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
2016-11-12 12:37:47	ga_ls8c_ard_3-2-1_123067_2016-11-12_final
2016-12-30 12:37:41	ga_ls8c_ard_3-2-1_123067_2016-12-30_final
2021-05-01 08:41:57	ga_ls8c_ard_3-2-1_084082_2021-04-30_final
2022-09-25 11:58:02	ga_ls8c_ard_3-2-1_116075_2022-09-25_final
2023-03-04 11:57:25	ga_ls8c_ard_3-2-1_116075_2023-03-04_final
2023-05-23 08:41:43	ga_ls8c_ard_3-2-1_084082_2023-05-22_final
2023-06-11 09:15:08	ga_ls8c_ard_3-2-1_089088_2023-06-10_final
2023-10-30 11:57:36	ga_ls8c_ard_3-2-1_116075_2023-10-30_final
2023-12-21 09:53:12	ga_ls8c_ard_3-2-1_096073_2023-12-21_final
2023-12-23 09:42:02	ga_ls8c_ard_3-2-1_094076_2023-12-23_final
2023-12-25 11:10:33	ga_ls8c_ard_3-2-1_108081_2023-12-25_final
2023-12-28 10:00:33	ga_ls8c_ard_3-2-1_097076_2023-12-28_final
2023-12-29 10:42:12	ga_ls8c_ard_3-2-1_104072_2023-12-29_final
2023-12-30 09:48:09	ga_ls8c_ard_3-2-1_095076_2023-12-30_final
2023-12-30 09:50:33	ga_ls8c_ard_3-2-1_095082_2023-12-30_final
2024-01-02 10:18:37	ga_ls8c_ard_3-2-1_100075_2024-01-02_final
2024-01-03 09:24:10	ga_ls8c_ard_3-2-1_091078_2024-01-02_final
2024-01-04 10:08:13	ga_ls8c_ard_3-2-1_098080_2024-01-04_final
2024-01-06 09:55:51	ga_ls8c_ard_3-2-1_096080_2024-01-06_final
2024-01-06 09:56:39	ga_ls8c_ard_3-2-1_096082_2024-01-06_final
2024-01-06 11:33:56	ga_ls8c_ard_3-2-1_112078_2024-01-06_final
2024-01-10 09:32:22	ga_ls8c_ard_3-2-1_092083_2024-01-10_final
2024-01-10 11:07:16	ga_ls8c_ard_3-2-1_108073_2024-01-10_final
2024-01-10 11:10:51	ga_ls8c_ard_3-2-1_108082_2024-01-10_final
2024-01-12 09:19:13	ga_ls8c_ard_3-2-1_090081_2024-01-11_final
2024-01-12 10:56:06	ga_ls8c_ard_3-2-1_106076_2024-01-12_final
2024-01-12 10:57:42	ga_ls8c_ard_3-2-1_106080_2024-01-12_final
2024-01-25 10:25:54	ga_ls8c_ard_3-2-1_101078_2024-01-25_final
2024-01-26 09:29:52	ga_ls8c_ard_3-2-1_092077_2024-01-25_final
2024-01-26 09:31:04	ga_ls8c_ard_3-2-1_092080_2024-01-26_final
2024-01-28 10:58:23	ga_ls8c_ard_3-2-1_106082_2024-01-28_final
2024-01-29 10:03:11	ga_ls8c_ard_3-2-1_097083_2024-01-29_final
2024-01-31 11:27:20	ga_ls8c_ard_3-2-1_111077_2024-01-31_final
2024-02-01 10:30:32	ga_ls8c_ard_3-2-1_102074_2024-02-01_final
2024-02-02 09:38:54	ga_ls8c_ard_3-2-1_093084_2024-02-02_final
2024-02-04 09:24:10	ga_ls8c_ard_3-2-1_091078_2024-02-03_final
2024-02-04 11:01:51	ga_ls8c_ard_3-2-1_107075_2024-02-04_final
2024-02-08 10:36:21	ga_ls8c_ard_3-2-1_103073_2024-02-08_final
2024-02-11 09:29:57	ga_ls8c_ard_3-2-1_092077_2024-02-10_final
2024-02-11 11:07:15	ga_ls8c_ard_3-2-1_108073_2024-02-11_final
2024-02-13 10:57:40	ga_ls8c_ard_3-2-1_106080_2024-02-13_final
2024-02-14 10:00:26	ga_ls8c_ard_3-2-1_097076_2024-02-14_final
2024-02-14 10:03:14	ga_ls8c_ard_3-2-1_097083_2024-02-14_final
2024-02-14 11:41:19	ga_ls8c_ard_3-2-1_113081_2024-02-14_final
2024-02-16 09:48:04	ga_ls8c_ard_3-2-1_095076_2024-02-16_final
2024-02-16 09:50:03	ga_ls8c_ard_3-2-1_095081_2024-02-16_final
2024-02-16 11:26:57	ga_ls8c_ard_3-2-1_111076_2024-02-16_final
2024-02-19 10:21:22	ga_ls8c_ard_3-2-1_100082_2024-02-19_final
2024-02-20 09:24:08	ga_ls8c_ard_3-2-1_091078_2024-02-19_final
2024-02-24 10:36:41	ga_ls8c_ard_3-2-1_103074_2024-02-24_final
2024-02-25 09:44:39	ga_ls8c_ard_3-2-1_094083_2024-02-25_final
2024-02-25 11:20:44	ga_ls8c_ard_3-2-1_110076_2024-02-25_final
2024-02-26 10:25:54	ga_ls8c_ard_3-2-1_101078_2024-02-26_final
2024-02-27 09:32:16	ga_ls8c_ard_3-2-1_092083_2024-02-27_final
2024-02-27 09:33:28	ga_ls8c_ard_3-2-1_092086_2024-02-27_final
2024-02-28 10:15:55	ga_ls8c_ard_3-2-1_099084_2024-02-28_final
2024-02-29 10:57:58	ga_ls8c_ard_3-2-1_106081_2024-02-29_final
2024-02-29 12:31:16	ga_ls8c_ard_3-2-1_122067_2024-02-29_final
2024-03-03 09:47:56	ga_ls8c_ard_3-2-1_095076_2024-03-03_final
2024-03-03 09:50:20	ga_ls8c_ard_3-2-1_095082_2024-03-03_final
2024-03-03 11:30:01	ga_ls8c_ard_3-2-1_111084_2024-03-03_final
2024-03-04 10:31:11	ga_ls8c_ard_3-2-1_102076_2024-03-04_final
2024-03-04 10:32:23	ga_ls8c_ard_3-2-1_102079_2024-03-04_final
2024-03-05 09:36:20	ga_ls8c_ard_3-2-1_093078_2024-03-05_final
2024-03-05 09:39:56	ga_ls8c_ard_3-2-1_093087_2024-03-05_final
2024-03-05 11:16:01	ga_ls8c_ard_3-2-1_109080_2024-03-05_final
2024-03-10 09:53:38	ga_ls8c_ard_3-2-1_096075_2024-03-10_final
2024-03-10 11:35:43	ga_ls8c_ard_3-2-1_112083_2024-03-10_final
2024-03-12 09:42:52	ga_ls8c_ard_3-2-1_094079_2024-03-12_final
2024-03-12 09:43:16	ga_ls8c_ard_3-2-1_094080_2024-03-12_final
2024-03-12 09:44:28	ga_ls8c_ard_3-2-1_094083_2024-03-12_final
2024-03-13 10:22:32	ga_ls8c_ard_3-2-1_101070_2024-03-13_final
2024-03-13 10:24:07	ga_ls8c_ard_3-2-1_101074_2024-03-13_final
2024-03-13 10:27:19	ga_ls8c_ard_3-2-1_101082_2024-03-13_final
2024-03-16 09:19:19	ga_ls8c_ard_3-2-1_090082_2024-03-15_final
2024-03-16 10:57:00	ga_ls8c_ard_3-2-1_106079_2024-03-16_final
2024-03-17 10:02:10	ga_ls8c_ard_3-2-1_097081_2024-03-17_final
2024-03-17 10:03:45	ga_ls8c_ard_3-2-1_097085_2024-03-17_final
2024-03-17 11:38:39	ga_ls8c_ard_3-2-1_113075_2024-03-17_final
2024-03-17 11:40:15	ga_ls8c_ard_3-2-1_113079_2024-03-17_final
2024-03-18 10:41:49	ga_ls8c_ard_3-2-1_104072_2024-03-18_final
2024-03-18 10:42:37	ga_ls8c_ard_3-2-1_104074_2024-03-18_final
2024-03-19 09:48:11	ga_ls8c_ard_3-2-1_095077_2024-03-19_final
2024-03-21 09:38:35	ga_ls8c_ard_3-2-1_093084_2024-03-21_final
2024-03-22 11:57:55	ga_ls8c_ard_3-2-1_116077_2024-03-22_final
2024-03-23 09:26:11	ga_ls8c_ard_3-2-1_091084_2024-03-22_final
2024-03-24 11:44:19	ga_ls8c_ard_3-2-1_114074_2024-03-24_final
2024-03-26 11:35:29	ga_ls8c_ard_3-2-1_112083_2024-03-26_final
2024-03-28 09:43:00	ga_ls8c_ard_3-2-1_094080_2024-03-28_final
2024-03-28 09:45:24	ga_ls8c_ard_3-2-1_094086_2024-03-28_final
2024-03-29 10:24:17	ga_ls8c_ard_3-2-1_101075_2024-03-29_final
2024-03-29 10:25:52	ga_ls8c_ard_3-2-1_101079_2024-03-29_final
2024-03-31 10:15:31	ga_ls8c_ard_3-2-1_099084_2024-03-31_final
2024-04-02 10:00:22	ga_ls8c_ard_3-2-1_097077_2024-04-02_final
2024-04-02 11:40:51	ga_ls8c_ard_3-2-1_113081_2024-04-02_final
2024-04-04 11:26:06	ga_ls8c_ard_3-2-1_111075_2024-04-04_final
2024-04-04 11:28:29	ga_ls8c_ard_3-2-1_111081_2024-04-04_final
2024-04-05 10:30:52	ga_ls8c_ard_3-2-1_102076_2024-04-05_final
2024-04-05 10:31:40	ga_ls8c_ard_3-2-1_102078_2024-04-05_final
2024-04-06 11:12:32	ga_ls8c_ard_3-2-1_109072_2024-04-06_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