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
2003-12-22 11:23:54	ga_ls7e_ard_3-0-0_112081_2003-12-22_final
2003-12-22 11:24:18	ga_ls7e_ard_3-0-0_112082_2003-12-22_final
2003-12-22 11:24:42	ga_ls7e_ard_3-0-0_112083_2003-12-22_final
2004-02-08 11:24:10	ga_ls7e_ard_3-0-0_112081_2004-02-08_final
2004-02-08 11:24:34	ga_ls7e_ard_3-0-0_112082_2004-02-08_final
2004-02-08 11:24:58	ga_ls7e_ard_3-0-0_112083_2004-02-08_final
2004-05-05 11:28:49	ga_ls7e_ard_3-0-0_113077_2004-05-05_final
2004-05-05 11:29:13	ga_ls7e_ard_3-0-0_113078_2004-05-05_final
2004-05-05 11:29:37	ga_ls7e_ard_3-0-0_113079_2004-05-05_final
2004-05-05 11:30:01	ga_ls7e_ard_3-0-0_113080_2004-05-05_final
2004-05-05 11:30:25	ga_ls7e_ard_3-0-0_113081_2004-05-05_final
2004-05-05 11:30:49	ga_ls7e_ard_3-0-0_113082_2004-05-05_final
2004-07-08 11:28:38	ga_ls7e_ard_3-0-0_113077_2004-07-08_final
2004-07-08 11:29:02	ga_ls7e_ard_3-0-0_113078_2004-07-08_final
2004-07-08 11:29:26	ga_ls7e_ard_3-0-0_113079_2004-07-08_final
2004-07-08 11:29:50	ga_ls7e_ard_3-0-0_113080_2004-07-08_final
2004-07-08 11:30:14	ga_ls7e_ard_3-0-0_113081_2004-07-08_final
2004-07-08 11:30:38	ga_ls7e_ard_3-0-0_113082_2004-07-08_final
2004-09-10 11:28:19	ga_ls7e_ard_3-0-0_113077_2004-09-10_final
2004-09-10 11:28:43	ga_ls7e_ard_3-0-0_113078_2004-09-10_final
2004-09-10 11:29:07	ga_ls7e_ard_3-0-0_113079_2004-09-10_final
2004-09-10 11:29:31	ga_ls7e_ard_3-0-0_113080_2004-09-10_final
2004-09-10 11:29:55	ga_ls7e_ard_3-0-0_113081_2004-09-10_final
2004-09-10 11:30:19	ga_ls7e_ard_3-0-0_113082_2004-09-10_final
2004-10-19 11:33:18	ga_ls7e_ard_3-0-0_114074_2004-10-19_final
2004-10-19 11:33:42	ga_ls7e_ard_3-0-0_114075_2004-10-19_final
2004-10-19 11:34:06	ga_ls7e_ard_3-0-0_114076_2004-10-19_final
2004-10-19 11:34:30	ga_ls7e_ard_3-0-0_114077_2004-10-19_final
2004-10-19 11:34:54	ga_ls7e_ard_3-0-0_114078_2004-10-19_final
2004-10-21 11:23:46	ga_ls7e_ard_3-0-0_112081_2004-10-21_final
2004-10-21 11:24:10	ga_ls7e_ard_3-0-0_112082_2004-10-21_final
2004-10-21 11:24:34	ga_ls7e_ard_3-0-0_112083_2004-10-21_final
2005-03-28 11:34:42	ga_ls7e_ard_3-0-0_114075_2005-03-28_final
2005-03-28 11:35:06	ga_ls7e_ard_3-0-0_114076_2005-03-28_final
2005-03-30 11:24:43	ga_ls7e_ard_3-0-0_112081_2005-03-30_final
2005-03-30 11:25:07	ga_ls7e_ard_3-0-0_112082_2005-03-30_final
2005-03-30 11:25:31	ga_ls7e_ard_3-0-0_112083_2005-03-30_final
2005-03-30 11:25:55	ga_ls7e_ard_3-1-0_112084_2005-03-30_final
2005-04-13 11:34:12	ga_ls7e_ard_3-0-0_114074_2005-04-13_final
2005-04-13 11:34:36	ga_ls7e_ard_3-0-0_114075_2005-04-13_final
2005-04-13 11:35:00	ga_ls7e_ard_3-0-0_114076_2005-04-13_final
2005-04-13 11:35:24	ga_ls7e_ard_3-0-0_114077_2005-04-13_final
2005-04-13 11:35:48	ga_ls7e_ard_3-0-0_114078_2005-04-13_final
2005-04-15 11:24:37	ga_ls7e_ard_3-0-0_112081_2005-04-15_final
2005-04-15 11:25:01	ga_ls7e_ard_3-0-0_112082_2005-04-15_final
2005-04-15 11:25:25	ga_ls7e_ard_3-1-0_112083_2005-04-15_final
2019-10-22 11:23:57	ga_ls7e_ard_3-1-0_113077_2019-10-22_final
2019-10-22 11:24:21	ga_ls7e_ard_3-1-0_113078_2019-10-22_final
2019-10-22 11:24:45	ga_ls7e_ard_3-1-0_113079_2019-10-22_final
2019-10-22 11:25:09	ga_ls7e_ard_3-1-0_113080_2019-10-22_final
2019-10-22 11:25:33	ga_ls7e_ard_3-1-0_113081_2019-10-22_final
2019-10-22 11:25:57	ga_ls7e_ard_3-1-0_113082_2019-10-22_final
2019-10-22 11:26:21	ga_ls7e_ard_3-1-0_113083_2019-10-22_final
2020-01-10 11:20:04	ga_ls7e_ard_3-1-0_113077_2020-01-10_final
2020-01-10 11:20:28	ga_ls7e_ard_3-1-0_113078_2020-01-10_final
2020-01-10 11:20:52	ga_ls7e_ard_3-1-0_113079_2020-01-10_final
2020-01-10 11:21:16	ga_ls7e_ard_3-1-0_113080_2020-01-10_final
2020-01-10 11:21:40	ga_ls7e_ard_3-1-0_113081_2020-01-10_final
2020-01-10 11:22:04	ga_ls7e_ard_3-1-0_113082_2020-01-10_final
2020-01-10 11:22:28	ga_ls7e_ard_3-1-0_113083_2020-01-10_final
2020-02-18 11:23:06	ga_ls7e_ard_3-1-0_114074_2020-02-18_final
2020-02-18 11:23:30	ga_ls7e_ard_3-1-0_114075_2020-02-18_final
2020-02-18 11:23:54	ga_ls7e_ard_3-1-0_114076_2020-02-18_final
2020-02-18 11:24:17	ga_ls7e_ard_3-1-0_114077_2020-02-18_final
2020-02-18 11:24:41	ga_ls7e_ard_3-1-0_114078_2020-02-18_final
2020-06-18 11:11:08	ga_ls7e_ard_3-1-0_113077_2020-06-18_final
2020-06-18 11:11:32	ga_ls7e_ard_3-1-0_113078_2020-06-18_final
2020-06-18 11:11:56	ga_ls7e_ard_3-1-0_113079_2020-06-18_final
2020-06-18 11:12:20	ga_ls7e_ard_3-1-0_113080_2020-06-18_final
2020-06-18 11:12:44	ga_ls7e_ard_3-1-0_113081_2020-06-18_final
2020-06-18 11:13:08	ga_ls7e_ard_3-1-0_113082_2020-06-18_final
2020-06-18 11:13:32	ga_ls7e_ard_3-1-0_113083_2020-06-18_final
2021-09-25 10:36:13	ga_ls7e_ard_3-2-0_113077_2021-09-25_final
2021-09-25 10:36:37	ga_ls7e_ard_3-2-0_113078_2021-09-25_final
2021-09-25 10:37:01	ga_ls7e_ard_3-2-0_113079_2021-09-25_final
2021-09-25 10:37:25	ga_ls7e_ard_3-2-0_113080_2021-09-25_final
2021-09-25 10:37:49	ga_ls7e_ard_3-2-0_113081_2021-09-25_final
2021-09-25 10:38:13	ga_ls7e_ard_3-2-0_113082_2021-09-25_final
2021-09-25 10:38:37	ga_ls7e_ard_3-2-0_113083_2021-09-25_final
2021-10-02 10:40:35	ga_ls7e_ard_3-2-0_114074_2021-10-02_final
2021-10-02 10:40:59	ga_ls7e_ard_3-2-0_114075_2021-10-02_final
2021-10-02 10:41:23	ga_ls7e_ard_3-2-0_114076_2021-10-02_final
2021-10-02 10:41:46	ga_ls7e_ard_3-2-0_114077_2021-10-02_final
2021-10-02 10:42:10	ga_ls7e_ard_3-2-0_114078_2021-10-02_final
2021-10-11 10:34:48	ga_ls7e_ard_3-2-0_113077_2021-10-11_final
2021-10-11 10:35:12	ga_ls7e_ard_3-2-0_113078_2021-10-11_final
2021-10-11 10:35:36	ga_ls7e_ard_3-2-0_113079_2021-10-11_final
2021-10-11 10:36:00	ga_ls7e_ard_3-2-0_113080_2021-10-11_final
2021-10-11 10:36:48	ga_ls7e_ard_3-2-0_113082_2021-10-11_final
2021-10-18 10:39:10	ga_ls7e_ard_3-2-0_114074_2021-10-18_final
2021-10-18 10:39:34	ga_ls7e_ard_3-2-0_114075_2021-10-18_final
2021-10-18 10:39:58	ga_ls7e_ard_3-2-0_114076_2021-10-18_final
2021-10-18 10:40:22	ga_ls7e_ard_3-2-0_114077_2021-10-18_final
2021-10-18 10:40:46	ga_ls7e_ard_3-2-0_114078_2021-10-18_final
2021-11-05 10:27:56	ga_ls7e_ard_3-2-0_112081_2021-11-05_final
2021-11-05 10:28:20	ga_ls7e_ard_3-2-0_112082_2021-11-05_final
2021-11-12 10:33:50	ga_ls7e_ard_3-2-1_113082_2021-11-12_final
2021-11-12 10:34:14	ga_ls7e_ard_3-2-1_113083_2021-11-12_final
2021-11-21 10:26:47	ga_ls7e_ard_3-2-1_112082_2021-11-21_final
2021-11-21 10:27:11	ga_ls7e_ard_3-2-1_112083_2021-11-21_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