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
2017-03-06 11:44:33	ga_ls7e_ard_3-0-0_113084_2017-03-06_final
2017-03-29 11:49:39	ga_ls7e_ard_3-0-0_114081_2017-03-29_final
2017-04-05 11:53:52	ga_ls7e_ard_3-0-0_115076_2017-04-05_final
2017-04-05 11:54:16	ga_ls7e_ard_3-0-0_115077_2017-04-05_final
2017-04-05 11:54:40	ga_ls7e_ard_3-0-0_115078_2017-04-05_final
2017-04-05 11:55:03	ga_ls7e_ard_3-0-0_115079_2017-04-05_final
2017-04-07 11:44:43	ga_ls7e_ard_3-0-0_113084_2017-04-07_final
2017-04-23 11:44:50	ga_ls7e_ard_3-0-0_113084_2017-04-23_final
2017-05-07 11:54:04	ga_ls7e_ard_3-0-0_115076_2017-05-07_final
2017-05-07 11:54:28	ga_ls7e_ard_3-0-0_115077_2017-05-07_final
2017-05-07 11:54:52	ga_ls7e_ard_3-0-0_115078_2017-05-07_final
2017-05-07 11:55:16	ga_ls7e_ard_3-0-0_115079_2017-05-07_final
2017-08-11 11:54:13	ga_ls7e_ard_3-0-0_115076_2017-08-11_final
2017-08-11 11:54:37	ga_ls7e_ard_3-0-0_115077_2017-08-11_final
2017-08-11 11:55:01	ga_ls7e_ard_3-0-0_115078_2017-08-11_final
2017-08-11 11:55:25	ga_ls7e_ard_3-0-0_115079_2017-08-11_final
2017-08-13 11:45:02	ga_ls7e_ard_3-0-0_113084_2017-08-13_final
2017-08-27 11:54:13	ga_ls7e_ard_3-0-0_115076_2017-08-27_final
2017-08-27 11:54:37	ga_ls7e_ard_3-1-0_115077_2017-08-27_final
2017-08-29 11:45:03	ga_ls7e_ard_3-0-0_113084_2017-08-29_final
2017-09-28 11:54:12	ga_ls7e_ard_3-0-0_115076_2017-09-28_final
2017-09-28 11:54:36	ga_ls7e_ard_3-1-0_115077_2017-09-28_final
2017-09-28 11:55:00	ga_ls7e_ard_3-0-0_115078_2017-09-28_final
2017-09-28 11:55:24	ga_ls7e_ard_3-0-0_115079_2017-09-28_final
2017-12-01 11:54:06	ga_ls7e_ard_3-0-0_115076_2017-12-01_final
2017-12-01 11:54:30	ga_ls7e_ard_3-1-0_115077_2017-12-01_final
2017-12-01 11:54:54	ga_ls7e_ard_3-0-0_115078_2017-12-01_final
2017-12-01 11:55:18	ga_ls7e_ard_3-0-0_115079_2017-12-01_final
2017-12-03 11:44:55	ga_ls7e_ard_3-0-0_113084_2017-12-03_final
2018-02-05 11:44:04	ga_ls7e_ard_3-0-0_113084_2018-02-05_final
2018-02-19 11:53:05	ga_ls7e_ard_3-0-0_115076_2018-02-19_final
2018-02-19 11:53:29	ga_ls7e_ard_3-1-0_115077_2018-02-19_final
2018-02-19 11:53:53	ga_ls7e_ard_3-0-0_115078_2018-02-19_final
2018-02-19 11:54:17	ga_ls7e_ard_3-0-0_115079_2018-02-19_final
2018-02-21 11:43:54	ga_ls7e_ard_3-0-0_113084_2018-02-21_final
2018-04-01 11:48:23	ga_ls7e_ard_3-0-0_114081_2018-04-01_final
2018-04-08 11:52:28	ga_ls7e_ard_3-0-0_115076_2018-04-08_final
2018-04-08 11:52:52	ga_ls7e_ard_3-1-0_115077_2018-04-08_final
2018-04-08 11:53:16	ga_ls7e_ard_3-0-0_115078_2018-04-08_final
2018-04-08 11:53:40	ga_ls7e_ard_3-0-0_115079_2018-04-08_final
2018-04-10 11:43:16	ga_ls7e_ard_3-0-0_113084_2018-04-10_final
2018-06-20 11:47:02	ga_ls7e_ard_3-0-0_114081_2018-06-20_final
2018-06-27 11:51:05	ga_ls7e_ard_3-0-0_115076_2018-06-27_final
2018-06-27 11:51:29	ga_ls7e_ard_3-1-0_115077_2018-06-27_final
2018-06-27 11:51:53	ga_ls7e_ard_3-0-0_115078_2018-06-27_final
2018-06-27 11:52:17	ga_ls7e_ard_3-0-0_115079_2018-06-27_final
2018-06-29 11:41:52	ga_ls7e_ard_3-0-0_113084_2018-06-29_final
2018-08-14 11:50:12	ga_ls7e_ard_3-0-0_115076_2018-08-14_final
2018-08-14 11:50:36	ga_ls7e_ard_3-1-0_115077_2018-08-14_final
2018-08-16 11:40:59	ga_ls7e_ard_3-0-0_113084_2018-08-16_final
2018-08-23 11:45:50	ga_ls7e_ard_3-0-0_114081_2018-08-23_final
2018-08-30 11:49:52	ga_ls7e_ard_3-0-0_115076_2018-08-30_final
2018-08-30 11:50:16	ga_ls7e_ard_3-1-0_115077_2018-08-30_final
2018-08-30 11:50:40	ga_ls7e_ard_3-0-0_115078_2018-08-30_final
2018-08-30 11:51:04	ga_ls7e_ard_3-0-0_115079_2018-08-30_final
2018-09-01 11:40:40	ga_ls7e_ard_3-0-0_113084_2018-09-01_final
2019-01-05 11:47:07	ga_ls7e_ard_3-1-0_115077_2019-01-05_final
2019-01-05 11:47:54	ga_ls7e_ard_3-0-0_115079_2019-01-05_final
2019-01-30 11:41:43	ga_ls7e_ard_3-0-0_114081_2019-01-30_final
2019-02-15 11:41:15	ga_ls7e_ard_3-0-0_114081_2019-02-15_final
2019-04-27 11:43:27	ga_ls7e_ard_3-1-0_115077_2019-04-27_final
2019-04-27 11:43:50	ga_ls7e_ard_3-0-0_115078_2019-04-27_final
2019-04-27 11:44:14	ga_ls7e_ard_3-0-0_115079_2019-04-27_final
2019-05-13 11:42:50	ga_ls7e_ard_3-1-0_115077_2019-05-13_final
2019-05-13 11:43:14	ga_ls7e_ard_3-0-0_115078_2019-05-13_final
2019-05-13 11:43:38	ga_ls7e_ard_3-0-0_115079_2019-05-13_final
2019-05-15 11:33:11	ga_ls7e_ard_3-0-0_113084_2019-05-15_final
2020-10-22 11:15:32	ga_ls7e_ard_3-1-0_115077_2020-10-22_final
2020-10-22 11:15:56	ga_ls7e_ard_3-1-0_115078_2020-10-22_final
2020-11-07 11:14:27	ga_ls7e_ard_3-1-0_115077_2020-11-07_final
2020-11-07 11:14:51	ga_ls7e_ard_3-1-0_115078_2020-11-07_final
2020-11-07 11:15:15	ga_ls7e_ard_3-1-0_115079_2020-11-07_final
2020-12-09 11:12:10	ga_ls7e_ard_3-1-0_115077_2020-12-09_final
2020-12-09 11:12:34	ga_ls7e_ard_3-1-0_115078_2020-12-09_final
2020-12-09 11:12:58	ga_ls7e_ard_3-1-0_115079_2020-12-09_final
2020-12-18 11:06:54	ga_ls7e_ard_3-1-0_114081_2020-12-18_final
2021-02-27 11:06:19	ga_ls7e_ard_3-2-0_115077_2021-02-27_final
2021-02-27 11:06:43	ga_ls7e_ard_3-2-0_115078_2021-02-27_final
2021-02-27 11:07:07	ga_ls7e_ard_3-2-0_115079_2021-02-27_final
2021-03-08 11:01:02	ga_ls7e_ard_3-2-0_114081_2021-03-08_final
2021-03-24 10:59:46	ga_ls7e_ard_3-2-0_114081_2021-03-24_final
2021-04-16 11:02:27	ga_ls7e_ard_3-2-0_115077_2021-04-16_final
2021-04-16 11:02:51	ga_ls7e_ard_3-2-0_115078_2021-04-16_final
2021-04-16 11:03:14	ga_ls7e_ard_3-2-0_115079_2021-04-16_final
2021-04-25 10:57:06	ga_ls7e_ard_3-2-0_114081_2021-04-25_final
2021-08-22 10:51:34	ga_ls7e_ard_3-2-0_115077_2021-08-22_final
2021-08-22 10:51:58	ga_ls7e_ard_3-2-0_115078_2021-08-22_final
2021-08-22 10:52:22	ga_ls7e_ard_3-2-0_115079_2021-08-22_final
2021-09-07 10:50:11	ga_ls7e_ard_3-2-0_115077_2021-09-07_final
2021-09-07 10:50:35	ga_ls7e_ard_3-2-0_115078_2021-09-07_final
2021-09-07 10:50:59	ga_ls7e_ard_3-2-0_115079_2021-09-07_final
2021-09-16 10:44:48	ga_ls7e_ard_3-2-0_114081_2021-09-16_final
2021-09-23 10:48:45	ga_ls7e_ard_3-2-0_115077_2021-09-23_final
2021-09-23 10:49:09	ga_ls7e_ard_3-2-0_115078_2021-09-23_final
2021-09-23 10:49:33	ga_ls7e_ard_3-2-0_115079_2021-09-23_final
2021-10-09 10:47:21	ga_ls7e_ard_3-2-0_115077_2021-10-09_final
2021-10-09 10:47:45	ga_ls7e_ard_3-2-0_115078_2021-10-09_final
2021-10-09 10:48:08	ga_ls7e_ard_3-2-0_115079_2021-10-09_final
2021-10-25 10:45:54	ga_ls7e_ard_3-2-0_115077_2021-10-25_final
2021-10-25 10:46:18	ga_ls7e_ard_3-2-0_115078_2021-10-25_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