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
2008-07-27 09:01:47	ga_ls7e_ard_3-0-0_089080_2008-07-26_final
2008-07-27 09:02:11	ga_ls7e_ard_3-1-0_089081_2008-07-26_final
2008-07-27 09:02:35	ga_ls7e_ard_3-0-0_089082_2008-07-26_final
2008-07-27 09:02:59	ga_ls7e_ard_3-0-0_089083_2008-07-26_final
2008-07-27 09:03:23	ga_ls7e_ard_3-0-0_089084_2008-07-26_final
2008-09-20 09:06:22	ga_ls7e_ard_3-0-0_090077_2008-09-19_final
2008-09-20 09:06:45	ga_ls7e_ard_3-0-0_090078_2008-09-19_final
2008-09-20 09:07:09	ga_ls7e_ard_3-0-0_090079_2008-09-19_final
2008-09-20 09:07:33	ga_ls7e_ard_3-0-0_090080_2008-09-19_final
2008-09-29 09:00:29	ga_ls7e_ard_3-0-0_089078_2008-09-28_final
2008-09-29 09:00:53	ga_ls7e_ard_3-0-0_089079_2008-09-28_final
2008-09-29 09:01:17	ga_ls7e_ard_3-0-0_089080_2008-09-28_final
2008-09-29 09:01:41	ga_ls7e_ard_3-1-0_089081_2008-09-28_final
2008-09-29 09:02:05	ga_ls7e_ard_3-0-0_089082_2008-09-28_final
2008-09-29 09:02:29	ga_ls7e_ard_3-0-0_089083_2008-09-28_final
2008-09-29 09:02:53	ga_ls7e_ard_3-0-0_089084_2008-09-28_final
2008-12-09 09:06:56	ga_ls7e_ard_3-0-0_090077_2008-12-08_final
2008-12-09 09:07:20	ga_ls7e_ard_3-0-0_090078_2008-12-08_final
2008-12-09 09:07:44	ga_ls7e_ard_3-0-0_090079_2008-12-08_final
2008-12-09 09:08:07	ga_ls7e_ard_3-0-0_090080_2008-12-08_final
2009-01-28 08:56:53	ga_ls7e_ard_3-0-0_088082_2009-01-27_final
2009-02-04 09:01:54	ga_ls7e_ard_3-0-0_089079_2009-02-03_final
2009-02-04 09:02:18	ga_ls7e_ard_3-0-0_089080_2009-02-03_final
2009-02-04 09:02:42	ga_ls7e_ard_3-1-0_089081_2009-02-03_final
2009-02-04 09:03:06	ga_ls7e_ard_3-0-0_089082_2009-02-03_final
2009-02-04 09:03:30	ga_ls7e_ard_3-0-0_089083_2009-02-03_final
2009-02-04 09:03:54	ga_ls7e_ard_3-0-0_089084_2009-02-03_final
2009-03-24 09:01:56	ga_ls7e_ard_3-0-0_089078_2009-03-23_final
2009-03-24 09:02:20	ga_ls7e_ard_3-0-0_089079_2009-03-23_final
2009-03-24 09:02:44	ga_ls7e_ard_3-0-0_089080_2009-03-23_final
2009-03-24 09:03:08	ga_ls7e_ard_3-1-0_089081_2009-03-23_final
2009-03-24 09:03:32	ga_ls7e_ard_3-0-0_089082_2009-03-23_final
2009-03-24 09:03:56	ga_ls7e_ard_3-0-0_089083_2009-03-23_final
2009-03-24 09:04:20	ga_ls7e_ard_3-0-0_089084_2009-03-23_final
2018-05-02 09:23:43	ga_ls7e_ard_3-0-0_091076_2018-05-01_final
2018-05-04 09:12:31	ga_ls7e_ard_3-0-0_089079_2018-05-03_final
2018-05-04 09:12:55	ga_ls7e_ard_3-0-0_089080_2018-05-03_final
2018-05-04 09:13:19	ga_ls7e_ard_3-1-0_089081_2018-05-03_final
2018-05-04 09:13:43	ga_ls7e_ard_3-0-0_089082_2018-05-03_final
2018-05-04 09:14:07	ga_ls7e_ard_3-0-0_089083_2018-05-03_final
2018-05-04 09:14:31	ga_ls7e_ard_3-0-0_089084_2018-05-03_final
2018-05-18 09:23:27	ga_ls7e_ard_3-0-0_091076_2018-05-17_final
2018-05-20 09:12:16	ga_ls7e_ard_3-0-0_089079_2018-05-19_final
2018-05-20 09:12:40	ga_ls7e_ard_3-0-0_089080_2018-05-19_final
2018-05-20 09:13:04	ga_ls7e_ard_3-1-0_089081_2018-05-19_final
2018-05-20 09:13:28	ga_ls7e_ard_3-0-0_089082_2018-05-19_final
2018-05-20 09:13:52	ga_ls7e_ard_3-0-0_089083_2018-05-19_final
2018-05-20 09:14:16	ga_ls7e_ard_3-0-0_089084_2018-05-19_final
2018-05-27 09:17:32	ga_ls7e_ard_3-0-0_090077_2018-05-26_final
2018-05-27 09:17:56	ga_ls7e_ard_3-0-0_090078_2018-05-26_final
2018-05-27 09:18:20	ga_ls7e_ard_3-0-0_090079_2018-05-26_final
2018-05-27 09:18:44	ga_ls7e_ard_3-0-0_090080_2018-05-26_final
2018-06-03 09:23:12	ga_ls7e_ard_3-0-0_091076_2018-06-02_final
2018-06-05 09:12:00	ga_ls7e_ard_3-0-0_089079_2018-06-04_final
2018-06-05 09:12:24	ga_ls7e_ard_3-0-0_089080_2018-06-04_final
2018-06-05 09:12:48	ga_ls7e_ard_3-1-0_089081_2018-06-04_final
2018-06-05 09:13:12	ga_ls7e_ard_3-0-0_089082_2018-06-04_final
2018-06-28 09:16:57	ga_ls7e_ard_3-0-0_090077_2018-06-27_final
2018-06-28 09:17:21	ga_ls7e_ard_3-0-0_090078_2018-06-27_final
2018-06-28 09:17:45	ga_ls7e_ard_3-0-0_090079_2018-06-27_final
2018-06-28 09:18:09	ga_ls7e_ard_3-0-0_090080_2018-06-27_final
2018-07-07 09:11:47	ga_ls7e_ard_3-0-0_089080_2018-07-06_final
2018-07-07 09:12:11	ga_ls7e_ard_3-1-0_089081_2018-07-06_final
2018-07-07 09:12:35	ga_ls7e_ard_3-0-0_089082_2018-07-06_final
2018-07-07 09:12:59	ga_ls7e_ard_3-0-0_089083_2018-07-06_final
2018-07-07 09:13:23	ga_ls7e_ard_3-0-0_089084_2018-07-06_final
2018-07-14 09:16:38	ga_ls7e_ard_3-0-0_090077_2018-07-13_final
2018-07-14 09:17:02	ga_ls7e_ard_3-0-0_090078_2018-07-13_final
2018-07-14 09:17:26	ga_ls7e_ard_3-0-0_090079_2018-07-13_final
2018-07-14 09:17:50	ga_ls7e_ard_3-0-0_090080_2018-07-13_final
2018-07-21 09:22:18	ga_ls7e_ard_3-0-0_091076_2018-07-20_final
2018-07-30 09:16:22	ga_ls7e_ard_3-0-0_090077_2018-07-29_final
2018-07-30 09:16:46	ga_ls7e_ard_3-0-0_090078_2018-07-29_final
2018-07-30 09:17:10	ga_ls7e_ard_3-0-0_090079_2018-07-29_final
2018-07-30 09:17:34	ga_ls7e_ard_3-0-0_090080_2018-07-29_final
2018-08-06 09:22:01	ga_ls7e_ard_3-0-0_091076_2018-08-05_final
2018-08-15 09:16:04	ga_ls7e_ard_3-0-0_090077_2018-08-14_final
2018-08-15 09:16:28	ga_ls7e_ard_3-0-0_090078_2018-08-14_final
2018-08-15 09:16:52	ga_ls7e_ard_3-0-0_090079_2018-08-14_final
2018-08-15 09:17:16	ga_ls7e_ard_3-0-0_090080_2018-08-14_final
2018-08-31 09:15:45	ga_ls7e_ard_3-0-0_090077_2018-08-30_final
2018-08-31 09:16:09	ga_ls7e_ard_3-0-0_090078_2018-08-30_final
2018-09-23 09:21:01	ga_ls7e_ard_3-0-0_091076_2018-09-22_final
2018-09-25 09:11:24	ga_ls7e_ard_3-0-0_089083_2018-09-24_final
2018-09-25 09:11:48	ga_ls7e_ard_3-0-0_089084_2018-09-24_final
2018-10-02 09:15:01	ga_ls7e_ard_3-0-0_090077_2018-10-01_final
2018-10-02 09:15:25	ga_ls7e_ard_3-0-0_090078_2018-10-01_final
2018-10-02 09:15:49	ga_ls7e_ard_3-0-0_090079_2018-10-01_final
2018-10-02 09:16:13	ga_ls7e_ard_3-0-0_090080_2018-10-01_final
2018-10-09 09:20:38	ga_ls7e_ard_3-0-0_091076_2018-10-08_final
2018-10-11 09:09:25	ga_ls7e_ard_3-0-0_089079_2018-10-10_final
2018-10-25 09:20:16	ga_ls7e_ard_3-0-0_091076_2018-10-24_final
2019-03-11 09:10:35	ga_ls7e_ard_3-1-0_090077_2019-03-10_final
2019-03-11 09:10:59	ga_ls7e_ard_3-1-0_090078_2019-03-10_final
2019-03-11 09:11:23	ga_ls7e_ard_3-1-0_090079_2019-03-10_final
2019-03-11 09:11:47	ga_ls7e_ard_3-1-0_090080_2019-03-10_final
2019-04-05 09:04:21	ga_ls7e_ard_3-0-0_089079_2019-04-04_final
2019-04-05 09:04:45	ga_ls7e_ard_3-0-0_089080_2019-04-04_final
2019-04-05 09:05:09	ga_ls7e_ard_3-1-0_089081_2019-04-04_final
2019-04-05 09:05:33	ga_ls7e_ard_3-0-0_089082_2019-04-04_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