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
2014-02-13 11:17:58	ga_ls8c_ard_3-0-0_110067_2014-02-13_final
2014-06-27 09:06:27	ga_ls8c_ard_3-1-0_088081_2014-06-26_final
2015-01-31 09:40:34	ga_ls8c_ard_3-0-0_094073_2015-01-31_final
2015-02-23 09:52:12	ga_ls8c_ard_3-0-0_095087_2015-02-23_final
2015-04-21 11:18:28	ga_ls8c_ard_3-0-0_110072_2015-04-21_final
2015-04-28 09:46:05	ga_ls8c_ard_3-0-0_095073_2015-04-28_final
2015-05-14 11:22:42	ga_ls8c_ard_3-0-0_111068_2015-05-14_final
2015-05-21 11:31:19	ga_ls8c_ard_3-0-0_112074_2015-05-21_final
2015-05-23 09:37:17	ga_ls8c_ard_3-0-0_094067_2015-05-23_final
2015-09-03 09:50:12	ga_ls8c_ard_3-0-0_095082_2015-09-03_final
2016-01-18 09:40:18	ga_ls8c_ard_3-0-0_094072_2016-01-18_final
2016-02-25 09:06:14	ga_ls8c_ard_3-0-0_088080_2016-02-24_final
2016-06-10 11:18:00	ga_ls8c_ard_3-0-0_110070_2016-06-10_final
2016-07-19 11:24:28	ga_ls8c_ard_3-0-0_111070_2016-07-19_final
2016-07-21 11:14:30	ga_ls8c_ard_3-0-0_109076_2016-07-21_final
2016-09-14 09:40:51	ga_ls8c_ard_3-0-0_094073_2016-09-14_final
2016-10-23 11:30:25	ga_ls8c_ard_3-0-0_111084_2016-10-23_final
2017-02-11 09:07:05	ga_ls8c_ard_3-0-0_088082_2017-02-10_final
2017-08-09 11:16:32	ga_ls8c_ard_3-0-0_109081_2017-08-09_final
2017-10-08 11:41:07	ga_ls8c_ard_3-0-0_113080_2017-10-08_final
2017-12-13 11:23:51	ga_ls8c_ard_3-0-0_111068_2017-12-13_final
2017-12-29 09:46:10	ga_ls8c_ard_3-0-0_095071_2017-12-29_final
2017-12-31 11:17:52	ga_ls8c_ard_3-0-0_109084_2017-12-31_final
2018-02-02 11:58:27	ga_ls8c_ard_3-0-0_116078_2018-02-02_final
2018-02-08 09:40:28	ga_ls8c_ard_3-0-0_094073_2018-02-08_final
2018-02-08 09:46:03	ga_ls8c_ard_3-0-0_094087_2018-02-08_final
2018-03-03 11:23:47	ga_ls8c_ard_3-0-0_111069_2018-03-03_final
2018-04-20 11:22:57	ga_ls8c_ard_3-0-0_111068_2018-04-20_final
2018-05-21 09:05:16	ga_ls8c_ard_3-0-0_088080_2018-05-20_final
2018-06-30 11:31:19	ga_ls8c_ard_3-0-0_112074_2018-06-30_final
2018-09-20 11:19:09	ga_ls8c_ard_3-0-0_110073_2018-09-20_final
2019-09-14 11:26:21	ga_ls8c_ard_3-1-0_111074_2019-09-14_final
2019-12-28 11:20:33	ga_ls8c_ard_3-1-0_110075_2019-12-28_final
2020-04-27 11:14:25	ga_ls8c_ard_3-1-0_109077_2020-04-27_final
2020-04-30 11:46:54	ga_ls8c_ard_3-1-0_114081_2020-04-30_final
2020-05-29 11:14:47	ga_ls8c_ard_3-1-0_109078_2020-05-29_final
2020-07-19 11:47:19	ga_ls8c_ard_3-1-0_114081_2020-07-19_final
2020-07-30 11:26:02	ga_ls8c_ard_3-1-0_111074_2020-07-30_final
2020-08-06 11:34:37	ga_ls8c_ard_3-1-0_112080_2020-08-06_final
2020-08-24 11:18:24	ga_ls8c_ard_3-1-0_110070_2020-08-24_final
2020-12-05 09:46:21	ga_ls8c_ard_3-1-0_095071_2020-12-05_final
2021-02-19 11:52:27	ga_ls8c_ard_3-2-0_115078_2021-02-19_final
2021-03-06 11:07:29	ga_ls8c_ard_3-2-0_108074_2021-03-06_final
2021-05-13 09:05:54	ga_ls8c_ard_3-2-0_088080_2021-05-12_final
2021-05-16 09:39:37	ga_ls8c_ard_3-2-0_093087_2021-05-16_final
2021-05-18 11:02:11	ga_ls8c_ard_3-2-0_107077_2021-05-18_final
2021-05-22 10:35:30	ga_ls8c_ard_3-2-0_103072_2021-05-22_final
2021-06-04 10:09:30	ga_ls8c_ard_3-2-0_098084_2021-06-04_final
2021-06-05 09:11:53	ga_ls8c_ard_3-2-0_089079_2021-06-04_final
2021-06-17 09:33:53	ga_ls8c_ard_3-2-0_093072_2021-06-17_final
2021-06-28 10:52:17	ga_ls8c_ard_3-2-0_106067_2021-06-28_final
2021-07-23 10:49:47	ga_ls8c_ard_3-2-0_105076_2021-07-23_final
2021-08-19 10:30:38	ga_ls8c_ard_3-2-0_102074_2021-08-19_final
2021-09-10 09:53:15	ga_ls8c_ard_3-2-0_096073_2021-09-10_final
2021-09-20 10:33:57	ga_ls8c_ard_3-2-0_102082_2021-09-20_final
2021-09-25 10:46:55	ga_ls8c_ard_3-2-0_105068_2021-09-25_final
2021-11-15 09:40:10	ga_ls8c_ard_3-2-0_094071_2021-11-15_final
2021-11-17 09:33:23	ga_ls8c_ard_3-2-0_092085_2021-11-17_final
2021-11-29 09:57:44	ga_ls8c_ard_3-2-0_096084_2021-11-29_final
2022-01-18 09:40:50	ga_ls8c_ard_3-2-1_094073_2022-01-18_final
2022-01-29 09:23:01	ga_ls8c_ard_3-2-1_091075_2022-01-28_final
2022-02-05 11:07:17	ga_ls8c_ard_3-2-1_108073_2022-02-05_final
2022-02-10 11:25:48	ga_ls8c_ard_3-2-1_111073_2022-02-10_final
2022-03-12 10:03:31	ga_ls8c_ard_3-2-1_097084_2022-03-12_final
2022-04-27 11:52:10	ga_ls8c_ard_3-2-1_115078_2022-04-27_final
2022-05-30 10:53:09	ga_ls8c_ard_3-2-1_106069_2022-05-30_final
2022-06-08 10:49:06	ga_ls8c_ard_3-2-1_105074_2022-06-08_final
2022-06-09 09:51:53	ga_ls8c_ard_3-2-1_096070_2022-06-09_final
2022-07-14 10:23:18	ga_ls8c_ard_3-2-1_101071_2022-07-14_final
2022-08-05 09:46:52	ga_ls8c_ard_3-2-1_095072_2022-08-05_final
2022-08-18 10:53:19	ga_ls8c_ard_3-2-1_106068_2022-08-18_final
2022-09-03 09:21:13	ga_ls8c_ard_3-2-1_090085_2022-09-02_final
2022-09-15 11:20:32	ga_ls8c_ard_3-2-1_110074_2022-09-15_final
2022-10-08 11:25:04	ga_ls8c_ard_3-2-1_111070_2022-10-08_final
2022-10-14 09:11:01	ga_ls8c_ard_3-2-1_089075_2022-10-13_final
2022-11-25 09:52:56	ga_ls8c_ard_3-2-1_095087_2022-11-25_final
2022-11-27 11:12:17	ga_ls8c_ard_3-2-1_109069_2022-11-27_final
2023-01-07 09:29:28	ga_ls8c_ard_3-2-1_092075_2023-01-06_final
2023-01-18 09:13:11	ga_ls8c_ard_3-2-1_089081_2023-01-17_final
2023-01-21 09:41:21	ga_ls8c_ard_3-2-1_094074_2023-01-21_final
2023-01-31 10:17:41	ga_ls8c_ard_3-2-1_100072_2023-01-31_final
2023-03-03 11:13:46	ga_ls8c_ard_3-2-1_109074_2023-03-03_final
2023-04-04 11:12:15	ga_ls8c_ard_3-2-1_109071_2023-04-04_final
2023-04-11 11:19:04	ga_ls8c_ard_3-2-1_110073_2023-04-11_final
2023-04-29 11:07:26	ga_ls8c_ard_3-2-1_108075_2023-04-29_final
2023-05-09 10:02:42	ga_ls8c_ard_3-2-1_098068_2023-05-09_final
2023-05-27 11:31:35	ga_ls8c_ard_3-2-1_112074_2023-05-27_final
2023-07-23 11:25:01	ga_ls8c_ard_3-2-1_111072_2023-07-23_final
2023-07-26 10:16:41	ga_ls8c_ard_3-2-1_100071_2023-07-26_final
2023-08-31 09:56:58	ga_ls8c_ard_3-2-1_096083_2023-08-31_final
2023-09-06 09:22:15	ga_ls8c_ard_3-2-1_090089_2023-09-05_final
2023-09-13 09:21:43	ga_ls8c_ard_3-2-1_091072_2023-09-12_final
2023-10-01 10:46:44	ga_ls8c_ard_3-2-1_105068_2023-10-01_final
2023-12-05 11:31:35	ga_ls8c_ard_3-2-1_112072_2023-12-05_final
2023-12-09 09:28:46	ga_ls8c_ard_3-2-1_092074_2023-12-08_final
2023-12-09 09:33:10	ga_ls8c_ard_3-2-1_092085_2023-12-09_final
2023-12-30 09:46:58	ga_ls8c_ard_3-2-1_095073_2023-12-30_final
2024-02-06 10:46:43	ga_ls8c_ard_3-2-1_105068_2024-02-06_final
2024-02-11 09:29:10	ga_ls8c_ard_3-2-1_092075_2024-02-10_final
2024-03-16 09:21:42	ga_ls8c_ard_3-2-1_090088_2024-03-15_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years