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
2014-04-24 09:07:00	ga_ls8c_ard_3-0-0_088082_2014-04-23_final
2014-07-07 09:40:03	ga_ls8c_ard_3-0-0_094072_2014-07-07_final
2015-02-23 09:45:25	ga_ls8c_ard_3-0-0_095070_2015-02-23_final
2015-03-27 09:45:54	ga_ls8c_ard_3-0-0_095072_2015-03-27_final
2015-04-05 09:39:36	ga_ls8c_ard_3-0-0_094072_2015-04-05_final
2015-07-10 09:44:55	ga_ls8c_ard_3-0-0_094085_2015-07-10_final
2015-08-23 11:45:36	ga_ls8c_ard_3-0-0_114077_2015-08-23_final
2015-11-02 11:52:55	ga_ls8c_ard_3-0-0_115079_2015-11-02_final
2015-12-01 09:43:34	ga_ls8c_ard_3-0-0_094080_2015-12-01_final
2015-12-17 09:39:58	ga_ls8c_ard_3-0-0_094071_2015-12-17_final
2016-01-02 09:41:07	ga_ls8c_ard_3-0-0_094074_2016-01-02_final
2016-01-05 11:52:05	ga_ls8c_ard_3-0-0_115077_2016-01-05_final
2016-06-01 09:46:04	ga_ls8c_ard_3-0-0_095072_2016-06-01_final
2016-06-16 09:07:14	ga_ls8c_ard_3-0-0_088083_2016-06-15_final
2016-12-03 09:40:09	ga_ls8c_ard_3-0-0_094071_2016-12-03_final
2016-12-25 09:07:22	ga_ls8c_ard_3-0-0_088082_2016-12-24_final
2017-06-29 09:39:36	ga_ls8c_ard_3-0-0_094071_2017-06-29_final
2018-06-19 11:52:08	ga_ls8c_ard_3-0-0_115080_2018-06-19_final
2018-09-16 11:41:28	ga_ls8c_ard_3-0-0_114067_2018-09-16_final
2018-12-15 09:07:24	ga_ls8c_ard_3-0-0_088083_2018-12-14_final
2019-06-26 09:51:52	ga_ls8c_ard_3-1-0_095086_2019-06-26_final
2020-02-21 09:52:00	ga_ls8c_ard_3-1-0_095086_2020-02-21_final
2020-07-14 09:45:52	ga_ls8c_ard_3-1-0_095071_2020-07-14_final
2020-12-04 09:07:53	ga_ls8c_ard_3-1-0_088083_2020-12-03_final
2021-03-06 09:28:36	ga_ls8c_ard_3-2-0_092074_2021-03-05_final
2021-03-13 09:33:55	ga_ls8c_ard_3-2-0_093072_2021-03-13_final
2021-03-26 09:06:08	ga_ls8c_ard_3-2-0_088080_2021-03-25_final
2021-04-06 10:22:50	ga_ls8c_ard_3-2-0_101071_2021-04-06_final
2021-04-16 11:01:27	ga_ls8c_ard_3-2-0_107075_2021-04-16_final
2021-05-08 10:22:11	ga_ls8c_ard_3-2-0_101070_2021-05-08_final
2021-05-30 09:46:32	ga_ls8c_ard_3-2-0_095073_2021-05-30_final
2021-06-30 09:06:14	ga_ls8c_ard_3-2-0_088080_2021-06-29_final
2021-07-21 09:27:14	ga_ls8c_ard_3-2-0_091086_2021-07-20_final
2021-07-25 10:35:51	ga_ls8c_ard_3-2-0_103072_2021-07-25_final
2021-07-27 10:23:06	ga_ls8c_ard_3-2-0_101071_2021-07-27_final
2021-09-25 10:52:31	ga_ls8c_ard_3-2-0_105082_2021-09-25_final
2021-10-17 10:13:33	ga_ls8c_ard_3-2-0_099077_2021-10-17_final
2021-10-17 11:53:14	ga_ls8c_ard_3-2-0_115079_2021-10-17_final
2021-10-19 11:38:05	ga_ls8c_ard_3-2-0_113072_2021-10-19_final
2021-10-27 10:49:50	ga_ls8c_ard_3-2-0_105075_2021-10-27_final
2021-11-17 09:29:24	ga_ls8c_ard_3-2-0_092075_2021-11-16_final
2021-11-18 10:14:15	ga_ls8c_ard_3-2-0_099079_2021-11-18_final
2021-11-19 09:22:13	ga_ls8c_ard_3-2-0_090088_2021-11-18_final
2021-11-19 10:53:07	ga_ls8c_ard_3-2-0_106068_2021-11-19_final
2021-12-12 09:25:14	ga_ls8c_ard_3-2-1_091080_2021-12-11_final
2021-12-30 10:46:52	ga_ls8c_ard_3-2-1_105068_2021-12-30_final
2022-01-14 10:04:22	ga_ls8c_ard_3-2-1_098070_2022-01-14_final
2022-02-08 10:04:04	ga_ls8c_ard_3-2-1_097085_2022-02-08_final
2022-02-12 09:33:44	ga_ls8c_ard_3-2-1_093071_2022-02-12_final
2022-02-26 09:52:25	ga_ls8c_ard_3-2-1_095087_2022-02-26_final
2022-05-05 11:01:36	ga_ls8c_ard_3-2-1_107075_2022-05-05_final
2022-05-19 09:33:59	ga_ls8c_ard_3-2-1_093072_2022-05-19_final
2022-06-06 09:23:21	ga_ls8c_ard_3-2-1_091076_2022-06-05_final
2022-06-17 10:42:37	ga_ls8c_ard_3-2-1_104073_2022-06-17_final
2022-06-29 11:10:11	ga_ls8c_ard_3-2-1_108080_2022-06-29_final
2022-07-27 11:32:38	ga_ls8c_ard_3-2-1_112074_2022-07-27_final
2022-07-29 09:40:13	ga_ls8c_ard_3-2-1_094071_2022-07-29_final
2022-09-12 09:13:32	ga_ls8c_ard_3-2-1_089081_2022-09-11_final
2022-09-19 09:17:45	ga_ls8c_ard_3-2-1_090076_2022-09-18_final
2022-10-19 09:33:37	ga_ls8c_ard_3-2-1_092085_2022-10-19_final
2022-11-15 10:49:57	ga_ls8c_ard_3-2-1_105075_2022-11-15_final
2022-11-29 11:00:44	ga_ls8c_ard_3-2-1_107071_2022-11-29_final
2023-01-30 11:14:06	ga_ls8c_ard_3-2-1_109074_2023-01-30_final
2023-01-31 10:17:41	ga_ls8c_ard_3-2-1_100072_2023-01-31_final
2023-02-01 11:02:09	ga_ls8c_ard_3-2-1_107075_2023-02-01_final
2023-02-02 10:06:07	ga_ls8c_ard_3-2-1_098074_2023-02-02_final
2023-02-10 09:21:49	ga_ls8c_ard_3-2-1_090087_2023-02-09_final
2023-02-15 11:17:59	ga_ls8c_ard_3-2-1_109084_2023-02-15_final
2023-03-07 09:11:19	ga_ls8c_ard_3-2-1_089077_2023-03-06_final
2023-03-10 09:45:47	ga_ls8c_ard_3-2-1_094086_2023-03-10_final
2023-03-21 09:23:10	ga_ls8c_ard_3-2-1_091076_2023-03-20_final
2023-04-06 11:01:03	ga_ls8c_ard_3-2-1_107074_2023-04-06_final
2023-04-30 10:08:37	ga_ls8c_ard_3-2-1_099067_2023-04-30_final
2023-05-22 11:13:01	ga_ls8c_ard_3-2-1_109074_2023-05-22_final
2023-05-31 09:32:46	ga_ls8c_ard_3-2-1_092086_2023-05-31_final
2023-06-06 10:28:14	ga_ls8c_ard_3-2-1_102070_2023-06-06_final
2023-06-22 10:27:56	ga_ls8c_ard_3-2-1_102069_2023-06-22_final
2023-07-08 10:28:09	ga_ls8c_ard_3-2-1_102069_2023-07-08_final
2023-07-28 10:03:09	ga_ls8c_ard_3-2-1_098068_2023-07-28_final
2023-08-14 09:16:00	ga_ls8c_ard_3-2-1_089089_2023-08-13_final
2023-08-23 09:06:19	ga_ls8c_ard_3-2-1_088080_2023-08-22_final
2023-08-28 09:22:29	ga_ls8c_ard_3-2-1_091074_2023-08-27_final
2023-08-29 10:09:20	ga_ls8c_ard_3-2-1_098083_2023-08-29_final
2023-08-31 11:32:16	ga_ls8c_ard_3-2-1_112074_2023-08-31_final
2023-09-08 09:06:19	ga_ls8c_ard_3-2-1_088080_2023-09-07_final
2023-10-08 09:21:38	ga_ls8c_ard_3-2-1_090087_2023-10-07_final
2023-10-22 11:07:42	ga_ls8c_ard_3-2-1_108074_2023-10-22_final
2023-10-26 10:46:13	ga_ls8c_ard_3-2-1_104082_2023-10-26_final
2023-10-28 10:30:17	ga_ls8c_ard_3-2-1_102073_2023-10-28_final
2023-11-12 11:25:50	ga_ls8c_ard_3-2-1_111073_2023-11-12_final
2023-11-26 09:57:25	ga_ls8c_ard_3-2-1_097068_2023-11-26_final
2023-12-05 11:32:23	ga_ls8c_ard_3-2-1_112074_2023-12-05_final
2023-12-14 11:25:52	ga_ls8c_ard_3-2-1_111073_2023-12-14_final
2023-12-22 10:36:04	ga_ls8c_ard_3-2-1_103072_2023-12-22_final
2024-01-12 10:58:30	ga_ls8c_ard_3-2-1_106082_2024-01-12_final
2024-01-17 11:12:15	ga_ls8c_ard_3-2-1_109070_2024-01-17_final
2024-01-22 09:52:39	ga_ls8c_ard_3-2-1_096072_2024-01-22_final
2024-01-31 11:24:56	ga_ls8c_ard_3-2-1_111071_2024-01-31_final
2024-02-16 11:25:45	ga_ls8c_ard_3-2-1_111073_2024-02-16_final
2024-03-02 09:06:41	ga_ls8c_ard_3-2-1_088081_2024-03-01_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