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
2016-05-05 10:08:09	ga_ls8c_ard_3-0-0_098081_2016-05-05_final
2016-05-05 11:47:02	ga_ls8c_ard_3-0-0_114081_2016-05-05_final
2016-05-06 09:12:31	ga_ls8c_ard_3-0-0_089081_2016-05-05_final
2016-05-06 10:51:24	ga_ls8c_ard_3-0-0_105081_2016-05-06_final
2016-05-21 10:08:08	ga_ls8c_ard_3-0-0_098081_2016-05-21_final
2016-05-21 11:47:01	ga_ls8c_ard_3-0-0_114081_2016-05-21_final
2016-05-22 09:12:31	ga_ls8c_ard_3-0-0_089081_2016-05-21_final
2016-05-22 10:51:24	ga_ls8c_ard_3-0-0_105081_2016-05-22_final
2016-05-27 09:31:05	ga_ls8c_ard_3-0-0_092081_2016-05-27_final
2016-05-27 11:09:58	ga_ls8c_ard_3-0-0_108081_2016-05-27_final
2016-05-28 10:14:21	ga_ls8c_ard_3-0-0_099081_2016-05-28_final
2016-05-29 09:18:44	ga_ls8c_ard_3-0-0_090081_2016-05-28_final
2016-05-29 10:57:37	ga_ls8c_ard_3-0-0_106081_2016-05-29_final
2016-05-30 10:02:00	ga_ls8c_ard_3-0-0_097081_2016-05-30_final
2016-05-30 11:40:54	ga_ls8c_ard_3-0-0_113081_2016-05-30_final
2016-05-31 09:06:23	ga_ls8c_ard_3-1-0_088081_2016-05-30_final
2016-05-31 10:45:16	ga_ls8c_ard_3-0-0_104081_2016-05-31_final
2016-06-05 09:24:57	ga_ls8c_ard_3-0-0_091081_2016-06-04_final
2016-06-05 11:03:50	ga_ls8c_ard_3-0-0_107081_2016-06-05_final
2016-06-06 10:08:13	ga_ls8c_ard_3-0-0_098081_2016-06-06_final
2016-06-06 11:47:06	ga_ls8c_ard_3-0-0_114081_2016-06-06_final
2016-06-07 09:12:36	ga_ls8c_ard_3-0-0_089081_2016-06-06_final
2016-06-07 10:51:29	ga_ls8c_ard_3-0-0_105081_2016-06-07_final
2016-06-12 09:31:09	ga_ls8c_ard_3-0-0_092081_2016-06-12_final
2016-06-12 11:10:02	ga_ls8c_ard_3-0-0_108081_2016-06-12_final
2016-06-13 10:14:25	ga_ls8c_ard_3-0-0_099081_2016-06-13_final
2016-06-14 09:18:47	ga_ls8c_ard_3-0-0_090081_2016-06-13_final
2016-06-14 10:57:40	ga_ls8c_ard_3-0-0_106081_2016-06-14_final
2016-06-15 10:02:03	ga_ls8c_ard_3-0-0_097081_2016-06-15_final
2016-06-15 11:40:56	ga_ls8c_ard_3-0-0_113081_2016-06-15_final
2016-06-16 09:06:26	ga_ls8c_ard_3-1-0_088081_2016-06-15_final
2016-06-16 10:45:19	ga_ls8c_ard_3-0-0_104081_2016-06-16_final
2016-07-07 09:25:10	ga_ls8c_ard_3-0-0_091081_2016-07-06_final
2016-07-07 11:04:03	ga_ls8c_ard_3-0-0_107081_2016-07-07_final
2016-07-08 10:08:26	ga_ls8c_ard_3-0-0_098081_2016-07-08_final
2016-07-08 11:47:19	ga_ls8c_ard_3-0-0_114081_2016-07-08_final
2016-07-09 09:12:49	ga_ls8c_ard_3-0-0_089081_2016-07-08_final
2016-07-09 10:51:42	ga_ls8c_ard_3-0-0_105081_2016-07-09_final
2016-07-10 09:56:06	ga_ls8c_ard_3-0-0_096081_2016-07-10_final
2016-07-10 11:34:59	ga_ls8c_ard_3-0-0_112081_2016-07-10_final
2016-07-11 10:39:22	ga_ls8c_ard_3-0-0_103081_2016-07-11_final
2016-07-24 10:08:32	ga_ls8c_ard_3-0-0_098081_2016-07-24_final
2016-07-24 11:47:25	ga_ls8c_ard_3-0-0_114081_2016-07-24_final
2016-07-25 09:12:55	ga_ls8c_ard_3-0-0_089081_2016-07-24_final
2016-07-25 10:51:48	ga_ls8c_ard_3-0-0_105081_2016-07-25_final
2016-08-08 09:25:18	ga_ls8c_ard_3-0-0_091081_2016-08-07_final
2016-08-08 11:04:11	ga_ls8c_ard_3-0-0_107081_2016-08-08_final
2016-08-20 09:50:06	ga_ls8c_ard_3-0-0_095081_2016-08-20_final
2016-08-20 11:28:59	ga_ls8c_ard_3-0-0_111081_2016-08-20_final
2016-08-21 10:33:22	ga_ls8c_ard_3-0-0_102081_2016-08-21_final
2016-08-22 09:37:45	ga_ls8c_ard_3-0-0_093081_2016-08-22_final
2016-08-22 11:16:38	ga_ls8c_ard_3-0-0_109081_2016-08-22_final
2016-08-23 10:21:01	ga_ls8c_ard_3-0-0_100081_2016-08-23_final
2016-09-21 09:50:14	ga_ls8c_ard_3-0-0_095081_2016-09-21_final
2016-09-21 11:29:07	ga_ls8c_ard_3-0-0_111081_2016-09-21_final
2016-09-22 10:33:29	ga_ls8c_ard_3-0-0_102081_2016-09-22_final
2016-09-23 09:37:52	ga_ls8c_ard_3-0-0_093081_2016-09-23_final
2016-09-23 11:16:45	ga_ls8c_ard_3-0-0_109081_2016-09-23_final
2016-09-24 10:21:08	ga_ls8c_ard_3-0-0_100081_2016-09-24_final
2016-10-07 09:50:17	ga_ls8c_ard_3-0-0_095081_2016-10-07_final
2016-10-07 11:29:10	ga_ls8c_ard_3-0-0_111081_2016-10-07_final
2016-10-08 10:33:33	ga_ls8c_ard_3-0-0_102081_2016-10-08_final
2016-10-09 09:37:56	ga_ls8c_ard_3-0-0_093081_2016-10-09_final
2016-10-09 11:16:49	ga_ls8c_ard_3-0-0_109081_2016-10-09_final
2016-10-10 10:21:12	ga_ls8c_ard_3-0-0_100081_2016-10-10_final
2018-11-09 09:31:23	ga_ls8c_ard_3-0-0_092081_2018-11-09_final
2018-11-09 11:10:16	ga_ls8c_ard_3-0-0_108081_2018-11-09_final
2018-11-10 10:14:39	ga_ls8c_ard_3-0-0_099081_2018-11-10_final
2018-11-11 09:19:02	ga_ls8c_ard_3-0-0_090081_2018-11-10_final
2018-11-11 10:57:55	ga_ls8c_ard_3-0-0_106081_2018-11-11_final
2018-11-12 10:02:17	ga_ls8c_ard_3-0-0_097081_2018-11-12_final
2018-11-12 11:41:10	ga_ls8c_ard_3-0-0_113081_2018-11-12_final
2018-11-13 09:06:40	ga_ls8c_ard_3-1-0_088081_2018-11-12_final
2018-11-13 10:45:33	ga_ls8c_ard_3-0-0_104081_2018-11-13_final
2019-01-14 10:57:49	ga_ls8c_ard_3-0-0_106081_2019-01-14_final
2019-01-15 10:02:11	ga_ls8c_ard_3-0-0_097081_2019-01-15_final
2019-01-15 11:41:05	ga_ls8c_ard_3-0-0_113081_2019-01-15_final
2019-01-16 10:45:27	ga_ls8c_ard_3-0-0_104081_2019-01-16_final
2020-03-15 09:56:02	ga_ls8c_ard_3-1-0_096081_2020-03-15_final
2020-03-15 11:34:55	ga_ls8c_ard_3-1-0_112081_2020-03-15_final
2020-03-16 10:39:17	ga_ls8c_ard_3-1-0_103081_2020-03-16_final
2020-03-17 09:43:39	ga_ls8c_ard_3-1-0_094081_2020-03-17_final
2020-03-17 11:22:32	ga_ls8c_ard_3-1-0_110081_2020-03-17_final
2020-03-18 10:26:55	ga_ls8c_ard_3-1-0_101081_2020-03-18_final
2020-03-24 11:28:39	ga_ls8c_ard_3-1-0_111081_2020-03-24_final
2020-03-25 10:33:01	ga_ls8c_ard_3-1-0_102081_2020-03-25_final
2020-03-26 09:37:24	ga_ls8c_ard_3-1-0_093081_2020-03-26_final
2020-03-26 11:16:17	ga_ls8c_ard_3-1-0_109081_2020-03-26_final
2020-03-27 10:20:39	ga_ls8c_ard_3-1-0_100081_2020-03-27_final
2020-05-02 09:55:38	ga_ls8c_ard_3-1-0_096081_2020-05-02_final
2020-05-02 11:34:31	ga_ls8c_ard_3-1-0_112081_2020-05-02_final
2020-05-03 10:38:53	ga_ls8c_ard_3-1-0_103081_2020-05-03_final
2020-05-04 09:43:15	ga_ls8c_ard_3-1-0_094081_2020-05-04_final
2020-05-04 11:22:08	ga_ls8c_ard_3-1-0_110081_2020-05-04_final
2020-05-05 10:26:30	ga_ls8c_ard_3-1-0_101081_2020-05-05_final
2020-05-18 09:55:36	ga_ls8c_ard_3-1-0_096081_2020-05-18_final
2020-05-18 11:34:29	ga_ls8c_ard_3-1-0_112081_2020-05-18_final
2020-05-19 10:38:52	ga_ls8c_ard_3-1-0_103081_2020-05-19_final
2020-05-20 09:43:15	ga_ls8c_ard_3-1-0_094081_2020-05-20_final
2020-05-20 11:22:08	ga_ls8c_ard_3-1-0_110081_2020-05-20_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