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

97 results

Time (local)	Label
2013-07-09 10:03:09	ga_ls8c_ard_3-0-0_097078_2013-07-09_final
2014-01-23 09:25:37	ga_ls8c_ard_3-0-0_091079_2014-01-22_final
2014-04-27 11:13:32	ga_ls8c_ard_3-0-0_109074_2014-04-27_final
2014-08-04 10:09:20	ga_ls8c_ard_3-0-0_098083_2014-08-04_final
2014-09-16 11:24:38	ga_ls8c_ard_3-0-0_111070_2014-09-16_final
2015-01-10 09:22:08	ga_ls8c_ard_3-0-0_091073_2015-01-09_final
2015-01-28 09:14:04	ga_ls8c_ard_3-0-0_089084_2015-01-27_final
2015-04-16 09:19:28	ga_ls8c_ard_3-0-0_091068_2015-04-15_final
2015-06-05 10:48:35	ga_ls8c_ard_3-0-0_105075_2015-06-05_final
2015-08-11 11:18:47	ga_ls8c_ard_3-0-0_110072_2015-08-11_final
2016-01-05 10:10:00	ga_ls8c_ard_3-0-0_099069_2016-01-05_final
2016-01-27 11:13:48	ga_ls8c_ard_3-0-0_109074_2016-01-27_final
2016-02-05 09:34:17	ga_ls8c_ard_3-0-0_092088_2016-02-05_final
2016-02-12 11:14:06	ga_ls8c_ard_3-0-0_109075_2016-02-12_final
2016-03-06 11:19:47	ga_ls8c_ard_3-0-0_110074_2016-03-06_final
2016-03-21 10:34:02	ga_ls8c_ard_3-0-0_103068_2016-03-21_final
2016-03-31 09:31:42	ga_ls8c_ard_3-0-0_093067_2016-03-31_final
2016-04-21 09:52:07	ga_ls8c_ard_3-0-0_096072_2016-04-21_final
2016-04-29 10:45:35	ga_ls8c_ard_3-0-0_104082_2016-04-29_final
2016-06-07 10:48:41	ga_ls8c_ard_3-0-0_105074_2016-06-07_final
2016-06-10 09:39:55	ga_ls8c_ard_3-0-0_094072_2016-06-10_final
2016-08-09 10:03:23	ga_ls8c_ard_3-0-0_098068_2016-08-09_final
2016-08-09 10:09:22	ga_ls8c_ard_3-0-0_098083_2016-08-09_final
2016-10-16 11:18:14	ga_ls8c_ard_3-0-0_110069_2016-10-16_final
2016-11-13 10:04:52	ga_ls8c_ard_3-1-0_098071_2016-11-13_final
2016-11-15 11:31:00	ga_ls8c_ard_3-0-0_112070_2016-11-15_final
2016-11-21 09:17:26	ga_ls8c_ard_3-0-0_090076_2016-11-20_final
2016-12-05 09:34:34	ga_ls8c_ard_3-0-0_092088_2016-12-05_final
2016-12-18 10:34:30	ga_ls8c_ard_3-0-0_103068_2016-12-18_final
2017-04-03 11:13:41	ga_ls8c_ard_3-1-0_109075_2017-04-03_final
2017-05-31 11:50:48	ga_ls8c_ard_3-0-0_115075_2017-05-31_final
2017-08-28 10:10:14	ga_ls8c_ard_3-0-0_098085_2017-08-28_final
2017-09-27 10:19:06	ga_ls8c_ard_3-0-0_100076_2017-09-27_final
2017-12-14 10:29:50	ga_ls8c_ard_3-0-0_102072_2017-12-14_final
2017-12-23 10:24:53	ga_ls8c_ard_3-0-0_101075_2017-12-23_final
2017-12-25 10:08:55	ga_ls8c_ard_3-2-1_099066_2017-12-25_final
2018-01-07 11:18:25	ga_ls8c_ard_3-0-0_110070_2018-01-07_final
2018-01-13 10:42:54	ga_ls8c_ard_3-0-0_104074_2018-01-13_final
2018-03-19 09:51:56	ga_ls8c_ard_3-0-0_095087_2018-03-19_final
2018-05-11 10:08:24	ga_ls8c_ard_3-0-0_098083_2018-05-11_final
2018-06-13 09:09:23	ga_ls8c_ard_3-0-0_089075_2018-06-12_final
2018-06-27 09:19:06	ga_ls8c_ard_3-0-0_091068_2018-06-26_final
2018-08-24 09:56:40	ga_ls8c_ard_3-0-0_097068_2018-08-24_final
2018-08-25 10:41:56	ga_ls8c_ard_3-0-0_104073_2018-08-25_final
2018-09-26 09:06:02	ga_ls8c_ard_3-0-0_088080_2018-09-25_final
2018-10-21 10:35:43	ga_ls8c_ard_3-0-0_103072_2018-10-21_final
2018-12-13 09:21:21	ga_ls8c_ard_3-0-0_090087_2018-12-12_final
2018-12-13 10:58:15	ga_ls8c_ard_3-0-0_106082_2018-12-13_final
2019-02-27 11:19:36	ga_ls8c_ard_3-0-0_110074_2019-02-27_final
2019-04-03 10:09:52	ga_ls8c_ard_3-1-0_099070_2019-04-03_final
2019-04-07 09:46:19	ga_ls8c_ard_3-1-0_095073_2019-04-07_final
2019-04-07 09:51:30	ga_ls8c_ard_3-1-0_095086_2019-04-07_final
2019-04-16 11:22:57	ga_ls8c_ard_3-1-0_110083_2019-04-16_final
2019-05-01 10:33:40	ga_ls8c_ard_3-0-0_103068_2019-05-01_final
2019-05-15 09:11:41	ga_ls8c_ard_3-0-0_089079_2019-05-14_final
2019-09-17 10:17:11	ga_ls8c_ard_3-1-0_100071_2019-09-17_final
2019-10-09 09:40:12	ga_ls8c_ard_3-1-0_094071_2019-10-09_final
2019-10-13 09:21:53	ga_ls8c_ard_3-1-0_090087_2019-10-12_final
2019-10-16 11:24:53	ga_ls8c_ard_3-1-0_111070_2019-10-16_final
2019-10-24 10:40:14	ga_ls8c_ard_3-1-0_103082_2019-10-24_final
2019-11-08 09:57:21	ga_ls8c_ard_3-1-0_096083_2019-11-08_final
2019-11-12 09:29:25	ga_ls8c_ard_3-1-0_092075_2019-11-11_final
2019-12-03 09:47:07	ga_ls8c_ard_3-1-0_095073_2019-12-03_final
2020-07-04 10:50:00	ga_ls8c_ard_3-1-0_105077_2020-07-04_final
2020-08-04 10:07:18	ga_ls8c_ard_3-1-0_098078_2020-08-04_final
2020-10-14 10:11:28	ga_ls8c_ard_3-1-0_099072_2020-10-14_final
2020-11-21 11:14:02	ga_ls8c_ard_3-1-0_109074_2020-11-21_final
2021-01-01 09:32:56	ga_ls8c_ard_3-2-0_092084_2021-01-01_final
2021-04-04 10:34:01	ga_ls8c_ard_3-2-0_103068_2021-04-04_final
2021-04-08 10:13:15	ga_ls8c_ard_3-2-0_099078_2021-04-08_final
2021-05-03 10:06:52	ga_ls8c_ard_3-2-0_098078_2021-05-03_final
2021-05-14 11:22:52	ga_ls8c_ard_3-2-0_111067_2021-05-14_final
2021-05-27 09:20:48	ga_ls8c_ard_3-2-0_090086_2021-05-26_final
2021-06-28 09:21:23	ga_ls8c_ard_3-2-0_090087_2021-06-27_final
2021-08-11 11:19:38	ga_ls8c_ard_3-2-0_110073_2021-08-11_final
2021-08-11 11:20:26	ga_ls8c_ard_3-2-0_110075_2021-08-11_final
2021-08-20 09:39:48	ga_ls8c_ard_3-2-0_093086_2021-08-20_final
2021-10-14 09:46:14	ga_ls8c_ard_3-2-0_094086_2021-10-14_final
2021-11-01 09:30:17	ga_ls8c_ard_3-2-0_092077_2021-11-01_final
2021-12-14 09:10:28	ga_ls8c_ard_3-2-1_089074_2021-12-13_final
2022-01-07 09:58:13	ga_ls8c_ard_3-2-1_097070_2022-01-07_final
2022-04-30 09:06:30	ga_ls8c_ard_3-2-1_088081_2022-04-29_final
2022-05-01 11:23:53	ga_ls8c_ard_3-2-1_111069_2022-05-01_final
2022-06-11 09:40:21	ga_ls8c_ard_3-2-1_094072_2022-06-11_final
2022-11-15 10:50:45	ga_ls8c_ard_3-2-1_105077_2022-11-15_final
2022-11-22 09:21:38	ga_ls8c_ard_3-2-1_090086_2022-11-21_final
2022-12-31 09:23:42	ga_ls8c_ard_3-2-1_091076_2022-12-30_final
2023-03-31 10:03:20	ga_ls8c_ard_3-2-1_097084_2023-03-31_final
2023-04-12 10:27:02	ga_ls8c_ard_3-2-1_101082_2023-04-12_final
2023-08-10 09:39:29	ga_ls8c_ard_3-2-1_093086_2023-08-10_final
2023-08-13 10:04:26	ga_ls8c_ard_3-2-1_098071_2023-08-13_final
2023-09-20 11:08:01	ga_ls8c_ard_3-2-1_108075_2023-09-20_final
2023-10-22 09:29:37	ga_ls8c_ard_3-2-1_092076_2023-10-21_final
2023-11-18 10:46:50	ga_ls8c_ard_3-2-1_105068_2023-11-18_final
2023-11-19 11:32:30	ga_ls8c_ard_3-2-1_112074_2023-11-19_final
2023-12-16 11:17:07	ga_ls8c_ard_3-2-1_109082_2023-12-16_final
2024-03-16 09:16:55	ga_ls8c_ard_3-2-1_090076_2024-03-15_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