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
2021-03-23 11:53:01	ga_ls8c_ard_3-2-0_115080_2021-03-23_final
2021-04-08 11:50:57	ga_ls8c_ard_3-2-0_115075_2021-04-08_final
2021-04-09 09:21:13	ga_ls8c_ard_3-2-0_090087_2021-04-08_final
2021-04-12 11:25:24	ga_ls8c_ard_3-2-0_111073_2021-04-12_final
2021-04-13 10:32:58	ga_ls8c_ard_3-2-0_102081_2021-04-13_final
2021-04-14 11:17:25	ga_ls8c_ard_3-2-0_109084_2021-04-14_final
2021-04-25 09:20:18	ga_ls8c_ard_3-2-0_090085_2021-04-24_final
2021-04-26 11:37:15	ga_ls8c_ard_3-2-0_113072_2021-04-26_final
2021-04-27 09:06:19	ga_ls8c_ard_3-2-0_088081_2021-04-26_final
2021-05-13 09:05:54	ga_ls8c_ard_3-2-0_088080_2021-05-12_final
2021-05-14 11:22:52	ga_ls8c_ard_3-2-0_111067_2021-05-14_final
2021-05-19 10:07:22	ga_ls8c_ard_3-2-0_098079_2021-05-19_final
2021-05-27 09:21:59	ga_ls8c_ard_3-2-0_090089_2021-05-26_final
2021-06-07 10:34:02	ga_ls8c_ard_3-2-0_103068_2021-06-07_final
2021-06-12 09:20:07	ga_ls8c_ard_3-2-0_090084_2021-06-11_final
2021-06-28 09:21:47	ga_ls8c_ard_3-2-0_090088_2021-06-27_final
2021-07-11 10:25:23	ga_ls8c_ard_3-2-0_101077_2021-07-11_final
2021-07-21 11:03:43	ga_ls8c_ard_3-2-0_107080_2021-07-21_final
2021-07-27 10:25:30	ga_ls8c_ard_3-2-0_101077_2021-07-27_final
2021-08-04 11:17:48	ga_ls8c_ard_3-2-0_109084_2021-08-04_final
2021-08-14 10:10:52	ga_ls8c_ard_3-2-0_099071_2021-08-14_final
2021-08-29 09:29:16	ga_ls8c_ard_3-2-0_092075_2021-08-28_final
2021-09-01 11:42:40	ga_ls8c_ard_3-2-0_113084_2021-09-01_final
2021-09-12 09:40:30	ga_ls8c_ard_3-2-0_094072_2021-09-12_final
2021-09-19 11:23:35	ga_ls8c_ard_3-2-0_111067_2021-09-19_final
2021-09-21 09:39:56	ga_ls8c_ard_3-2-0_093086_2021-09-21_final
2021-09-23 09:28:22	ga_ls8c_ard_3-2-0_091088_2021-09-22_final
2021-09-28 11:23:50	ga_ls8c_ard_3-2-0_110083_2021-09-28_final
2021-10-22 10:29:18	ga_ls8c_ard_3-2-0_102070_2021-10-22_final
2021-11-01 09:28:17	ga_ls8c_ard_3-2-0_092072_2021-10-31_final
2021-11-09 11:57:47	ga_ls8c_ard_3-2-0_116075_2021-11-09_final
2021-11-11 10:03:44	ga_ls8c_ard_3-2-0_098068_2021-11-11_final
2021-11-22 11:23:38	ga_ls8c_ard_3-2-0_111067_2021-11-22_final
2021-11-26 11:00:07	ga_ls8c_ard_3-2-0_107070_2021-11-26_final
2021-12-03 09:33:25	ga_ls8c_ard_3-2-0_092085_2021-12-03_final
2021-12-05 10:55:09	ga_ls8c_ard_3-2-1_106073_2021-12-05_final
2021-12-08 11:26:27	ga_ls8c_ard_3-2-1_111074_2021-12-08_final
2021-12-14 10:49:45	ga_ls8c_ard_3-2-1_105075_2021-12-14_final
2021-12-17 11:24:14	ga_ls8c_ard_3-2-1_110084_2021-12-17_final
2021-12-19 11:07:52	ga_ls8c_ard_3-2-1_108074_2021-12-19_final
2021-12-21 10:54:18	ga_ls8c_ard_3-2-1_106071_2021-12-21_final
2021-12-27 11:58:28	ga_ls8c_ard_3-2-1_116077_2021-12-27_final
2022-01-09 09:47:26	ga_ls8c_ard_3-2-1_095074_2022-01-09_final
2022-01-18 11:24:30	ga_ls8c_ard_3-2-1_110085_2022-01-18_final
2022-02-03 11:24:26	ga_ls8c_ard_3-2-1_110085_2022-02-03_final
2022-02-12 09:35:20	ga_ls8c_ard_3-2-1_093075_2022-02-12_final
2022-03-10 11:52:47	ga_ls8c_ard_3-2-1_115079_2022-03-10_final
2022-03-11 09:22:16	ga_ls8c_ard_3-2-1_090089_2022-03-10_final
2022-03-15 10:30:00	ga_ls8c_ard_3-2-1_102073_2022-03-15_final
2022-03-16 11:13:39	ga_ls8c_ard_3-2-1_109074_2022-03-16_final
2022-03-16 11:15:15	ga_ls8c_ard_3-2-1_109078_2022-03-16_final
2022-03-20 10:49:17	ga_ls8c_ard_3-2-1_105075_2022-03-20_final
2022-03-24 10:25:18	ga_ls8c_ard_3-2-1_101077_2022-03-24_final
2022-04-01 11:15:27	ga_ls8c_ard_3-2-1_109079_2022-04-01_final
2022-05-09 10:34:08	ga_ls8c_ard_3-2-1_103068_2022-05-09_final
2022-05-15 11:41:10	ga_ls8c_ard_3-2-1_113081_2022-05-15_final
2022-05-16 09:07:28	ga_ls8c_ard_3-2-1_088083_2022-05-15_final
2022-05-28 09:33:46	ga_ls8c_ard_3-2-1_092087_2022-05-28_final
2022-06-02 09:51:12	ga_ls8c_ard_3-2-1_095084_2022-06-02_final
2022-07-19 10:46:17	ga_ls8c_ard_3-2-1_104082_2022-07-19_final
2022-07-22 09:40:44	ga_ls8c_ard_3-2-1_093088_2022-07-22_final
2022-08-05 09:46:52	ga_ls8c_ard_3-2-1_095072_2022-08-05_final
2022-08-17 10:11:39	ga_ls8c_ard_3-2-1_099072_2022-08-17_final
2022-08-18 10:54:07	ga_ls8c_ard_3-2-1_106070_2022-08-18_final
2022-08-24 11:59:07	ga_ls8c_ard_3-2-1_116078_2022-08-24_final
2022-08-26 10:08:16	ga_ls8c_ard_3-2-1_098079_2022-08-26_final
2022-08-27 09:11:51	ga_ls8c_ard_3-2-1_089077_2022-08-26_final
2022-09-03 10:59:18	ga_ls8c_ard_3-2-1_106083_2022-09-03_final
2022-09-11 10:05:09	ga_ls8c_ard_3-2-1_098071_2022-09-11_final
2022-09-18 10:16:57	ga_ls8c_ard_3-2-1_099085_2022-09-18_final
2022-09-19 09:17:21	ga_ls8c_ard_3-2-1_090075_2022-09-18_final
2022-09-19 09:22:56	ga_ls8c_ard_3-2-1_090089_2022-09-18_final
2022-09-20 09:57:25	ga_ls8c_ard_3-2-1_097067_2022-09-20_final
2022-09-30 10:34:53	ga_ls8c_ard_3-2-1_103068_2022-09-30_final
2022-10-12 11:00:17	ga_ls8c_ard_3-2-1_107070_2022-10-12_final
2022-10-18 10:26:26	ga_ls8c_ard_3-2-1_101078_2022-10-18_final
2022-10-22 09:58:33	ga_ls8c_ard_3-2-1_097070_2022-10-22_final
2022-10-28 11:00:48	ga_ls8c_ard_3-2-1_107071_2022-10-28_final
2022-11-14 10:03:31	ga_ls8c_ard_3-2-1_098067_2022-11-14_final
2022-11-15 10:52:45	ga_ls8c_ard_3-2-1_105082_2022-11-15_final
2022-11-22 10:59:19	ga_ls8c_ard_3-2-1_106083_2022-11-22_final
2022-11-26 10:32:13	ga_ls8c_ard_3-2-1_102077_2022-11-26_final
2022-11-29 09:27:50	ga_ls8c_ard_3-2-1_091086_2022-11-28_final
2022-12-03 10:40:00	ga_ls8c_ard_3-2-1_103081_2022-12-03_final
2022-12-12 10:28:59	ga_ls8c_ard_3-2-1_102069_2022-12-12_final
2022-12-18 09:57:49	ga_ls8c_ard_3-2-1_096084_2022-12-18_final
2022-12-20 09:41:02	ga_ls8c_ard_3-2-1_094073_2022-12-20_final
2022-12-29 09:39:38	ga_ls8c_ard_3-2-1_093085_2022-12-29_final
2023-01-11 10:46:23	ga_ls8c_ard_3-2-1_104082_2023-01-11_final
2023-01-14 11:14:27	ga_ls8c_ard_3-2-1_109075_2023-01-14_final
2023-01-17 10:09:37	ga_ls8c_ard_3-2-1_098083_2023-01-17_final
2023-01-23 09:29:48	ga_ls8c_ard_3-2-1_092076_2023-01-22_final
2023-01-29 10:28:51	ga_ls8c_ard_3-2-1_102069_2023-01-29_final
2023-01-30 09:37:37	ga_ls8c_ard_3-2-1_093080_2023-01-30_final
2023-02-15 09:35:30	ga_ls8c_ard_3-2-1_093075_2023-02-15_final
2023-02-16 10:18:21	ga_ls8c_ard_3-2-1_100074_2023-02-16_final
2023-02-22 11:22:49	ga_ls8c_ard_3-2-1_110081_2023-02-22_final
2023-02-27 11:38:30	ga_ls8c_ard_3-2-1_113074_2023-02-27_final
2023-03-08 11:32:15	ga_ls8c_ard_3-2-1_112074_2023-03-08_final
2023-03-10 11:19:29	ga_ls8c_ard_3-2-1_110073_2023-03-10_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