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
2004-02-07 09:02:25	ga_ls7e_ard_3-0-0_089082_2004-02-06_final
2004-02-07 09:02:49	ga_ls7e_ard_3-0-0_089083_2004-02-06_final
2004-02-07 09:03:13	ga_ls7e_ard_3-0-0_089084_2004-02-06_final
2004-02-07 09:03:37	ga_ls7e_ard_3-0-0_089085_2004-02-06_final
2004-02-07 09:04:01	ga_ls7e_ard_3-0-0_089086_2004-02-06_final
2004-04-09 09:12:30	ga_ls7e_ard_3-0-0_091076_2004-04-08_final
2004-04-09 09:12:54	ga_ls7e_ard_3-0-0_091077_2004-04-08_final
2004-04-09 09:13:18	ga_ls7e_ard_3-0-0_091078_2004-04-08_final
2004-04-09 09:13:42	ga_ls7e_ard_3-0-0_091079_2004-04-08_final
2004-04-11 09:02:31	ga_ls7e_ard_3-0-0_089082_2004-04-10_final
2004-04-11 09:02:55	ga_ls7e_ard_3-0-0_089083_2004-04-10_final
2004-04-11 09:03:19	ga_ls7e_ard_3-0-0_089084_2004-04-10_final
2004-04-27 09:02:27	ga_ls7e_ard_3-0-0_089082_2004-04-26_final
2004-04-27 09:02:51	ga_ls7e_ard_3-0-0_089083_2004-04-26_final
2004-04-27 09:03:15	ga_ls7e_ard_3-0-0_089084_2004-04-26_final
2004-04-27 09:03:39	ga_ls7e_ard_3-0-0_089085_2004-04-26_final
2004-08-24 09:06:40	ga_ls7e_ard_3-0-0_090078_2004-08-23_final
2004-08-24 09:07:04	ga_ls7e_ard_3-0-0_090079_2004-08-23_final
2004-08-24 09:07:28	ga_ls7e_ard_3-0-0_090080_2004-08-23_final
2004-08-24 09:07:52	ga_ls7e_ard_3-0-0_090081_2004-08-23_final
2004-08-24 09:08:16	ga_ls7e_ard_3-0-0_090082_2004-08-23_final
2004-08-24 09:08:40	ga_ls7e_ard_3-0-0_090083_2004-08-23_final
2004-09-16 09:11:54	ga_ls7e_ard_3-0-0_091076_2004-09-15_final
2004-09-16 09:12:18	ga_ls7e_ard_3-0-0_091077_2004-09-15_final
2004-09-16 09:12:42	ga_ls7e_ard_3-0-0_091078_2004-09-15_final
2004-09-16 09:13:06	ga_ls7e_ard_3-0-0_091079_2004-09-15_final
2008-04-04 09:13:25	ga_ls7e_ard_3-0-0_091076_2008-04-03_final
2008-04-04 09:13:49	ga_ls7e_ard_3-0-0_091077_2008-04-03_final
2008-04-04 09:14:13	ga_ls7e_ard_3-0-0_091078_2008-04-03_final
2008-04-04 09:14:37	ga_ls7e_ard_3-0-0_091079_2008-04-03_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
2008-04-06 09:04:15	ga_ls7e_ard_3-0-0_089084_2008-04-05_final
2008-04-06 09:04:39	ga_ls7e_ard_3-0-0_089085_2008-04-05_final
2008-04-06 09:05:03	ga_ls7e_ard_3-0-0_089086_2008-04-05_final
2016-09-17 09:26:00	ga_ls7e_ard_3-0-0_091076_2016-09-16_final
2016-09-17 09:26:23	ga_ls7e_ard_3-0-0_091077_2016-09-16_final
2016-09-17 09:26:47	ga_ls7e_ard_3-0-0_091078_2016-09-16_final
2016-09-17 09:27:11	ga_ls7e_ard_3-0-0_091079_2016-09-16_final
2016-10-19 09:26:01	ga_ls7e_ard_3-0-0_091076_2016-10-18_final
2016-10-19 09:26:25	ga_ls7e_ard_3-0-0_091077_2016-10-18_final
2016-10-19 09:26:49	ga_ls7e_ard_3-0-0_091078_2016-10-18_final
2016-10-19 09:27:13	ga_ls7e_ard_3-0-0_091079_2016-10-18_final
2016-12-22 09:25:40	ga_ls7e_ard_3-0-0_091076_2016-12-21_final
2016-12-22 09:26:04	ga_ls7e_ard_3-0-0_091077_2016-12-21_final
2016-12-22 09:26:28	ga_ls7e_ard_3-0-0_091078_2016-12-21_final
2016-12-24 09:15:41	ga_ls7e_ard_3-0-0_089082_2016-12-23_final
2016-12-24 09:16:05	ga_ls7e_ard_3-0-0_089083_2016-12-23_final
2016-12-24 09:16:29	ga_ls7e_ard_3-0-0_089084_2016-12-23_final
2016-12-24 09:16:53	ga_ls7e_ard_3-0-0_089085_2016-12-23_final
2016-12-24 09:17:17	ga_ls7e_ard_3-0-0_089086_2016-12-23_final
2019-12-15 09:05:03	ga_ls7e_ard_3-1-0_091076_2019-12-14_final
2019-12-15 09:05:27	ga_ls7e_ard_3-1-0_091077_2019-12-14_final
2019-12-15 09:05:51	ga_ls7e_ard_3-1-0_091078_2019-12-14_final
2019-12-15 09:06:15	ga_ls7e_ard_3-1-0_091079_2019-12-14_final
2020-04-05 08:59:11	ga_ls7e_ard_3-1-0_091076_2020-04-04_final
2020-04-05 08:59:35	ga_ls7e_ard_3-1-0_091077_2020-04-04_final
2020-04-05 08:59:59	ga_ls7e_ard_3-1-0_091078_2020-04-04_final
2020-04-05 09:00:22	ga_ls7e_ard_3-1-0_091079_2020-04-04_final
2020-05-23 08:57:30	ga_ls7e_ard_3-1-0_091079_2020-05-22_final
2020-05-25 08:46:13	ga_ls7e_ard_3-1-0_089082_2020-05-24_final
2020-06-26 08:44:21	ga_ls7e_ard_3-1-0_089082_2020-06-25_final
2020-06-26 08:44:45	ga_ls7e_ard_3-1-0_089083_2020-06-25_final
2020-06-26 08:45:08	ga_ls7e_ard_3-1-0_089084_2020-06-25_final
2020-06-26 08:45:32	ga_ls7e_ard_3-1-0_089085_2020-06-25_final
2020-06-26 08:45:56	ga_ls7e_ard_3-1-0_089086_2020-06-25_final
2021-03-07 08:36:59	ga_ls7e_ard_3-2-0_091076_2021-03-06_final
2021-03-07 08:37:23	ga_ls7e_ard_3-2-0_091077_2021-03-06_final
2021-03-07 08:38:11	ga_ls7e_ard_3-2-0_091079_2021-03-06_final
2021-03-09 08:26:51	ga_ls7e_ard_3-2-0_089082_2021-03-08_final
2021-03-09 08:27:15	ga_ls7e_ard_3-2-0_089083_2021-03-08_final
2021-03-09 08:27:39	ga_ls7e_ard_3-2-0_089084_2021-03-08_final
2021-03-09 08:28:03	ga_ls7e_ard_3-2-0_089085_2021-03-08_final
2021-03-09 08:28:27	ga_ls7e_ard_3-2-0_089086_2021-03-08_final
2021-03-23 08:35:42	ga_ls7e_ard_3-2-0_091076_2021-03-22_final
2021-03-25 08:25:35	ga_ls7e_ard_3-2-0_089082_2021-03-24_final
2021-03-25 08:25:59	ga_ls7e_ard_3-2-0_089083_2021-03-24_final
2021-03-25 08:26:23	ga_ls7e_ard_3-2-0_089084_2021-03-24_final
2021-03-25 08:26:47	ga_ls7e_ard_3-2-0_089085_2021-03-24_final
2021-03-25 08:27:11	ga_ls7e_ard_3-2-0_089086_2021-03-24_final
2021-03-30 08:40:55	ga_ls7e_ard_3-2-0_092075_2021-03-29_final
2021-04-01 08:29:36	ga_ls7e_ard_3-2-0_090078_2021-03-31_final
2021-04-01 08:29:59	ga_ls7e_ard_3-2-0_090079_2021-03-31_final
2021-04-01 08:30:23	ga_ls7e_ard_3-2-0_090080_2021-03-31_final
2021-04-01 08:30:47	ga_ls7e_ard_3-2-0_090081_2021-03-31_final
2021-04-01 08:31:11	ga_ls7e_ard_3-2-0_090082_2021-03-31_final
2021-04-01 08:31:35	ga_ls7e_ard_3-2-0_090083_2021-03-31_final
2021-04-01 08:31:59	ga_ls7e_ard_3-2-0_090084_2021-03-31_final
2021-04-08 08:34:24	ga_ls7e_ard_3-2-0_091076_2021-04-07_final
2021-04-08 08:34:48	ga_ls7e_ard_3-2-0_091077_2021-04-07_final
2021-04-08 08:35:12	ga_ls7e_ard_3-2-0_091078_2021-04-07_final
2021-04-08 08:35:36	ga_ls7e_ard_3-2-0_091079_2021-04-07_final
2021-04-10 08:24:16	ga_ls7e_ard_3-2-0_089082_2021-04-09_final
2021-04-10 08:24:40	ga_ls7e_ard_3-2-0_089083_2021-04-09_final
2021-04-10 08:25:04	ga_ls7e_ard_3-2-0_089084_2021-04-09_final
2021-04-10 08:25:52	ga_ls7e_ard_3-2-0_089086_2021-04-09_final
2021-12-04 08:13:23	ga_ls7e_ard_3-2-1_091076_2021-12-03_final
2021-12-04 08:13:47	ga_ls7e_ard_3-2-1_091077_2021-12-03_final
2021-12-04 08:14:11	ga_ls7e_ard_3-2-1_091078_2021-12-03_final
2021-12-04 08:14:35	ga_ls7e_ard_3-2-1_091079_2021-12-03_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