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
2013-01-22 11:35:49	ga_ls7e_ard_3-0-0_113077_2013-01-22_final
2013-01-22 11:36:13	ga_ls7e_ard_3-0-0_113078_2013-01-22_final
2013-01-22 11:36:37	ga_ls7e_ard_3-0-0_113079_2013-01-22_final
2013-01-22 11:37:01	ga_ls7e_ard_3-0-0_113080_2013-01-22_final
2013-01-22 11:37:25	ga_ls7e_ard_3-0-0_113081_2013-01-22_final
2013-01-24 11:25:52	ga_ls7e_ard_3-0-0_111083_2013-01-24_final
2013-01-24 11:26:16	ga_ls7e_ard_3-0-0_111084_2013-01-24_final
2013-01-29 11:40:50	ga_ls7e_ard_3-0-0_114074_2013-01-29_final
2013-01-29 11:41:14	ga_ls7e_ard_3-0-0_114075_2013-01-29_final
2013-01-29 11:41:38	ga_ls7e_ard_3-0-0_114076_2013-01-29_final
2013-01-29 11:42:02	ga_ls7e_ard_3-0-0_114077_2013-01-29_final
2013-03-29 11:25:43	ga_ls7e_ard_3-0-0_111083_2013-03-29_final
2013-03-29 11:26:07	ga_ls7e_ard_3-0-0_111084_2013-03-29_final
2013-04-12 11:34:52	ga_ls7e_ard_3-0-0_113075_2013-04-12_final
2013-04-12 11:35:16	ga_ls7e_ard_3-0-0_113076_2013-04-12_final
2013-04-12 11:35:40	ga_ls7e_ard_3-0-0_113077_2013-04-12_final
2013-04-12 11:36:04	ga_ls7e_ard_3-0-0_113078_2013-04-12_final
2013-04-12 11:36:28	ga_ls7e_ard_3-0-0_113079_2013-04-12_final
2013-04-14 11:26:05	ga_ls7e_ard_3-0-0_111084_2013-04-14_final
2013-06-22 11:40:15	ga_ls7e_ard_3-0-0_114074_2013-06-22_final
2013-06-22 11:40:39	ga_ls7e_ard_3-0-0_114075_2013-06-22_final
2013-06-22 11:41:03	ga_ls7e_ard_3-0-0_114076_2013-06-22_final
2013-06-22 11:41:27	ga_ls7e_ard_3-0-0_114077_2013-06-22_final
2013-08-02 11:34:06	ga_ls7e_ard_3-0-0_113075_2013-08-02_final
2013-08-02 11:34:30	ga_ls7e_ard_3-0-0_113076_2013-08-02_final
2013-08-02 11:34:54	ga_ls7e_ard_3-0-0_113077_2013-08-02_final
2013-08-02 11:35:18	ga_ls7e_ard_3-0-0_113078_2013-08-02_final
2013-08-02 11:35:42	ga_ls7e_ard_3-0-0_113079_2013-08-02_final
2013-08-02 11:36:06	ga_ls7e_ard_3-0-0_113080_2013-08-02_final
2013-08-02 11:36:30	ga_ls7e_ard_3-0-0_113081_2013-08-02_final
2013-08-04 11:25:20	ga_ls7e_ard_3-0-0_111084_2013-08-04_final
2018-01-13 11:36:39	ga_ls7e_ard_3-0-0_112080_2018-01-13_final
2018-01-13 11:37:03	ga_ls7e_ard_3-0-0_112081_2018-01-13_final
2018-01-13 11:37:27	ga_ls7e_ard_3-0-0_112082_2018-01-13_final
2018-01-13 11:37:51	ga_ls7e_ard_3-0-0_112083_2018-01-13_final
2018-01-13 11:38:15	ga_ls7e_ard_3-0-0_112084_2018-01-13_final
2018-06-04 11:44:32	ga_ls7e_ard_3-0-0_114074_2018-06-04_final
2018-06-04 11:44:56	ga_ls7e_ard_3-0-0_114075_2018-06-04_final
2018-06-04 11:45:20	ga_ls7e_ard_3-0-0_114076_2018-06-04_final
2018-06-04 11:45:44	ga_ls7e_ard_3-0-0_114077_2018-06-04_final
2018-06-06 11:34:32	ga_ls7e_ard_3-0-0_112080_2018-06-06_final
2018-06-06 11:34:56	ga_ls7e_ard_3-0-0_112081_2018-06-06_final
2018-06-06 11:35:20	ga_ls7e_ard_3-0-0_112082_2018-06-06_final
2018-06-06 11:35:44	ga_ls7e_ard_3-0-0_112083_2018-06-06_final
2018-06-06 11:36:08	ga_ls7e_ard_3-1-0_112084_2018-06-06_final
2018-06-22 11:34:14	ga_ls7e_ard_3-0-0_112080_2018-06-22_final
2018-06-22 11:34:38	ga_ls7e_ard_3-0-0_112081_2018-06-22_final
2018-06-22 11:35:02	ga_ls7e_ard_3-0-0_112082_2018-06-22_final
2018-06-22 11:35:26	ga_ls7e_ard_3-0-0_112083_2018-06-22_final
2018-06-22 11:35:50	ga_ls7e_ard_3-0-0_112084_2018-06-22_final
2018-07-06 11:43:55	ga_ls7e_ard_3-0-0_114074_2018-07-06_final
2018-07-06 11:44:19	ga_ls7e_ard_3-0-0_114075_2018-07-06_final
2018-07-06 11:44:43	ga_ls7e_ard_3-0-0_114076_2018-07-06_final
2018-07-06 11:45:07	ga_ls7e_ard_3-0-0_114077_2018-07-06_final
2018-07-08 11:33:55	ga_ls7e_ard_3-0-0_112080_2018-07-08_final
2018-07-08 11:34:19	ga_ls7e_ard_3-0-0_112081_2018-07-08_final
2018-07-08 11:34:43	ga_ls7e_ard_3-0-0_112082_2018-07-08_final
2018-07-08 11:35:07	ga_ls7e_ard_3-0-0_112083_2018-07-08_final
2018-07-08 11:35:30	ga_ls7e_ard_3-0-0_112084_2018-07-08_final
2018-10-03 11:36:21	ga_ls7e_ard_3-0-0_113075_2018-10-03_final
2018-10-03 11:36:45	ga_ls7e_ard_3-0-0_113076_2018-10-03_final
2018-10-03 11:37:08	ga_ls7e_ard_3-0-0_113077_2018-10-03_final
2018-10-03 11:37:32	ga_ls7e_ard_3-0-0_113078_2018-10-03_final
2018-10-03 11:37:56	ga_ls7e_ard_3-0-0_113079_2018-10-03_final
2018-10-03 11:38:20	ga_ls7e_ard_3-0-0_113080_2018-10-03_final
2018-10-03 11:38:44	ga_ls7e_ard_3-0-0_113081_2018-10-03_final
2018-10-05 11:27:32	ga_ls7e_ard_3-0-0_111084_2018-10-05_final
2018-10-10 11:41:57	ga_ls7e_ard_3-0-0_114074_2018-10-10_final
2018-10-10 11:42:21	ga_ls7e_ard_3-0-0_114075_2018-10-10_final
2018-10-10 11:42:45	ga_ls7e_ard_3-0-0_114076_2018-10-10_final
2018-10-10 11:43:09	ga_ls7e_ard_3-0-0_114077_2018-10-10_final
2018-10-19 11:35:57	ga_ls7e_ard_3-0-0_113075_2018-10-19_final
2018-10-19 11:36:21	ga_ls7e_ard_3-0-0_113076_2018-10-19_final
2018-10-19 11:36:45	ga_ls7e_ard_3-0-0_113077_2018-10-19_final
2018-10-19 11:37:09	ga_ls7e_ard_3-0-0_113078_2018-10-19_final
2018-10-19 11:37:33	ga_ls7e_ard_3-0-0_113079_2018-10-19_final
2018-10-19 11:37:57	ga_ls7e_ard_3-0-0_113080_2018-10-19_final
2018-10-19 11:38:21	ga_ls7e_ard_3-0-0_113081_2018-10-19_final
2018-11-11 11:41:14	ga_ls7e_ard_3-0-0_114074_2018-11-11_final
2018-11-11 11:41:38	ga_ls7e_ard_3-0-0_114075_2018-11-11_final
2018-11-11 11:42:02	ga_ls7e_ard_3-0-0_114076_2018-11-11_final
2018-11-11 11:42:26	ga_ls7e_ard_3-0-0_114077_2018-11-11_final
2018-12-29 11:39:57	ga_ls7e_ard_3-0-0_114074_2018-12-29_final
2018-12-29 11:40:21	ga_ls7e_ard_3-0-0_114075_2018-12-29_final
2018-12-29 11:40:45	ga_ls7e_ard_3-0-0_114076_2018-12-29_final
2018-12-29 11:41:09	ga_ls7e_ard_3-0-0_114077_2018-12-29_final
2019-03-03 11:37:58	ga_ls7e_ard_3-1-0_114074_2019-03-03_final
2019-03-03 11:38:22	ga_ls7e_ard_3-1-0_114075_2019-03-03_final
2019-03-03 11:38:46	ga_ls7e_ard_3-1-0_114076_2019-03-03_final
2019-03-05 11:27:56	ga_ls7e_ard_3-1-0_112080_2019-03-05_final
2019-03-05 11:28:20	ga_ls7e_ard_3-1-0_112081_2019-03-05_final
2019-03-05 11:28:44	ga_ls7e_ard_3-1-0_112082_2019-03-05_final
2019-03-05 11:29:08	ga_ls7e_ard_3-1-0_112083_2019-03-05_final
2019-03-05 11:29:32	ga_ls7e_ard_3-1-0_112084_2019-03-05_final
2019-03-14 11:23:04	ga_ls7e_ard_3-1-0_111084_2019-03-14_final
2019-05-06 11:35:43	ga_ls7e_ard_3-0-0_114074_2019-05-06_final
2019-05-08 11:25:41	ga_ls7e_ard_3-0-0_112080_2019-05-08_final
2019-05-08 11:26:05	ga_ls7e_ard_3-0-0_112081_2019-05-08_final
2019-05-08 11:26:29	ga_ls7e_ard_3-0-0_112082_2019-05-08_final
2019-05-08 11:26:53	ga_ls7e_ard_3-0-0_112083_2019-05-08_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