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
2013-03-26 09:35:18	ga_ls8c_ard_3-0-0_093072_2013-03-26_final
2013-06-02 11:19:58	ga_ls8c_ard_3-0-0_110069_2013-06-02_final
2013-06-05 10:11:34	ga_ls8c_ard_3-0-0_099068_2013-06-05_final
2013-07-07 10:14:42	ga_ls8c_ard_3-0-0_099076_2013-07-07_final
2013-07-08 10:59:34	ga_ls8c_ard_3-0-0_106080_2013-07-08_final
2013-09-05 10:37:53	ga_ls8c_ard_3-0-0_103072_2013-09-05_final
2013-10-28 10:54:30	ga_ls8c_ard_3-0-0_106068_2013-10-28_final
2013-11-09 09:47:57	ga_ls8c_ard_3-0-0_094087_2013-11-09_final
2014-11-14 11:07:22	ga_ls8c_ard_3-0-0_108073_2014-11-14_final
2014-12-01 11:52:36	ga_ls8c_ard_3-0-0_115078_2014-12-01_final
2015-02-12 10:03:35	ga_ls8c_ard_3-0-0_098069_2015-02-12_final
2015-04-15 10:19:05	ga_ls8c_ard_3-0-0_100078_2015-04-15_final
2015-05-01 10:16:08	ga_ls8c_ard_3-0-0_100071_2015-05-01_final
2015-05-07 09:38:56	ga_ls8c_ard_3-0-0_094071_2015-05-07_final
2015-05-31 10:31:09	ga_ls8c_ard_3-0-0_102078_2015-05-31_final
2015-06-30 09:06:55	ga_ls8c_ard_3-0-0_088083_2015-06-29_final
2015-07-06 10:06:24	ga_ls8c_ard_3-0-0_098077_2015-07-06_final
2015-08-30 10:12:31	ga_ls8c_ard_3-1-0_099076_2015-08-30_final
2016-05-04 11:00:59	ga_ls8c_ard_3-0-0_107074_2016-05-04_final
2016-05-07 11:31:51	ga_ls8c_ard_3-0-0_112074_2016-05-07_final
2016-06-02 10:27:44	ga_ls8c_ard_3-0-0_102068_2016-06-02_final
2016-07-20 10:28:51	ga_ls8c_ard_3-0-0_102070_2016-07-20_final
2016-07-30 09:35:04	ga_ls8c_ard_3-0-0_092090_2016-07-30_final
2016-09-25 11:00:00	ga_ls8c_ard_3-0-0_107070_2016-09-25_final
2016-10-06 09:07:01	ga_ls8c_ard_3-1-0_088081_2016-10-05_final
2016-10-30 11:30:37	ga_ls8c_ard_3-0-0_112069_2016-10-30_final
2016-12-06 10:10:15	ga_ls8c_ard_3-0-0_099069_2016-12-06_final
2016-12-31 11:46:03	ga_ls8c_ard_3-0-0_114077_2016-12-31_final
2017-04-01 09:45:59	ga_ls8c_ard_3-0-0_095072_2017-04-01_final
2017-04-25 10:38:23	ga_ls8c_ard_3-0-0_103080_2017-04-25_final
2017-06-06 11:14:34	ga_ls8c_ard_3-0-0_109077_2017-06-06_final
2017-07-22 09:46:41	ga_ls8c_ard_3-0-0_095073_2017-07-22_final
2017-08-19 11:51:40	ga_ls8c_ard_3-0-0_115076_2017-08-19_final
2017-09-14 10:47:07	ga_ls8c_ard_3-0-0_105069_2017-09-14_final
2017-09-24 11:23:53	ga_ls8c_ard_3-0-0_111068_2017-09-24_final
2017-10-08 09:57:26	ga_ls8c_ard_3-0-0_097068_2017-10-08_final
2017-12-16 11:58:46	ga_ls8c_ard_3-0-0_116078_2017-12-16_final
2017-12-19 10:47:12	ga_ls8c_ard_3-0-0_105069_2017-12-19_final
2018-02-22 11:32:02	ga_ls8c_ard_3-0-0_112074_2018-02-22_final
2018-04-13 11:23:14	ga_ls8c_ard_3-0-0_110084_2018-04-13_final
2018-06-05 09:56:21	ga_ls8c_ard_3-0-0_097069_2018-06-05_final
2018-06-23 11:22:40	ga_ls8c_ard_3-0-0_111068_2018-06-23_final
2018-09-23 11:51:40	ga_ls8c_ard_3-0-0_115077_2018-09-23_final
2018-11-08 10:25:01	ga_ls8c_ard_3-0-0_101076_2018-11-08_final
2018-12-07 09:58:04	ga_ls8c_ard_3-0-0_096086_2018-12-07_final
2019-01-26 11:20:06	ga_ls8c_ard_3-0-0_110075_2019-01-26_final
2019-02-16 11:37:23	ga_ls8c_ard_3-0-0_113072_2019-02-16_final
2019-02-20 09:33:46	ga_ls8c_ard_3-0-0_093072_2019-02-20_final
2019-02-24 10:46:19	ga_ls8c_ard_3-0-0_105068_2019-02-24_final
2019-02-27 11:19:36	ga_ls8c_ard_3-0-0_110074_2019-02-27_final
2019-04-07 11:25:36	ga_ls8c_ard_3-1-0_111074_2019-04-07_final
2019-05-23 09:56:25	ga_ls8c_ard_3-0-0_097067_2019-05-23_final
2019-06-30 11:01:40	ga_ls8c_ard_3-1-0_107075_2019-06-30_final
2019-07-02 10:46:31	ga_ls8c_ard_3-1-0_105068_2019-07-02_final
2019-08-09 10:10:02	ga_ls8c_ard_3-1-0_099069_2019-08-09_final
2019-09-24 10:26:12	ga_ls8c_ard_3-1-0_101078_2019-09-24_final
2019-10-06 10:49:22	ga_ls8c_ard_3-1-0_105074_2019-10-06_final
2019-11-17 11:24:50	ga_ls8c_ard_3-1-0_111070_2019-11-17_final
2019-12-11 10:38:09	ga_ls8c_ard_3-1-0_103077_2019-12-11_final
2020-01-02 10:01:46	ga_ls8c_ard_3-1-0_097079_2020-01-02_final
2020-04-18 11:23:28	ga_ls8c_ard_3-1-0_110084_2020-04-18_final
2020-06-04 10:36:10	ga_ls8c_ard_3-1-0_103074_2020-06-04_final
2020-07-03 10:07:08	ga_ls8c_ard_3-1-0_098078_2020-07-03_final
2020-07-26 10:15:26	ga_ls8c_ard_3-1-0_099083_2020-07-26_final
2020-08-04 10:03:18	ga_ls8c_ard_3-1-0_098068_2020-08-04_final
2020-09-15 09:06:59	ga_ls8c_ard_3-1-0_088081_2020-09-14_final
2021-05-07 11:17:24	ga_ls8c_ard_3-2-0_110069_2021-05-07_final
2021-06-28 09:21:23	ga_ls8c_ard_3-2-0_090087_2021-06-27_final
2021-07-07 10:49:18	ga_ls8c_ard_3-2-0_105075_2021-07-07_final
2021-08-03 10:30:32	ga_ls8c_ard_3-2-0_102074_2021-08-03_final
2021-08-04 11:17:48	ga_ls8c_ard_3-2-0_109084_2021-08-04_final
2021-08-13 09:29:36	ga_ls8c_ard_3-2-0_092076_2021-08-12_final
2021-08-29 09:32:04	ga_ls8c_ard_3-2-0_092082_2021-08-29_final
2021-09-14 11:08:13	ga_ls8c_ard_3-2-0_108075_2021-09-14_final
2021-09-20 10:29:10	ga_ls8c_ard_3-2-0_102070_2021-09-20_final
2021-11-13 11:31:02	ga_ls8c_ard_3-2-0_112070_2021-11-13_final
2022-01-09 11:26:19	ga_ls8c_ard_3-2-1_111074_2022-01-09_final
2022-04-05 10:52:21	ga_ls8c_ard_3-2-1_105083_2022-04-05_final
2022-04-26 11:07:19	ga_ls8c_ard_3-2-1_108074_2022-04-26_final
2022-05-05 09:21:55	ga_ls8c_ard_3-2-1_091073_2022-05-04_final
2022-07-04 09:52:38	ga_ls8c_ard_3-2-1_095087_2022-07-04_final
2022-08-29 10:36:23	ga_ls8c_ard_3-2-1_103072_2022-08-29_final
2022-09-15 09:43:39	ga_ls8c_ard_3-2-1_094079_2022-09-15_final
2022-09-29 11:32:54	ga_ls8c_ard_3-2-1_112074_2022-09-29_final
2022-09-30 10:40:05	ga_ls8c_ard_3-2-1_103081_2022-09-30_final
2022-10-15 09:58:41	ga_ls8c_ard_3-2-1_096086_2022-10-15_final
2023-01-14 11:14:27	ga_ls8c_ard_3-2-1_109075_2023-01-14_final
2023-02-24 11:10:01	ga_ls8c_ard_3-2-1_108080_2023-02-24_final
2023-03-21 09:23:10	ga_ls8c_ard_3-2-1_091076_2023-03-20_final
2023-05-31 11:10:27	ga_ls8c_ard_3-2-1_108083_2023-05-31_final
2023-07-04 10:55:13	ga_ls8c_ard_3-2-1_106075_2023-07-04_final
2023-07-05 11:38:06	ga_ls8c_ard_3-2-1_113074_2023-07-05_final
2023-08-27 10:18:06	ga_ls8c_ard_3-2-1_100074_2023-08-27_final
2023-11-13 10:28:38	ga_ls8c_ard_3-2-1_102069_2023-11-13_final
2023-12-10 11:52:32	ga_ls8c_ard_3-2-1_115078_2023-12-10_final
2023-12-27 09:17:41	ga_ls8c_ard_3-2-1_090077_2023-12-26_final
2024-02-14 09:57:15	ga_ls8c_ard_3-2-1_097068_2024-02-14_final
2024-02-14 10:04:02	ga_ls8c_ard_3-2-1_097085_2024-02-14_final
2024-03-02 09:06:41	ga_ls8c_ard_3-2-1_088081_2024-03-01_final
2024-03-30 11:07:09	ga_ls8c_ard_3-2-1_108074_2024-03-30_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