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
2014-10-07 10:08:44	ga_ls8c_ard_3-0-0_098081_2014-10-07_final
2014-10-07 10:09:08	ga_ls8c_ard_3-0-0_098082_2014-10-07_final
2014-10-07 11:47:37	ga_ls8c_ard_3-0-0_114081_2014-10-07_final
2014-10-08 09:13:07	ga_ls8c_ard_3-0-0_089081_2014-10-07_final
2014-10-08 09:13:31	ga_ls8c_ard_3-0-0_089082_2014-10-07_final
2014-10-08 10:52:00	ga_ls8c_ard_3-0-0_105081_2014-10-08_final
2014-10-08 10:52:24	ga_ls8c_ard_3-0-0_105082_2014-10-08_final
2014-10-09 09:56:22	ga_ls8c_ard_3-0-0_096081_2014-10-09_final
2014-10-09 09:56:46	ga_ls8c_ard_3-0-0_096082_2014-10-09_final
2014-10-09 11:35:15	ga_ls8c_ard_3-0-0_112081_2014-10-09_final
2014-10-09 11:35:39	ga_ls8c_ard_3-0-0_112082_2014-10-09_final
2014-10-10 10:39:38	ga_ls8c_ard_3-0-0_103081_2014-10-10_final
2014-10-10 10:40:02	ga_ls8c_ard_3-0-0_103082_2014-10-10_final
2014-10-11 09:44:01	ga_ls8c_ard_3-0-0_094081_2014-10-11_final
2014-10-11 09:44:25	ga_ls8c_ard_3-0-0_094082_2014-10-11_final
2014-10-11 11:22:54	ga_ls8c_ard_3-0-0_110081_2014-10-11_final
2014-10-11 11:23:18	ga_ls8c_ard_3-0-0_110082_2014-10-11_final
2014-10-12 10:27:17	ga_ls8c_ard_3-0-0_101081_2014-10-12_final
2014-10-12 10:27:41	ga_ls8c_ard_3-0-0_101082_2014-10-12_final
2014-12-13 10:39:31	ga_ls8c_ard_3-0-0_103081_2014-12-13_final
2014-12-13 10:39:55	ga_ls8c_ard_3-0-0_103082_2014-12-13_final
2014-12-14 09:43:54	ga_ls8c_ard_3-0-0_094081_2014-12-14_final
2014-12-14 09:44:18	ga_ls8c_ard_3-0-0_094082_2014-12-14_final
2014-12-14 11:22:47	ga_ls8c_ard_3-0-0_110081_2014-12-14_final
2014-12-14 11:23:11	ga_ls8c_ard_3-0-0_110082_2014-12-14_final
2014-12-15 10:27:11	ga_ls8c_ard_3-0-0_101081_2014-12-15_final
2014-12-15 10:27:35	ga_ls8c_ard_3-0-0_101082_2014-12-15_final
2014-12-16 09:31:34	ga_ls8c_ard_3-0-0_092081_2014-12-16_final
2014-12-16 09:31:58	ga_ls8c_ard_3-0-0_092082_2014-12-16_final
2014-12-16 11:10:27	ga_ls8c_ard_3-0-0_108081_2014-12-16_final
2014-12-16 11:10:51	ga_ls8c_ard_3-0-0_108082_2014-12-16_final
2014-12-17 10:14:50	ga_ls8c_ard_3-0-0_099081_2014-12-17_final
2014-12-17 10:15:14	ga_ls8c_ard_3-0-0_099082_2014-12-17_final
2014-12-18 09:19:13	ga_ls8c_ard_3-0-0_090081_2014-12-17_final
2014-12-18 09:19:37	ga_ls8c_ard_3-0-0_090082_2014-12-17_final
2014-12-18 10:58:06	ga_ls8c_ard_3-0-0_106081_2014-12-18_final
2014-12-18 10:58:30	ga_ls8c_ard_3-0-0_106082_2014-12-18_final
2015-02-27 09:25:04	ga_ls8c_ard_3-0-0_091081_2015-02-26_final
2015-02-27 09:25:28	ga_ls8c_ard_3-0-0_091082_2015-02-26_final
2015-02-27 11:03:57	ga_ls8c_ard_3-0-0_107081_2015-02-27_final
2015-02-27 11:04:20	ga_ls8c_ard_3-1-0_107082_2015-02-27_final
2015-06-17 09:36:56	ga_ls8c_ard_3-0-0_093081_2015-06-17_final
2015-06-17 09:37:20	ga_ls8c_ard_3-0-0_093082_2015-06-17_final
2015-06-17 11:15:49	ga_ls8c_ard_3-0-0_109081_2015-06-17_final
2015-06-17 11:16:13	ga_ls8c_ard_3-0-0_109082_2015-06-17_final
2015-06-18 10:20:12	ga_ls8c_ard_3-0-0_100081_2015-06-18_final
2015-06-18 10:20:36	ga_ls8c_ard_3-1-0_100082_2015-06-18_final
2015-06-19 09:24:35	ga_ls8c_ard_3-0-0_091081_2015-06-18_final
2015-06-19 09:24:59	ga_ls8c_ard_3-0-0_091082_2015-06-18_final
2015-06-19 11:03:28	ga_ls8c_ard_3-0-0_107081_2015-06-19_final
2015-06-19 11:03:52	ga_ls8c_ard_3-0-0_107082_2015-06-19_final
2021-01-03 09:19:46	ga_ls8c_ard_3-2-0_090082_2021-01-02_final
2021-01-03 10:58:15	ga_ls8c_ard_3-2-0_106081_2021-01-03_final
2021-01-03 10:58:39	ga_ls8c_ard_3-2-0_106082_2021-01-03_final
2021-01-08 09:37:52	ga_ls8c_ard_3-2-0_093081_2021-01-08_final
2021-01-08 09:38:16	ga_ls8c_ard_3-2-0_093082_2021-01-08_final
2021-01-08 11:16:45	ga_ls8c_ard_3-2-0_109081_2021-01-08_final
2021-01-08 11:17:09	ga_ls8c_ard_3-2-0_109082_2021-01-08_final
2021-01-09 10:21:07	ga_ls8c_ard_3-2-0_100081_2021-01-09_final
2021-01-09 10:21:31	ga_ls8c_ard_3-2-0_100082_2021-01-09_final
2021-01-13 11:35:15	ga_ls8c_ard_3-2-0_112081_2021-01-13_final
2021-01-13 11:35:39	ga_ls8c_ard_3-2-0_112082_2021-01-13_final
2021-01-14 10:39:37	ga_ls8c_ard_3-2-0_103081_2021-01-14_final
2021-01-14 10:40:01	ga_ls8c_ard_3-2-0_103082_2021-01-14_final
2021-01-15 09:43:59	ga_ls8c_ard_3-2-0_094081_2021-01-15_final
2021-01-15 09:44:23	ga_ls8c_ard_3-2-0_094082_2021-01-15_final
2021-02-17 08:48:40	ga_ls8c_ard_3-2-1_085082_2021-02-16_final
2021-02-17 10:27:09	ga_ls8c_ard_3-2-0_101081_2021-02-17_final
2021-02-17 10:27:32	ga_ls8c_ard_3-2-0_101082_2021-02-17_final
2021-02-18 09:31:31	ga_ls8c_ard_3-2-0_092081_2021-02-18_final
2021-02-18 09:31:55	ga_ls8c_ard_3-2-0_092082_2021-02-18_final
2021-03-03 10:39:24	ga_ls8c_ard_3-2-0_103081_2021-03-03_final
2021-03-03 10:39:48	ga_ls8c_ard_3-2-0_103082_2021-03-03_final
2021-03-04 09:43:46	ga_ls8c_ard_3-2-0_094081_2021-03-04_final
2021-03-04 09:44:10	ga_ls8c_ard_3-2-0_094082_2021-03-04_final
2021-03-04 11:23:03	ga_ls8c_ard_3-2-0_110082_2021-03-04_final
2022-01-25 09:50:09	ga_ls8c_ard_3-2-1_095081_2022-01-25_final
2022-01-25 09:50:33	ga_ls8c_ard_3-2-1_095082_2022-01-25_final
2022-05-24 11:35:00	ga_ls8c_ard_3-2-1_112081_2022-05-24_final
2022-05-24 11:35:24	ga_ls8c_ard_3-2-1_112082_2022-05-24_final
2022-05-25 10:39:22	ga_ls8c_ard_3-2-1_103081_2022-05-25_final
2022-05-25 10:39:46	ga_ls8c_ard_3-2-1_103082_2022-05-25_final
2022-05-26 09:43:45	ga_ls8c_ard_3-2-1_094081_2022-05-26_final
2022-05-26 09:44:09	ga_ls8c_ard_3-2-1_094082_2022-05-26_final
2022-05-26 11:22:38	ga_ls8c_ard_3-2-1_110081_2022-05-26_final
2022-05-26 11:23:02	ga_ls8c_ard_3-2-1_110082_2022-05-26_final
2022-05-27 08:48:31	ga_ls8c_ard_3-2-1_085082_2022-05-26_final
2022-05-27 10:27:00	ga_ls8c_ard_3-2-1_101081_2022-05-27_final
2022-05-27 10:27:24	ga_ls8c_ard_3-2-1_101082_2022-05-27_final
2022-05-28 09:31:23	ga_ls8c_ard_3-2-1_092081_2022-05-28_final
2022-05-28 09:31:47	ga_ls8c_ard_3-2-1_092082_2022-05-28_final
2022-05-28 11:10:16	ga_ls8c_ard_3-2-1_108081_2022-05-28_final
2022-05-28 11:10:40	ga_ls8c_ard_3-2-1_108082_2022-05-28_final
2022-05-29 10:14:39	ga_ls8c_ard_3-2-1_099081_2022-05-29_final
2022-05-29 10:15:03	ga_ls8c_ard_3-2-1_099082_2022-05-29_final
2022-05-30 09:19:03	ga_ls8c_ard_3-2-1_090081_2022-05-29_final
2022-05-30 09:19:27	ga_ls8c_ard_3-2-1_090082_2022-05-29_final
2022-05-30 10:57:56	ga_ls8c_ard_3-2-1_106081_2022-05-30_final
2022-05-30 10:58:20	ga_ls8c_ard_3-2-1_106082_2022-05-30_final
2022-05-31 10:02:20	ga_ls8c_ard_3-2-1_097081_2022-05-31_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years