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
2017-06-03 09:55:09	ga_ls7e_ard_3-0-0_096072_2017-06-03_final
2017-06-19 09:55:13	ga_ls7e_ard_3-0-0_096072_2017-06-19_final
2017-07-05 09:55:14	ga_ls7e_ard_3-0-0_096072_2017-07-05_final
2017-07-21 09:55:14	ga_ls7e_ard_3-0-0_096072_2017-07-21_final
2017-08-22 09:55:12	ga_ls7e_ard_3-0-0_096072_2017-08-22_final
2017-09-07 09:55:11	ga_ls7e_ard_3-0-0_096072_2017-09-07_final
2017-09-23 09:55:10	ga_ls7e_ard_3-0-0_096072_2017-09-23_final
2017-10-09 09:55:12	ga_ls7e_ard_3-0-0_096072_2017-10-09_final
2017-10-25 09:55:13	ga_ls7e_ard_3-0-0_096072_2017-10-25_final
2017-11-10 09:55:12	ga_ls7e_ard_3-0-0_096072_2017-11-10_final
2017-11-26 09:55:07	ga_ls7e_ard_3-0-0_096072_2017-11-26_final
2017-12-12 09:54:59	ga_ls7e_ard_3-0-0_096072_2017-12-12_final
2017-12-28 09:54:48	ga_ls7e_ard_3-0-0_096072_2017-12-28_final
2018-01-13 09:54:35	ga_ls7e_ard_3-0-0_096072_2018-01-13_final
2018-01-29 09:54:20	ga_ls7e_ard_3-0-0_096072_2018-01-29_final
2018-02-14 09:54:07	ga_ls7e_ard_3-0-0_096072_2018-02-14_final
2018-03-18 09:53:45	ga_ls7e_ard_3-0-0_096072_2018-03-18_final
2018-04-03 09:53:31	ga_ls7e_ard_3-0-0_096072_2018-04-03_final
2018-04-19 09:53:16	ga_ls7e_ard_3-0-0_096072_2018-04-19_final
2018-05-05 09:52:58	ga_ls7e_ard_3-0-0_096072_2018-05-05_final
2018-05-21 09:52:43	ga_ls7e_ard_3-0-0_096072_2018-05-21_final
2018-06-06 09:52:27	ga_ls7e_ard_3-0-0_096072_2018-06-06_final
2018-06-22 09:52:10	ga_ls7e_ard_3-0-0_096072_2018-06-22_final
2018-07-08 09:51:50	ga_ls7e_ard_3-0-0_096072_2018-07-08_final
2018-07-24 09:51:33	ga_ls7e_ard_3-0-0_096072_2018-07-24_final
2018-08-09 09:51:16	ga_ls7e_ard_3-0-0_096072_2018-08-09_final
2018-08-25 09:50:57	ga_ls7e_ard_3-0-0_096072_2018-08-25_final
2018-09-10 09:50:37	ga_ls7e_ard_3-0-0_096072_2018-09-10_final
2018-09-26 09:50:15	ga_ls7e_ard_3-0-0_096072_2018-09-26_final
2018-10-12 09:49:51	ga_ls7e_ard_3-0-0_096072_2018-10-12_final
2018-10-28 09:49:30	ga_ls7e_ard_3-0-0_096072_2018-10-28_final
2018-11-13 09:49:09	ga_ls7e_ard_3-0-0_096072_2018-11-13_final
2018-11-29 09:48:45	ga_ls7e_ard_3-0-0_096072_2018-11-29_final
2018-12-31 09:47:51	ga_ls7e_ard_3-0-0_096072_2018-12-31_final
2019-01-16 09:47:21	ga_ls7e_ard_3-0-0_096072_2019-01-16_final
2019-02-17 09:46:21	ga_ls7e_ard_3-1-0_096072_2019-02-17_final
2019-03-05 09:45:52	ga_ls7e_ard_3-1-0_096072_2019-03-05_final
2019-04-06 09:44:47	ga_ls7e_ard_3-0-0_096072_2019-04-06_final
2019-04-22 09:44:13	ga_ls7e_ard_3-0-0_096072_2019-04-22_final
2019-05-08 09:43:36	ga_ls7e_ard_3-0-0_096072_2019-05-08_final
2019-05-24 09:42:59	ga_ls7e_ard_3-0-0_096072_2019-05-24_final
2019-06-09 09:42:25	ga_ls7e_ard_3-0-0_096072_2019-06-09_final
2019-06-25 09:41:50	ga_ls7e_ard_3-0-0_096072_2019-06-25_final
2019-07-11 09:41:13	ga_ls7e_ard_3-0-0_096072_2019-07-11_final
2019-07-27 09:40:35	ga_ls7e_ard_3-0-0_096072_2019-07-27_final
2019-08-12 09:39:56	ga_ls7e_ard_3-0-0_096072_2019-08-12_final
2019-08-28 09:39:15	ga_ls7e_ard_3-1-0_096072_2019-08-28_final
2019-09-13 09:38:33	ga_ls7e_ard_3-1-0_096072_2019-09-13_final
2019-09-29 09:37:52	ga_ls7e_ard_3-1-0_096072_2019-09-29_final
2019-10-15 09:37:12	ga_ls7e_ard_3-1-0_096072_2019-10-15_final
2019-10-31 09:36:30	ga_ls7e_ard_3-1-0_096072_2019-10-31_final
2019-11-16 09:35:46	ga_ls7e_ard_3-1-0_096072_2019-11-16_final
2019-12-02 09:35:01	ga_ls7e_ard_3-1-0_096072_2019-12-02_final
2019-12-18 09:34:13	ga_ls7e_ard_3-1-0_096072_2019-12-18_final
2020-01-03 09:33:23	ga_ls7e_ard_3-1-0_096072_2020-01-03_final
2020-01-19 09:32:35	ga_ls7e_ard_3-1-0_096072_2020-01-19_final
2020-02-04 09:31:47	ga_ls7e_ard_3-1-0_096072_2020-02-04_final
2020-02-20 09:30:57	ga_ls7e_ard_3-1-0_096072_2020-02-20_final
2020-03-23 09:29:13	ga_ls7e_ard_3-1-0_096072_2020-03-22_final
2020-04-08 09:28:19	ga_ls7e_ard_3-1-0_096072_2020-04-07_final
2020-04-24 09:27:23	ga_ls7e_ard_3-1-0_096072_2020-04-23_final
2020-05-10 09:26:25	ga_ls7e_ard_3-1-0_096072_2020-05-09_final
2020-05-26 09:25:25	ga_ls7e_ard_3-1-0_096072_2020-05-25_final
2020-06-11 09:24:30	ga_ls7e_ard_3-1-0_096072_2020-06-10_final
2020-06-27 09:23:33	ga_ls7e_ard_3-1-0_096072_2020-06-26_final
2020-07-13 09:22:35	ga_ls7e_ard_3-1-0_096072_2020-07-12_final
2020-07-29 09:21:36	ga_ls7e_ard_3-1-0_096072_2020-07-28_final
2020-08-14 09:20:35	ga_ls7e_ard_3-1-0_096072_2020-08-13_final
2020-08-30 09:19:34	ga_ls7e_ard_3-1-0_096072_2020-08-29_final
2020-09-15 09:18:30	ga_ls7e_ard_3-1-0_096072_2020-09-14_final
2020-10-01 09:17:28	ga_ls7e_ard_3-1-0_096072_2020-09-30_final
2020-10-17 09:16:26	ga_ls7e_ard_3-1-0_096072_2020-10-16_final
2020-11-02 09:15:23	ga_ls7e_ard_3-1-0_096072_2020-11-01_final
2020-11-18 09:14:17	ga_ls7e_ard_3-1-0_096072_2020-11-17_final
2020-12-04 09:13:07	ga_ls7e_ard_3-1-0_096072_2020-12-03_final
2021-02-22 09:07:17	ga_ls7e_ard_3-2-0_096072_2021-02-21_final
2021-03-10 09:06:03	ga_ls7e_ard_3-2-0_096072_2021-03-09_final
2021-03-26 09:04:46	ga_ls7e_ard_3-2-0_096072_2021-03-25_final
2021-04-11 09:03:27	ga_ls7e_ard_3-2-0_096072_2021-04-10_final
2021-04-27 09:02:06	ga_ls7e_ard_3-2-0_096072_2021-04-26_final
2021-05-13 09:00:46	ga_ls7e_ard_3-2-0_096072_2021-05-12_final
2021-05-29 08:59:24	ga_ls7e_ard_3-2-0_096072_2021-05-28_final
2021-06-14 08:58:05	ga_ls7e_ard_3-2-0_096072_2021-06-13_final
2021-06-30 08:56:45	ga_ls7e_ard_3-2-0_096072_2021-06-29_final
2021-07-16 08:55:24	ga_ls7e_ard_3-2-0_096072_2021-07-15_final
2021-08-01 08:54:00	ga_ls7e_ard_3-2-0_096072_2021-07-31_final
2021-08-17 08:52:35	ga_ls7e_ard_3-2-0_096072_2021-08-16_final
2021-09-02 08:51:12	ga_ls7e_ard_3-2-0_096072_2021-09-01_final
2021-09-18 08:49:48	ga_ls7e_ard_3-2-0_096072_2021-09-17_final
2021-10-04 08:48:22	ga_ls7e_ard_3-2-0_096072_2021-10-03_final
2021-10-20 08:46:57	ga_ls7e_ard_3-2-0_096072_2021-10-19_final
2021-11-05 08:45:28	ga_ls7e_ard_3-2-0_096072_2021-11-04_final
2021-11-21 08:43:55	ga_ls7e_ard_3-2-1_096072_2021-11-20_final
2021-12-07 08:42:24	ga_ls7e_ard_3-2-1_096072_2021-12-06_final
2021-12-23 08:40:52	ga_ls7e_ard_3-2-1_096072_2021-12-22_final
2022-01-08 08:39:16	ga_ls7e_ard_3-2-1_096072_2022-01-07_final
2022-01-24 08:37:45	ga_ls7e_ard_3-2-1_096072_2022-01-23_final
2022-02-09 08:36:09	ga_ls7e_ard_3-2-1_096072_2022-02-08_final
2022-02-25 08:34:34	ga_ls7e_ard_3-2-1_096072_2022-02-24_final
2022-03-13 08:32:59	ga_ls7e_ard_3-2-1_096072_2022-03-12_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