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
2017-07-17 09:30:54	ga_ls8c_ard_3-0-0_092080_2017-07-17_final
2017-07-17 09:31:18	ga_ls8c_ard_3-0-0_092081_2017-07-17_final
2017-07-17 11:09:47	ga_ls8c_ard_3-0-0_108080_2017-07-17_final
2017-07-17 11:10:11	ga_ls8c_ard_3-0-0_108081_2017-07-17_final
2017-07-18 10:14:34	ga_ls8c_ard_3-0-0_099081_2017-07-18_final
2017-07-19 09:18:57	ga_ls8c_ard_3-0-0_090081_2017-07-18_final
2017-07-19 10:57:50	ga_ls8c_ard_3-0-0_106081_2017-07-19_final
2017-07-27 10:08:28	ga_ls8c_ard_3-0-0_098081_2017-07-27_final
2017-07-27 11:47:21	ga_ls8c_ard_3-0-0_114081_2017-07-27_final
2017-07-28 09:12:27	ga_ls8c_ard_3-0-0_089080_2017-07-27_final
2017-07-28 09:12:51	ga_ls8c_ard_3-0-0_089081_2017-07-27_final
2017-07-28 10:51:44	ga_ls8c_ard_3-0-0_105081_2017-07-28_final
2017-07-29 09:56:07	ga_ls8c_ard_3-0-0_096081_2017-07-29_final
2017-07-29 11:35:00	ga_ls8c_ard_3-0-0_112081_2017-07-29_final
2021-09-24 10:08:26	ga_ls8c_ard_3-2-0_098080_2021-09-24_final
2021-09-25 10:52:07	ga_ls8c_ard_3-2-0_105081_2021-09-25_final
2021-09-26 09:56:30	ga_ls8c_ard_3-2-0_096081_2021-09-26_final
2021-09-26 11:34:59	ga_ls8c_ard_3-2-0_112080_2021-09-26_final
2021-09-26 11:35:23	ga_ls8c_ard_3-2-0_112081_2021-09-26_final
2021-09-27 10:39:46	ga_ls8c_ard_3-2-0_103081_2021-09-27_final
2021-09-28 09:44:09	ga_ls8c_ard_3-2-0_094081_2021-09-28_final
2021-09-28 11:23:02	ga_ls8c_ard_3-2-0_110081_2021-09-28_final
2021-09-29 10:27:25	ga_ls8c_ard_3-2-0_101081_2021-09-29_final
2021-09-30 09:31:24	ga_ls8c_ard_3-2-0_092080_2021-09-30_final
2021-09-30 09:31:48	ga_ls8c_ard_3-2-0_092081_2021-09-30_final
2021-10-09 09:25:40	ga_ls8c_ard_3-2-0_091081_2021-10-08_final
2021-10-09 11:04:33	ga_ls8c_ard_3-2-0_107081_2021-10-09_final
2021-10-10 10:08:56	ga_ls8c_ard_3-2-0_098081_2021-10-10_final
2021-10-10 11:47:26	ga_ls8c_ard_3-2-0_114080_2021-10-10_final
2021-10-10 11:47:49	ga_ls8c_ard_3-2-0_114081_2021-10-10_final
2021-10-11 09:12:55	ga_ls8c_ard_3-2-0_089080_2021-10-10_final
2021-10-11 09:13:19	ga_ls8c_ard_3-2-0_089081_2021-10-10_final
2021-10-11 10:51:48	ga_ls8c_ard_3-2-0_105080_2021-10-11_final
2021-10-11 10:52:12	ga_ls8c_ard_3-2-0_105081_2021-10-11_final
2021-10-14 09:44:14	ga_ls8c_ard_3-2-0_094081_2021-10-14_final
2021-10-14 11:23:07	ga_ls8c_ard_3-2-0_110081_2021-10-14_final
2021-10-15 10:27:06	ga_ls8c_ard_3-2-0_101080_2021-10-15_final
2021-10-15 10:27:30	ga_ls8c_ard_3-2-0_101081_2021-10-15_final
2023-06-23 11:15:59	ga_ls8c_ard_3-2-1_109081_2023-06-23_final
2023-06-24 10:19:59	ga_ls8c_ard_3-2-1_100080_2023-06-24_final
2023-06-24 10:20:23	ga_ls8c_ard_3-2-1_100081_2023-06-24_final
2023-06-25 09:24:23	ga_ls8c_ard_3-2-1_091080_2023-06-24_final
2023-06-25 09:24:47	ga_ls8c_ard_3-2-1_091081_2023-06-24_final
2023-06-25 11:03:40	ga_ls8c_ard_3-2-1_107081_2023-06-25_final
2023-06-26 10:08:04	ga_ls8c_ard_3-2-1_098081_2023-06-26_final
2023-06-26 11:46:33	ga_ls8c_ard_3-2-1_114080_2023-06-26_final
2023-06-26 11:46:57	ga_ls8c_ard_3-2-1_114081_2023-06-26_final
2023-06-27 09:12:04	ga_ls8c_ard_3-2-1_089080_2023-06-26_final
2023-06-27 09:12:28	ga_ls8c_ard_3-2-1_089081_2023-06-26_final
2023-07-02 09:31:04	ga_ls8c_ard_3-2-1_092081_2023-07-02_final
2023-07-02 11:09:33	ga_ls8c_ard_3-2-1_108080_2023-07-02_final
2023-07-02 11:09:57	ga_ls8c_ard_3-2-1_108081_2023-07-02_final
2023-07-03 10:14:21	ga_ls8c_ard_3-2-1_099081_2023-07-03_final
2023-07-03 11:52:50	ga_ls8c_ard_3-2-1_115080_2023-07-03_final
2023-07-04 09:18:44	ga_ls8c_ard_3-2-1_090081_2023-07-03_final
2023-07-04 10:57:13	ga_ls8c_ard_3-2-1_106080_2023-07-04_final
2023-07-04 10:57:37	ga_ls8c_ard_3-2-1_106081_2023-07-04_final
2023-07-05 10:01:36	ga_ls8c_ard_3-2-1_097080_2023-07-05_final
2023-07-05 10:02:00	ga_ls8c_ard_3-2-1_097081_2023-07-05_final
2023-07-13 09:12:37	ga_ls8c_ard_3-2-1_089081_2023-07-12_final
2023-07-13 10:51:06	ga_ls8c_ard_3-2-1_105080_2023-07-13_final
2023-07-13 10:51:30	ga_ls8c_ard_3-2-1_105081_2023-07-13_final
2023-07-14 09:55:53	ga_ls8c_ard_3-2-1_096081_2023-07-14_final
2023-07-14 11:34:46	ga_ls8c_ard_3-2-1_112081_2023-07-14_final
2023-07-15 10:38:45	ga_ls8c_ard_3-2-1_103080_2023-07-15_final
2023-07-15 10:39:09	ga_ls8c_ard_3-2-1_103081_2023-07-15_final
2023-07-21 10:01:39	ga_ls8c_ard_3-2-1_097080_2023-07-21_final
2023-07-21 10:02:03	ga_ls8c_ard_3-2-1_097081_2023-07-21_final
2023-07-21 11:40:56	ga_ls8c_ard_3-2-1_113081_2023-07-21_final
2023-07-22 09:06:03	ga_ls8c_ard_3-2-1_088080_2023-07-21_final
2023-07-22 09:06:27	ga_ls8c_ard_3-2-1_088081_2023-07-21_final
2023-07-22 10:44:56	ga_ls8c_ard_3-2-1_104080_2023-07-22_final
2023-07-22 10:45:20	ga_ls8c_ard_3-2-1_104081_2023-07-22_final
2023-07-23 09:49:20	ga_ls8c_ard_3-2-1_095080_2023-07-23_final
2023-07-23 09:49:44	ga_ls8c_ard_3-2-1_095081_2023-07-23_final
2023-07-23 11:28:37	ga_ls8c_ard_3-2-1_111081_2023-07-23_final
2023-07-24 10:32:36	ga_ls8c_ard_3-2-1_102080_2023-07-24_final
2023-07-24 10:33:00	ga_ls8c_ard_3-2-1_102081_2023-07-24_final
2023-07-25 09:37:24	ga_ls8c_ard_3-2-1_093081_2023-07-25_final
2023-07-25 11:15:53	ga_ls8c_ard_3-2-1_109080_2023-07-25_final
2023-07-25 11:16:17	ga_ls8c_ard_3-2-1_109081_2023-07-25_final
2023-07-26 10:20:41	ga_ls8c_ard_3-2-1_100081_2023-07-26_final
2023-09-10 10:33:16	ga_ls8c_ard_3-2-1_102081_2023-09-10_final
2023-09-11 09:37:15	ga_ls8c_ard_3-2-1_093080_2023-09-11_final
2023-09-11 09:37:39	ga_ls8c_ard_3-2-1_093081_2023-09-11_final
2023-09-11 11:16:08	ga_ls8c_ard_3-2-1_109080_2023-09-11_final
2023-09-11 11:16:32	ga_ls8c_ard_3-2-1_109081_2023-09-11_final
2023-09-12 10:20:32	ga_ls8c_ard_3-2-1_100080_2023-09-12_final
2023-09-12 10:20:56	ga_ls8c_ard_3-2-1_100081_2023-09-12_final
2023-09-13 09:25:19	ga_ls8c_ard_3-2-1_091081_2023-09-12_final
2023-09-13 11:04:12	ga_ls8c_ard_3-2-1_107081_2023-09-13_final
2023-10-12 10:33:01	ga_ls8c_ard_3-2-1_102080_2023-10-12_final
2023-10-12 10:33:25	ga_ls8c_ard_3-2-1_102081_2023-10-12_final
2023-10-13 09:37:48	ga_ls8c_ard_3-2-1_093081_2023-10-13_final
2023-10-13 11:16:41	ga_ls8c_ard_3-2-1_109081_2023-10-13_final
2023-10-14 10:21:04	ga_ls8c_ard_3-2-1_100081_2023-10-14_final
2023-10-14 10:21:04	ga_ls8c_ard_3-2-1_100081_2023-10-14_nrt
2023-10-15 09:25:26	ga_ls8c_ard_3-2-1_091081_2023-10-14_final
2023-10-15 09:25:26	ga_ls8c_ard_3-2-1_091081_2023-10-14_nrt
2023-10-15 11:04:19	ga_ls8c_ard_3-2-1_107081_2023-10-15_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