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
2021-05-03 10:03:16	ga_ls8c_ard_3-2-0_098069_2021-05-03_final
2021-05-09 09:32:34	ga_ls8c_ard_3-2-0_092085_2021-05-09_final
2021-05-26 11:50:30	ga_ls8c_ard_3-2-0_115074_2021-05-26_final
2021-05-27 09:21:11	ga_ls8c_ard_3-2-0_090087_2021-05-26_final
2021-05-27 10:58:05	ga_ls8c_ard_3-2-0_106082_2021-05-27_final
2021-07-08 09:56:53	ga_ls8c_ard_3-2-0_096083_2021-07-08_final
2021-07-18 10:30:00	ga_ls8c_ard_3-2-0_102073_2021-07-18_final
2021-08-06 11:04:15	ga_ls8c_ard_3-2-0_107081_2021-08-06_final
2021-08-10 10:34:22	ga_ls8c_ard_3-2-0_103068_2021-08-10_final
2021-09-23 09:23:59	ga_ls8c_ard_3-2-0_091077_2021-09-22_final
2021-11-08 09:36:50	ga_ls8c_ard_3-2-0_093078_2021-11-08_final
2021-11-27 10:07:42	ga_ls8c_ard_3-2-0_098078_2021-11-27_final
2021-12-08 09:47:34	ga_ls8c_ard_3-2-1_095074_2021-12-08_final
2021-12-10 11:12:53	ga_ls8c_ard_3-2-1_109071_2021-12-10_final
2021-12-13 11:45:23	ga_ls8c_ard_3-2-1_114075_2021-12-13_final
2021-12-14 09:12:52	ga_ls8c_ard_3-2-1_089080_2021-12-13_final
2021-12-17 11:18:39	ga_ls8c_ard_3-2-1_110070_2021-12-17_final
2021-12-21 09:19:25	ga_ls8c_ard_3-2-1_090081_2021-12-20_final
2022-01-09 09:51:02	ga_ls8c_ard_3-2-1_095083_2022-01-09_final
2022-01-10 10:29:54	ga_ls8c_ard_3-2-1_102072_2022-01-10_final
2022-01-15 10:52:25	ga_ls8c_ard_3-2-1_105082_2022-01-15_final
2022-01-16 09:57:59	ga_ls8c_ard_3-2-1_096085_2022-01-16_final
2022-01-23 11:42:37	ga_ls8c_ard_3-2-1_113084_2022-01-23_final
2022-02-12 11:15:49	ga_ls8c_ard_3-2-1_109079_2022-02-12_final
2022-02-12 11:16:13	ga_ls8c_ard_3-2-1_109080_2022-02-12_final
2022-02-16 09:13:47	ga_ls8c_ard_3-2-1_089083_2022-02-15_final
2022-02-24 11:42:28	ga_ls8c_ard_3-2-1_113084_2022-02-24_final
2022-02-26 09:50:01	ga_ls8c_ard_3-2-1_095081_2022-02-26_final
2022-03-28 11:37:25	ga_ls8c_ard_3-2-1_113072_2022-03-28_final
2022-05-03 09:35:03	ga_ls8c_ard_3-2-1_093075_2022-05-03_final
2022-05-26 11:18:38	ga_ls8c_ard_3-2-1_110071_2022-05-26_final
2022-06-01 10:40:25	ga_ls8c_ard_3-2-1_104068_2022-06-01_final
2022-06-04 09:34:53	ga_ls8c_ard_3-2-1_093074_2022-06-04_final
2022-06-11 09:43:57	ga_ls8c_ard_3-2-1_094081_2022-06-11_final
2022-06-15 10:54:09	ga_ls8c_ard_3-2-1_106071_2022-06-15_final
2022-06-16 11:41:01	ga_ls8c_ard_3-2-1_113080_2022-06-16_final
2022-06-22 09:26:17	ga_ls8c_ard_3-2-1_091083_2022-06-21_final
2022-07-03 10:43:28	ga_ls8c_ard_3-2-1_104075_2022-07-03_final
2022-07-12 10:38:28	ga_ls8c_ard_3-2-1_103078_2022-07-12_final
2022-07-17 10:56:13	ga_ls8c_ard_3-2-1_106076_2022-07-17_final
2022-07-19 10:40:42	ga_ls8c_ard_3-2-1_104068_2022-07-19_final
2022-07-22 11:16:50	ga_ls8c_ard_3-2-1_109081_2022-07-22_final
2022-07-22 11:17:38	ga_ls8c_ard_3-2-1_109083_2022-07-22_final
2022-07-23 10:21:37	ga_ls8c_ard_3-2-1_100082_2022-07-23_final
2022-07-24 11:00:30	ga_ls8c_ard_3-2-1_107071_2022-07-24_final
2022-07-24 12:37:48	ga_ls8c_ard_3-2-1_123067_2022-07-24_final
2022-08-05 11:29:20	ga_ls8c_ard_3-2-1_111081_2022-08-05_final
2022-08-25 11:00:18	ga_ls8c_ard_3-2-1_107070_2022-08-25_final
2022-09-02 10:15:38	ga_ls8c_ard_3-2-1_099082_2022-09-02_final
2022-09-03 10:55:19	ga_ls8c_ard_3-2-1_106073_2022-09-03_final
2022-09-24 09:35:29	ga_ls8c_ard_3-2-1_093074_2022-09-24_final
2022-09-24 09:35:53	ga_ls8c_ard_3-2-1_093075_2022-09-24_final
2022-10-22 10:01:45	ga_ls8c_ard_3-2-1_097078_2022-10-22_final
2022-10-29 11:45:16	ga_ls8c_ard_3-2-1_114074_2022-10-29_final
2022-11-15 10:47:57	ga_ls8c_ard_3-2-1_105070_2022-11-15_final
2022-12-01 10:52:22	ga_ls8c_ard_3-2-1_105081_2022-12-01_final
2022-12-07 11:52:33	ga_ls8c_ard_3-2-1_115077_2022-12-07_final
2022-12-09 11:41:23	ga_ls8c_ard_3-2-1_113080_2022-12-09_final
2022-12-27 09:50:48	ga_ls8c_ard_3-2-1_095082_2022-12-27_final
2023-01-10 09:59:57	ga_ls8c_ard_3-2-1_097074_2023-01-10_final
2023-01-12 09:51:33	ga_ls8c_ard_3-2-1_095084_2023-01-12_final
2023-01-25 09:20:39	ga_ls8c_ard_3-2-1_090084_2023-01-24_final
2023-01-26 09:59:56	ga_ls8c_ard_3-2-1_097074_2023-01-26_final
2023-02-03 10:47:47	ga_ls8c_ard_3-2-1_105070_2023-02-03_final
2023-02-11 10:01:53	ga_ls8c_ard_3-2-1_097079_2023-02-11_final
2023-03-01 09:47:15	ga_ls8c_ard_3-2-1_095074_2023-03-01_final
2023-03-10 11:23:52	ga_ls8c_ard_3-2-1_110084_2023-03-10_final
2023-04-03 10:27:49	ga_ls8c_ard_3-2-1_102068_2023-04-03_final
2023-04-06 09:24:09	ga_ls8c_ard_3-2-1_091079_2023-04-05_final
2023-04-11 09:44:58	ga_ls8c_ard_3-2-1_094085_2023-04-11_final
2023-04-11 11:19:52	ga_ls8c_ard_3-2-1_110075_2023-04-11_final
2023-04-19 10:29:59	ga_ls8c_ard_3-2-1_102074_2023-04-19_final
2023-05-15 09:27:08	ga_ls8c_ard_3-2-1_092072_2023-05-14_final
2023-06-14 09:43:40	ga_ls8c_ard_3-2-1_094082_2023-06-14_final
2023-07-04 10:58:01	ga_ls8c_ard_3-2-1_106082_2023-07-04_final
2023-07-13 09:12:13	ga_ls8c_ard_3-2-1_089080_2023-07-12_final
2023-07-21 11:41:44	ga_ls8c_ard_3-2-1_113083_2023-07-21_final
2023-08-06 09:57:26	ga_ls8c_ard_3-2-1_097069_2023-08-06_final
2023-08-11 10:17:57	ga_ls8c_ard_3-2-1_100074_2023-08-11_final
2023-08-19 11:05:55	ga_ls8c_ard_3-2-1_108070_2023-08-19_final
2023-08-26 09:38:50	ga_ls8c_ard_3-2-1_093084_2023-08-26_final
2023-09-02 09:44:12	ga_ls8c_ard_3-2-1_094082_2023-09-02_final
2023-09-05 11:51:58	ga_ls8c_ard_3-2-1_115077_2023-09-05_final
2023-09-29 11:02:17	ga_ls8c_ard_3-2-1_107076_2023-09-29_final
2023-10-06 11:11:15	ga_ls8c_ard_3-2-1_108083_2023-10-06_final
2023-10-09 11:42:35	ga_ls8c_ard_3-2-1_113084_2023-10-09_final
2023-10-11 09:46:10	ga_ls8c_ard_3-2-1_095071_2023-10-11_final
2023-10-15 11:02:20	ga_ls8c_ard_3-2-1_107076_2023-10-15_final
2023-11-14 11:11:55	ga_ls8c_ard_3-2-1_109069_2023-11-14_final
2023-11-17 10:07:57	ga_ls8c_ard_3-2-1_098079_2023-11-17_final
2023-11-21 09:45:15	ga_ls8c_ard_3-2-1_094084_2023-11-21_final
2023-12-09 11:11:39	ga_ls8c_ard_3-2-1_108084_2023-12-09_final
2023-12-15 10:28:39	ga_ls8c_ard_3-2-1_102069_2023-12-15_final
2023-12-16 11:17:31	ga_ls8c_ard_3-2-1_109083_2023-12-16_final
2023-12-18 10:59:59	ga_ls8c_ard_3-2-1_107070_2023-12-18_final
2023-12-26 10:14:31	ga_ls8c_ard_3-2-1_099080_2023-12-26_final
2024-01-06 09:55:51	ga_ls8c_ard_3-2-1_096080_2024-01-06_final
2024-01-31 11:26:08	ga_ls8c_ard_3-2-1_111074_2024-01-31_final
2024-02-04 09:28:09	ga_ls8c_ard_3-2-1_091088_2024-02-03_final
2024-03-03 09:51:56	ga_ls8c_ard_3-2-1_095086_2024-03-03_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