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
2014-05-22 09:25:46	ga_ls8c_ard_3-0-0_092068_2014-05-21_final
2014-09-23 11:31:33	ga_ls8c_ard_3-0-0_112072_2014-09-23_final
2014-11-03 09:46:36	ga_ls8c_ard_3-0-0_095072_2014-11-03_final
2014-11-10 11:31:42	ga_ls8c_ard_3-0-0_112072_2014-11-10_final
2014-11-12 09:40:27	ga_ls8c_ard_3-0-0_094072_2014-11-12_final
2014-11-14 11:06:34	ga_ls8c_ard_3-0-0_108071_2014-11-14_final
2014-12-12 11:31:56	ga_ls8c_ard_3-0-0_112073_2014-12-12_final
2014-12-28 11:29:56	ga_ls8c_ard_3-0-0_112068_2014-12-28_final
2015-01-17 11:05:34	ga_ls8c_ard_3-0-0_108069_2015-01-17_final
2015-01-18 11:51:13	ga_ls8c_ard_3-0-0_115075_2015-01-18_final
2015-04-23 11:05:18	ga_ls8c_ard_3-0-0_108070_2015-04-23_final
2015-06-11 10:12:46	ga_ls8c_ard_3-0-0_099078_2015-06-11_final
2015-09-19 11:24:03	ga_ls8c_ard_3-0-0_111069_2015-09-19_final
2015-10-05 11:29:18	ga_ls8c_ard_3-0-0_111082_2015-10-05_final
2016-03-15 09:34:16	ga_ls8c_ard_3-0-0_093073_2016-03-15_final
2016-04-05 11:31:06	ga_ls8c_ard_3-0-0_112072_2016-04-05_final
2016-06-28 09:32:52	ga_ls8c_ard_3-0-0_092085_2016-06-28_final
2016-07-21 09:32:02	ga_ls8c_ard_3-0-0_093067_2016-07-21_final
2016-10-07 11:24:46	ga_ls8c_ard_3-0-0_111070_2016-10-07_final
2016-12-14 09:21:58	ga_ls8c_ard_3-0-0_091072_2016-12-13_final
2016-12-31 11:47:39	ga_ls8c_ard_3-0-0_114081_2016-12-31_final
2017-01-29 09:33:43	ga_ls8c_ard_3-0-0_093071_2017-01-29_final
2017-03-03 10:19:32	ga_ls8c_ard_3-0-0_100078_2017-03-03_final
2017-03-06 09:09:56	ga_ls8c_ard_3-0-0_089074_2017-03-05_final
2017-03-11 09:28:26	ga_ls8c_ard_3-1-0_092074_2017-03-10_final
2017-05-16 09:16:32	ga_ls8c_ard_3-0-0_090076_2017-05-15_final
2017-06-16 10:09:38	ga_ls8c_ard_3-0-0_099069_2017-06-16_final
2017-06-25 10:03:06	ga_ls8c_ard_3-0-0_098068_2017-06-25_final
2017-09-05 09:23:12	ga_ls8c_ard_3-0-0_090091_2017-09-04_final
2017-09-26 09:33:51	ga_ls8c_ard_3-0-0_093071_2017-09-26_final
2017-10-05 09:28:07	ga_ls8c_ard_3-0-0_092072_2017-10-04_final
2017-12-06 09:40:22	ga_ls8c_ard_3-0-0_094072_2017-12-06_final
2018-03-12 09:39:49	ga_ls8c_ard_3-0-0_094072_2018-03-12_final
2018-04-19 09:06:48	ga_ls8c_ard_3-0-0_088083_2018-04-18_final
2018-05-02 10:13:04	ga_ls8c_ard_3-0-0_099079_2018-05-02_final
2018-05-02 11:51:58	ga_ls8c_ard_3-0-0_115079_2018-05-02_final
2018-06-02 09:33:02	ga_ls8c_ard_3-0-0_092088_2018-06-02_final
2018-06-24 10:32:15	ga_ls8c_ard_3-0-0_102081_2018-06-24_final
2018-07-06 09:18:35	ga_ls8c_ard_3-0-0_090082_2018-07-05_final
2018-08-05 11:10:52	ga_ls8c_ard_3-0-0_108084_2018-08-05_final
2018-09-18 09:57:48	ga_ls8c_ard_3-0-0_096086_2018-09-18_final
2018-10-01 09:25:01	ga_ls8c_ard_3-0-0_091081_2018-09-30_final
2018-10-01 09:27:48	ga_ls8c_ard_3-0-0_091088_2018-09-30_final
2019-01-30 09:16:52	ga_ls8c_ard_3-0-0_090076_2019-01-29_final
2019-03-03 09:16:46	ga_ls8c_ard_3-0-0_090076_2019-03-02_final
2019-05-16 09:56:57	ga_ls8c_ard_3-0-0_096084_2019-05-16_final
2019-06-08 11:38:37	ga_ls8c_ard_3-0-0_113075_2019-06-08_final
2019-09-21 09:51:42	ga_ls8c_ard_3-1-0_096069_2019-09-21_final
2019-10-16 09:46:48	ga_ls8c_ard_3-1-0_095072_2019-10-16_final
2019-11-12 09:29:01	ga_ls8c_ard_3-1-0_092074_2019-11-11_final
2019-12-03 11:24:48	ga_ls8c_ard_3-1-0_111070_2019-12-03_final
2020-02-25 11:05:21	ga_ls8c_ard_3-1-0_107084_2020-02-25_final
2020-05-08 09:21:41	ga_ls8c_ard_3-1-0_090089_2020-05-07_final
2020-06-07 09:33:49	ga_ls8c_ard_3-1-0_092088_2020-06-07_final
2020-06-09 09:21:04	ga_ls8c_ard_3-1-0_090087_2020-06-08_final
2020-06-22 10:26:23	ga_ls8c_ard_3-1-0_101080_2020-06-22_final
2020-09-04 09:21:52	ga_ls8c_ard_3-1-0_091072_2020-09-03_final
2020-09-19 10:19:58	ga_ls8c_ard_3-1-0_100078_2020-09-19_final
2020-09-23 11:31:45	ga_ls8c_ard_3-1-0_112072_2020-09-23_final
2021-01-20 09:58:06	ga_ls8c_ard_3-2-0_097070_2021-01-20_final
2021-02-26 10:18:55	ga_ls8c_ard_3-2-0_100076_2021-02-26_final
2021-07-05 09:21:59	ga_ls8c_ard_3-2-0_091073_2021-07-04_final
2021-08-07 10:09:50	ga_ls8c_ard_3-2-0_098084_2021-08-07_final
2021-08-25 11:31:39	ga_ls8c_ard_3-2-0_112072_2021-08-25_final
2021-11-03 10:56:00	ga_ls8c_ard_3-2-0_106075_2021-11-03_final
2021-12-03 11:11:30	ga_ls8c_ard_3-2-0_108083_2021-12-03_final
2022-01-24 09:06:54	ga_ls8c_ard_3-2-1_088081_2022-01-23_final
2022-02-15 10:02:38	ga_ls8c_ard_3-2-1_098066_2022-02-15_final
2022-03-01 11:58:36	ga_ls8c_ard_3-2-1_116078_2022-03-01_final
2022-03-25 09:34:27	ga_ls8c_ard_3-2-1_092089_2022-03-25_final
2022-04-12 09:16:31	ga_ls8c_ard_3-2-1_090075_2022-04-11_final
2022-05-10 11:18:36	ga_ls8c_ard_3-2-1_110071_2022-05-10_final
2022-05-11 10:25:23	ga_ls8c_ard_3-2-1_101077_2022-05-11_final
2022-09-20 11:38:18	ga_ls8c_ard_3-2-1_113072_2022-09-20_final
2022-09-26 09:23:32	ga_ls8c_ard_3-2-1_091075_2022-09-25_final
2022-09-27 10:04:00	ga_ls8c_ard_3-2-1_098068_2022-09-27_final
2022-10-03 09:29:17	ga_ls8c_ard_3-2-1_092074_2022-10-02_final
2022-11-16 09:58:18	ga_ls8c_ard_3-2-1_096085_2022-11-16_final
2022-12-31 09:28:29	ga_ls8c_ard_3-2-1_091088_2022-12-30_final
2023-03-12 09:34:38	ga_ls8c_ard_3-2-1_092089_2023-03-12_final
2023-03-31 11:41:26	ga_ls8c_ard_3-2-1_113082_2023-03-31_final
2023-04-04 09:35:22	ga_ls8c_ard_3-2-1_093076_2023-04-04_final
2023-04-06 09:26:09	ga_ls8c_ard_3-2-1_091084_2023-04-05_final
2023-05-15 09:33:55	ga_ls8c_ard_3-2-1_092089_2023-05-15_final
2023-06-25 09:22:23	ga_ls8c_ard_3-2-1_091075_2023-06-24_final
2023-07-02 11:06:22	ga_ls8c_ard_3-2-1_108072_2023-07-02_final
2023-07-19 10:09:38	ga_ls8c_ard_3-2-1_099069_2023-07-19_final
2023-08-29 10:02:57	ga_ls8c_ard_3-2-1_098067_2023-08-29_final
2023-11-10 09:56:53	ga_ls8c_ard_3-2-1_097067_2023-11-10_final
2023-11-28 11:25:55	ga_ls8c_ard_3-2-1_111073_2023-11-28_final
2023-12-18 09:23:05	ga_ls8c_ard_3-2-1_091075_2023-12-17_final
2024-01-02 10:19:25	ga_ls8c_ard_3-2-1_100077_2024-01-02_final
2024-01-15 11:23:49	ga_ls8c_ard_3-2-1_111068_2024-01-15_final
2024-01-23 10:36:42	ga_ls8c_ard_3-2-1_103074_2024-01-23_final
2024-01-23 10:36:42	ga_ls8c_ard_3-2-1_103074_2024-01-23_nrt
2024-02-15 10:40:30	ga_ls8c_ard_3-2-1_104068_2024-02-15_final
2024-03-17 11:37:27	ga_ls8c_ard_3-2-1_113072_2024-03-17_final
2024-03-25 10:51:51	ga_ls8c_ard_3-2-1_105082_2024-03-25_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