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
2016-10-25 10:28:35	ga_ls7e_ard_3-0-0_101078_2016-10-25_final
2016-11-10 10:28:28	ga_ls7e_ard_3-0-0_101078_2016-11-10_final
2016-12-28 10:28:13	ga_ls7e_ard_3-0-0_101078_2016-12-28_final
2017-01-29 10:27:54	ga_ls7e_ard_3-0-0_101078_2017-01-29_final
2017-02-14 10:27:49	ga_ls7e_ard_3-0-0_101078_2017-02-14_final
2017-03-02 10:27:58	ga_ls7e_ard_3-0-0_101078_2017-03-02_final
2017-03-18 10:28:04	ga_ls7e_ard_3-0-0_101078_2017-03-18_final
2017-05-05 10:28:20	ga_ls7e_ard_3-0-0_101078_2017-05-05_final
2017-06-22 10:28:31	ga_ls7e_ard_3-0-0_101078_2017-06-22_final
2017-07-24 10:28:32	ga_ls7e_ard_3-0-0_101078_2017-07-24_final
2017-08-09 10:28:30	ga_ls7e_ard_3-0-0_101078_2017-08-09_final
2017-09-10 10:28:29	ga_ls7e_ard_3-0-0_101078_2017-09-10_final
2017-09-26 10:28:28	ga_ls7e_ard_3-0-0_101078_2017-09-26_final
2017-10-12 10:28:30	ga_ls7e_ard_3-0-0_101078_2017-10-12_final
2017-10-28 10:28:31	ga_ls7e_ard_3-0-0_101078_2017-10-28_final
2017-11-29 10:28:23	ga_ls7e_ard_3-0-0_101078_2017-11-29_final
2018-01-16 10:27:50	ga_ls7e_ard_3-0-0_101078_2018-01-16_final
2018-02-17 10:27:23	ga_ls7e_ard_3-0-0_101078_2018-02-17_final
2018-03-21 10:27:00	ga_ls7e_ard_3-1-0_101078_2018-03-21_final
2018-04-22 10:26:30	ga_ls7e_ard_3-0-0_101078_2018-04-22_final
2018-05-08 10:26:12	ga_ls7e_ard_3-0-0_101078_2018-05-08_final
2018-06-09 10:25:42	ga_ls7e_ard_3-0-0_101078_2018-06-09_final
2018-06-25 10:25:24	ga_ls7e_ard_3-0-0_101078_2018-06-25_final
2018-07-11 10:25:04	ga_ls7e_ard_3-0-0_101078_2018-07-11_final
2018-07-27 10:24:48	ga_ls7e_ard_3-0-0_101078_2018-07-27_final
2018-08-28 10:24:11	ga_ls7e_ard_3-0-0_101078_2018-08-28_final
2018-09-13 10:23:51	ga_ls7e_ard_3-0-0_101078_2018-09-13_final
2018-09-29 10:23:29	ga_ls7e_ard_3-0-0_101078_2018-09-29_final
2018-10-15 10:23:04	ga_ls7e_ard_3-0-0_101078_2018-10-15_final
2018-10-31 10:22:44	ga_ls7e_ard_3-0-0_101078_2018-10-31_final
2018-11-16 10:22:22	ga_ls7e_ard_3-0-0_101078_2018-11-16_final
2018-12-02 10:21:58	ga_ls7e_ard_3-1-0_101078_2018-12-02_final
2018-12-18 10:21:31	ga_ls7e_ard_3-1-0_101078_2018-12-18_final
2019-01-03 10:21:03	ga_ls7e_ard_3-0-0_101078_2019-01-03_final
2019-01-19 10:20:32	ga_ls7e_ard_3-0-0_101078_2019-01-19_final
2019-02-04 10:20:02	ga_ls7e_ard_3-0-0_101078_2019-02-04_final
2019-02-20 10:19:34	ga_ls7e_ard_3-1-0_101078_2019-02-20_final
2019-03-08 10:19:04	ga_ls7e_ard_3-1-0_101078_2019-03-08_final
2019-03-24 10:18:32	ga_ls7e_ard_3-1-0_101078_2019-03-24_final
2019-04-09 10:17:59	ga_ls7e_ard_3-0-0_101078_2019-04-09_final
2019-04-25 10:17:24	ga_ls7e_ard_3-0-0_101078_2019-04-25_final
2019-05-11 10:16:47	ga_ls7e_ard_3-0-0_101078_2019-05-11_final
2019-05-27 10:16:10	ga_ls7e_ard_3-0-0_101078_2019-05-27_final
2019-06-12 10:15:36	ga_ls7e_ard_3-0-0_101078_2019-06-12_final
2019-06-28 10:15:01	ga_ls7e_ard_3-0-0_101078_2019-06-28_final
2019-07-14 10:14:24	ga_ls7e_ard_3-0-0_101078_2019-07-14_final
2019-08-15 10:13:06	ga_ls7e_ard_3-0-0_101078_2019-08-15_final
2019-08-31 10:12:25	ga_ls7e_ard_3-1-0_101078_2019-08-31_final
2019-09-16 10:11:43	ga_ls7e_ard_3-1-0_101078_2019-09-16_final
2019-10-02 10:11:02	ga_ls7e_ard_3-1-0_101078_2019-10-02_final
2019-10-18 10:10:22	ga_ls7e_ard_3-1-0_101078_2019-10-18_final
2019-11-03 10:09:40	ga_ls7e_ard_3-1-0_101078_2019-11-03_final
2019-11-19 10:08:56	ga_ls7e_ard_3-1-0_101078_2019-11-19_final
2019-12-05 10:08:09	ga_ls7e_ard_3-1-0_101078_2019-12-05_final
2019-12-21 10:07:21	ga_ls7e_ard_3-1-0_101078_2019-12-21_final
2020-01-06 10:06:31	ga_ls7e_ard_3-1-0_101078_2020-01-06_final
2020-01-22 10:05:43	ga_ls7e_ard_3-1-0_101078_2020-01-22_final
2020-02-07 10:04:55	ga_ls7e_ard_3-1-0_101078_2020-02-07_final
2020-02-23 10:04:05	ga_ls7e_ard_3-1-0_101078_2020-02-23_final
2020-03-10 10:03:14	ga_ls7e_ard_3-1-0_101078_2020-03-10_final
2020-03-26 10:02:20	ga_ls7e_ard_3-1-0_101078_2020-03-26_final
2020-04-11 10:01:26	ga_ls7e_ard_3-1-0_101078_2020-04-11_final
2020-04-27 10:00:29	ga_ls7e_ard_3-1-0_101078_2020-04-27_final
2020-05-13 09:59:31	ga_ls7e_ard_3-1-0_101078_2020-05-13_final
2020-05-29 09:58:32	ga_ls7e_ard_3-1-0_101078_2020-05-29_final
2020-06-14 09:57:37	ga_ls7e_ard_3-1-0_101078_2020-06-14_final
2020-06-30 09:56:40	ga_ls7e_ard_3-1-0_101078_2020-06-30_final
2020-07-16 09:55:42	ga_ls7e_ard_3-1-0_101078_2020-07-16_final
2020-08-01 09:54:42	ga_ls7e_ard_3-1-0_101078_2020-08-01_final
2020-08-17 09:53:42	ga_ls7e_ard_3-1-0_101078_2020-08-17_final
2020-09-02 09:52:39	ga_ls7e_ard_3-1-0_101078_2020-09-02_final
2020-09-18 09:51:36	ga_ls7e_ard_3-1-0_101078_2020-09-18_final
2020-10-04 09:50:34	ga_ls7e_ard_3-1-0_101078_2020-10-04_final
2020-10-20 09:49:32	ga_ls7e_ard_3-1-0_101078_2020-10-20_final
2020-11-05 09:48:28	ga_ls7e_ard_3-1-0_101078_2020-11-05_final
2020-11-21 09:47:22	ga_ls7e_ard_3-1-0_101078_2020-11-21_final
2020-12-07 09:46:12	ga_ls7e_ard_3-1-0_101078_2020-12-07_final
2021-01-08 09:43:53	ga_ls7e_ard_3-1-0_101078_2021-01-08_final
2021-02-09 09:41:34	ga_ls7e_ard_3-2-0_101078_2021-02-09_final
2021-02-25 09:40:21	ga_ls7e_ard_3-2-0_101078_2021-02-25_final
2021-03-29 09:37:49	ga_ls7e_ard_3-2-0_101078_2021-03-29_final
2021-04-14 09:36:29	ga_ls7e_ard_3-2-0_101078_2021-04-14_final
2021-04-30 09:35:08	ga_ls7e_ard_3-2-0_101078_2021-04-30_final
2021-05-16 09:33:48	ga_ls7e_ard_3-2-0_101078_2021-05-16_final
2021-06-01 09:32:25	ga_ls7e_ard_3-2-0_101078_2021-06-01_final
2021-06-17 09:31:08	ga_ls7e_ard_3-2-0_101078_2021-06-17_final
2021-07-19 09:28:26	ga_ls7e_ard_3-2-0_101078_2021-07-18_final
2021-08-04 09:27:02	ga_ls7e_ard_3-2-0_101078_2021-08-03_final
2021-08-20 09:25:37	ga_ls7e_ard_3-2-0_101078_2021-08-19_final
2021-09-05 09:24:14	ga_ls7e_ard_3-2-0_101078_2021-09-04_final
2021-09-21 09:22:49	ga_ls7e_ard_3-2-0_101078_2021-09-20_final
2021-10-07 09:21:24	ga_ls7e_ard_3-2-0_101078_2021-10-06_final
2021-10-23 09:19:58	ga_ls7e_ard_3-2-0_101078_2021-10-22_final
2021-11-24 09:16:54	ga_ls7e_ard_3-2-1_101078_2021-11-23_final
2021-12-10 09:15:25	ga_ls7e_ard_3-2-1_101078_2021-12-09_final
2021-12-26 09:13:51	ga_ls7e_ard_3-2-1_101078_2021-12-25_final
2022-01-11 09:12:17	ga_ls7e_ard_3-2-1_101078_2022-01-10_final
2022-01-27 09:10:45	ga_ls7e_ard_3-2-1_101078_2022-01-26_final
2022-02-12 09:09:07	ga_ls7e_ard_3-2-1_101078_2022-02-11_final
2022-02-28 09:07:34	ga_ls7e_ard_3-2-1_101078_2022-02-27_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