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
2005-11-22 09:17:36	ga_ls7e_ard_3-0-0_091088_2005-11-21_final
2005-11-22 09:18:00	ga_ls7e_ard_3-0-0_091089_2005-11-21_final
2006-01-16 09:24:08	ga_ls7e_ard_3-0-0_092088_2006-01-15_final
2006-01-16 09:24:32	ga_ls7e_ard_3-0-0_092089_2006-01-15_final
2006-01-18 09:12:11	ga_ls7e_ard_3-0-0_090089_2006-01-17_final
2006-01-23 09:30:22	ga_ls7e_ard_3-0-0_093088_2006-01-23_final
2006-02-12 09:06:09	ga_ls7e_ard_3-0-0_089089_2006-02-11_final
2006-02-26 09:18:09	ga_ls7e_ard_3-0-0_091088_2006-02-25_final
2006-02-26 09:18:33	ga_ls7e_ard_3-0-0_091089_2006-02-25_final
2006-03-28 09:30:31	ga_ls7e_ard_3-0-0_093088_2006-03-28_final
2006-03-30 09:18:09	ga_ls7e_ard_3-0-0_091088_2006-03-29_final
2006-03-30 09:18:33	ga_ls7e_ard_3-0-0_091089_2006-03-29_final
2006-04-01 09:06:11	ga_ls7e_ard_3-0-0_089089_2006-03-31_final
2006-04-15 09:18:05	ga_ls7e_ard_3-0-0_091088_2006-04-14_final
2006-04-15 09:18:29	ga_ls7e_ard_3-0-0_091089_2006-04-14_final
2006-04-24 09:11:54	ga_ls7e_ard_3-0-0_090088_2006-04-23_final
2006-04-24 09:12:18	ga_ls7e_ard_3-0-0_090089_2006-04-23_final
2006-05-26 09:11:57	ga_ls7e_ard_3-0-0_090088_2006-05-25_final
2006-05-26 09:12:21	ga_ls7e_ard_3-0-0_090089_2006-05-25_final
2006-06-02 09:18:07	ga_ls7e_ard_3-0-0_091088_2006-06-01_final
2006-06-02 09:18:31	ga_ls7e_ard_3-1-0_091089_2006-06-01_final
2006-06-09 09:24:16	ga_ls7e_ard_3-0-0_092088_2006-06-08_final
2006-06-09 09:24:40	ga_ls7e_ard_3-0-0_092089_2006-06-08_final
2015-06-11 09:28:04	ga_ls7e_ard_3-0-0_091089_2015-06-10_final
2015-06-13 09:15:43	ga_ls7e_ard_3-0-0_089089_2015-06-12_final
2017-06-25 09:24:56	ga_ls7e_ard_3-0-0_090089_2017-06-24_final
2017-09-04 09:31:05	ga_ls7e_ard_3-0-0_091089_2017-09-04_final
2017-11-30 09:37:09	ga_ls7e_ard_3-0-0_092089_2017-11-30_final
2017-12-09 09:30:30	ga_ls7e_ard_3-0-0_091088_2017-12-09_final
2017-12-09 09:30:54	ga_ls7e_ard_3-0-0_091089_2017-12-09_final
2021-05-03 08:30:54	ga_ls7e_ard_3-2-0_090088_2021-05-02_final
2021-05-03 08:31:18	ga_ls7e_ard_3-2-0_090089_2021-05-02_final
2021-05-08 08:49:02	ga_ls7e_ard_3-2-0_093088_2021-05-07_final
2021-05-17 08:42:05	ga_ls7e_ard_3-2-0_092088_2021-05-16_final
2021-05-17 08:42:29	ga_ls7e_ard_3-2-0_092089_2021-05-16_final
2021-05-24 08:47:40	ga_ls7e_ard_3-2-0_093088_2021-05-23_final
2021-05-26 08:35:08	ga_ls7e_ard_3-2-0_091088_2021-05-25_final
2021-05-26 08:35:32	ga_ls7e_ard_3-2-0_091089_2021-05-25_final
2021-06-02 08:40:43	ga_ls7e_ard_3-2-0_092088_2021-06-01_final
2021-06-02 08:41:07	ga_ls7e_ard_3-2-0_092089_2021-06-01_final
2021-06-04 08:28:12	ga_ls7e_ard_3-2-0_090088_2021-06-03_final
2021-06-04 08:28:36	ga_ls7e_ard_3-2-0_090089_2021-06-03_final
2021-06-09 08:46:20	ga_ls7e_ard_3-2-0_093088_2021-06-08_final
2021-06-11 08:33:49	ga_ls7e_ard_3-2-0_091088_2021-06-10_final
2021-06-11 08:34:12	ga_ls7e_ard_3-2-0_091089_2021-06-10_final
2021-06-18 08:39:25	ga_ls7e_ard_3-2-0_092088_2021-06-17_final
2021-06-18 08:39:49	ga_ls7e_ard_3-2-0_092089_2021-06-17_final
2021-06-20 08:26:54	ga_ls7e_ard_3-2-0_090088_2021-06-19_final
2021-06-20 08:27:18	ga_ls7e_ard_3-2-0_090089_2021-06-19_final
2021-06-25 08:45:01	ga_ls7e_ard_3-2-0_093088_2021-06-24_final
2021-06-27 08:32:30	ga_ls7e_ard_3-2-0_091088_2021-06-26_final
2021-06-27 08:32:54	ga_ls7e_ard_3-2-0_091089_2021-06-26_final
2021-07-04 08:38:29	ga_ls7e_ard_3-2-0_092089_2021-07-03_final
2021-07-06 08:25:33	ga_ls7e_ard_3-2-0_090088_2021-07-05_final
2021-07-06 08:25:57	ga_ls7e_ard_3-2-0_090089_2021-07-05_final
2021-07-13 08:31:08	ga_ls7e_ard_3-2-0_091088_2021-07-12_final
2021-07-13 08:31:32	ga_ls7e_ard_3-2-0_091089_2021-07-12_final
2021-07-22 08:24:11	ga_ls7e_ard_3-2-0_090088_2021-07-21_final
2021-07-22 08:24:35	ga_ls7e_ard_3-2-0_090089_2021-07-21_final
2021-07-27 08:42:18	ga_ls7e_ard_3-2-0_093088_2021-07-26_final
2021-07-29 08:29:45	ga_ls7e_ard_3-2-0_091088_2021-07-28_final
2021-07-29 08:30:09	ga_ls7e_ard_3-2-0_091089_2021-07-28_final
2021-08-07 08:22:47	ga_ls7e_ard_3-2-0_090088_2021-08-06_final
2021-08-07 08:23:11	ga_ls7e_ard_3-2-0_090089_2021-08-06_final
2021-08-14 08:28:20	ga_ls7e_ard_3-2-0_091088_2021-08-13_final
2021-08-14 08:28:44	ga_ls7e_ard_3-2-0_091089_2021-08-13_final
2021-11-11 08:14:12	ga_ls7e_ard_3-2-0_090088_2021-11-10_final
2021-11-11 08:14:36	ga_ls7e_ard_3-2-0_090089_2021-11-10_final
2021-11-18 08:19:42	ga_ls7e_ard_3-2-1_091088_2021-11-17_final
2021-11-25 08:25:11	ga_ls7e_ard_3-2-1_092088_2021-11-24_final
2021-11-25 08:25:35	ga_ls7e_ard_3-2-1_092089_2021-11-24_final
2021-11-27 08:13:03	ga_ls7e_ard_3-2-1_090089_2021-11-26_final
2021-12-02 08:30:43	ga_ls7e_ard_3-2-1_093088_2021-12-01_final
2021-12-04 08:18:10	ga_ls7e_ard_3-2-1_091088_2021-12-03_final
2021-12-04 08:18:34	ga_ls7e_ard_3-2-1_091089_2021-12-03_final
2021-12-11 08:24:05	ga_ls7e_ard_3-2-1_092089_2021-12-10_final
2021-12-13 08:11:08	ga_ls7e_ard_3-2-1_090088_2021-12-12_final
2021-12-13 08:11:32	ga_ls7e_ard_3-2-1_090089_2021-12-12_final
2021-12-27 08:22:08	ga_ls7e_ard_3-2-1_092088_2021-12-26_final
2021-12-27 08:22:32	ga_ls7e_ard_3-2-1_092089_2021-12-26_final
2022-01-03 08:27:36	ga_ls7e_ard_3-2-1_093088_2022-01-02_final
2022-01-05 08:15:26	ga_ls7e_ard_3-2-1_091089_2022-01-04_final
2022-01-12 08:20:58	ga_ls7e_ard_3-2-1_092089_2022-01-11_final
2022-01-14 08:08:01	ga_ls7e_ard_3-2-1_090088_2022-01-13_final
2022-01-14 08:08:25	ga_ls7e_ard_3-2-1_090089_2022-01-13_final
2022-01-19 08:26:05	ga_ls7e_ard_3-2-1_093088_2022-01-18_final
2022-01-21 08:13:32	ga_ls7e_ard_3-2-1_091088_2022-01-20_final
2022-01-21 08:13:56	ga_ls7e_ard_3-2-1_091089_2022-01-20_final
2022-01-30 08:06:28	ga_ls7e_ard_3-2-1_090088_2022-01-29_final
2022-01-30 08:06:52	ga_ls7e_ard_3-2-1_090089_2022-01-29_final
2022-02-04 08:24:30	ga_ls7e_ard_3-2-1_093088_2022-02-03_final
2022-02-06 08:11:56	ga_ls7e_ard_3-2-1_091088_2022-02-05_final
2022-02-06 08:12:20	ga_ls7e_ard_3-2-1_091089_2022-02-05_final
2022-03-01 08:16:15	ga_ls7e_ard_3-2-1_092089_2022-02-28_final
2022-03-03 08:03:17	ga_ls7e_ard_3-2-1_090088_2022-03-02_final
2022-03-03 08:03:41	ga_ls7e_ard_3-2-1_090089_2022-03-02_final
2022-03-08 08:21:20	ga_ls7e_ard_3-2-1_093088_2022-03-07_final
2022-04-02 08:12:43	ga_ls7e_ard_3-2-1_092088_2022-04-01_final
2022-04-02 08:13:07	ga_ls7e_ard_3-2-1_092089_2022-04-01_final
2022-04-04 08:00:10	ga_ls7e_ard_3-2-1_090088_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years