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
2013-05-22 11:39:41	ga_ls8c_ard_3-0-0_113072_2013-05-22_final
2013-08-19 11:33:53	ga_ls8c_ard_3-0-0_112073_2013-08-19_final
2014-02-06 11:13:31	ga_ls8c_ard_3-0-0_109071_2014-02-06_final
2014-02-20 11:24:53	ga_ls8c_ard_3-0-0_111069_2014-02-20_final
2014-11-28 11:18:30	ga_ls8c_ard_3-0-0_110070_2014-11-28_final
2015-02-04 10:52:43	ga_ls8c_ard_3-0-0_106068_2015-02-04_final
2015-07-24 11:31:52	ga_ls8c_ard_3-0-0_112074_2015-07-24_final
2015-10-28 11:32:22	ga_ls8c_ard_3-0-0_112074_2015-10-28_final
2016-04-03 11:41:29	ga_ls8c_ard_3-0-0_114067_2016-04-03_final
2016-06-29 11:51:02	ga_ls8c_ard_3-0-0_115075_2016-06-29_final
2016-08-29 11:18:05	ga_ls8c_ard_3-0-0_110069_2016-08-29_final
2016-10-02 11:10:59	ga_ls8c_ard_3-0-0_108082_2016-10-02_final
2017-05-03 11:23:46	ga_ls8c_ard_3-0-0_111070_2017-05-03_final
2017-07-02 11:52:11	ga_ls8c_ard_3-0-0_115078_2017-07-02_final
2017-07-15 11:23:43	ga_ls8c_ard_3-0-0_110084_2017-07-15_final
2017-10-01 11:31:42	ga_ls8c_ard_3-0-0_112072_2017-10-01_final
2017-11-17 10:46:51	ga_ls8c_ard_3-0-0_105068_2017-11-17_final
2018-05-19 10:57:20	ga_ls8c_ard_3-0-0_106082_2018-05-19_final
2018-08-26 11:24:00	ga_ls8c_ard_3-0-0_111070_2018-08-26_final
2018-11-21 11:30:36	ga_ls8c_ard_3-0-0_112070_2018-11-21_final
2019-01-26 11:16:54	ga_ls8c_ard_3-0-0_110067_2019-01-26_final
2019-02-24 10:49:07	ga_ls8c_ard_3-0-0_105075_2019-02-24_final
2019-08-06 11:18:24	ga_ls8c_ard_3-1-0_110070_2019-08-06_final
2019-12-11 10:39:45	ga_ls8c_ard_3-1-0_103081_2019-12-11_final
2020-01-19 10:46:10	ga_ls8c_ard_3-1-0_104082_2020-01-19_final
2020-03-14 10:48:52	ga_ls8c_ard_3-1-0_105074_2020-03-14_final
2020-06-19 11:29:33	ga_ls8c_ard_3-1-0_112068_2020-06-19_final
2020-09-07 11:31:40	ga_ls8c_ard_3-1-0_112072_2020-09-07_final
2020-11-27 10:39:46	ga_ls8c_ard_3-1-0_103081_2020-11-27_final
2021-01-05 10:46:16	ga_ls8c_ard_3-2-0_104082_2021-01-05_final
2021-02-03 10:11:15	ga_ls8c_ard_3-2-0_099072_2021-02-03_final
2021-02-03 10:13:39	ga_ls8c_ard_3-2-0_099078_2021-02-03_final
2021-02-19 10:09:35	ga_ls8c_ard_3-2-0_099068_2021-02-19_final
2021-03-11 11:23:11	ga_ls8c_ard_3-2-0_111067_2021-03-11_final
2021-05-02 12:36:59	ga_ls8c_ard_3-2-1_123067_2021-05-02_final
2021-05-05 09:50:05	ga_ls8c_ard_3-2-0_096067_2021-05-05_final
2021-05-10 10:13:26	ga_ls8c_ard_3-2-0_099079_2021-05-10_final
2021-06-03 09:28:14	ga_ls8c_ard_3-2-0_091089_2021-06-02_final
2021-07-17 09:51:55	ga_ls8c_ard_3-2-0_095086_2021-07-17_final
2021-07-19 09:39:34	ga_ls8c_ard_3-2-0_093086_2021-07-19_final
2021-07-20 10:19:39	ga_ls8c_ard_3-2-0_100078_2021-07-20_final
2021-07-28 09:33:28	ga_ls8c_ard_3-2-0_092086_2021-07-28_final
2021-08-02 11:24:09	ga_ls8c_ard_3-2-0_111069_2021-08-02_final
2021-08-25 11:30:04	ga_ls8c_ard_3-2-0_112068_2021-08-25_final
2021-08-25 11:32:03	ga_ls8c_ard_3-2-0_112073_2021-08-25_final
2021-10-16 09:28:17	ga_ls8c_ard_3-2-0_092072_2021-10-15_final
2021-11-02 10:09:57	ga_ls8c_ard_3-2-0_099068_2021-11-02_final
2021-11-09 11:57:47	ga_ls8c_ard_3-2-0_116075_2021-11-09_final
2022-01-14 10:04:22	ga_ls8c_ard_3-2-1_098070_2022-01-14_final
2022-01-16 11:32:05	ga_ls8c_ard_3-2-1_112073_2022-01-16_final
2022-01-26 10:29:49	ga_ls8c_ard_3-2-1_102072_2022-01-26_final
2022-01-31 09:10:39	ga_ls8c_ard_3-2-1_089075_2022-01-30_final
2022-02-07 10:53:19	ga_ls8c_ard_3-2-1_106069_2022-02-07_final
2022-03-02 09:27:17	ga_ls8c_ard_3-2-1_091086_2022-03-01_final
2022-04-14 09:07:22	ga_ls8c_ard_3-2-1_088083_2022-04-13_final
2022-04-26 09:34:02	ga_ls8c_ard_3-2-1_092088_2022-04-26_final
2022-05-15 11:41:58	ga_ls8c_ard_3-2-1_113083_2022-05-15_final
2022-06-06 09:27:20	ga_ls8c_ard_3-2-1_091086_2022-06-05_final
2022-06-11 09:40:21	ga_ls8c_ard_3-2-1_094072_2022-06-11_final
2022-06-20 09:40:14	ga_ls8c_ard_3-2-1_093087_2022-06-20_final
2022-06-21 10:17:07	ga_ls8c_ard_3-2-1_100071_2022-06-21_final
2022-07-14 10:25:42	ga_ls8c_ard_3-2-1_101077_2022-07-14_final
2022-07-16 10:10:33	ga_ls8c_ard_3-2-1_099070_2022-07-16_final
2022-07-20 09:52:16	ga_ls8c_ard_3-2-1_095086_2022-07-20_final
2022-10-04 10:14:32	ga_ls8c_ard_3-2-1_099079_2022-10-04_final
2022-11-13 09:23:27	ga_ls8c_ard_3-2-1_091075_2022-11-12_final
2022-11-27 09:39:47	ga_ls8c_ard_3-2-1_093085_2022-11-27_final
2022-11-29 09:23:26	ga_ls8c_ard_3-2-1_091075_2022-11-28_final
2022-11-29 09:29:26	ga_ls8c_ard_3-2-1_091090_2022-11-28_final
2022-12-30 10:20:07	ga_ls8c_ard_3-2-1_100078_2022-12-30_final
2023-01-09 09:17:29	ga_ls8c_ard_3-2-1_090076_2023-01-08_final
2023-02-11 09:57:53	ga_ls8c_ard_3-2-1_097069_2023-02-11_final
2023-03-22 10:02:49	ga_ls8c_ard_3-2-1_098067_2023-03-22_final
2023-03-29 10:08:32	ga_ls8c_ard_3-2-1_099066_2023-03-29_final
2023-03-29 10:09:20	ga_ls8c_ard_3-2-1_099068_2023-03-29_final
2023-04-05 10:19:24	ga_ls8c_ard_3-2-1_100078_2023-04-05_final
2023-04-14 10:13:28	ga_ls8c_ard_3-2-1_099079_2023-04-14_final
2023-05-02 09:56:38	ga_ls8c_ard_3-2-1_097068_2023-05-02_final
2023-05-07 10:19:06	ga_ls8c_ard_3-2-1_100078_2023-05-07_final
2023-05-26 09:11:25	ga_ls8c_ard_3-2-1_089079_2023-05-25_final
2023-06-03 11:41:46	ga_ls8c_ard_3-2-1_113084_2023-06-03_final
2023-06-26 10:02:29	ga_ls8c_ard_3-2-1_098067_2023-06-26_final
2023-07-19 10:08:50	ga_ls8c_ard_3-2-1_099067_2023-07-19_final
2023-08-21 10:52:22	ga_ls8c_ard_3-2-1_106067_2023-08-21_final
2023-08-31 11:31:28	ga_ls8c_ard_3-2-1_112072_2023-08-31_final
2023-09-22 09:16:46	ga_ls8c_ard_3-2-1_090075_2023-09-21_final
2023-09-30 10:03:04	ga_ls8c_ard_3-2-1_098067_2023-09-30_final
2023-10-07 10:13:39	ga_ls8c_ard_3-2-1_099078_2023-10-07_final
2023-11-09 09:17:14	ga_ls8c_ard_3-2-1_090076_2023-11-08_final
2023-11-26 09:57:49	ga_ls8c_ard_3-2-1_097069_2023-11-26_final
2023-11-30 09:33:51	ga_ls8c_ard_3-2-1_093071_2023-11-30_final
2023-12-04 09:16:15	ga_ls8c_ard_3-2-1_089089_2023-12-03_final
2023-12-28 09:58:33	ga_ls8c_ard_3-2-1_097071_2023-12-28_final
2023-12-29 09:06:30	ga_ls8c_ard_3-2-1_088080_2023-12-28_final
2023-12-29 09:06:54	ga_ls8c_ard_3-2-1_088081_2023-12-28_final
2024-01-01 09:34:34	ga_ls8c_ard_3-2-1_093073_2024-01-01_final
2024-02-07 11:32:22	ga_ls8c_ard_3-2-1_112074_2024-02-07_final
2024-02-12 11:51:18	ga_ls8c_ard_3-2-1_115075_2024-02-12_final
2024-02-21 10:07:24	ga_ls8c_ard_3-2-1_098078_2024-02-21_final
2024-03-23 09:22:12	ga_ls8c_ard_3-2-1_091074_2024-03-22_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