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
2014-04-28 09:29:52	ga_ls7e_ard_3-1-0_092084_2014-04-27_final
2014-07-17 09:30:10	ga_ls7e_ard_3-1-0_092084_2014-07-17_final
2015-01-25 09:31:15	ga_ls7e_ard_3-0-0_092084_2015-01-25_final
2015-04-15 09:31:52	ga_ls7e_ard_3-0-0_092084_2015-04-15_final
2015-07-04 09:32:19	ga_ls7e_ard_3-0-0_092084_2015-07-04_final
2015-09-06 09:32:31	ga_ls7e_ard_3-0-0_092084_2015-09-06_final
2015-11-25 09:33:30	ga_ls7e_ard_3-0-0_092084_2015-11-25_final
2015-12-27 09:33:58	ga_ls7e_ard_3-0-0_092084_2015-12-27_final
2016-01-28 09:34:25	ga_ls7e_ard_3-0-0_092084_2016-01-28_final
2016-03-16 09:34:45	ga_ls7e_ard_3-0-0_092084_2016-03-16_final
2016-04-01 09:34:49	ga_ls7e_ard_3-0-0_092084_2016-04-01_final
2016-08-23 09:35:18	ga_ls7e_ard_3-0-0_092084_2016-08-23_final
2016-09-24 09:35:23	ga_ls7e_ard_3-0-0_092084_2016-09-24_final
2016-11-11 09:35:14	ga_ls7e_ard_3-0-0_092084_2016-11-11_final
2016-11-27 09:35:10	ga_ls7e_ard_3-0-0_092084_2016-11-27_final
2016-12-13 09:35:06	ga_ls7e_ard_3-0-0_092084_2016-12-13_final
2017-01-14 09:34:49	ga_ls7e_ard_3-0-0_092084_2017-01-14_final
2017-01-30 09:34:40	ga_ls7e_ard_3-0-0_092084_2017-01-30_final
2017-02-15 09:34:36	ga_ls7e_ard_3-0-0_092084_2017-02-15_final
2017-03-03 09:34:45	ga_ls7e_ard_3-0-0_092084_2017-03-03_final
2017-03-19 09:34:51	ga_ls7e_ard_3-0-0_092084_2017-03-19_final
2017-04-04 09:34:54	ga_ls7e_ard_3-0-0_092084_2017-04-04_final
2017-04-20 09:35:02	ga_ls7e_ard_3-0-0_092084_2017-04-20_final
2017-05-06 09:35:07	ga_ls7e_ard_3-0-0_092084_2017-05-06_final
2017-05-22 09:35:09	ga_ls7e_ard_3-0-0_092084_2017-05-22_final
2017-06-07 09:35:14	ga_ls7e_ard_3-0-0_092084_2017-06-07_final
2017-06-23 09:35:17	ga_ls7e_ard_3-0-0_092084_2017-06-23_final
2017-07-09 09:35:19	ga_ls7e_ard_3-0-0_092084_2017-07-09_final
2017-07-25 09:35:18	ga_ls7e_ard_3-0-0_092084_2017-07-25_final
2017-08-10 09:35:16	ga_ls7e_ard_3-0-0_092084_2017-08-10_final
2017-08-26 09:35:16	ga_ls7e_ard_3-0-0_092084_2017-08-26_final
2017-09-11 09:35:15	ga_ls7e_ard_3-0-0_092084_2017-09-11_final
2017-09-27 09:35:14	ga_ls7e_ard_3-0-0_092084_2017-09-27_final
2017-10-13 09:35:17	ga_ls7e_ard_3-0-0_092084_2017-10-13_final
2017-10-29 09:35:17	ga_ls7e_ard_3-0-0_092084_2017-10-29_final
2017-11-14 09:35:15	ga_ls7e_ard_3-0-0_092084_2017-11-14_final
2017-11-30 09:35:09	ga_ls7e_ard_3-0-0_092084_2017-11-30_final
2017-12-16 09:35:00	ga_ls7e_ard_3-0-0_092084_2017-12-16_final
2018-01-17 09:34:35	ga_ls7e_ard_3-0-0_092084_2018-01-17_final
2018-02-02 09:34:20	ga_ls7e_ard_3-0-0_092084_2018-02-02_final
2018-02-18 09:34:08	ga_ls7e_ard_3-0-0_092084_2018-02-18_final
2018-03-06 09:33:58	ga_ls7e_ard_3-0-0_092084_2018-03-06_final
2018-03-22 09:33:46	ga_ls7e_ard_3-0-0_092084_2018-03-22_final
2018-04-07 09:33:32	ga_ls7e_ard_3-0-0_092084_2018-04-07_final
2018-04-23 09:33:16	ga_ls7e_ard_3-0-0_092084_2018-04-23_final
2018-05-09 09:32:57	ga_ls7e_ard_3-0-0_092084_2018-05-09_final
2018-05-25 09:32:43	ga_ls7e_ard_3-0-0_092084_2018-05-25_final
2018-06-10 09:32:27	ga_ls7e_ard_3-0-0_092084_2018-06-10_final
2018-06-26 09:32:09	ga_ls7e_ard_3-0-0_092084_2018-06-26_final
2018-07-12 09:31:50	ga_ls7e_ard_3-0-0_092084_2018-07-12_final
2018-08-29 09:30:57	ga_ls7e_ard_3-0-0_092084_2018-08-29_final
2018-09-14 09:30:36	ga_ls7e_ard_3-0-0_092084_2018-09-14_final
2018-09-30 09:30:14	ga_ls7e_ard_3-0-0_092084_2018-09-30_final
2018-11-01 09:29:29	ga_ls7e_ard_3-0-0_092084_2018-10-31_final
2018-11-17 09:29:07	ga_ls7e_ard_3-0-0_092084_2018-11-16_final
2018-12-03 09:28:43	ga_ls7e_ard_3-0-0_092084_2018-12-02_final
2018-12-19 09:28:16	ga_ls7e_ard_3-0-0_092084_2018-12-18_final
2019-01-20 09:27:17	ga_ls7e_ard_3-0-0_092084_2019-01-19_final
2019-02-05 09:26:47	ga_ls7e_ard_3-0-0_092084_2019-02-04_final
2019-02-21 09:26:18	ga_ls7e_ard_3-1-0_092084_2019-02-20_final
2019-04-10 09:24:43	ga_ls7e_ard_3-0-0_092084_2019-04-09_final
2019-05-12 09:23:31	ga_ls7e_ard_3-0-0_092084_2019-05-11_final
2019-09-01 09:19:09	ga_ls7e_ard_3-1-0_092084_2019-08-31_final
2019-09-17 09:18:27	ga_ls7e_ard_3-1-0_092084_2019-09-16_final
2019-10-03 09:17:46	ga_ls7e_ard_3-1-0_092084_2019-10-02_final
2019-10-19 09:17:06	ga_ls7e_ard_3-1-0_092084_2019-10-18_final
2019-11-04 09:16:24	ga_ls7e_ard_3-1-0_092084_2019-11-03_final
2019-12-06 09:14:53	ga_ls7e_ard_3-1-0_092084_2019-12-05_final
2020-01-07 09:13:14	ga_ls7e_ard_3-1-0_092084_2020-01-06_final
2020-01-23 09:12:27	ga_ls7e_ard_3-1-0_092084_2020-01-22_final
2020-03-11 09:09:57	ga_ls7e_ard_3-1-0_092084_2020-03-10_final
2020-08-02 09:01:25	ga_ls7e_ard_3-1-0_092084_2020-08-01_final
2020-09-03 08:59:22	ga_ls7e_ard_3-1-0_092084_2020-09-02_final
2020-09-19 08:58:18	ga_ls7e_ard_3-1-0_092084_2020-09-18_final
2020-10-05 08:57:17	ga_ls7e_ard_3-1-0_092084_2020-10-04_final
2020-10-21 08:56:15	ga_ls7e_ard_3-1-0_092084_2020-10-20_final
2020-11-22 08:54:04	ga_ls7e_ard_3-1-0_092084_2020-11-21_final
2020-12-08 08:52:54	ga_ls7e_ard_3-1-0_092084_2020-12-07_final
2021-02-10 08:48:16	ga_ls7e_ard_3-2-0_092084_2021-02-09_final
2021-02-26 08:47:03	ga_ls7e_ard_3-2-0_092084_2021-02-25_final
2021-03-14 08:45:48	ga_ls7e_ard_3-2-0_092084_2021-03-13_final
2021-03-30 08:44:31	ga_ls7e_ard_3-2-0_092084_2021-03-29_final
2021-04-15 08:43:11	ga_ls7e_ard_3-2-0_092084_2021-04-14_final
2021-05-01 08:41:50	ga_ls7e_ard_3-2-0_092084_2021-04-30_final
2021-05-17 08:40:30	ga_ls7e_ard_3-2-0_092084_2021-05-16_final
2021-06-02 08:39:07	ga_ls7e_ard_3-2-0_092084_2021-06-01_final
2021-06-18 08:37:49	ga_ls7e_ard_3-2-0_092084_2021-06-17_final
2021-07-04 08:36:29	ga_ls7e_ard_3-2-0_092084_2021-07-03_final
2021-08-05 08:33:43	ga_ls7e_ard_3-2-0_092084_2021-08-04_final
2021-08-21 08:32:18	ga_ls7e_ard_3-2-0_092084_2021-08-20_final
2021-09-06 08:30:56	ga_ls7e_ard_3-2-0_092084_2021-09-05_final
2021-09-22 08:29:30	ga_ls7e_ard_3-2-0_092084_2021-09-21_final
2021-10-08 08:28:05	ga_ls7e_ard_3-2-0_092084_2021-10-07_final
2021-10-24 08:26:39	ga_ls7e_ard_3-2-0_092084_2021-10-23_final
2021-11-09 08:25:09	ga_ls7e_ard_3-2-0_092084_2021-11-08_final
2021-12-11 08:22:06	ga_ls7e_ard_3-2-1_092084_2021-12-10_final
2021-12-27 08:20:32	ga_ls7e_ard_3-2-1_092084_2021-12-26_final
2022-01-12 08:18:58	ga_ls7e_ard_3-2-1_092084_2022-01-11_final
2022-01-28 08:17:26	ga_ls7e_ard_3-2-1_092084_2022-01-27_final
2022-03-17 08:12:39	ga_ls7e_ard_3-2-1_092084_2022-03-16_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