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
2013-08-15 10:19:18	ga_ls8c_ard_3-0-0_100072_2013-08-15_final
2013-12-31 10:54:12	ga_ls8c_ard_3-0-0_106068_2013-12-31_final
2014-01-25 10:48:56	ga_ls8c_ard_3-0-0_105071_2014-01-25_final
2014-01-30 11:12:13	ga_ls8c_ard_3-0-0_108083_2014-01-30_final
2014-06-17 11:41:33	ga_ls8c_ard_3-0-0_114067_2014-06-17_final
2014-07-05 11:29:17	ga_ls8c_ard_3-0-0_112067_2014-07-05_final
2014-07-06 10:35:40	ga_ls8c_ard_3-0-0_103072_2014-07-06_final
2014-07-10 10:10:59	ga_ls8c_ard_3-0-0_099072_2014-07-10_final
2015-01-30 10:35:48	ga_ls8c_ard_3-0-0_103072_2015-01-30_final
2015-03-01 10:46:23	ga_ls8c_ard_3-0-0_105068_2015-03-01_final
2015-06-18 10:16:12	ga_ls8c_ard_3-0-0_100071_2015-06-18_final
2015-06-22 11:31:35	ga_ls8c_ard_3-0-0_112074_2015-06-22_final
2015-07-01 11:25:28	ga_ls8c_ard_3-0-0_111074_2015-07-01_final
2015-07-04 10:18:20	ga_ls8c_ard_3-0-0_100076_2015-07-04_final
2015-07-06 10:09:11	ga_ls8c_ard_3-0-0_098084_2015-07-06_final
2015-07-25 10:38:38	ga_ls8c_ard_3-0-0_103080_2015-07-25_final
2015-07-29 10:12:44	ga_ls8c_ard_3-0-0_099077_2015-07-29_final
2015-08-08 10:49:02	ga_ls8c_ard_3-0-0_105075_2015-08-08_final
2015-11-01 11:10:03	ga_ls8c_ard_3-0-0_108080_2015-11-01_final
2015-12-04 11:51:45	ga_ls8c_ard_3-0-0_115076_2015-12-04_final
2015-12-25 10:28:12	ga_ls8c_ard_3-0-0_102068_2015-12-25_final
2016-03-29 09:45:41	ga_ls8c_ard_3-0-0_095071_2016-03-29_final
2016-04-24 10:26:35	ga_ls8c_ard_3-0-0_101081_2016-04-24_final
2016-04-27 10:52:20	ga_ls8c_ard_3-0-0_106068_2016-04-27_final
2016-05-11 11:07:29	ga_ls8c_ard_3-0-0_108075_2016-05-11_final
2016-09-20 10:46:15	ga_ls8c_ard_3-0-0_104082_2016-09-20_final
2016-10-03 10:09:23	ga_ls8c_ard_3-0-0_099067_2016-10-03_final
2016-10-16 09:40:57	ga_ls8c_ard_3-0-0_094073_2016-10-16_final
2016-12-29 10:21:32	ga_ls8c_ard_3-0-0_100082_2016-12-29_final
2017-02-21 11:17:49	ga_ls8c_ard_3-0-0_110069_2017-02-21_final
2017-03-28 10:09:08	ga_ls8c_ard_3-0-0_099068_2017-03-28_final
2017-04-02 10:33:13	ga_ls8c_ard_3-0-0_102082_2017-04-02_final
2017-09-03 11:08:03	ga_ls8c_ard_3-0-0_108075_2017-09-03_final
2017-10-15 10:02:50	ga_ls8c_ard_3-2-1_098066_2017-10-15_final
2017-11-14 10:22:21	ga_ls8c_ard_3-0-0_100084_2017-11-14_final
2017-12-01 11:05:06	ga_ls8c_ard_3-0-0_107083_2017-12-01_final
2017-12-25 10:15:42	ga_ls8c_ard_3-0-0_099083_2017-12-25_final
2017-12-30 10:30:14	ga_ls8c_ard_3-0-0_102073_2017-12-30_final
2018-02-24 11:23:38	ga_ls8c_ard_3-0-0_110084_2018-02-24_final
2018-04-23 10:16:09	ga_ls8c_ard_3-0-0_100071_2018-04-23_final
2018-08-31 11:41:23	ga_ls8c_ard_3-0-0_114067_2018-08-31_final
2018-09-30 10:17:50	ga_ls8c_ard_3-0-0_100074_2018-09-30_final
2018-12-18 11:17:35	ga_ls8c_ard_3-0-0_109084_2018-12-18_final
2018-12-26 10:22:58	ga_ls8c_ard_3-0-0_101071_2018-12-26_final
2019-02-02 11:28:39	ga_ls8c_ard_3-0-0_111081_2019-02-02_final
2019-02-14 10:09:16	ga_ls8c_ard_3-0-0_099068_2019-02-14_final
2019-03-06 11:23:21	ga_ls8c_ard_3-0-0_111068_2019-03-06_final
2019-03-08 11:13:22	ga_ls8c_ard_3-1-0_109074_2019-03-08_final
2019-03-18 11:50:48	ga_ls8c_ard_3-1-0_115075_2019-03-18_final
2019-03-28 10:48:34	ga_ls8c_ard_3-1-0_105074_2019-03-28_final
2019-04-06 10:39:57	ga_ls8c_ard_3-1-0_104068_2019-04-06_final
2019-07-03 11:30:35	ga_ls8c_ard_3-1-0_112070_2019-07-03_final
2019-08-15 11:17:27	ga_ls8c_ard_3-1-0_109083_2019-08-15_final
2019-10-06 10:50:10	ga_ls8c_ard_3-1-0_105076_2019-10-06_final
2019-10-06 10:52:34	ga_ls8c_ard_3-1-0_105082_2019-10-06_final
2019-12-03 11:29:12	ga_ls8c_ard_3-1-0_111081_2019-12-03_final
2019-12-12 09:38:32	ga_ls8c_ard_3-1-0_094067_2019-12-12_final
2020-01-28 10:34:22	ga_ls8c_ard_3-1-0_103068_2020-01-28_final
2020-02-10 11:41:53	ga_ls8c_ard_3-1-0_114067_2020-02-10_final
2020-02-27 10:49:23	ga_ls8c_ard_3-1-0_105075_2020-02-27_final
2020-03-11 10:18:24	ga_ls8c_ard_3-1-0_100075_2020-03-11_final
2020-04-02 11:23:35	ga_ls8c_ard_3-1-0_110084_2020-04-02_final
2020-06-05 09:40:34	ga_ls8c_ard_3-1-0_094074_2020-06-05_final
2020-08-13 11:35:39	ga_ls8c_ard_3-1-0_113067_2020-08-13_final
2020-09-04 11:02:20	ga_ls8c_ard_3-1-0_107076_2020-09-04_final
2020-09-05 10:09:55	ga_ls8c_ard_3-1-0_098084_2020-09-05_final
2020-09-06 10:49:59	ga_ls8c_ard_3-1-0_105076_2020-09-06_final
2020-09-25 09:40:31	ga_ls8c_ard_3-1-0_094072_2020-09-25_final
2020-10-12 10:23:25	ga_ls8c_ard_3-1-0_101071_2020-10-12_final
2021-01-01 09:29:20	ga_ls8c_ard_3-2-0_092075_2020-12-31_final
2021-01-25 10:17:03	ga_ls8c_ard_3-2-0_100071_2021-01-25_final
2021-02-02 11:07:16	ga_ls8c_ard_3-2-0_108073_2021-02-02_final
2021-04-14 09:40:08	ga_ls8c_ard_3-2-0_093088_2021-04-14_final
2021-05-25 09:34:20	ga_ls8c_ard_3-2-0_092089_2021-05-25_final
2021-07-24 11:30:40	ga_ls8c_ard_3-2-0_112070_2021-07-24_final
2021-08-07 11:45:07	ga_ls8c_ard_3-2-0_114075_2021-08-07_final
2021-09-16 10:56:16	ga_ls8c_ard_3-2-0_106076_2021-09-16_final
2021-11-17 09:34:59	ga_ls8c_ard_3-2-0_092089_2021-11-17_final
2021-12-02 10:25:03	ga_ls8c_ard_3-2-0_101075_2021-12-02_final
2022-03-02 12:37:28	ga_ls8c_ard_3-2-1_123067_2022-03-02_final
2022-03-14 09:52:20	ga_ls8c_ard_3-2-1_095087_2022-03-14_final
2022-03-18 09:24:23	ga_ls8c_ard_3-2-1_091079_2022-03-17_final
2022-04-15 09:52:14	ga_ls8c_ard_3-2-1_095087_2022-04-15_final
2022-06-15 10:55:45	ga_ls8c_ard_3-2-1_106075_2022-06-15_final
2022-07-23 11:58:54	ga_ls8c_ard_3-2-1_116078_2022-07-23_final
2022-07-30 10:23:53	ga_ls8c_ard_3-2-1_101072_2022-07-30_final
2022-09-06 09:46:58	ga_ls8c_ard_3-2-1_095072_2022-09-06_final
2022-10-03 11:08:58	ga_ls8c_ard_3-2-1_108076_2022-10-03_final
2022-10-12 09:27:47	ga_ls8c_ard_3-2-1_091086_2022-10-11_final
2023-03-18 10:30:47	ga_ls8c_ard_3-2-1_102075_2023-03-18_final
2023-06-25 09:21:36	ga_ls8c_ard_3-2-1_091073_2023-06-24_final
2023-07-19 10:08:50	ga_ls8c_ard_3-2-1_099067_2023-07-19_final
2023-07-23 09:45:44	ga_ls8c_ard_3-2-1_095071_2023-07-23_final
2023-08-30 10:49:24	ga_ls8c_ard_3-2-1_105075_2023-08-30_final
2023-09-01 10:35:50	ga_ls8c_ard_3-2-1_103072_2023-09-01_final
2024-01-04 10:04:14	ga_ls8c_ard_3-2-1_098070_2024-01-04_final
2024-01-21 09:11:24	ga_ls8c_ard_3-2-1_089077_2024-01-20_final
2024-02-16 11:26:09	ga_ls8c_ard_3-2-1_111074_2024-02-16_final
2024-03-23 09:24:59	ga_ls8c_ard_3-2-1_091081_2024-03-22_final
2024-03-24 10:03:26	ga_ls8c_ard_3-2-1_098069_2024-03-24_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