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
1999-08-20 09:07:21	ga_ls7e_ard_3-0-0_089085_1999-08-19_final
1999-08-21 09:50:38	ga_ls7e_ard_3-0-0_096085_1999-08-21_final
1999-08-23 09:37:54	ga_ls7e_ard_3-0-0_094084_1999-08-23_final
1999-08-23 09:38:18	ga_ls7e_ard_3-0-0_094085_1999-08-23_final
1999-08-23 11:16:47	ga_ls7e_ard_3-0-0_110084_1999-08-23_final
1999-11-20 09:32:04	ga_ls7e_ard_3-0-0_093085_1999-11-20_final
2003-12-22 09:46:37	ga_ls7e_ard_3-0-0_096085_2003-12-22_final
2003-12-22 11:25:06	ga_ls7e_ard_3-0-0_112084_2003-12-22_final
2003-12-24 09:33:53	ga_ls7e_ard_3-0-0_094084_2003-12-24_final
2003-12-24 09:34:17	ga_ls7e_ard_3-0-0_094085_2003-12-24_final
2003-12-24 11:12:46	ga_ls7e_ard_3-0-0_110084_2003-12-24_final
2003-12-26 09:21:56	ga_ls7e_ard_3-0-0_092085_2003-12-25_final
2003-12-26 11:00:25	ga_ls7e_ard_3-0-0_108084_2003-12-26_final
2004-01-20 09:15:28	ga_ls7e_ard_3-0-0_091084_2004-01-19_final
2004-02-03 09:28:19	ga_ls7e_ard_3-0-0_093085_2004-02-02_final
2004-02-04 10:11:11	ga_ls7e_ard_3-0-0_100084_2004-02-04_final
2004-02-10 09:34:07	ga_ls7e_ard_3-0-0_094084_2004-02-10_final
2004-02-12 09:21:46	ga_ls7e_ard_3-0-0_092084_2004-02-11_final
2004-02-12 09:22:10	ga_ls7e_ard_3-0-0_092085_2004-02-11_final
2004-02-12 11:00:39	ga_ls7e_ard_3-0-0_108084_2004-02-12_final
2004-02-13 10:05:02	ga_ls7e_ard_3-0-0_099084_2004-02-13_final
2004-02-14 09:09:24	ga_ls7e_ard_3-0-0_090084_2004-02-13_final
2004-02-14 09:09:48	ga_ls7e_ard_3-1-0_090085_2004-02-13_final
2004-02-15 09:52:40	ga_ls7e_ard_3-0-0_097084_2004-02-15_final
2004-02-15 09:53:04	ga_ls7e_ard_3-0-0_097085_2004-02-15_final
2004-02-17 09:40:42	ga_ls7e_ard_3-0-0_095085_2004-02-17_final
2004-02-19 09:28:20	ga_ls7e_ard_3-0-0_093085_2004-02-18_final
2004-02-19 11:06:49	ga_ls7e_ard_3-0-0_109084_2004-02-19_final
2004-04-23 11:06:50	ga_ls7e_ard_3-0-0_109084_2004-04-23_final
2004-04-24 10:11:13	ga_ls7e_ard_3-0-0_100084_2004-04-24_final
2004-04-25 09:15:36	ga_ls7e_ard_3-0-0_091084_2004-04-24_final
2004-04-25 09:16:00	ga_ls7e_ard_3-0-0_091085_2004-04-24_final
2004-04-26 09:59:16	ga_ls7e_ard_3-0-0_098085_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
2004-06-08 09:40:16	ga_ls7e_ard_3-0-0_095084_2004-06-08_final
2004-06-08 09:40:40	ga_ls7e_ard_3-0-0_095085_2004-06-08_final
2004-06-10 09:28:18	ga_ls7e_ard_3-0-0_093085_2004-06-09_final
2004-06-10 11:06:47	ga_ls7e_ard_3-0-0_109084_2004-06-10_final
2004-06-11 10:11:09	ga_ls7e_ard_3-0-0_100084_2004-06-11_final
2018-09-21 09:36:37	ga_ls7e_ard_3-0-0_093084_2018-09-21_final
2018-09-21 09:37:01	ga_ls7e_ard_3-0-0_093085_2018-09-21_final
2018-09-21 11:15:30	ga_ls7e_ard_3-0-0_109084_2018-09-21_final
2018-10-02 09:17:49	ga_ls7e_ard_3-0-0_090084_2018-10-01_final
2018-10-02 09:18:13	ga_ls7e_ard_3-0-0_090085_2018-10-01_final
2018-10-05 09:48:39	ga_ls7e_ard_3-0-0_095084_2018-10-05_final
2018-10-05 09:49:03	ga_ls7e_ard_3-0-0_095085_2018-10-05_final
2018-11-26 09:22:43	ga_ls7e_ard_3-0-0_091084_2018-11-25_final
2018-11-26 09:23:07	ga_ls7e_ard_3-0-0_091085_2018-11-25_final
2018-11-26 11:01:36	ga_ls7e_ard_3-0-0_107084_2018-11-26_final
2018-12-19 09:28:16	ga_ls7e_ard_3-0-0_092084_2018-12-18_final
2019-01-04 09:27:47	ga_ls7e_ard_3-0-0_092084_2019-01-03_final
2019-01-04 09:28:11	ga_ls7e_ard_3-0-0_092085_2019-01-03_final
2019-01-04 11:06:40	ga_ls7e_ard_3-0-0_108084_2019-01-04_final
2019-01-05 10:11:01	ga_ls7e_ard_3-0-0_099084_2019-01-05_final
2019-01-06 09:15:22	ga_ls7e_ard_3-0-0_090084_2019-01-05_final
2019-01-06 09:15:46	ga_ls7e_ard_3-1-0_090085_2019-01-05_final
2019-01-07 09:58:36	ga_ls7e_ard_3-0-0_097084_2019-01-07_final
2019-01-07 09:59:00	ga_ls7e_ard_3-0-0_097085_2019-01-07_final
2019-01-07 11:37:29	ga_ls7e_ard_3-0-0_113084_2019-01-07_final
2019-01-09 09:46:34	ga_ls7e_ard_3-0-0_095085_2019-01-09_final
2019-01-11 09:33:45	ga_ls7e_ard_3-0-0_093084_2019-01-11_final
2019-01-11 09:34:09	ga_ls7e_ard_3-0-0_093085_2019-01-11_final
2019-01-11 11:12:38	ga_ls7e_ard_3-0-0_109084_2019-01-11_final
2019-01-12 10:16:59	ga_ls7e_ard_3-0-0_100084_2019-01-12_final
2019-01-13 09:21:20	ga_ls7e_ard_3-0-0_091084_2019-01-12_final
2019-01-13 09:21:44	ga_ls7e_ard_3-0-0_091085_2019-01-12_final
2019-01-14 10:04:33	ga_ls7e_ard_3-0-0_098084_2019-01-14_final
2019-01-14 10:04:57	ga_ls7e_ard_3-0-0_098085_2019-01-14_final
2019-01-15 09:09:18	ga_ls7e_ard_3-0-0_089085_2019-01-14_final
2019-04-05 09:06:21	ga_ls7e_ard_3-0-0_089084_2019-04-04_final
2019-04-05 09:06:45	ga_ls7e_ard_3-0-0_089085_2019-04-04_final
2019-04-08 09:37:09	ga_ls7e_ard_3-0-0_094084_2019-04-08_final
2019-04-08 09:37:33	ga_ls7e_ard_3-0-0_094085_2019-04-08_final
2019-04-10 09:24:43	ga_ls7e_ard_3-0-0_092084_2019-04-09_final
2019-04-10 09:25:07	ga_ls7e_ard_3-0-0_092085_2019-04-09_final
2019-04-10 11:03:36	ga_ls7e_ard_3-0-0_108084_2019-04-10_final
2019-04-20 10:01:26	ga_ls7e_ard_3-0-0_098084_2019-04-20_final
2019-04-20 10:01:50	ga_ls7e_ard_3-0-0_098085_2019-04-20_final
2019-04-21 09:05:47	ga_ls7e_ard_3-0-0_089084_2019-04-20_final
2019-04-21 09:06:11	ga_ls7e_ard_3-0-0_089085_2019-04-20_final
2019-04-22 09:49:00	ga_ls7e_ard_3-0-0_096084_2019-04-22_final
2019-04-22 09:49:24	ga_ls7e_ard_3-0-0_096085_2019-04-22_final
2019-04-22 11:27:53	ga_ls7e_ard_3-0-0_112084_2019-04-22_final
2019-05-17 09:41:52	ga_ls7e_ard_3-0-0_095084_2019-05-17_final
2019-05-17 09:42:16	ga_ls7e_ard_3-0-0_095085_2019-05-17_final
2019-05-17 11:20:44	ga_ls7e_ard_3-0-0_111084_2019-05-17_final
2019-05-20 10:12:38	ga_ls7e_ard_3-0-0_100084_2019-05-20_final
2019-05-21 09:16:59	ga_ls7e_ard_3-0-0_091084_2019-05-20_final
2019-05-21 09:17:23	ga_ls7e_ard_3-0-0_091085_2019-05-20_final
2019-05-21 10:55:52	ga_ls7e_ard_3-0-0_107084_2019-05-21_final
2019-05-22 10:00:12	ga_ls7e_ard_3-0-0_098084_2019-05-22_final
2019-05-22 10:00:36	ga_ls7e_ard_3-0-0_098085_2019-05-22_final
2019-05-23 09:04:33	ga_ls7e_ard_3-0-0_089084_2019-05-22_final
2019-05-23 09:04:57	ga_ls7e_ard_3-0-0_089085_2019-05-22_final
2019-06-04 11:07:44	ga_ls7e_ard_3-0-0_109084_2019-06-04_final
2019-06-06 09:16:49	ga_ls7e_ard_3-0-0_091085_2019-06-05_final
2019-06-06 10:55:18	ga_ls7e_ard_3-0-0_107084_2019-06-06_final
2019-06-07 09:59:38	ga_ls7e_ard_3-0-0_098084_2019-06-07_final
2019-06-07 10:00:02	ga_ls7e_ard_3-0-0_098085_2019-06-07_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