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
2013-12-04 11:16:09	ga_ls8c_ard_3-0-0_109076_2013-12-04_final
2014-01-04 10:29:26	ga_ls8c_ard_3-0-0_102068_2014-01-04_final
2014-05-25 11:40:45	ga_ls8c_ard_3-0-0_113081_2014-05-25_final
2014-09-23 11:35:57	ga_ls8c_ard_3-0-0_112083_2014-09-23_final
2014-12-01 11:53:00	ga_ls8c_ard_3-0-0_115079_2014-12-01_final
2015-05-20 10:48:27	ga_ls8c_ard_3-0-0_105075_2015-05-20_final
2015-06-15 11:24:58	ga_ls8c_ard_3-0-0_111073_2015-06-15_final
2015-09-19 11:26:03	ga_ls8c_ard_3-0-0_111074_2015-09-19_final
2015-10-15 10:27:29	ga_ls8c_ard_3-0-0_101082_2015-10-15_final
2016-01-05 11:52:05	ga_ls8c_ard_3-0-0_115077_2016-01-05_final
2016-01-22 10:54:04	ga_ls8c_ard_3-0-0_106071_2016-01-22_final
2016-02-16 10:52:07	ga_ls8c_ard_3-0-0_105082_2016-02-16_final
2016-03-25 11:51:44	ga_ls8c_ard_3-0-0_115077_2016-03-25_final
2016-06-26 11:18:06	ga_ls8c_ard_3-0-0_110070_2016-06-26_final
2017-03-25 11:23:31	ga_ls8c_ard_3-0-0_110084_2017-03-25_final
2017-04-24 11:30:02	ga_ls8c_ard_3-0-0_112070_2017-04-24_final
2017-06-04 11:23:19	ga_ls8c_ard_3-0-0_111068_2017-06-04_final
2017-08-08 10:28:29	ga_ls8c_ard_3-0-0_102069_2017-08-08_final
2017-08-14 11:34:42	ga_ls8c_ard_3-0-0_112080_2017-08-14_final
2017-10-09 10:43:54	ga_ls8c_ard_3-0-0_104076_2017-10-09_final
2017-10-19 11:20:12	ga_ls8c_ard_3-0-0_110074_2017-10-19_final
2018-01-20 10:49:01	ga_ls8c_ard_3-0-0_105074_2018-01-20_final
2018-01-22 10:39:25	ga_ls8c_ard_3-0-0_103081_2018-01-22_final
2018-05-27 11:40:41	ga_ls8c_ard_3-0-0_114067_2018-05-27_final
2018-06-07 11:24:29	ga_ls8c_ard_3-0-0_111073_2018-06-07_final
2018-11-10 11:52:44	ga_ls8c_ard_3-0-0_115079_2018-11-10_final
2019-01-08 11:32:07	ga_ls8c_ard_3-0-0_112074_2019-01-08_final
2019-03-03 10:55:15	ga_ls8c_ard_3-0-0_106075_2019-03-03_final
2019-04-03 11:52:20	ga_ls8c_ard_3-1-0_115079_2019-04-03_final
2019-05-18 11:18:42	ga_ls8c_ard_3-0-0_110072_2019-05-18_final
2019-06-18 10:39:17	ga_ls8c_ard_3-1-0_103081_2019-06-18_final
2019-11-07 10:50:11	ga_ls8c_ard_3-1-0_105076_2019-11-07_final
2019-11-17 11:27:13	ga_ls8c_ard_3-1-0_111076_2019-11-17_final
2020-01-04 11:23:30	ga_ls8c_ard_3-1-0_111067_2020-01-04_final
2020-01-05 10:30:16	ga_ls8c_ard_3-1-0_102073_2020-01-05_final
2020-01-11 11:30:28	ga_ls8c_ard_3-1-0_112069_2020-01-11_final
2020-01-19 10:42:59	ga_ls8c_ard_3-1-0_104074_2020-01-19_final
2020-01-28 10:35:57	ga_ls8c_ard_3-1-0_103072_2020-01-28_final
2020-02-07 11:14:59	ga_ls8c_ard_3-1-0_109077_2020-02-07_final
2020-03-07 10:40:21	ga_ls8c_ard_3-1-0_104068_2020-03-07_final
2020-04-02 11:18:47	ga_ls8c_ard_3-1-0_110072_2020-04-02_final
2020-05-15 11:04:22	ga_ls8c_ard_3-1-0_107083_2020-05-15_final
2020-05-29 11:17:11	ga_ls8c_ard_3-1-0_109084_2020-05-29_final
2020-07-02 11:04:45	ga_ls8c_ard_3-1-0_107083_2020-07-02_final
2020-10-12 10:25:01	ga_ls8c_ard_3-1-0_101075_2020-10-12_final
2020-12-16 09:31:00	ga_ls8c_ard_3-1-0_092079_2020-12-16_final
2020-12-25 11:00:29	ga_ls8c_ard_3-2-0_107071_2020-12-25_final
2021-01-17 09:26:25	ga_ls8c_ard_3-2-0_092068_2021-01-16_final
2021-01-20 09:58:06	ga_ls8c_ard_3-2-0_097070_2021-01-20_final
2021-02-06 09:06:51	ga_ls8c_ard_3-2-0_088081_2021-02-05_final
2021-02-20 10:58:25	ga_ls8c_ard_3-2-0_106082_2021-02-20_final
2021-03-23 10:09:44	ga_ls8c_ard_3-2-0_099069_2021-03-23_final
2021-05-27 09:21:35	ga_ls8c_ard_3-2-0_090088_2021-05-26_final
2021-05-30 11:23:25	ga_ls8c_ard_3-2-0_111068_2021-05-30_final
2021-05-30 11:24:13	ga_ls8c_ard_3-2-0_111070_2021-05-30_final
2021-07-05 09:22:47	ga_ls8c_ard_3-2-0_091075_2021-07-04_final
2021-07-12 09:34:33	ga_ls8c_ard_3-2-0_092089_2021-07-12_final
2021-07-20 11:57:20	ga_ls8c_ard_3-2-0_116075_2021-07-20_final
2021-07-20 11:57:44	ga_ls8c_ard_3-2-0_116076_2021-07-20_final
2021-08-02 09:47:16	ga_ls8c_ard_3-2-0_095074_2021-08-02_final
2021-08-13 09:33:59	ga_ls8c_ard_3-2-0_092087_2021-08-13_final
2021-09-28 11:24:38	ga_ls8c_ard_3-2-0_110085_2021-09-28_final
2021-10-12 11:30:17	ga_ls8c_ard_3-2-0_112068_2021-10-12_final
2021-11-19 09:17:26	ga_ls8c_ard_3-2-0_090076_2021-11-18_final
2021-11-19 10:55:55	ga_ls8c_ard_3-2-0_106075_2021-11-19_final
2021-12-01 09:40:11	ga_ls8c_ard_3-2-0_094071_2021-12-01_final
2021-12-17 11:24:14	ga_ls8c_ard_3-2-1_110084_2021-12-17_final
2021-12-28 11:00:50	ga_ls8c_ard_3-2-1_107072_2021-12-28_final
2022-01-02 09:46:27	ga_ls8c_ard_3-2-1_094087_2022-01-02_final
2022-01-07 11:37:53	ga_ls8c_ard_3-2-1_113072_2022-01-07_final
2022-01-28 10:22:14	ga_ls8c_ard_3-2-1_100084_2022-01-28_final
2022-02-01 09:57:55	ga_ls8c_ard_3-2-1_096085_2022-02-01_final
2022-02-28 09:34:28	ga_ls8c_ard_3-2-1_093073_2022-02-28_final
2022-04-26 09:34:02	ga_ls8c_ard_3-2-1_092088_2022-04-26_final
2022-05-12 11:09:27	ga_ls8c_ard_3-2-1_108079_2022-05-12_final
2022-06-11 11:19:38	ga_ls8c_ard_3-2-1_110073_2022-06-11_final
2022-07-10 09:13:33	ga_ls8c_ard_3-2-1_089082_2022-07-09_final
2022-10-15 09:56:41	ga_ls8c_ard_3-2-1_096081_2022-10-15_final
2022-12-07 11:53:21	ga_ls8c_ard_3-2-1_115079_2022-12-07_final
2023-01-11 10:46:23	ga_ls8c_ard_3-2-1_104082_2023-01-11_final
2023-01-21 11:19:50	ga_ls8c_ard_3-2-1_110073_2023-01-21_final
2023-02-17 09:28:18	ga_ls8c_ard_3-2-1_091088_2023-02-16_final
2023-03-10 11:19:53	ga_ls8c_ard_3-2-1_110074_2023-03-10_final
2023-07-29 09:13:56	ga_ls8c_ard_3-2-1_089084_2023-07-28_final
2023-08-26 11:17:43	ga_ls8c_ard_3-2-1_109084_2023-08-26_final
2023-10-07 11:51:20	ga_ls8c_ard_3-2-1_115075_2023-10-07_final
2023-10-12 10:28:14	ga_ls8c_ard_3-2-1_102068_2023-10-12_final
2023-10-30 10:18:19	ga_ls8c_ard_3-2-1_100074_2023-10-30_final
2023-11-08 10:10:29	ga_ls8c_ard_3-2-1_099070_2023-11-08_final
2023-11-16 11:00:22	ga_ls8c_ard_3-2-1_107071_2023-11-16_final
2023-11-28 09:50:38	ga_ls8c_ard_3-2-1_095082_2023-11-28_final
2023-12-08 10:25:11	ga_ls8c_ard_3-2-1_101076_2023-12-08_final
2023-12-14 11:25:52	ga_ls8c_ard_3-2-1_111073_2023-12-14_final
2024-01-09 10:23:35	ga_ls8c_ard_3-2-1_101072_2024-01-09_final
2024-01-18 10:21:48	ga_ls8c_ard_3-2-1_100083_2024-01-18_final
2024-01-21 10:47:06	ga_ls8c_ard_3-2-1_105069_2024-01-21_final
2024-01-31 11:24:56	ga_ls8c_ard_3-2-1_111071_2024-01-31_final
2024-02-25 11:18:45	ga_ls8c_ard_3-2-1_110071_2024-02-25_final
2024-03-09 09:12:22	ga_ls8c_ard_3-2-1_089080_2024-03-08_final
2024-03-09 10:46:28	ga_ls8c_ard_3-2-1_105068_2024-03-09_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