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
2017-11-24 10:12:41	ga_ls7e_ard_3-0-0_098085_2017-11-24_final
2017-11-25 09:17:03	ga_ls7e_ard_3-0-0_089085_2017-11-24_final
2017-11-25 09:17:27	ga_ls7e_ard_3-0-0_089086_2017-11-24_final
2017-11-28 09:47:56	ga_ls7e_ard_3-0-0_094085_2017-11-28_final
2017-11-28 09:48:20	ga_ls7e_ard_3-0-0_094086_2017-11-28_final
2017-12-26 10:12:22	ga_ls7e_ard_3-0-0_098085_2017-12-26_final
2017-12-27 09:16:44	ga_ls7e_ard_3-0-0_089085_2017-12-26_final
2017-12-27 09:17:08	ga_ls7e_ard_3-0-0_089086_2017-12-26_final
2018-01-06 09:53:41	ga_ls7e_ard_3-0-0_095085_2018-01-06_final
2018-01-06 09:54:05	ga_ls7e_ard_3-0-0_095086_2018-01-06_final
2018-01-08 09:41:42	ga_ls7e_ard_3-0-0_093086_2018-01-08_final
2018-01-10 09:28:55	ga_ls7e_ard_3-0-0_091085_2018-01-09_final
2018-01-10 09:29:19	ga_ls7e_ard_3-1-0_091086_2018-01-09_final
2018-01-11 10:12:10	ga_ls7e_ard_3-0-0_098085_2018-01-11_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
2018-01-29 09:59:31	ga_ls7e_ard_3-0-0_096085_2018-01-29_final
2018-02-04 09:22:20	ga_ls7e_ard_3-1-0_090085_2018-02-03_final
2018-02-04 09:22:44	ga_ls7e_ard_3-0-0_090086_2018-02-03_final
2018-02-05 10:05:34	ga_ls7e_ard_3-0-0_097085_2018-02-05_final
2018-02-07 09:53:11	ga_ls7e_ard_3-0-0_095085_2018-02-07_final
2018-02-07 09:53:35	ga_ls7e_ard_3-0-0_095086_2018-02-07_final
2018-04-09 09:21:32	ga_ls7e_ard_3-0-0_090085_2018-04-08_final
2018-04-09 09:21:56	ga_ls7e_ard_3-0-0_090086_2018-04-08_final
2018-04-10 10:04:47	ga_ls7e_ard_3-0-0_097085_2018-04-10_final
2018-04-12 09:52:23	ga_ls7e_ard_3-0-0_095085_2018-04-12_final
2018-04-12 09:52:47	ga_ls7e_ard_3-0-0_095086_2018-04-12_final
2018-04-14 09:40:00	ga_ls7e_ard_3-0-0_093085_2018-04-14_final
2018-04-16 09:27:36	ga_ls7e_ard_3-0-0_091085_2018-04-15_final
2018-04-16 09:28:00	ga_ls7e_ard_3-1-0_091086_2018-04-15_final
2018-04-17 10:10:51	ga_ls7e_ard_3-0-0_098085_2018-04-17_final
2018-04-18 09:15:12	ga_ls7e_ard_3-0-0_089085_2018-04-17_final
2018-04-18 09:15:36	ga_ls7e_ard_3-0-0_089086_2018-04-17_final
2018-04-19 09:58:27	ga_ls7e_ard_3-0-0_096085_2018-04-19_final
2018-04-19 09:58:51	ga_ls7e_ard_3-1-0_096086_2018-04-19_final
2018-04-21 09:46:03	ga_ls7e_ard_3-0-0_094085_2018-04-21_final
2018-04-21 09:46:27	ga_ls7e_ard_3-0-0_094086_2018-04-21_final
2018-04-28 09:52:06	ga_ls7e_ard_3-0-0_095085_2018-04-28_final
2018-04-28 09:52:30	ga_ls7e_ard_3-0-0_095086_2018-04-28_final
2018-05-19 10:10:18	ga_ls7e_ard_3-0-0_098085_2018-05-19_final
2018-05-20 09:14:40	ga_ls7e_ard_3-0-0_089085_2018-05-19_final
2018-05-20 09:15:03	ga_ls7e_ard_3-0-0_089086_2018-05-19_final
2018-06-28 09:20:33	ga_ls7e_ard_3-0-0_090086_2018-06-27_final
2018-06-29 10:03:23	ga_ls7e_ard_3-0-0_097085_2018-06-29_final
2018-07-01 09:50:59	ga_ls7e_ard_3-0-0_095085_2018-07-01_final
2018-07-01 09:51:23	ga_ls7e_ard_3-0-0_095086_2018-07-01_final
2018-07-03 09:38:35	ga_ls7e_ard_3-0-0_093085_2018-07-03_final
2018-07-03 09:38:59	ga_ls7e_ard_3-0-0_093086_2018-07-03_final
2018-08-18 09:50:06	ga_ls7e_ard_3-0-0_095085_2018-08-18_final
2018-08-18 09:50:30	ga_ls7e_ard_3-0-0_095086_2018-08-18_final
2018-08-20 09:37:42	ga_ls7e_ard_3-0-0_093085_2018-08-20_final
2018-08-20 09:38:06	ga_ls7e_ard_3-0-0_093086_2018-08-20_final
2018-08-22 09:25:18	ga_ls7e_ard_3-0-0_091085_2018-08-21_final
2018-08-22 09:25:42	ga_ls7e_ard_3-1-0_091086_2018-08-21_final
2018-08-24 09:12:54	ga_ls7e_ard_3-0-0_089085_2018-08-23_final
2018-08-24 09:13:18	ga_ls7e_ard_3-0-0_089086_2018-08-23_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
2019-06-13 09:22:45	ga_ls7e_ard_3-0-0_092085_2019-06-12_final
2019-06-13 09:23:09	ga_ls7e_ard_3-0-0_092086_2019-06-12_final
2019-07-20 09:39:52	ga_ls7e_ard_3-0-0_095085_2019-07-20_final
2019-07-20 09:40:16	ga_ls7e_ard_3-0-0_095086_2019-07-20_final
2019-07-22 09:27:26	ga_ls7e_ard_3-0-0_093085_2019-07-21_final
2019-07-22 09:27:50	ga_ls7e_ard_3-0-0_093086_2019-07-21_final
2019-07-24 09:15:00	ga_ls7e_ard_3-0-0_091085_2019-07-23_final
2019-07-24 09:15:24	ga_ls7e_ard_3-1-0_091086_2019-07-23_final
2019-08-02 09:08:27	ga_ls7e_ard_3-1-0_090085_2019-08-01_final
2019-08-02 09:08:51	ga_ls7e_ard_3-0-0_090086_2019-08-01_final
2019-08-05 09:39:14	ga_ls7e_ard_3-0-0_095085_2019-08-05_final
2019-08-05 09:39:38	ga_ls7e_ard_3-0-0_095086_2019-08-05_final
2019-08-07 09:26:47	ga_ls7e_ard_3-0-0_093085_2019-08-06_final
2019-08-07 09:27:11	ga_ls7e_ard_3-0-0_093086_2019-08-06_final
2019-09-19 09:06:24	ga_ls7e_ard_3-1-0_090085_2019-09-18_final
2019-09-19 09:06:48	ga_ls7e_ard_3-1-0_090086_2019-09-18_final
2019-09-22 09:37:10	ga_ls7e_ard_3-1-0_095085_2019-09-22_final
2019-09-22 09:37:34	ga_ls7e_ard_3-1-0_095086_2019-09-22_final
2019-09-24 09:24:43	ga_ls7e_ard_3-1-0_093085_2019-09-23_final
2019-09-24 09:25:07	ga_ls7e_ard_3-1-0_093086_2019-09-23_final
2019-11-16 09:40:58	ga_ls7e_ard_3-1-0_096085_2019-11-16_final
2019-11-18 09:28:31	ga_ls7e_ard_3-1-0_094085_2019-11-17_final
2019-11-18 09:28:54	ga_ls7e_ard_3-1-0_094086_2019-11-17_final
2019-11-27 09:21:54	ga_ls7e_ard_3-1-0_093085_2019-11-26_final
2019-11-27 09:22:18	ga_ls7e_ard_3-1-0_093086_2019-11-26_final
2019-11-29 09:09:27	ga_ls7e_ard_3-1-0_091085_2019-11-28_final
2019-11-29 09:09:51	ga_ls7e_ard_3-1-0_091086_2019-11-28_final
2019-11-30 09:52:39	ga_ls7e_ard_3-1-0_098085_2019-11-30_final
2019-12-01 08:56:59	ga_ls7e_ard_3-1-0_089085_2019-11-30_final
2019-12-01 08:57:23	ga_ls7e_ard_3-1-0_089086_2019-11-30_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
2020-02-01 09:06:13	ga_ls7e_ard_3-1-0_091085_2020-01-31_final
2020-02-01 09:06:37	ga_ls7e_ard_3-1-0_091086_2020-01-31_final
2020-02-02 09:49:26	ga_ls7e_ard_3-1-0_098085_2020-02-02_final
2020-02-03 08:53:45	ga_ls7e_ard_3-1-0_089085_2020-02-02_final
2020-02-03 08:54:09	ga_ls7e_ard_3-1-0_089086_2020-02-02_final
2020-02-04 09:36:58	ga_ls7e_ard_3-1-0_096085_2020-02-04_final
2020-02-04 09:37:22	ga_ls7e_ard_3-1-0_096086_2020-02-04_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