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
2013-07-20 11:21:04	ga_ls8c_ard_3-0-0_110072_2013-07-20_final
2013-12-31 10:54:12	ga_ls8c_ard_3-0-0_106068_2013-12-31_final
2014-02-19 10:41:14	ga_ls8c_ard_3-0-0_104068_2014-02-19_final
2014-03-02 10:26:05	ga_ls8c_ard_3-0-0_101077_2014-03-02_final
2014-03-08 11:30:38	ga_ls8c_ard_3-0-0_111084_2014-03-08_final
2014-04-15 10:46:35	ga_ls8c_ard_3-0-0_105068_2014-04-15_final
2014-08-16 10:30:08	ga_ls8c_ard_3-0-0_102073_2014-08-16_final
2014-10-19 10:28:42	ga_ls8c_ard_3-0-0_102069_2014-10-19_final
2014-11-19 11:24:16	ga_ls8c_ard_3-0-0_111069_2014-11-19_final
2015-01-22 11:24:03	ga_ls8c_ard_3-0-0_111069_2015-01-22_final
2015-03-26 10:40:20	ga_ls8c_ard_3-0-0_104069_2015-03-26_final
2015-07-02 10:27:28	ga_ls8c_ard_3-0-0_102068_2015-07-02_final
2015-07-14 10:53:08	ga_ls8c_ard_3-0-0_106070_2015-07-14_final
2015-08-06 11:04:35	ga_ls8c_ard_3-0-0_107083_2015-08-06_final
2015-11-29 11:32:25	ga_ls8c_ard_3-0-0_112074_2015-11-29_final
2016-01-22 10:53:16	ga_ls8c_ard_3-0-0_106069_2016-01-22_final
2016-04-15 10:33:14	ga_ls8c_ard_3-0-0_102082_2016-04-15_final
2016-11-21 10:54:20	ga_ls8c_ard_3-0-0_106071_2016-11-21_final
2017-01-26 10:46:06	ga_ls8c_ard_3-0-0_104082_2017-01-26_final
2017-02-12 11:24:26	ga_ls8c_ard_3-0-0_111070_2017-02-12_final
2017-07-06 11:25:29	ga_ls8c_ard_3-0-0_111073_2017-07-06_final
2018-01-20 10:49:01	ga_ls8c_ard_3-0-0_105074_2018-01-20_final
2018-02-08 11:18:09	ga_ls8c_ard_3-0-0_110070_2018-02-08_final
2018-03-03 11:24:58	ga_ls8c_ard_3-0-0_111072_2018-03-03_final
2018-05-23 10:32:34	ga_ls8c_ard_3-0-0_102082_2018-05-23_final
2018-06-19 11:52:08	ga_ls8c_ard_3-0-0_115080_2018-06-19_final
2018-08-04 10:26:48	ga_ls8c_ard_3-0-0_101082_2018-08-04_final
2018-09-12 10:28:53	ga_ls8c_ard_3-0-0_102071_2018-09-12_final
2018-10-17 10:59:37	ga_ls8c_ard_3-0-0_107070_2018-10-17_final
2018-12-11 11:07:49	ga_ls8c_ard_3-0-0_108075_2018-12-11_final
2019-03-16 10:27:04	ga_ls8c_ard_3-1-0_101082_2019-03-16_final
2019-05-07 11:41:31	ga_ls8c_ard_3-0-0_113083_2019-05-07_final
2019-06-24 11:35:32	ga_ls8c_ard_3-1-0_113067_2019-06-24_final
2019-10-22 10:46:36	ga_ls8c_ard_3-1-0_105067_2019-10-22_final
2019-11-07 10:49:47	ga_ls8c_ard_3-1-0_105075_2019-11-07_final
2020-03-08 11:24:00	ga_ls8c_ard_3-1-0_111069_2020-03-08_final
2020-03-28 11:05:05	ga_ls8c_ard_3-1-0_107084_2020-03-28_final
2020-07-20 10:46:30	ga_ls8c_ard_3-1-0_105068_2020-07-20_final
2020-10-16 11:42:22	ga_ls8c_ard_3-1-0_113083_2020-10-16_final
2020-10-21 11:57:43	ga_ls8c_ard_3-1-0_116075_2020-10-21_final
2020-12-10 10:08:29	ga_ls8c_ard_3-1-0_098080_2020-12-10_final
2020-12-29 10:34:33	ga_ls8c_ard_3-2-0_103068_2020-12-29_final
2021-01-18 11:51:21	ga_ls8c_ard_3-2-0_115075_2021-01-18_final
2021-01-27 10:09:28	ga_ls8c_ard_3-2-0_098083_2021-01-27_final
2021-02-07 11:25:24	ga_ls8c_ard_3-2-0_111072_2021-02-07_final
2021-03-24 09:16:30	ga_ls8c_ard_3-2-0_090075_2021-03-23_final
2021-04-19 11:31:08	ga_ls8c_ard_3-2-0_112072_2021-04-19_final
2021-04-27 10:42:01	ga_ls8c_ard_3-2-0_104073_2021-04-27_final
2021-05-09 09:33:22	ga_ls8c_ard_3-2-0_092087_2021-05-09_final
2021-05-15 10:28:27	ga_ls8c_ard_3-2-0_102070_2021-05-15_final
2021-05-29 09:06:51	ga_ls8c_ard_3-2-0_088082_2021-05-28_final
2021-08-23 10:04:20	ga_ls8c_ard_3-2-0_098070_2021-08-23_final
2021-09-10 11:35:20	ga_ls8c_ard_3-2-0_112081_2021-09-10_final
2021-11-13 11:32:38	ga_ls8c_ard_3-2-0_112074_2021-11-13_final
2021-11-25 10:22:03	ga_ls8c_ard_3-2-0_100083_2021-11-25_final
2021-12-05 09:21:27	ga_ls8c_ard_3-2-0_090086_2021-12-04_final
2022-01-03 10:25:44	ga_ls8c_ard_3-2-1_101077_2022-01-03_final
2022-01-09 09:47:02	ga_ls8c_ard_3-2-1_095073_2022-01-09_final
2022-01-14 11:47:39	ga_ls8c_ard_3-2-1_114081_2022-01-14_final
2022-01-18 11:23:18	ga_ls8c_ard_3-2-1_110082_2022-01-18_final
2022-01-28 10:20:14	ga_ls8c_ard_3-2-1_100079_2022-01-28_final
2022-02-05 09:34:23	ga_ls8c_ard_3-2-1_092088_2022-02-05_final
2022-03-22 10:35:42	ga_ls8c_ard_3-2-1_103072_2022-03-22_final
2022-03-27 10:55:46	ga_ls8c_ard_3-2-1_106076_2022-03-27_final
2022-04-05 10:46:22	ga_ls8c_ard_3-2-1_105068_2022-04-05_final
2022-04-07 10:35:38	ga_ls8c_ard_3-2-1_103072_2022-04-07_final
2022-05-07 10:49:40	ga_ls8c_ard_3-2-1_105076_2022-05-07_final
2022-05-13 10:15:50	ga_ls8c_ard_3-2-1_099084_2022-05-13_final
2022-06-11 11:24:01	ga_ls8c_ard_3-2-1_110084_2022-06-11_final
2022-07-15 09:28:05	ga_ls8c_ard_3-2-1_092072_2022-07-14_final
2022-09-07 10:29:50	ga_ls8c_ard_3-2-1_102071_2022-09-07_final
2022-09-13 11:36:05	ga_ls8c_ard_3-2-1_112082_2022-09-13_final
2023-01-12 11:26:03	ga_ls8c_ard_3-2-1_111073_2023-01-12_final
2023-02-05 10:35:25	ga_ls8c_ard_3-2-1_103070_2023-02-05_final
2023-02-11 11:42:21	ga_ls8c_ard_3-2-1_113083_2023-02-11_final
2023-03-03 09:33:41	ga_ls8c_ard_3-2-1_093071_2023-03-03_final
2023-03-07 10:52:12	ga_ls8c_ard_3-2-1_105082_2023-03-07_final
2023-05-01 10:52:16	ga_ls8c_ard_3-2-1_106068_2023-05-01_final
2023-05-08 09:21:04	ga_ls8c_ard_3-2-1_091072_2023-05-07_final
2023-05-20 11:26:10	ga_ls8c_ard_3-2-1_111076_2023-05-20_final
2023-06-10 10:06:22	ga_ls8c_ard_3-2-1_098077_2023-06-10_final
2023-06-19 11:40:43	ga_ls8c_ard_3-2-1_113081_2023-06-19_final
2023-07-05 09:59:13	ga_ls8c_ard_3-2-1_097074_2023-07-05_final
2023-09-04 11:10:19	ga_ls8c_ard_3-2-1_108081_2023-09-04_final
2023-09-15 09:13:22	ga_ls8c_ard_3-2-1_089082_2023-09-14_final
2023-10-01 10:49:56	ga_ls8c_ard_3-2-1_105076_2023-10-01_final
2023-10-02 11:32:23	ga_ls8c_ard_3-2-1_112074_2023-10-02_final
2023-10-08 09:17:14	ga_ls8c_ard_3-2-1_090076_2023-10-07_final
2023-11-07 09:29:38	ga_ls8c_ard_3-2-1_092076_2023-11-06_final
2023-11-14 09:34:13	ga_ls8c_ard_3-2-1_093072_2023-11-14_final
2023-11-23 09:29:19	ga_ls8c_ard_3-2-1_092075_2023-11-22_final
2024-02-03 10:20:11	ga_ls8c_ard_3-2-1_100079_2024-02-03_final
2024-02-08 10:34:45	ga_ls8c_ard_3-2-1_103069_2024-02-08_final
2024-02-23 09:54:14	ga_ls8c_ard_3-2-1_096076_2024-02-23_final
2024-02-27 09:32:16	ga_ls8c_ard_3-2-1_092083_2024-02-27_final
2024-02-28 11:51:12	ga_ls8c_ard_3-2-1_115075_2024-02-28_final
2024-03-01 09:59:08	ga_ls8c_ard_3-2-1_097073_2024-03-01_final
2024-03-04 10:29:59	ga_ls8c_ard_3-2-1_102073_2024-03-04_final
2024-03-08 11:46:53	ga_ls8c_ard_3-2-1_114080_2024-03-08_final
2024-03-14 09:28:30	ga_ls8c_ard_3-2-1_092074_2024-03-13_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