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
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
2008-06-23 09:17:44	ga_ls7e_ard_3-0-0_091088_2008-06-22_final
2008-07-09 09:17:32	ga_ls7e_ard_3-0-0_091088_2008-07-08_final
2008-07-16 09:23:38	ga_ls7e_ard_3-0-0_092088_2008-07-15_final
2008-07-18 09:11:15	ga_ls7e_ard_3-0-0_090088_2008-07-17_final
2008-07-25 09:17:21	ga_ls7e_ard_3-0-0_091088_2008-07-24_final
2008-08-08 09:29:38	ga_ls7e_ard_3-1-0_093088_2008-08-07_final
2008-08-26 09:17:09	ga_ls7e_ard_3-0-0_091088_2008-08-25_final
2008-09-02 09:23:16	ga_ls7e_ard_3-0-0_092088_2008-09-01_final
2008-09-04 09:10:54	ga_ls7e_ard_3-0-0_090088_2008-09-03_final
2008-09-11 09:17:01	ga_ls7e_ard_3-0-0_091088_2008-09-10_final
2008-09-25 09:29:14	ga_ls7e_ard_3-0-0_093088_2008-09-24_final
2008-10-04 09:22:58	ga_ls7e_ard_3-0-0_092088_2008-10-03_final
2008-10-06 09:10:35	ga_ls7e_ard_3-0-0_090088_2008-10-05_final
2008-10-13 09:16:42	ga_ls7e_ard_3-0-0_091088_2008-10-12_final
2008-10-22 09:10:41	ga_ls7e_ard_3-0-0_090088_2008-10-21_final
2008-11-05 09:23:15	ga_ls7e_ard_3-0-0_092088_2008-11-04_final
2008-11-07 09:10:56	ga_ls7e_ard_3-0-0_090088_2008-11-06_final
2008-11-12 09:29:32	ga_ls7e_ard_3-0-0_093088_2008-11-11_final
2008-11-14 09:17:12	ga_ls7e_ard_3-0-0_091088_2008-11-13_final
2008-11-23 09:11:08	ga_ls7e_ard_3-0-0_090088_2008-11-22_final
2009-01-01 09:17:42	ga_ls7e_ard_3-0-0_091088_2008-12-31_final
2009-01-08 09:23:54	ga_ls7e_ard_3-0-0_092088_2009-01-07_final
2009-01-10 09:11:33	ga_ls7e_ard_3-0-0_090088_2009-01-09_final
2009-01-15 09:30:08	ga_ls7e_ard_3-1-0_093088_2009-01-15_final
2009-02-25 09:24:15	ga_ls7e_ard_3-0-0_092088_2009-02-24_final
2009-02-27 09:11:54	ga_ls7e_ard_3-0-0_090088_2009-02-26_final
2009-03-29 09:24:30	ga_ls7e_ard_3-0-0_092088_2009-03-28_final
2021-05-01 08:43:02	ga_ls7e_ard_3-2-0_092087_2021-04-30_final
2021-05-01 08:43:26	ga_ls7e_ard_3-2-0_092088_2021-04-30_final
2021-05-03 08:30:54	ga_ls7e_ard_3-2-0_090088_2021-05-02_final
2021-05-15 08:54:13	ga_ls7e_ard_3-2-0_094087_2021-05-14_final
2021-05-26 08:34:44	ga_ls7e_ard_3-2-0_091087_2021-05-25_final
2021-05-26 08:35:08	ga_ls7e_ard_3-2-0_091088_2021-05-25_final
2021-05-31 08:52:51	ga_ls7e_ard_3-2-0_094087_2021-05-30_final
2021-06-02 08:40:19	ga_ls7e_ard_3-2-0_092087_2021-06-01_final
2021-06-02 08:40:43	ga_ls7e_ard_3-2-0_092088_2021-06-01_final
2021-06-04 08:28:12	ga_ls7e_ard_3-2-0_090088_2021-06-03_final
2021-06-11 08:33:25	ga_ls7e_ard_3-2-0_091087_2021-06-10_final
2021-06-11 08:33:49	ga_ls7e_ard_3-2-0_091088_2021-06-10_final
2021-06-20 08:26:54	ga_ls7e_ard_3-2-0_090088_2021-06-19_final
2021-07-06 08:25:33	ga_ls7e_ard_3-2-0_090088_2021-07-05_final
2021-07-09 08:55:48	ga_ls7e_ard_3-2-0_095087_2021-07-08_final
2021-07-11 08:43:16	ga_ls7e_ard_3-2-0_093087_2021-07-10_final
2021-07-13 08:30:45	ga_ls7e_ard_3-2-0_091087_2021-07-12_final
2021-07-13 08:31:08	ga_ls7e_ard_3-2-0_091088_2021-07-12_final
2021-07-18 08:48:51	ga_ls7e_ard_3-2-0_094087_2021-07-17_final
2021-07-20 08:36:19	ga_ls7e_ard_3-2-0_092087_2021-07-19_final
2021-07-22 08:24:11	ga_ls7e_ard_3-2-0_090088_2021-07-21_final
2021-07-27 08:41:54	ga_ls7e_ard_3-2-0_093087_2021-07-26_final
2021-07-27 08:42:18	ga_ls7e_ard_3-2-0_093088_2021-07-26_final
2021-07-29 08:29:21	ga_ls7e_ard_3-2-0_091087_2021-07-28_final
2021-07-29 08:29:45	ga_ls7e_ard_3-2-0_091088_2021-07-28_final
2021-08-03 08:47:27	ga_ls7e_ard_3-2-0_094087_2021-08-02_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
2021-08-19 08:46:02	ga_ls7e_ard_3-2-0_094087_2021-08-18_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
2021-09-06 08:32:07	ga_ls7e_ard_3-2-0_092087_2021-09-05_final
2021-09-06 08:32:31	ga_ls7e_ard_3-2-0_092088_2021-09-05_final
2021-09-08 08:19:59	ga_ls7e_ard_3-2-0_090088_2021-09-07_final
2021-09-13 08:37:41	ga_ls7e_ard_3-2-0_093087_2021-09-12_final
2021-09-13 08:38:05	ga_ls7e_ard_3-2-0_093088_2021-09-12_final
2021-09-15 08:25:09	ga_ls7e_ard_3-2-0_091087_2021-09-14_final
2021-09-20 08:43:14	ga_ls7e_ard_3-2-0_094087_2021-09-19_final
2021-09-27 08:48:47	ga_ls7e_ard_3-2-0_095087_2021-09-26_final
2021-09-29 08:36:39	ga_ls7e_ard_3-2-0_093088_2021-09-28_final
2021-10-01 08:24:07	ga_ls7e_ard_3-2-0_091088_2021-09-30_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
2021-11-18 08:19:18	ga_ls7e_ard_3-2-1_091087_2021-11-17_final
2021-11-18 08:19:42	ga_ls7e_ard_3-2-1_091088_2021-11-17_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
2022-03-19 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
2022-03-26 08:06:49	ga_ls7e_ard_3-2-1_091087_2022-03-25_final
2022-03-26 08:07:13	ga_ls7e_ard_3-2-1_091088_2022-03-25_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