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
2015-06-11 09:24:04	ga_ls7e_ard_3-0-0_091079_2015-06-10_final
2016-01-21 09:26:11	ga_ls7e_ard_3-0-0_091079_2016-01-20_final
2016-05-12 09:26:52	ga_ls7e_ard_3-0-0_091079_2016-05-11_final
2016-08-16 09:27:06	ga_ls7e_ard_3-0-0_091079_2016-08-15_final
2016-09-01 09:27:10	ga_ls7e_ard_3-0-0_091079_2016-08-31_final
2016-11-20 09:27:00	ga_ls7e_ard_3-0-0_091079_2016-11-19_final
2017-01-07 09:26:43	ga_ls7e_ard_3-0-0_091079_2017-01-06_final
2017-04-29 09:26:54	ga_ls7e_ard_3-0-0_091079_2017-04-28_final
2017-05-31 09:27:01	ga_ls7e_ard_3-0-0_091079_2017-05-30_final
2017-07-02 09:27:08	ga_ls7e_ard_3-0-0_091079_2017-07-01_final
2017-08-03 09:27:06	ga_ls7e_ard_3-0-0_091079_2017-08-02_final
2017-10-06 09:27:05	ga_ls7e_ard_3-0-0_091079_2017-10-05_final
2017-11-23 09:27:02	ga_ls7e_ard_3-0-0_091079_2017-11-22_final
2017-12-09 09:26:54	ga_ls7e_ard_3-0-0_091079_2017-12-08_final
2018-01-10 09:26:31	ga_ls7e_ard_3-0-0_091079_2018-01-09_final
2018-01-26 09:26:16	ga_ls7e_ard_3-0-0_091079_2018-01-25_final
2018-02-11 09:26:02	ga_ls7e_ard_3-0-0_091079_2018-02-10_final
2018-03-15 09:25:41	ga_ls7e_ard_3-0-0_091079_2018-03-14_final
2018-03-31 09:25:28	ga_ls7e_ard_3-0-0_091079_2018-03-30_final
2018-04-16 09:25:12	ga_ls7e_ard_3-0-0_091079_2018-04-15_final
2018-05-02 09:24:55	ga_ls7e_ard_3-0-0_091079_2018-05-01_final
2018-05-18 09:24:39	ga_ls7e_ard_3-0-0_091079_2018-05-17_final
2018-06-03 09:24:24	ga_ls7e_ard_3-0-0_091079_2018-06-02_final
2018-06-19 09:24:07	ga_ls7e_ard_3-0-0_091079_2018-06-18_final
2018-07-05 09:23:48	ga_ls7e_ard_3-0-0_091079_2018-07-04_final
2018-07-21 09:23:30	ga_ls7e_ard_3-0-0_091079_2018-07-20_final
2018-08-06 09:23:13	ga_ls7e_ard_3-0-0_091079_2018-08-05_final
2018-08-22 09:22:55	ga_ls7e_ard_3-0-0_091079_2018-08-21_final
2018-09-07 09:22:35	ga_ls7e_ard_3-0-0_091079_2018-09-06_final
2018-09-23 09:22:13	ga_ls7e_ard_3-0-0_091079_2018-09-22_final
2018-10-09 09:21:50	ga_ls7e_ard_3-0-0_091079_2018-10-08_final
2018-11-10 09:21:06	ga_ls7e_ard_3-0-0_091079_2018-11-09_final
2018-11-26 09:20:43	ga_ls7e_ard_3-0-0_091079_2018-11-25_final
2018-12-12 09:20:17	ga_ls7e_ard_3-0-0_091079_2018-12-11_final
2018-12-28 09:19:50	ga_ls7e_ard_3-0-0_091079_2018-12-27_final
2019-01-13 09:19:20	ga_ls7e_ard_3-0-0_091079_2019-01-12_final
2019-01-29 09:18:49	ga_ls7e_ard_3-0-0_091079_2019-01-28_final
2019-02-14 09:18:20	ga_ls7e_ard_3-0-0_091079_2019-02-13_final
2019-03-02 09:17:51	ga_ls7e_ard_3-1-0_091079_2019-03-01_final
2019-03-18 09:17:20	ga_ls7e_ard_3-1-0_091079_2019-03-17_final
2019-04-03 09:16:47	ga_ls7e_ard_3-0-0_091079_2019-04-02_final
2019-04-19 09:16:13	ga_ls7e_ard_3-0-0_091079_2019-04-18_final
2019-05-05 09:15:37	ga_ls7e_ard_3-0-0_091079_2019-05-04_final
2019-05-21 09:14:59	ga_ls7e_ard_3-0-0_091079_2019-05-20_final
2019-06-06 09:14:25	ga_ls7e_ard_3-0-0_091079_2019-06-05_final
2019-06-22 09:13:50	ga_ls7e_ard_3-0-0_091079_2019-06-21_final
2019-07-24 09:12:36	ga_ls7e_ard_3-0-0_091079_2019-07-23_final
2019-08-09 09:11:57	ga_ls7e_ard_3-0-0_091079_2019-08-08_final
2019-08-25 09:11:17	ga_ls7e_ard_3-1-0_091079_2019-08-24_final
2019-09-10 09:10:35	ga_ls7e_ard_3-1-0_091079_2019-09-09_final
2019-09-26 09:09:52	ga_ls7e_ard_3-1-0_091079_2019-09-25_final
2019-10-12 09:09:13	ga_ls7e_ard_3-1-0_091079_2019-10-11_final
2019-10-28 09:08:32	ga_ls7e_ard_3-1-0_091079_2019-10-27_final
2019-11-13 09:07:48	ga_ls7e_ard_3-1-0_091079_2019-11-12_final
2019-11-29 09:07:03	ga_ls7e_ard_3-1-0_091079_2019-11-28_final
2019-12-15 09:06:15	ga_ls7e_ard_3-1-0_091079_2019-12-14_final
2019-12-31 09:05:26	ga_ls7e_ard_3-1-0_091079_2019-12-30_final
2020-01-16 09:04:37	ga_ls7e_ard_3-1-0_091079_2020-01-15_final
2020-02-01 09:03:49	ga_ls7e_ard_3-1-0_091079_2020-01-31_final
2020-02-17 09:03:00	ga_ls7e_ard_3-1-0_091079_2020-02-16_final
2020-03-20 09:01:17	ga_ls7e_ard_3-1-0_091079_2020-03-19_final
2020-04-05 09:00:22	ga_ls7e_ard_3-1-0_091079_2020-04-04_final
2020-04-21 08:59:27	ga_ls7e_ard_3-1-0_091079_2020-04-20_final
2020-05-07 08:58:29	ga_ls7e_ard_3-1-0_091079_2020-05-06_final
2020-05-23 08:57:30	ga_ls7e_ard_3-1-0_091079_2020-05-22_final
2020-06-08 08:56:34	ga_ls7e_ard_3-1-0_091079_2020-06-07_final
2020-06-24 08:55:37	ga_ls7e_ard_3-1-0_091079_2020-06-23_final
2020-07-10 08:54:40	ga_ls7e_ard_3-1-0_091079_2020-07-09_final
2020-08-11 08:52:41	ga_ls7e_ard_3-1-0_091079_2020-08-10_final
2020-08-27 08:51:39	ga_ls7e_ard_3-1-0_091079_2020-08-26_final
2020-09-12 08:50:36	ga_ls7e_ard_3-1-0_091079_2020-09-11_final
2020-09-28 08:49:33	ga_ls7e_ard_3-1-0_091079_2020-09-27_final
2020-10-14 08:48:32	ga_ls7e_ard_3-1-0_091079_2020-10-13_final
2020-10-30 08:47:28	ga_ls7e_ard_3-1-0_091079_2020-10-29_final
2020-11-15 08:46:23	ga_ls7e_ard_3-1-0_091079_2020-11-14_final
2020-12-01 08:45:14	ga_ls7e_ard_3-1-0_091079_2020-11-30_final
2021-02-19 08:39:25	ga_ls7e_ard_3-2-0_091079_2021-02-18_final
2021-03-07 08:38:11	ga_ls7e_ard_3-2-0_091079_2021-03-06_final
2021-04-08 08:35:36	ga_ls7e_ard_3-2-0_091079_2021-04-07_final
2021-04-24 08:34:15	ga_ls7e_ard_3-2-0_091079_2021-04-23_final
2021-05-10 08:32:54	ga_ls7e_ard_3-2-0_091079_2021-05-09_final
2021-05-26 08:31:33	ga_ls7e_ard_3-2-0_091079_2021-05-25_final
2021-06-11 08:30:13	ga_ls7e_ard_3-2-0_091079_2021-06-10_final
2021-06-27 08:28:54	ga_ls7e_ard_3-2-0_091079_2021-06-26_final
2021-07-13 08:27:33	ga_ls7e_ard_3-2-0_091079_2021-07-12_final
2021-07-29 08:26:10	ga_ls7e_ard_3-2-0_091079_2021-07-28_final
2021-08-14 08:24:45	ga_ls7e_ard_3-2-0_091079_2021-08-13_final
2021-08-30 08:23:22	ga_ls7e_ard_3-2-0_091079_2021-08-29_final
2021-09-15 08:21:57	ga_ls7e_ard_3-2-0_091079_2021-09-14_final
2021-10-01 08:20:31	ga_ls7e_ard_3-2-0_091079_2021-09-30_final
2021-10-17 08:19:07	ga_ls7e_ard_3-2-0_091079_2021-10-16_final
2021-11-02 08:17:39	ga_ls7e_ard_3-2-0_091079_2021-11-01_final
2021-11-18 08:16:06	ga_ls7e_ard_3-2-1_091079_2021-11-17_final
2021-12-04 08:14:35	ga_ls7e_ard_3-2-1_091079_2021-12-03_final
2021-12-20 08:13:03	ga_ls7e_ard_3-2-1_091079_2021-12-19_final
2022-01-05 08:11:26	ga_ls7e_ard_3-2-1_091079_2022-01-04_final
2022-01-21 08:09:56	ga_ls7e_ard_3-2-1_091079_2022-01-20_final
2022-02-06 08:08:21	ga_ls7e_ard_3-2-1_091079_2022-02-05_final
2022-02-22 08:06:44	ga_ls7e_ard_3-2-1_091079_2022-02-21_final
2022-03-10 08:05:11	ga_ls7e_ard_3-2-1_091079_2022-03-09_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