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:

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First 100 results (query limit)

Time (local)	Label
2015-09-04 09:45:40	ga_ls7e_ard_3-0-0_094086_2015-09-04_final
2015-09-08 09:20:58	ga_ls7e_ard_3-0-0_090086_2015-09-07_final
2015-12-23 09:59:27	ga_ls7e_ard_3-1-0_096086_2015-12-23_final
2015-12-25 09:47:07	ga_ls7e_ard_3-0-0_094086_2015-12-25_final
2015-12-27 09:34:46	ga_ls7e_ard_3-0-0_092086_2015-12-27_final
2015-12-29 09:22:26	ga_ls7e_ard_3-0-0_090086_2015-12-28_final
2016-03-14 09:47:54	ga_ls7e_ard_3-0-0_094086_2016-03-14_final
2016-03-16 09:35:33	ga_ls7e_ard_3-0-0_092086_2016-03-16_final
2017-11-25 09:17:27	ga_ls7e_ard_3-0-0_089086_2017-11-24_final
2017-11-28 09:48:20	ga_ls7e_ard_3-0-0_094086_2017-11-28_final
2017-12-16 09:35:48	ga_ls7e_ard_3-0-0_092086_2017-12-16_final
2017-12-18 09:23:02	ga_ls7e_ard_3-1-0_090085_2017-12-17_final
2017-12-18 09:23:26	ga_ls7e_ard_3-0-0_090086_2017-12-17_final
2018-01-27 10:11:55	ga_ls7e_ard_3-0-0_098085_2018-01-27_final
2018-01-28 09:16:40	ga_ls7e_ard_3-0-0_089086_2018-01-27_final
2018-02-27 09:28:16	ga_ls7e_ard_3-0-0_091085_2018-02-26_final
2018-02-27 09:28:40	ga_ls7e_ard_3-1-0_091086_2018-02-26_final
2018-02-28 10:11:31	ga_ls7e_ard_3-0-0_098085_2018-02-28_final
2018-03-01 09:16:17	ga_ls7e_ard_3-0-0_089086_2018-02-28_final
2018-03-24 09:22:10	ga_ls7e_ard_3-0-0_090086_2018-03-23_final
2018-03-25 10:05:01	ga_ls7e_ard_3-0-0_097085_2018-03-25_final
2018-04-05 09:46:43	ga_ls7e_ard_3-0-0_094086_2018-04-05_final
2018-04-07 09:33:56	ga_ls7e_ard_3-0-0_092085_2018-04-07_final
2018-04-07 09:34:20	ga_ls7e_ard_3-0-0_092086_2018-04-07_final
2018-05-04 09:14:55	ga_ls7e_ard_3-0-0_089085_2018-05-03_final
2018-05-04 09:15:19	ga_ls7e_ard_3-0-0_089086_2018-05-03_final
2018-05-05 09:58:09	ga_ls7e_ard_3-0-0_096085_2018-05-05_final
2018-05-09 09:33:21	ga_ls7e_ard_3-0-0_092085_2018-05-09_final
2018-05-09 09:33:45	ga_ls7e_ard_3-0-0_092086_2018-05-09_final
2018-05-11 09:20:58	ga_ls7e_ard_3-1-0_090085_2018-05-10_final
2018-05-11 09:21:22	ga_ls7e_ard_3-0-0_090086_2018-05-10_final
2018-06-15 09:51:18	ga_ls7e_ard_3-0-0_095085_2018-06-15_final
2018-06-15 09:51:42	ga_ls7e_ard_3-0-0_095086_2018-06-15_final
2018-06-19 09:26:30	ga_ls7e_ard_3-0-0_091085_2018-06-18_final
2018-06-19 09:26:54	ga_ls7e_ard_3-1-0_091086_2018-06-18_final
2018-08-25 09:56:09	ga_ls7e_ard_3-0-0_096085_2018-08-25_final
2018-08-25 09:56:33	ga_ls7e_ard_3-1-0_096086_2018-08-25_final
2018-08-27 09:44:09	ga_ls7e_ard_3-0-0_094086_2018-08-27_final
2018-08-29 09:31:21	ga_ls7e_ard_3-0-0_092085_2018-08-29_final
2018-08-29 09:31:45	ga_ls7e_ard_3-0-0_092086_2018-08-29_final
2018-09-01 10:02:11	ga_ls7e_ard_3-0-0_097085_2018-09-01_final
2018-09-21 09:37:01	ga_ls7e_ard_3-0-0_093085_2018-09-21_final
2018-09-21 09:37:25	ga_ls7e_ard_3-0-0_093086_2018-09-21_final
2018-10-07 09:37:02	ga_ls7e_ard_3-0-0_093086_2018-10-07_final
2018-10-09 09:24:13	ga_ls7e_ard_3-0-0_091085_2018-10-08_final
2018-10-09 09:24:37	ga_ls7e_ard_3-1-0_091086_2018-10-08_final
2018-11-01 09:29:53	ga_ls7e_ard_3-1-0_092085_2018-10-31_final
2018-11-01 09:30:17	ga_ls7e_ard_3-0-0_092086_2018-11-01_final
2018-11-03 09:17:53	ga_ls7e_ard_3-0-0_090086_2018-11-02_final
2018-11-26 09:23:07	ga_ls7e_ard_3-0-0_091085_2018-11-25_final
2018-11-26 09:23:31	ga_ls7e_ard_3-1-0_091086_2018-11-25_final
2018-12-31 09:53:02	ga_ls7e_ard_3-0-0_096085_2018-12-31_final
2018-12-31 09:53:26	ga_ls7e_ard_3-1-0_096086_2018-12-31_final
2019-01-02 09:41:01	ga_ls7e_ard_3-0-0_094086_2019-01-02_final
2019-02-24 09:57:31	ga_ls7e_ard_3-1-0_097085_2019-02-24_final
2019-02-26 09:45:05	ga_ls7e_ard_3-1-0_095085_2019-02-26_final
2019-02-26 09:45:29	ga_ls7e_ard_3-1-0_095086_2019-02-26_final
2019-02-28 09:32:40	ga_ls7e_ard_3-1-0_093085_2019-02-28_final
2019-02-28 09:33:04	ga_ls7e_ard_3-1-0_093086_2019-02-28_final
2019-03-02 09:20:15	ga_ls7e_ard_3-1-0_091085_2019-03-01_final
2019-03-02 09:20:39	ga_ls7e_ard_3-1-0_091086_2019-03-01_final
2019-03-04 09:07:49	ga_ls7e_ard_3-1-0_089085_2019-03-03_final
2019-03-04 09:08:13	ga_ls7e_ard_3-1-0_089086_2019-03-03_final
2019-03-05 09:51:03	ga_ls7e_ard_3-1-0_096085_2019-03-05_final
2019-03-09 09:26:12	ga_ls7e_ard_3-1-0_092085_2019-03-08_final
2019-03-11 09:13:47	ga_ls7e_ard_3-1-0_090085_2019-03-10_final
2019-03-11 09:14:10	ga_ls7e_ard_3-1-0_090086_2019-03-10_final
2019-03-14 09:44:35	ga_ls7e_ard_3-1-0_095085_2019-03-14_final
2019-03-14 09:44:59	ga_ls7e_ard_3-1-0_095086_2019-03-14_final
2019-03-21 09:50:32	ga_ls7e_ard_3-1-0_096085_2019-03-21_final
2019-03-23 09:38:06	ga_ls7e_ard_3-1-0_094085_2019-03-23_final
2019-03-23 09:38:30	ga_ls7e_ard_3-1-0_094086_2019-03-23_final
2019-03-30 09:44:02	ga_ls7e_ard_3-0-0_095085_2019-03-30_final
2019-03-30 09:44:26	ga_ls7e_ard_3-0-0_095086_2019-03-30_final
2019-04-01 09:31:37	ga_ls7e_ard_3-0-0_093085_2019-04-01_final
2019-04-01 09:32:01	ga_ls7e_ard_3-0-0_093086_2019-04-01_final
2019-04-03 09:19:11	ga_ls7e_ard_3-0-0_091085_2019-04-02_final
2019-04-03 09:19:35	ga_ls7e_ard_3-1-0_091086_2019-04-02_final
2019-04-04 10:02:24	ga_ls7e_ard_3-0-0_098085_2019-04-04_final
2019-04-17 09:31:03	ga_ls7e_ard_3-0-0_093085_2019-04-17_final
2019-04-19 09:18:37	ga_ls7e_ard_3-0-0_091085_2019-04-18_final
2019-04-19 09:19:01	ga_ls7e_ard_3-1-0_091086_2019-04-18_final
2019-05-06 10:01:14	ga_ls7e_ard_3-0-0_098085_2019-05-06_final
2019-05-07 09:05:34	ga_ls7e_ard_3-0-0_089085_2019-05-06_final
2019-05-07 09:05:58	ga_ls7e_ard_3-0-0_089086_2019-05-06_final
2019-05-08 09:48:48	ga_ls7e_ard_3-0-0_096085_2019-05-08_final
2019-05-17 09:42:16	ga_ls7e_ard_3-0-0_095085_2019-05-17_final
2019-05-17 09:42:40	ga_ls7e_ard_3-0-0_095086_2019-05-17_final
2019-05-19 09:30:13	ga_ls7e_ard_3-0-0_093086_2019-05-19_final
2019-06-06 09:16:49	ga_ls7e_ard_3-0-0_091085_2019-06-05_final
2019-06-06 09:17:13	ga_ls7e_ard_3-1-0_091086_2019-06-05_final
2019-06-07 10:00:02	ga_ls7e_ard_3-0-0_098085_2019-06-07_final
2019-06-08 09:04:23	ga_ls7e_ard_3-0-0_089085_2019-06-07_final
2019-06-08 09:04:47	ga_ls7e_ard_3-0-0_089086_2019-06-07_final
2019-12-08 09:02:49	ga_ls7e_ard_3-1-0_090085_2019-12-07_final
2019-12-08 09:03:13	ga_ls7e_ard_3-1-0_090086_2019-12-07_final
2019-12-09 09:46:02	ga_ls7e_ard_3-1-0_097085_2019-12-09_final
2020-02-06 09:24:30	ga_ls7e_ard_3-1-0_094085_2020-02-05_final
2020-02-06 09:24:54	ga_ls7e_ard_3-1-0_094086_2020-02-05_final
2020-02-08 09:12:03	ga_ls7e_ard_3-1-0_092085_2020-02-07_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