Search ga_ls9c_ard_3 across 2021

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
2021-10-31 11:10:00	ga_ls9c_ard_3-2-1_109069_2021-10-31_final.stac-item
2021-11-03 09:52:58	ga_ls9c_ard_3-2-1_096070_2021-11-03_final.stac-item
2021-11-03 09:56:09	ga_ls9c_ard_3-2-1_096078_2021-11-03_final.stac-item
2021-11-03 09:56:57	ga_ls9c_ard_3-2-1_096080_2021-11-03_final.stac-item
2021-11-03 11:34:49	ga_ls9c_ard_3-2-1_112078_2021-11-03_final.stac-item
2021-11-03 11:35:13	ga_ls9c_ard_3-2-1_112079_2021-11-03_final.stac-item
2021-11-04 10:36:31	ga_ls9c_ard_3-2-1_103079_2021-11-04_final.stac-item
2021-11-05 09:37:01	ga_ls9c_ard_3-2-1_093077_2021-11-05_final.stac-item
2021-11-05 11:12:30	ga_ls9c_ard_3-2-1_109069_2021-11-05_final.stac-item
2021-11-06 10:16:59	ga_ls9c_ard_3-2-1_100077_2021-11-06_final.stac-item
2021-11-08 09:55:03	ga_ls9c_ard_3-2-1_097069_2021-11-08_final.stac-item
2021-11-08 09:58:14	ga_ls9c_ard_3-2-1_097077_2021-11-08_final.stac-item
2021-11-08 09:58:38	ga_ls9c_ard_3-2-1_097078_2021-11-08_final.stac-item
2021-11-08 09:59:26	ga_ls9c_ard_3-2-1_097080_2021-11-08_final.stac-item
2021-11-08 11:36:54	ga_ls9c_ard_3-2-1_113077_2021-11-08_final.stac-item
2021-11-08 11:37:18	ga_ls9c_ard_3-2-1_113078_2021-11-08_final.stac-item
2021-11-10 09:39:29	ga_ls9c_ard_3-2-1_094077_2021-11-10_final.stac-item
2021-11-10 11:15:22	ga_ls9c_ard_3-2-1_110070_2021-11-10_final.stac-item
2021-11-13 09:57:31	ga_ls9c_ard_3-2-1_097069_2021-11-13_final.stac-item
2021-11-13 10:01:06	ga_ls9c_ard_3-2-1_097078_2021-11-13_final.stac-item
2021-11-14 10:37:05	ga_ls9c_ard_3-2-1_103068_2021-11-14_final.stac-item
2021-11-15 09:41:57	ga_ls9c_ard_3-2-1_094077_2021-11-15_final.stac-item
2021-11-15 11:17:50	ga_ls9c_ard_3-2-1_110070_2021-11-15_final.stac-item
2021-11-17 09:23:40	ga_ls9c_ard_3-2-1_091078_2021-11-16_final.stac-item
2021-11-18 09:59:59	ga_ls9c_ard_3-2-1_097069_2021-11-18_final.stac-item
2021-11-18 11:43:01	ga_ls9c_ard_3-2-1_113080_2021-11-18_final.stac-item
2021-11-19 09:05:39	ga_ls9c_ard_3-2-1_088080_2021-11-18_final.stac-item
2021-11-19 10:39:32	ga_ls9c_ard_3-2-1_104068_2021-11-19_final.stac-item
2021-11-20 09:44:25	ga_ls9c_ard_3-2-1_094077_2021-11-20_final.stac-item
2021-11-20 11:19:54	ga_ls9c_ard_3-2-1_110069_2021-11-20_final.stac-item
2021-11-22 11:04:19	ga_ls9c_ard_3-2-1_107077_2021-11-22_final.stac-item
2021-11-23 10:05:37	ga_ls9c_ard_3-2-1_098077_2021-11-23_final.stac-item
2021-11-24 10:42:47	ga_ls9c_ard_3-2-1_104070_2021-11-24_final.stac-item
2021-11-25 09:46:52	ga_ls9c_ard_3-2-1_095077_2021-11-25_final.stac-item
2021-12-04 09:24:53	ga_ls9c_ard_3-2-1_091079_2021-12-03_final.stac-item
2021-12-04 11:04:10	ga_ls9c_ard_3-2-1_107080_2021-12-04_final.stac-item
2021-12-06 10:47:24	ga_ls9c_ard_3-2-1_105069_2021-12-06_final.stac-item
2021-12-07 09:52:10	ga_ls9c_ard_3-2-1_096070_2021-12-07_final.stac-item
2021-12-07 09:55:21	ga_ls9c_ard_3-2-1_096078_2021-12-07_final.stac-item
2021-12-07 09:56:09	ga_ls9c_ard_3-2-1_096080_2021-12-07_final.stac-item
2021-12-07 11:33:51	ga_ls9c_ard_3-2-1_112077_2021-12-07_final.stac-item
2021-12-07 11:34:14	ga_ls9c_ard_3-2-1_112078_2021-12-07_final.stac-item
2021-12-07 11:34:38	ga_ls9c_ard_3-2-1_112079_2021-12-07_final.stac-item
2021-12-09 09:42:35	ga_ls9c_ard_3-2-1_094077_2021-12-09_final.stac-item
2021-12-09 11:18:16	ga_ls9c_ard_3-2-1_110069_2021-12-09_final.stac-item
2021-12-09 11:18:40	ga_ls9c_ard_3-2-1_110070_2021-12-09_final.stac-item
2021-12-09 11:22:39	ga_ls9c_ard_3-2-1_110080_2021-12-09_final.stac-item
2021-12-10 10:26:37	ga_ls9c_ard_3-2-1_101079_2021-12-10_final.stac-item
2021-12-11 09:30:36	ga_ls9c_ard_3-2-1_092078_2021-12-11_final.stac-item
2021-12-11 11:05:53	ga_ls9c_ard_3-2-1_108069_2021-12-11_final.stac-item
2021-12-11 11:09:05	ga_ls9c_ard_3-2-1_108077_2021-12-11_final.stac-item
2021-12-11 11:09:28	ga_ls9c_ard_3-2-1_108078_2021-12-11_final.stac-item
2021-12-11 11:10:16	ga_ls9c_ard_3-2-1_108080_2021-12-11_final.stac-item
2021-12-12 11:53:07	ga_ls9c_ard_3-2-1_115079_2021-12-12_final.stac-item
2021-12-13 10:53:30	ga_ls9c_ard_3-2-1_106069_2021-12-13_final.stac-item
2021-12-13 10:56:41	ga_ls9c_ard_3-2-1_106077_2021-12-13_final.stac-item
2021-12-13 10:57:53	ga_ls9c_ard_3-2-1_106080_2021-12-13_final.stac-item
2021-12-14 09:57:52	ga_ls9c_ard_3-2-1_097069_2021-12-14_final.stac-item
2021-12-14 10:01:03	ga_ls9c_ard_3-2-1_097077_2021-12-14_final.stac-item
2021-12-14 10:01:27	ga_ls9c_ard_3-2-1_097078_2021-12-14_final.stac-item
2021-12-14 10:02:15	ga_ls9c_ard_3-2-1_097080_2021-12-14_final.stac-item
2021-12-15 10:40:43	ga_ls9c_ard_3-2-1_104068_2021-12-15_final.stac-item
2021-12-15 10:44:42	ga_ls9c_ard_3-2-1_104078_2021-12-15_final.stac-item
2021-12-16 09:48:40	ga_ls9c_ard_3-2-1_095077_2021-12-16_final.stac-item
2021-12-16 09:49:04	ga_ls9c_ard_3-2-1_095078_2021-12-16_final.stac-item
2021-12-16 09:49:52	ga_ls9c_ard_3-2-1_095080_2021-12-16_final.stac-item
2021-12-16 11:24:46	ga_ls9c_ard_3-2-1_111070_2021-12-16_final.stac-item
2021-12-17 10:28:44	ga_ls9c_ard_3-2-1_102069_2021-12-17_final.stac-item
2021-12-17 10:29:08	ga_ls9c_ard_3-2-1_102070_2021-12-17_final.stac-item
2021-12-17 10:31:56	ga_ls9c_ard_3-2-1_102077_2021-12-17_final.stac-item
2021-12-17 10:32:44	ga_ls9c_ard_3-2-1_102079_2021-12-17_final.stac-item
2021-12-17 10:33:07	ga_ls9c_ard_3-2-1_102080_2021-12-17_final.stac-item
2021-12-18 09:36:19	ga_ls9c_ard_3-2-1_093077_2021-12-18_final.stac-item
2021-12-18 09:37:06	ga_ls9c_ard_3-2-1_093079_2021-12-18_final.stac-item
2021-12-18 11:12:00	ga_ls9c_ard_3-2-1_109069_2021-12-18_final.stac-item
2021-12-18 11:16:23	ga_ls9c_ard_3-2-1_109080_2021-12-18_final.stac-item
2021-12-19 10:19:35	ga_ls9c_ard_3-2-1_100077_2021-12-19_final.stac-item
2021-12-21 10:04:02	ga_ls9c_ard_3-2-1_098069_2021-12-21_final.stac-item
2021-12-22 10:47:18	ga_ls9c_ard_3-2-1_105069_2021-12-22_final.stac-item
2021-12-23 09:52:04	ga_ls9c_ard_3-2-1_096070_2021-12-23_final.stac-item
2021-12-23 09:55:16	ga_ls9c_ard_3-2-1_096078_2021-12-23_final.stac-item
2021-12-23 11:33:45	ga_ls9c_ard_3-2-1_112077_2021-12-23_final.stac-item
2021-12-23 11:34:09	ga_ls9c_ard_3-2-1_112078_2021-12-23_final.stac-item
2021-12-24 10:34:56	ga_ls9c_ard_3-2-1_103069_2021-12-24_final.stac-item
2021-12-24 10:35:20	ga_ls9c_ard_3-2-1_103070_2021-12-24_final.stac-item
2021-12-25 09:42:30	ga_ls9c_ard_3-2-1_094077_2021-12-25_final.stac-item
2021-12-25 11:18:12	ga_ls9c_ard_3-2-1_110069_2021-12-25_final.stac-item
2021-12-25 11:22:35	ga_ls9c_ard_3-2-1_110080_2021-12-25_final.stac-item
2021-12-26 10:26:58	ga_ls9c_ard_3-2-1_101080_2021-12-26_final.stac-item
2021-12-27 09:30:33	ga_ls9c_ard_3-2-1_092078_2021-12-27_final.stac-item
2021-12-27 09:30:57	ga_ls9c_ard_3-2-1_092079_2021-12-27_final.stac-item
2021-12-27 11:05:50	ga_ls9c_ard_3-2-1_108069_2021-12-27_final.stac-item
2021-12-27 11:09:02	ga_ls9c_ard_3-2-1_108077_2021-12-27_final.stac-item
2021-12-27 11:10:14	ga_ls9c_ard_3-2-1_108080_2021-12-27_final.stac-item
2021-12-28 11:53:05	ga_ls9c_ard_3-2-1_115079_2021-12-28_final.stac-item
2021-12-30 09:57:51	ga_ls9c_ard_3-2-1_097069_2021-12-30_final.stac-item
2021-12-30 10:01:27	ga_ls9c_ard_3-2-1_097078_2021-12-30_final.stac-item
2021-12-30 10:02:15	ga_ls9c_ard_3-2-1_097080_2021-12-30_final.stac-item
2021-12-31 10:40:43	ga_ls9c_ard_3-2-1_104068_2021-12-31_final.stac-item
2021-12-31 10:41:31	ga_ls9c_ard_3-2-1_104070_2021-12-31_final.stac-item

Return to ga_ls9c_ard_3 across 2021 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

2021

All months