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
2020-03-21 12:31:05	ga_ls8c_ard_3-2-1_122067_2020-03-21_final
2021-08-02 08:10:47	ga_ls8c_ard_3-2-1_079080_2021-08-01_final
2021-12-28 12:37:44	ga_ls8c_ard_3-2-1_123067_2021-12-28_final
2022-09-25 11:58:02	ga_ls8c_ard_3-2-1_116075_2022-09-25_final
2022-10-30 09:16:21	ga_ls8c_ard_3-2-1_089088_2022-10-29_final
2023-02-04 11:34:38	ga_ls8c_ard_3-2-1_112079_2023-02-04_final
2023-03-19 09:38:21	ga_ls8c_ard_3-2-1_093083_2023-03-19_final
2023-03-21 11:05:14	ga_ls8c_ard_3-2-1_107084_2023-03-21_final
2023-06-11 09:15:08	ga_ls8c_ard_3-2-1_089088_2023-06-10_final
2023-06-29 10:35:01	ga_ls8c_ard_3-2-1_103071_2023-06-29_final
2023-06-30 11:23:53	ga_ls8c_ard_3-2-1_110085_2023-06-30_final
2023-07-09 09:35:19	ga_ls8c_ard_3-2-1_093076_2023-07-09_final
2023-07-12 10:05:50	ga_ls8c_ard_3-2-1_098075_2023-07-12_final
2023-07-14 09:54:41	ga_ls8c_ard_3-2-1_096078_2023-07-14_final
2023-07-18 09:29:10	ga_ls8c_ard_3-2-1_092076_2023-07-17_final
2023-07-18 11:08:03	ga_ls8c_ard_3-2-1_108076_2023-07-18_final
2023-07-20 10:56:05	ga_ls8c_ard_3-2-1_106077_2023-07-20_final
2023-07-20 10:57:40	ga_ls8c_ard_3-2-1_106081_2023-07-20_final
2023-07-22 10:44:08	ga_ls8c_ard_3-2-1_104078_2023-07-22_final
2023-07-27 09:23:52	ga_ls8c_ard_3-2-1_091078_2023-07-26_final
2023-07-29 10:50:49	ga_ls8c_ard_3-2-1_105079_2023-07-29_final
2023-07-31 10:38:04	ga_ls8c_ard_3-2-1_103078_2023-07-31_final
2023-07-31 10:38:28	ga_ls8c_ard_3-2-1_103079_2023-07-31_final
2023-08-02 10:24:32	ga_ls8c_ard_3-2-1_101075_2023-08-02_final
2023-08-03 09:30:06	ga_ls8c_ard_3-2-1_092078_2023-08-03_final
2023-08-05 10:56:14	ga_ls8c_ard_3-2-1_106077_2023-08-05_final
2023-08-07 10:44:41	ga_ls8c_ard_3-2-1_104079_2023-08-07_final
2023-08-07 10:45:29	ga_ls8c_ard_3-2-1_104081_2023-08-07_final
2023-08-09 10:31:31	ga_ls8c_ard_3-2-1_102077_2023-08-09_final
2023-08-10 09:36:17	ga_ls8c_ard_3-2-1_093078_2023-08-10_final
2023-08-18 10:23:26	ga_ls8c_ard_3-2-1_101072_2023-08-18_final
2023-08-19 11:08:18	ga_ls8c_ard_3-2-1_108076_2023-08-19_final
2023-08-20 10:11:53	ga_ls8c_ard_3-2-1_099074_2023-08-20_final
2023-08-24 11:27:17	ga_ls8c_ard_3-2-1_111077_2023-08-24_final
2023-08-26 11:12:32	ga_ls8c_ard_3-2-1_109071_2023-08-26_final
2023-08-31 09:52:35	ga_ls8c_ard_3-2-1_096072_2023-08-31_final
2023-08-31 09:52:59	ga_ls8c_ard_3-2-1_096073_2023-08-31_final
2023-09-04 09:32:14	ga_ls8c_ard_3-2-1_092083_2023-09-04_final
2023-09-04 11:10:43	ga_ls8c_ard_3-2-1_108082_2023-09-04_final
2023-09-07 10:02:19	ga_ls8c_ard_3-2-1_097081_2023-09-07_final
2023-09-13 11:02:36	ga_ls8c_ard_3-2-1_107077_2023-09-13_final
2023-09-15 10:47:52	ga_ls8c_ard_3-2-1_105071_2023-09-15_final
2023-09-19 10:26:45	ga_ls8c_ard_3-2-1_101080_2023-09-19_final
2023-09-20 09:31:55	ga_ls8c_ard_3-2-1_092082_2023-09-20_final
2023-09-22 10:56:27	ga_ls8c_ard_3-2-1_106077_2023-09-22_final
2023-09-26 10:32:10	ga_ls8c_ard_3-2-1_102078_2023-09-26_final
2023-09-28 10:20:37	ga_ls8c_ard_3-2-1_100080_2023-09-28_final
2023-09-29 11:02:41	ga_ls8c_ard_3-2-1_107077_2023-09-29_final
2023-10-02 09:57:06	ga_ls8c_ard_3-2-1_096083_2023-10-02_final
2023-10-04 09:41:56	ga_ls8c_ard_3-2-1_094076_2023-10-04_final
2023-10-06 09:30:46	ga_ls8c_ard_3-2-1_092079_2023-10-06_final
2023-10-06 11:08:51	ga_ls8c_ard_3-2-1_108077_2023-10-06_final
2023-10-11 09:50:09	ga_ls8c_ard_3-2-1_095081_2023-10-11_final
2023-10-11 09:51:21	ga_ls8c_ard_3-2-1_095084_2023-10-11_final
2023-10-13 11:15:29	ga_ls8c_ard_3-2-1_109078_2023-10-13_final
2023-10-16 10:08:42	ga_ls8c_ard_3-2-1_098081_2023-10-16_final
2023-10-22 09:30:01	ga_ls8c_ard_3-2-1_092077_2023-10-22_final
2023-10-22 09:30:49	ga_ls8c_ard_3-2-1_092079_2023-10-22_final
2023-10-22 09:32:01	ga_ls8c_ard_3-2-1_092082_2023-10-22_final
2023-10-23 10:12:30	ga_ls8c_ard_3-2-1_099075_2023-10-23_final
2023-10-24 10:58:10	ga_ls8c_ard_3-2-1_106081_2023-10-24_final
2023-10-27 09:51:24	ga_ls8c_ard_3-2-1_095084_2023-10-27_final
2023-11-03 09:55:11	ga_ls8c_ard_3-2-1_096078_2023-11-03_final
2023-11-04 10:36:51	ga_ls8c_ard_3-2-1_103074_2023-11-04_final
2023-11-04 10:38:26	ga_ls8c_ard_3-2-1_103078_2023-11-04_final
2023-11-05 09:41:37	ga_ls8c_ard_3-2-1_094075_2023-11-05_final
2023-11-14 11:15:54	ga_ls8c_ard_3-2-1_109079_2023-11-14_final
2023-11-30 11:12:21	ga_ls8c_ard_3-2-1_109070_2023-11-30_final
2023-12-04 10:51:09	ga_ls8c_ard_3-2-1_105079_2023-12-04_final
2023-12-07 09:42:18	ga_ls8c_ard_3-2-1_094077_2023-12-07_final
2023-12-15 10:32:15	ga_ls8c_ard_3-2-1_102078_2023-12-15_final
2023-12-19 10:06:45	ga_ls8c_ard_3-2-1_098076_2023-12-19_final
2023-12-19 10:08:45	ga_ls8c_ard_3-2-1_098081_2023-12-19_final
2023-12-21 09:57:12	ga_ls8c_ard_3-2-1_096083_2023-12-21_final
2023-12-28 10:02:56	ga_ls8c_ard_3-2-1_097082_2023-12-28_final
2024-01-08 11:22:00	ga_ls8c_ard_3-2-1_110079_2024-01-08_final
2024-01-21 10:51:05	ga_ls8c_ard_3-2-1_105079_2024-01-21_final
2024-01-22 09:56:15	ga_ls8c_ard_3-2-1_096081_2024-01-22_final
2024-01-22 11:33:32	ga_ls8c_ard_3-2-1_112077_2024-01-22_final
2024-01-23 10:38:42	ga_ls8c_ard_3-2-1_103079_2024-01-23_final
2024-01-24 09:43:51	ga_ls8c_ard_3-2-1_094081_2024-01-24_final
2024-01-24 11:21:32	ga_ls8c_ard_3-2-1_110078_2024-01-24_final
2024-01-24 11:23:32	ga_ls8c_ard_3-2-1_110083_2024-01-24_final
2024-01-31 09:47:15	ga_ls8c_ard_3-2-1_095074_2024-01-31_final
2024-02-13 09:19:59	ga_ls8c_ard_3-2-1_090083_2024-02-12_final
2024-02-14 09:58:50	ga_ls8c_ard_3-2-1_097072_2024-02-14_final
2024-02-16 11:26:57	ga_ls8c_ard_3-2-1_111076_2024-02-16_final
2024-02-18 11:15:47	ga_ls8c_ard_3-2-1_109079_2024-02-18_final
2024-02-25 09:45:51	ga_ls8c_ard_3-2-1_094086_2024-02-25_final
2024-02-28 10:14:43	ga_ls8c_ard_3-2-1_099081_2024-02-28_final
2024-02-29 09:19:05	ga_ls8c_ard_3-2-1_090081_2024-02-28_final
2024-03-01 09:59:56	ga_ls8c_ard_3-2-1_097075_2024-03-01_final
2024-03-05 09:36:20	ga_ls8c_ard_3-2-1_093078_2024-03-05_final
2024-03-21 09:35:47	ga_ls8c_ard_3-2-1_093077_2024-03-21_final
2024-03-27 10:38:14	ga_ls8c_ard_3-2-1_103079_2024-03-27_final
2024-03-30 09:30:15	ga_ls8c_ard_3-2-1_092079_2024-03-30_final
2024-03-30 11:07:57	ga_ls8c_ard_3-2-1_108076_2024-03-30_final
2024-03-31 10:11:56	ga_ls8c_ard_3-2-1_099075_2024-03-31_final
2024-04-03 10:42:26	ga_ls8c_ard_3-2-1_104074_2024-04-03_final
2024-04-04 09:50:24	ga_ls8c_ard_3-2-1_095083_2024-04-04_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