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
2015-09-09 11:39:32	ga_ls7e_ard_3-0-0_113077_2015-09-09_final
2015-09-09 11:39:56	ga_ls7e_ard_3-0-0_113078_2015-09-09_final
2015-09-09 11:40:20	ga_ls7e_ard_3-0-0_113079_2015-09-09_final
2015-09-09 11:40:44	ga_ls7e_ard_3-1-0_113080_2015-09-09_final
2015-09-09 11:41:08	ga_ls7e_ard_3-0-0_113081_2015-09-09_final
2015-09-09 11:41:32	ga_ls7e_ard_3-0-0_113082_2015-09-09_final
2015-09-25 11:39:37	ga_ls7e_ard_3-0-0_113077_2015-09-25_final
2015-09-25 11:40:00	ga_ls7e_ard_3-0-0_113078_2015-09-25_final
2015-09-25 11:40:24	ga_ls7e_ard_3-0-0_113079_2015-09-25_final
2015-09-25 11:40:48	ga_ls7e_ard_3-0-0_113080_2015-09-25_final
2015-09-25 11:41:12	ga_ls7e_ard_3-0-0_113081_2015-09-25_final
2015-09-25 11:41:36	ga_ls7e_ard_3-0-0_113082_2015-09-25_final
2015-10-02 11:44:33	ga_ls7e_ard_3-0-0_114074_2015-10-02_final
2015-10-02 11:44:56	ga_ls7e_ard_3-0-0_114075_2015-10-02_final
2015-10-02 11:45:20	ga_ls7e_ard_3-0-0_114076_2015-10-02_final
2015-10-02 11:45:44	ga_ls7e_ard_3-0-0_114077_2015-10-02_final
2015-10-02 11:46:08	ga_ls7e_ard_3-0-0_114078_2015-10-02_final
2015-10-04 11:35:01	ga_ls7e_ard_3-0-0_112081_2015-10-04_final
2015-10-04 11:35:25	ga_ls7e_ard_3-0-0_112082_2015-10-04_final
2015-10-04 11:35:49	ga_ls7e_ard_3-0-0_112083_2015-10-04_final
2015-10-04 11:36:13	ga_ls7e_ard_3-1-0_112084_2015-10-04_final
2015-10-13 11:30:14	ga_ls7e_ard_3-0-0_111084_2015-10-13_final
2015-12-16 11:31:16	ga_ls7e_ard_3-0-0_111084_2015-12-16_final
2016-02-16 11:41:31	ga_ls7e_ard_3-0-0_113077_2016-02-16_final
2016-02-16 11:41:55	ga_ls7e_ard_3-0-0_113078_2016-02-16_final
2016-02-16 11:42:19	ga_ls7e_ard_3-0-0_113079_2016-02-16_final
2016-02-16 11:42:43	ga_ls7e_ard_3-0-0_113080_2016-02-16_final
2016-02-16 11:43:07	ga_ls7e_ard_3-0-0_113081_2016-02-16_final
2016-02-16 11:43:31	ga_ls7e_ard_3-0-0_113082_2016-02-16_final
2016-03-28 11:37:37	ga_ls7e_ard_3-0-0_112082_2016-03-28_final
2016-07-09 11:42:12	ga_ls7e_ard_3-0-0_113077_2016-07-09_final
2016-07-09 11:43:00	ga_ls7e_ard_3-0-0_113079_2016-07-09_final
2016-07-09 11:43:24	ga_ls7e_ard_3-0-0_113080_2016-07-09_final
2016-07-09 11:43:48	ga_ls7e_ard_3-0-0_113081_2016-07-09_final
2016-07-09 11:44:12	ga_ls7e_ard_3-0-0_113082_2016-07-09_final
2016-07-18 11:37:38	ga_ls7e_ard_3-0-0_112081_2016-07-18_final
2016-07-18 11:38:02	ga_ls7e_ard_3-0-0_112082_2016-07-18_final
2016-07-18 11:38:26	ga_ls7e_ard_3-0-0_112083_2016-07-18_final
2016-07-18 11:38:50	ga_ls7e_ard_3-0-0_112084_2016-07-18_final
2016-08-17 11:47:15	ga_ls7e_ard_3-0-0_114074_2016-08-17_final
2016-08-17 11:47:39	ga_ls7e_ard_3-0-0_114075_2016-08-17_final
2016-08-17 11:48:03	ga_ls7e_ard_3-0-0_114076_2016-08-17_final
2016-08-17 11:48:27	ga_ls7e_ard_3-0-0_114077_2016-08-17_final
2016-08-17 11:48:51	ga_ls7e_ard_3-0-0_114078_2016-08-17_final
2016-08-19 11:37:41	ga_ls7e_ard_3-0-0_112081_2016-08-19_final
2016-08-19 11:38:29	ga_ls7e_ard_3-0-0_112083_2016-08-19_final
2016-08-19 11:38:53	ga_ls7e_ard_3-0-0_112084_2016-08-19_final
2016-08-26 11:42:18	ga_ls7e_ard_3-0-0_113077_2016-08-26_final
2016-08-26 11:42:42	ga_ls7e_ard_3-0-0_113078_2016-08-26_final
2016-08-26 11:43:06	ga_ls7e_ard_3-0-0_113079_2016-08-26_final
2016-08-26 11:43:30	ga_ls7e_ard_3-0-0_113080_2016-08-26_final
2016-08-26 11:43:54	ga_ls7e_ard_3-0-0_113081_2016-08-26_final
2016-09-02 11:47:19	ga_ls7e_ard_3-0-0_114074_2016-09-02_final
2016-09-02 11:47:43	ga_ls7e_ard_3-0-0_114075_2016-09-02_final
2016-09-02 11:48:07	ga_ls7e_ard_3-0-0_114076_2016-09-02_final
2016-09-02 11:48:31	ga_ls7e_ard_3-0-0_114077_2016-09-02_final
2016-09-02 11:48:55	ga_ls7e_ard_3-0-0_114078_2016-09-02_final
2016-09-27 11:42:23	ga_ls7e_ard_3-0-0_113077_2016-09-27_final
2016-09-27 11:42:47	ga_ls7e_ard_3-0-0_113078_2016-09-27_final
2016-09-27 11:43:11	ga_ls7e_ard_3-0-0_113079_2016-09-27_final
2016-09-27 11:43:35	ga_ls7e_ard_3-0-0_113080_2016-09-27_final
2016-09-27 11:43:59	ga_ls7e_ard_3-0-0_113081_2016-09-27_final
2016-09-27 11:44:23	ga_ls7e_ard_3-0-0_113082_2016-09-27_final
2016-10-20 11:47:21	ga_ls7e_ard_3-0-0_114074_2016-10-20_final
2016-10-20 11:47:45	ga_ls7e_ard_3-0-0_114075_2016-10-20_final
2016-10-20 11:48:09	ga_ls7e_ard_3-0-0_114076_2016-10-20_final
2016-10-20 11:48:33	ga_ls7e_ard_3-0-0_114077_2016-10-20_final
2016-10-20 11:48:57	ga_ls7e_ard_3-0-0_114078_2016-10-20_final
2016-10-22 11:37:47	ga_ls7e_ard_3-0-0_112081_2016-10-22_final
2016-10-22 11:38:11	ga_ls7e_ard_3-0-0_112082_2016-10-22_final
2016-10-22 11:38:35	ga_ls7e_ard_3-0-0_112083_2016-10-22_final
2016-10-22 11:38:59	ga_ls7e_ard_3-0-0_112084_2016-10-22_final
2016-11-23 11:37:35	ga_ls7e_ard_3-0-0_112081_2016-11-23_final
2016-11-23 11:37:59	ga_ls7e_ard_3-0-0_112082_2016-11-23_final
2016-11-23 11:38:23	ga_ls7e_ard_3-0-0_112083_2016-11-23_final
2016-11-23 11:38:47	ga_ls7e_ard_3-1-0_112084_2016-11-23_final
2017-01-08 11:46:51	ga_ls7e_ard_3-0-0_114074_2017-01-08_final
2017-01-08 11:47:15	ga_ls7e_ard_3-0-0_114075_2017-01-08_final
2017-01-08 11:47:39	ga_ls7e_ard_3-0-0_114076_2017-01-08_final
2017-01-08 11:48:03	ga_ls7e_ard_3-0-0_114077_2017-01-08_final
2017-01-08 11:48:27	ga_ls7e_ard_3-0-0_114078_2017-01-08_final
2019-07-16 11:39:15	ga_ls7e_ard_3-0-0_115074_2019-07-16_final
2019-07-18 11:28:00	ga_ls7e_ard_3-0-0_113077_2019-07-18_final
2019-07-18 11:28:24	ga_ls7e_ard_3-0-0_113078_2019-07-18_final
2019-07-18 11:28:48	ga_ls7e_ard_3-0-0_113079_2019-07-18_final
2019-07-18 11:29:12	ga_ls7e_ard_3-0-0_113080_2019-07-18_final
2019-07-18 11:29:36	ga_ls7e_ard_3-0-0_113081_2019-07-18_final
2019-07-18 11:30:00	ga_ls7e_ard_3-0-0_113082_2019-07-18_final
2019-07-18 11:30:24	ga_ls7e_ard_3-0-0_113083_2019-07-18_final
2019-11-05 11:34:30	ga_ls7e_ard_3-1-0_115074_2019-11-05_final
2019-11-07 11:23:15	ga_ls7e_ard_3-1-0_113077_2019-11-07_final
2019-11-07 11:23:39	ga_ls7e_ard_3-1-0_113078_2019-11-07_final
2019-11-07 11:24:03	ga_ls7e_ard_3-1-0_113079_2019-11-07_final
2019-11-07 11:24:27	ga_ls7e_ard_3-1-0_113080_2019-11-07_final
2019-11-07 11:24:50	ga_ls7e_ard_3-1-0_113081_2019-11-07_final
2019-11-07 11:25:14	ga_ls7e_ard_3-1-0_113082_2019-11-07_final
2019-11-07 11:25:38	ga_ls7e_ard_3-1-0_113083_2019-11-07_final
2019-12-02 11:17:29	ga_ls7e_ard_3-1-0_112081_2019-12-02_final
2019-12-02 11:17:53	ga_ls7e_ard_3-1-0_112082_2019-12-02_final
2019-12-02 11:18:17	ga_ls7e_ard_3-1-0_112083_2019-12-02_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