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
2013-04-03 11:27:12	ga_ls8c_ard_3-0-0_111073_2013-04-03_final
2013-08-18 10:51:01	ga_ls8c_ard_3-0-0_105074_2013-08-18_final
2013-10-31 11:27:49	ga_ls8c_ard_3-0-0_111074_2013-10-31_final
2014-03-21 10:56:00	ga_ls8c_ard_3-0-0_106075_2014-03-21_final
2015-05-21 11:31:43	ga_ls8c_ard_3-0-0_112075_2015-05-21_final
2015-05-30 11:26:22	ga_ls8c_ard_3-0-0_111077_2015-05-30_final
2015-07-21 11:04:32	ga_ls8c_ard_3-0-0_107083_2015-07-21_final
2015-08-08 10:49:02	ga_ls8c_ard_3-0-0_105075_2015-08-08_final
2015-10-30 11:18:01	ga_ls8c_ard_3-0-0_110069_2015-10-30_final
2015-11-04 11:40:57	ga_ls8c_ard_3-0-0_113080_2015-11-04_final
2015-12-17 11:19:15	ga_ls8c_ard_3-0-0_110072_2015-12-17_final
2016-03-29 11:24:58	ga_ls8c_ard_3-0-0_111072_2016-03-29_final
2016-04-04 10:49:03	ga_ls8c_ard_3-0-0_105075_2016-04-04_final
2016-10-22 10:41:58	ga_ls8c_ard_3-0-0_104071_2016-10-22_final
2016-12-21 11:07:47	ga_ls8c_ard_3-0-0_108074_2016-12-21_final
2017-06-04 11:25:43	ga_ls8c_ard_3-0-0_111074_2017-06-04_final
2017-07-28 10:49:20	ga_ls8c_ard_3-0-0_105075_2017-07-28_final
2017-08-15 10:35:53	ga_ls8c_ard_3-0-0_103072_2017-08-15_final
2017-08-29 10:49:30	ga_ls8c_ard_3-0-0_105075_2017-08-29_final
2017-09-06 11:39:45	ga_ls8c_ard_3-0-0_113077_2017-09-06_final
2017-10-31 11:42:08	ga_ls8c_ard_3-0-0_114067_2017-10-31_final
2018-04-20 11:24:57	ga_ls8c_ard_3-0-0_111073_2018-04-20_final
2018-06-22 10:44:59	ga_ls8c_ard_3-0-0_104082_2018-06-22_final
2018-08-01 11:34:21	ga_ls8c_ard_3-0-0_112081_2018-08-01_final
2018-08-16 10:47:39	ga_ls8c_ard_3-0-0_105072_2018-08-16_final
2018-08-31 11:46:34	ga_ls8c_ard_3-0-0_114080_2018-08-31_final
2018-09-25 11:38:08	ga_ls8c_ard_3-0-0_113074_2018-09-25_final
2018-12-23 11:30:09	ga_ls8c_ard_3-0-0_112069_2018-12-23_final
2019-01-14 10:53:50	ga_ls8c_ard_3-0-0_106071_2019-01-14_final
2019-03-05 10:40:05	ga_ls8c_ard_3-0-0_104068_2019-03-05_final
2019-09-16 11:14:24	ga_ls8c_ard_3-1-0_109075_2019-09-16_final
2019-10-19 11:58:59	ga_ls8c_ard_3-1-0_116078_2019-10-19_final
2019-11-26 11:19:49	ga_ls8c_ard_3-1-0_110073_2019-11-26_final
2020-01-20 11:25:26	ga_ls8c_ard_3-1-0_111072_2020-01-20_final
2020-01-26 10:47:08	ga_ls8c_ard_3-1-0_105069_2020-01-26_final
2020-02-25 11:05:21	ga_ls8c_ard_3-1-0_107084_2020-02-25_final
2020-07-05 11:30:29	ga_ls8c_ard_3-1-0_112070_2020-07-05_final
2020-12-16 09:26:37	ga_ls8c_ard_3-1-0_092068_2020-12-15_final
2021-01-02 10:13:24	ga_ls8c_ard_3-2-0_099077_2021-01-02_final
2021-01-26 09:23:25	ga_ls8c_ard_3-2-0_091076_2021-01-25_final
2021-02-02 09:28:47	ga_ls8c_ard_3-2-0_092074_2021-02-01_final
2021-02-14 09:51:52	ga_ls8c_ard_3-2-0_096070_2021-02-14_final
2021-03-15 09:19:56	ga_ls8c_ard_3-2-0_091068_2021-03-14_final
2021-03-24 09:16:30	ga_ls8c_ard_3-2-0_090075_2021-03-23_final
2021-03-25 10:03:45	ga_ls8c_ard_3-2-0_097085_2021-03-25_final
2021-04-15 10:17:00	ga_ls8c_ard_3-2-0_100072_2021-04-15_final
2021-04-18 09:16:10	ga_ls8c_ard_3-2-0_089090_2021-04-17_final
2021-04-23 09:32:17	ga_ls8c_ard_3-2-0_092084_2021-04-23_final
2021-05-14 09:51:58	ga_ls8c_ard_3-2-0_095087_2021-05-14_final
2021-06-28 09:21:47	ga_ls8c_ard_3-2-0_090088_2021-06-27_final
2021-07-12 09:33:45	ga_ls8c_ard_3-2-0_092087_2021-07-12_final
2021-09-07 09:23:08	ga_ls8c_ard_3-2-0_091075_2021-09-06_final
2021-09-26 11:30:59	ga_ls8c_ard_3-2-0_112070_2021-09-26_final
2021-10-12 11:35:52	ga_ls8c_ard_3-2-0_112082_2021-10-12_final
2021-10-17 10:14:45	ga_ls8c_ard_3-2-0_099080_2021-10-17_final
2021-10-21 11:24:55	ga_ls8c_ard_3-2-0_111070_2021-10-21_final
2021-10-23 09:34:53	ga_ls8c_ard_3-2-0_093073_2021-10-23_final
2021-11-26 11:02:07	ga_ls8c_ard_3-2-0_107075_2021-11-26_final
2021-12-01 11:20:40	ga_ls8c_ard_3-2-0_110075_2021-12-01_final
2021-12-03 09:29:25	ga_ls8c_ard_3-2-0_092075_2021-12-02_final
2022-01-29 09:22:37	ga_ls8c_ard_3-2-1_091074_2022-01-28_final
2022-02-04 10:24:25	ga_ls8c_ard_3-2-1_101074_2022-02-04_final
2022-02-07 09:21:13	ga_ls8c_ard_3-2-1_090086_2022-02-06_final
2022-03-20 09:12:00	ga_ls8c_ard_3-2-1_089079_2022-03-19_final
2022-04-17 11:16:45	ga_ls8c_ard_3-2-1_109082_2022-04-17_final
2022-04-29 09:57:19	ga_ls8c_ard_3-2-1_097069_2022-04-29_final
2022-05-09 10:34:08	ga_ls8c_ard_3-2-1_103068_2022-05-09_final
2022-06-15 09:17:40	ga_ls8c_ard_3-2-1_090077_2022-06-14_final
2022-07-15 09:34:04	ga_ls8c_ard_3-2-1_092087_2022-07-15_final
2022-07-30 10:23:53	ga_ls8c_ard_3-2-1_101072_2022-07-30_final
2022-08-21 11:30:37	ga_ls8c_ard_3-2-1_111084_2022-08-21_final
2022-08-26 11:47:57	ga_ls8c_ard_3-2-1_114081_2022-08-26_final
2022-09-03 09:20:49	ga_ls8c_ard_3-2-1_090084_2022-09-02_final
2022-10-02 10:23:43	ga_ls8c_ard_3-2-1_101071_2022-10-02_final
2022-11-14 10:05:06	ga_ls8c_ard_3-2-1_098071_2022-11-14_final
2022-11-20 09:31:35	ga_ls8c_ard_3-2-1_092080_2022-11-20_final
2022-12-07 10:14:28	ga_ls8c_ard_3-2-1_099079_2022-12-07_final
2022-12-17 10:49:52	ga_ls8c_ard_3-2-1_105075_2022-12-17_final
2023-01-15 10:19:13	ga_ls8c_ard_3-2-1_100076_2023-01-15_final
2023-01-23 09:29:00	ga_ls8c_ard_3-2-1_092074_2023-01-22_final
2023-02-03 09:12:30	ga_ls8c_ard_3-2-1_089079_2023-02-02_final
2023-02-09 11:52:45	ga_ls8c_ard_3-2-1_115078_2023-02-09_final
2023-02-10 10:55:31	ga_ls8c_ard_3-2-1_106074_2023-02-10_final
2023-02-19 10:46:48	ga_ls8c_ard_3-2-1_105068_2023-02-19_final
2023-02-26 10:54:26	ga_ls8c_ard_3-2-1_106072_2023-02-26_final
2023-03-17 09:46:45	ga_ls8c_ard_3-2-1_095073_2023-03-17_final
2023-04-04 09:33:46	ga_ls8c_ard_3-2-1_093072_2023-04-04_final
2023-04-07 10:03:24	ga_ls8c_ard_3-2-1_098069_2023-04-07_final
2023-04-07 11:46:41	ga_ls8c_ard_3-2-1_114080_2023-04-07_final
2023-05-28 10:35:09	ga_ls8c_ard_3-2-1_103072_2023-05-28_final
2023-05-30 10:23:36	ga_ls8c_ard_3-2-1_101074_2023-05-30_final
2023-08-06 11:38:18	ga_ls8c_ard_3-2-1_113074_2023-08-06_final
2023-09-21 10:15:59	ga_ls8c_ard_3-2-1_099084_2023-09-21_final
2023-10-01 09:11:51	ga_ls8c_ard_3-2-1_089078_2023-09-30_final
2023-10-22 11:07:42	ga_ls8c_ard_3-2-1_108074_2023-10-22_final
2023-10-24 09:22:04	ga_ls8c_ard_3-2-1_090088_2023-10-23_final
2023-10-25 09:57:22	ga_ls8c_ard_3-2-1_097068_2023-10-25_final
2024-01-03 09:26:58	ga_ls8c_ard_3-2-1_091085_2024-01-02_final
2024-01-28 09:19:30	ga_ls8c_ard_3-2-1_090082_2024-01-27_final
2024-02-23 09:57:25	ga_ls8c_ard_3-2-1_096084_2024-02-23_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