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
2013-05-20 11:52:50	ga_ls8c_ard_3-0-0_115074_2013-05-20_final
2013-10-25 10:29:14	ga_ls8c_ard_3-0-0_101082_2013-10-25_final
2013-11-10 10:25:37	ga_ls8c_ard_3-0-0_101073_2013-11-10_final
2013-12-26 10:35:41	ga_ls8c_ard_3-0-0_103068_2013-12-26_final
2014-02-10 10:47:32	ga_ls8c_ard_3-0-0_105068_2014-02-10_final
2014-02-21 10:29:39	ga_ls8c_ard_3-0-0_102070_2014-02-21_final
2014-03-05 10:54:09	ga_ls8c_ard_3-0-0_106070_2014-03-05_final
2014-04-27 11:17:08	ga_ls8c_ard_3-0-0_109083_2014-04-27_final
2014-12-24 10:18:13	ga_ls8c_ard_3-0-0_100074_2014-12-24_final
2015-01-22 11:24:27	ga_ls8c_ard_3-0-0_111070_2015-01-22_final
2015-04-08 10:08:54	ga_ls8c_ard_3-0-0_099068_2015-04-08_final
2015-04-08 10:12:30	ga_ls8c_ard_3-0-0_099077_2015-04-08_final
2015-05-19 10:01:59	ga_ls8c_ard_3-0-0_098067_2015-05-19_final
2015-07-13 10:15:51	ga_ls8c_ard_3-0-0_099085_2015-07-13_final
2015-09-01 11:35:28	ga_ls8c_ard_3-0-0_113067_2015-09-01_final
2015-10-30 11:18:01	ga_ls8c_ard_3-0-0_110069_2015-10-30_final
2015-11-20 11:37:47	ga_ls8c_ard_3-0-0_113072_2015-11-20_final
2016-02-08 09:56:47	ga_ls8c_ard_3-0-0_097067_2016-02-08_final
2016-07-03 11:25:57	ga_ls8c_ard_3-0-0_111074_2016-07-03_final
2016-07-24 10:07:20	ga_ls8c_ard_3-0-0_098078_2016-07-24_final
2016-08-16 10:10:00	ga_ls8c_ard_3-0-0_099069_2016-08-16_final
2016-09-26 10:07:34	ga_ls8c_ard_3-0-0_098078_2016-09-26_final
2016-09-29 10:39:16	ga_ls8c_ard_3-0-0_103080_2016-09-29_final
2016-12-22 10:11:22	ga_ls8c_ard_3-0-0_099072_2016-12-22_final
2017-01-18 11:32:25	ga_ls8c_ard_3-0-0_112074_2017-01-18_final
2017-03-15 10:45:44	ga_ls8c_ard_3-0-0_104082_2017-03-15_final
2017-05-06 10:18:13	ga_ls8c_ard_3-0-0_100076_2017-05-06_final
2017-09-04 10:16:01	ga_ls8c_ard_3-0-0_099084_2017-09-04_final
2017-09-06 09:57:17	ga_ls8c_ard_3-0-0_097068_2017-09-06_final
2017-10-29 10:20:00	ga_ls8c_ard_3-0-0_100078_2017-10-29_final
2017-11-22 11:05:45	ga_ls8c_ard_3-0-0_108069_2017-11-22_final
2017-12-16 11:58:22	ga_ls8c_ard_3-0-0_116077_2017-12-16_final
2018-01-17 11:58:37	ga_ls8c_ard_3-0-0_116078_2018-01-17_final
2018-02-12 10:53:49	ga_ls8c_ard_3-0-0_106071_2018-02-12_final
2018-03-08 10:08:58	ga_ls8c_ard_3-0-0_098083_2018-03-08_final
2018-04-25 10:08:57	ga_ls8c_ard_3-0-0_098084_2018-04-25_final
2018-08-28 11:14:03	ga_ls8c_ard_3-0-0_109076_2018-08-28_final
2018-08-31 10:07:17	ga_ls8c_ard_3-0-0_098079_2018-08-31_final
2018-09-27 11:23:48	ga_ls8c_ard_3-0-0_111069_2018-09-27_final
2018-11-07 11:17:50	ga_ls8c_ard_3-0-0_110069_2018-11-07_final
2018-12-09 11:19:47	ga_ls8c_ard_3-0-0_110074_2018-12-09_final
2018-12-21 11:45:18	ga_ls8c_ard_3-0-0_114076_2018-12-21_final
2018-12-27 11:07:49	ga_ls8c_ard_3-0-0_108075_2018-12-27_final
2019-02-14 10:10:52	ga_ls8c_ard_3-0-0_099072_2019-02-14_final
2019-03-22 11:25:40	ga_ls8c_ard_3-1-0_111074_2019-03-22_final
2019-03-28 10:48:58	ga_ls8c_ard_3-1-0_105075_2019-03-28_final
2019-03-30 10:35:24	ga_ls8c_ard_3-1-0_103072_2019-03-30_final
2019-05-20 11:07:10	ga_ls8c_ard_3-0-0_108074_2019-05-20_final
2019-05-23 11:41:41	ga_ls8c_ard_3-0-0_113083_2019-05-23_final
2019-07-04 10:35:46	ga_ls8c_ard_3-1-0_103072_2019-07-04_final
2019-08-04 11:30:21	ga_ls8c_ard_3-1-0_112069_2019-08-04_final
2019-08-21 10:36:00	ga_ls8c_ard_3-1-0_103072_2019-08-21_final
2019-11-01 11:30:04	ga_ls8c_ard_3-1-0_111083_2019-11-01_final
2020-01-01 10:55:00	ga_ls8c_ard_3-1-0_106073_2020-01-01_final
2020-03-22 09:58:34	ga_ls8c_ard_3-1-0_097072_2020-03-22_final
2020-04-16 11:31:04	ga_ls8c_ard_3-1-0_112072_2020-04-16_final
2020-04-30 10:03:13	ga_ls8c_ard_3-1-0_098069_2020-04-30_final
2020-09-22 10:50:05	ga_ls8c_ard_3-1-0_105076_2020-09-22_final
2020-11-15 10:11:00	ga_ls8c_ard_3-1-0_099071_2020-11-15_final
2020-11-17 11:42:20	ga_ls8c_ard_3-1-0_113083_2020-11-17_final
2021-02-03 10:13:39	ga_ls8c_ard_3-2-0_099078_2021-02-03_final
2021-03-16 10:04:23	ga_ls8c_ard_3-2-0_098071_2021-03-16_final
2021-04-19 09:50:15	ga_ls8c_ard_3-2-0_096067_2021-04-19_final
2021-04-28 09:45:59	ga_ls8c_ard_3-2-0_095072_2021-04-28_final
2021-05-04 09:15:37	ga_ls8c_ard_3-2-0_089089_2021-05-03_final
2021-07-01 11:25:35	ga_ls8c_ard_3-2-0_111073_2021-07-01_final
2021-07-12 09:28:34	ga_ls8c_ard_3-2-0_092074_2021-07-11_final
2021-07-23 10:48:35	ga_ls8c_ard_3-2-0_105073_2021-07-23_final
2021-10-21 11:24:55	ga_ls8c_ard_3-2-0_111070_2021-10-21_final
2021-11-26 09:25:14	ga_ls8c_ard_3-2-0_091080_2021-11-25_final
2021-11-30 10:36:12	ga_ls8c_ard_3-2-0_103072_2021-11-30_final
2022-01-23 10:00:32	ga_ls8c_ard_3-2-1_097076_2022-01-23_final
2022-03-02 09:21:42	ga_ls8c_ard_3-2-1_091072_2022-03-01_final
2022-03-26 10:12:55	ga_ls8c_ard_3-2-1_099077_2022-03-26_final
2022-08-05 09:52:03	ga_ls8c_ard_3-2-1_095085_2022-08-05_final
2022-10-07 10:46:36	ga_ls8c_ard_3-2-1_104082_2022-10-07_final
2022-10-17 11:18:51	ga_ls8c_ard_3-2-1_110070_2022-10-17_final
2022-12-08 10:53:44	ga_ls8c_ard_3-2-1_106069_2022-12-08_final
2023-02-08 11:08:18	ga_ls8c_ard_3-2-1_108075_2023-02-08_final
2023-02-22 11:19:14	ga_ls8c_ard_3-2-1_110072_2023-02-22_final
2023-05-08 09:22:15	ga_ls8c_ard_3-2-1_091075_2023-05-07_final
2023-05-25 10:02:39	ga_ls8c_ard_3-2-1_098068_2023-05-25_final
2023-06-17 10:13:23	ga_ls8c_ard_3-2-1_099079_2023-06-17_final
2023-07-27 09:21:52	ga_ls8c_ard_3-2-1_091073_2023-07-26_final
2023-08-08 11:24:45	ga_ls8c_ard_3-2-1_111071_2023-08-08_final
2023-08-11 10:17:09	ga_ls8c_ard_3-2-1_100072_2023-08-11_final
2023-08-24 11:23:41	ga_ls8c_ard_3-2-1_111068_2023-08-24_final
2023-10-06 09:27:58	ga_ls8c_ard_3-2-1_092072_2023-10-05_final
2023-10-20 11:21:14	ga_ls8c_ard_3-2-1_110077_2023-10-20_final
2023-11-07 09:34:25	ga_ls8c_ard_3-2-1_092088_2023-11-07_final
2023-11-10 11:37:46	ga_ls8c_ard_3-2-1_113072_2023-11-10_final
2023-11-18 09:16:44	ga_ls8c_ard_3-2-1_089090_2023-11-17_final
2023-11-25 09:21:44	ga_ls8c_ard_3-2-1_090087_2023-11-24_final
2023-12-04 09:15:03	ga_ls8c_ard_3-2-1_089086_2023-12-03_final
2023-12-24 10:28:05	ga_ls8c_ard_3-2-1_101083_2023-12-24_final
2024-01-01 11:14:15	ga_ls8c_ard_3-2-1_109075_2024-01-01_final
2024-02-20 11:00:14	ga_ls8c_ard_3-2-1_107071_2024-02-20_final
2024-03-21 11:13:28	ga_ls8c_ard_3-2-1_109074_2024-03-21_final
2024-03-31 10:09:08	ga_ls8c_ard_3-2-1_099068_2024-03-31_final
2024-03-31 10:09:32	ga_ls8c_ard_3-2-1_099069_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years