Search ga_ls9c_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
2023-03-12 10:17:27	ga_ls9c_ard_3-2-1_100072_2023-03-12_final.stac-item
2023-03-12 10:18:39	ga_ls9c_ard_3-2-1_100075_2023-03-12_final.stac-item
2023-03-13 11:01:31	ga_ls9c_ard_3-2-1_107074_2023-03-13_final.stac-item
2023-03-13 11:03:07	ga_ls9c_ard_3-2-1_107078_2023-03-13_final.stac-item
2023-03-13 11:03:54	ga_ls9c_ard_3-2-1_107080_2023-03-13_final.stac-item
2023-03-14 11:46:22	ga_ls9c_ard_3-2-1_114078_2023-03-14_final.stac-item
2023-03-15 09:10:16	ga_ls9c_ard_3-2-1_089074_2023-03-14_final.stac-item
2023-03-15 09:11:04	ga_ls9c_ard_3-2-1_089076_2023-03-14_final.stac-item
2023-03-15 09:16:16	ga_ls9c_ard_3-2-1_089089_2023-03-14_final.stac-item
2023-03-15 10:47:34	ga_ls9c_ard_3-2-1_105070_2023-03-15_final.stac-item
2023-03-16 09:55:32	ga_ls9c_ard_3-2-1_096079_2023-03-16_final.stac-item
2023-03-16 11:35:13	ga_ls9c_ard_3-2-1_112081_2023-03-16_final.stac-item
2023-03-17 10:34:48	ga_ls9c_ard_3-2-1_103069_2023-03-17_final.stac-item
2023-03-18 09:41:58	ga_ls9c_ard_3-2-1_094076_2023-03-18_final.stac-item
2023-03-18 09:42:21	ga_ls9c_ard_3-2-1_094077_2023-03-18_final.stac-item
2023-03-18 09:42:45	ga_ls9c_ard_3-2-1_094078_2023-03-18_final.stac-item
2023-03-18 09:43:33	ga_ls9c_ard_3-2-1_094080_2023-03-18_final.stac-item
2023-03-18 09:45:33	ga_ls9c_ard_3-2-1_094085_2023-03-18_final.stac-item
2023-03-18 09:46:21	ga_ls9c_ard_3-2-1_094087_2023-03-18_final.stac-item
2023-03-18 11:18:03	ga_ls9c_ard_3-2-1_110069_2023-03-18_final.stac-item
2023-03-18 11:19:39	ga_ls9c_ard_3-2-1_110073_2023-03-18_final.stac-item
2023-03-18 11:22:50	ga_ls9c_ard_3-2-1_110081_2023-03-18_final.stac-item
2023-03-18 11:23:38	ga_ls9c_ard_3-2-1_110083_2023-03-18_final.stac-item
2023-03-18 11:24:02	ga_ls9c_ard_3-2-1_110084_2023-03-18_final.stac-item
2023-03-19 10:22:49	ga_ls9c_ard_3-2-1_101070_2023-03-19_final.stac-item
2023-03-19 10:26:01	ga_ls9c_ard_3-2-1_101078_2023-03-19_final.stac-item
2023-03-19 10:27:12	ga_ls9c_ard_3-2-1_101081_2023-03-19_final.stac-item
2023-03-19 10:27:36	ga_ls9c_ard_3-2-1_101082_2023-03-19_final.stac-item
2023-03-19 10:28:00	ga_ls9c_ard_3-2-1_101083_2023-03-19_final.stac-item
2023-03-20 09:27:35	ga_ls9c_ard_3-2-1_092071_2023-03-19_final.stac-item
2023-03-20 09:27:59	ga_ls9c_ard_3-2-1_092072_2023-03-19_final.stac-item
2023-03-20 09:28:23	ga_ls9c_ard_3-2-1_092073_2023-03-19_final.stac-item
2023-03-20 09:29:11	ga_ls9c_ard_3-2-1_092075_2023-03-19_final.stac-item
2023-03-20 09:29:59	ga_ls9c_ard_3-2-1_092077_2023-03-19_final.stac-item
2023-03-20 09:31:11	ga_ls9c_ard_3-2-1_092080_2023-03-20_final.stac-item
2023-03-20 09:31:35	ga_ls9c_ard_3-2-1_092081_2023-03-20_final.stac-item
2023-03-20 09:32:23	ga_ls9c_ard_3-2-1_092083_2023-03-20_final.stac-item
2023-03-20 09:33:10	ga_ls9c_ard_3-2-1_092085_2023-03-20_final.stac-item
2023-03-20 09:33:34	ga_ls9c_ard_3-2-1_092086_2023-03-20_final.stac-item
2023-03-20 09:33:58	ga_ls9c_ard_3-2-1_092087_2023-03-20_final.stac-item
2023-03-20 09:34:22	ga_ls9c_ard_3-2-1_092088_2023-03-20_final.stac-item
2023-03-20 11:05:40	ga_ls9c_ard_3-2-1_108069_2023-03-20_final.stac-item
2023-03-20 11:06:04	ga_ls9c_ard_3-2-1_108070_2023-03-20_final.stac-item
2023-03-20 11:06:28	ga_ls9c_ard_3-2-1_108071_2023-03-20_final.stac-item
2023-03-20 11:07:16	ga_ls9c_ard_3-2-1_108073_2023-03-20_final.stac-item
2023-03-20 11:08:52	ga_ls9c_ard_3-2-1_108077_2023-03-20_final.stac-item
2023-03-20 11:10:04	ga_ls9c_ard_3-2-1_108080_2023-03-20_final.stac-item
2023-03-20 11:10:28	ga_ls9c_ard_3-2-1_108081_2023-03-20_final.stac-item
2023-03-20 11:10:52	ga_ls9c_ard_3-2-1_108082_2023-03-20_final.stac-item
2023-03-21 10:09:15	ga_ls9c_ard_3-2-1_099067_2023-03-21_final.stac-item
2023-03-21 10:10:26	ga_ls9c_ard_3-2-1_099070_2023-03-21_final.stac-item
2023-03-21 10:10:50	ga_ls9c_ard_3-2-1_099071_2023-03-21_final.stac-item
2023-03-21 10:13:38	ga_ls9c_ard_3-2-1_099078_2023-03-21_final.stac-item
2023-03-21 10:14:26	ga_ls9c_ard_3-2-1_099080_2023-03-21_final.stac-item
2023-03-21 10:14:50	ga_ls9c_ard_3-2-1_099081_2023-03-21_final.stac-item
2023-03-21 10:15:38	ga_ls9c_ard_3-2-1_099083_2023-03-21_final.stac-item
2023-03-21 10:16:02	ga_ls9c_ard_3-2-1_099084_2023-03-21_final.stac-item
2023-03-21 10:16:26	ga_ls9c_ard_3-2-1_099085_2023-03-21_final.stac-item
2023-03-21 11:52:31	ga_ls9c_ard_3-2-1_115078_2023-03-21_final.stac-item
2023-03-22 09:16:24	ga_ls9c_ard_3-2-1_090074_2023-03-21_final.stac-item
2023-03-22 09:16:48	ga_ls9c_ard_3-2-1_090075_2023-03-21_final.stac-item
2023-03-22 09:17:12	ga_ls9c_ard_3-2-1_090076_2023-03-21_final.stac-item
2023-03-22 09:18:00	ga_ls9c_ard_3-2-1_090078_2023-03-21_final.stac-item
2023-03-22 09:18:24	ga_ls9c_ard_3-2-1_090079_2023-03-21_final.stac-item
2023-03-22 09:19:12	ga_ls9c_ard_3-2-1_090081_2023-03-21_final.stac-item
2023-03-22 09:20:24	ga_ls9c_ard_3-2-1_090084_2023-03-21_final.stac-item
2023-03-22 09:21:12	ga_ls9c_ard_3-2-1_090086_2023-03-21_final.stac-item
2023-03-22 09:21:59	ga_ls9c_ard_3-2-1_090088_2023-03-21_final.stac-item
2023-03-22 09:22:47	ga_ls9c_ard_3-2-1_090090_2023-03-21_final.stac-item
2023-03-22 10:53:41	ga_ls9c_ard_3-2-1_106070_2023-03-22_final.stac-item
2023-03-22 10:54:29	ga_ls9c_ard_3-2-1_106072_2023-03-22_final.stac-item
2023-03-22 10:55:41	ga_ls9c_ard_3-2-1_106075_2023-03-22_final.stac-item
2023-03-22 10:57:17	ga_ls9c_ard_3-2-1_106079_2023-03-22_final.stac-item
2023-03-22 10:58:29	ga_ls9c_ard_3-2-1_106082_2023-03-22_final.stac-item
2023-03-23 09:56:52	ga_ls9c_ard_3-2-1_097067_2023-03-23_final.stac-item
2023-03-23 09:57:39	ga_ls9c_ard_3-2-1_097069_2023-03-23_final.stac-item
2023-03-23 09:58:03	ga_ls9c_ard_3-2-1_097070_2023-03-23_final.stac-item
2023-03-23 10:00:27	ga_ls9c_ard_3-2-1_097076_2023-03-23_final.stac-item
2023-03-23 10:02:03	ga_ls9c_ard_3-2-1_097080_2023-03-23_final.stac-item
2023-03-23 10:02:27	ga_ls9c_ard_3-2-1_097081_2023-03-23_final.stac-item
2023-03-23 10:03:15	ga_ls9c_ard_3-2-1_097083_2023-03-23_final.stac-item
2023-03-23 10:04:02	ga_ls9c_ard_3-2-1_097085_2023-03-23_final.stac-item
2023-03-23 11:37:44	ga_ls9c_ard_3-2-1_113072_2023-03-23_final.stac-item
2023-03-23 11:39:20	ga_ls9c_ard_3-2-1_113076_2023-03-23_final.stac-item
2023-03-23 11:40:56	ga_ls9c_ard_3-2-1_113080_2023-03-23_final.stac-item
2023-03-23 11:41:20	ga_ls9c_ard_3-2-1_113081_2023-03-23_final.stac-item
2023-03-24 09:07:12	ga_ls9c_ard_3-2-1_088082_2023-03-23_final.stac-item
2023-03-24 10:40:54	ga_ls9c_ard_3-2-1_104069_2023-03-24_final.stac-item
2023-03-24 10:41:18	ga_ls9c_ard_3-2-1_104070_2023-03-24_final.stac-item
2023-03-24 10:43:42	ga_ls9c_ard_3-2-1_104076_2023-03-24_final.stac-item
2023-03-24 10:44:30	ga_ls9c_ard_3-2-1_104078_2023-03-24_final.stac-item
2023-03-24 10:44:53	ga_ls9c_ard_3-2-1_104079_2023-03-24_final.stac-item
2023-03-24 10:45:41	ga_ls9c_ard_3-2-1_104081_2023-03-24_final.stac-item
2023-04-20 10:22:32	ga_ls9c_ard_3-2-1_101070_2023-04-20_final.stac-item
2023-04-20 10:24:08	ga_ls9c_ard_3-2-1_101074_2023-04-20_final.stac-item
2023-04-20 10:25:44	ga_ls9c_ard_3-2-1_101078_2023-04-20_final.stac-item
2023-04-20 10:27:44	ga_ls9c_ard_3-2-1_101083_2023-04-20_final.stac-item
2023-04-21 09:27:19	ga_ls9c_ard_3-2-1_092071_2023-04-20_final.stac-item
2023-04-21 09:27:43	ga_ls9c_ard_3-2-1_092072_2023-04-20_final.stac-item
2023-04-21 09:28:07	ga_ls9c_ard_3-2-1_092073_2023-04-20_final.stac-item

Return to ga_ls9c_ard_3 whole collection 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

All years