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
2020-08-27 10:08:51	ga_ls8c_ard_3-2-1_099066_2020-08-27_final
2022-01-25 08:10:52	ga_ls8c_ard_3-2-1_079080_2022-01-24_final
2022-04-21 09:15:32	ga_ls8c_ard_3-2-1_089088_2022-04-20_final
2023-09-22 12:31:20	ga_ls8c_ard_3-2-1_122067_2023-09-22_final
2023-11-28 09:49:50	ga_ls8c_ard_3-2-1_095080_2023-11-28_final
2023-11-28 11:29:07	ga_ls8c_ard_3-2-1_111081_2023-11-28_final
2023-12-01 10:21:30	ga_ls8c_ard_3-2-1_100082_2023-12-01_final
2023-12-11 09:19:14	ga_ls8c_ard_3-2-1_090081_2023-12-10_final
2023-12-11 10:56:31	ga_ls8c_ard_3-2-1_106077_2023-12-11_final
2023-12-13 10:41:48	ga_ls8c_ard_3-2-1_104071_2023-12-13_final
2023-12-13 10:42:11	ga_ls8c_ard_3-2-1_104072_2023-12-13_final
2023-12-13 10:43:23	ga_ls8c_ard_3-2-1_104075_2023-12-13_final
2023-12-16 09:38:38	ga_ls8c_ard_3-2-1_093083_2023-12-16_final
2023-12-16 09:39:02	ga_ls8c_ard_3-2-1_093084_2023-12-16_final
2023-12-17 10:18:18	ga_ls8c_ard_3-2-1_100074_2023-12-17_final
2023-12-20 10:51:37	ga_ls8c_ard_3-2-1_105080_2023-12-20_final
2023-12-23 09:43:38	ga_ls8c_ard_3-2-1_094080_2023-12-23_final
2023-12-23 11:22:31	ga_ls8c_ard_3-2-1_110080_2023-12-23_final
2023-12-25 09:30:04	ga_ls8c_ard_3-2-1_092077_2023-12-25_final
2023-12-26 10:12:31	ga_ls8c_ard_3-2-1_099075_2023-12-26_final
2023-12-28 11:39:50	ga_ls8c_ard_3-2-1_113077_2023-12-28_final
2023-12-29 10:42:12	ga_ls8c_ard_3-2-1_104072_2023-12-29_final
2024-01-02 10:18:13	ga_ls8c_ard_3-2-1_100074_2024-01-02_final
2024-01-02 10:21:25	ga_ls8c_ard_3-2-1_100082_2024-01-02_final
2024-01-02 11:58:18	ga_ls8c_ard_3-2-1_116077_2024-01-02_final
2024-01-03 09:24:34	ga_ls8c_ard_3-2-1_091079_2024-01-02_final
2024-01-04 10:09:01	ga_ls8c_ard_3-2-1_098082_2024-01-04_final
2024-01-06 09:55:51	ga_ls8c_ard_3-2-1_096080_2024-01-06_final
2024-01-06 09:57:03	ga_ls8c_ard_3-2-1_096083_2024-01-06_final
2024-01-06 11:35:08	ga_ls8c_ard_3-2-1_112081_2024-01-06_final
2024-01-07 10:39:31	ga_ls8c_ard_3-2-1_103081_2024-01-07_final
2024-01-08 09:41:55	ga_ls8c_ard_3-2-1_094076_2024-01-08_final
2024-01-08 11:22:24	ga_ls8c_ard_3-2-1_110080_2024-01-08_final
2024-01-09 10:27:11	ga_ls8c_ard_3-2-1_101081_2024-01-09_final
2024-01-10 09:31:10	ga_ls8c_ard_3-2-1_092080_2024-01-10_final
2024-01-10 11:11:15	ga_ls8c_ard_3-2-1_108083_2024-01-10_final
2024-01-15 11:29:48	ga_ls8c_ard_3-2-1_111083_2024-01-15_final
2024-01-19 11:04:40	ga_ls8c_ard_3-2-1_107082_2024-01-19_final
2024-01-24 09:41:28	ga_ls8c_ard_3-2-1_094075_2024-01-24_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
2024-01-26 09:32:15	ga_ls8c_ard_3-2-1_092083_2024-01-26_final
2024-01-29 10:00:47	ga_ls8c_ard_3-2-1_097077_2024-01-29_final
2024-01-30 10:44:52	ga_ls8c_ard_3-2-1_104079_2024-01-30_final
2024-01-31 09:48:03	ga_ls8c_ard_3-2-1_095076_2024-01-31_final
2024-01-31 11:28:56	ga_ls8c_ard_3-2-1_111081_2024-01-31_final
2024-01-31 11:29:20	ga_ls8c_ard_3-2-1_111082_2024-01-31_final
2024-01-31 11:29:44	ga_ls8c_ard_3-2-1_111083_2024-01-31_final
2024-02-02 09:38:54	ga_ls8c_ard_3-2-1_093084_2024-02-02_final
2024-02-07 11:32:46	ga_ls8c_ard_3-2-1_112075_2024-02-07_final
2024-02-08 10:36:21	ga_ls8c_ard_3-2-1_103073_2024-02-08_final
2024-02-09 09:43:31	ga_ls8c_ard_3-2-1_094080_2024-02-09_final
2024-02-10 10:27:11	ga_ls8c_ard_3-2-1_101081_2024-02-10_final
2024-02-11 11:06:51	ga_ls8c_ard_3-2-1_108072_2024-02-11_final
2024-02-11 11:07:15	ga_ls8c_ard_3-2-1_108073_2024-02-11_final
2024-02-11 11:09:38	ga_ls8c_ard_3-2-1_108079_2024-02-11_final
2024-02-13 10:56:52	ga_ls8c_ard_3-2-1_106078_2024-02-13_final
2024-02-14 10:00:02	ga_ls8c_ard_3-2-1_097075_2024-02-14_final
2024-02-14 11:38:55	ga_ls8c_ard_3-2-1_113075_2024-02-14_final
2024-02-15 10:43:17	ga_ls8c_ard_3-2-1_104075_2024-02-15_final
2024-02-15 10:44:29	ga_ls8c_ard_3-2-1_104078_2024-02-15_final
2024-02-16 09:51:15	ga_ls8c_ard_3-2-1_095084_2024-02-16_final
2024-02-17 10:32:07	ga_ls8c_ard_3-2-1_102078_2024-02-17_final
2024-02-18 09:36:54	ga_ls8c_ard_3-2-1_093079_2024-02-18_final
2024-02-24 10:37:29	ga_ls8c_ard_3-2-1_103076_2024-02-24_final
2024-02-25 09:43:51	ga_ls8c_ard_3-2-1_094081_2024-02-25_final
2024-02-25 09:46:15	ga_ls8c_ard_3-2-1_094087_2024-02-25_final
2024-02-26 10:25:06	ga_ls8c_ard_3-2-1_101076_2024-02-26_final
2024-02-27 11:06:22	ga_ls8c_ard_3-2-1_108071_2024-02-27_final
2024-02-28 10:15:07	ga_ls8c_ard_3-2-1_099082_2024-02-28_final
2024-02-28 10:15:31	ga_ls8c_ard_3-2-1_099083_2024-02-28_final
2024-02-28 11:50:48	ga_ls8c_ard_3-2-1_115074_2024-02-28_final
2024-02-29 09:19:05	ga_ls8c_ard_3-2-1_090081_2024-02-28_final
2024-02-29 10:57:10	ga_ls8c_ard_3-2-1_106079_2024-02-29_final
2024-02-29 10:58:46	ga_ls8c_ard_3-2-1_106083_2024-02-29_final
2024-03-01 10:00:20	ga_ls8c_ard_3-2-1_097076_2024-03-01_final
2024-03-01 10:03:08	ga_ls8c_ard_3-2-1_097083_2024-03-01_final
2024-03-04 10:31:59	ga_ls8c_ard_3-2-1_102078_2024-03-04_final
2024-03-05 09:35:56	ga_ls8c_ard_3-2-1_093077_2024-03-05_final
2024-03-07 09:23:56	ga_ls8c_ard_3-2-1_091078_2024-03-06_final
2024-03-10 09:57:38	ga_ls8c_ard_3-2-1_096085_2024-03-10_final
2024-03-12 09:44:04	ga_ls8c_ard_3-2-1_094082_2024-03-12_final
2024-03-13 10:26:55	ga_ls8c_ard_3-2-1_101081_2024-03-13_final
2024-03-14 09:32:53	ga_ls8c_ard_3-2-1_092085_2024-03-14_final
2024-03-14 11:08:11	ga_ls8c_ard_3-2-1_108076_2024-03-14_final
2024-03-15 10:12:09	ga_ls8c_ard_3-2-1_099075_2024-03-15_final
2024-03-16 09:18:55	ga_ls8c_ard_3-2-1_090081_2024-03-15_final
2024-03-16 10:57:24	ga_ls8c_ard_3-2-1_106080_2024-03-16_final
2024-03-18 10:45:01	ga_ls8c_ard_3-2-1_104080_2024-03-18_final
2024-03-19 09:47:47	ga_ls8c_ard_3-2-1_095076_2024-03-19_final
2024-03-21 09:36:59	ga_ls8c_ard_3-2-1_093080_2024-03-21_final
2024-03-21 09:38:35	ga_ls8c_ard_3-2-1_093084_2024-03-21_final
2024-03-22 10:21:02	ga_ls8c_ard_3-2-1_100082_2024-03-22_final
2024-03-23 11:03:04	ga_ls8c_ard_3-2-1_107079_2024-03-23_final
2024-03-24 11:46:19	ga_ls8c_ard_3-2-1_114079_2024-03-24_final
2024-03-28 11:22:17	ga_ls8c_ard_3-2-1_110081_2024-03-28_final
2024-03-30 09:31:27	ga_ls8c_ard_3-2-1_092082_2024-03-30_final
2024-03-30 09:32:39	ga_ls8c_ard_3-2-1_092085_2024-03-30_final
2024-04-02 11:39:39	ga_ls8c_ard_3-2-1_113078_2024-04-02_final
2024-04-04 11:28:53	ga_ls8c_ard_3-2-1_111082_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years