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
2013-01-13 11:40:46	ga_ls7e_ard_3-0-0_114074_2013-01-13_final
2013-01-13 11:41:10	ga_ls7e_ard_3-0-0_114075_2013-01-13_final
2013-01-13 11:41:34	ga_ls7e_ard_3-0-0_114076_2013-01-13_final
2013-01-13 11:41:58	ga_ls7e_ard_3-0-0_114077_2013-01-13_final
2013-01-13 11:42:22	ga_ls7e_ard_3-0-0_114078_2013-01-13_final
2013-01-15 11:31:11	ga_ls7e_ard_3-0-0_112081_2013-01-15_final
2013-01-15 11:31:35	ga_ls7e_ard_3-0-0_112082_2013-01-15_final
2013-01-15 11:31:59	ga_ls7e_ard_3-0-0_112083_2013-01-15_final
2013-01-15 11:32:23	ga_ls7e_ard_3-0-0_112084_2013-01-15_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
2013-01-29 11:42:26	ga_ls7e_ard_3-0-0_114078_2013-01-29_final
2013-02-07 11:35:27	ga_ls7e_ard_3-0-0_113076_2013-02-07_final
2013-02-07 11:35:51	ga_ls7e_ard_3-0-0_113077_2013-02-07_final
2013-02-07 11:36:15	ga_ls7e_ard_3-0-0_113078_2013-02-07_final
2013-02-07 11:36:39	ga_ls7e_ard_3-0-0_113079_2013-02-07_final
2013-02-07 11:37:03	ga_ls7e_ard_3-0-0_113080_2013-02-07_final
2013-02-07 11:37:27	ga_ls7e_ard_3-0-0_113081_2013-02-07_final
2013-02-07 11:37:51	ga_ls7e_ard_3-0-0_113082_2013-02-07_final
2013-02-16 11:31:15	ga_ls7e_ard_3-0-0_112081_2013-02-16_final
2013-02-16 11:31:39	ga_ls7e_ard_3-0-0_112082_2013-02-16_final
2013-02-16 11:32:03	ga_ls7e_ard_3-0-0_112083_2013-02-16_final
2013-02-16 11:32:27	ga_ls7e_ard_3-0-0_112084_2013-02-16_final
2013-03-29 11:26:07	ga_ls7e_ard_3-0-0_111084_2013-03-29_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
2013-05-07 11:30:57	ga_ls7e_ard_3-0-0_112081_2013-05-07_final
2013-05-07 11:31:21	ga_ls7e_ard_3-0-0_112082_2013-05-07_final
2013-05-07 11:31:45	ga_ls7e_ard_3-0-0_112083_2013-05-07_final
2013-05-07 11:32:09	ga_ls7e_ard_3-0-0_112084_2013-05-07_final
2013-05-30 11:35:01	ga_ls7e_ard_3-0-0_113076_2013-05-30_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
2013-06-22 11:41:50	ga_ls7e_ard_3-0-0_114078_2013-06-22_final
2013-06-24 11:31:04	ga_ls7e_ard_3-0-0_112082_2013-06-24_final
2013-06-24 11:31:28	ga_ls7e_ard_3-0-0_112083_2013-06-24_final
2013-06-24 11:31:52	ga_ls7e_ard_3-0-0_112084_2013-06-24_final
2013-07-17 11:34:37	ga_ls7e_ard_3-0-0_113076_2013-07-17_final
2013-07-17 11:35:01	ga_ls7e_ard_3-0-0_113077_2013-07-17_final
2013-07-17 11:35:25	ga_ls7e_ard_3-0-0_113078_2013-07-17_final
2013-07-17 11:35:49	ga_ls7e_ard_3-0-0_113079_2013-07-17_final
2013-07-17 11:36:13	ga_ls7e_ard_3-0-0_113080_2013-07-17_final
2013-07-17 11:36:37	ga_ls7e_ard_3-0-0_113081_2013-07-17_final
2013-07-17 11:37:01	ga_ls7e_ard_3-0-0_113082_2013-07-17_final
2017-05-09 11:41:43	ga_ls7e_ard_3-0-0_113076_2017-05-09_final
2017-05-09 11:42:07	ga_ls7e_ard_3-0-0_113077_2017-05-09_final
2017-05-09 11:42:31	ga_ls7e_ard_3-0-0_113078_2017-05-09_final
2017-05-09 11:42:55	ga_ls7e_ard_3-0-0_113079_2017-05-09_final
2017-05-09 11:43:19	ga_ls7e_ard_3-0-0_113080_2017-05-09_final
2017-05-09 11:43:43	ga_ls7e_ard_3-0-0_113081_2017-05-09_final
2017-05-16 11:47:07	ga_ls7e_ard_3-0-0_114074_2017-05-16_final
2017-06-12 11:32:41	ga_ls7e_ard_3-0-0_111084_2017-06-12_final
2017-06-28 11:32:43	ga_ls7e_ard_3-0-0_111084_2017-06-28_final
2017-07-03 11:47:17	ga_ls7e_ard_3-0-0_114074_2017-07-03_final
2017-07-03 11:47:41	ga_ls7e_ard_3-0-0_114075_2017-07-03_final
2017-07-03 11:48:05	ga_ls7e_ard_3-0-0_114076_2017-07-03_final
2017-07-03 11:48:29	ga_ls7e_ard_3-0-0_114077_2017-07-03_final
2017-07-03 11:48:53	ga_ls7e_ard_3-0-0_114078_2017-07-03_final
2017-07-28 11:41:53	ga_ls7e_ard_3-0-0_113076_2017-07-28_final
2017-07-28 11:42:17	ga_ls7e_ard_3-0-0_113077_2017-07-28_final
2017-07-28 11:42:41	ga_ls7e_ard_3-0-0_113078_2017-07-28_final
2017-07-28 11:43:05	ga_ls7e_ard_3-0-0_113079_2017-07-28_final
2017-07-28 11:43:29	ga_ls7e_ard_3-0-0_113080_2017-07-28_final
2017-07-28 11:43:53	ga_ls7e_ard_3-0-0_113081_2017-07-28_final
2017-07-28 11:44:17	ga_ls7e_ard_3-0-0_113082_2017-07-28_final
2017-07-30 11:32:43	ga_ls7e_ard_3-0-0_111084_2017-07-30_final
2017-08-20 11:47:14	ga_ls7e_ard_3-0-0_114074_2017-08-20_final
2017-08-20 11:47:38	ga_ls7e_ard_3-0-0_114075_2017-08-20_final
2017-08-20 11:48:02	ga_ls7e_ard_3-0-0_114076_2017-08-20_final
2017-08-20 11:48:26	ga_ls7e_ard_3-0-0_114077_2017-08-20_final
2017-08-20 11:48:50	ga_ls7e_ard_3-0-0_114078_2017-08-20_final
2017-08-22 11:37:40	ga_ls7e_ard_3-0-0_112081_2017-08-22_final
2017-08-22 11:38:04	ga_ls7e_ard_3-0-0_112082_2017-08-22_final
2017-08-22 11:38:28	ga_ls7e_ard_3-0-0_112083_2017-08-22_final
2017-08-22 11:38:52	ga_ls7e_ard_3-0-0_112084_2017-08-22_final
2017-09-30 11:41:50	ga_ls7e_ard_3-0-0_113076_2017-09-30_final
2017-09-30 11:42:14	ga_ls7e_ard_3-0-0_113077_2017-09-30_final
2017-09-30 11:42:38	ga_ls7e_ard_3-0-0_113078_2017-09-30_final
2017-09-30 11:43:02	ga_ls7e_ard_3-0-0_113079_2017-09-30_final
2017-09-30 11:43:26	ga_ls7e_ard_3-0-0_113080_2017-09-30_final
2017-09-30 11:43:50	ga_ls7e_ard_3-0-0_113081_2017-09-30_final
2017-09-30 11:44:14	ga_ls7e_ard_3-0-0_113082_2017-09-30_final
2018-02-05 11:40:52	ga_ls7e_ard_3-0-0_113076_2018-02-05_final
2018-02-05 11:41:16	ga_ls7e_ard_3-0-0_113077_2018-02-05_final
2018-02-05 11:41:40	ga_ls7e_ard_3-0-0_113078_2018-02-05_final
2018-02-05 11:42:04	ga_ls7e_ard_3-0-0_113079_2018-02-05_final
2018-02-05 11:42:28	ga_ls7e_ard_3-0-0_113080_2018-02-05_final
2018-02-05 11:43:16	ga_ls7e_ard_3-0-0_113082_2018-02-05_final
2018-02-07 11:31:40	ga_ls7e_ard_3-0-0_111084_2018-02-07_final
2018-04-10 11:40:04	ga_ls7e_ard_3-0-0_113076_2018-04-10_final
2018-04-10 11:40:52	ga_ls7e_ard_3-0-0_113078_2018-04-10_final
2018-04-10 11:41:16	ga_ls7e_ard_3-0-0_113079_2018-04-10_final
2018-04-10 11:41:40	ga_ls7e_ard_3-0-0_113080_2018-04-10_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