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
2013-08-01 09:15:09	ga_ls7e_ard_3-0-0_090083_2013-07-31_final
2015-04-01 09:18:57	ga_ls7e_ard_3-0-0_090083_2015-03-31_final
2015-09-24 09:19:51	ga_ls7e_ard_3-0-0_090083_2015-09-23_final
2015-10-10 09:19:59	ga_ls7e_ard_3-0-0_090083_2015-10-09_final
2015-10-26 09:20:16	ga_ls7e_ard_3-0-0_090083_2015-10-25_final
2015-11-27 09:20:46	ga_ls7e_ard_3-0-0_090083_2015-11-26_final
2015-12-29 09:21:14	ga_ls7e_ard_3-0-0_090083_2015-12-28_final
2016-01-14 09:21:30	ga_ls7e_ard_3-0-0_090083_2016-01-13_final
2016-01-30 09:21:41	ga_ls7e_ard_3-0-0_090083_2016-01-29_final
2016-02-15 09:21:46	ga_ls7e_ard_3-0-0_090083_2016-02-14_final
2016-03-02 09:21:51	ga_ls7e_ard_3-0-0_090083_2016-03-01_final
2016-04-03 09:22:04	ga_ls7e_ard_3-0-0_090083_2016-04-02_final
2016-05-05 09:22:17	ga_ls7e_ard_3-0-0_090083_2016-05-04_final
2016-06-06 09:22:25	ga_ls7e_ard_3-0-0_090083_2016-06-05_final
2016-06-22 09:22:27	ga_ls7e_ard_3-0-0_090083_2016-06-21_final
2016-07-24 09:22:29	ga_ls7e_ard_3-0-0_090083_2016-07-23_final
2016-08-09 09:22:31	ga_ls7e_ard_3-0-0_090083_2016-08-08_final
2016-08-25 09:22:33	ga_ls7e_ard_3-0-0_090083_2016-08-24_final
2016-09-10 09:22:36	ga_ls7e_ard_3-0-0_090083_2016-09-09_final
2016-09-26 09:22:38	ga_ls7e_ard_3-0-0_090083_2016-09-25_final
2016-10-12 09:22:39	ga_ls7e_ard_3-0-0_090083_2016-10-11_final
2016-10-28 09:22:35	ga_ls7e_ard_3-0-0_090083_2016-10-27_final
2016-11-13 09:22:27	ga_ls7e_ard_3-0-0_090083_2016-11-12_final
2016-11-29 09:22:24	ga_ls7e_ard_3-0-0_090083_2016-11-28_final
2016-12-31 09:22:13	ga_ls7e_ard_3-0-0_090083_2016-12-30_final
2017-01-16 09:22:02	ga_ls7e_ard_3-0-0_090083_2017-01-15_final
2017-02-17 09:21:52	ga_ls7e_ard_3-0-0_090083_2017-02-16_final
2017-04-06 09:22:09	ga_ls7e_ard_3-0-0_090083_2017-04-05_final
2017-04-22 09:22:17	ga_ls7e_ard_3-0-0_090083_2017-04-21_final
2017-05-08 09:22:22	ga_ls7e_ard_3-0-0_090083_2017-05-07_final
2017-05-24 09:22:24	ga_ls7e_ard_3-0-0_090083_2017-05-23_final
2017-06-09 09:22:29	ga_ls7e_ard_3-0-0_090083_2017-06-08_final
2017-06-25 09:22:32	ga_ls7e_ard_3-0-0_090083_2017-06-24_final
2017-07-11 09:22:33	ga_ls7e_ard_3-0-0_090083_2017-07-10_final
2017-07-27 09:22:32	ga_ls7e_ard_3-0-0_090083_2017-07-26_final
2017-08-12 09:22:30	ga_ls7e_ard_3-0-0_090083_2017-08-11_final
2017-08-28 09:22:30	ga_ls7e_ard_3-0-0_090083_2017-08-27_final
2017-09-13 09:22:29	ga_ls7e_ard_3-0-0_090083_2017-09-12_final
2017-09-29 09:22:29	ga_ls7e_ard_3-0-0_090083_2017-09-28_final
2017-10-15 09:22:31	ga_ls7e_ard_3-0-0_090083_2017-10-14_final
2017-10-31 09:22:32	ga_ls7e_ard_3-0-0_090083_2017-10-30_final
2017-12-18 09:22:14	ga_ls7e_ard_3-0-0_090083_2017-12-17_final
2018-01-03 09:22:02	ga_ls7e_ard_3-0-0_090083_2018-01-02_final
2018-01-19 09:21:48	ga_ls7e_ard_3-0-0_090083_2018-01-18_final
2018-02-04 09:21:32	ga_ls7e_ard_3-0-0_090083_2018-02-03_final
2018-03-08 09:21:11	ga_ls7e_ard_3-0-0_090083_2018-03-07_final
2018-03-24 09:20:59	ga_ls7e_ard_3-0-0_090083_2018-03-23_final
2018-04-09 09:20:44	ga_ls7e_ard_3-0-0_090083_2018-04-08_final
2018-04-25 09:20:28	ga_ls7e_ard_3-0-0_090083_2018-04-24_final
2018-05-11 09:20:10	ga_ls7e_ard_3-0-0_090083_2018-05-10_final
2018-05-27 09:19:56	ga_ls7e_ard_3-0-0_090083_2018-05-26_final
2018-06-28 09:19:21	ga_ls7e_ard_3-0-0_090083_2018-06-27_final
2018-07-14 09:19:02	ga_ls7e_ard_3-0-0_090083_2018-07-13_final
2018-07-30 09:18:46	ga_ls7e_ard_3-0-0_090083_2018-07-29_final
2018-08-15 09:18:28	ga_ls7e_ard_3-0-0_090083_2018-08-14_final
2018-08-31 09:18:09	ga_ls7e_ard_3-0-0_090083_2018-08-30_final
2018-09-16 09:17:48	ga_ls7e_ard_3-0-0_090083_2018-09-15_final
2018-10-02 09:17:25	ga_ls7e_ard_3-0-0_090083_2018-10-01_final
2018-10-18 09:17:01	ga_ls7e_ard_3-0-0_090083_2018-10-17_final
2018-11-03 09:16:41	ga_ls7e_ard_3-0-0_090083_2018-11-02_final
2018-11-19 09:16:18	ga_ls7e_ard_3-0-0_090083_2018-11-18_final
2018-12-21 09:15:27	ga_ls7e_ard_3-0-0_090083_2018-12-20_final
2019-01-22 09:14:28	ga_ls7e_ard_3-0-0_090083_2019-01-21_final
2019-02-07 09:13:58	ga_ls7e_ard_3-0-0_090083_2019-02-06_final
2019-02-23 09:13:29	ga_ls7e_ard_3-1-0_090083_2019-02-22_final
2019-03-11 09:12:59	ga_ls7e_ard_3-1-0_090083_2019-03-10_final
2019-03-27 09:12:27	ga_ls7e_ard_3-1-0_090083_2019-03-26_final
2019-04-12 09:11:53	ga_ls7e_ard_3-0-0_090083_2019-04-11_final
2019-04-28 09:11:18	ga_ls7e_ard_3-0-0_090083_2019-04-27_final
2019-05-14 09:10:41	ga_ls7e_ard_3-0-0_090083_2019-05-13_final
2019-05-30 09:10:05	ga_ls7e_ard_3-0-0_090083_2019-05-29_final
2019-06-15 09:09:31	ga_ls7e_ard_3-0-0_090083_2019-06-14_final
2019-07-01 09:08:55	ga_ls7e_ard_3-0-0_090083_2019-06-30_final
2019-07-17 09:08:18	ga_ls7e_ard_3-0-0_090083_2019-07-16_final
2019-08-02 09:07:39	ga_ls7e_ard_3-0-0_090083_2019-08-01_final
2019-08-18 09:06:59	ga_ls7e_ard_3-0-0_090083_2019-08-17_final
2019-09-03 09:06:18	ga_ls7e_ard_3-1-0_090083_2019-09-02_final
2019-09-19 09:05:36	ga_ls7e_ard_3-1-0_090083_2019-09-18_final
2019-10-21 09:04:15	ga_ls7e_ard_3-1-0_090083_2019-10-20_final
2019-11-06 09:03:33	ga_ls7e_ard_3-1-0_090083_2019-11-05_final
2019-11-22 09:02:48	ga_ls7e_ard_3-1-0_090083_2019-11-21_final
2019-12-08 09:02:01	ga_ls7e_ard_3-1-0_090083_2019-12-07_final
2019-12-24 09:01:13	ga_ls7e_ard_3-1-0_090083_2019-12-23_final
2020-01-09 09:00:22	ga_ls7e_ard_3-1-0_090083_2020-01-08_final
2020-01-25 08:59:35	ga_ls7e_ard_3-1-0_090083_2020-01-24_final
2020-02-26 08:57:57	ga_ls7e_ard_3-1-0_090083_2020-02-25_final
2020-03-13 08:57:05	ga_ls7e_ard_3-1-0_090083_2020-03-12_final
2020-03-29 08:56:11	ga_ls7e_ard_3-1-0_090083_2020-03-28_final
2020-04-14 08:55:16	ga_ls7e_ard_3-1-0_090083_2020-04-13_final
2020-05-16 08:53:21	ga_ls7e_ard_3-1-0_090083_2020-05-15_final
2020-06-01 08:52:23	ga_ls7e_ard_3-1-0_090083_2020-05-31_final
2020-06-17 08:51:27	ga_ls7e_ard_3-1-0_090083_2020-06-16_final
2020-07-03 08:50:30	ga_ls7e_ard_3-1-0_090083_2020-07-02_final
2020-10-23 08:43:21	ga_ls7e_ard_3-1-0_090083_2020-10-22_final
2020-12-10 08:39:59	ga_ls7e_ard_3-1-0_090083_2020-12-09_final
2021-10-26 08:13:43	ga_ls7e_ard_3-2-0_090083_2021-10-25_final
2022-01-14 08:06:01	ga_ls7e_ard_3-2-1_090083_2022-01-13_final
2022-01-30 08:04:28	ga_ls7e_ard_3-2-1_090083_2022-01-29_final
2022-02-15 08:02:49	ga_ls7e_ard_3-2-1_090083_2022-02-14_final
2022-03-03 08:01:18	ga_ls7e_ard_3-2-1_090083_2022-03-02_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