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
2019-09-27 12:31:37	ga_ls8c_ard_3-2-1_122067_2019-09-27_final
2021-04-28 08:10:17	ga_ls8c_ard_3-2-1_079080_2021-04-27_final
2022-01-07 11:42:41	ga_ls8c_ard_3-2-1_113084_2022-01-07_final
2023-01-10 11:42:49	ga_ls8c_ard_3-2-1_113084_2023-01-10_final
2023-07-10 11:57:05	ga_ls8c_ard_3-2-1_116075_2023-07-10_final
2023-10-07 10:12:03	ga_ls8c_ard_3-2-1_099074_2023-10-07_final
2023-10-07 10:12:51	ga_ls8c_ard_3-2-1_099076_2023-10-07_final
2023-10-13 09:38:12	ga_ls8c_ard_3-2-1_093082_2023-10-13_final
2023-10-14 11:57:33	ga_ls8c_ard_3-2-1_116075_2023-10-14_final
2023-10-14 11:57:57	ga_ls8c_ard_3-2-1_116076_2023-10-14_final
2023-10-16 11:46:47	ga_ls8c_ard_3-2-1_114079_2023-10-16_final
2023-10-21 10:26:02	ga_ls8c_ard_3-2-1_101078_2023-10-21_final
2023-10-24 09:18:53	ga_ls8c_ard_3-2-1_090080_2023-10-23_final
2023-10-24 09:19:17	ga_ls8c_ard_3-2-1_090081_2023-10-23_final
2023-11-01 11:46:50	ga_ls8c_ard_3-2-1_114079_2023-11-01_final
2023-11-03 09:53:35	ga_ls8c_ard_3-2-1_096074_2023-11-03_final
2023-11-03 09:54:47	ga_ls8c_ard_3-2-1_096077_2023-11-03_final
2023-11-04 10:36:51	ga_ls8c_ard_3-2-1_103074_2023-11-04_final
2023-11-07 11:08:31	ga_ls8c_ard_3-2-1_108076_2023-11-07_final
2023-11-10 09:58:53	ga_ls8c_ard_3-2-1_097072_2023-11-10_final
2023-11-11 10:45:21	ga_ls8c_ard_3-2-1_104080_2023-11-11_final
2023-11-18 10:48:26	ga_ls8c_ard_3-2-1_105072_2023-11-18_final
2023-11-21 11:22:08	ga_ls8c_ard_3-2-1_110079_2023-11-21_final
2023-11-23 11:10:11	ga_ls8c_ard_3-2-1_108080_2023-11-23_final
2023-11-26 10:00:12	ga_ls8c_ard_3-2-1_097075_2023-11-26_final
2023-12-01 10:19:06	ga_ls8c_ard_3-2-1_100076_2023-12-01_final
2023-12-03 11:45:35	ga_ls8c_ard_3-2-1_114076_2023-12-03_final
2023-12-04 10:51:33	ga_ls8c_ard_3-2-1_105080_2023-12-04_final
2023-12-05 09:57:06	ga_ls8c_ard_3-2-1_096083_2023-12-05_final
2023-12-09 09:32:22	ga_ls8c_ard_3-2-1_092083_2023-12-09_final
2023-12-10 11:52:08	ga_ls8c_ard_3-2-1_115077_2023-12-10_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
2023-12-12 09:59:19	ga_ls8c_ard_3-2-1_097073_2023-12-12_final
2023-12-12 11:39:24	ga_ls8c_ard_3-2-1_113076_2023-12-12_final
2023-12-14 09:50:58	ga_ls8c_ard_3-2-1_095083_2023-12-14_final
2023-12-16 11:12:43	ga_ls8c_ard_3-2-1_109071_2023-12-16_final
2023-12-17 10:18:18	ga_ls8c_ard_3-2-1_100074_2023-12-17_final
2023-12-18 09:24:17	ga_ls8c_ard_3-2-1_091078_2023-12-17_final
2023-12-20 10:48:49	ga_ls8c_ard_3-2-1_105073_2023-12-20_final
2023-12-20 10:50:49	ga_ls8c_ard_3-2-1_105078_2023-12-20_final
2023-12-23 09:46:02	ga_ls8c_ard_3-2-1_094086_2023-12-23_final
2023-12-24 10:26:06	ga_ls8c_ard_3-2-1_101078_2023-12-24_final
2023-12-25 11:11:45	ga_ls8c_ard_3-2-1_108084_2023-12-25_final
2023-12-27 09:20:05	ga_ls8c_ard_3-2-1_090083_2023-12-26_final
2023-12-27 10:56:58	ga_ls8c_ard_3-2-1_106078_2023-12-27_final
2023-12-27 10:57:22	ga_ls8c_ard_3-2-1_106079_2023-12-27_final
2023-12-30 09:47:46	ga_ls8c_ard_3-2-1_095075_2023-12-30_final
2023-12-30 09:50:09	ga_ls8c_ard_3-2-1_095081_2023-12-30_final
2023-12-30 09:50:57	ga_ls8c_ard_3-2-1_095083_2023-12-30_final
2023-12-30 11:29:26	ga_ls8c_ard_3-2-1_111082_2023-12-30_final
2024-01-01 09:37:46	ga_ls8c_ard_3-2-1_093081_2024-01-01_final
2024-01-02 10:18:37	ga_ls8c_ard_3-2-1_100075_2024-01-02_final
2024-01-03 09:24:58	ga_ls8c_ard_3-2-1_091080_2024-01-02_final
2024-01-06 09:56:15	ga_ls8c_ard_3-2-1_096081_2024-01-06_final
2024-01-09 10:26:23	ga_ls8c_ard_3-2-1_101079_2024-01-09_final
2024-01-11 10:15:14	ga_ls8c_ard_3-2-1_099082_2024-01-11_final
2024-01-12 09:18:49	ga_ls8c_ard_3-2-1_090080_2024-01-11_final
2024-01-13 11:39:22	ga_ls8c_ard_3-2-1_113076_2024-01-13_final
2024-01-17 09:36:33	ga_ls8c_ard_3-2-1_093078_2024-01-17_final
2024-01-20 11:45:31	ga_ls8c_ard_3-2-1_114076_2024-01-20_final
2024-01-22 09:55:03	ga_ls8c_ard_3-2-1_096078_2024-01-22_final
2024-01-24 09:41:28	ga_ls8c_ard_3-2-1_094075_2024-01-24_final
2024-01-24 11:21:32	ga_ls8c_ard_3-2-1_110078_2024-01-24_final
2024-01-26 09:30:40	ga_ls8c_ard_3-2-1_092079_2024-01-26_final
2024-01-27 10:14:43	ga_ls8c_ard_3-2-1_099081_2024-01-27_final
2024-01-28 10:57:59	ga_ls8c_ard_3-2-1_106081_2024-01-28_final
2024-01-28 10:58:23	ga_ls8c_ard_3-2-1_106082_2024-01-28_final
2024-01-31 09:47:15	ga_ls8c_ard_3-2-1_095074_2024-01-31_final
2024-01-31 11:29:20	ga_ls8c_ard_3-2-1_111082_2024-01-31_final
2024-02-02 09:38:30	ga_ls8c_ard_3-2-1_093083_2024-02-02_final
2024-02-08 10:39:56	ga_ls8c_ard_3-2-1_103082_2024-02-08_final
2024-02-09 09:45:07	ga_ls8c_ard_3-2-1_094084_2024-02-09_final
2024-02-10 10:25:59	ga_ls8c_ard_3-2-1_101078_2024-02-10_final
2024-02-11 09:31:09	ga_ls8c_ard_3-2-1_092080_2024-02-11_final
2024-02-11 09:34:45	ga_ls8c_ard_3-2-1_092089_2024-02-11_final
2024-02-14 10:02:02	ga_ls8c_ard_3-2-1_097080_2024-02-14_final
2024-02-18 09:36:06	ga_ls8c_ard_3-2-1_093077_2024-02-18_final
2024-02-18 11:16:11	ga_ls8c_ard_3-2-1_109080_2024-02-18_final
2024-02-20 09:25:20	ga_ls8c_ard_3-2-1_091081_2024-02-19_final
2024-02-20 11:02:37	ga_ls8c_ard_3-2-1_107077_2024-02-20_final
2024-02-23 09:55:50	ga_ls8c_ard_3-2-1_096080_2024-02-23_final
2024-02-24 10:37:29	ga_ls8c_ard_3-2-1_103076_2024-02-24_final
2024-02-29 09:18:41	ga_ls8c_ard_3-2-1_090080_2024-02-28_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
2024-03-01 11:42:24	ga_ls8c_ard_3-2-1_113084_2024-03-01_final
2024-03-03 09:47:08	ga_ls8c_ard_3-2-1_095074_2024-03-03_final
2024-03-03 11:27:13	ga_ls8c_ard_3-2-1_111077_2024-03-03_final
2024-03-03 11:27:37	ga_ls8c_ard_3-2-1_111078_2024-03-03_final
2024-03-05 09:38:20	ga_ls8c_ard_3-2-1_093083_2024-03-05_final
2024-03-05 09:39:32	ga_ls8c_ard_3-2-1_093086_2024-03-05_final
2024-03-07 09:27:08	ga_ls8c_ard_3-2-1_091086_2024-03-06_final
2024-03-13 10:24:55	ga_ls8c_ard_3-2-1_101076_2024-03-13_final
2024-03-14 11:08:11	ga_ls8c_ard_3-2-1_108076_2024-03-14_final
2024-03-23 11:03:04	ga_ls8c_ard_3-2-1_107079_2024-03-23_final
2024-03-28 11:20:41	ga_ls8c_ard_3-2-1_110077_2024-03-28_final
2024-03-28 11:23:05	ga_ls8c_ard_3-2-1_110083_2024-03-28_final
2024-03-31 10:11:08	ga_ls8c_ard_3-2-1_099073_2024-03-31_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