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
2013-08-28 09:54:26	ga_ls8c_ard_3-0-0_095087_2013-08-28_final
2014-11-19 09:51:46	ga_ls8c_ard_3-0-0_095085_2014-11-19_final
2019-04-07 09:51:06	ga_ls8c_ard_3-1-0_095085_2019-04-07_final
2019-04-23 09:51:00	ga_ls8c_ard_3-0-0_095085_2019-04-23_final
2019-11-01 09:51:35	ga_ls8c_ard_3-1-0_095084_2019-11-01_final
2020-02-21 09:51:36	ga_ls8c_ard_3-1-0_095085_2020-02-21_final
2021-03-04 09:42:59	ga_ls8c_ard_3-2-0_094079_2021-03-04_final
2021-03-04 09:43:23	ga_ls8c_ard_3-2-0_094080_2021-03-04_final
2021-03-06 09:30:12	ga_ls8c_ard_3-2-0_092078_2021-03-06_final
2021-03-09 10:03:04	ga_ls8c_ard_3-2-0_097083_2021-03-09_final
2021-03-11 11:26:47	ga_ls8c_ard_3-2-0_111076_2021-03-11_final
2021-03-11 11:27:11	ga_ls8c_ard_3-2-0_111077_2021-03-11_final
2021-03-11 11:28:22	ga_ls8c_ard_3-2-0_111080_2021-03-11_final
2021-03-12 10:31:09	ga_ls8c_ard_3-2-0_102076_2021-03-12_final
2021-03-16 10:08:23	ga_ls8c_ard_3-2-0_098081_2021-03-16_final
2021-03-19 10:36:28	ga_ls8c_ard_3-2-0_103074_2021-03-19_final
2021-03-20 09:42:02	ga_ls8c_ard_3-2-0_094077_2021-03-20_final
2021-03-22 11:08:33	ga_ls8c_ard_3-2-0_108077_2021-03-22_final
2021-03-25 11:38:39	ga_ls8c_ard_3-2-0_113075_2021-03-25_final
2021-03-26 10:43:49	ga_ls8c_ard_3-2-0_104077_2021-03-26_final
2021-03-26 10:44:37	ga_ls8c_ard_3-2-0_104079_2021-03-26_final
2021-03-27 09:47:48	ga_ls8c_ard_3-2-0_095076_2021-03-27_final
2021-03-29 09:38:13	ga_ls8c_ard_3-2-0_093083_2021-03-29_final
2021-03-29 11:15:30	ga_ls8c_ard_3-2-0_109079_2021-03-29_final
2021-03-31 11:04:20	ga_ls8c_ard_3-2-0_107082_2021-03-31_final
2021-04-01 10:06:19	ga_ls8c_ard_3-2-0_098076_2021-04-01_final
2021-04-03 09:55:08	ga_ls8c_ard_3-2-0_096079_2021-04-03_final
2021-04-04 10:36:48	ga_ls8c_ard_3-2-0_103075_2021-04-04_final
2021-04-04 10:37:12	ga_ls8c_ard_3-2-0_103076_2021-04-04_final
2021-04-04 10:39:36	ga_ls8c_ard_3-2-0_103082_2021-04-04_final
2021-04-05 09:41:58	ga_ls8c_ard_3-2-0_094077_2021-04-05_final
2021-04-06 10:24:26	ga_ls8c_ard_3-2-0_101075_2021-04-06_final
2021-04-11 10:44:56	ga_ls8c_ard_3-2-0_104080_2021-04-11_final
2021-04-12 09:47:43	ga_ls8c_ard_3-2-0_095076_2021-04-12_final
2021-04-14 11:15:25	ga_ls8c_ard_3-2-0_109079_2021-04-14_final
2021-04-16 09:23:46	ga_ls8c_ard_3-2-0_091078_2021-04-15_final
2021-04-16 11:00:15	ga_ls8c_ard_3-2-0_107072_2021-04-16_final
2021-04-17 10:05:01	ga_ls8c_ard_3-2-0_098073_2021-04-17_final
2021-04-20 10:36:42	ga_ls8c_ard_3-2-0_103075_2021-04-20_final
2021-04-20 10:38:17	ga_ls8c_ard_3-2-0_103079_2021-04-20_final
2021-04-21 11:21:56	ga_ls8c_ard_3-2-0_110080_2021-04-21_final
2021-04-22 10:24:19	ga_ls8c_ard_3-2-0_101075_2021-04-22_final
2021-04-24 10:14:20	ga_ls8c_ard_3-2-0_099081_2021-04-24_final
2021-04-25 09:19:06	ga_ls8c_ard_3-2-0_090082_2021-04-24_final
2021-04-26 11:39:38	ga_ls8c_ard_3-2-0_113078_2021-04-26_final
2021-04-27 10:41:13	ga_ls8c_ard_3-2-0_104071_2021-04-27_final
2021-04-30 09:37:59	ga_ls8c_ard_3-2-0_093083_2021-04-30_final
2021-05-02 11:00:06	ga_ls8c_ard_3-2-0_107072_2021-05-02_final
2021-05-02 11:04:05	ga_ls8c_ard_3-2-0_107082_2021-05-02_final
2021-05-04 10:47:19	ga_ls8c_ard_3-2-0_105071_2021-05-04_final
2021-05-05 09:55:16	ga_ls8c_ard_3-2-0_096080_2021-05-05_final
2021-05-07 09:41:42	ga_ls8c_ard_3-2-0_094077_2021-05-07_final
2021-05-07 09:43:18	ga_ls8c_ard_3-2-0_094081_2021-05-07_final
2021-05-08 10:23:47	ga_ls8c_ard_3-2-0_101074_2021-05-08_final
2021-05-12 10:02:42	ga_ls8c_ard_3-2-0_097083_2021-05-12_final
2021-05-12 10:03:30	ga_ls8c_ard_3-2-0_097085_2021-05-12_final
2021-05-21 09:56:37	ga_ls8c_ard_3-2-0_096083_2021-05-21_final
2021-05-22 10:36:18	ga_ls8c_ard_3-2-0_103074_2021-05-22_final
2021-05-23 09:41:53	ga_ls8c_ard_3-2-0_094077_2021-05-23_final
2021-05-23 09:43:05	ga_ls8c_ard_3-2-0_094080_2021-05-23_final
2021-05-29 10:44:08	ga_ls8c_ard_3-2-0_104078_2021-05-29_final
2021-05-31 10:32:12	ga_ls8c_ard_3-2-0_102079_2021-05-31_final
2021-06-02 10:18:39	ga_ls8c_ard_3-2-0_100076_2021-06-02_final
2023-02-06 09:44:59	ga_ls8c_ard_3-2-1_094083_2023-02-06_final
2023-02-11 11:40:46	ga_ls8c_ard_3-2-1_113079_2023-02-11_final
2023-02-19 10:51:12	ga_ls8c_ard_3-2-1_105079_2023-02-19_final
2023-02-21 10:36:48	ga_ls8c_ard_3-2-1_103074_2023-02-21_final
2023-02-21 10:37:12	ga_ls8c_ard_3-2-1_103075_2023-02-21_final
2023-02-27 10:02:49	ga_ls8c_ard_3-2-1_097082_2023-02-27_final
2023-03-01 11:28:08	ga_ls8c_ard_3-2-1_111079_2023-03-01_final
2023-03-02 10:32:31	ga_ls8c_ard_3-2-1_102079_2023-03-02_final
2023-03-04 11:58:13	ga_ls8c_ard_3-2-1_116077_2023-03-04_final
2023-03-07 10:51:24	ga_ls8c_ard_3-2-1_105080_2023-03-07_final
2023-03-12 11:08:19	ga_ls8c_ard_3-2-1_108076_2023-03-12_final
2023-03-17 09:47:56	ga_ls8c_ard_3-2-1_095076_2023-03-17_final
2023-03-17 11:26:49	ga_ls8c_ard_3-2-1_111076_2023-03-17_final
2023-03-18 10:31:59	ga_ls8c_ard_3-2-1_102078_2023-03-18_final
2023-03-25 10:36:52	ga_ls8c_ard_3-2-1_103075_2023-03-25_final
2023-03-27 10:26:06	ga_ls8c_ard_3-2-1_101079_2023-03-27_final
2023-03-31 10:00:09	ga_ls8c_ard_3-2-1_097076_2023-03-31_final
2023-04-03 10:31:48	ga_ls8c_ard_3-2-1_102078_2023-04-03_nrt
2023-04-03 10:32:12	ga_ls8c_ard_3-2-1_102079_2023-04-03_nrt
2023-04-08 10:51:02	ga_ls8c_ard_3-2-1_105080_2023-04-08_final
2023-04-16 11:38:23	ga_ls8c_ard_3-2-1_113075_2023-04-16_final
2023-04-18 11:27:12	ga_ls8c_ard_3-2-1_111078_2023-04-18_final
2023-04-18 11:28:48	ga_ls8c_ard_3-2-1_111082_2023-04-18_final
2023-04-27 09:40:56	ga_ls8c_ard_3-2-1_094075_2023-04-27_final
2023-04-30 10:11:24	ga_ls8c_ard_3-2-1_099074_2023-04-30_final
2023-05-02 11:38:19	ga_ls8c_ard_3-2-1_113075_2023-05-02_final
2023-05-03 10:40:41	ga_ls8c_ard_3-2-1_104070_2023-05-03_final
2023-05-18 09:59:37	ga_ls8c_ard_3-2-1_097076_2023-05-18_final
2023-05-18 10:01:37	ga_ls8c_ard_3-2-1_097081_2023-05-18_final
2023-05-18 11:39:18	ga_ls8c_ard_3-2-1_113078_2023-05-18_final
2023-05-20 11:27:45	ga_ls8c_ard_3-2-1_111080_2023-05-20_final
2023-05-22 09:36:56	ga_ls8c_ard_3-2-1_093081_2023-05-22_nrt
2023-05-25 10:07:50	ga_ls8c_ard_3-2-1_098081_2023-05-25_nrt
2023-05-27 09:55:29	ga_ls8c_ard_3-2-1_096081_2023-05-27_nrt
2023-05-29 11:21:37	ga_ls8c_ard_3-2-1_110080_2023-05-29_nrt
2023-05-31 09:29:10	ga_ls8c_ard_3-2-1_092077_2023-05-30_nrt
2023-05-31 09:29:58	ga_ls8c_ard_3-2-1_092079_2023-05-30_nrt

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