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

98 results

Time (local)	Label
2013-04-01 10:08:27	ga_ls8c_ard_3-0-0_099069_2013-04-01_final
2013-04-16 10:24:54	ga_ls8c_ard_3-0-0_101071_2013-04-16_final
2013-05-13 11:48:58	ga_ls8c_ard_3-0-0_114080_2013-05-13_final
2013-09-08 09:31:29	ga_ls8c_ard_3-0-0_092076_2013-09-08_final
2013-11-30 11:39:16	ga_ls8c_ard_3-0-0_113072_2013-11-30_final
2014-02-09 10:10:40	ga_ls8c_ard_3-0-0_098084_2014-02-09_final
2014-02-26 10:52:54	ga_ls8c_ard_3-0-0_105082_2014-02-26_final
2014-05-02 11:31:59	ga_ls8c_ard_3-0-0_112074_2014-05-02_final
2014-06-08 11:50:52	ga_ls8c_ard_3-0-0_115075_2014-06-08_final
2014-07-06 10:39:15	ga_ls8c_ard_3-0-0_103081_2014-07-06_final
2014-10-17 10:40:40	ga_ls8c_ard_3-0-0_104068_2014-10-17_final
2014-11-09 09:10:45	ga_ls8c_ard_3-0-0_089075_2014-11-08_final
2015-04-26 10:03:16	ga_ls8c_ard_3-0-0_097085_2015-04-26_final
2015-04-29 10:32:31	ga_ls8c_ard_3-0-0_102081_2015-04-29_final
2015-08-14 10:15:37	ga_ls8c_ard_3-0-0_099084_2015-08-14_final
2015-10-02 09:21:06	ga_ls8c_ard_3-0-0_090086_2015-10-01_final
2015-10-10 10:09:21	ga_ls8c_ard_3-0-0_098083_2015-10-10_final
2015-10-12 09:50:36	ga_ls8c_ard_3-0-0_096067_2015-10-12_final
2016-03-09 10:09:48	ga_ls8c_ard_3-0-0_099069_2016-03-09_final
2016-04-30 11:23:41	ga_ls8c_ard_3-0-0_111069_2016-04-30_final
2016-07-15 10:13:52	ga_ls8c_ard_3-0-0_099079_2016-07-15_final
2016-07-16 10:54:21	ga_ls8c_ard_3-0-0_106072_2016-07-16_final
2016-09-26 10:09:58	ga_ls8c_ard_3-0-0_098084_2016-09-26_final
2016-11-01 09:40:10	ga_ls8c_ard_3-0-0_094071_2016-11-01_final
2017-01-17 10:49:33	ga_ls8c_ard_3-0-0_105075_2017-01-17_final
2017-01-22 09:33:34	ga_ls8c_ard_3-0-0_092086_2017-01-22_final
2017-03-14 11:40:58	ga_ls8c_ard_3-0-0_113081_2017-03-14_final
2017-03-30 09:57:57	ga_ls8c_ard_3-0-0_097071_2017-03-30_final
2017-07-12 09:11:31	ga_ls8c_ard_3-0-0_089078_2017-07-11_final
2017-09-11 10:19:01	ga_ls8c_ard_3-0-0_100076_2017-09-11_final
2017-12-04 09:57:55	ga_ls8c_ard_3-0-0_096085_2017-12-04_final
2017-12-16 11:58:46	ga_ls8c_ard_3-0-0_116078_2017-12-16_final
2018-02-11 10:09:45	ga_ls8c_ard_3-0-0_099069_2018-02-11_final
2018-02-20 10:04:19	ga_ls8c_ard_3-0-0_098071_2018-02-20_final
2018-03-04 10:29:44	ga_ls8c_ard_3-0-0_102073_2018-03-04_final
2018-03-29 10:24:57	ga_ls8c_ard_3-0-0_101077_2018-03-29_final
2018-05-27 10:02:36	ga_ls8c_ard_3-0-0_098069_2018-05-27_final
2018-06-10 11:56:13	ga_ls8c_ard_3-0-0_116075_2018-06-10_final
2018-08-17 09:51:38	ga_ls8c_ard_3-0-0_096071_2018-08-17_final
2018-09-27 11:23:48	ga_ls8c_ard_3-0-0_111069_2018-09-27_final
2018-10-03 09:11:04	ga_ls8c_ard_3-0-0_089077_2018-10-02_final
2018-11-08 10:25:01	ga_ls8c_ard_3-0-0_101076_2018-11-08_final
2019-01-13 10:12:58	ga_ls8c_ard_3-0-0_099077_2019-01-13_final
2019-01-30 09:16:52	ga_ls8c_ard_3-0-0_090076_2019-01-29_final
2019-03-30 10:39:23	ga_ls8c_ard_3-1-0_103082_2019-03-30_final
2019-04-24 10:28:16	ga_ls8c_ard_3-0-0_102070_2019-04-24_final
2019-06-12 11:13:56	ga_ls8c_ard_3-1-0_109075_2019-06-12_final
2019-08-20 11:32:25	ga_ls8c_ard_3-1-0_112074_2019-08-20_final
2019-10-05 10:07:42	ga_ls8c_ard_3-1-0_098078_2019-10-05_final
2019-10-06 09:12:05	ga_ls8c_ard_3-1-0_089078_2019-10-05_final
2019-11-08 09:57:21	ga_ls8c_ard_3-1-0_096083_2019-11-08_final
2019-11-11 10:28:14	ga_ls8c_ard_3-1-0_101083_2019-11-11_final
2019-12-31 11:53:02	ga_ls8c_ard_3-1-0_115079_2019-12-31_final
2020-01-29 11:17:13	ga_ls8c_ard_3-1-0_110067_2020-01-29_final
2020-01-31 11:09:38	ga_ls8c_ard_3-1-0_108079_2020-01-31_final
2020-04-30 11:44:30	ga_ls8c_ard_3-1-0_114075_2020-04-30_final
2020-08-01 09:40:23	ga_ls8c_ard_3-1-0_093088_2020-08-01_final
2020-10-03 10:33:34	ga_ls8c_ard_3-1-0_102081_2020-10-03_final
2020-10-08 09:12:51	ga_ls8c_ard_3-1-0_089080_2020-10-07_final
2020-10-14 10:10:40	ga_ls8c_ard_3-1-0_099070_2020-10-14_final
2020-10-21 10:17:38	ga_ls8c_ard_3-1-0_100072_2020-10-21_final
2020-10-27 09:40:09	ga_ls8c_ard_3-1-0_094071_2020-10-27_final
2020-11-16 10:55:52	ga_ls8c_ard_3-1-0_106075_2020-11-16_final
2020-12-27 09:12:01	ga_ls8c_ard_3-2-0_089078_2020-12-26_final
2020-12-29 10:34:57	ga_ls8c_ard_3-2-0_103069_2020-12-29_final
2021-03-13 11:17:11	ga_ls8c_ard_3-2-0_109083_2021-03-13_final
2021-04-02 09:11:05	ga_ls8c_ard_3-2-0_089077_2021-04-01_final
2021-04-19 09:57:26	ga_ls8c_ard_3-2-0_096085_2021-04-19_final
2021-09-13 10:23:22	ga_ls8c_ard_3-2-0_101071_2021-09-13_final
2021-09-25 10:49:43	ga_ls8c_ard_3-2-0_105075_2021-09-25_final
2022-01-04 11:11:23	ga_ls8c_ard_3-2-1_108083_2022-01-04_final
2022-01-09 11:24:44	ga_ls8c_ard_3-2-1_111070_2022-01-09_final
2022-01-16 09:57:35	ga_ls8c_ard_3-2-1_096084_2022-01-16_final
2022-01-19 10:25:41	ga_ls8c_ard_3-2-1_101077_2022-01-19_final
2022-02-03 11:18:27	ga_ls8c_ard_3-2-1_110070_2022-02-03_final
2022-02-20 10:27:30	ga_ls8c_ard_3-2-1_101082_2022-02-20_final
2022-04-05 10:52:21	ga_ls8c_ard_3-2-1_105083_2022-04-05_final
2022-04-11 10:09:21	ga_ls8c_ard_3-2-1_099068_2022-04-11_final
2022-04-26 09:31:38	ga_ls8c_ard_3-2-1_092082_2022-04-26_final
2022-04-28 09:21:39	ga_ls8c_ard_3-2-1_090088_2022-04-27_final
2022-05-13 10:10:14	ga_ls8c_ard_3-2-1_099070_2022-05-13_final
2022-06-04 09:37:16	ga_ls8c_ard_3-2-1_093080_2022-06-04_final
2022-09-15 09:40:51	ga_ls8c_ard_3-2-1_094072_2022-09-15_final
2022-12-22 11:08:19	ga_ls8c_ard_3-2-1_108075_2022-12-22_final
2023-01-30 09:34:49	ga_ls8c_ard_3-2-1_093073_2023-01-30_final
2023-03-01 11:25:21	ga_ls8c_ard_3-2-1_111072_2023-03-01_final
2023-06-27 10:49:45	ga_ls8c_ard_3-2-1_105077_2023-06-27_final
2023-07-27 09:23:28	ga_ls8c_ard_3-2-1_091077_2023-07-26_final
2023-08-29 10:06:56	ga_ls8c_ard_3-2-1_098077_2023-08-29_final
2023-11-05 11:18:06	ga_ls8c_ard_3-2-1_110069_2023-11-05_final
2023-12-13 09:06:30	ga_ls8c_ard_3-2-1_088080_2023-12-12_final
2024-01-22 11:36:20	ga_ls8c_ard_3-2-1_112084_2024-01-22_final
2024-02-21 10:07:24	ga_ls8c_ard_3-2-1_098078_2024-02-21_final
2024-03-09 09:13:58	ga_ls8c_ard_3-2-1_089084_2024-03-08_final
2024-03-12 11:21:45	ga_ls8c_ard_3-2-1_110079_2024-03-12_nrt
2024-03-25 09:09:47	ga_ls8c_ard_3-2-1_089074_2024-03-24_nrt
2024-03-28 09:40:37	ga_ls8c_ard_3-2-1_094074_2024-03-28_nrt
2024-04-06 09:33:15	ga_ls8c_ard_3-2-1_093071_2024-04-06_nrt

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