106070_2019-12-08_final
2019-12-24 10:34:54	ga_ls7e_ard_3-1-0_106070_2019-12-24_final
2020-01-09 10:34:04	ga_ls7e_ard_3-1-0_106070_2020-01-09_final
2020-01-25 10:33:17	ga_ls7e_ard_3-1-0_106070_2020-01-25_final
2020-02-10 10:32:28	ga_ls7e_ard_3-1-0_106070_2020-02-10_final
2020-02-26 10:31:38	ga_ls7e_ard_3-1-0_106070_2020-02-26_final
2020-03-13 10:30:46	ga_ls7e_ard_3-1-0_106070_2020-03-13_final
2020-03-29 10:29:53	ga_ls7e_ard_3-1-0_106070_2020-03-29_final
2020-04-14 10:28:58	ga_ls7e_ard_3-1-0_106070_2020-04-14_final
2020-04-30 10:28:01	ga_ls7e_ard_3-1-0_106070_2020-04-30_final
2020-05-16 10:27:03	ga_ls7e_ard_3-1-0_106070_2020-05-16_final
2020-06-01 10:26:04	ga_ls7e_ard_3-1-0_106070_2020-06-01_final
2020-06-17 10:25:09	ga_ls7e_ard_3-1-0_106070_2020-06-17_final
2020-07-03 10:24:12	ga_ls7e_ard_3-1-0_106070_2020-07-03_final
2020-07-19 10:23:13	ga_ls7e_ard_3-1-0_106070_2020-07-19_final
2020-08-04 10:22:14	ga_ls7e_ard_3-1-0_106070_2020-08-04_final
2020-08-20 10:21:13	ga_ls7e_ard_3-1-0_106070_2020-08-20_final
2020-09-05 10:20:10	ga_ls7e_ard_3-1-0_106070_2020-09-05_final
2020-09-21 10:19:06	ga_ls7e_ard_3-1-0_106070_2020-09-21_final
2020-10-07 10:18:05	ga_ls7e_ard_3-1-0_106070_2020-10-07_final
2020-10-23 10:17:03	ga_ls7e_ard_3-1-0_106070_2020-10-23_final
2020-11-08 10:15:58	ga_ls7e_ard_3-1-0_106070_2020-11-08_final
2020-11-24 10:14:51	ga_ls7e_ard_3-1-0_106070_2020-11-24_final
2020-12-10 10:13:41	ga_ls7e_ard_3-1-0_106070_2020-12-10_final
2021-02-12 10:09:03	ga_ls7e_ard_3-2-0_106070_2021-02-12_final
2021-02-28 10:07:50	ga_ls7e_ard_3-2-0_106070_2021-02-28_final
2021-04-01 10:05:17	ga_ls7e_ard_3-2-0_106070_2021-04-01_final
2021-04-17 10:03:57	ga_ls7e_ard_3-2-0_106070_2021-04-17_final
2021-05-03 10:02:36	ga_ls7e_ard_3-2-0_106070_2021-05-03_final
2021-05-19 10:01:15	ga_ls7e_ard_3-2-0_106070_2021-05-19_final
2021-06-04 09:59:53	ga_ls7e_ard_3-2-0_106070_2021-06-04_final
2021-06-20 09:58:35	ga_ls7e_ard_3-2-0_106070_2021-06-20_final
2021-07-06 09:57:15	ga_ls7e_ard_3-2-0_106070_2021-07-06_final
2021-07-22 09:55:53	ga_ls7e_ard_3-2-0_106070_2021-07-22_final
2021-08-07 09:54:29	ga_ls7e_ard_3-2-0_106070_2021-08-07_final
2021-08-23 09:53:04	ga_ls7e_ard_3-2-0_106070_2021-08-23_final
2021-09-08 09:51:41	ga_ls7e_ard_3-2-0_106070_2021-09-08_final
2021-09-24 09:50:15	ga_ls7e_ard_3-2-0_106070_2021-09-24_final
2021-10-10 09:48:51	ga_ls7e_ard_3-2-0_106070_2021-10-10_final
2021-10-26 09:47:24	ga_ls7e_ard_3-2-0_106070_2021-10-26_final
2021-11-11 09:45:53	ga_ls7e_ard_3-2-0_106070_2021-11-11_final
2021-12-13 09:42:50	ga_ls7e_ard_3-2-1_106070_2021-12-13_final
2021-12-29 09:41:16	ga_ls7e_ard_3-2-1_106070_2021-12-29_final
2022-01-14 09:39:43	ga_ls7e_ard_3-2-1_106070_2022-01-14_final
2022-01-30 09:38:10	ga_ls7e_ard_3-2-1_106070_2022-01-30_final
2022-02-15 09:36:31	ga_ls7e_ard_3-2-1_106070_2022-02-15_final
2022-03-03 09:34:59	ga_ls7e_ard_3-2-1_106070_2022-03-03_final
2022-03-19 09:33:23	ga_ls7e_ard_3-2-1_106070_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