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 11:11:12	ga_ls9c_ard_3-2-1_109072_2021-10-31_final.stac-item
2021-11-01 10:12:30	ga_ls9c_ard_3-2-1_099072_2021-11-01_final.stac-item
2021-11-02 10:52:28	ga_ls9c_ard_3-2-1_106072_2021-11-02_final.stac-item
2021-11-03 09:55:21	ga_ls9c_ard_3-2-1_096076_2021-11-03_final.stac-item
2021-11-05 11:13:41	ga_ls9c_ard_3-2-1_109072_2021-11-05_final.stac-item
2021-11-07 09:17:52	ga_ls9c_ard_3-2-1_090076_2021-11-06_final.stac-item
2021-11-07 09:21:04	ga_ls9c_ard_3-2-1_090084_2021-11-06_final.stac-item
2021-11-07 09:21:28	ga_ls9c_ard_3-2-1_090085_2021-11-06_final.stac-item
2021-11-07 09:22:39	ga_ls9c_ard_3-2-1_090088_2021-11-06_final.stac-item
2021-11-07 09:23:03	ga_ls9c_ard_3-2-1_090089_2021-11-06_final.stac-item
2021-11-07 10:54:57	ga_ls9c_ard_3-2-1_106072_2021-11-07_final.stac-item
2021-11-07 10:59:20	ga_ls9c_ard_3-2-1_106083_2021-11-07_final.stac-item
2021-11-11 10:18:39	ga_ls9c_ard_3-2-1_100075_2021-11-11_final.stac-item
2021-11-12 09:23:56	ga_ls9c_ard_3-2-1_091085_2021-11-11_final.stac-item
2021-11-12 09:25:07	ga_ls9c_ard_3-2-1_091088_2021-11-11_final.stac-item
2021-11-12 10:57:01	ga_ls9c_ard_3-2-1_106071_2021-11-12_final.stac-item
2021-11-15 09:39:58	ga_ls9c_ard_3-2-1_094072_2021-11-15_final.stac-item
2021-11-15 09:44:21	ga_ls9c_ard_3-2-1_094083_2021-11-15_final.stac-item
2021-11-16 10:24:42	ga_ls9c_ard_3-2-1_100084_2021-11-16_final.stac-item
2021-11-16 12:00:11	ga_ls9c_ard_3-2-1_116076_2021-11-16_final.stac-item
2021-11-18 10:02:22	ga_ls9c_ard_3-2-1_097075_2021-11-18_final.stac-item
2021-11-20 09:42:25	ga_ls9c_ard_3-2-1_094072_2021-11-20_final.stac-item
2021-11-20 11:21:05	ga_ls9c_ard_3-2-1_110072_2021-11-20_final.stac-item
2021-11-22 09:28:51	ga_ls9c_ard_3-2-1_091085_2021-11-21_final.stac-item
2021-11-22 09:30:02	ga_ls9c_ard_3-2-1_091088_2021-11-22_final.stac-item
2021-11-22 09:30:26	ga_ls9c_ard_3-2-1_091089_2021-11-22_final.stac-item
2021-11-22 09:30:50	ga_ls9c_ard_3-2-1_091090_2021-11-22_final.stac-item
2021-11-22 11:02:20	ga_ls9c_ard_3-2-1_107072_2021-11-22_final.stac-item
2021-11-23 10:03:14	ga_ls9c_ard_3-2-1_098071_2021-11-23_final.stac-item
2021-11-23 10:05:13	ga_ls9c_ard_3-2-1_098076_2021-11-23_final.stac-item
2021-11-24 10:43:11	ga_ls9c_ard_3-2-1_104071_2021-11-24_final.stac-item
2021-12-04 09:22:06	ga_ls9c_ard_3-2-1_091072_2021-12-03_final.stac-item
2021-12-04 09:27:17	ga_ls9c_ard_3-2-1_091085_2021-12-03_final.stac-item
2021-12-04 09:28:29	ga_ls9c_ard_3-2-1_091088_2021-12-03_final.stac-item
2021-12-04 09:28:53	ga_ls9c_ard_3-2-1_091089_2021-12-03_final.stac-item
2021-12-04 09:29:17	ga_ls9c_ard_3-2-1_091090_2021-12-03_final.stac-item
2021-12-04 11:00:59	ga_ls9c_ard_3-2-1_107072_2021-12-04_final.stac-item
2021-12-04 11:04:10	ga_ls9c_ard_3-2-1_107080_2021-12-04_final.stac-item
2021-12-04 11:05:22	ga_ls9c_ard_3-2-1_107083_2021-12-04_final.stac-item
2021-12-05 10:04:57	ga_ls9c_ard_3-2-1_098071_2021-12-05_final.stac-item
2021-12-05 10:06:56	ga_ls9c_ard_3-2-1_098076_2021-12-05_final.stac-item
2021-12-05 10:10:32	ga_ls9c_ard_3-2-1_098085_2021-12-05_final.stac-item
2021-12-06 09:11:19	ga_ls9c_ard_3-2-1_089076_2021-12-05_final.stac-item
2021-12-06 09:14:54	ga_ls9c_ard_3-2-1_089085_2021-12-05_final.stac-item
2021-12-06 09:15:18	ga_ls9c_ard_3-2-1_089086_2021-12-05_final.stac-item
2021-12-06 09:16:30	ga_ls9c_ard_3-2-1_089089_2021-12-05_final.stac-item
2021-12-07 09:54:34	ga_ls9c_ard_3-2-1_096076_2021-12-07_final.stac-item
2021-12-09 09:40:35	ga_ls9c_ard_3-2-1_094072_2021-12-09_final.stac-item
2021-12-09 09:44:58	ga_ls9c_ard_3-2-1_094083_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
2021-12-09 11:24:39	ga_ls9c_ard_3-2-1_110085_2021-12-09_final.stac-item
2021-12-11 09:32:59	ga_ls9c_ard_3-2-1_092084_2021-12-11_final.stac-item
2021-12-11 11:07:05	ga_ls9c_ard_3-2-1_108072_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
2021-12-11 11:11:52	ga_ls9c_ard_3-2-1_108084_2021-12-11_final.stac-item
2021-12-12 10:16:14	ga_ls9c_ard_3-2-1_099084_2021-12-12_final.stac-item
2021-12-12 10:16:38	ga_ls9c_ard_3-2-1_099085_2021-12-12_final.stac-item
2021-12-12 11:51:08	ga_ls9c_ard_3-2-1_115074_2021-12-12_final.stac-item
2021-12-13 09:22:12	ga_ls9c_ard_3-2-1_090088_2021-12-12_final.stac-item
2021-12-13 09:23:00	ga_ls9c_ard_3-2-1_090090_2021-12-12_final.stac-item
2021-12-13 10:54:42	ga_ls9c_ard_3-2-1_106072_2021-12-13_final.stac-item
2021-12-13 10:55:30	ga_ls9c_ard_3-2-1_106074_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
2021-12-16 09:51:04	ga_ls9c_ard_3-2-1_095083_2021-12-16_final.stac-item
2021-12-16 11:29:57	ga_ls9c_ard_3-2-1_111083_2021-12-16_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 09:33:55	ga_ls9c_ard_3-2-1_093071_2021-12-18_final.stac-item
2021-12-18 09:34:19	ga_ls9c_ard_3-2-1_093072_2021-12-18_final.stac-item
2021-12-18 11:13:12	ga_ls9c_ard_3-2-1_109072_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
2021-12-18 11:17:35	ga_ls9c_ard_3-2-1_109083_2021-12-18_final.stac-item
2021-12-19 10:18:47	ga_ls9c_ard_3-2-1_100075_2021-12-19_final.stac-item
2021-12-19 11:58:04	ga_ls9c_ard_3-2-1_116076_2021-12-19_final.stac-item
2021-12-20 09:21:58	ga_ls9c_ard_3-2-1_091072_2021-12-19_final.stac-item
2021-12-20 09:27:09	ga_ls9c_ard_3-2-1_091085_2021-12-19_final.stac-item
2021-12-20 09:28:21	ga_ls9c_ard_3-2-1_091088_2021-12-19_final.stac-item
2021-12-20 09:28:45	ga_ls9c_ard_3-2-1_091089_2021-12-19_final.stac-item
2021-12-20 11:00:51	ga_ls9c_ard_3-2-1_107072_2021-12-20_final.stac-item
2021-12-21 10:10:25	ga_ls9c_ard_3-2-1_098085_2021-12-21_final.stac-item
2021-12-22 09:14:48	ga_ls9c_ard_3-2-1_089085_2021-12-21_final.stac-item
2021-12-23 09:54:28	ga_ls9c_ard_3-2-1_096076_2021-12-23_final.stac-item
2021-12-23 09:57:40	ga_ls9c_ard_3-2-1_096084_2021-12-23_final.stac-item
2021-12-25 11:22:35	ga_ls9c_ard_3-2-1_110080_2021-12-25_final.stac-item
2021-12-25 11:24:35	ga_ls9c_ard_3-2-1_110085_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 09:28:09	ga_ls9c_ard_3-2-1_092072_2021-12-26_final.stac-item
2021-12-27 09:32:57	ga_ls9c_ard_3-2-1_092084_2021-12-27_final.stac-item
2021-12-27 11:07:02	ga_ls9c_ard_3-2-1_108072_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 10:16:12	ga_ls9c_ard_3-2-1_099084_2021-12-28_final.stac-item
2021-12-28 10:16:36	ga_ls9c_ard_3-2-1_099085_2021-12-28_final.stac-item
2021-12-28 11:51:06	ga_ls9c_ard_3-2-1_115074_2021-12-28_final.stac-item
2021-12-29 09:17:23	ga_ls9c_ard_3-2-1_090076_2021-12-28_final.stac-item
2021-12-29 09:20:35	ga_ls9c_ard_3-2-1_090084_2021-12-28_final.stac-item
2021-12-29 09:20:59	ga_ls9c_ard_3-2-1_090085_2021-12-28_final.stac-item
2021-12-29 09:21:23	ga_ls9c_ard_3-2-1_090086_2021-12-28_final.stac-item
2021-12-29 09:22:11	ga_ls9c_ard_3-2-1_090088_2021-12-28_final.stac-item
2021-12-29 09:22:59	ga_ls9c_ard_3-2-1_090090_2021-12-28_final.stac-item
2021-12-29 10:55:28	ga_ls9c_ard_3-2-1_106074_2021-12-29_final.stac-item
2021-12-29 10:59:04	ga_ls9c_ard_3-2-1_106083_2021-12-29_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