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
2014-04-14 09:17:45	ga_ls7e_ard_3-1-0_090085_2014-04-13_final
2014-04-15 10:01:01	ga_ls7e_ard_3-0-0_097085_2014-04-15_final
2014-04-22 10:07:18	ga_ls7e_ard_3-0-0_098085_2014-04-22_final
2014-04-23 09:11:41	ga_ls7e_ard_3-0-0_089085_2014-04-22_final
2014-04-24 09:54:58	ga_ls7e_ard_3-0-0_096085_2014-04-24_final
2014-07-27 10:07:44	ga_ls7e_ard_3-0-0_098085_2014-07-27_final
2014-07-28 09:12:07	ga_ls7e_ard_3-0-0_089085_2014-07-27_final
2014-07-29 09:55:23	ga_ls7e_ard_3-0-0_096085_2014-07-29_final
2014-08-20 09:18:20	ga_ls7e_ard_3-1-0_090085_2014-08-19_final
2014-08-21 10:01:35	ga_ls7e_ard_3-0-0_097085_2014-08-21_final
2014-08-23 09:49:13	ga_ls7e_ard_3-0-0_095085_2014-08-23_final
2014-11-04 09:43:37	ga_ls7e_ard_3-0-0_094085_2014-11-04_final
2014-11-06 09:31:16	ga_ls7e_ard_3-0-0_092085_2014-11-06_final
2014-11-09 10:02:12	ga_ls7e_ard_3-0-0_097085_2014-11-09_final
2014-12-02 10:08:30	ga_ls7e_ard_3-0-0_098085_2014-12-02_final
2014-12-04 09:56:09	ga_ls7e_ard_3-0-0_096085_2014-12-04_final
2014-12-06 09:43:48	ga_ls7e_ard_3-0-0_094085_2014-12-06_final
2014-12-08 09:31:26	ga_ls7e_ard_3-0-0_092085_2014-12-08_final
2014-12-10 09:19:05	ga_ls7e_ard_3-1-0_090085_2014-12-09_final
2014-12-11 10:02:22	ga_ls7e_ard_3-0-0_097085_2014-12-11_final
2015-02-10 09:31:44	ga_ls7e_ard_3-0-0_092085_2015-02-10_final
2015-02-12 09:19:21	ga_ls7e_ard_3-1-0_090085_2015-02-11_final
2015-02-13 10:02:36	ga_ls7e_ard_3-0-0_097085_2015-02-13_final
2015-02-15 09:50:16	ga_ls7e_ard_3-0-0_095085_2015-02-15_final
2015-02-24 09:44:14	ga_ls7e_ard_3-0-0_094085_2015-02-24_final
2015-03-30 09:32:06	ga_ls7e_ard_3-0-0_092085_2015-03-30_final
2015-04-01 09:19:45	ga_ls7e_ard_3-0-0_090085_2015-03-31_final
2015-04-02 10:03:02	ga_ls7e_ard_3-0-0_097085_2015-04-02_final
2015-04-04 09:50:42	ga_ls7e_ard_3-0-0_095085_2015-04-04_final
2015-04-06 09:38:22	ga_ls7e_ard_3-0-0_093085_2015-04-06_final
2015-06-23 09:51:12	ga_ls7e_ard_3-0-0_095085_2015-06-23_final
2015-06-25 09:38:50	ga_ls7e_ard_3-0-0_093085_2015-06-25_final
2015-06-27 09:26:29	ga_ls7e_ard_3-0-0_091085_2015-06-26_final
2015-07-16 09:57:31	ga_ls7e_ard_3-0-0_096085_2015-07-16_final
2015-07-18 09:45:09	ga_ls7e_ard_3-0-0_094085_2015-07-18_final
2015-07-20 09:32:48	ga_ls7e_ard_3-0-0_092085_2015-07-20_final
2015-08-10 09:51:25	ga_ls7e_ard_3-0-0_095085_2015-08-10_final
2017-05-08 09:23:09	ga_ls7e_ard_3-1-0_090085_2017-05-07_final
2017-05-09 10:06:25	ga_ls7e_ard_3-0-0_097085_2017-05-09_final
2017-05-27 09:54:07	ga_ls7e_ard_3-0-0_095085_2017-05-27_final
2017-05-29 09:41:46	ga_ls7e_ard_3-0-0_093085_2017-05-29_final
2017-05-31 09:29:25	ga_ls7e_ard_3-0-0_091085_2017-05-30_final
2017-06-10 10:06:33	ga_ls7e_ard_3-0-0_097085_2017-06-10_final
2017-06-28 09:54:14	ga_ls7e_ard_3-0-0_095085_2017-06-28_final
2017-06-30 09:41:53	ga_ls7e_ard_3-0-0_093085_2017-06-30_final
2017-07-02 09:29:31	ga_ls7e_ard_3-0-0_091085_2017-07-01_final
2017-07-04 09:17:10	ga_ls7e_ard_3-0-0_089085_2017-07-03_final
2017-08-28 09:23:18	ga_ls7e_ard_3-1-0_090085_2017-08-27_final
2017-08-31 09:54:12	ga_ls7e_ard_3-0-0_095085_2017-08-31_final
2017-09-06 09:17:07	ga_ls7e_ard_3-0-0_089085_2017-09-05_final
2017-09-07 10:00:23	ga_ls7e_ard_3-0-0_096085_2017-09-07_final
2017-09-25 09:48:00	ga_ls7e_ard_3-0-0_094085_2017-09-25_final
2017-09-27 09:35:38	ga_ls7e_ard_3-0-0_092085_2017-09-27_final
2017-10-15 09:23:19	ga_ls7e_ard_3-1-0_090085_2017-10-14_final
2017-10-20 09:41:52	ga_ls7e_ard_3-0-0_093085_2017-10-20_final
2017-10-22 09:29:31	ga_ls7e_ard_3-0-0_091085_2017-10-21_final
2017-10-23 10:12:46	ga_ls7e_ard_3-0-0_098085_2017-10-23_final
2017-11-07 09:29:30	ga_ls7e_ard_3-0-0_091085_2017-11-06_final
2017-11-08 10:12:45	ga_ls7e_ard_3-0-0_098085_2017-11-08_final
2017-11-30 09:35:33	ga_ls7e_ard_3-0-0_092085_2017-11-30_final
2017-12-03 10:06:26	ga_ls7e_ard_3-0-0_097085_2017-12-03_final
2017-12-07 09:41:40	ga_ls7e_ard_3-0-0_093085_2017-12-07_final
2017-12-09 09:29:18	ga_ls7e_ard_3-0-0_091085_2017-12-08_final
2017-12-10 10:12:33	ga_ls7e_ard_3-0-0_098085_2017-12-10_final
2017-12-11 09:16:55	ga_ls7e_ard_3-0-0_089085_2017-12-10_final
2017-12-12 10:00:10	ga_ls7e_ard_3-0-0_096085_2017-12-12_final
2018-05-27 09:20:44	ga_ls7e_ard_3-1-0_090085_2018-05-26_final
2018-05-28 10:03:58	ga_ls7e_ard_3-0-0_097085_2018-05-28_final
2018-05-30 09:51:35	ga_ls7e_ard_3-0-0_095085_2018-05-30_final
2018-06-01 09:39:11	ga_ls7e_ard_3-0-0_093085_2018-06-01_final
2018-06-15 09:51:18	ga_ls7e_ard_3-0-0_095085_2018-06-15_final
2018-06-17 09:38:54	ga_ls7e_ard_3-0-0_093085_2018-06-17_final
2018-06-19 09:26:30	ga_ls7e_ard_3-0-0_091085_2018-06-18_final
2018-06-20 10:09:45	ga_ls7e_ard_3-0-0_098085_2018-06-20_final
2019-06-11 09:35:11	ga_ls7e_ard_3-0-0_094085_2019-06-11_final
2019-06-11 11:13:40	ga_ls7e_ard_3-0-0_110084_2019-06-11_final
2019-06-13 09:22:45	ga_ls7e_ard_3-0-0_092085_2019-06-12_final
2019-08-14 09:32:41	ga_ls7e_ard_3-0-0_094085_2019-08-14_final
2019-08-14 11:11:09	ga_ls7e_ard_3-0-0_110084_2019-08-14_final
2019-08-16 09:19:50	ga_ls7e_ard_3-0-0_092084_2019-08-15_final
2019-08-16 10:58:43	ga_ls7e_ard_3-0-0_108084_2019-08-16_final
2019-09-08 09:25:26	ga_ls7e_ard_3-1-0_093085_2019-09-07_final
2019-09-08 11:03:54	ga_ls7e_ard_3-1-0_109084_2019-09-08_final
2019-09-10 09:12:59	ga_ls7e_ard_3-1-0_091085_2019-09-09_final
2019-10-31 09:41:42	ga_ls7e_ard_3-1-0_096085_2019-10-31_final
2019-11-02 11:07:43	ga_ls7e_ard_3-1-0_110084_2019-11-02_final
2019-11-04 09:16:48	ga_ls7e_ard_3-1-0_092085_2019-11-03_final
2021-06-09 08:45:08	ga_ls7e_ard_3-2-0_093085_2021-06-08_final
2021-08-10 10:30:42	ga_ls7e_ard_3-2-0_111084_2021-08-10_final
2021-08-12 08:39:17	ga_ls7e_ard_3-2-0_093084_2021-08-11_final
2021-08-12 08:39:41	ga_ls7e_ard_3-2-0_093085_2021-08-11_final
2021-08-12 10:18:09	ga_ls7e_ard_3-2-0_109084_2021-08-12_final
2021-08-13 09:22:27	ga_ls7e_ard_3-2-0_100084_2021-08-12_final
2021-08-14 08:26:44	ga_ls7e_ard_3-2-0_091084_2021-08-13_final
2021-08-14 08:27:08	ga_ls7e_ard_3-2-0_091085_2021-08-13_final
2021-08-14 10:05:37	ga_ls7e_ard_3-2-0_107084_2021-08-14_final
2021-08-15 09:09:54	ga_ls7e_ard_3-2-0_098084_2021-08-14_final
2021-08-15 09:10:18	ga_ls7e_ard_3-2-0_098085_2021-08-14_final
2021-08-16 08:14:12	ga_ls7e_ard_3-2-0_089084_2021-08-15_final
2021-08-16 08:14:36	ga_ls7e_ard_3-2-0_089085_2021-08-15_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