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
2001-03-25 09:12:04	ga_ls7e_ard_3-0-0_090088_2001-03-24_final
2001-04-10 09:11:59	ga_ls7e_ard_3-0-0_090088_2001-04-09_final
2001-04-26 09:11:57	ga_ls7e_ard_3-0-0_090088_2001-04-25_final
2001-09-08 09:16:39	ga_ls7e_ard_3-0-0_091088_2001-09-07_final
2001-10-01 09:22:11	ga_ls7e_ard_3-0-0_092087_2001-09-30_final
2001-10-01 09:22:35	ga_ls7e_ard_3-0-0_092088_2001-09-30_final
2001-10-03 09:10:09	ga_ls7e_ard_3-0-0_090088_2001-10-02_final
2001-10-19 09:10:11	ga_ls7e_ard_3-0-0_090088_2001-10-18_final
2001-10-24 09:28:18	ga_ls7e_ard_3-1-0_093087_2001-10-23_final
2001-10-24 09:28:42	ga_ls7e_ard_3-1-0_093088_2001-10-23_final
2001-10-26 09:15:58	ga_ls7e_ard_3-0-0_091087_2001-10-25_final
2001-10-26 09:16:22	ga_ls7e_ard_3-0-0_091088_2001-10-25_final
2001-11-25 09:28:36	ga_ls7e_ard_3-0-0_093087_2001-11-24_final
2001-12-22 09:10:34	ga_ls7e_ard_3-0-0_090088_2001-12-21_final
2001-12-25 09:41:05	ga_ls7e_ard_3-0-0_095087_2001-12-25_final
2002-01-10 09:41:09	ga_ls7e_ard_3-0-0_095087_2002-01-10_final
2002-01-12 09:28:48	ga_ls7e_ard_3-0-0_093087_2002-01-11_final
2002-01-12 09:29:12	ga_ls7e_ard_3-0-0_093088_2002-01-11_final
2005-02-07 09:17:36	ga_ls7e_ard_3-0-0_091088_2005-02-06_final
2005-04-26 09:29:59	ga_ls7e_ard_3-1-0_093088_2005-04-25_final
2005-04-28 09:17:38	ga_ls7e_ard_3-1-0_091088_2005-04-27_final
2005-05-12 09:29:39	ga_ls7e_ard_3-1-0_093087_2005-05-11_final
2006-12-11 09:18:13	ga_ls7e_ard_3-0-0_091088_2006-12-10_final
2007-01-10 09:30:15	ga_ls7e_ard_3-1-0_093087_2007-01-10_final
2007-01-10 09:30:39	ga_ls7e_ard_3-1-0_093088_2007-01-10_final
2007-01-12 09:17:53	ga_ls7e_ard_3-0-0_091087_2007-01-11_final
2007-01-12 09:18:17	ga_ls7e_ard_3-0-0_091088_2007-01-11_final
2007-02-27 09:30:31	ga_ls7e_ard_3-1-0_093087_2007-02-27_final
2007-03-01 09:18:33	ga_ls7e_ard_3-0-0_091088_2007-02-28_final
2007-03-10 09:12:24	ga_ls7e_ard_3-0-0_090088_2007-03-09_final
2007-03-22 09:36:45	ga_ls7e_ard_3-0-0_094087_2007-03-22_final
2007-04-02 09:18:36	ga_ls7e_ard_3-0-0_091088_2007-04-01_final
2007-07-21 09:30:36	ga_ls7e_ard_3-1-0_093088_2007-07-21_final
2007-07-23 09:18:14	ga_ls7e_ard_3-0-0_091088_2007-07-22_final
2007-08-08 09:18:09	ga_ls7e_ard_3-0-0_091088_2007-08-07_final
2007-08-24 09:18:03	ga_ls7e_ard_3-0-0_091088_2007-08-23_final
2007-12-12 09:30:43	ga_ls7e_ard_3-0-0_093088_2007-12-12_final
2007-12-14 09:18:22	ga_ls7e_ard_3-0-0_091088_2007-12-13_final
2016-04-08 09:42:37	ga_ls7e_ard_3-0-0_093088_2016-04-08_final
2016-04-10 09:30:17	ga_ls7e_ard_3-0-0_091088_2016-04-10_final
2016-04-24 09:42:46	ga_ls7e_ard_3-0-0_093088_2016-04-24_final
2016-08-16 09:30:41	ga_ls7e_ard_3-0-0_091088_2016-08-16_final
2020-07-08 09:10:20	ga_ls7e_ard_3-1-0_093087_2020-07-07_final
2020-07-08 09:10:44	ga_ls7e_ard_3-1-0_093088_2020-07-07_final
2020-07-26 08:57:16	ga_ls7e_ard_3-1-0_091088_2020-07-25_final
2020-08-04 08:50:32	ga_ls7e_ard_3-1-0_090088_2020-08-03_final
2020-08-07 09:20:51	ga_ls7e_ard_3-1-0_095087_2020-08-06_final
2020-08-18 09:01:36	ga_ls7e_ard_3-1-0_092087_2020-08-17_final
2020-08-20 08:49:31	ga_ls7e_ard_3-1-0_090088_2020-08-19_final
2020-09-19 08:59:30	ga_ls7e_ard_3-1-0_092087_2020-09-18_final
2020-09-21 08:47:24	ga_ls7e_ard_3-1-0_090088_2020-09-20_final
2020-09-24 09:17:43	ga_ls7e_ard_3-1-0_095087_2020-09-23_final
2020-09-26 09:05:14	ga_ls7e_ard_3-1-0_093087_2020-09-25_final
2020-09-26 09:05:38	ga_ls7e_ard_3-1-0_093088_2020-09-25_final
2020-11-06 08:56:22	ga_ls7e_ard_3-1-0_092087_2020-11-05_final
2020-11-06 08:56:46	ga_ls7e_ard_3-1-0_092088_2020-11-05_final
2020-11-08 08:44:17	ga_ls7e_ard_3-1-0_090088_2020-11-07_final
2020-11-22 08:55:16	ga_ls7e_ard_3-1-0_092087_2020-11-21_final
2021-08-07 08:22:47	ga_ls7e_ard_3-2-0_090088_2021-08-06_final
2021-08-10 08:53:01	ga_ls7e_ard_3-2-0_095087_2021-08-09_final
2021-08-12 08:40:29	ga_ls7e_ard_3-2-0_093087_2021-08-11_final
2021-08-14 08:27:56	ga_ls7e_ard_3-2-0_091087_2021-08-13_final
2021-08-14 08:28:20	ga_ls7e_ard_3-2-0_091088_2021-08-13_final
2021-08-21 08:33:30	ga_ls7e_ard_3-2-0_092087_2021-08-20_final
2021-08-23 08:21:22	ga_ls7e_ard_3-2-0_090088_2021-08-22_final
2021-08-28 08:39:05	ga_ls7e_ard_3-2-0_093087_2021-08-27_final
2021-08-28 08:39:29	ga_ls7e_ard_3-2-0_093088_2021-08-27_final
2021-09-04 08:44:39	ga_ls7e_ard_3-2-0_094087_2021-09-03_final
2021-10-06 08:41:49	ga_ls7e_ard_3-2-0_094087_2021-10-05_final
2021-10-08 08:29:17	ga_ls7e_ard_3-2-0_092087_2021-10-07_final
2021-10-10 08:17:09	ga_ls7e_ard_3-2-0_090088_2021-10-09_final
2021-10-13 08:47:23	ga_ls7e_ard_3-2-0_095087_2021-10-12_final
2021-10-17 08:22:18	ga_ls7e_ard_3-2-0_091087_2021-10-16_final
2021-10-17 08:22:42	ga_ls7e_ard_3-2-0_091088_2021-10-16_final
2021-10-24 08:27:51	ga_ls7e_ard_3-2-0_092087_2021-10-23_final
2021-10-24 08:28:15	ga_ls7e_ard_3-2-0_092088_2021-10-23_final
2021-10-31 08:33:23	ga_ls7e_ard_3-2-0_093087_2021-10-30_final
2021-10-31 08:33:47	ga_ls7e_ard_3-2-0_093088_2021-10-30_final
2021-11-02 08:20:50	ga_ls7e_ard_3-2-0_091087_2021-11-01_final
2021-11-02 08:21:14	ga_ls7e_ard_3-2-0_091088_2021-11-01_final
2021-11-09 08:26:21	ga_ls7e_ard_3-2-0_092087_2021-11-08_final
2021-11-09 08:26:45	ga_ls7e_ard_3-2-0_092088_2021-11-08_final
2021-11-11 08:14:12	ga_ls7e_ard_3-2-0_090088_2021-11-10_final
2021-11-23 08:37:20	ga_ls7e_ard_3-2-1_094087_2021-11-22_final
2021-11-25 08:25:11	ga_ls7e_ard_3-2-1_092088_2021-11-24_final
2022-02-15 08:04:49	ga_ls7e_ard_3-2-1_090088_2022-02-14_final
2022-02-20 08:22:29	ga_ls7e_ard_3-2-1_093087_2022-02-19_final
2022-02-22 08:09:56	ga_ls7e_ard_3-2-1_091087_2022-02-21_final
2022-02-22 08:10:20	ga_ls7e_ard_3-2-1_091088_2022-02-21_final
2022-03-03 08:03:17	ga_ls7e_ard_3-2-1_090088_2022-03-02_final
2022-03-08 08:20:56	ga_ls7e_ard_3-2-1_093087_2022-03-07_final
2022-03-08 08:21:20	ga_ls7e_ard_3-2-1_093088_2022-03-07_final
2022-03-10 08:08:23	ga_ls7e_ard_3-2-1_091087_2022-03-09_final
2022-03-10 08:08:47	ga_ls7e_ard_3-2-1_091088_2022-03-09_final
2022-03-15 08:26:24	ga_ls7e_ard_3-2-1_094087_2022-03-14_final
2022-03-17 08:13:50	ga_ls7e_ard_3-2-1_092087_2022-03-16_final
2022-03-19 08:01:41	ga_ls7e_ard_3-2-1_090088_2022-03-18_final
2022-03-24 08:19:22	ga_ls7e_ard_3-2-1_093087_2022-03-23_final
2022-03-31 08:24:53	ga_ls7e_ard_3-2-1_094087_2022-03-30_final
2022-04-02 08:12:43	ga_ls7e_ard_3-2-1_092088_2022-04-01_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