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
2016-12-18 11:30:54	ga_ls7e_ard_3-0-0_111080_2016-12-18_final
2017-01-03 11:30:45	ga_ls7e_ard_3-0-0_111080_2017-01-03_final
2017-02-04 11:30:28	ga_ls7e_ard_3-0-0_111080_2017-02-04_final
2017-03-08 11:30:37	ga_ls7e_ard_3-0-0_111080_2017-03-08_final
2017-03-24 11:30:42	ga_ls7e_ard_3-0-0_111080_2017-03-24_final
2017-06-12 11:31:05	ga_ls7e_ard_3-0-0_111080_2017-06-12_final
2017-06-28 11:31:08	ga_ls7e_ard_3-0-0_111080_2017-06-28_final
2017-07-30 11:31:07	ga_ls7e_ard_3-0-0_111080_2017-07-30_final
2017-08-31 11:31:05	ga_ls7e_ard_3-0-0_111080_2017-08-31_final
2017-09-16 11:31:03	ga_ls7e_ard_3-0-0_111080_2017-09-16_final
2017-10-02 11:31:05	ga_ls7e_ard_3-0-0_111080_2017-10-02_final
2017-11-03 11:31:07	ga_ls7e_ard_3-0-0_111080_2017-11-03_final
2017-11-19 11:31:03	ga_ls7e_ard_3-0-0_111080_2017-11-19_final
2017-12-21 11:30:47	ga_ls7e_ard_3-0-0_111080_2017-12-21_final
2018-01-06 11:30:35	ga_ls7e_ard_3-0-0_111080_2018-01-06_final
2018-02-07 11:30:04	ga_ls7e_ard_3-0-0_111080_2018-02-07_final
2018-02-23 11:29:55	ga_ls7e_ard_3-0-0_111080_2018-02-23_final
2018-03-11 11:29:44	ga_ls7e_ard_3-0-0_111080_2018-03-11_final
2018-03-27 11:29:31	ga_ls7e_ard_3-0-0_111080_2018-03-27_final
2018-04-12 11:29:16	ga_ls7e_ard_3-0-0_111080_2018-04-12_final
2018-04-28 11:29:00	ga_ls7e_ard_3-0-0_111080_2018-04-28_final
2018-05-14 11:28:43	ga_ls7e_ard_3-0-0_111080_2018-05-14_final
2018-05-30 11:28:28	ga_ls7e_ard_3-0-0_111080_2018-05-30_final
2018-06-15 11:28:11	ga_ls7e_ard_3-0-0_111080_2018-06-15_final
2018-08-02 11:27:18	ga_ls7e_ard_3-0-0_111080_2018-08-02_final
2018-09-03 11:26:40	ga_ls7e_ard_3-0-0_111080_2018-09-03_final
2018-09-19 11:26:19	ga_ls7e_ard_3-0-0_111080_2018-09-19_final
2018-10-05 11:25:56	ga_ls7e_ard_3-0-0_111080_2018-10-05_final
2018-10-21 11:25:33	ga_ls7e_ard_3-0-0_111080_2018-10-21_final
2018-11-22 11:24:49	ga_ls7e_ard_3-0-0_111080_2018-11-22_final
2018-12-08 11:24:24	ga_ls7e_ard_3-0-0_111080_2018-12-08_final
2018-12-24 11:23:57	ga_ls7e_ard_3-0-0_111080_2018-12-24_final
2019-01-09 11:23:28	ga_ls7e_ard_3-0-0_111080_2019-01-09_final
2019-01-25 11:22:57	ga_ls7e_ard_3-0-0_111080_2019-01-25_final
2019-02-10 11:22:28	ga_ls7e_ard_3-0-0_111080_2019-02-10_final
2019-02-26 11:21:59	ga_ls7e_ard_3-1-0_111080_2019-02-26_final
2019-03-14 11:21:28	ga_ls7e_ard_3-1-0_111080_2019-03-14_final
2019-03-30 11:20:56	ga_ls7e_ard_3-0-0_111080_2019-03-30_final
2019-04-15 11:20:22	ga_ls7e_ard_3-0-0_111080_2019-04-15_final
2019-05-01 11:19:46	ga_ls7e_ard_3-0-0_111080_2019-05-01_final
2019-06-02 11:18:34	ga_ls7e_ard_3-0-0_111080_2019-06-02_final
2019-06-18 11:17:59	ga_ls7e_ard_3-0-0_111080_2019-06-18_final
2019-07-04 11:17:23	ga_ls7e_ard_3-0-0_111080_2019-07-04_final
2019-07-20 11:16:46	ga_ls7e_ard_3-0-0_111080_2019-07-20_final
2019-08-05 11:16:07	ga_ls7e_ard_3-0-0_111080_2019-08-05_final
2019-08-21 11:15:27	ga_ls7e_ard_3-0-0_111080_2019-08-21_final
2019-09-06 11:14:46	ga_ls7e_ard_3-1-0_111080_2019-09-06_final
2019-09-22 11:14:03	ga_ls7e_ard_3-1-0_111080_2019-09-22_final
2019-10-08 11:13:23	ga_ls7e_ard_3-1-0_111080_2019-10-08_final
2019-10-24 11:12:42	ga_ls7e_ard_3-1-0_111080_2019-10-24_final
2019-11-09 11:11:59	ga_ls7e_ard_3-1-0_111080_2019-11-09_final
2019-11-25 11:11:15	ga_ls7e_ard_3-1-0_111080_2019-11-25_final
2019-12-11 11:10:27	ga_ls7e_ard_3-1-0_111080_2019-12-11_final
2019-12-27 11:09:38	ga_ls7e_ard_3-1-0_111080_2019-12-27_final
2020-01-12 11:08:49	ga_ls7e_ard_3-1-0_111080_2020-01-12_final
2020-01-28 11:08:01	ga_ls7e_ard_3-1-0_111080_2020-01-28_final
2020-02-13 11:07:13	ga_ls7e_ard_3-1-0_111080_2020-02-13_final
2020-02-29 11:06:22	ga_ls7e_ard_3-1-0_111080_2020-02-29_final
2020-03-16 11:05:30	ga_ls7e_ard_3-1-0_111080_2020-03-16_final
2020-04-01 11:04:36	ga_ls7e_ard_3-1-0_111080_2020-04-01_final
2020-04-17 11:03:41	ga_ls7e_ard_3-1-0_111080_2020-04-17_final
2020-05-03 11:02:44	ga_ls7e_ard_3-1-0_111080_2020-05-03_final
2020-05-19 11:01:45	ga_ls7e_ard_3-1-0_111080_2020-05-19_final
2020-06-04 11:00:48	ga_ls7e_ard_3-1-0_111080_2020-06-04_final
2020-06-20 10:59:52	ga_ls7e_ard_3-1-0_111080_2020-06-20_final
2020-07-06 10:58:54	ga_ls7e_ard_3-1-0_111080_2020-07-06_final
2020-07-22 10:57:56	ga_ls7e_ard_3-1-0_111080_2020-07-22_final
2020-08-07 10:56:56	ga_ls7e_ard_3-1-0_111080_2020-08-07_final
2020-08-23 10:55:54	ga_ls7e_ard_3-1-0_111080_2020-08-23_final
2020-09-08 10:54:52	ga_ls7e_ard_3-1-0_111080_2020-09-08_final
2020-09-24 10:53:48	ga_ls7e_ard_3-1-0_111080_2020-09-24_final
2020-10-10 10:52:47	ga_ls7e_ard_3-1-0_111080_2020-10-10_final
2020-10-26 10:51:44	ga_ls7e_ard_3-1-0_111080_2020-10-26_final
2020-11-11 10:50:39	ga_ls7e_ard_3-1-0_111080_2020-11-11_final
2020-11-27 10:49:32	ga_ls7e_ard_3-1-0_111080_2020-11-27_final
2020-12-13 10:48:21	ga_ls7e_ard_3-1-0_111080_2020-12-13_final
2021-01-30 10:44:54	ga_ls7e_ard_3-2-0_111080_2021-01-30_final
2021-02-15 10:43:43	ga_ls7e_ard_3-2-0_111080_2021-02-15_final
2021-03-19 10:41:13	ga_ls7e_ard_3-2-0_111080_2021-03-19_final
2021-04-04 10:39:55	ga_ls7e_ard_3-2-0_111080_2021-04-04_final
2021-04-20 10:38:35	ga_ls7e_ard_3-2-0_111080_2021-04-20_final
2021-05-22 10:35:53	ga_ls7e_ard_3-2-0_111080_2021-05-22_final
2021-06-07 10:34:32	ga_ls7e_ard_3-2-0_111080_2021-06-07_final
2021-06-23 10:33:14	ga_ls7e_ard_3-2-0_111080_2021-06-23_final
2021-07-09 10:31:53	ga_ls7e_ard_3-2-0_111080_2021-07-09_final
2021-07-25 10:30:31	ga_ls7e_ard_3-2-0_111080_2021-07-25_final
2021-08-10 10:29:06	ga_ls7e_ard_3-2-0_111080_2021-08-10_final
2021-08-26 10:27:42	ga_ls7e_ard_3-2-0_111080_2021-08-26_final
2021-09-11 10:26:18	ga_ls7e_ard_3-2-0_111080_2021-09-11_final
2021-09-27 10:24:52	ga_ls7e_ard_3-2-0_111080_2021-09-27_final
2021-10-13 10:23:28	ga_ls7e_ard_3-2-0_111080_2021-10-13_final
2021-10-29 10:22:01	ga_ls7e_ard_3-2-0_111080_2021-10-29_final
2021-11-14 10:20:29	ga_ls7e_ard_3-2-1_111080_2021-11-14_final
2021-11-30 10:18:57	ga_ls7e_ard_3-2-1_111080_2021-11-30_final
2021-12-16 10:17:26	ga_ls7e_ard_3-2-1_111080_2021-12-16_final
2022-01-01 10:15:51	ga_ls7e_ard_3-2-1_111080_2022-01-01_final
2022-01-17 10:14:19	ga_ls7e_ard_3-2-1_111080_2022-01-17_final
2022-02-02 10:12:45	ga_ls7e_ard_3-2-1_111080_2022-02-02_final
2022-02-18 10:11:07	ga_ls7e_ard_3-2-1_111080_2022-02-18_final
2022-03-06 10:09:35	ga_ls7e_ard_3-2-1_111080_2022-03-06_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