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
2013-07-24 10:54:45	ga_ls8c_ard_3-0-0_106068_2013-07-24_final
2013-11-13 10:54:54	ga_ls8c_ard_3-0-0_106069_2013-11-13_final
2014-02-22 11:18:05	ga_ls8c_ard_3-0-0_109083_2014-02-22_final
2014-03-20 11:51:14	ga_ls8c_ard_3-0-0_115074_2014-03-20_final
2014-07-12 11:35:31	ga_ls8c_ard_3-0-0_113067_2014-07-12_final
2014-10-27 11:18:06	ga_ls8c_ard_3-0-0_110069_2014-10-27_final
2015-05-27 10:55:51	ga_ls8c_ard_3-0-0_106078_2015-05-27_final
2015-11-13 11:35:09	ga_ls8c_ard_3-0-0_112081_2015-11-13_final
2015-11-15 11:20:01	ga_ls8c_ard_3-0-0_110074_2015-11-15_final
2016-03-10 10:53:51	ga_ls8c_ard_3-0-0_106071_2016-03-10_final
2016-03-13 11:24:44	ga_ls8c_ard_3-0-0_111071_2016-03-13_final
2017-03-14 11:35:23	ga_ls8c_ard_3-0-0_113067_2017-03-14_final
2017-04-19 11:15:32	ga_ls8c_ard_3-0-0_109080_2017-04-19_final
2017-05-19 11:29:33	ga_ls8c_ard_3-0-0_111084_2017-05-19_final
2017-08-26 11:58:40	ga_ls8c_ard_3-0-0_116078_2017-08-26_final
2017-12-26 10:55:46	ga_ls8c_ard_3-0-0_106075_2017-12-26_final
2018-04-17 10:55:17	ga_ls8c_ard_3-0-0_106076_2018-04-17_final
2018-04-29 11:18:41	ga_ls8c_ard_3-0-0_110073_2018-04-29_final
2018-05-25 11:57:28	ga_ls8c_ard_3-0-0_116078_2018-05-25_final
2018-05-27 11:40:41	ga_ls8c_ard_3-0-0_114067_2018-05-27_final
2018-10-13 11:26:19	ga_ls8c_ard_3-0-0_111075_2018-10-13_final
2018-11-09 11:07:52	ga_ls8c_ard_3-0-0_108075_2018-11-09_final
2019-01-23 10:49:36	ga_ls8c_ard_3-0-0_105076_2019-01-23_final
2019-06-07 10:58:09	ga_ls8c_ard_3-0-0_106082_2019-06-07_final
2019-06-08 11:41:01	ga_ls8c_ard_3-0-0_113081_2019-06-08_final
2019-07-12 11:25:37	ga_ls8c_ard_3-1-0_111073_2019-07-12_final
2019-07-28 11:29:42	ga_ls8c_ard_3-1-0_111083_2019-07-28_final
2019-11-01 11:25:41	ga_ls8c_ard_3-1-0_111072_2019-11-01_final
2019-12-14 09:33:45	ga_ls8c_ard_3-2-0_092086_2019-12-14_final
2019-12-17 09:57:27	ga_ls8c_ard_3-2-0_097068_2019-12-17_final
2020-01-10 10:50:00	ga_ls8c_ard_3-1-0_105076_2020-01-10_final
2020-07-27 10:57:30	ga_ls8c_ard_3-1-0_106080_2020-07-27_final
2020-10-16 11:41:35	ga_ls8c_ard_3-1-0_113081_2020-10-16_final
2020-11-24 10:04:04	ga_ls8c_ard_3-1-0_098069_2020-11-24_final
2021-01-01 11:11:49	ga_ls8c_ard_3-2-0_108084_2021-01-01_final
2021-02-07 11:26:12	ga_ls8c_ard_3-2-0_111074_2021-02-07_final
2021-03-04 11:22:39	ga_ls8c_ard_3-2-0_110081_2021-03-04_final
2021-04-09 09:17:38	ga_ls8c_ard_3-2-0_090078_2021-04-08_final
2021-04-18 09:12:59	ga_ls8c_ard_3-2-0_089082_2021-04-17_final
2021-06-03 09:23:26	ga_ls8c_ard_3-2-0_091077_2021-06-02_final
2021-06-05 09:11:53	ga_ls8c_ard_3-2-0_089079_2021-06-04_final
2021-06-10 09:32:27	ga_ls8c_ard_3-2-0_092084_2021-06-10_final
2021-06-12 10:52:37	ga_ls8c_ard_3-2-0_106068_2021-06-12_final
2021-07-17 11:24:49	ga_ls8c_ard_3-2-0_111071_2021-07-17_final
2021-08-15 10:56:08	ga_ls8c_ard_3-2-0_106076_2021-08-15_final
2021-08-23 11:46:48	ga_ls8c_ard_3-2-0_114079_2021-08-23_final
2021-09-05 09:39:05	ga_ls8c_ard_3-2-0_093084_2021-09-05_final
2021-09-07 09:26:44	ga_ls8c_ard_3-2-0_091084_2021-09-06_final
2021-10-09 09:22:53	ga_ls8c_ard_3-2-0_091074_2021-10-08_final
2021-10-09 11:01:46	ga_ls8c_ard_3-2-0_107074_2021-10-09_final
2021-10-30 11:20:44	ga_ls8c_ard_3-2-0_110075_2021-10-30_final
2021-11-11 10:04:08	ga_ls8c_ard_3-2-0_098069_2021-11-11_final
2021-11-16 10:23:50	ga_ls8c_ard_3-2-0_101072_2021-11-16_final
2021-12-24 09:47:06	ga_ls8c_ard_3-2-1_095073_2021-12-24_final
2021-12-28 11:00:26	ga_ls8c_ard_3-2-1_107071_2021-12-28_final
2022-01-04 09:29:42	ga_ls8c_ard_3-2-1_092076_2022-01-03_final
2022-01-06 10:55:50	ga_ls8c_ard_3-2-1_106075_2022-01-06_final
2022-01-09 09:47:26	ga_ls8c_ard_3-2-1_095074_2022-01-09_final
2022-03-20 09:14:23	ga_ls8c_ard_3-2-1_089085_2022-03-19_final
2022-06-02 11:25:18	ga_ls8c_ard_3-2-1_111072_2022-06-02_final
2022-06-15 09:17:16	ga_ls8c_ard_3-2-1_090076_2022-06-14_final
2022-07-05 10:28:19	ga_ls8c_ard_3-2-1_102068_2022-07-05_final
2022-07-09 11:47:40	ga_ls8c_ard_3-2-1_114081_2022-07-09_final
2022-07-16 10:11:21	ga_ls8c_ard_3-2-1_099072_2022-07-16_final
2022-08-18 09:20:49	ga_ls8c_ard_3-2-1_090084_2022-08-17_final
2022-08-26 10:04:41	ga_ls8c_ard_3-2-1_098070_2022-08-26_final
2022-09-12 10:50:25	ga_ls8c_ard_3-2-1_105076_2022-09-12_final
2022-09-16 10:26:07	ga_ls8c_ard_3-2-1_101077_2022-09-16_final
2022-09-28 10:50:03	ga_ls8c_ard_3-2-1_105075_2022-09-28_final
2022-10-28 11:02:00	ga_ls8c_ard_3-2-1_107074_2022-10-28_final
2022-10-30 10:48:51	ga_ls8c_ard_3-2-1_105072_2022-10-30_final
2022-12-01 10:47:34	ga_ls8c_ard_3-2-1_105069_2022-12-01_final
2022-12-23 10:09:30	ga_ls8c_ard_3-2-1_099067_2022-12-23_final
2023-01-26 09:57:08	ga_ls8c_ard_3-2-1_097067_2023-01-26_final
2023-01-29 10:28:51	ga_ls8c_ard_3-2-1_102069_2023-01-29_final
2023-02-17 09:25:07	ga_ls8c_ard_3-2-1_091080_2023-02-16_final
2023-03-16 09:07:05	ga_ls8c_ard_3-2-1_088082_2023-03-15_final
2023-04-02 09:50:57	ga_ls8c_ard_3-2-1_095084_2023-04-02_final
2023-04-12 10:24:15	ga_ls8c_ard_3-2-1_101075_2023-04-12_final
2023-04-19 10:27:35	ga_ls8c_ard_3-2-1_102068_2023-04-19_final
2023-04-26 10:35:21	ga_ls8c_ard_3-2-1_103072_2023-04-26_final
2023-05-09 10:03:54	ga_ls8c_ard_3-2-1_098071_2023-05-09_final
2023-05-29 11:18:25	ga_ls8c_ard_3-2-1_110072_2023-05-29_final
2023-06-16 09:33:43	ga_ls8c_ard_3-2-1_092088_2023-06-16_final
2023-07-08 10:29:44	ga_ls8c_ard_3-2-1_102073_2023-07-08_final
2023-07-21 09:56:28	ga_ls8c_ard_3-2-1_097067_2023-07-21_final
2023-08-01 09:39:40	ga_ls8c_ard_3-2-1_094071_2023-08-01_final
2023-08-03 11:06:12	ga_ls8c_ard_3-2-1_108071_2023-08-03_final
2023-08-17 11:23:50	ga_ls8c_ard_3-2-1_110084_2023-08-17_final
2023-08-26 11:17:43	ga_ls8c_ard_3-2-1_109084_2023-08-26_final
2023-09-20 11:07:37	ga_ls8c_ard_3-2-1_108074_2023-09-20_final
2023-09-29 10:59:53	ga_ls8c_ard_3-2-1_107070_2023-09-29_final
2023-10-16 11:47:35	ga_ls8c_ard_3-2-1_114081_2023-10-16_final
2023-10-30 10:22:19	ga_ls8c_ard_3-2-1_100084_2023-10-30_final
2023-10-31 09:22:18	ga_ls8c_ard_3-2-1_091073_2023-10-30_final
2023-11-30 09:40:39	ga_ls8c_ard_3-2-1_093088_2023-11-30_final
2023-12-11 10:53:20	ga_ls8c_ard_3-2-1_106069_2023-12-11_final
2024-01-18 10:21:48	ga_ls8c_ard_3-2-1_100083_2024-01-18_final
2024-01-25 10:23:07	ga_ls8c_ard_3-2-1_101071_2024-01-25_final
2024-02-20 11:01:50	ga_ls8c_ard_3-2-1_107075_2024-02-20_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