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
2020-01-17 12:31:27	ga_ls8c_ard_3-2-1_122067_2020-01-17_final
2020-09-12 10:08:57	ga_ls8c_ard_3-2-1_099066_2020-09-12_final
2021-10-05 11:24:04	ga_ls8c_ard_3-2-0_111068_2021-10-05_final
2022-01-06 09:21:20	ga_ls8c_ard_3-2-1_090086_2022-01-05_final
2022-01-13 11:00:00	ga_ls8c_ard_3-2-1_107070_2022-01-13_final
2022-01-15 10:48:02	ga_ls8c_ard_3-2-1_105071_2022-01-15_final
2022-01-22 10:53:46	ga_ls8c_ard_3-2-1_106070_2022-01-22_final
2022-02-09 09:07:39	ga_ls8c_ard_3-2-1_088083_2022-02-08_final
2022-02-22 10:10:45	ga_ls8c_ard_3-2-1_099071_2022-02-22_final
2022-02-27 10:33:17	ga_ls8c_ard_3-2-1_102081_2022-02-27_final
2022-03-04 09:12:55	ga_ls8c_ard_3-2-1_089081_2022-03-03_final
2022-03-10 10:09:06	ga_ls8c_ard_3-2-1_099067_2022-03-10_final
2022-03-10 10:09:30	ga_ls8c_ard_3-2-1_099068_2022-03-10_final
2022-03-27 10:52:58	ga_ls8c_ard_3-2-1_106069_2022-03-27_final
2022-04-11 11:51:01	ga_ls8c_ard_3-2-1_115075_2022-04-11_final
2022-04-20 10:03:58	ga_ls8c_ard_3-2-1_098070_2022-04-20_final
2022-04-20 10:07:10	ga_ls8c_ard_3-2-1_098078_2022-04-20_final
2022-04-22 09:52:48	ga_ls8c_ard_3-2-1_096073_2022-04-22_final
2022-04-24 09:40:25	ga_ls8c_ard_3-2-1_094073_2022-04-24_final
2022-04-27 10:08:30	ga_ls8c_ard_3-2-1_099066_2022-04-27_final
2022-04-28 10:55:20	ga_ls8c_ard_3-2-1_106075_2022-04-28_final
2022-04-29 11:42:11	ga_ls8c_ard_3-2-1_113084_2022-04-29_final
2022-05-01 09:51:46	ga_ls8c_ard_3-2-1_095086_2022-05-01_final
2022-05-13 10:08:39	ga_ls8c_ard_3-2-1_099066_2022-05-13_final
2022-05-14 09:17:01	ga_ls8c_ard_3-2-1_090076_2022-05-13_final
2022-05-19 09:34:23	ga_ls8c_ard_3-2-1_093073_2022-05-19_final
2022-05-21 09:22:49	ga_ls8c_ard_3-2-1_091075_2022-05-20_final
2022-05-29 10:09:28	ga_ls8c_ard_3-2-1_099068_2022-05-29_final
2022-06-06 09:27:44	ga_ls8c_ard_3-2-1_091087_2022-06-05_final
2022-06-06 09:28:32	ga_ls8c_ard_3-2-1_091089_2022-06-05_final
2022-06-10 10:39:33	ga_ls8c_ard_3-2-1_103081_2022-06-10_final
2022-06-20 09:34:39	ga_ls8c_ard_3-2-1_093073_2022-06-20_final
2022-06-22 09:27:29	ga_ls8c_ard_3-2-1_091086_2022-06-21_final
2022-06-24 09:11:33	ga_ls8c_ard_3-2-1_089077_2022-06-23_final
2022-06-27 09:46:03	ga_ls8c_ard_3-2-1_094086_2022-06-27_final
2022-06-30 10:14:10	ga_ls8c_ard_3-2-1_099079_2022-06-30_final
2022-07-09 10:03:59	ga_ls8c_ard_3-2-1_098069_2022-07-09_final
2022-07-09 10:07:35	ga_ls8c_ard_3-2-1_098078_2022-07-09_final
2022-07-17 09:22:55	ga_ls8c_ard_3-2-1_090090_2022-07-16_final
2022-07-23 11:57:43	ga_ls8c_ard_3-2-1_116075_2022-07-23_final
2022-07-23 11:58:07	ga_ls8c_ard_3-2-1_116076_2022-07-23_final
2022-07-25 10:07:41	ga_ls8c_ard_3-2-1_098078_2022-07-25_final
2022-07-31 09:29:04	ga_ls8c_ard_3-2-1_092074_2022-07-30_final
2022-08-06 10:33:43	ga_ls8c_ard_3-2-1_102081_2022-08-06_final
2022-08-09 09:29:21	ga_ls8c_ard_3-2-1_091090_2022-08-08_final
2022-08-14 09:46:20	ga_ls8c_ard_3-2-1_094086_2022-08-14_final
2022-09-01 09:29:11	ga_ls8c_ard_3-2-1_092074_2022-08-31_final
2022-09-11 10:04:21	ga_ls8c_ard_3-2-1_098069_2022-09-11_final
2022-09-12 09:11:56	ga_ls8c_ard_3-2-1_089077_2022-09-11_final
2022-09-24 09:35:06	ga_ls8c_ard_3-2-1_093073_2022-09-24_final
2022-10-01 11:22:56	ga_ls8c_ard_3-2-1_110080_2022-10-01_final
2022-11-05 11:51:51	ga_ls8c_ard_3-2-1_115075_2022-11-05_final
2022-11-18 09:40:20	ga_ls8c_ard_3-2-1_094071_2022-11-18_final
2022-11-21 11:52:56	ga_ls8c_ard_3-2-1_115078_2022-11-21_final
2022-12-10 10:46:33	ga_ls8c_ard_3-2-1_104082_2022-12-10_final
2022-12-15 09:28:09	ga_ls8c_ard_3-2-1_091087_2022-12-14_final
2022-12-19 10:39:52	ga_ls8c_ard_3-2-1_103081_2022-12-19_final
2023-01-25 10:53:33	ga_ls8c_ard_3-2-1_106069_2023-01-25_final
2023-02-01 09:28:03	ga_ls8c_ard_3-2-1_091087_2023-01-31_final
2023-02-09 10:11:04	ga_ls8c_ard_3-2-1_099071_2023-02-09_final
2023-03-07 10:52:12	ga_ls8c_ard_3-2-1_105082_2023-03-07_final
2023-03-13 10:11:06	ga_ls8c_ard_3-2-1_099072_2023-03-13_final
2023-04-07 10:03:48	ga_ls8c_ard_3-2-1_098070_2023-04-07_final
2023-04-13 09:33:24	ga_ls8c_ard_3-2-1_092087_2023-04-13_final
2023-04-14 11:50:46	ga_ls8c_ard_3-2-1_115075_2023-04-14_final
2023-04-14 11:51:57	ga_ls8c_ard_3-2-1_115078_2023-04-14_final
2023-05-14 10:24:46	ga_ls8c_ard_3-2-1_101077_2023-05-14_final
2023-05-16 10:09:12	ga_ls8c_ard_3-2-1_099069_2023-05-16_final
2023-05-23 10:21:23	ga_ls8c_ard_3-2-1_100084_2023-05-23_final
2023-05-29 09:39:32	ga_ls8c_ard_3-2-1_094072_2023-05-29_final
2023-06-03 09:56:06	ga_ls8c_ard_3-2-1_097067_2023-06-03_final
2023-06-06 10:32:38	ga_ls8c_ard_3-2-1_102081_2023-06-06_final
2023-06-09 09:27:53	ga_ls8c_ard_3-2-1_091089_2023-06-08_final
2023-06-15 10:24:56	ga_ls8c_ard_3-2-1_101077_2023-06-15_final
2023-06-17 11:51:52	ga_ls8c_ard_3-2-1_115078_2023-06-17_final
2023-07-02 09:32:40	ga_ls8c_ard_3-2-1_092085_2023-07-02_final
2023-07-07 11:24:34	ga_ls8c_ard_3-2-1_111071_2023-07-07_final
2023-07-19 10:10:02	ga_ls8c_ard_3-2-1_099070_2023-07-19_final
2023-07-21 09:56:52	ga_ls8c_ard_3-2-1_097068_2023-07-21_final
2023-07-27 09:27:28	ga_ls8c_ard_3-2-1_091087_2023-07-26_final
2023-07-28 10:03:33	ga_ls8c_ard_3-2-1_098069_2023-07-28_final
2023-07-29 09:15:55	ga_ls8c_ard_3-2-1_089089_2023-07-28_final
2023-08-05 09:16:33	ga_ls8c_ard_3-2-1_090075_2023-08-04_final
2023-08-10 09:34:18	ga_ls8c_ard_3-2-1_093073_2023-08-10_final
2023-08-14 09:12:01	ga_ls8c_ard_3-2-1_089079_2023-08-13_final
2023-08-14 10:46:31	ga_ls8c_ard_3-2-1_105068_2023-08-14_final
2023-08-28 09:27:40	ga_ls8c_ard_3-2-1_091087_2023-08-27_final
2023-09-06 09:17:04	ga_ls8c_ard_3-2-1_090076_2023-09-05_final
2023-09-08 09:06:43	ga_ls8c_ard_3-2-1_088081_2023-09-07_final
2023-09-28 10:19:49	ga_ls8c_ard_3-2-1_100078_2023-09-28_final
2023-09-30 10:03:52	ga_ls8c_ard_3-2-1_098069_2023-09-30_final
2023-10-11 11:26:15	ga_ls8c_ard_3-2-1_111074_2023-10-11_final
2023-10-29 11:17:56	ga_ls8c_ard_3-2-1_109084_2023-10-29_final
2023-10-31 09:29:05	ga_ls8c_ard_3-2-1_091090_2023-10-30_final
2023-11-05 11:18:30	ga_ls8c_ard_3-2-1_110070_2023-11-05_final
2023-11-18 09:10:20	ga_ls8c_ard_3-2-1_089074_2023-11-17_final
2023-11-24 11:51:27	ga_ls8c_ard_3-2-1_115075_2023-11-24_final
2024-03-03 09:46:21	ga_ls8c_ard_3-2-1_095072_2024-03-03_final
2024-03-09 09:11:35	ga_ls8c_ard_3-2-1_089078_2024-03-08_final
2024-03-15 11:52:14	ga_ls8c_ard_3-2-1_115078_2024-03-15_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