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
1999-07-29 09:45:16	ga_ls7e_ard_3-0-0_095087_1999-07-29_final
1999-07-31 09:32:55	ga_ls7e_ard_3-1-0_093087_1999-07-31_final
1999-07-31 09:33:19	ga_ls7e_ard_3-0-0_093088_1999-07-31_final
1999-08-23 09:39:06	ga_ls7e_ard_3-0-0_094087_1999-08-23_final
2000-01-02 09:14:42	ga_ls7e_ard_3-0-0_090088_2000-01-01_final
2000-03-04 09:26:52	ga_ls7e_ard_3-0-0_092088_2000-03-03_final
2007-11-10 09:30:30	ga_ls7e_ard_3-0-0_093088_2007-11-10_final
2007-11-12 09:17:45	ga_ls7e_ard_3-0-0_091087_2007-11-11_final
2007-11-12 09:18:09	ga_ls7e_ard_3-0-0_091088_2007-11-11_final
2007-12-10 09:42:40	ga_ls7e_ard_3-0-0_095087_2007-12-10_final
2008-02-23 09:24:29	ga_ls7e_ard_3-0-0_092088_2008-02-22_final
2008-03-28 09:12:02	ga_ls7e_ard_3-0-0_090088_2008-03-27_final
2019-10-24 09:36:37	ga_ls7e_ard_3-1-0_095087_2019-10-24_final
2019-11-11 09:23:27	ga_ls7e_ard_3-1-0_093087_2019-11-10_final
2019-11-13 09:11:00	ga_ls7e_ard_3-1-0_091087_2019-11-12_final
2019-11-13 09:11:24	ga_ls7e_ard_3-1-0_091088_2019-11-12_final
2019-11-18 09:29:18	ga_ls7e_ard_3-1-0_094087_2019-11-17_final
2019-11-20 09:16:51	ga_ls7e_ard_3-1-0_092087_2019-11-19_final
2019-12-24 09:03:12	ga_ls7e_ard_3-1-0_090088_2019-12-23_final
2020-02-06 09:25:18	ga_ls7e_ard_3-1-0_094087_2020-02-05_final
2020-02-08 09:12:50	ga_ls7e_ard_3-1-0_092087_2020-02-07_final
2020-02-08 09:13:14	ga_ls7e_ard_3-1-0_092088_2020-02-07_final
2020-02-17 09:06:12	ga_ls7e_ard_3-1-0_091087_2020-02-16_final
2020-02-17 09:06:36	ga_ls7e_ard_3-1-0_091088_2020-02-16_final
2020-03-16 09:29:25	ga_ls7e_ard_3-1-0_095087_2020-03-15_final
2020-03-20 09:04:28	ga_ls7e_ard_3-1-0_091087_2020-03-19_final
2020-03-20 09:04:52	ga_ls7e_ard_3-1-0_091088_2020-03-19_final
2020-04-19 09:15:07	ga_ls7e_ard_3-1-0_093087_2020-04-18_final
2020-05-12 09:19:55	ga_ls7e_ard_3-1-0_094087_2020-05-11_final
2020-06-04 09:24:42	ga_ls7e_ard_3-1-0_095087_2020-06-03_final
2020-06-06 09:12:14	ga_ls7e_ard_3-1-0_093087_2020-06-05_final
2020-06-06 09:12:38	ga_ls7e_ard_3-1-0_093088_2020-06-05_final
2020-06-17 08:53:27	ga_ls7e_ard_3-1-0_090088_2020-06-16_final
2020-06-29 09:17:04	ga_ls7e_ard_3-1-0_094087_2020-06-28_final
2020-07-01 09:04:35	ga_ls7e_ard_3-1-0_092087_2020-06-30_final
2020-07-01 09:04:59	ga_ls7e_ard_3-1-0_092088_2020-06-30_final
2020-07-03 08:52:30	ga_ls7e_ard_3-1-0_090088_2020-07-02_final
2020-12-08 08:54:30	ga_ls7e_ard_3-1-0_092088_2020-12-07_final
2020-12-10 08:41:59	ga_ls7e_ard_3-1-0_090088_2020-12-09_final
2020-12-13 09:12:15	ga_ls7e_ard_3-1-0_095087_2020-12-12_final
2020-12-15 08:59:45	ga_ls7e_ard_3-1-0_093087_2020-12-14_final
2020-12-15 09:00:09	ga_ls7e_ard_3-1-0_093088_2020-12-14_final
2020-12-17 08:47:14	ga_ls7e_ard_3-1-0_091087_2020-12-16_final
2020-12-17 08:47:38	ga_ls7e_ard_3-1-0_091088_2020-12-16_final
2021-01-07 09:04:17	ga_ls7e_ard_3-1-0_094087_2021-01-06_final
2021-01-09 08:51:47	ga_ls7e_ard_3-1-0_092087_2021-01-08_final
2021-01-09 08:52:11	ga_ls7e_ard_3-1-0_092088_2021-01-08_final
2021-01-18 08:45:22	ga_ls7e_ard_3-1-0_091088_2021-01-17_final
2021-01-23 09:03:09	ga_ls7e_ard_3-2-0_094087_2021-01-22_final
2021-01-27 08:38:32	ga_ls7e_ard_3-2-0_090088_2021-01-26_final
2021-02-01 08:56:19	ga_ls7e_ard_3-2-0_093087_2021-01-31_final
2021-02-03 08:43:48	ga_ls7e_ard_3-2-0_091087_2021-02-02_final
2021-02-03 08:44:12	ga_ls7e_ard_3-2-0_091088_2021-02-02_final
2021-02-10 08:49:28	ga_ls7e_ard_3-2-0_092087_2021-02-09_final
2021-02-10 08:49:52	ga_ls7e_ard_3-2-0_092088_2021-02-09_final
2021-02-12 08:37:21	ga_ls7e_ard_3-2-0_090088_2021-02-11_final
2021-02-17 08:55:07	ga_ls7e_ard_3-2-0_093087_2021-02-16_final
2021-02-17 08:55:31	ga_ls7e_ard_3-2-0_093088_2021-02-16_final
2021-02-19 08:42:36	ga_ls7e_ard_3-2-0_091087_2021-02-18_final
2021-02-19 08:43:00	ga_ls7e_ard_3-2-0_091088_2021-02-18_final
2021-02-28 08:36:08	ga_ls7e_ard_3-2-0_090088_2021-02-27_final
2021-03-07 08:41:22	ga_ls7e_ard_3-2-0_091087_2021-03-06_final
2021-03-07 08:41:46	ga_ls7e_ard_3-2-0_091088_2021-03-06_final
2021-03-12 08:59:31	ga_ls7e_ard_3-2-0_094087_2021-03-11_final
2021-03-14 08:47:00	ga_ls7e_ard_3-2-0_092087_2021-03-13_final
2021-03-14 08:47:24	ga_ls7e_ard_3-2-0_092088_2021-03-13_final
2021-03-16 08:34:53	ga_ls7e_ard_3-2-0_090088_2021-03-15_final
2021-03-19 09:05:08	ga_ls7e_ard_3-2-0_095087_2021-03-18_final
2021-03-21 08:53:01	ga_ls7e_ard_3-2-0_093088_2021-03-20_final
2021-04-01 08:33:35	ga_ls7e_ard_3-2-0_090088_2021-03-31_final
2021-04-08 08:38:47	ga_ls7e_ard_3-2-0_091087_2021-04-07_final
2021-04-08 08:39:11	ga_ls7e_ard_3-2-0_091088_2021-04-07_final
2021-04-15 08:44:23	ga_ls7e_ard_3-2-0_092087_2021-04-14_final
2021-04-15 08:44:47	ga_ls7e_ard_3-2-0_092088_2021-04-14_final
2021-04-17 08:32:15	ga_ls7e_ard_3-2-0_090088_2021-04-16_final
2021-04-22 08:49:58	ga_ls7e_ard_3-2-0_093087_2021-04-21_final
2021-04-22 08:50:22	ga_ls7e_ard_3-2-0_093088_2021-04-21_final
2021-04-24 08:37:26	ga_ls7e_ard_3-2-0_091087_2021-04-23_final
2021-04-24 08:37:50	ga_ls7e_ard_3-2-0_091088_2021-04-23_final
2021-04-29 08:55:33	ga_ls7e_ard_3-2-0_094087_2021-04-28_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
2021-05-17 08:41:41	ga_ls7e_ard_3-2-0_092087_2021-05-16_final
2021-05-17 08:42:05	ga_ls7e_ard_3-2-0_092088_2021-05-16_final
2021-05-22 08:59:48	ga_ls7e_ard_3-2-0_095087_2021-05-21_final
2021-05-24 08:47:16	ga_ls7e_ard_3-2-0_093087_2021-05-23_final
2021-05-24 08:47:40	ga_ls7e_ard_3-2-0_093088_2021-05-23_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
2021-06-18 08:39:01	ga_ls7e_ard_3-2-0_092087_2021-06-17_final
2021-06-18 08:39:25	ga_ls7e_ard_3-2-0_092088_2021-06-17_final
2021-06-20 08:26:54	ga_ls7e_ard_3-2-0_090088_2021-06-19_final
2021-06-25 08:44:37	ga_ls7e_ard_3-2-0_093087_2021-06-24_final
2021-06-25 08:45:01	ga_ls7e_ard_3-2-0_093088_2021-06-24_final
2021-06-27 08:32:06	ga_ls7e_ard_3-2-0_091087_2021-06-26_final
2021-06-27 08:32:30	ga_ls7e_ard_3-2-0_091088_2021-06-26_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