Search ga_ls9c_ard_3 across February 2023

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
2023-02-01 10:11:59	ga_ls9c_ard_3-2-1_099073_2023-02-01_final.stac-item
2023-02-01 10:12:23	ga_ls9c_ard_3-2-1_099074_2023-02-01_final.stac-item
2023-02-01 11:52:28	ga_ls9c_ard_3-2-1_115077_2023-02-01_final.stac-item
2023-02-02 09:16:47	ga_ls9c_ard_3-2-1_090074_2023-02-01_final.stac-item
2023-02-02 09:18:46	ga_ls9c_ard_3-2-1_090079_2023-02-01_final.stac-item
2023-02-02 09:21:58	ga_ls9c_ard_3-2-1_090087_2023-02-01_final.stac-item
2023-02-02 09:23:34	ga_ls9c_ard_3-2-1_090091_2023-02-01_interim.stac-item
2023-02-02 10:56:51	ga_ls9c_ard_3-2-1_106077_2023-02-02_final.stac-item
2023-02-03 10:00:03	ga_ls9c_ard_3-2-1_097074_2023-02-03_final.stac-item
2023-02-03 11:38:32	ga_ls9c_ard_3-2-1_113073_2023-02-03_final.stac-item
2023-02-03 11:38:56	ga_ls9c_ard_3-2-1_113074_2023-02-03_final.stac-item
2023-02-04 10:42:55	ga_ls9c_ard_3-2-1_104073_2023-02-04_final.stac-item
2023-02-04 10:43:19	ga_ls9c_ard_3-2-1_104074_2023-02-04_final.stac-item
2023-02-04 10:44:31	ga_ls9c_ard_3-2-1_104077_2023-02-04_final.stac-item
2023-02-05 09:47:42	ga_ls9c_ard_3-2-1_095074_2023-02-05_final.stac-item
2023-02-05 09:52:53	ga_ls9c_ard_3-2-1_095087_2023-02-05_final.stac-item
2023-02-05 11:26:11	ga_ls9c_ard_3-2-1_111073_2023-02-05_final.stac-item
2023-02-06 10:30:34	ga_ls9c_ard_3-2-1_102073_2023-02-06_final.stac-item
2023-02-06 10:32:10	ga_ls9c_ard_3-2-1_102077_2023-02-06_final.stac-item
2023-02-07 09:35:21	ga_ls9c_ard_3-2-1_093074_2023-02-07_final.stac-item
2023-02-07 09:39:44	ga_ls9c_ard_3-2-1_093085_2023-02-07_final.stac-item
2023-02-07 09:40:08	ga_ls9c_ard_3-2-1_093086_2023-02-07_final.stac-item
2023-02-07 11:14:14	ga_ls9c_ard_3-2-1_109074_2023-02-07_final.stac-item
2023-02-08 10:18:13	ga_ls9c_ard_3-2-1_100073_2023-02-08_final.stac-item
2023-02-08 10:18:37	ga_ls9c_ard_3-2-1_100074_2023-02-08_final.stac-item
2023-02-08 11:58:42	ga_ls9c_ard_3-2-1_116077_2023-02-08_final.stac-item
2023-02-09 09:23:00	ga_ls9c_ard_3-2-1_091074_2023-02-08_final.stac-item
2023-02-09 09:24:59	ga_ls9c_ard_3-2-1_091079_2023-02-08_final.stac-item
2023-02-09 09:28:11	ga_ls9c_ard_3-2-1_091087_2023-02-08_final.stac-item
2023-02-09 09:29:23	ga_ls9c_ard_3-2-1_091090_2023-02-08_final.stac-item
2023-02-09 11:01:29	ga_ls9c_ard_3-2-1_107073_2023-02-09_final.stac-item
2023-02-09 11:01:53	ga_ls9c_ard_3-2-1_107074_2023-02-09_final.stac-item
2023-02-10 10:06:15	ga_ls9c_ard_3-2-1_098074_2023-02-10_final.stac-item
2023-02-10 11:45:08	ga_ls9c_ard_3-2-1_114074_2023-02-10_final.stac-item
2023-02-10 11:46:20	ga_ls9c_ard_3-2-1_114077_2023-02-10_final.stac-item
2023-02-11 09:10:37	ga_ls9c_ard_3-2-1_089074_2023-02-10_final.stac-item
2023-02-11 09:12:37	ga_ls9c_ard_3-2-1_089079_2023-02-10_final.stac-item
2023-02-11 10:51:06	ga_ls9c_ard_3-2-1_105078_2023-02-11_final.stac-item
2023-02-12 08:24:35	ga_ls9c_ard_3-2-1_080098_2023-02-11_final.stac-item
2023-02-12 09:53:53	ga_ls9c_ard_3-2-1_096074_2023-02-12_final.stac-item
2023-02-12 11:32:22	ga_ls9c_ard_3-2-1_112073_2023-02-12_final.stac-item
2023-02-12 11:32:46	ga_ls9c_ard_3-2-1_112074_2023-02-12_final.stac-item
2023-02-14 09:41:30	ga_ls9c_ard_3-2-1_094074_2023-02-14_final.stac-item
2023-02-14 09:42:42	ga_ls9c_ard_3-2-1_094077_2023-02-14_final.stac-item
2023-02-14 09:45:53	ga_ls9c_ard_3-2-1_094085_2023-02-14_final.stac-item
2023-02-14 09:46:17	ga_ls9c_ard_3-2-1_094086_2023-02-14_final.stac-item
2023-02-14 11:20:23	ga_ls9c_ard_3-2-1_110074_2023-02-14_final.stac-item
2023-02-15 10:24:21	ga_ls9c_ard_3-2-1_101073_2023-02-15_final.stac-item
2023-02-15 10:26:44	ga_ls9c_ard_3-2-1_101079_2023-02-15_final.stac-item
2023-02-16 09:28:43	ga_ls9c_ard_3-2-1_092073_2023-02-15_final.stac-item
2023-02-16 09:29:06	ga_ls9c_ard_3-2-1_092074_2023-02-15_final.stac-item
2023-02-16 09:30:18	ga_ls9c_ard_3-2-1_092077_2023-02-16_final.stac-item
2023-02-16 09:34:18	ga_ls9c_ard_3-2-1_092087_2023-02-16_final.stac-item
2023-02-16 09:35:06	ga_ls9c_ard_3-2-1_092089_2023-02-16_final.stac-item
2023-02-16 11:07:35	ga_ls9c_ard_3-2-1_108073_2023-02-16_final.stac-item
2023-02-16 11:07:59	ga_ls9c_ard_3-2-1_108074_2023-02-16_final.stac-item
2023-02-17 10:11:57	ga_ls9c_ard_3-2-1_099073_2023-02-17_final.stac-item
2023-02-17 10:12:21	ga_ls9c_ard_3-2-1_099074_2023-02-17_final.stac-item
2023-02-17 11:52:26	ga_ls9c_ard_3-2-1_115077_2023-02-17_final.stac-item
2023-02-18 09:16:42	ga_ls9c_ard_3-2-1_090074_2023-02-17_final.stac-item
2023-02-18 09:18:42	ga_ls9c_ard_3-2-1_090079_2023-02-17_final.stac-item
2023-02-18 09:21:54	ga_ls9c_ard_3-2-1_090087_2023-02-17_final.stac-item
2023-02-18 09:23:30	ga_ls9c_ard_3-2-1_090091_2023-02-17_interim.stac-item
2023-02-18 10:56:47	ga_ls9c_ard_3-2-1_106077_2023-02-18_final.stac-item
2023-02-19 09:59:57	ga_ls9c_ard_3-2-1_097074_2023-02-19_final.stac-item
2023-02-19 10:04:20	ga_ls9c_ard_3-2-1_097085_2023-02-19_final.stac-item
2023-02-19 11:38:26	ga_ls9c_ard_3-2-1_113073_2023-02-19_final.stac-item
2023-02-19 11:38:50	ga_ls9c_ard_3-2-1_113074_2023-02-19_final.stac-item
2023-02-20 10:42:47	ga_ls9c_ard_3-2-1_104073_2023-02-20_final.stac-item
2023-02-20 10:43:11	ga_ls9c_ard_3-2-1_104074_2023-02-20_final.stac-item
2023-02-20 10:44:23	ga_ls9c_ard_3-2-1_104077_2023-02-20_final.stac-item
2023-02-21 09:47:32	ga_ls9c_ard_3-2-1_095074_2023-02-21_final.stac-item
2023-02-21 09:48:44	ga_ls9c_ard_3-2-1_095077_2023-02-21_final.stac-item
2023-02-21 09:52:44	ga_ls9c_ard_3-2-1_095087_2023-02-21_final.stac-item
2023-02-22 10:30:22	ga_ls9c_ard_3-2-1_102073_2023-02-22_final.stac-item
2023-02-22 10:31:58	ga_ls9c_ard_3-2-1_102077_2023-02-22_final.stac-item
2023-02-23 09:34:44	ga_ls9c_ard_3-2-1_093073_2023-02-23_final.stac-item
2023-02-23 09:35:07	ga_ls9c_ard_3-2-1_093074_2023-02-23_final.stac-item
2023-02-23 09:39:31	ga_ls9c_ard_3-2-1_093085_2023-02-23_final.stac-item
2023-02-23 11:14:00	ga_ls9c_ard_3-2-1_109074_2023-02-23_final.stac-item
2023-02-23 11:15:12	ga_ls9c_ard_3-2-1_109077_2023-02-23_final.stac-item
2023-02-24 10:17:58	ga_ls9c_ard_3-2-1_100073_2023-02-24_final.stac-item
2023-02-24 11:58:27	ga_ls9c_ard_3-2-1_116077_2023-02-24_final.stac-item
2023-02-25 09:22:21	ga_ls9c_ard_3-2-1_091073_2023-02-24_final.stac-item
2023-02-25 09:22:45	ga_ls9c_ard_3-2-1_091074_2023-02-24_final.stac-item
2023-02-25 09:23:57	ga_ls9c_ard_3-2-1_091077_2023-02-24_final.stac-item
2023-02-25 09:24:44	ga_ls9c_ard_3-2-1_091079_2023-02-24_final.stac-item
2023-02-25 09:27:56	ga_ls9c_ard_3-2-1_091087_2023-02-24_final.stac-item
2023-02-25 09:28:20	ga_ls9c_ard_3-2-1_091088_2023-02-24_final.stac-item
2023-02-25 09:28:44	ga_ls9c_ard_3-2-1_091089_2023-02-24_final.stac-item
2023-02-25 11:01:14	ga_ls9c_ard_3-2-1_107073_2023-02-25_final.stac-item
2023-02-25 11:01:38	ga_ls9c_ard_3-2-1_107074_2023-02-25_final.stac-item
2023-02-25 11:02:50	ga_ls9c_ard_3-2-1_107077_2023-02-25_final.stac-item
2023-02-26 10:06:01	ga_ls9c_ard_3-2-1_098074_2023-02-26_final.stac-item
2023-02-26 11:44:54	ga_ls9c_ard_3-2-1_114074_2023-02-26_final.stac-item
2023-02-26 11:46:05	ga_ls9c_ard_3-2-1_114077_2023-02-26_final.stac-item
2023-02-27 09:10:23	ga_ls9c_ard_3-2-1_089074_2023-02-26_final.stac-item
2023-02-27 09:12:23	ga_ls9c_ard_3-2-1_089079_2023-02-26_final.stac-item
2023-02-27 10:49:16	ga_ls9c_ard_3-2-1_105074_2023-02-27_final.stac-item
2023-02-27 10:50:28	ga_ls9c_ard_3-2-1_105077_2023-02-27_final.stac-item

Return to ga_ls9c_ard_3 across February 2023 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

2023

February

All days