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
2014-03-05 09:18:28	ga_ls8c_ard_3-1-0_090078_2014-03-04_final
2016-06-02 10:31:20	ga_ls8c_ard_3-1-0_102077_2016-06-02_final
2017-07-27 10:06:52	ga_ls8c_ard_3-1-0_098077_2017-07-27_final
2019-03-25 11:58:09	ga_ls8c_ard_3-1-0_116078_2019-03-25_final
2019-03-29 09:56:08	ga_ls8c_ard_3-1-0_096082_2019-03-29_final
2019-04-12 11:46:06	ga_ls8c_ard_3-1-0_114079_2019-04-12_final
2019-04-18 09:25:43	ga_ls8c_ard_3-1-0_092068_2019-04-17_final
2019-06-21 09:32:07	ga_ls8c_ard_3-1-0_092083_2019-06-21_final
2019-06-26 09:46:41	ga_ls8c_ard_3-1-0_095073_2019-06-26_final
2019-07-18 09:11:40	ga_ls8c_ard_3-1-0_089078_2019-07-17_final
2019-07-30 11:11:46	ga_ls8c_ard_3-1-0_109069_2019-07-30_final
2019-08-02 10:07:48	ga_ls8c_ard_3-1-0_098079_2019-08-02_final
2019-08-03 10:52:16	ga_ls8c_ard_3-1-0_105082_2019-08-03_final
2019-08-06 09:45:06	ga_ls8c_ard_3-1-0_094084_2019-08-06_final
2019-08-16 10:21:02	ga_ls8c_ard_3-1-0_100081_2019-08-16_final
2019-08-17 09:26:37	ga_ls8c_ard_3-1-0_091084_2019-08-16_final
2019-08-26 09:21:40	ga_ls8c_ard_3-1-0_090087_2019-08-25_final
2019-09-02 09:22:17	ga_ls8c_ard_3-1-0_091073_2019-09-01_final
2019-09-04 10:46:25	ga_ls8c_ard_3-1-0_105067_2019-09-04_final
2019-09-10 11:51:03	ga_ls8c_ard_3-1-0_115074_2019-09-10_final
2019-09-14 09:51:28	ga_ls8c_ard_3-1-0_095084_2019-09-14_final
2019-09-18 09:25:34	ga_ls8c_ard_3-1-0_091081_2019-09-17_final
2019-10-01 10:29:13	ga_ls8c_ard_3-1-0_102070_2019-10-01_final
2019-10-07 09:56:57	ga_ls8c_ard_3-1-0_096082_2019-10-07_final
2019-10-12 10:10:43	ga_ls8c_ard_3-1-0_099070_2019-10-12_final
2019-10-17 10:29:16	ga_ls8c_ard_3-1-0_102070_2019-10-17_final
2019-10-21 10:04:09	ga_ls8c_ard_3-1-0_098069_2019-10-21_final
2019-10-21 10:04:33	ga_ls8c_ard_3-1-0_098070_2019-10-21_final
2019-11-05 11:02:33	ga_ls8c_ard_3-1-0_107076_2019-11-05_final
2019-11-06 10:07:19	ga_ls8c_ard_3-1-0_098077_2019-11-06_final
2019-11-12 11:06:18	ga_ls8c_ard_3-1-0_108070_2019-11-12_final
2019-11-17 09:46:21	ga_ls8c_ard_3-1-0_095071_2019-11-17_final
2019-11-17 11:25:14	ga_ls8c_ard_3-1-0_111071_2019-11-17_final
2019-11-20 11:58:54	ga_ls8c_ard_3-1-0_116078_2019-11-20_final
2019-11-21 11:01:17	ga_ls8c_ard_3-1-0_107073_2019-11-21_final
2019-11-22 11:46:32	ga_ls8c_ard_3-1-0_114078_2019-11-22_final
2019-11-23 10:52:31	ga_ls8c_ard_3-1-0_105082_2019-11-23_final
2019-11-24 09:56:30	ga_ls8c_ard_3-1-0_096081_2019-11-24_final
2019-11-24 09:57:17	ga_ls8c_ard_3-1-0_096083_2019-11-24_final
2019-12-01 11:37:58	ga_ls8c_ard_3-1-0_113072_2019-12-01_final
2019-12-03 11:25:12	ga_ls8c_ard_3-1-0_111071_2019-12-03_final
2019-12-08 10:03:16	ga_ls8c_ard_3-1-0_098067_2019-12-08_final
2019-12-10 11:36:10	ga_ls8c_ard_3-1-0_112083_2019-12-10_final
2019-12-23 11:01:14	ga_ls8c_ard_3-1-0_107073_2019-12-23_final
2019-12-28 11:23:20	ga_ls8c_ard_3-1-0_110082_2019-12-28_final
2020-01-02 11:40:15	ga_ls8c_ard_3-1-0_113078_2020-01-02_final
2020-01-05 10:28:40	ga_ls8c_ard_3-1-0_102069_2020-01-05_final
2020-01-15 11:06:31	ga_ls8c_ard_3-1-0_108071_2020-01-15_final
2020-01-17 09:18:52	ga_ls8c_ard_3-1-0_090080_2020-01-16_final
2020-01-26 09:16:38	ga_ls8c_ard_3-1-0_089090_2020-01-25_final
2020-02-01 11:51:17	ga_ls8c_ard_3-1-0_115075_2020-02-01_final
2020-02-11 10:48:15	ga_ls8c_ard_3-1-0_105072_2020-02-11_final
2020-02-12 09:52:14	ga_ls8c_ard_3-1-0_096071_2020-02-12_final
2020-02-25 11:01:45	ga_ls8c_ard_3-1-0_107075_2020-02-25_final
2020-02-25 11:02:09	ga_ls8c_ard_3-1-0_107076_2020-02-25_final
2020-03-17 09:46:03	ga_ls8c_ard_3-1-0_094087_2020-03-17_final
2020-03-18 10:24:31	ga_ls8c_ard_3-1-0_101075_2020-03-18_final
2020-03-19 11:05:46	ga_ls8c_ard_3-1-0_108070_2020-03-19_final
2020-03-31 09:55:53	ga_ls8c_ard_3-1-0_096081_2020-03-31_final
2020-04-09 11:23:44	ga_ls8c_ard_3-1-0_111069_2020-04-09_final
2020-04-24 10:42:21	ga_ls8c_ard_3-1-0_104074_2020-04-24_final
2020-04-28 10:19:35	ga_ls8c_ard_3-1-0_100079_2020-04-28_final
2020-04-29 09:21:10	ga_ls8c_ard_3-1-0_091072_2020-04-28_final
2020-04-30 10:05:13	ga_ls8c_ard_3-1-0_098074_2020-04-30_final
2021-04-02 09:11:29	ga_ls8c_ard_3-2-0_089078_2021-04-01_final
2021-04-07 09:30:48	ga_ls8c_ard_3-2-0_092080_2021-04-07_final
2021-04-15 10:19:47	ga_ls8c_ard_3-2-0_100079_2021-04-15_final
2021-05-10 10:13:50	ga_ls8c_ard_3-2-0_099080_2021-05-10_final
2021-05-13 09:06:18	ga_ls8c_ard_3-2-0_088081_2021-05-12_final
2021-05-18 11:03:22	ga_ls8c_ard_3-2-0_107080_2021-05-18_final
2021-05-30 11:29:00	ga_ls8c_ard_3-2-0_111082_2021-05-30_final
2021-06-03 11:04:43	ga_ls8c_ard_3-2-0_107083_2021-06-03_final
2021-06-05 09:15:53	ga_ls8c_ard_3-2-0_089089_2021-06-04_final
2021-06-22 11:34:32	ga_ls8c_ard_3-2-0_112080_2021-06-22_final
2021-06-26 11:05:26	ga_ls8c_ard_3-2-0_108069_2021-06-26_final
2021-07-03 09:34:44	ga_ls8c_ard_3-2-0_093074_2021-07-03_final
2021-07-10 11:18:13	ga_ls8c_ard_3-2-0_110070_2021-07-10_final
2021-07-24 11:30:16	ga_ls8c_ard_3-2-0_112069_2021-07-24_final
2021-08-02 11:25:21	ga_ls8c_ard_3-2-0_111072_2021-08-02_final
2021-08-11 11:23:13	ga_ls8c_ard_3-2-0_110082_2021-08-11_final
2021-08-14 11:51:45	ga_ls8c_ard_3-2-0_115076_2021-08-14_final
2021-09-03 11:23:32	ga_ls8c_ard_3-2-0_111067_2021-09-03_final
2021-10-20 09:06:46	ga_ls8c_ard_3-2-0_088080_2021-10-19_final
2021-10-24 10:20:32	ga_ls8c_ard_3-2-0_100079_2021-10-24_final
2021-10-24 11:59:01	ga_ls8c_ard_3-2-0_116078_2021-10-24_final
2021-10-30 09:46:38	ga_ls8c_ard_3-2-0_094087_2021-10-30_final
2021-11-14 10:35:24	ga_ls8c_ard_3-2-0_103070_2021-11-14_final
2021-11-19 10:55:07	ga_ls8c_ard_3-2-0_106073_2021-11-19_final
2021-11-23 10:28:49	ga_ls8c_ard_3-2-0_102069_2021-11-23_final
2021-12-12 11:02:55	ga_ls8c_ard_3-2-1_107077_2021-12-12_final
2022-03-30 09:49:44	ga_ls8c_ard_3-2-1_095081_2022-03-30_final
2022-04-12 09:18:55	ga_ls8c_ard_3-2-1_090081_2022-04-11_final
2022-04-15 11:29:07	ga_ls8c_ard_3-2-1_111082_2022-04-15_final
2022-04-18 10:17:08	ga_ls8c_ard_3-2-1_100072_2022-04-18_final
2022-05-14 09:19:01	ga_ls8c_ard_3-2-1_090081_2022-05-13_final
2022-05-16 10:42:45	ga_ls8c_ard_3-2-1_104074_2022-05-16_final
2022-05-21 09:26:01	ga_ls8c_ard_3-2-1_091083_2022-05-20_final
2022-06-02 09:51:36	ga_ls8c_ard_3-2-1_095085_2022-06-02_final
2022-06-08 09:16:36	ga_ls8c_ard_3-2-1_089090_2022-06-07_final
2022-06-19 10:30:40	ga_ls8c_ard_3-2-1_102074_2022-06-19_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