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
2013-04-12 10:48:56	ga_ls8c_ard_3-0-0_105069_2013-04-12_final
2013-05-21 09:19:31	ga_ls8c_ard_3-0-0_090077_2013-05-20_final
2013-08-18 09:15:20	ga_ls8c_ard_3-0-0_089082_2013-08-17_final
2013-11-27 11:09:09	ga_ls8c_ard_3-0-0_108074_2013-11-27_final
2013-11-27 11:09:33	ga_ls8c_ard_3-0-0_108075_2013-11-27_final
2014-01-27 10:35:22	ga_ls8c_ard_3-0-0_103068_2014-01-27_final
2014-04-27 11:17:08	ga_ls8c_ard_3-0-0_109083_2014-04-27_final
2014-05-08 09:20:42	ga_ls8c_ard_3-0-0_090086_2014-05-07_final
2014-05-16 10:09:16	ga_ls8c_ard_3-0-0_098084_2014-05-16_final
2014-07-11 10:53:03	ga_ls8c_ard_3-0-0_106069_2014-07-11_final
2014-08-31 09:52:29	ga_ls8c_ard_3-0-0_095087_2014-08-31_final
2014-09-09 09:39:58	ga_ls8c_ard_3-0-0_094071_2014-09-09_final
2015-01-02 10:09:33	ga_ls8c_ard_3-0-0_099068_2015-01-02_final
2015-01-28 10:46:34	ga_ls8c_ard_3-0-0_105068_2015-01-28_final
2015-03-09 10:03:37	ga_ls8c_ard_3-0-0_097085_2015-03-09_final
2015-06-02 10:16:50	ga_ls8c_ard_3-0-0_100073_2015-06-02_final
2015-09-03 09:51:24	ga_ls8c_ard_3-0-0_095085_2015-09-03_final
2015-11-17 11:06:04	ga_ls8c_ard_3-0-0_108070_2015-11-17_final
2016-01-09 11:26:33	ga_ls8c_ard_3-0-0_111075_2016-01-09_final
2016-01-21 11:52:29	ga_ls8c_ard_3-0-0_115078_2016-01-21_final
2016-04-26 10:09:03	ga_ls8c_ard_3-0-0_099068_2016-04-26_final
2016-05-04 09:22:30	ga_ls8c_ard_3-0-0_091075_2016-05-03_final
2016-07-17 11:42:24	ga_ls8c_ard_3-0-0_113084_2016-07-17_final
2016-08-02 09:56:47	ga_ls8c_ard_3-0-0_097067_2016-08-02_final
2016-09-14 11:19:20	ga_ls8c_ard_3-0-0_110072_2016-09-14_final
2016-10-02 09:33:18	ga_ls8c_ard_3-0-0_092085_2016-10-02_final
2016-11-05 09:20:38	ga_ls8c_ard_3-0-0_090084_2016-11-04_final
2016-11-05 09:21:26	ga_ls8c_ard_3-0-0_090086_2016-11-04_final
2016-11-13 11:47:21	ga_ls8c_ard_3-0-0_114080_2016-11-13_final
2016-11-14 09:12:03	ga_ls8c_ard_3-0-0_089078_2016-11-13_final
2016-12-24 09:57:24	ga_ls8c_ard_3-0-0_097068_2016-12-24_final
2017-03-10 10:24:51	ga_ls8c_ard_3-0-0_101076_2017-03-10_final
2017-09-04 11:52:07	ga_ls8c_ard_3-0-0_115077_2017-09-04_final
2017-09-19 09:26:01	ga_ls8c_ard_3-0-0_092067_2017-09-18_final
2017-10-17 11:31:46	ga_ls8c_ard_3-0-0_112072_2017-10-17_final
2017-12-08 09:32:48	ga_ls8c_ard_3-0-0_092084_2017-12-08_final
2018-01-08 10:27:59	ga_ls8c_ard_3-0-0_101083_2018-01-08_final
2018-01-28 09:56:42	ga_ls8c_ard_3-0-0_097067_2018-01-28_final
2018-02-13 10:01:23	ga_ls8c_ard_3-0-0_097079_2018-02-13_final
2018-04-17 10:54:53	ga_ls8c_ard_3-0-0_106075_2018-04-17_final
2018-05-18 10:08:30	ga_ls8c_ard_3-0-0_099068_2018-05-18_final
2018-05-28 10:48:39	ga_ls8c_ard_3-0-0_105076_2018-05-28_final
2018-10-17 09:24:43	ga_ls8c_ard_3-0-0_091080_2018-10-16_final
2018-12-20 09:22:21	ga_ls8c_ard_3-0-0_091074_2018-12-19_final
2019-02-18 09:51:19	ga_ls8c_ard_3-0-0_095085_2019-02-18_final
2019-03-12 10:48:37	ga_ls8c_ard_3-1-0_105074_2019-03-12_final
2019-04-25 09:33:02	ga_ls8c_ard_3-0-0_093071_2019-04-25_final
2019-05-31 09:11:50	ga_ls8c_ard_3-0-0_089079_2019-05-30_final
2019-07-04 10:35:46	ga_ls8c_ard_3-1-0_103072_2019-07-04_final
2019-08-01 09:22:56	ga_ls8c_ard_3-1-0_091075_2019-07-31_final
2019-09-18 11:04:27	ga_ls8c_ard_3-1-0_107081_2019-09-18_final
2019-09-23 09:46:32	ga_ls8c_ard_3-1-0_094087_2019-09-23_final
2019-10-18 09:40:01	ga_ls8c_ard_3-1-0_093086_2019-10-18_final
2019-12-16 10:58:40	ga_ls8c_ard_3-2-0_106082_2019-12-16_final
2020-01-04 11:25:30	ga_ls8c_ard_3-1-0_111072_2020-01-04_final
2020-01-25 10:03:29	ga_ls8c_ard_3-1-0_098068_2020-01-25_final
2020-02-01 10:09:37	ga_ls8c_ard_3-1-0_099068_2020-02-01_final
2020-03-21 10:52:36	ga_ls8c_ard_3-1-0_106068_2020-03-21_final
2020-03-29 11:47:09	ga_ls8c_ard_3-1-0_114081_2020-03-29_final
2020-04-01 10:39:32	ga_ls8c_ard_3-1-0_103082_2020-04-01_final
2020-04-20 09:33:25	ga_ls8c_ard_3-1-0_092087_2020-04-20_final
2020-07-20 10:49:18	ga_ls8c_ard_3-1-0_105075_2020-07-20_final
2020-08-05 09:12:05	ga_ls8c_ard_3-1-0_089079_2020-08-04_final
2020-11-12 11:18:11	ga_ls8c_ard_3-1-0_110069_2020-11-12_final
2020-12-05 11:24:51	ga_ls8c_ard_3-1-0_111070_2020-12-05_final
2021-03-09 11:37:34	ga_ls8c_ard_3-2-0_113072_2021-03-09_final
2021-03-10 10:41:32	ga_ls8c_ard_3-2-0_104071_2021-03-10_final
2021-03-29 09:31:50	ga_ls8c_ard_3-2-0_093067_2021-03-29_final
2021-05-01 11:57:44	ga_ls8c_ard_3-2-0_116077_2021-05-01_final
2021-06-15 11:25:31	ga_ls8c_ard_3-2-0_111073_2021-06-15_final
2021-07-30 09:22:20	ga_ls8c_ard_3-2-0_090089_2021-07-29_final
2021-09-16 10:53:28	ga_ls8c_ard_3-2-0_106069_2021-09-16_final
2021-09-22 11:58:05	ga_ls8c_ard_3-2-0_116076_2021-09-22_final
2021-10-02 10:55:57	ga_ls8c_ard_3-2-0_106075_2021-10-02_final
2021-10-21 11:25:43	ga_ls8c_ard_3-2-0_111072_2021-10-21_final
2021-12-18 10:27:49	ga_ls8c_ard_3-2-1_101082_2021-12-18_final
2022-03-09 11:07:08	ga_ls8c_ard_3-2-1_108073_2022-03-09_final
2022-03-14 11:24:26	ga_ls8c_ard_3-2-1_111070_2022-03-14_final
2022-05-05 09:26:19	ga_ls8c_ard_3-2-1_091084_2022-05-04_final
2022-05-07 10:49:16	ga_ls8c_ard_3-2-1_105075_2022-05-07_final
2022-06-02 11:26:53	ga_ls8c_ard_3-2-1_111076_2022-06-02_final
2022-06-25 09:58:24	ga_ls8c_ard_3-2-1_096086_2022-06-25_final
2022-06-28 10:27:43	ga_ls8c_ard_3-2-1_101082_2022-06-28_final
2022-08-04 09:07:35	ga_ls8c_ard_3-2-1_088082_2022-08-03_final
2022-12-15 11:05:26	ga_ls8c_ard_3-2-1_107083_2022-12-15_final
2023-01-15 10:20:01	ga_ls8c_ard_3-2-1_100078_2023-01-15_final
2023-01-19 09:58:28	ga_ls8c_ard_3-2-1_096086_2023-01-19_final
2023-05-13 11:22:23	ga_ls8c_ard_3-2-1_110082_2023-05-13_final
2023-06-07 11:17:06	ga_ls8c_ard_3-2-1_109084_2023-06-07_final
2023-06-25 09:21:12	ga_ls8c_ard_3-2-1_091072_2023-06-24_final
2023-08-04 10:15:46	ga_ls8c_ard_3-2-1_099084_2023-08-04_final
2023-08-21 09:17:04	ga_ls8c_ard_3-2-1_090076_2023-08-20_final
2023-10-08 09:22:02	ga_ls8c_ard_3-2-1_090088_2023-10-07_final
2023-10-12 10:28:14	ga_ls8c_ard_3-2-1_102068_2023-10-12_final
2023-10-15 09:23:51	ga_ls8c_ard_3-2-1_091077_2023-10-14_final
2023-10-25 10:00:33	ga_ls8c_ard_3-2-1_097076_2023-10-25_final
2023-10-30 10:17:07	ga_ls8c_ard_3-2-1_100071_2023-10-30_final
2023-12-02 11:01:09	ga_ls8c_ard_3-2-1_107073_2023-12-02_final
2023-12-14 11:24:16	ga_ls8c_ard_3-2-1_111069_2023-12-14_final
2024-01-05 09:11:47	ga_ls8c_ard_3-2-1_089078_2024-01-04_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