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
2009-08-31 09:06:17	ga_ls7e_ard_3-1-0_089089_2009-08-30_final
2009-08-31 09:06:41	ga_ls7e_ard_3-0-0_089090_2009-08-30_final
2009-09-03 09:28:24	ga_ls7e_ard_3-0-0_094067_2009-09-02_final
2009-09-05 09:19:14	ga_ls7e_ard_3-0-0_092075_2009-09-04_final
2009-09-05 09:19:38	ga_ls7e_ard_3-0-0_092076_2009-09-04_final
2009-09-05 09:20:02	ga_ls7e_ard_3-0-0_092077_2009-09-04_final
2009-09-05 09:20:26	ga_ls7e_ard_3-0-0_092078_2009-09-04_final
2009-09-05 09:20:50	ga_ls7e_ard_3-0-0_092079_2009-09-04_final
2009-09-30 09:13:48	ga_ls7e_ard_3-0-0_091077_2009-09-29_final
2009-09-30 09:14:12	ga_ls7e_ard_3-0-0_091078_2009-09-29_final
2009-09-30 09:14:36	ga_ls7e_ard_3-0-0_091079_2009-09-29_final
2009-09-30 09:15:00	ga_ls7e_ard_3-0-0_091080_2009-09-29_final
2009-09-30 09:15:24	ga_ls7e_ard_3-0-0_091081_2009-09-29_final
2009-09-30 09:15:48	ga_ls7e_ard_3-0-0_091082_2009-09-29_final
2009-09-30 09:16:12	ga_ls7e_ard_3-0-0_091083_2009-09-29_final
2009-11-10 09:10:02	ga_ls7e_ard_3-0-0_090082_2009-11-09_final
2009-11-10 09:10:26	ga_ls7e_ard_3-0-0_090083_2009-11-09_final
2009-11-10 09:10:50	ga_ls7e_ard_3-0-0_090084_2009-11-09_final
2009-11-10 09:11:14	ga_ls7e_ard_3-0-0_090085_2009-11-09_final
2009-11-10 09:11:38	ga_ls7e_ard_3-0-0_090086_2009-11-09_final
2010-03-07 09:26:55	ga_ls7e_ard_3-0-0_093074_2010-03-06_final
2010-03-09 09:15:46	ga_ls7e_ard_3-0-0_091077_2010-03-08_final
2010-03-09 09:16:10	ga_ls7e_ard_3-0-0_091078_2010-03-08_final
2010-03-09 09:16:34	ga_ls7e_ard_3-0-0_091079_2010-03-08_final
2010-03-09 09:16:58	ga_ls7e_ard_3-0-0_091080_2010-03-08_final
2010-03-09 09:17:22	ga_ls7e_ard_3-0-0_091081_2010-03-08_final
2010-03-09 09:17:46	ga_ls7e_ard_3-0-0_091082_2010-03-08_final
2010-03-09 09:18:10	ga_ls7e_ard_3-0-0_091083_2010-03-08_final
2010-03-11 09:06:37	ga_ls7e_ard_3-0-0_089085_2010-03-10_final
2010-03-11 09:07:01	ga_ls7e_ard_3-0-0_089086_2010-03-10_final
2010-03-16 09:21:12	ga_ls7e_ard_3-0-0_092075_2010-03-15_final
2010-03-16 09:21:36	ga_ls7e_ard_3-0-0_092076_2010-03-15_final
2010-03-16 09:22:00	ga_ls7e_ard_3-0-0_092077_2010-03-15_final
2010-03-16 09:22:24	ga_ls7e_ard_3-0-0_092078_2010-03-15_final
2010-03-16 09:22:47	ga_ls7e_ard_3-0-0_092079_2010-03-15_final
2010-04-17 09:21:16	ga_ls7e_ard_3-0-0_092075_2010-04-16_final
2010-04-17 09:21:40	ga_ls7e_ard_3-0-0_092076_2010-04-16_final
2010-04-17 09:22:04	ga_ls7e_ard_3-0-0_092077_2010-04-16_final
2010-04-17 09:22:28	ga_ls7e_ard_3-0-0_092078_2010-04-16_final
2010-04-17 09:22:52	ga_ls7e_ard_3-0-0_092079_2010-04-16_final
2017-03-03 09:31:09	ga_ls7e_ard_3-0-0_092075_2017-03-03_final
2017-03-03 09:31:33	ga_ls7e_ard_3-0-0_092076_2017-03-03_final
2017-03-03 09:31:57	ga_ls7e_ard_3-0-0_092077_2017-03-03_final
2017-03-03 09:32:21	ga_ls7e_ard_3-0-0_092078_2017-03-03_final
2017-03-03 09:32:45	ga_ls7e_ard_3-0-0_092079_2017-03-03_final
2017-04-27 09:37:16	ga_ls7e_ard_3-0-0_093074_2017-04-27_final
2017-05-06 09:31:31	ga_ls7e_ard_3-0-0_092075_2017-05-06_final
2017-05-06 09:31:55	ga_ls7e_ard_3-0-0_092076_2017-05-06_final
2017-05-06 09:32:19	ga_ls7e_ard_3-0-0_092077_2017-05-06_final
2017-05-06 09:32:43	ga_ls7e_ard_3-0-0_092078_2017-05-06_final
2017-05-06 09:33:07	ga_ls7e_ard_3-0-0_092079_2017-05-06_final
2017-05-31 09:26:14	ga_ls7e_ard_3-0-0_091077_2017-05-30_final
2017-05-31 09:26:37	ga_ls7e_ard_3-0-0_091078_2017-05-30_final
2017-05-31 09:27:01	ga_ls7e_ard_3-0-0_091079_2017-05-30_final
2017-05-31 09:27:25	ga_ls7e_ard_3-0-0_091080_2017-05-30_final
2017-05-31 09:27:49	ga_ls7e_ard_3-0-0_091081_2017-05-30_final
2017-05-31 09:28:13	ga_ls7e_ard_3-0-0_091082_2017-05-30_final
2017-05-31 09:28:37	ga_ls7e_ard_3-0-0_091083_2017-05-30_final
2017-07-20 09:17:10	ga_ls7e_ard_3-0-0_089085_2017-07-19_final
2017-07-20 09:17:34	ga_ls7e_ard_3-0-0_089086_2017-07-19_final
2017-07-23 09:40:53	ga_ls7e_ard_3-1-0_094067_2017-07-23_final
2017-08-05 09:17:08	ga_ls7e_ard_3-0-0_089085_2017-08-04_final
2017-08-05 09:17:32	ga_ls7e_ard_3-0-0_089086_2017-08-04_final
2017-11-07 09:26:18	ga_ls7e_ard_3-0-0_091077_2017-11-06_final
2017-11-07 09:26:42	ga_ls7e_ard_3-0-0_091078_2017-11-06_final
2017-11-07 09:27:06	ga_ls7e_ard_3-0-0_091079_2017-11-06_final
2017-11-07 09:27:30	ga_ls7e_ard_3-0-0_091080_2017-11-06_final
2017-11-07 09:27:54	ga_ls7e_ard_3-0-0_091081_2017-11-06_final
2017-11-07 09:28:18	ga_ls7e_ard_3-0-0_091082_2017-11-06_final
2017-11-07 09:28:42	ga_ls7e_ard_3-0-0_091083_2017-11-06_final
2017-11-30 09:33:09	ga_ls7e_ard_3-0-0_092079_2017-11-30_final
2017-12-07 09:37:17	ga_ls7e_ard_3-0-0_093074_2017-12-07_final
2017-12-09 09:26:06	ga_ls7e_ard_3-0-0_091077_2017-12-08_final
2017-12-09 09:26:30	ga_ls7e_ard_3-0-0_091078_2017-12-08_final
2017-12-09 09:26:54	ga_ls7e_ard_3-0-0_091079_2017-12-08_final
2017-12-09 09:27:18	ga_ls7e_ard_3-0-0_091080_2017-12-08_final
2017-12-09 09:27:42	ga_ls7e_ard_3-0-0_091081_2017-12-08_final
2017-12-09 09:28:06	ga_ls7e_ard_3-0-0_091082_2017-12-08_final
2017-12-09 09:28:30	ga_ls7e_ard_3-0-0_091083_2017-12-08_final
2018-03-29 09:35:51	ga_ls7e_ard_3-0-0_093074_2018-03-29_final
2018-03-31 09:25:04	ga_ls7e_ard_3-0-0_091078_2018-03-30_final
2018-03-31 09:25:28	ga_ls7e_ard_3-0-0_091079_2018-03-30_final
2018-03-31 09:25:51	ga_ls7e_ard_3-0-0_091080_2018-03-30_final
2018-03-31 09:26:15	ga_ls7e_ard_3-0-0_091081_2018-03-30_final
2018-03-31 09:26:39	ga_ls7e_ard_3-0-0_091082_2018-03-30_final
2018-03-31 09:27:03	ga_ls7e_ard_3-0-0_091083_2018-03-30_final
2018-05-20 09:14:40	ga_ls7e_ard_3-0-0_089085_2018-05-19_final
2018-05-20 09:15:03	ga_ls7e_ard_3-0-0_089086_2018-05-19_final
2018-05-25 09:29:08	ga_ls7e_ard_3-0-0_092075_2018-05-24_final
2018-05-25 09:29:32	ga_ls7e_ard_3-0-0_092076_2018-05-24_final
2018-05-25 09:30:20	ga_ls7e_ard_3-0-0_092078_2018-05-25_final
2018-05-25 09:30:44	ga_ls7e_ard_3-0-0_092079_2018-05-25_final
2018-07-21 09:23:06	ga_ls7e_ard_3-0-0_091078_2018-07-20_final
2018-07-21 09:23:30	ga_ls7e_ard_3-0-0_091079_2018-07-20_final
2018-07-21 09:23:54	ga_ls7e_ard_3-0-0_091080_2018-07-20_final
2018-07-21 09:24:18	ga_ls7e_ard_3-0-0_091081_2018-07-20_final
2018-07-21 09:24:42	ga_ls7e_ard_3-0-0_091082_2018-07-20_final
2018-07-21 09:25:06	ga_ls7e_ard_3-0-0_091083_2018-07-20_final
2018-07-23 09:13:30	ga_ls7e_ard_3-0-0_089085_2018-07-22_final
2018-07-23 09:13:54	ga_ls7e_ard_3-0-0_089086_2018-07-22_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