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
2016-04-29 11:38:37	ga_ls7e_ard_3-0-0_112084_2016-04-29_final
2016-05-15 11:38:39	ga_ls7e_ard_3-1-0_112084_2016-05-15_final
2016-07-02 11:38:49	ga_ls7e_ard_3-1-0_112084_2016-07-02_final
2016-07-18 11:38:50	ga_ls7e_ard_3-0-0_112084_2016-07-18_final
2016-08-19 11:38:53	ga_ls7e_ard_3-0-0_112084_2016-08-19_final
2016-09-04 11:38:57	ga_ls7e_ard_3-1-0_112084_2016-09-04_final
2016-11-23 11:38:47	ga_ls7e_ard_3-1-0_112084_2016-11-23_final
2016-12-09 11:38:44	ga_ls7e_ard_3-0-0_112084_2016-12-09_final
2016-12-25 11:38:37	ga_ls7e_ard_3-1-0_112084_2016-12-25_final
2017-01-10 11:38:27	ga_ls7e_ard_3-1-0_112084_2017-01-10_final
2017-01-26 11:38:17	ga_ls7e_ard_3-1-0_112084_2017-01-26_final
2017-02-27 11:38:19	ga_ls7e_ard_3-0-0_112084_2017-02-27_final
2017-03-15 11:38:26	ga_ls7e_ard_3-1-0_112084_2017-03-15_final
2017-04-16 11:38:36	ga_ls7e_ard_3-0-0_112084_2017-04-16_final
2017-05-18 11:38:45	ga_ls7e_ard_3-0-0_112084_2017-05-18_final
2017-06-19 11:38:53	ga_ls7e_ard_3-1-0_112084_2017-06-19_final
2017-07-21 11:38:55	ga_ls7e_ard_3-0-0_112084_2017-07-21_final
2017-09-07 11:38:52	ga_ls7e_ard_3-1-0_112084_2017-09-07_final
2017-09-23 11:38:50	ga_ls7e_ard_3-0-0_112084_2017-09-23_final
2017-10-25 11:38:54	ga_ls7e_ard_3-0-0_112084_2017-10-25_final
2017-11-10 11:38:52	ga_ls7e_ard_3-0-0_112084_2017-11-10_final
2017-12-12 11:38:39	ga_ls7e_ard_3-1-0_112084_2017-12-12_final
2017-12-28 11:38:28	ga_ls7e_ard_3-0-0_112084_2017-12-28_final
2018-02-14 11:37:47	ga_ls7e_ard_3-0-0_112084_2018-02-14_final
2018-03-18 11:37:25	ga_ls7e_ard_3-0-0_112084_2018-03-18_final
2018-05-05 11:36:38	ga_ls7e_ard_3-1-0_112084_2018-05-05_final
2018-05-21 11:36:23	ga_ls7e_ard_3-0-0_112084_2018-05-21_final
2018-06-06 11:36:08	ga_ls7e_ard_3-1-0_112084_2018-06-06_final
2018-06-22 11:35:50	ga_ls7e_ard_3-0-0_112084_2018-06-22_final
2018-07-24 11:35:14	ga_ls7e_ard_3-1-0_112084_2018-07-24_final
2018-08-09 11:34:56	ga_ls7e_ard_3-0-0_112084_2018-08-09_final
2018-08-25 11:34:38	ga_ls7e_ard_3-0-0_112084_2018-08-25_final
2018-10-28 11:33:10	ga_ls7e_ard_3-1-0_112084_2018-10-28_final
2018-12-31 11:31:31	ga_ls7e_ard_3-1-0_112084_2018-12-31_final
2019-01-16 11:31:01	ga_ls7e_ard_3-1-0_112084_2019-01-16_final
2019-02-01 11:30:30	ga_ls7e_ard_3-0-0_112084_2019-02-01_final
2019-02-17 11:30:02	ga_ls7e_ard_3-1-0_112084_2019-02-17_final
2019-03-05 11:29:32	ga_ls7e_ard_3-1-0_112084_2019-03-05_final
2019-03-21 11:29:01	ga_ls7e_ard_3-1-0_112084_2019-03-21_final
2019-04-06 11:28:28	ga_ls7e_ard_3-0-0_112084_2019-04-06_final
2019-04-22 11:27:53	ga_ls7e_ard_3-0-0_112084_2019-04-22_final
2019-05-08 11:27:17	ga_ls7e_ard_3-0-0_112084_2019-05-08_final
2019-05-24 11:26:39	ga_ls7e_ard_3-1-0_112084_2019-05-24_final
2019-06-09 11:26:05	ga_ls7e_ard_3-0-0_112084_2019-06-09_final
2019-06-25 11:25:30	ga_ls7e_ard_3-1-0_112084_2019-06-25_final
2019-07-11 11:24:53	ga_ls7e_ard_3-1-0_112084_2019-07-11_final
2019-07-27 11:24:15	ga_ls7e_ard_3-1-0_112084_2019-07-27_final
2019-08-12 11:23:36	ga_ls7e_ard_3-1-0_112084_2019-08-12_final
2019-08-28 11:22:56	ga_ls7e_ard_3-1-0_112084_2019-08-28_final
2019-09-13 11:22:14	ga_ls7e_ard_3-1-0_112084_2019-09-13_final
2019-09-29 11:21:32	ga_ls7e_ard_3-1-0_112084_2019-09-29_final
2019-10-15 11:20:52	ga_ls7e_ard_3-1-0_112084_2019-10-15_final
2019-11-16 11:19:27	ga_ls7e_ard_3-1-0_112084_2019-11-16_final
2019-12-02 11:18:41	ga_ls7e_ard_3-1-0_112084_2019-12-02_final
2019-12-18 11:17:53	ga_ls7e_ard_3-1-0_112084_2019-12-18_final
2020-01-03 11:17:03	ga_ls7e_ard_3-1-0_112084_2020-01-03_final
2020-01-19 11:16:15	ga_ls7e_ard_3-1-0_112084_2020-01-19_final
2020-02-04 11:15:27	ga_ls7e_ard_3-1-0_112084_2020-02-04_final
2020-02-20 11:14:37	ga_ls7e_ard_3-1-0_112084_2020-02-20_final
2020-03-07 11:13:46	ga_ls7e_ard_3-1-0_112084_2020-03-07_final
2020-03-23 11:12:53	ga_ls7e_ard_3-1-0_112084_2020-03-23_final
2020-04-08 11:11:59	ga_ls7e_ard_3-1-0_112084_2020-04-08_final
2020-04-24 11:11:03	ga_ls7e_ard_3-1-0_112084_2020-04-24_final
2020-05-10 11:10:05	ga_ls7e_ard_3-1-0_112084_2020-05-10_final
2020-05-26 11:09:05	ga_ls7e_ard_3-1-0_112084_2020-05-26_final
2020-06-11 11:08:10	ga_ls7e_ard_3-1-0_112084_2020-06-11_final
2020-06-27 11:07:13	ga_ls7e_ard_3-1-0_112084_2020-06-27_final
2020-07-13 11:06:15	ga_ls7e_ard_3-1-0_112084_2020-07-13_final
2020-07-29 11:05:16	ga_ls7e_ard_3-1-0_112084_2020-07-29_final
2020-08-14 11:04:16	ga_ls7e_ard_3-1-0_112084_2020-08-14_final
2020-08-30 11:03:14	ga_ls7e_ard_3-1-0_112084_2020-08-30_final
2020-09-15 11:02:10	ga_ls7e_ard_3-1-0_112084_2020-09-15_final
2020-10-01 11:01:08	ga_ls7e_ard_3-1-0_112084_2020-10-01_final
2020-10-17 11:00:06	ga_ls7e_ard_3-1-0_112084_2020-10-17_final
2020-12-20 10:55:35	ga_ls7e_ard_3-1-0_112084_2020-12-20_final
2021-01-05 10:54:28	ga_ls7e_ard_3-1-0_112084_2021-01-05_final
2021-01-21 10:53:20	ga_ls7e_ard_3-2-0_112084_2021-01-21_final
2021-02-06 10:52:10	ga_ls7e_ard_3-2-0_112084_2021-02-06_final
2021-02-22 10:50:57	ga_ls7e_ard_3-2-0_112084_2021-02-22_final
2021-03-10 10:49:43	ga_ls7e_ard_3-2-0_112084_2021-03-10_final
2021-03-26 10:48:26	ga_ls7e_ard_3-2-0_112084_2021-03-26_final
2021-04-27 10:45:46	ga_ls7e_ard_3-2-0_112084_2021-04-27_final
2021-05-13 10:44:26	ga_ls7e_ard_3-2-0_112084_2021-05-13_final
2021-05-29 10:43:04	ga_ls7e_ard_3-2-0_112084_2021-05-29_final
2021-06-14 10:41:45	ga_ls7e_ard_3-2-0_112084_2021-06-14_final
2021-06-30 10:40:25	ga_ls7e_ard_3-2-0_112084_2021-06-30_final
2021-07-16 10:39:04	ga_ls7e_ard_3-2-0_112084_2021-07-16_final
2021-08-01 10:37:40	ga_ls7e_ard_3-2-0_112084_2021-08-01_final
2021-08-17 10:36:15	ga_ls7e_ard_3-2-0_112084_2021-08-17_final
2021-09-02 10:34:52	ga_ls7e_ard_3-2-0_112084_2021-09-02_final
2021-09-18 10:33:28	ga_ls7e_ard_3-2-0_112084_2021-09-18_final
2021-10-04 10:32:02	ga_ls7e_ard_3-2-0_112084_2021-10-04_final
2021-11-21 10:27:34	ga_ls7e_ard_3-2-1_112084_2021-11-21_final
2021-12-07 10:26:04	ga_ls7e_ard_3-2-1_112084_2021-12-07_final
2021-12-23 10:24:32	ga_ls7e_ard_3-2-1_112084_2021-12-23_final
2022-01-08 10:22:56	ga_ls7e_ard_3-2-1_112084_2022-01-08_final
2022-01-24 10:21:25	ga_ls7e_ard_3-2-1_112084_2022-01-24_final
2022-02-09 10:19:49	ga_ls7e_ard_3-2-1_112084_2022-02-09_final
2022-02-25 10:18:14	ga_ls7e_ard_3-2-1_112084_2022-02-25_final
2022-03-13 10:16:39	ga_ls7e_ard_3-2-1_112084_2022-03-13_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