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
2014-06-28 11:23:01	ga_ls8c_ard_3-0-0_111067_2014-06-28_final
2014-10-27 11:18:06	ga_ls8c_ard_3-0-0_110069_2014-10-27_final
2015-06-15 11:23:46	ga_ls8c_ard_3-0-0_111070_2015-06-15_final
2015-08-30 11:51:01	ga_ls8c_ard_3-0-0_115075_2015-08-30_final
2015-09-03 11:23:54	ga_ls8c_ard_3-0-0_111069_2015-09-03_final
2015-12-08 11:23:25	ga_ls8c_ard_3-0-0_111067_2015-12-08_final
2015-12-24 11:26:37	ga_ls8c_ard_3-0-0_111075_2015-12-24_final
2016-05-09 11:23:28	ga_ls8c_ard_3-0-0_110084_2016-05-09_final
2017-02-08 11:51:59	ga_ls8c_ard_3-0-0_115077_2017-02-08_final
2017-09-04 11:51:19	ga_ls8c_ard_3-0-0_115075_2017-09-04_final
2017-10-10 11:24:46	ga_ls8c_ard_3-0-0_111070_2017-10-10_final
2017-12-22 11:19:18	ga_ls8c_ard_3-0-0_110072_2017-12-22_final
2018-01-03 11:41:58	ga_ls8c_ard_3-0-0_114067_2018-01-03_final
2018-01-10 11:51:18	ga_ls8c_ard_3-0-0_115075_2018-01-10_final
2018-02-13 11:38:16	ga_ls8c_ard_3-0-0_113074_2018-02-13_final
2018-10-06 11:19:41	ga_ls8c_ard_3-0-0_110074_2018-10-06_final
2019-03-24 11:12:06	ga_ls8c_ard_3-1-0_109071_2019-03-24_final
2019-04-19 11:51:26	ga_ls8c_ard_3-1-0_115077_2019-04-19_final
2019-05-18 11:19:30	ga_ls8c_ard_3-0-0_110074_2019-05-18_final
2019-05-25 11:23:45	ga_ls8c_ard_3-0-0_111069_2019-05-25_final
2019-10-21 11:47:49	ga_ls8c_ard_3-1-0_114081_2019-10-21_final
2019-12-14 09:29:21	ga_ls8c_ard_3-2-0_092075_2019-12-13_final
2019-12-18 09:07:25	ga_ls8c_ard_3-2-0_088082_2019-12-17_final
2020-04-02 11:17:36	ga_ls8c_ard_3-1-0_110069_2020-04-02_final
2020-04-25 11:22:49	ga_ls8c_ard_3-1-0_111067_2020-04-25_final
2020-08-12 09:20:16	ga_ls8c_ard_3-1-0_090084_2020-08-11_final
2020-08-22 11:32:20	ga_ls8c_ard_3-1-0_112074_2020-08-22_final
2020-09-03 11:58:45	ga_ls8c_ard_3-1-0_116078_2020-09-03_final
2020-11-19 11:26:00	ga_ls8c_ard_3-1-0_111073_2020-11-19_final
2020-11-21 11:12:03	ga_ls8c_ard_3-1-0_109069_2020-11-21_final
2020-12-18 10:54:43	ga_ls8c_ard_3-2-0_106072_2020-12-18_final
2021-01-08 11:14:21	ga_ls8c_ard_3-2-0_109075_2021-01-08_final
2021-01-11 10:07:09	ga_ls8c_ard_3-2-0_098077_2021-01-11_final
2021-01-11 10:09:33	ga_ls8c_ard_3-2-0_098083_2021-01-11_final
2021-01-30 10:34:47	ga_ls8c_ard_3-2-0_103069_2021-01-30_final
2021-02-04 09:22:24	ga_ls8c_ard_3-2-0_090089_2021-02-03_final
2021-02-05 09:57:17	ga_ls8c_ard_3-2-0_097068_2021-02-05_final
2021-02-09 11:14:14	ga_ls8c_ard_3-2-0_109075_2021-02-09_final
2021-02-12 10:09:49	ga_ls8c_ard_3-2-0_098084_2021-02-12_final
2021-02-24 10:29:17	ga_ls8c_ard_3-2-0_102071_2021-02-24_final
2021-03-06 11:07:29	ga_ls8c_ard_3-2-0_108074_2021-03-06_final
2021-04-28 09:46:23	ga_ls8c_ard_3-2-0_095073_2021-04-28_final
2021-05-10 10:10:15	ga_ls8c_ard_3-2-0_099071_2021-05-10_final
2021-05-11 10:52:20	ga_ls8c_ard_3-2-0_106068_2021-05-11_final
2021-07-20 10:16:51	ga_ls8c_ard_3-2-0_100071_2021-07-20_final
2021-07-26 09:40:14	ga_ls8c_ard_3-2-0_094072_2021-07-26_final
2021-08-02 09:46:04	ga_ls8c_ard_3-2-0_095071_2021-08-02_final
2021-09-05 11:13:58	ga_ls8c_ard_3-2-0_109074_2021-09-05_final
2021-10-11 10:47:01	ga_ls8c_ard_3-2-0_105068_2021-10-11_final
2021-10-14 09:46:14	ga_ls8c_ard_3-2-0_094086_2021-10-14_final
2021-10-14 11:17:32	ga_ls8c_ard_3-2-0_110067_2021-10-14_final
2021-10-19 09:58:00	ga_ls8c_ard_3-2-0_097069_2021-10-19_final
2021-11-01 09:30:17	ga_ls8c_ard_3-2-0_092077_2021-11-01_final
2021-11-08 09:32:27	ga_ls8c_ard_3-2-0_093067_2021-11-08_final
2021-11-13 11:32:38	ga_ls8c_ard_3-2-0_112074_2021-11-13_final
2021-11-15 09:46:34	ga_ls8c_ard_3-2-0_094087_2021-11-15_final
2021-11-26 09:23:38	ga_ls8c_ard_3-2-0_091076_2021-11-25_final
2021-11-30 10:39:48	ga_ls8c_ard_3-2-0_103081_2021-11-30_final
2021-12-12 09:22:26	ga_ls8c_ard_3-2-1_091073_2021-12-11_final
2021-12-14 10:49:45	ga_ls8c_ard_3-2-1_105075_2021-12-14_final
2022-01-13 09:21:55	ga_ls8c_ard_3-2-1_091072_2022-01-12_final
2022-01-25 09:50:57	ga_ls8c_ard_3-2-1_095083_2022-01-25_final
2022-02-19 11:20:21	ga_ls8c_ard_3-2-1_110075_2022-02-19_final
2022-03-18 11:01:16	ga_ls8c_ard_3-2-1_107074_2022-03-18_final
2022-04-17 09:39:04	ga_ls8c_ard_3-2-1_093085_2022-04-17_final
2022-04-29 09:56:55	ga_ls8c_ard_3-2-1_097068_2022-04-29_final
2022-04-30 09:06:30	ga_ls8c_ard_3-2-1_088081_2022-04-29_final
2022-07-15 09:34:04	ga_ls8c_ard_3-2-1_092087_2022-07-15_final
2022-07-16 10:10:09	ga_ls8c_ard_3-2-1_099069_2022-07-16_final
2022-07-28 10:39:49	ga_ls8c_ard_3-2-1_103081_2022-07-28_final
2022-07-29 11:23:06	ga_ls8c_ard_3-2-1_110081_2022-07-29_final
2022-08-09 11:05:27	ga_ls8c_ard_3-2-1_107083_2022-08-09_final
2022-09-12 09:14:19	ga_ls8c_ard_3-2-1_089083_2022-09-11_final
2022-09-15 09:41:39	ga_ls8c_ard_3-2-1_094074_2022-09-15_final
2022-10-06 09:57:46	ga_ls8c_ard_3-2-1_097068_2022-10-06_final
2022-10-07 09:07:43	ga_ls8c_ard_3-2-1_088082_2022-10-06_final
2022-10-10 11:17:28	ga_ls8c_ard_3-2-1_109082_2022-10-10_final
2022-11-15 10:52:45	ga_ls8c_ard_3-2-1_105082_2022-11-15_final
2022-11-20 09:34:22	ga_ls8c_ard_3-2-1_092087_2022-11-20_final
2022-11-23 10:01:42	ga_ls8c_ard_3-2-1_097078_2022-11-23_final
2022-12-07 10:10:05	ga_ls8c_ard_3-2-1_099068_2022-12-07_final
2022-12-31 09:22:06	ga_ls8c_ard_3-2-1_091072_2022-12-30_final
2023-01-02 09:11:44	ga_ls8c_ard_3-2-1_089077_2023-01-01_final
2023-01-02 09:13:44	ga_ls8c_ard_3-2-1_089082_2023-01-01_final
2023-01-25 09:22:15	ga_ls8c_ard_3-2-1_090088_2023-01-24_final
2023-03-19 11:13:38	ga_ls8c_ard_3-2-1_109074_2023-03-19_final
2023-04-30 10:09:25	ga_ls8c_ard_3-2-1_099069_2023-04-30_final
2023-06-08 10:16:18	ga_ls8c_ard_3-2-1_100071_2023-06-08_final
2023-06-25 09:21:12	ga_ls8c_ard_3-2-1_091072_2023-06-24_final
2023-07-23 09:45:44	ga_ls8c_ard_3-2-1_095071_2023-07-23_final
2023-08-04 10:08:35	ga_ls8c_ard_3-2-1_099066_2023-08-04_final
2023-09-06 09:17:04	ga_ls8c_ard_3-2-1_090076_2023-09-05_final
2023-09-06 10:52:45	ga_ls8c_ard_3-2-1_106068_2023-09-06_final
2023-09-22 10:55:15	ga_ls8c_ard_3-2-1_106074_2023-09-22_final
2023-09-28 10:19:49	ga_ls8c_ard_3-2-1_100078_2023-09-28_final
2023-12-10 11:51:20	ga_ls8c_ard_3-2-1_115075_2023-12-10_final
2023-12-17 11:58:23	ga_ls8c_ard_3-2-1_116077_2023-12-17_final
2024-01-03 09:22:59	ga_ls8c_ard_3-2-1_091075_2024-01-02_final
2024-01-03 09:26:58	ga_ls8c_ard_3-2-1_091085_2024-01-02_final
2024-01-17 09:34:34	ga_ls8c_ard_3-2-1_093073_2024-01-17_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