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
2013-04-06 11:47:16	ga_ls8c_ard_3-0-0_114080_2013-04-06_final
2014-04-18 09:40:56	ga_ls8c_ard_3-0-0_094074_2014-04-18_final
2015-02-26 11:58:22	ga_ls8c_ard_3-0-0_116078_2015-02-26_final
2015-07-26 09:44:37	ga_ls8c_ard_3-0-0_094084_2015-07-26_final
2015-08-27 09:38:01	ga_ls8c_ard_3-0-0_094067_2015-08-27_final
2016-02-19 09:40:07	ga_ls8c_ard_3-0-0_094072_2016-02-19_final
2016-03-22 09:40:47	ga_ls8c_ard_3-0-0_094074_2016-03-22_final
2016-09-17 11:52:14	ga_ls8c_ard_3-0-0_115077_2016-09-17_final
2016-12-15 11:46:30	ga_ls8c_ard_3-0-0_114078_2016-12-15_final
2017-04-26 09:39:57	ga_ls8c_ard_3-0-0_094073_2017-04-26_final
2018-03-15 11:51:10	ga_ls8c_ard_3-0-0_115076_2018-03-15_final
2018-05-02 11:51:10	ga_ls8c_ard_3-0-0_115077_2018-05-02_final
2018-06-23 09:46:11	ga_ls8c_ard_3-0-0_095074_2018-06-23_final
2018-11-10 11:52:20	ga_ls8c_ard_3-0-0_115078_2018-11-10_final
2019-03-22 09:51:34	ga_ls8c_ard_3-1-0_095086_2019-03-22_final
2020-01-09 11:45:37	ga_ls8c_ard_3-1-0_114076_2020-01-09_final
2020-06-17 11:45:29	ga_ls8c_ard_3-1-0_114077_2020-06-17_final
2020-07-03 11:47:13	ga_ls8c_ard_3-1-0_114081_2020-07-03_final
2020-09-05 11:45:36	ga_ls8c_ard_3-1-0_114076_2020-09-05_final
2021-03-06 09:27:48	ga_ls8c_ard_3-2-0_092072_2021-03-05_final
2021-04-07 11:05:41	ga_ls8c_ard_3-2-0_108070_2021-04-07_final
2021-04-13 10:27:46	ga_ls8c_ard_3-2-0_102068_2021-04-13_final
2021-05-02 09:28:24	ga_ls8c_ard_3-2-0_091090_2021-05-01_final
2021-05-14 09:50:46	ga_ls8c_ard_3-2-0_095084_2021-05-14_final
2021-05-18 09:26:29	ga_ls8c_ard_3-2-0_091085_2021-05-17_final
2021-05-23 09:40:17	ga_ls8c_ard_3-2-0_094073_2021-05-23_final
2021-05-26 10:08:49	ga_ls8c_ard_3-2-0_099067_2021-05-26_final
2021-05-27 09:16:24	ga_ls8c_ard_3-2-0_090075_2021-05-26_final
2021-05-28 11:40:09	ga_ls8c_ard_3-2-0_113079_2021-05-28_final
2021-06-01 11:15:04	ga_ls8c_ard_3-2-0_109078_2021-06-01_final
2021-06-12 10:55:00	ga_ls8c_ard_3-2-0_106074_2021-06-12_final
2021-06-13 10:03:47	ga_ls8c_ard_3-2-0_097085_2021-06-13_final
2021-06-21 09:12:47	ga_ls8c_ard_3-2-0_089081_2021-06-20_final
2021-07-05 11:00:04	ga_ls8c_ard_3-2-0_107071_2021-07-05_final
2021-07-06 10:04:27	ga_ls8c_ard_3-2-0_098071_2021-07-06_final
2021-07-14 09:19:24	ga_ls8c_ard_3-2-0_090082_2021-07-13_final
2021-07-14 10:52:42	ga_ls8c_ard_3-2-0_106068_2021-07-14_final
2021-07-23 09:12:54	ga_ls8c_ard_3-2-0_089081_2021-07-22_final
2021-07-30 09:16:44	ga_ls8c_ard_3-2-0_090075_2021-07-29_final
2021-07-30 09:21:32	ga_ls8c_ard_3-2-0_090087_2021-07-29_final
2021-08-13 11:07:41	ga_ls8c_ard_3-2-0_108074_2021-08-13_final
2021-08-16 11:38:36	ga_ls8c_ard_3-2-0_113074_2021-08-16_final
2021-08-22 09:21:52	ga_ls8c_ard_3-2-0_091072_2021-08-21_final
2021-08-29 11:06:09	ga_ls8c_ard_3-2-0_108070_2021-08-29_final
2021-09-11 10:34:55	ga_ls8c_ard_3-2-0_103069_2021-09-11_final
2021-09-24 10:10:02	ga_ls8c_ard_3-2-0_098084_2021-09-24_final
2021-09-25 10:48:55	ga_ls8c_ard_3-2-0_105073_2021-09-25_final
2021-10-16 11:11:34	ga_ls8c_ard_3-2-0_108083_2021-10-16_final
2021-10-30 11:21:08	ga_ls8c_ard_3-2-0_110076_2021-10-30_final
2021-11-08 11:14:31	ga_ls8c_ard_3-2-0_109075_2021-11-08_final
2021-11-08 11:16:55	ga_ls8c_ard_3-2-0_109081_2021-11-08_final
2021-11-22 09:47:09	ga_ls8c_ard_3-2-0_095073_2021-11-22_final
2021-11-22 11:25:38	ga_ls8c_ard_3-2-0_111072_2021-11-22_final
2021-11-23 10:29:13	ga_ls8c_ard_3-2-0_102070_2021-11-23_final
2021-11-25 10:19:15	ga_ls8c_ard_3-2-0_100076_2021-11-25_final
2021-12-21 10:54:42	ga_ls8c_ard_3-2-1_106072_2021-12-21_final
2022-01-02 11:20:57	ga_ls8c_ard_3-2-1_110076_2022-01-02_final
2022-02-11 10:30:10	ga_ls8c_ard_3-2-1_102073_2022-02-11_final
2022-03-30 09:50:32	ga_ls8c_ard_3-2-1_095083_2022-03-30_final
2022-05-02 10:30:16	ga_ls8c_ard_3-2-1_102074_2022-05-02_final
2022-06-15 09:21:40	ga_ls8c_ard_3-2-1_090087_2022-06-14_final
2022-07-06 11:11:58	ga_ls8c_ard_3-2-1_109069_2022-07-06_final
2022-08-10 11:47:31	ga_ls8c_ard_3-2-1_114080_2022-08-10_final
2022-10-09 10:30:38	ga_ls8c_ard_3-2-1_102073_2022-10-09_final
2022-10-12 09:29:23	ga_ls8c_ard_3-2-1_091090_2022-10-11_final
2022-10-21 10:56:34	ga_ls8c_ard_3-2-1_106076_2022-10-21_final
2022-11-10 10:28:41	ga_ls8c_ard_3-2-1_102068_2022-11-10_final
2022-11-12 11:59:10	ga_ls8c_ard_3-2-1_116078_2022-11-12_final
2022-11-20 09:31:59	ga_ls8c_ard_3-2-1_092081_2022-11-20_final
2022-11-21 10:12:03	ga_ls8c_ard_3-2-1_099073_2022-11-21_final
2022-12-15 09:22:58	ga_ls8c_ard_3-2-1_091074_2022-12-14_final
2023-01-21 09:45:44	ga_ls8c_ard_3-2-1_094085_2023-01-21_final
2023-02-02 11:47:24	ga_ls8c_ard_3-2-1_114080_2023-02-02_final
2023-03-13 10:09:06	ga_ls8c_ard_3-2-1_099067_2023-03-13_final
2023-03-24 09:52:01	ga_ls8c_ard_3-2-1_096071_2023-03-24_final
2023-04-02 11:26:15	ga_ls8c_ard_3-2-1_111075_2023-04-02_final
2023-04-13 09:27:25	ga_ls8c_ard_3-2-1_092072_2023-04-12_final
2023-04-16 10:03:30	ga_ls8c_ard_3-2-1_097085_2023-04-16_final
2023-04-17 10:41:58	ga_ls8c_ard_3-2-1_104073_2023-04-17_final
2023-05-24 09:21:47	ga_ls8c_ard_3-2-1_091074_2023-05-23_final
2023-06-04 10:41:46	ga_ls8c_ard_3-2-1_104073_2023-06-04_final
2023-06-28 09:51:21	ga_ls8c_ard_3-2-1_096070_2023-06-28_final
2023-07-04 10:54:50	ga_ls8c_ard_3-2-1_106074_2023-07-04_final
2023-07-13 10:49:06	ga_ls8c_ard_3-2-1_105075_2023-07-13_final
2023-09-02 11:23:29	ga_ls8c_ard_3-2-1_110083_2023-09-02_final
2023-09-27 09:34:57	ga_ls8c_ard_3-2-1_093074_2023-09-27_final
2023-10-08 09:20:26	ga_ls8c_ard_3-2-1_090084_2023-10-07_final
2023-10-08 09:20:50	ga_ls8c_ard_3-2-1_090085_2023-10-07_final
2023-10-16 10:05:06	ga_ls8c_ard_3-2-1_098072_2023-10-16_final
2023-10-19 10:34:23	ga_ls8c_ard_3-2-1_103068_2023-10-19_final
2023-10-27 09:52:12	ga_ls8c_ard_3-2-1_095086_2023-10-27_final
2023-11-21 11:19:21	ga_ls8c_ard_3-2-1_110072_2023-11-21_final
2023-11-30 09:34:15	ga_ls8c_ard_3-2-1_093072_2023-11-30_final
2023-12-18 11:02:22	ga_ls8c_ard_3-2-1_107076_2023-12-18_final
2023-12-23 09:45:14	ga_ls8c_ard_3-2-1_094084_2023-12-23_final
2023-12-26 11:52:12	ga_ls8c_ard_3-2-1_115077_2023-12-26_final
2023-12-29 09:06:54	ga_ls8c_ard_3-2-1_088081_2023-12-28_final
2024-01-09 10:25:35	ga_ls8c_ard_3-2-1_101077_2024-01-09_final
2024-01-18 10:22:12	ga_ls8c_ard_3-2-1_100084_2024-01-18_final
2024-02-15 10:42:53	ga_ls8c_ard_3-2-1_104074_2024-02-15_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years