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
2016-02-20 09:37:31	ga_ls7e_ard_3-0-0_093076_2016-02-20_final
2016-03-23 09:37:46	ga_ls7e_ard_3-0-0_093076_2016-03-23_final
2016-04-08 09:37:50	ga_ls7e_ard_3-0-0_093076_2016-04-08_final
2016-05-10 09:38:02	ga_ls7e_ard_3-0-0_093076_2016-05-10_final
2016-05-26 09:38:06	ga_ls7e_ard_3-0-0_093076_2016-05-26_final
2016-07-13 09:38:11	ga_ls7e_ard_3-0-0_093076_2016-07-13_final
2016-07-29 09:38:15	ga_ls7e_ard_3-0-0_093076_2016-07-29_final
2016-08-14 09:38:16	ga_ls7e_ard_3-0-0_093076_2016-08-14_final
2016-09-15 09:38:21	ga_ls7e_ard_3-0-0_093076_2016-09-15_final
2016-10-01 09:38:24	ga_ls7e_ard_3-0-0_093076_2016-10-01_final
2016-10-17 09:38:23	ga_ls7e_ard_3-0-0_093076_2016-10-17_final
2016-11-18 09:38:10	ga_ls7e_ard_3-0-0_093076_2016-11-18_final
2016-12-04 09:38:08	ga_ls7e_ard_3-0-0_093076_2016-12-04_final
2016-12-20 09:38:03	ga_ls7e_ard_3-0-0_093076_2016-12-20_final
2017-02-06 09:37:37	ga_ls7e_ard_3-0-0_093076_2017-02-06_final
2017-03-10 09:37:47	ga_ls7e_ard_3-0-0_093076_2017-03-10_final
2017-03-26 09:37:52	ga_ls7e_ard_3-0-0_093076_2017-03-26_final
2017-04-27 09:38:04	ga_ls7e_ard_3-0-0_093076_2017-04-27_final
2017-05-29 09:38:11	ga_ls7e_ard_3-0-0_093076_2017-05-29_final
2017-06-14 09:38:15	ga_ls7e_ard_3-0-0_093076_2017-06-14_final
2017-06-30 09:38:17	ga_ls7e_ard_3-0-0_093076_2017-06-30_final
2017-08-01 09:38:17	ga_ls7e_ard_3-0-0_093076_2017-08-01_final
2017-08-17 09:38:15	ga_ls7e_ard_3-0-0_093076_2017-08-17_final
2017-09-02 09:38:15	ga_ls7e_ard_3-0-0_093076_2017-09-02_final
2017-09-18 09:38:13	ga_ls7e_ard_3-0-0_093076_2017-09-18_final
2017-12-07 09:38:05	ga_ls7e_ard_3-0-0_093076_2017-12-07_final
2017-12-23 09:37:55	ga_ls7e_ard_3-0-0_093076_2017-12-23_final
2018-01-08 09:37:43	ga_ls7e_ard_3-0-0_093076_2018-01-08_final
2018-01-24 09:37:28	ga_ls7e_ard_3-0-0_093076_2018-01-24_final
2018-02-09 09:37:13	ga_ls7e_ard_3-0-0_093076_2018-02-09_final
2018-03-13 09:36:52	ga_ls7e_ard_3-0-0_093076_2018-03-13_final
2018-03-29 09:36:39	ga_ls7e_ard_3-0-0_093076_2018-03-29_final
2018-04-30 09:36:07	ga_ls7e_ard_3-0-0_093076_2018-04-30_final
2018-05-16 09:35:51	ga_ls7e_ard_3-0-0_093076_2018-05-16_final
2018-06-01 09:35:36	ga_ls7e_ard_3-0-0_093076_2018-06-01_final
2018-06-17 09:35:19	ga_ls7e_ard_3-0-0_093076_2018-06-17_final
2018-07-03 09:35:00	ga_ls7e_ard_3-0-0_093076_2018-07-03_final
2018-07-19 09:34:42	ga_ls7e_ard_3-0-0_093076_2018-07-19_final
2018-08-04 09:34:25	ga_ls7e_ard_3-0-0_093076_2018-08-04_final
2018-08-20 09:34:07	ga_ls7e_ard_3-0-0_093076_2018-08-20_final
2018-09-05 09:33:47	ga_ls7e_ard_3-0-0_093076_2018-09-05_final
2018-09-21 09:33:26	ga_ls7e_ard_3-0-0_093076_2018-09-21_final
2018-10-23 09:32:40	ga_ls7e_ard_3-0-0_093076_2018-10-23_final
2018-11-08 09:32:19	ga_ls7e_ard_3-0-0_093076_2018-11-08_final
2018-11-24 09:31:56	ga_ls7e_ard_3-0-0_093076_2018-11-24_final
2018-12-10 09:31:30	ga_ls7e_ard_3-0-0_093076_2018-12-10_final
2018-12-26 09:31:03	ga_ls7e_ard_3-0-0_093076_2018-12-26_final
2019-01-11 09:30:34	ga_ls7e_ard_3-0-0_093076_2019-01-11_final
2019-02-12 09:29:34	ga_ls7e_ard_3-0-0_093076_2019-02-11_final
2019-02-28 09:29:04	ga_ls7e_ard_3-1-0_093076_2019-02-27_final
2019-04-01 09:28:01	ga_ls7e_ard_3-0-0_093076_2019-03-31_final
2019-04-17 09:27:27	ga_ls7e_ard_3-0-0_093076_2019-04-16_final
2019-05-03 09:26:51	ga_ls7e_ard_3-0-0_093076_2019-05-02_final
2019-05-19 09:26:14	ga_ls7e_ard_3-0-0_093076_2019-05-18_final
2019-06-04 09:25:39	ga_ls7e_ard_3-0-0_093076_2019-06-03_final
2019-06-20 09:25:04	ga_ls7e_ard_3-0-0_093076_2019-06-19_final
2019-07-22 09:23:51	ga_ls7e_ard_3-0-0_093076_2019-07-21_final
2019-08-23 09:22:31	ga_ls7e_ard_3-0-0_093076_2019-08-22_final
2019-09-08 09:21:50	ga_ls7e_ard_3-1-0_093076_2019-09-07_final
2019-09-24 09:21:07	ga_ls7e_ard_3-1-0_093076_2019-09-23_final
2019-10-10 09:20:28	ga_ls7e_ard_3-1-0_093076_2019-10-09_final
2019-11-11 09:19:04	ga_ls7e_ard_3-1-0_093076_2019-11-10_final
2019-12-13 09:17:31	ga_ls7e_ard_3-1-0_093076_2019-12-12_final
2019-12-29 09:16:42	ga_ls7e_ard_3-1-0_093076_2019-12-28_final
2020-01-14 09:15:53	ga_ls7e_ard_3-1-0_093076_2020-01-13_final
2020-01-30 09:15:05	ga_ls7e_ard_3-1-0_093076_2020-01-29_final
2020-02-15 09:14:16	ga_ls7e_ard_3-1-0_093076_2020-02-14_final
2020-03-18 09:12:33	ga_ls7e_ard_3-1-0_093076_2020-03-17_final
2020-04-03 09:11:39	ga_ls7e_ard_3-1-0_093076_2020-04-02_final
2020-04-19 09:10:44	ga_ls7e_ard_3-1-0_093076_2020-04-18_final
2020-06-06 09:07:50	ga_ls7e_ard_3-1-0_093076_2020-06-05_final
2020-06-22 09:06:54	ga_ls7e_ard_3-1-0_093076_2020-06-21_final
2020-07-08 09:05:57	ga_ls7e_ard_3-1-0_093076_2020-07-07_final
2020-08-09 09:03:58	ga_ls7e_ard_3-1-0_093076_2020-08-08_final
2020-08-25 09:02:56	ga_ls7e_ard_3-1-0_093076_2020-08-24_final
2020-09-10 09:01:53	ga_ls7e_ard_3-1-0_093076_2020-09-09_final
2020-10-12 08:59:49	ga_ls7e_ard_3-1-0_093076_2020-10-11_final
2020-11-29 08:56:33	ga_ls7e_ard_3-1-0_093076_2020-11-28_final
2020-12-15 08:55:21	ga_ls7e_ard_3-1-0_093076_2020-12-14_final
2021-01-16 08:53:05	ga_ls7e_ard_3-1-0_093076_2021-01-15_final
2021-02-17 08:50:44	ga_ls7e_ard_3-2-0_093076_2021-02-16_final
2021-03-05 08:49:30	ga_ls7e_ard_3-2-0_093076_2021-03-04_final
2021-05-08 08:44:14	ga_ls7e_ard_3-2-0_093076_2021-05-07_final
2021-05-24 08:42:53	ga_ls7e_ard_3-2-0_093076_2021-05-23_final
2021-06-09 08:41:32	ga_ls7e_ard_3-2-0_093076_2021-06-08_final
2021-07-11 08:38:53	ga_ls7e_ard_3-2-0_093076_2021-07-10_final
2021-07-27 08:37:30	ga_ls7e_ard_3-2-0_093076_2021-07-26_final
2021-08-12 08:36:05	ga_ls7e_ard_3-2-0_093076_2021-08-11_final
2021-08-28 08:34:42	ga_ls7e_ard_3-2-0_093076_2021-08-27_final
2021-09-13 08:33:18	ga_ls7e_ard_3-2-0_093076_2021-09-12_final
2021-10-15 08:30:27	ga_ls7e_ard_3-2-0_093076_2021-10-14_final
2021-10-31 08:29:00	ga_ls7e_ard_3-2-0_093076_2021-10-30_final
2021-11-16 08:27:27	ga_ls7e_ard_3-2-1_093076_2021-11-15_final
2021-12-02 08:25:56	ga_ls7e_ard_3-2-1_093076_2021-12-01_final
2021-12-18 08:24:25	ga_ls7e_ard_3-2-1_093076_2021-12-17_final
2022-01-03 08:22:48	ga_ls7e_ard_3-2-1_093076_2022-01-02_final
2022-01-19 08:21:17	ga_ls7e_ard_3-2-1_093076_2022-01-18_final
2022-02-04 08:19:43	ga_ls7e_ard_3-2-1_093076_2022-02-03_final
2022-02-20 08:18:06	ga_ls7e_ard_3-2-1_093076_2022-02-19_final
2022-03-08 08:16:33	ga_ls7e_ard_3-2-1_093076_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