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
2016-05-10 09:37:14	ga_ls7e_ard_3-0-0_093074_2016-05-10_final
2016-05-26 09:37:18	ga_ls7e_ard_3-0-0_093074_2016-05-26_final
2016-06-11 09:37:23	ga_ls7e_ard_3-0-0_093074_2016-06-11_final
2016-08-30 09:37:31	ga_ls7e_ard_3-0-0_093074_2016-08-30_final
2016-09-15 09:37:33	ga_ls7e_ard_3-0-0_093074_2016-09-15_final
2016-11-02 09:37:30	ga_ls7e_ard_3-0-0_093074_2016-11-02_final
2016-12-04 09:37:20	ga_ls7e_ard_3-0-0_093074_2016-12-04_final
2016-12-20 09:37:15	ga_ls7e_ard_3-0-0_093074_2016-12-20_final
2017-01-05 09:37:06	ga_ls7e_ard_3-0-0_093074_2017-01-05_final
2017-02-22 09:36:52	ga_ls7e_ard_3-0-0_093074_2017-02-22_final
2017-03-10 09:36:59	ga_ls7e_ard_3-0-0_093074_2017-03-10_final
2017-04-11 09:37:09	ga_ls7e_ard_3-0-0_093074_2017-04-11_final
2017-04-27 09:37:16	ga_ls7e_ard_3-0-0_093074_2017-04-27_final
2017-05-13 09:37:19	ga_ls7e_ard_3-0-0_093074_2017-05-13_final
2017-06-14 09:37:27	ga_ls7e_ard_3-0-0_093074_2017-06-14_final
2017-08-01 09:37:29	ga_ls7e_ard_3-0-0_093074_2017-08-01_final
2017-08-17 09:37:27	ga_ls7e_ard_3-0-0_093074_2017-08-17_final
2017-09-02 09:37:27	ga_ls7e_ard_3-0-0_093074_2017-09-02_final
2017-09-18 09:37:25	ga_ls7e_ard_3-0-0_093074_2017-09-18_final
2017-10-04 09:37:26	ga_ls7e_ard_3-0-0_093074_2017-10-04_final
2017-10-20 09:37:29	ga_ls7e_ard_3-0-0_093074_2017-10-20_final
2017-11-05 09:37:28	ga_ls7e_ard_3-0-0_093074_2017-11-05_final
2017-11-21 09:37:24	ga_ls7e_ard_3-0-0_093074_2017-11-21_final
2017-12-23 09:37:07	ga_ls7e_ard_3-0-0_093074_2017-12-23_final
2018-01-24 09:36:40	ga_ls7e_ard_3-0-0_093074_2018-01-24_final
2018-02-09 09:36:25	ga_ls7e_ard_3-0-0_093074_2018-02-09_final
2018-02-25 09:36:15	ga_ls7e_ard_3-0-0_093074_2018-02-25_final
2018-03-13 09:36:04	ga_ls7e_ard_3-0-0_093074_2018-03-13_final
2018-03-29 09:35:51	ga_ls7e_ard_3-0-0_093074_2018-03-29_final
2018-04-14 09:35:36	ga_ls7e_ard_3-0-0_093074_2018-04-14_final
2018-05-16 09:35:03	ga_ls7e_ard_3-0-0_093074_2018-05-16_final
2018-06-01 09:34:48	ga_ls7e_ard_3-0-0_093074_2018-06-01_final
2018-06-17 09:34:31	ga_ls7e_ard_3-0-0_093074_2018-06-17_final
2018-07-03 09:34:12	ga_ls7e_ard_3-0-0_093074_2018-07-03_final
2018-07-19 09:33:54	ga_ls7e_ard_3-0-0_093074_2018-07-19_final
2018-08-04 09:33:37	ga_ls7e_ard_3-0-0_093074_2018-08-04_final
2018-08-20 09:33:19	ga_ls7e_ard_3-0-0_093074_2018-08-20_final
2018-09-05 09:32:59	ga_ls7e_ard_3-0-0_093074_2018-09-05_final
2018-09-21 09:32:38	ga_ls7e_ard_3-0-0_093074_2018-09-21_final
2018-10-07 09:32:15	ga_ls7e_ard_3-0-0_093074_2018-10-07_final
2018-10-23 09:31:52	ga_ls7e_ard_3-0-0_093074_2018-10-23_final
2018-11-08 09:31:31	ga_ls7e_ard_3-0-0_093074_2018-11-08_final
2018-11-24 09:31:08	ga_ls7e_ard_3-0-0_093074_2018-11-24_final
2019-02-12 09:28:46	ga_ls7e_ard_3-0-0_093074_2019-02-11_final
2019-02-28 09:28:17	ga_ls7e_ard_3-1-0_093074_2019-02-27_final
2019-03-16 09:27:46	ga_ls7e_ard_3-1-0_093074_2019-03-15_final
2019-04-17 09:26:39	ga_ls7e_ard_3-0-0_093074_2019-04-16_final
2019-06-04 09:24:51	ga_ls7e_ard_3-0-0_093074_2019-06-03_final
2019-06-20 09:24:17	ga_ls7e_ard_3-0-0_093074_2019-06-19_final
2019-08-07 09:22:24	ga_ls7e_ard_3-0-0_093074_2019-08-06_final
2019-08-23 09:21:44	ga_ls7e_ard_3-0-0_093074_2019-08-22_final
2019-09-08 09:21:02	ga_ls7e_ard_3-1-0_093074_2019-09-07_final
2019-09-24 09:20:19	ga_ls7e_ard_3-1-0_093074_2019-09-23_final
2019-10-10 09:19:40	ga_ls7e_ard_3-1-0_093074_2019-10-09_final
2019-10-26 09:18:59	ga_ls7e_ard_3-1-0_093074_2019-10-25_final
2019-11-11 09:18:16	ga_ls7e_ard_3-1-0_093074_2019-11-10_final
2019-11-27 09:17:31	ga_ls7e_ard_3-1-0_093074_2019-11-26_final
2019-12-13 09:16:43	ga_ls7e_ard_3-1-0_093074_2019-12-12_final
2020-01-14 09:15:05	ga_ls7e_ard_3-1-0_093074_2020-01-13_final
2020-02-15 09:13:28	ga_ls7e_ard_3-1-0_093074_2020-02-14_final
2020-03-18 09:11:45	ga_ls7e_ard_3-1-0_093074_2020-03-17_final
2020-04-03 09:10:51	ga_ls7e_ard_3-1-0_093074_2020-04-02_final
2020-04-19 09:09:56	ga_ls7e_ard_3-1-0_093074_2020-04-18_final
2020-05-05 09:08:58	ga_ls7e_ard_3-1-0_093074_2020-05-04_final
2020-06-06 09:07:03	ga_ls7e_ard_3-1-0_093074_2020-06-05_final
2020-06-22 09:06:06	ga_ls7e_ard_3-1-0_093074_2020-06-21_final
2020-07-08 09:05:09	ga_ls7e_ard_3-1-0_093074_2020-07-07_final
2020-08-25 09:02:09	ga_ls7e_ard_3-1-0_093074_2020-08-24_final
2020-09-10 09:01:06	ga_ls7e_ard_3-1-0_093074_2020-09-09_final
2020-09-26 09:00:02	ga_ls7e_ard_3-1-0_093074_2020-09-25_final
2020-10-12 08:59:01	ga_ls7e_ard_3-1-0_093074_2020-10-11_final
2020-10-28 08:57:58	ga_ls7e_ard_3-1-0_093074_2020-10-27_final
2020-11-13 08:56:53	ga_ls7e_ard_3-1-0_093074_2020-11-12_final
2020-11-29 08:55:45	ga_ls7e_ard_3-1-0_093074_2020-11-28_final
2020-12-15 08:54:33	ga_ls7e_ard_3-1-0_093074_2020-12-14_final
2021-01-16 08:52:17	ga_ls7e_ard_3-1-0_093074_2021-01-15_final
2021-02-01 08:51:07	ga_ls7e_ard_3-2-0_093074_2021-01-31_final
2021-02-17 08:49:56	ga_ls7e_ard_3-2-0_093074_2021-02-16_final
2021-03-05 08:48:42	ga_ls7e_ard_3-2-0_093074_2021-03-04_final
2021-03-21 08:47:26	ga_ls7e_ard_3-2-0_093074_2021-03-20_final
2021-04-06 08:46:07	ga_ls7e_ard_3-2-0_093074_2021-04-05_final
2021-05-08 08:43:26	ga_ls7e_ard_3-2-0_093074_2021-05-07_final
2021-05-24 08:42:05	ga_ls7e_ard_3-2-0_093074_2021-05-23_final
2021-06-09 08:40:45	ga_ls7e_ard_3-2-0_093074_2021-06-08_final
2021-06-25 08:39:26	ga_ls7e_ard_3-2-0_093074_2021-06-24_final
2021-07-11 08:38:05	ga_ls7e_ard_3-2-0_093074_2021-07-10_final
2021-07-27 08:36:42	ga_ls7e_ard_3-2-0_093074_2021-07-26_final
2021-08-12 08:35:17	ga_ls7e_ard_3-2-0_093074_2021-08-11_final
2021-08-28 08:33:54	ga_ls7e_ard_3-2-0_093074_2021-08-27_final
2021-09-13 08:32:30	ga_ls7e_ard_3-2-0_093074_2021-09-12_final
2021-09-29 08:31:04	ga_ls7e_ard_3-2-0_093074_2021-09-28_final
2021-10-15 08:29:39	ga_ls7e_ard_3-2-0_093074_2021-10-14_final
2021-10-31 08:28:12	ga_ls7e_ard_3-2-0_093074_2021-10-30_final
2021-11-16 08:26:40	ga_ls7e_ard_3-2-1_093074_2021-11-15_final
2021-12-02 08:25:08	ga_ls7e_ard_3-2-1_093074_2021-12-01_final
2021-12-18 08:23:37	ga_ls7e_ard_3-2-1_093074_2021-12-17_final
2022-01-03 08:22:01	ga_ls7e_ard_3-2-1_093074_2022-01-02_final
2022-01-19 08:20:30	ga_ls7e_ard_3-2-1_093074_2022-01-18_final
2022-02-20 08:17:18	ga_ls7e_ard_3-2-1_093074_2022-02-19_final
2022-03-08 08:15:45	ga_ls7e_ard_3-2-1_093074_2022-03-07_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