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

78 results

Time (local)	Label
2013-04-20 10:05:45	ga_ls8c_ard_3-0-0_097085_2013-04-20_final
2013-08-29 10:35:18	ga_ls8c_ard_3-0-0_102081_2013-08-29_final
2013-12-11 11:20:18	ga_ls8c_ard_3-0-0_110071_2013-12-11_final
2014-12-01 10:13:43	ga_ls8c_ard_3-0-0_099078_2014-12-01_final
2014-12-10 10:08:14	ga_ls8c_ard_3-0-0_098080_2014-12-10_final
2015-01-12 09:16:09	ga_ls8c_ard_3-0-0_089089_2015-01-11_final
2015-02-09 09:32:20	ga_ls8c_ard_3-0-0_093068_2015-02-09_final
2015-08-31 10:57:23	ga_ls8c_ard_3-0-0_106080_2015-08-31_final
2015-11-02 10:13:14	ga_ls8c_ard_3-0-0_099077_2015-11-02_final
2016-01-09 11:24:33	ga_ls8c_ard_3-0-0_111070_2016-01-09_final
2016-02-14 11:04:54	ga_ls8c_ard_3-0-0_107083_2016-02-14_final
2016-02-25 09:07:02	ga_ls8c_ard_3-0-0_088082_2016-02-24_final
2016-07-13 10:27:49	ga_ls8c_ard_3-0-0_101083_2016-07-13_final
2016-07-21 09:34:01	ga_ls8c_ard_3-0-0_093072_2016-07-21_final
2016-11-23 10:46:21	ga_ls8c_ard_3-0-0_104082_2016-11-23_final
2017-02-02 09:10:33	ga_ls8c_ard_3-0-0_089075_2017-02-01_final
2017-04-14 10:58:14	ga_ls8c_ard_3-0-0_106083_2017-04-14_final
2017-07-02 10:09:19	ga_ls8c_ard_3-0-0_099068_2017-07-02_final
2017-07-08 11:17:31	ga_ls8c_ard_3-0-0_109084_2017-07-08_final
2017-09-14 09:11:49	ga_ls8c_ard_3-0-0_089078_2017-09-13_final
2018-02-03 09:27:08	ga_ls8c_ard_3-0-0_091086_2018-02-02_final
2018-03-15 10:09:53	ga_ls8c_ard_3-0-0_099070_2018-03-15_final
2018-03-28 11:17:23	ga_ls8c_ard_3-0-0_110069_2018-03-28_final
2018-05-02 11:51:34	ga_ls8c_ard_3-0-0_115078_2018-05-02_final
2018-05-15 09:39:14	ga_ls8c_ard_3-0-0_094072_2018-05-15_final
2018-06-14 11:29:33	ga_ls8c_ard_3-0-0_112070_2018-06-14_final
2018-06-16 09:37:08	ga_ls8c_ard_3-0-0_094067_2018-06-16_final
2018-07-05 10:08:13	ga_ls8c_ard_3-0-0_099067_2018-07-05_final
2018-09-01 09:11:40	ga_ls8c_ard_3-0-0_089079_2018-08-31_final
2019-01-14 09:16:56	ga_ls8c_ard_3-0-0_090076_2019-01-13_final
2019-03-12 09:15:43	ga_ls8c_ard_3-1-0_089089_2019-03-11_final
2019-05-13 09:22:02	ga_ls8c_ard_3-0-0_091074_2019-05-12_final
2019-09-07 09:45:38	ga_ls8c_ard_3-1-0_094085_2019-09-07_final
2020-01-17 10:56:09	ga_ls8c_ard_3-1-0_106076_2020-01-17_final
2020-01-24 09:23:25	ga_ls8c_ard_3-1-0_091076_2020-01-23_final
2020-07-03 10:09:32	ga_ls8c_ard_3-1-0_098084_2020-07-03_final
2020-07-21 09:56:52	ga_ls8c_ard_3-1-0_096083_2020-07-21_final
2020-09-18 09:39:29	ga_ls8c_ard_3-1-0_093085_2020-09-18_final
2020-12-22 10:29:36	ga_ls8c_ard_3-2-0_102071_2020-12-22_final
2021-05-05 09:50:53	ga_ls8c_ard_3-2-0_096069_2021-05-05_final
2021-06-04 10:07:06	ga_ls8c_ard_3-2-0_098078_2021-06-04_final
2021-07-03 11:14:01	ga_ls8c_ard_3-2-0_109075_2021-07-03_final
2021-07-15 09:56:41	ga_ls8c_ard_3-2-0_097067_2021-07-15_final
2021-09-22 11:57:41	ga_ls8c_ard_3-2-0_116075_2021-09-22_final
2021-09-22 11:58:05	ga_ls8c_ard_3-2-0_116076_2021-09-22_final
2021-10-21 09:52:49	ga_ls8c_ard_3-2-0_095087_2021-10-21_final
2021-11-02 10:13:56	ga_ls8c_ard_3-2-0_099078_2021-11-02_final
2021-11-02 11:53:13	ga_ls8c_ard_3-2-0_115079_2021-11-02_final
2021-11-04 09:57:59	ga_ls8c_ard_3-2-0_097069_2021-11-04_final
2021-11-06 09:46:25	ga_ls8c_ard_3-2-0_095071_2021-11-06_final
2021-11-25 10:20:51	ga_ls8c_ard_3-2-0_100080_2021-11-25_final
2022-02-14 11:00:15	ga_ls8c_ard_3-2-1_107071_2022-02-14_final
2022-03-15 10:28:48	ga_ls8c_ard_3-2-1_102070_2022-03-15_final
2022-05-01 09:51:46	ga_ls8c_ard_3-2-1_095086_2022-05-01_final
2022-05-15 11:41:34	ga_ls8c_ard_3-2-1_113082_2022-05-15_final
2022-06-04 09:39:16	ga_ls8c_ard_3-2-1_093085_2022-06-04_final
2022-06-16 11:37:50	ga_ls8c_ard_3-2-1_113072_2022-06-16_final
2022-06-20 09:34:39	ga_ls8c_ard_3-2-1_093073_2022-06-20_final
2022-07-04 11:23:56	ga_ls8c_ard_3-2-1_111068_2022-07-04_final
2022-09-24 11:16:22	ga_ls8c_ard_3-2-1_109079_2022-09-24_final
2022-10-17 11:18:27	ga_ls8c_ard_3-2-1_110069_2022-10-17_final
2022-11-11 09:35:02	ga_ls8c_ard_3-2-1_093073_2022-11-11_final
2022-11-25 11:24:15	ga_ls8c_ard_3-2-1_111068_2022-11-25_final
2023-06-21 11:23:57	ga_ls8c_ard_3-2-1_111070_2023-06-21_final
2023-07-11 12:37:09	ga_ls8c_ard_3-2-1_123067_2023-07-11_final
2023-08-02 10:25:20	ga_ls8c_ard_3-2-1_101077_2023-08-02_final
2023-10-11 11:23:51	ga_ls8c_ard_3-2-1_111068_2023-10-11_final
2023-10-29 11:14:20	ga_ls8c_ard_3-2-1_109075_2023-10-29_final
2023-12-02 09:21:52	ga_ls8c_ard_3-2-1_091072_2023-12-01_final
2024-01-08 09:43:07	ga_ls8c_ard_3-2-1_094079_2024-01-08_final
2024-01-26 09:28:40	ga_ls8c_ard_3-2-1_092074_2024-01-25_final
2024-02-03 10:17:23	ga_ls8c_ard_3-2-1_100072_2024-02-03_final
2024-02-13 10:54:04	ga_ls8c_ard_3-2-1_106071_2024-02-13_final
2024-03-03 11:25:14	ga_ls8c_ard_3-2-1_111072_2024-03-03_final
2024-03-16 10:53:24	ga_ls8c_ard_3-2-1_106070_2024-03-16_final
2024-03-19 11:23:28	ga_ls8c_ard_3-2-1_111068_2024-03-19_final
2024-03-22 10:17:02	ga_ls8c_ard_3-2-1_100072_2024-03-22_final
2024-03-23 09:21:48	ga_ls8c_ard_3-2-1_091073_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