Search ga_ls8c_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
2014-03-17 09:38:43	ga_ls8c_ard_3-0-0_094067_2014-03-17_final
2014-04-09 11:24:12	ga_ls8c_ard_3-0-0_111069_2014-04-09_final
2014-05-24 10:52:17	ga_ls8c_ard_3-0-0_106068_2014-05-24_final
2014-06-16 09:28:11	ga_ls8c_ard_3-0-0_091089_2014-06-15_final
2014-06-21 09:37:57	ga_ls8c_ard_3-0-0_094067_2014-06-21_final
2014-10-03 10:33:26	ga_ls8c_ard_3-0-0_102081_2014-10-03_final
2014-10-25 09:50:48	ga_ls8c_ard_3-0-0_096067_2014-10-25_final
2015-01-26 09:22:50	ga_ls8c_ard_3-0-0_091075_2015-01-25_final
2015-03-23 10:08:41	ga_ls8c_ard_3-0-0_099067_2015-03-23_final
2015-04-07 09:28:02	ga_ls8c_ard_3-0-0_092074_2015-04-06_final
2015-04-23 09:28:00	ga_ls8c_ard_3-0-0_092074_2015-04-22_final
2015-06-26 09:33:10	ga_ls8c_ard_3-0-0_092087_2015-06-26_final
2015-07-10 09:45:19	ga_ls8c_ard_3-0-0_094086_2015-07-10_final
2015-07-26 11:16:43	ga_ls8c_ard_3-0-0_110067_2015-07-26_final
2015-08-11 09:39:54	ga_ls8c_ard_3-0-0_094072_2015-08-11_final
2015-11-02 10:13:38	ga_ls8c_ard_3-0-0_099078_2015-11-02_final
2015-11-02 11:52:55	ga_ls8c_ard_3-0-0_115079_2015-11-02_final
2016-01-05 10:10:24	ga_ls8c_ard_3-0-0_099070_2016-01-05_final
2016-01-11 09:34:31	ga_ls8c_ard_3-0-0_093073_2016-01-11_final
2016-02-28 11:11:37	ga_ls8c_ard_3-0-0_109069_2016-02-28_final
2016-03-08 09:28:56	ga_ls8c_ard_3-0-0_092075_2016-03-07_final
2016-04-16 09:34:01	ga_ls8c_ard_3-0-0_093073_2016-04-16_final
2016-05-28 10:12:46	ga_ls8c_ard_3-0-0_099077_2016-05-28_final
2016-07-10 11:31:23	ga_ls8c_ard_3-0-0_112072_2016-07-10_final
2016-07-12 09:38:10	ga_ls8c_ard_3-0-0_094067_2016-07-12_final
2016-08-11 09:50:37	ga_ls8c_ard_3-0-0_096067_2016-08-11_final
2016-10-16 09:40:33	ga_ls8c_ard_3-0-0_094072_2016-10-16_final
2016-10-21 09:57:55	ga_ls8c_ard_3-0-0_097069_2016-10-21_final
2017-01-15 10:59:56	ga_ls8c_ard_3-0-0_107070_2017-01-15_final
2017-03-30 09:56:45	ga_ls8c_ard_3-0-0_097068_2017-03-30_final
2017-04-17 09:43:51	ga_ls8c_ard_3-0-0_095067_2017-04-17_final
2017-04-21 09:22:16	ga_ls8c_ard_3-0-0_091075_2017-04-20_final
2017-07-04 09:56:33	ga_ls8c_ard_3-0-0_097067_2017-07-04_final
2017-07-15 09:40:03	ga_ls8c_ard_3-0-0_094072_2017-07-15_final
2017-07-24 11:14:25	ga_ls8c_ard_3-0-0_109076_2017-07-24_final
2017-09-26 09:34:15	ga_ls8c_ard_3-0-0_093072_2017-09-26_final
2017-10-03 09:38:28	ga_ls8c_ard_3-0-0_094067_2017-10-03_final
2017-11-01 10:47:18	ga_ls8c_ard_3-0-0_105069_2017-11-01_final
2017-11-17 10:46:51	ga_ls8c_ard_3-0-0_105068_2017-11-17_final
2017-12-08 09:28:00	ga_ls8c_ard_3-0-0_092072_2017-12-07_final
2017-12-24 09:28:03	ga_ls8c_ard_3-0-0_092072_2017-12-23_final
2018-04-22 09:33:17	ga_ls8c_ard_3-0-0_093072_2018-04-22_final
2018-05-01 11:07:07	ga_ls8c_ard_3-0-0_108075_2018-05-01_final
2018-06-08 10:26:52	ga_ls8c_ard_3-0-0_102068_2018-06-08_final
2018-06-12 10:06:11	ga_ls8c_ard_3-0-0_098078_2018-06-12_final
2018-06-14 11:29:33	ga_ls8c_ard_3-0-0_112070_2018-06-14_final
2018-08-25 10:45:31	ga_ls8c_ard_3-0-0_104082_2018-08-25_final
2018-09-04 09:37:48	ga_ls8c_ard_3-0-0_094067_2018-09-04_final
2018-09-09 09:56:46	ga_ls8c_ard_3-0-0_097068_2018-09-09_final
2018-09-16 10:08:58	ga_ls8c_ard_3-0-0_098083_2018-09-16_final
2019-01-06 10:03:37	ga_ls8c_ard_3-0-0_098069_2019-01-06_final
2019-03-19 10:52:46	ga_ls8c_ard_3-1-0_106069_2019-03-19_final
2019-04-27 09:22:16	ga_ls8c_ard_3-0-0_091075_2019-04-26_final
2019-05-11 09:38:45	ga_ls8c_ard_3-0-0_093085_2019-05-11_final
2019-06-24 10:03:25	ga_ls8c_ard_3-1-0_097084_2019-06-24_final
2019-07-09 10:52:43	ga_ls8c_ard_3-1-0_106068_2019-07-09_final
2019-07-30 09:34:05	ga_ls8c_ard_3-1-0_093072_2019-07-30_final
2019-10-11 09:28:15	ga_ls8c_ard_3-1-0_092072_2019-10-10_final
2020-03-24 11:23:52	ga_ls8c_ard_3-1-0_111069_2020-03-24_final
2020-04-13 09:26:53	ga_ls8c_ard_3-1-0_091086_2020-04-12_final
2020-04-30 10:09:12	ga_ls8c_ard_3-1-0_098084_2020-04-30_final
2020-05-22 09:32:54	ga_ls8c_ard_3-1-0_092086_2020-05-22_final
2020-07-02 09:27:27	ga_ls8c_ard_3-1-0_091087_2020-07-01_final
2020-07-09 09:27:42	ga_ls8c_ard_3-1-0_092072_2020-07-08_final
2020-07-23 11:17:49	ga_ls8c_ard_3-1-0_110069_2020-07-23_final
2020-09-16 09:44:40	ga_ls8c_ard_3-1-0_095067_2020-09-16_final
2020-12-12 09:50:56	ga_ls8c_ard_3-1-0_096067_2020-12-12_final
2021-02-02 11:06:28	ga_ls8c_ard_3-2-0_108071_2021-02-02_final
2021-06-01 09:34:11	ga_ls8c_ard_3-2-0_093073_2021-06-01_final
2021-07-17 11:24:49	ga_ls8c_ard_3-2-0_111071_2021-07-17_final
2021-07-31 09:57:13	ga_ls8c_ard_3-2-0_097068_2021-07-31_final
2021-11-18 10:14:15	ga_ls8c_ard_3-2-0_099079_2021-11-18_final
2021-12-03 09:28:14	ga_ls8c_ard_3-2-0_092072_2021-12-02_final
2022-01-28 10:22:14	ga_ls8c_ard_3-2-1_100084_2022-01-28_final
2022-01-31 10:49:32	ga_ls8c_ard_3-2-1_105075_2022-01-31_final
2022-03-02 12:37:28	ga_ls8c_ard_3-2-1_123067_2022-03-02_final
2022-05-14 10:55:30	ga_ls8c_ard_3-2-1_106075_2022-05-14_final
2022-05-14 10:55:54	ga_ls8c_ard_3-2-1_106076_2022-05-14_final
2022-07-03 09:07:47	ga_ls8c_ard_3-2-1_088083_2022-07-02_final
2022-08-08 10:20:11	ga_ls8c_ard_3-2-1_100078_2022-08-08_final
2022-09-28 10:50:27	ga_ls8c_ard_3-2-1_105076_2022-09-28_final
2023-01-07 09:29:28	ga_ls8c_ard_3-2-1_092075_2023-01-06_final
2023-02-15 11:12:00	ga_ls8c_ard_3-2-1_109069_2023-02-15_final
2023-03-30 10:55:23	ga_ls8c_ard_3-2-1_106075_2023-03-30_final
2023-04-15 09:16:39	ga_ls8c_ard_3-2-1_090076_2023-04-14_final
2023-05-01 09:16:10	ga_ls8c_ard_3-2-1_090075_2023-04-30_final
2023-05-15 09:27:56	ga_ls8c_ard_3-2-1_092074_2023-05-14_final
2023-05-29 09:39:32	ga_ls8c_ard_3-2-1_094072_2023-05-29_final
2023-05-31 09:32:46	ga_ls8c_ard_3-2-1_092086_2023-05-31_final
2023-08-01 09:40:04	ga_ls8c_ard_3-2-1_094072_2023-08-01_final
2023-08-17 09:39:46	ga_ls8c_ard_3-2-1_094071_2023-08-17_final
2023-09-07 11:37:37	ga_ls8c_ard_3-2-1_113072_2023-09-07_final
2023-11-17 10:07:09	ga_ls8c_ard_3-2-1_098077_2023-11-17_final
2023-12-10 11:52:56	ga_ls8c_ard_3-2-1_115079_2023-12-10_final
2023-12-16 11:14:19	ga_ls8c_ard_3-2-1_109075_2023-12-16_final
2024-01-18 10:17:25	ga_ls8c_ard_3-2-1_100072_2024-01-18_final
2024-02-12 10:11:37	ga_ls8c_ard_3-2-1_099073_2024-02-12_final
2024-03-31 10:09:08	ga_ls8c_ard_3-2-1_099068_2024-03-31_final
2024-04-04 11:23:18	ga_ls8c_ard_3-2-1_111068_2024-04-04_final
2024-04-06 09:34:03	ga_ls8c_ard_3-2-1_093073_2024-04-06_final

Return to ga_ls8c_ard_3 whole collection overview

ga_ls8c_ard_3: Geoscience Australia Landsat 8 Operational Land Imager and Thermal Infra-Red Scanner Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years