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
2015-01-17 09:31:28	ga_ls8c_ard_3-0-0_092081_2015-01-17_final
2015-01-17 11:10:21	ga_ls8c_ard_3-0-0_108081_2015-01-17_final
2015-01-18 10:14:43	ga_ls8c_ard_3-0-0_099081_2015-01-18_final
2015-01-19 09:19:05	ga_ls8c_ard_3-0-0_090081_2015-01-18_final
2015-01-19 10:57:58	ga_ls8c_ard_3-0-0_106081_2015-01-19_final
2015-02-19 10:14:32	ga_ls8c_ard_3-0-0_099081_2015-02-19_final
2015-02-20 09:18:54	ga_ls8c_ard_3-0-0_090081_2015-02-19_final
2015-02-20 10:57:47	ga_ls8c_ard_3-0-0_106081_2015-02-20_final
2015-02-28 10:08:19	ga_ls8c_ard_3-0-0_098081_2015-02-28_final
2015-02-28 11:47:12	ga_ls8c_ard_3-0-0_114081_2015-02-28_final
2015-03-01 09:12:41	ga_ls8c_ard_3-0-0_089081_2015-02-28_final
2015-03-01 10:51:34	ga_ls8c_ard_3-0-0_105081_2015-03-01_final
2019-07-11 09:06:40	ga_ls8c_ard_3-1-0_088081_2019-07-10_final
2019-07-11 10:45:33	ga_ls8c_ard_3-1-0_104081_2019-07-11_final
2019-07-12 09:49:32	ga_ls8c_ard_3-1-0_095080_2019-07-12_final
2019-07-12 09:49:56	ga_ls8c_ard_3-1-0_095081_2019-07-12_final
2019-07-12 11:28:49	ga_ls8c_ard_3-1-0_111081_2019-07-12_final
2019-07-16 09:25:13	ga_ls8c_ard_3-1-0_091081_2019-07-15_final
2019-07-16 11:04:06	ga_ls8c_ard_3-1-0_107081_2019-07-16_final
2019-07-25 09:19:06	ga_ls8c_ard_3-1-0_090081_2019-07-24_final
2019-07-28 09:50:01	ga_ls8c_ard_3-1-0_095081_2019-07-28_final
2019-07-28 11:28:54	ga_ls8c_ard_3-1-0_111081_2019-07-28_final
2019-07-29 10:32:53	ga_ls8c_ard_3-1-0_102080_2019-07-29_final
2019-07-29 10:33:17	ga_ls8c_ard_3-1-0_102081_2019-07-29_final
2019-08-06 09:43:54	ga_ls8c_ard_3-1-0_094081_2019-08-06_final
2019-08-06 11:22:23	ga_ls8c_ard_3-1-0_110080_2019-08-06_final
2019-08-06 11:22:47	ga_ls8c_ard_3-1-0_110081_2019-08-06_final
2019-08-07 10:27:10	ga_ls8c_ard_3-1-0_101081_2019-08-07_final
2019-08-08 09:31:33	ga_ls8c_ard_3-1-0_092081_2019-08-08_final
2019-08-08 11:10:02	ga_ls8c_ard_3-1-0_108080_2019-08-08_final
2019-08-08 11:10:26	ga_ls8c_ard_3-1-0_108081_2019-08-08_final
2019-08-09 10:14:25	ga_ls8c_ard_3-1-0_099080_2019-08-09_final
2019-08-09 10:14:49	ga_ls8c_ard_3-1-0_099081_2019-08-09_final
2019-08-10 09:19:12	ga_ls8c_ard_3-1-0_090081_2019-08-09_final
2019-08-10 10:58:05	ga_ls8c_ard_3-1-0_106081_2019-08-10_final
2019-08-28 09:06:31	ga_ls8c_ard_3-1-0_088080_2019-08-27_final
2019-08-28 09:06:55	ga_ls8c_ard_3-1-0_088081_2019-08-27_final
2019-08-28 10:45:48	ga_ls8c_ard_3-1-0_104081_2019-08-28_final
2019-08-29 09:50:11	ga_ls8c_ard_3-1-0_095081_2019-08-29_final
2019-08-29 11:29:04	ga_ls8c_ard_3-1-0_111081_2019-08-29_final
2019-08-30 10:33:27	ga_ls8c_ard_3-1-0_102081_2019-08-30_final
2019-09-06 10:39:15	ga_ls8c_ard_3-1-0_103080_2019-09-06_final
2019-09-06 10:39:39	ga_ls8c_ard_3-1-0_103081_2019-09-06_final
2019-09-07 09:44:02	ga_ls8c_ard_3-1-0_094081_2019-09-07_final
2019-09-07 11:22:55	ga_ls8c_ard_3-1-0_110081_2019-09-07_final
2019-09-08 10:27:18	ga_ls8c_ard_3-1-0_101081_2019-09-08_final
2019-09-12 10:02:37	ga_ls8c_ard_3-1-0_097081_2019-09-12_final
2019-09-12 11:41:30	ga_ls8c_ard_3-1-0_113081_2019-09-12_final
2019-09-13 09:07:00	ga_ls8c_ard_3-1-0_088081_2019-09-12_final
2019-09-13 10:45:29	ga_ls8c_ard_3-1-0_104080_2019-09-13_final
2019-09-13 10:45:53	ga_ls8c_ard_3-1-0_104081_2019-09-13_final
2019-09-14 09:50:16	ga_ls8c_ard_3-1-0_095081_2019-09-14_final
2019-09-14 11:29:09	ga_ls8c_ard_3-1-0_111081_2019-09-14_final
2019-09-15 10:33:32	ga_ls8c_ard_3-1-0_102081_2019-09-15_final
2019-10-12 10:15:06	ga_ls8c_ard_3-1-0_099081_2019-10-12_final
2019-10-13 09:19:29	ga_ls8c_ard_3-1-0_090081_2019-10-12_final
2019-10-13 10:58:22	ga_ls8c_ard_3-1-0_106081_2019-10-13_final
2019-10-24 10:39:50	ga_ls8c_ard_3-1-0_103081_2019-10-24_final
2019-10-25 09:44:13	ga_ls8c_ard_3-1-0_094081_2019-10-25_final
2019-10-25 11:23:06	ga_ls8c_ard_3-1-0_110081_2019-10-25_final
2019-10-26 10:27:04	ga_ls8c_ard_3-1-0_101080_2019-10-26_final
2019-10-26 10:27:28	ga_ls8c_ard_3-1-0_101081_2019-10-26_final
2019-11-18 10:33:35	ga_ls8c_ard_3-1-0_102081_2019-11-18_final
2019-11-19 09:37:34	ga_ls8c_ard_3-1-0_093080_2019-11-19_final
2019-11-19 09:37:58	ga_ls8c_ard_3-1-0_093081_2019-11-19_final
2019-11-19 11:16:51	ga_ls8c_ard_3-1-0_109081_2019-11-19_final
2019-11-20 10:21:13	ga_ls8c_ard_3-1-0_100081_2019-11-20_final
2019-11-21 09:25:36	ga_ls8c_ard_3-1-0_091081_2019-11-20_final
2019-11-21 11:04:28	ga_ls8c_ard_3-1-0_107081_2019-11-21_final
2023-03-21 11:04:02	ga_ls8c_ard_3-2-1_107081_2023-03-21_final
2023-03-22 10:08:24	ga_ls8c_ard_3-2-1_098081_2023-03-22_final
2023-03-22 11:47:17	ga_ls8c_ard_3-2-1_114081_2023-03-22_final
2023-03-23 09:12:45	ga_ls8c_ard_3-2-1_089081_2023-03-22_final
2023-03-23 10:51:38	ga_ls8c_ard_3-2-1_105081_2023-03-23_final
2023-03-24 09:56:00	ga_ls8c_ard_3-2-1_096081_2023-03-24_final
2023-03-30 10:57:47	ga_ls8c_ard_3-2-1_106081_2023-03-30_final
2023-03-31 10:02:09	ga_ls8c_ard_3-2-1_097081_2023-03-31_final
2023-03-31 11:41:02	ga_ls8c_ard_3-2-1_113081_2023-03-31_final
2023-04-01 09:06:31	ga_ls8c_ard_3-2-1_088081_2023-03-31_final
2023-04-01 10:45:23	ga_ls8c_ard_3-2-1_104081_2023-04-01_final
2023-04-02 09:49:45	ga_ls8c_ard_3-2-1_095081_2023-04-02_final
2023-04-02 11:28:38	ga_ls8c_ard_3-2-1_111081_2023-04-02_final
2023-04-03 10:33:00	ga_ls8c_ard_3-2-1_102081_2023-04-03_final
2023-04-04 09:37:21	ga_ls8c_ard_3-2-1_093081_2023-04-04_final
2023-04-04 11:16:14	ga_ls8c_ard_3-2-1_109081_2023-04-04_final
2023-04-05 10:20:36	ga_ls8c_ard_3-2-1_100081_2023-04-05_final
2023-04-06 09:24:57	ga_ls8c_ard_3-2-1_091081_2023-04-05_final
2023-04-06 11:03:50	ga_ls8c_ard_3-2-1_107081_2023-04-06_final
2023-04-07 10:08:12	ga_ls8c_ard_3-2-1_098081_2023-04-07_final
2023-04-11 11:22:16	ga_ls8c_ard_3-2-1_110081_2023-04-11_final
2023-04-12 10:26:38	ga_ls8c_ard_3-2-1_101081_2023-04-12_final
2023-04-13 09:31:01	ga_ls8c_ard_3-2-1_092081_2023-04-13_final
2023-04-13 11:09:54	ga_ls8c_ard_3-2-1_108081_2023-04-13_final
2023-04-14 10:14:16	ga_ls8c_ard_3-2-1_099081_2023-04-14_final
2023-04-15 09:18:39	ga_ls8c_ard_3-2-1_090081_2023-04-14_final
2023-04-25 09:55:41	ga_ls8c_ard_3-2-1_096081_2023-04-25_final
2023-04-25 11:34:34	ga_ls8c_ard_3-2-1_112081_2023-04-25_final
2023-04-26 10:38:57	ga_ls8c_ard_3-2-1_103081_2023-04-26_final
2023-04-27 09:43:19	ga_ls8c_ard_3-2-1_094081_2023-04-27_final
2023-04-27 11:22:12	ga_ls8c_ard_3-2-1_110081_2023-04-27_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