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
2007-09-18 09:07:18	ga_ls7e_ard_3-0-0_090077_2007-09-17_final
2007-09-18 09:07:42	ga_ls7e_ard_3-0-0_090078_2007-09-17_final
2007-09-18 09:08:06	ga_ls7e_ard_3-0-0_090079_2007-09-17_final
2007-09-27 09:02:17	ga_ls7e_ard_3-0-0_089080_2007-09-26_final
2007-09-27 09:02:41	ga_ls7e_ard_3-1-0_089081_2007-09-26_final
2007-09-27 09:03:05	ga_ls7e_ard_3-0-0_089082_2007-09-26_final
2007-09-27 09:03:28	ga_ls7e_ard_3-0-0_089083_2007-09-26_final
2007-12-05 09:16:07	ga_ls7e_ard_3-0-0_092067_2007-12-04_final
2007-12-16 09:02:01	ga_ls7e_ard_3-0-0_089078_2007-12-15_final
2007-12-16 09:02:25	ga_ls7e_ard_3-0-0_089079_2007-12-15_final
2007-12-16 09:02:49	ga_ls7e_ard_3-0-0_089080_2007-12-15_final
2007-12-16 09:03:13	ga_ls7e_ard_3-1-0_089081_2007-12-15_final
2007-12-16 09:03:37	ga_ls7e_ard_3-0-0_089082_2007-12-15_final
2007-12-16 09:04:01	ga_ls7e_ard_3-0-0_089083_2007-12-15_final
2008-01-01 09:03:16	ga_ls7e_ard_3-1-0_089081_2007-12-31_final
2008-01-01 09:03:40	ga_ls7e_ard_3-0-0_089082_2007-12-31_final
2008-01-01 09:04:04	ga_ls7e_ard_3-0-0_089083_2007-12-31_final
2008-02-18 09:01:59	ga_ls7e_ard_3-0-0_089078_2008-02-17_final
2008-02-18 09:02:23	ga_ls7e_ard_3-0-0_089079_2008-02-17_final
2008-03-05 09:01:53	ga_ls7e_ard_3-0-0_089078_2008-03-04_final
2008-03-05 09:02:17	ga_ls7e_ard_3-0-0_089079_2008-03-04_final
2008-03-05 09:02:41	ga_ls7e_ard_3-0-0_089080_2008-03-04_final
2008-03-05 09:03:05	ga_ls7e_ard_3-1-0_089081_2008-03-04_final
2008-03-05 09:03:29	ga_ls7e_ard_3-0-0_089082_2008-03-04_final
2008-03-05 09:03:53	ga_ls7e_ard_3-0-0_089083_2008-03-04_final
2008-03-12 09:07:37	ga_ls7e_ard_3-0-0_090077_2008-03-11_final
2008-03-12 09:08:01	ga_ls7e_ard_3-0-0_090078_2008-03-11_final
2008-03-12 09:08:25	ga_ls7e_ard_3-0-0_090079_2008-03-11_final
2008-03-14 08:57:16	ga_ls7e_ard_3-0-0_088082_2008-03-13_final
2008-04-06 09:01:51	ga_ls7e_ard_3-0-0_089078_2008-04-05_final
2008-04-06 09:02:15	ga_ls7e_ard_3-0-0_089079_2008-04-05_final
2008-04-06 09:02:39	ga_ls7e_ard_3-0-0_089080_2008-04-05_final
2008-04-06 09:03:03	ga_ls7e_ard_3-1-0_089081_2008-04-05_final
2008-04-06 09:03:27	ga_ls7e_ard_3-0-0_089082_2008-04-05_final
2008-04-06 09:03:51	ga_ls7e_ard_3-0-0_089083_2008-04-05_final
2008-04-13 09:07:38	ga_ls7e_ard_3-0-0_090077_2008-04-12_final
2008-04-13 09:08:02	ga_ls7e_ard_3-0-0_090078_2008-04-12_final
2008-04-13 09:08:25	ga_ls7e_ard_3-0-0_090079_2008-04-12_final
2008-04-22 09:01:25	ga_ls7e_ard_3-0-0_089077_2008-04-21_final
2008-04-22 09:01:49	ga_ls7e_ard_3-0-0_089078_2008-04-21_final
2008-04-22 09:02:13	ga_ls7e_ard_3-0-0_089079_2008-04-21_final
2008-04-22 09:02:37	ga_ls7e_ard_3-0-0_089080_2008-04-21_final
2008-04-22 09:03:01	ga_ls7e_ard_3-1-0_089081_2008-04-21_final
2008-04-29 09:07:35	ga_ls7e_ard_3-0-0_090077_2008-04-28_final
2008-04-29 09:07:59	ga_ls7e_ard_3-0-0_090078_2008-04-28_final
2008-04-29 09:08:22	ga_ls7e_ard_3-0-0_090079_2008-04-28_final
2008-05-15 09:07:29	ga_ls7e_ard_3-0-0_090077_2008-05-14_final
2008-05-15 09:07:53	ga_ls7e_ard_3-0-0_090078_2008-05-14_final
2008-05-15 09:08:17	ga_ls7e_ard_3-0-0_090079_2008-05-14_final
2008-05-17 08:57:07	ga_ls7e_ard_3-0-0_088082_2008-05-16_final
2008-06-09 09:01:31	ga_ls7e_ard_3-0-0_089078_2008-06-08_final
2008-06-09 09:01:55	ga_ls7e_ard_3-0-0_089079_2008-06-08_final
2008-06-09 09:02:19	ga_ls7e_ard_3-0-0_089080_2008-06-08_final
2017-02-17 09:19:28	ga_ls7e_ard_3-0-0_090077_2017-02-16_final
2017-02-17 09:19:52	ga_ls7e_ard_3-0-0_090078_2017-02-16_final
2017-02-17 09:20:16	ga_ls7e_ard_3-0-0_090079_2017-02-16_final
2017-06-18 09:13:56	ga_ls7e_ard_3-0-0_089077_2017-06-17_final
2017-06-18 09:14:20	ga_ls7e_ard_3-0-0_089078_2017-06-17_final
2017-06-18 09:14:44	ga_ls7e_ard_3-0-0_089079_2017-06-17_final
2017-06-18 09:15:08	ga_ls7e_ard_3-0-0_089080_2017-06-17_final
2017-06-18 09:15:32	ga_ls7e_ard_3-1-0_089081_2017-06-17_final
2017-06-18 09:15:56	ga_ls7e_ard_3-0-0_089082_2017-06-17_final
2017-06-18 09:16:20	ga_ls7e_ard_3-0-0_089083_2017-06-17_final
2017-08-12 09:20:06	ga_ls7e_ard_3-0-0_090077_2017-08-11_final
2017-08-12 09:20:30	ga_ls7e_ard_3-0-0_090078_2017-08-11_final
2017-08-12 09:20:54	ga_ls7e_ard_3-0-0_090079_2017-08-11_final
2021-09-01 08:10:26	ga_ls7e_ard_3-2-0_089078_2021-08-31_final
2021-09-01 08:10:50	ga_ls7e_ard_3-2-0_089079_2021-08-31_final
2021-09-01 08:11:14	ga_ls7e_ard_3-2-0_089080_2021-08-31_final
2021-09-01 08:11:37	ga_ls7e_ard_3-2-0_089081_2021-08-31_final
2021-09-01 08:12:01	ga_ls7e_ard_3-2-0_089082_2021-08-31_final
2021-09-01 08:12:25	ga_ls7e_ard_3-2-0_089083_2021-08-31_final
2021-09-01 08:12:49	ga_ls7e_ard_3-2-0_089084_2021-08-31_final
2021-09-08 08:15:36	ga_ls7e_ard_3-2-0_090077_2021-09-07_final
2021-09-08 08:16:00	ga_ls7e_ard_3-2-0_090078_2021-09-07_final
2021-09-08 08:16:24	ga_ls7e_ard_3-2-0_090079_2021-09-07_final
2021-09-17 08:09:01	ga_ls7e_ard_3-2-0_089078_2021-09-16_final
2021-09-17 08:09:25	ga_ls7e_ard_3-2-0_089079_2021-09-16_final
2021-09-17 08:09:49	ga_ls7e_ard_3-2-0_089080_2021-09-16_final
2021-09-17 08:10:13	ga_ls7e_ard_3-2-0_089081_2021-09-16_final
2021-09-17 08:10:37	ga_ls7e_ard_3-2-0_089082_2021-09-16_final
2021-09-17 08:11:01	ga_ls7e_ard_3-2-0_089083_2021-09-16_final
2021-09-17 08:11:25	ga_ls7e_ard_3-2-0_089084_2021-09-16_final
2021-09-24 08:14:10	ga_ls7e_ard_3-2-0_090077_2021-09-23_final
2021-09-24 08:14:34	ga_ls7e_ard_3-2-0_090078_2021-09-23_final
2021-09-24 08:14:58	ga_ls7e_ard_3-2-0_090079_2021-09-23_final
2021-10-03 08:07:59	ga_ls7e_ard_3-2-0_089079_2021-10-02_final
2021-10-03 08:08:23	ga_ls7e_ard_3-2-0_089080_2021-10-02_final
2021-10-03 08:08:47	ga_ls7e_ard_3-2-0_089081_2021-10-02_final
2021-10-03 08:09:11	ga_ls7e_ard_3-2-0_089082_2021-10-02_final
2021-10-03 08:09:35	ga_ls7e_ard_3-2-0_089083_2021-10-02_final
2021-10-03 08:09:59	ga_ls7e_ard_3-2-0_089084_2021-10-02_final
2021-10-10 08:12:45	ga_ls7e_ard_3-2-0_090077_2021-10-09_final
2021-10-10 08:13:09	ga_ls7e_ard_3-2-0_090078_2021-10-09_final
2021-10-10 08:13:33	ga_ls7e_ard_3-2-0_090079_2021-10-09_final
2021-11-04 08:04:42	ga_ls7e_ard_3-2-0_089078_2021-11-03_final
2021-11-04 08:05:54	ga_ls7e_ard_3-2-0_089081_2021-11-03_final
2021-11-04 08:06:18	ga_ls7e_ard_3-2-0_089082_2021-11-03_final
2021-11-20 08:03:09	ga_ls7e_ard_3-2-1_089078_2021-11-19_final
2021-11-20 08:03:33	ga_ls7e_ard_3-2-1_089079_2021-11-19_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