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
2004-02-22 11:33:43	ga_ls7e_ard_3-0-0_114074_2004-02-22_final
2004-02-22 11:34:07	ga_ls7e_ard_3-0-0_114075_2004-02-22_final
2004-02-24 11:24:09	ga_ls7e_ard_3-0-0_112081_2004-02-24_final
2004-02-24 11:24:33	ga_ls7e_ard_3-0-0_112082_2004-02-24_final
2004-02-24 11:24:57	ga_ls7e_ard_3-0-0_112083_2004-02-24_final
2004-02-24 11:25:21	ga_ls7e_ard_3-1-0_112084_2004-02-24_final
2004-03-18 11:28:31	ga_ls7e_ard_3-0-0_113076_2004-03-18_final
2004-03-18 11:28:55	ga_ls7e_ard_3-0-0_113077_2004-03-18_final
2004-03-18 11:29:18	ga_ls7e_ard_3-0-0_113078_2004-03-18_final
2004-03-18 11:29:42	ga_ls7e_ard_3-0-0_113079_2004-03-18_final
2004-03-18 11:30:06	ga_ls7e_ard_3-0-0_113080_2004-03-18_final
2004-03-18 11:30:30	ga_ls7e_ard_3-0-0_113081_2004-03-18_final
2004-03-18 11:30:54	ga_ls7e_ard_3-0-0_113082_2004-03-18_final
2004-04-12 11:24:15	ga_ls7e_ard_3-0-0_112081_2004-04-12_final
2004-04-12 11:24:39	ga_ls7e_ard_3-0-0_112082_2004-04-12_final
2004-04-12 11:25:03	ga_ls7e_ard_3-0-0_112083_2004-04-12_final
2004-04-12 11:25:27	ga_ls7e_ard_3-1-0_112084_2004-04-12_final
2004-04-26 11:33:46	ga_ls7e_ard_3-0-0_114074_2004-04-26_final
2004-04-26 11:34:10	ga_ls7e_ard_3-0-0_114075_2004-04-26_final
2004-04-26 11:34:34	ga_ls7e_ard_3-0-0_114076_2004-04-26_final
2004-04-26 11:34:58	ga_ls7e_ard_3-0-0_114077_2004-04-26_final
2004-04-26 11:35:22	ga_ls7e_ard_3-0-0_114078_2004-04-26_final
2004-05-12 11:33:49	ga_ls7e_ard_3-0-0_114074_2004-05-12_final
2004-05-12 11:34:13	ga_ls7e_ard_3-0-0_114075_2004-05-12_final
2004-05-12 11:34:37	ga_ls7e_ard_3-0-0_114076_2004-05-12_final
2004-05-12 11:35:01	ga_ls7e_ard_3-0-0_114077_2004-05-12_final
2004-05-12 11:35:25	ga_ls7e_ard_3-0-0_114078_2004-05-12_final
2017-12-10 11:47:03	ga_ls7e_ard_3-0-0_114074_2017-12-10_final
2017-12-10 11:47:26	ga_ls7e_ard_3-0-0_114075_2017-12-10_final
2017-12-10 11:47:50	ga_ls7e_ard_3-0-0_114076_2017-12-10_final
2017-12-10 11:48:14	ga_ls7e_ard_3-0-0_114077_2017-12-10_final
2017-12-10 11:48:38	ga_ls7e_ard_3-0-0_114078_2017-12-10_final
2017-12-12 11:37:03	ga_ls7e_ard_3-0-0_112080_2017-12-12_final
2017-12-12 11:37:27	ga_ls7e_ard_3-0-0_112081_2017-12-12_final
2017-12-12 11:37:51	ga_ls7e_ard_3-0-0_112082_2017-12-12_final
2017-12-12 11:38:15	ga_ls7e_ard_3-0-0_112083_2017-12-12_final
2017-12-12 11:38:39	ga_ls7e_ard_3-1-0_112084_2017-12-12_final
2018-05-28 11:39:16	ga_ls7e_ard_3-0-0_113076_2018-05-28_final
2018-05-28 11:39:40	ga_ls7e_ard_3-0-0_113077_2018-05-28_final
2018-05-28 11:40:04	ga_ls7e_ard_3-0-0_113078_2018-05-28_final
2018-05-28 11:40:28	ga_ls7e_ard_3-0-0_113079_2018-05-28_final
2018-05-28 11:40:52	ga_ls7e_ard_3-0-0_113080_2018-05-28_final
2018-05-28 11:41:16	ga_ls7e_ard_3-0-0_113081_2018-05-28_final
2018-05-28 11:41:40	ga_ls7e_ard_3-0-0_113082_2018-05-28_final
2018-06-20 11:44:14	ga_ls7e_ard_3-0-0_114074_2018-06-20_final
2018-06-20 11:44:38	ga_ls7e_ard_3-0-0_114075_2018-06-20_final
2018-06-20 11:45:02	ga_ls7e_ard_3-0-0_114076_2018-06-20_final
2018-06-20 11:45:26	ga_ls7e_ard_3-0-0_114077_2018-06-20_final
2018-06-20 11:45:50	ga_ls7e_ard_3-0-0_114078_2018-06-20_final
2019-07-02 11:28:14	ga_ls7e_ard_3-0-0_113076_2019-07-02_final
2019-07-02 11:28:37	ga_ls7e_ard_3-0-0_113077_2019-07-02_final
2019-07-02 11:29:01	ga_ls7e_ard_3-0-0_113078_2019-07-02_final
2019-07-02 11:29:25	ga_ls7e_ard_3-0-0_113079_2019-07-02_final
2019-07-02 11:29:49	ga_ls7e_ard_3-0-0_113080_2019-07-02_final
2019-07-02 11:30:13	ga_ls7e_ard_3-0-0_113081_2019-07-02_final
2019-07-02 11:30:37	ga_ls7e_ard_3-0-0_113082_2019-07-02_final
2019-09-20 11:25:18	ga_ls7e_ard_3-1-0_113077_2019-09-20_final
2019-09-20 11:25:42	ga_ls7e_ard_3-1-0_113078_2019-09-20_final
2019-09-20 11:26:06	ga_ls7e_ard_3-1-0_113079_2019-09-20_final
2019-09-20 11:26:30	ga_ls7e_ard_3-1-0_113080_2019-09-20_final
2019-09-20 11:26:54	ga_ls7e_ard_3-1-0_113081_2019-09-20_final
2019-09-20 11:27:18	ga_ls7e_ard_3-1-0_113082_2019-09-20_final
2019-10-13 11:29:19	ga_ls7e_ard_3-1-0_114074_2019-10-13_final
2019-10-13 11:29:43	ga_ls7e_ard_3-1-0_114075_2019-10-13_final
2019-10-13 11:30:07	ga_ls7e_ard_3-1-0_114076_2019-10-13_final
2019-10-13 11:30:31	ga_ls7e_ard_3-1-0_114077_2019-10-13_final
2019-10-13 11:30:55	ga_ls7e_ard_3-1-0_114078_2019-10-13_final
2019-10-15 11:19:40	ga_ls7e_ard_3-1-0_112081_2019-10-15_final
2019-10-15 11:20:04	ga_ls7e_ard_3-1-0_112082_2019-10-15_final
2019-10-15 11:20:28	ga_ls7e_ard_3-1-0_112083_2019-10-15_final
2019-10-15 11:20:52	ga_ls7e_ard_3-1-0_112084_2019-10-15_final
2020-02-11 11:18:29	ga_ls7e_ard_3-1-0_113077_2020-02-11_final
2020-02-11 11:18:52	ga_ls7e_ard_3-1-0_113078_2020-02-11_final
2020-02-11 11:19:16	ga_ls7e_ard_3-1-0_113079_2020-02-11_final
2020-02-11 11:19:40	ga_ls7e_ard_3-1-0_113080_2020-02-11_final
2020-02-11 11:20:04	ga_ls7e_ard_3-1-0_113081_2020-02-11_final
2020-04-22 11:19:32	ga_ls7e_ard_3-1-0_114074_2020-04-22_final
2020-04-22 11:19:56	ga_ls7e_ard_3-1-0_114075_2020-04-22_final
2020-04-22 11:20:20	ga_ls7e_ard_3-1-0_114076_2020-04-22_final
2020-04-22 11:20:44	ga_ls7e_ard_3-1-0_114077_2020-04-22_final
2020-04-22 11:21:08	ga_ls7e_ard_3-1-0_114078_2020-04-22_final
2020-04-24 11:09:51	ga_ls7e_ard_3-1-0_112081_2020-04-24_final
2020-04-24 11:10:15	ga_ls7e_ard_3-1-0_112082_2020-04-24_final
2020-04-24 11:10:39	ga_ls7e_ard_3-1-0_112083_2020-04-24_final
2020-04-24 11:11:03	ga_ls7e_ard_3-1-0_112084_2020-04-24_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
2021-03-26 10:47:14	ga_ls7e_ard_3-2-0_112081_2021-03-26_final
2021-03-26 10:47:38	ga_ls7e_ard_3-2-0_112082_2021-03-26_final
2021-03-26 10:48:02	ga_ls7e_ard_3-2-0_112083_2021-03-26_final
2021-03-26 10:48:26	ga_ls7e_ard_3-2-0_112084_2021-03-26_final
2021-04-02 10:51:15	ga_ls7e_ard_3-2-0_113077_2021-04-02_final
2021-04-02 10:51:39	ga_ls7e_ard_3-2-0_113078_2021-04-02_final
2021-04-02 10:52:03	ga_ls7e_ard_3-2-0_113079_2021-04-02_final
2021-04-02 10:52:27	ga_ls7e_ard_3-2-0_113080_2021-04-02_final
2021-04-02 10:52:51	ga_ls7e_ard_3-2-0_113081_2021-04-02_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