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
2013-04-01 11:49:01	ga_ls8c_ard_3-0-0_114074_2013-04-01_final
2013-12-07 11:43:27	ga_ls8c_ard_3-0-0_114067_2013-12-07_final
2014-04-14 11:45:49	ga_ls8c_ard_3-0-0_114077_2014-04-14_final
2014-06-19 11:35:34	ga_ls8c_ard_3-0-0_112083_2014-06-19_final
2015-03-09 11:35:19	ga_ls8c_ard_3-0-0_113067_2015-03-09_final
2015-08-30 11:51:48	ga_ls8c_ard_3-0-0_115077_2015-08-30_final
2015-11-20 11:37:47	ga_ls8c_ard_3-0-0_113072_2015-11-20_final
2016-08-25 11:41:59	ga_ls8c_ard_3-0-0_114067_2016-08-25_final
2017-01-23 11:51:19	ga_ls8c_ard_3-0-0_115075_2017-01-23_final
2018-08-15 11:46:51	ga_ls8c_ard_3-0-0_114081_2018-08-15_final
2019-10-04 12:37:49	ga_ls8c_ard_3-2-1_123067_2019-10-04_final
2019-12-14 09:29:21	ga_ls8c_ard_3-2-0_092075_2019-12-13_final
2019-12-15 10:14:37	ga_ls8c_ard_3-2-0_099080_2019-12-15_final
2019-12-19 11:25:10	ga_ls8c_ard_3-2-0_111071_2019-12-19_final
2020-02-01 10:08:49	ga_ls8c_ard_3-2-1_099066_2020-02-01_final
2020-03-06 11:41:58	ga_ls8c_ard_3-1-0_113083_2020-03-06_final
2020-12-21 11:26:49	ga_ls8c_ard_3-2-0_111075_2020-12-21_final
2020-12-25 11:00:29	ga_ls8c_ard_3-2-0_107071_2020-12-25_final
2020-12-28 11:30:58	ga_ls8c_ard_3-2-0_112070_2020-12-28_final
2021-01-19 10:53:20	ga_ls8c_ard_3-2-0_106069_2021-01-19_final
2021-01-29 09:53:07	ga_ls8c_ard_3-2-0_096073_2021-01-29_final
2021-01-30 10:34:23	ga_ls8c_ard_3-2-0_103068_2021-01-30_final
2021-02-04 09:17:13	ga_ls8c_ard_3-2-0_090076_2021-02-03_final
2021-02-13 10:50:41	ga_ls8c_ard_3-2-0_105078_2021-02-13_final
2021-02-17 10:25:33	ga_ls8c_ard_3-2-0_101077_2021-02-17_final
2021-02-27 09:22:53	ga_ls8c_ard_3-2-0_091075_2021-02-26_final
2021-03-25 10:03:21	ga_ls8c_ard_3-2-0_097084_2021-03-25_final
2021-04-15 11:57:29	ga_ls8c_ard_3-2-0_116076_2021-04-15_final
2021-04-16 09:21:46	ga_ls8c_ard_3-2-0_091073_2021-04-15_final
2021-05-01 11:57:44	ga_ls8c_ard_3-2-0_116077_2021-05-01_final
2021-05-02 09:22:25	ga_ls8c_ard_3-2-0_091075_2021-05-01_final
2021-05-09 09:25:23	ga_ls8c_ard_3-2-0_092067_2021-05-08_final
2021-05-21 11:31:07	ga_ls8c_ard_3-2-0_112072_2021-05-21_final
2021-05-28 11:37:22	ga_ls8c_ard_3-2-0_113072_2021-05-28_final
2021-06-17 09:34:17	ga_ls8c_ard_3-2-0_093073_2021-06-17_final
2021-07-03 09:39:56	ga_ls8c_ard_3-2-0_093087_2021-07-03_final
2021-07-06 10:07:14	ga_ls8c_ard_3-2-0_098078_2021-07-06_final
2021-07-10 11:20:13	ga_ls8c_ard_3-2-0_110075_2021-07-10_final
2021-07-23 09:14:05	ga_ls8c_ard_3-2-0_089084_2021-07-22_final
2021-08-05 11:57:52	ga_ls8c_ard_3-2-0_116076_2021-08-05_final
2021-09-07 09:22:44	ga_ls8c_ard_3-2-0_091074_2021-09-06_final
2021-09-16 09:22:34	ga_ls8c_ard_3-2-0_090089_2021-09-15_final
2021-09-23 09:25:34	ga_ls8c_ard_3-2-0_091081_2021-09-22_final
2021-10-19 11:38:53	ga_ls8c_ard_3-2-0_113074_2021-10-19_final
2021-10-29 10:36:40	ga_ls8c_ard_3-2-0_103073_2021-10-29_final
2021-11-02 10:15:56	ga_ls8c_ard_3-2-0_099083_2021-11-02_final
2021-11-03 10:53:36	ga_ls8c_ard_3-2-0_106069_2021-11-03_final
2021-12-04 11:53:10	ga_ls8c_ard_3-2-0_115079_2021-12-04_final
2021-12-11 10:20:03	ga_ls8c_ard_3-2-1_100078_2021-12-11_final
2021-12-12 11:05:18	ga_ls8c_ard_3-2-1_107083_2021-12-12_final
2021-12-21 10:53:07	ga_ls8c_ard_3-2-1_106068_2021-12-21_final
2022-01-11 11:14:21	ga_ls8c_ard_3-2-1_109075_2022-01-11_final
2022-01-23 09:57:21	ga_ls8c_ard_3-2-1_097068_2022-01-23_final
2022-02-12 09:39:20	ga_ls8c_ard_3-2-1_093085_2022-02-12_final
2022-03-25 09:28:28	ga_ls8c_ard_3-2-1_092074_2022-03-24_final
2022-04-22 11:31:17	ga_ls8c_ard_3-2-1_112072_2022-04-22_final
2022-05-05 09:24:19	ga_ls8c_ard_3-2-1_091079_2022-05-04_final
2022-05-30 09:22:39	ga_ls8c_ard_3-2-1_090090_2022-05-29_final
2022-06-08 09:12:12	ga_ls8c_ard_3-2-1_089079_2022-06-07_final
2022-07-23 11:58:31	ga_ls8c_ard_3-2-1_116077_2022-07-23_final
2022-08-07 11:15:00	ga_ls8c_ard_3-2-1_109076_2022-08-07_final
2022-08-18 09:17:14	ga_ls8c_ard_3-2-1_090075_2022-08-17_final
2022-08-24 10:17:27	ga_ls8c_ard_3-2-1_100071_2022-08-24_final
2022-09-02 10:09:39	ga_ls8c_ard_3-2-1_099067_2022-09-02_final
2022-09-05 09:06:53	ga_ls8c_ard_3-2-1_088080_2022-09-04_final
2022-09-17 09:28:30	ga_ls8c_ard_3-2-1_092072_2022-09-16_final
2022-09-24 09:34:42	ga_ls8c_ard_3-2-1_093072_2022-09-24_final
2022-09-29 11:35:18	ga_ls8c_ard_3-2-1_112080_2022-09-29_final
2022-10-03 11:07:46	ga_ls8c_ard_3-2-1_108073_2022-10-03_final
2022-10-14 10:49:30	ga_ls8c_ard_3-2-1_105074_2022-10-14_final
2022-10-19 09:29:13	ga_ls8c_ard_3-2-1_092074_2022-10-18_final
2022-10-21 09:22:04	ga_ls8c_ard_3-2-1_090087_2022-10-20_final
2022-11-09 11:26:18	ga_ls8c_ard_3-2-1_111073_2022-11-09_final
2022-11-18 11:24:00	ga_ls8c_ard_3-2-1_110083_2022-11-18_final
2022-12-26 10:44:01	ga_ls8c_ard_3-2-1_104076_2022-12-26_final
2022-12-28 10:31:40	ga_ls8c_ard_3-2-1_102076_2022-12-28_final
2023-01-14 11:12:28	ga_ls8c_ard_3-2-1_109070_2023-01-14_final
2023-01-15 10:18:25	ga_ls8c_ard_3-2-1_100074_2023-01-15_final
2023-02-28 09:06:47	ga_ls8c_ard_3-2-1_088081_2023-02-27_final
2023-03-16 09:06:17	ga_ls8c_ard_3-2-1_088080_2023-03-15_final
2023-03-17 09:51:56	ga_ls8c_ard_3-2-1_095086_2023-03-17_final
2023-03-22 10:04:01	ga_ls8c_ard_3-2-1_098070_2023-03-22_final
2023-03-26 11:19:44	ga_ls8c_ard_3-2-1_110074_2023-03-26_final
2023-04-12 10:25:02	ga_ls8c_ard_3-2-1_101077_2023-04-12_final
2023-06-03 11:37:46	ga_ls8c_ard_3-2-1_113074_2023-06-03_final
2023-07-28 10:09:32	ga_ls8c_ard_3-2-1_098084_2023-07-28_final
2023-09-15 09:11:46	ga_ls8c_ard_3-2-1_089078_2023-09-14_final
2023-09-15 10:49:04	ga_ls8c_ard_3-2-1_105074_2023-09-15_final
2023-10-01 09:11:51	ga_ls8c_ard_3-2-1_089078_2023-09-30_final
2023-10-25 09:58:10	ga_ls8c_ard_3-2-1_097070_2023-10-25_final
2023-11-05 09:40:49	ga_ls8c_ard_3-2-1_094073_2023-11-05_final
2023-11-24 10:14:10	ga_ls8c_ard_3-2-1_099079_2023-11-24_final
2024-01-03 09:26:58	ga_ls8c_ard_3-2-1_091085_2024-01-02_final
2024-01-20 11:47:31	ga_ls8c_ard_3-2-1_114081_2024-01-20_final
2024-01-28 09:21:54	ga_ls8c_ard_3-2-1_090088_2024-01-27_final
2024-02-05 11:47:31	ga_ls8c_ard_3-2-1_114081_2024-02-05_final
2024-02-09 11:24:24	ga_ls8c_ard_3-2-1_110085_2024-02-09_final
2024-02-28 10:13:55	ga_ls8c_ard_3-2-1_099079_2024-02-28_final
2024-02-29 10:55:10	ga_ls8c_ard_3-2-1_106074_2024-02-29_final
2024-03-15 11:51:26	ga_ls8c_ard_3-2-1_115076_2024-03-15_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