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
2000-08-13 09:13:22	ga_ls7e_ard_3-0-0_090089_2000-08-12_final
2000-08-13 09:13:46	ga_ls7e_ard_3-0-0_090090_2000-08-12_final
2007-10-11 09:18:36	ga_ls7e_ard_3-0-0_091090_2007-10-10_final
2007-10-27 09:18:48	ga_ls7e_ard_3-0-0_091090_2007-10-26_final
2007-10-29 09:06:27	ga_ls7e_ard_3-0-0_089090_2007-10-28_final
2007-11-14 09:06:37	ga_ls7e_ard_3-0-0_089090_2007-11-13_final
2007-12-16 09:06:49	ga_ls7e_ard_3-0-0_089090_2007-12-15_final
2008-02-18 09:06:46	ga_ls7e_ard_3-0-0_089090_2008-02-17_final
2008-03-21 09:06:39	ga_ls7e_ard_3-0-0_089090_2008-03-20_final
2008-03-28 09:12:50	ga_ls7e_ard_3-0-0_090090_2008-03-27_final
2008-04-29 09:12:46	ga_ls7e_ard_3-0-0_090090_2008-04-28_final
2008-06-07 09:18:41	ga_ls7e_ard_3-0-0_091090_2008-06-06_final
2008-08-28 09:05:34	ga_ls7e_ard_3-0-0_089090_2008-08-27_final
2008-10-29 09:17:46	ga_ls7e_ard_3-0-0_091090_2008-10-28_final
2019-10-21 09:06:39	ga_ls7e_ard_3-1-0_090089_2019-10-20_final
2019-10-21 09:07:03	ga_ls7e_ard_3-1-0_090090_2019-10-20_final
2019-11-04 09:18:23	ga_ls7e_ard_3-1-0_092089_2019-11-03_final
2019-11-22 09:05:12	ga_ls7e_ard_3-1-0_090089_2019-11-21_final
2019-11-22 09:05:36	ga_ls7e_ard_3-1-0_090090_2019-11-21_final
2019-12-06 09:16:53	ga_ls7e_ard_3-1-0_092089_2019-12-05_final
2019-12-08 09:04:25	ga_ls7e_ard_3-1-0_090089_2019-12-07_final
2019-12-08 09:04:49	ga_ls7e_ard_3-1-0_090090_2019-12-07_final
2019-12-31 09:09:25	ga_ls7e_ard_3-1-0_091089_2019-12-30_final
2019-12-31 09:09:49	ga_ls7e_ard_3-1-0_091090_2019-12-30_final
2020-01-09 09:02:46	ga_ls7e_ard_3-1-0_090089_2020-01-08_final
2020-01-09 09:03:10	ga_ls7e_ard_3-1-0_090090_2020-01-08_final
2020-01-16 09:08:37	ga_ls7e_ard_3-1-0_091089_2020-01-15_final
2020-02-17 09:07:00	ga_ls7e_ard_3-1-0_091089_2020-02-16_final
2020-02-17 09:07:23	ga_ls7e_ard_3-1-0_091090_2020-02-16_final
2020-03-27 09:11:03	ga_ls7e_ard_3-1-0_092089_2020-03-26_final
2020-03-29 08:58:35	ga_ls7e_ard_3-1-0_090089_2020-03-28_final
2020-04-05 09:04:22	ga_ls7e_ard_3-1-0_091089_2020-04-04_final
2020-04-05 09:04:46	ga_ls7e_ard_3-1-0_091090_2020-04-04_final
2020-05-07 09:02:29	ga_ls7e_ard_3-1-0_091089_2020-05-06_final
2020-05-16 08:55:45	ga_ls7e_ard_3-1-0_090089_2020-05-15_final
2020-05-16 08:56:09	ga_ls7e_ard_3-1-0_090090_2020-05-15_final
2020-05-23 09:01:29	ga_ls7e_ard_3-1-0_091089_2020-05-22_final
2020-05-30 09:07:15	ga_ls7e_ard_3-1-0_092089_2020-05-29_final
2020-06-08 09:00:33	ga_ls7e_ard_3-1-0_091089_2020-06-07_final
2020-06-08 09:00:57	ga_ls7e_ard_3-1-0_091090_2020-06-07_final
2020-06-17 08:53:51	ga_ls7e_ard_3-1-0_090089_2020-06-16_final
2020-06-17 08:54:15	ga_ls7e_ard_3-1-0_090090_2020-06-16_final
2020-06-24 08:59:37	ga_ls7e_ard_3-1-0_091089_2020-06-23_final
2020-06-24 09:00:01	ga_ls7e_ard_3-1-0_091090_2020-06-23_final
2021-08-07 08:23:11	ga_ls7e_ard_3-2-0_090089_2021-08-06_final
2021-08-14 08:28:44	ga_ls7e_ard_3-2-0_091089_2021-08-13_final
2021-08-14 08:29:08	ga_ls7e_ard_3-2-0_091090_2021-08-13_final
2021-08-23 08:21:46	ga_ls7e_ard_3-2-0_090089_2021-08-22_final
2021-08-30 08:27:21	ga_ls7e_ard_3-2-0_091089_2021-08-29_final
2021-08-30 08:27:45	ga_ls7e_ard_3-2-0_091090_2021-08-29_final
2021-09-06 08:32:55	ga_ls7e_ard_3-2-0_092089_2021-09-05_final
2021-09-08 08:20:23	ga_ls7e_ard_3-2-0_090089_2021-09-07_final
2021-09-08 08:20:47	ga_ls7e_ard_3-2-0_090090_2021-09-07_final
2021-09-15 08:25:57	ga_ls7e_ard_3-2-0_091089_2021-09-14_final
2021-09-24 08:18:58	ga_ls7e_ard_3-2-0_090089_2021-09-23_final
2021-09-24 08:19:22	ga_ls7e_ard_3-2-0_090090_2021-09-23_final
2021-10-01 08:24:31	ga_ls7e_ard_3-2-0_091089_2021-09-30_final
2021-10-10 08:17:33	ga_ls7e_ard_3-2-0_090089_2021-10-09_final
2021-10-10 08:17:57	ga_ls7e_ard_3-2-0_090090_2021-10-09_final
2021-10-17 08:23:06	ga_ls7e_ard_3-2-0_091089_2021-10-16_final
2021-10-24 08:28:39	ga_ls7e_ard_3-2-0_092089_2021-10-23_final
2021-10-26 08:16:06	ga_ls7e_ard_3-2-0_090089_2021-10-25_final
2021-10-26 08:16:30	ga_ls7e_ard_3-2-0_090090_2021-10-25_final
2021-11-02 08:21:38	ga_ls7e_ard_3-2-0_091089_2021-11-01_final
2021-11-02 08:22:02	ga_ls7e_ard_3-2-0_091090_2021-11-01_final
2021-11-09 08:27:09	ga_ls7e_ard_3-2-0_092089_2021-11-08_final
2021-11-11 08:14:36	ga_ls7e_ard_3-2-0_090089_2021-11-10_final
2021-11-25 08:25:35	ga_ls7e_ard_3-2-1_092089_2021-11-24_final
2021-12-11 08:24:05	ga_ls7e_ard_3-2-1_092089_2021-12-10_final
2021-12-13 08:11:32	ga_ls7e_ard_3-2-1_090089_2021-12-12_final
2021-12-13 08:11:56	ga_ls7e_ard_3-2-1_090090_2021-12-12_final
2021-12-20 08:17:27	ga_ls7e_ard_3-2-1_091090_2021-12-19_final
2021-12-27 08:22:32	ga_ls7e_ard_3-2-1_092089_2021-12-26_final
2021-12-29 08:09:58	ga_ls7e_ard_3-2-1_090089_2021-12-28_final
2021-12-29 08:10:22	ga_ls7e_ard_3-2-1_090090_2021-12-28_final
2022-01-05 08:15:26	ga_ls7e_ard_3-2-1_091089_2022-01-04_final
2022-01-05 08:15:50	ga_ls7e_ard_3-2-1_091090_2022-01-04_final
2022-01-12 08:20:58	ga_ls7e_ard_3-2-1_092089_2022-01-11_final
2022-01-14 08:08:25	ga_ls7e_ard_3-2-1_090089_2022-01-13_final
2022-01-14 08:08:49	ga_ls7e_ard_3-2-1_090090_2022-01-13_final
2022-01-21 08:13:56	ga_ls7e_ard_3-2-1_091089_2022-01-20_final
2022-01-21 08:14:20	ga_ls7e_ard_3-2-1_091090_2022-01-20_final
2022-01-28 08:19:25	ga_ls7e_ard_3-2-1_092089_2022-01-27_final
2022-01-30 08:06:52	ga_ls7e_ard_3-2-1_090089_2022-01-29_final
2022-01-30 08:07:16	ga_ls7e_ard_3-2-1_090090_2022-01-29_final
2022-02-06 08:12:20	ga_ls7e_ard_3-2-1_091089_2022-02-05_final
2022-02-06 08:12:44	ga_ls7e_ard_3-2-1_091090_2022-02-05_final
2022-02-15 08:05:13	ga_ls7e_ard_3-2-1_090089_2022-02-14_final
2022-02-15 08:05:37	ga_ls7e_ard_3-2-1_090090_2022-02-14_final
2022-02-22 08:10:44	ga_ls7e_ard_3-2-1_091089_2022-02-21_final
2022-02-22 08:11:08	ga_ls7e_ard_3-2-1_091090_2022-02-21_final
2022-03-01 08:16:15	ga_ls7e_ard_3-2-1_092089_2022-02-28_final
2022-03-03 08:03:41	ga_ls7e_ard_3-2-1_090089_2022-03-02_final
2022-03-03 08:04:05	ga_ls7e_ard_3-2-1_090090_2022-03-02_final
2022-03-19 08:02:05	ga_ls7e_ard_3-2-1_090089_2022-03-18_final
2022-03-19 08:02:29	ga_ls7e_ard_3-2-1_090090_2022-03-18_final
2022-03-26 08:07:37	ga_ls7e_ard_3-2-1_091089_2022-03-25_final
2022-03-26 08:08:01	ga_ls7e_ard_3-2-1_091090_2022-03-25_final
2022-04-02 08:13:07	ga_ls7e_ard_3-2-1_092089_2022-04-01_final
2022-04-04 08:00:34	ga_ls7e_ard_3-2-1_090089_2022-04-03_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