Search ga_ls9c_ard_3 across 2024

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
2024-01-02 11:10:13	ga_ls9c_ard_3-2-1_108080_2024-01-02_final.stac-item
2024-01-04 09:18:33	ga_ls9c_ard_3-2-1_090079_2024-01-03_final.stac-item
2024-01-04 10:57:50	ga_ls9c_ard_3-2-1_106080_2024-01-04_final.stac-item
2024-01-05 11:41:04	ga_ls9c_ard_3-2-1_113080_2024-01-05_final.stac-item
2024-01-06 10:45:26	ga_ls9c_ard_3-2-1_104080_2024-01-06_final.stac-item
2024-01-07 11:28:43	ga_ls9c_ard_3-2-1_111080_2024-01-07_final.stac-item
2024-01-08 10:33:06	ga_ls9c_ard_3-2-1_102080_2024-01-08_final.stac-item
2024-01-11 11:04:02	ga_ls9c_ard_3-2-1_107080_2024-01-11_final.stac-item
2024-01-13 09:12:24	ga_ls9c_ard_3-2-1_089079_2024-01-12_final.stac-item
2024-01-13 10:51:41	ga_ls9c_ard_3-2-1_105080_2024-01-13_final.stac-item
2024-01-14 11:34:57	ga_ls9c_ard_3-2-1_112080_2024-01-14_final.stac-item
2024-01-18 11:10:13	ga_ls9c_ard_3-2-1_108080_2024-01-18_final.stac-item
2024-01-20 09:18:33	ga_ls9c_ard_3-2-1_090079_2024-01-19_final.stac-item
2024-01-20 10:57:50	ga_ls9c_ard_3-2-1_106080_2024-01-20_final.stac-item
2024-01-21 11:41:05	ga_ls9c_ard_3-2-1_113080_2024-01-21_final.stac-item
2024-01-23 11:28:42	ga_ls9c_ard_3-2-1_111080_2024-01-23_final.stac-item
2024-01-27 11:04:00	ga_ls9c_ard_3-2-1_107080_2024-01-27_final.stac-item
2024-01-29 09:12:23	ga_ls9c_ard_3-2-1_089079_2024-01-28_final.stac-item
2024-01-29 10:51:40	ga_ls9c_ard_3-2-1_105080_2024-01-29_final.stac-item
2024-01-30 11:34:56	ga_ls9c_ard_3-2-1_112080_2024-01-30_final.stac-item
2024-02-01 11:22:36	ga_ls9c_ard_3-2-1_110080_2024-02-01_final.stac-item
2024-02-03 11:10:15	ga_ls9c_ard_3-2-1_108080_2024-02-03_final.stac-item
2024-02-05 09:18:36	ga_ls9c_ard_3-2-1_090079_2024-02-04_final.stac-item
2024-02-05 10:57:53	ga_ls9c_ard_3-2-1_106080_2024-02-05_final.stac-item
2024-02-06 11:41:09	ga_ls9c_ard_3-2-1_113080_2024-02-06_final.stac-item
2024-02-07 10:45:32	ga_ls9c_ard_3-2-1_104080_2024-02-07_final.stac-item
2024-02-08 11:28:47	ga_ls9c_ard_3-2-1_111080_2024-02-08_final.stac-item
2024-02-09 10:33:10	ga_ls9c_ard_3-2-1_102080_2024-02-09_final.stac-item
2024-02-10 11:16:25	ga_ls9c_ard_3-2-1_109080_2024-02-10_final.stac-item
2024-02-12 11:04:03	ga_ls9c_ard_3-2-1_107080_2024-02-12_final.stac-item
2024-02-14 09:12:23	ga_ls9c_ard_3-2-1_089079_2024-02-13_final.stac-item
2024-02-14 10:51:40	ga_ls9c_ard_3-2-1_105080_2024-02-14_final.stac-item
2024-02-15 11:34:54	ga_ls9c_ard_3-2-1_112080_2024-02-15_final.stac-item
2024-02-17 11:22:07	ga_ls9c_ard_3-2-1_110079_2024-02-17_final.stac-item
2024-02-19 11:10:06	ga_ls9c_ard_3-2-1_108080_2024-02-19_final.stac-item
2024-02-21 09:18:25	ga_ls9c_ard_3-2-1_090079_2024-02-20_final.stac-item
2024-02-21 10:57:42	ga_ls9c_ard_3-2-1_106080_2024-02-21_final.stac-item
2024-02-22 11:40:56	ga_ls9c_ard_3-2-1_113080_2024-02-22_final.stac-item
2024-02-23 10:45:17	ga_ls9c_ard_3-2-1_104080_2024-02-23_final.stac-item
2024-02-24 11:28:10	ga_ls9c_ard_3-2-1_111079_2024-02-24_final.stac-item
2024-02-24 11:28:34	ga_ls9c_ard_3-2-1_111080_2024-02-24_final.stac-item
2024-02-25 10:32:57	ga_ls9c_ard_3-2-1_102080_2024-02-25_final.stac-item
2024-02-28 11:03:54	ga_ls9c_ard_3-2-1_107080_2024-02-28_final.stac-item
2024-03-01 09:12:16	ga_ls9c_ard_3-2-1_089079_2024-02-29_final.stac-item
2024-03-01 10:51:33	ga_ls9c_ard_3-2-1_105080_2024-03-01_final.stac-item
2024-03-02 11:34:26	ga_ls9c_ard_3-2-1_112079_2024-03-02_final.stac-item
2024-03-02 11:34:50	ga_ls9c_ard_3-2-1_112080_2024-03-02_final.stac-item
2024-03-04 11:22:29	ga_ls9c_ard_3-2-1_110080_2024-03-04_final.stac-item
2024-03-06 11:10:07	ga_ls9c_ard_3-2-1_108080_2024-03-06_final.stac-item
2024-03-08 09:18:29	ga_ls9c_ard_3-2-1_090079_2024-03-07_final.stac-item
2024-03-08 10:57:46	ga_ls9c_ard_3-2-1_106080_2024-03-08_final.stac-item
2024-03-09 11:40:37	ga_ls9c_ard_3-2-1_113079_2024-03-09_final.stac-item
2024-03-09 11:41:01	ga_ls9c_ard_3-2-1_113080_2024-03-09_final.stac-item
2024-03-10 10:45:24	ga_ls9c_ard_3-2-1_104080_2024-03-10_final.stac-item
2024-03-11 11:28:15	ga_ls9c_ard_3-2-1_111079_2024-03-11_final.stac-item
2024-03-11 11:28:39	ga_ls9c_ard_3-2-1_111080_2024-03-11_final.stac-item
2024-03-12 10:33:02	ga_ls9c_ard_3-2-1_102080_2024-03-12_final.stac-item
2024-03-13 11:16:17	ga_ls9c_ard_3-2-1_109080_2024-03-13_final.stac-item
2024-03-15 11:03:55	ga_ls9c_ard_3-2-1_107080_2024-03-15_final.stac-item
2024-03-17 09:12:16	ga_ls9c_ard_3-2-1_089079_2024-03-16_final.stac-item
2024-03-17 10:51:33	ga_ls9c_ard_3-2-1_105080_2024-03-17_final.stac-item
2024-03-18 11:34:49	ga_ls9c_ard_3-2-1_112080_2024-03-18_final.stac-item
2024-03-19 10:39:11	ga_ls9c_ard_3-2-1_103080_2024-03-19_final.stac-item
2024-03-20 11:22:27	ga_ls9c_ard_3-2-1_110080_2024-03-20_final.stac-item
2024-03-22 11:10:04	ga_ls9c_ard_3-2-1_108080_2024-03-22_final.stac-item
2024-03-24 09:18:24	ga_ls9c_ard_3-2-1_090079_2024-03-23_final.stac-item
2024-03-24 10:57:41	ga_ls9c_ard_3-2-1_106080_2024-03-24_final.stac-item
2024-03-25 11:40:56	ga_ls9c_ard_3-2-1_113080_2024-03-25_final.stac-item
2024-03-26 10:45:17	ga_ls9c_ard_3-2-1_104080_2024-03-26_final.stac-item
2024-03-27 11:28:32	ga_ls9c_ard_3-2-1_111080_2024-03-27_final.stac-item
2024-03-28 10:32:53	ga_ls9c_ard_3-2-1_102080_2024-03-28_final.stac-item
2024-03-29 11:16:08	ga_ls9c_ard_3-2-1_109080_2024-03-29_final.stac-item
2024-03-31 11:03:46	ga_ls9c_ard_3-2-1_107080_2024-03-31_final.stac-item
2024-04-02 09:12:07	ga_ls9c_ard_3-2-1_089079_2024-04-01_final.stac-item
2024-04-02 10:51:24	ga_ls9c_ard_3-2-1_105080_2024-04-02_final.stac-item
2024-04-03 11:34:40	ga_ls9c_ard_3-2-1_112080_2024-04-03_final.stac-item
2024-04-05 11:22:18	ga_ls9c_ard_3-2-1_110080_2024-04-05_final.stac-item
2024-04-07 11:09:55	ga_ls9c_ard_3-2-1_108080_2024-04-07_final.stac-item
2024-04-09 09:18:16	ga_ls9c_ard_3-2-1_090079_2024-04-08_final.stac-item
2024-04-09 10:57:33	ga_ls9c_ard_3-2-1_106080_2024-04-09_final.stac-item
2024-04-10 11:40:48	ga_ls9c_ard_3-2-1_113080_2024-04-10_final.stac-item
2024-04-12 11:28:25	ga_ls9c_ard_3-2-1_111080_2024-04-12_final.stac-item
2024-04-14 11:16:01	ga_ls9c_ard_3-2-1_109080_2024-04-14_final.stac-item
2024-04-16 11:03:38	ga_ls9c_ard_3-2-1_107080_2024-04-16_final.stac-item
2024-04-18 09:11:56	ga_ls9c_ard_3-2-1_089079_2024-04-17_final.stac-item
2024-04-18 10:51:13	ga_ls9c_ard_3-2-1_105080_2024-04-18_final.stac-item
2024-04-19 11:34:27	ga_ls9c_ard_3-2-1_112080_2024-04-19_final.stac-item
2024-04-23 11:09:35	ga_ls9c_ard_3-2-1_108080_2024-04-23_final.stac-item
2024-04-25 09:17:55	ga_ls9c_ard_3-2-1_090079_2024-04-24_final.stac-item
2024-04-25 10:57:12	ga_ls9c_ard_3-2-1_106080_2024-04-25_final.stac-item
2024-04-26 11:40:28	ga_ls9c_ard_3-2-1_113080_2024-04-26_final.stac-item
2024-04-28 11:28:06	ga_ls9c_ard_3-2-1_111080_2024-04-28_final.stac-item
2024-04-29 10:32:29	ga_ls9c_ard_3-2-1_102080_2024-04-29_final.stac-item
2024-05-02 11:03:21	ga_ls9c_ard_3-2-1_107080_2024-05-02_nrt.stac-item
2024-05-04 09:11:43	ga_ls9c_ard_3-2-1_089079_2024-05-03_interim.stac-item
2024-05-04 10:51:00	ga_ls9c_ard_3-2-1_105080_2024-05-04_interim.stac-item
2024-05-05 11:34:16	ga_ls9c_ard_3-2-1_112080_2024-05-05_nrt.stac-item
2024-05-09 11:09:33	ga_ls9c_ard_3-2-1_108080_2024-05-09_nrt.stac-item
2024-05-11 09:17:54	ga_ls9c_ard_3-2-1_090079_2024-05-10_nrt.stac-item
2024-05-11 10:57:10	ga_ls9c_ard_3-2-1_106080_2024-05-11_nrt.stac-item

Return to ga_ls9c_ard_3 across 2024 overview

ga_ls9c_ard_3: Geoscience Australia Landsat 9 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

2024

All months