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
2013-08-12 09:48:49	ga_ls8c_ard_3-0-0_095073_2013-08-12_final
2013-08-19 11:32:42	ga_ls8c_ard_3-0-0_112070_2013-08-19_final
2013-09-06 09:40:16	ga_ls8c_ard_3-0-0_094067_2013-09-06_final
2014-02-04 11:26:43	ga_ls8c_ard_3-0-0_111073_2014-02-04_final
2014-04-18 11:23:49	ga_ls8c_ard_3-0-0_110084_2014-04-18_final
2014-05-20 09:42:56	ga_ls8c_ard_3-0-0_094080_2014-05-20_final
2014-08-31 09:46:53	ga_ls8c_ard_3-0-0_095073_2014-08-31_final
2014-09-28 11:52:31	ga_ls8c_ard_3-0-0_115078_2014-09-28_final
2014-10-11 09:40:50	ga_ls8c_ard_3-0-0_094073_2014-10-11_final
2015-06-30 09:06:55	ga_ls8c_ard_3-0-0_088083_2015-06-29_final
2015-07-26 11:19:54	ga_ls8c_ard_3-0-0_110075_2015-07-26_final
2015-10-05 11:29:42	ga_ls8c_ard_3-0-0_111083_2015-10-05_final
2016-03-12 09:06:35	ga_ls8c_ard_3-1-0_088081_2016-03-11_final
2016-03-28 09:06:50	ga_ls8c_ard_3-0-0_088082_2016-03-27_final
2016-06-15 11:35:21	ga_ls8c_ard_3-0-0_113067_2016-06-15_final
2016-07-01 11:38:41	ga_ls8c_ard_3-0-0_113075_2016-07-01_final
2016-08-20 11:24:36	ga_ls8c_ard_3-0-0_111070_2016-08-20_final
2016-10-23 09:46:45	ga_ls8c_ard_3-0-0_095072_2016-10-23_final
2017-01-09 11:38:38	ga_ls8c_ard_3-0-0_113074_2017-01-09_final
2017-01-27 09:46:05	ga_ls8c_ard_3-0-0_095071_2017-01-27_final
2017-02-08 11:51:35	ga_ls8c_ard_3-0-0_115076_2017-02-08_final
2017-05-10 11:30:02	ga_ls8c_ard_3-0-0_112070_2017-05-10_final
2017-08-30 11:31:34	ga_ls8c_ard_3-0-0_112072_2017-08-30_final
2017-12-22 11:18:31	ga_ls8c_ard_3-0-0_110070_2017-12-22_final
2018-04-04 09:46:13	ga_ls8c_ard_3-0-0_095073_2018-04-04_final
2018-04-11 11:31:37	ga_ls8c_ard_3-0-0_112074_2018-04-11_final
2018-05-06 11:23:36	ga_ls8c_ard_3-0-0_111070_2018-05-06_final
2018-05-15 09:37:15	ga_ls8c_ard_3-0-0_094067_2018-05-15_final
2018-11-03 11:47:20	ga_ls8c_ard_3-0-0_114081_2018-11-03_final
2018-12-12 11:52:40	ga_ls8c_ard_3-0-0_115079_2018-12-12_final
2019-01-10 11:20:09	ga_ls8c_ard_3-0-0_110075_2019-01-10_final
2019-01-17 11:24:43	ga_ls8c_ard_3-0-0_111071_2019-01-17_final
2019-03-15 09:39:49	ga_ls8c_ard_3-1-0_094072_2019-03-15_final
2019-04-25 11:13:31	ga_ls8c_ard_3-1-0_109075_2019-04-25_final
2019-06-01 11:30:24	ga_ls8c_ard_3-0-0_112070_2019-06-01_final
2019-11-10 09:40:35	ga_ls8c_ard_3-1-0_094072_2019-11-10_final
2020-04-14 10:02:09	ga_ls8c_ard_3-2-1_098066_2020-04-14_final
2020-04-18 11:17:29	ga_ls8c_ard_3-1-0_110069_2020-04-18_final
2020-11-18 09:07:26	ga_ls8c_ard_3-1-0_088082_2020-11-17_final
2021-03-22 11:06:33	ga_ls8c_ard_3-2-0_108072_2021-03-22_final
2021-03-23 10:10:32	ga_ls8c_ard_3-2-0_099071_2021-03-23_final
2021-05-11 10:58:19	ga_ls8c_ard_3-2-0_106083_2021-05-11_final
2021-05-27 09:16:24	ga_ls8c_ard_3-2-0_090075_2021-05-26_final
2021-06-26 09:28:32	ga_ls8c_ard_3-2-0_092074_2021-06-25_final
2021-07-01 11:26:47	ga_ls8c_ard_3-2-0_111076_2021-07-01_final
2021-07-12 09:32:58	ga_ls8c_ard_3-2-0_092085_2021-07-12_final
2021-07-29 10:13:57	ga_ls8c_ard_3-2-0_099079_2021-07-29_final
2021-08-02 11:25:45	ga_ls8c_ard_3-2-0_111073_2021-08-02_final
2021-10-20 09:07:34	ga_ls8c_ard_3-2-0_088082_2021-10-19_final
2021-10-30 11:17:33	ga_ls8c_ard_3-2-0_110067_2021-10-30_final
2021-11-24 09:32:24	ga_ls8c_ard_3-2-0_093067_2021-11-24_final
2021-12-08 11:24:27	ga_ls8c_ard_3-2-1_111069_2021-12-08_final
2022-01-24 10:40:36	ga_ls8c_ard_3-2-1_104068_2022-01-24_final
2022-03-18 10:59:40	ga_ls8c_ard_3-2-1_107070_2022-03-18_final
2022-04-27 11:51:46	ga_ls8c_ard_3-2-1_115077_2022-04-27_final
2022-05-13 10:09:27	ga_ls8c_ard_3-2-1_099068_2022-05-13_final
2022-06-01 10:46:00	ga_ls8c_ard_3-2-1_104082_2022-06-01_final
2022-07-08 09:28:19	ga_ls8c_ard_3-2-1_091088_2022-07-07_final
2022-07-12 10:36:04	ga_ls8c_ard_3-2-1_103072_2022-07-12_final
2022-07-13 09:40:03	ga_ls8c_ard_3-2-1_094071_2022-07-13_final
2022-07-23 11:58:31	ga_ls8c_ard_3-2-1_116077_2022-07-23_final
2022-08-21 09:46:56	ga_ls8c_ard_3-2-1_095072_2022-08-21_final
2022-08-27 10:49:56	ga_ls8c_ard_3-2-1_105075_2022-08-27_final
2022-09-13 09:58:47	ga_ls8c_ard_3-2-1_096086_2022-09-13_final
2022-11-05 10:10:58	ga_ls8c_ard_3-2-1_099070_2022-11-05_final
2022-11-24 09:08:05	ga_ls8c_ard_3-2-1_088083_2022-11-23_final
2022-11-27 11:13:29	ga_ls8c_ard_3-2-1_109072_2022-11-27_final
2022-11-30 10:05:30	ga_ls8c_ard_3-2-1_098072_2022-11-30_final
2022-12-02 11:32:02	ga_ls8c_ard_3-2-1_112072_2022-12-02_final
2022-12-07 10:10:53	ga_ls8c_ard_3-2-1_099070_2022-12-07_final
2022-12-13 11:14:38	ga_ls8c_ard_3-2-1_109075_2022-12-13_final
2022-12-14 10:20:12	ga_ls8c_ard_3-2-1_100078_2022-12-14_final
2022-12-15 09:22:10	ga_ls8c_ard_3-2-1_091072_2022-12-14_final
2022-12-24 09:17:05	ga_ls8c_ard_3-2-1_090075_2022-12-23_final
2023-02-19 10:47:36	ga_ls8c_ard_3-2-1_105070_2023-02-19_final
2023-02-26 10:54:50	ga_ls8c_ard_3-2-1_106073_2023-02-26_final
2023-04-04 09:34:10	ga_ls8c_ard_3-2-1_093073_2023-04-04_final
2023-04-06 09:25:45	ga_ls8c_ard_3-2-1_091083_2023-04-05_final
2023-04-12 10:23:51	ga_ls8c_ard_3-2-1_101074_2023-04-12_final
2023-05-06 11:13:56	ga_ls8c_ard_3-2-1_109076_2023-05-06_final
2023-05-23 10:19:00	ga_ls8c_ard_3-2-1_100078_2023-05-23_final
2023-06-23 09:39:30	ga_ls8c_ard_3-2-1_093087_2023-06-23_final
2023-07-02 09:32:40	ga_ls8c_ard_3-2-1_092085_2023-07-02_final
2023-07-16 11:20:25	ga_ls8c_ard_3-2-1_110076_2023-07-16_final
2023-08-05 09:21:21	ga_ls8c_ard_3-2-1_090087_2023-08-04_final
2023-08-22 09:57:09	ga_ls8c_ard_3-2-1_097068_2023-08-22_final
2023-09-06 09:21:27	ga_ls8c_ard_3-2-1_090087_2023-09-05_final
2023-10-17 10:46:46	ga_ls8c_ard_3-2-1_105068_2023-10-17_final
2023-10-17 10:49:10	ga_ls8c_ard_3-2-1_105074_2023-10-17_final
2023-11-07 11:07:43	ga_ls8c_ard_3-2-1_108074_2023-11-07_final
2023-11-17 10:07:09	ga_ls8c_ard_3-2-1_098077_2023-11-17_final
2023-12-01 11:58:23	ga_ls8c_ard_3-2-1_116077_2023-12-01_final
2023-12-13 09:06:30	ga_ls8c_ard_3-2-1_088080_2023-12-12_final
2024-01-19 09:21:47	ga_ls8c_ard_3-2-1_091072_2024-01-18_final
2024-01-29 09:57:36	ga_ls8c_ard_3-2-1_097069_2024-01-29_final
2024-02-18 09:33:43	ga_ls8c_ard_3-2-1_093071_2024-02-18_final
2024-02-21 10:07:48	ga_ls8c_ard_3-2-1_098079_2024-02-21_final
2024-02-22 10:46:40	ga_ls8c_ard_3-2-1_105068_2024-02-22_final
2024-03-23 09:21:24	ga_ls8c_ard_3-2-1_091072_2024-03-22_final
2024-03-31 10:13:55	ga_ls8c_ard_3-2-1_099080_2024-03-31_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