Search ga_s2am_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 (e.g. ‘epsg:32654’) :

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):

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:

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 Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2023-07-02 08:24:30	ga_s2am_ard_3-2-1_59JKH_2023-07-01_final.stac-item
2023-07-02 08:24:31	ga_s2am_ard_3-2-1_58JGN_2023-07-01_final.stac-item
2023-07-02 10:00:24	ga_s2am_ard_3-2-1_55LEG_2023-07-02_nrt.stac-item
2023-07-02 10:00:27	ga_s2am_ard_3-2-1_55LDG_2023-07-02_nrt.stac-item
2023-07-02 10:00:39	ga_s2am_ard_3-2-1_55LEF_2023-07-02_nrt.stac-item
2023-07-02 10:00:42	ga_s2am_ard_3-2-1_55LDF_2023-07-02_nrt.stac-item
2023-07-02 10:01:04	ga_s2am_ard_3-2-1_55LFD_2023-07-02_nrt.stac-item
2023-07-02 10:01:08	ga_s2am_ard_3-2-1_55LED_2023-07-02_nrt.stac-item
2023-07-02 10:01:11	ga_s2am_ard_3-2-1_55LDD_2023-07-02_nrt.stac-item
2023-07-02 10:01:16	ga_s2am_ard_3-2-1_55LCD_2023-07-02_final.stac-item
2023-07-02 10:01:33	ga_s2am_ard_3-2-1_55KFB_2023-07-02_final.stac-item
2023-07-02 10:01:43	ga_s2am_ard_3-2-1_55KCB_2023-07-02_final.stac-item
2023-07-02 10:01:59	ga_s2am_ard_3-2-1_55KFV_2023-07-02_nrt.stac-item
2023-07-02 10:02:59	ga_s2am_ard_3-2-1_54KZB_2023-07-02_final.stac-item
2023-07-02 10:03:03	ga_s2am_ard_3-2-1_55KER_2023-07-02_final.stac-item
2023-07-02 10:03:07	ga_s2am_ard_3-2-1_55KDR_2023-07-02_final.stac-item
2023-07-02 10:03:13	ga_s2am_ard_3-2-1_55KEQ_2023-07-02_final.stac-item
2023-07-02 10:03:14	ga_s2am_ard_3-2-1_54KZA_2023-07-02_final.stac-item
2023-07-02 10:03:25	ga_s2am_ard_3-2-1_55KCQ_2023-07-02_final.stac-item
2023-07-02 10:03:28	ga_s2am_ard_3-2-1_55KBQ_2023-07-02_final.stac-item
2023-07-02 10:03:29	ga_s2am_ard_3-2-1_54KZV_2023-07-02_final.stac-item
2023-07-02 10:03:36	ga_s2am_ard_3-2-1_54KYV_2023-07-02_final.stac-item
2023-07-02 10:03:43	ga_s2am_ard_3-2-1_55KBP_2023-07-02_final.stac-item
2023-07-02 10:03:43	ga_s2am_ard_3-2-1_54KZU_2023-07-02_final.stac-item
2023-07-02 10:03:47	ga_s2am_ard_3-2-1_54KYU_2023-07-02_final.stac-item
2023-07-02 10:03:51	ga_s2am_ard_3-2-1_55JDN_2023-07-02_final.stac-item
2023-07-02 10:03:54	ga_s2am_ard_3-2-1_55JCN_2023-07-02_final.stac-item
2023-07-02 10:03:57	ga_s2am_ard_3-2-1_54JZT_2023-07-02_final.stac-item
2023-07-02 10:03:57	ga_s2am_ard_3-2-1_55JBN_2023-07-02_final.stac-item
2023-07-02 10:04:01	ga_s2am_ard_3-2-1_54JYT_2023-07-02_final.stac-item
2023-07-02 10:04:09	ga_s2am_ard_3-2-1_55JCM_2023-07-02_final.stac-item
2023-07-02 10:04:12	ga_s2am_ard_3-2-1_54JZS_2023-07-02_final.stac-item
2023-07-02 10:04:30	ga_s2am_ard_3-2-1_54JYR_2023-07-02_final.stac-item
2023-07-02 10:04:37	ga_s2am_ard_3-2-1_54JXR_2023-07-02_final.stac-item
2023-07-02 10:04:56	ga_s2am_ard_3-2-1_55JBJ_2023-07-02_final.stac-item
2023-07-02 10:04:59	ga_s2am_ard_3-2-1_54JYP_2023-07-02_final.stac-item
2023-07-02 10:05:13	ga_s2am_ard_3-2-1_54JYN_2023-07-02_final.stac-item
2023-07-02 10:05:33	ga_s2am_ard_3-2-1_55JCF_2023-07-02_final.stac-item
2023-07-02 10:05:37	ga_s2am_ard_3-2-1_54JWM_2023-07-02_final.stac-item
2023-07-02 10:05:49	ga_s2am_ard_3-2-1_54JWL_2023-07-02_final.stac-item
2023-07-02 10:05:54	ga_s2am_ard_3-2-1_54JXL_2023-07-02_final.stac-item
2023-07-02 10:05:55	ga_s2am_ard_3-2-1_54JWL_2023-07-02_final.stac-item
2023-07-02 10:06:58	ga_s2am_ard_3-2-1_54HXF_2023-07-02_final.stac-item
2023-07-02 10:07:00	ga_s2am_ard_3-2-1_55HBV_2023-07-02_final.stac-item
2023-07-02 10:07:08	ga_s2am_ard_3-2-1_54HYE_2023-07-02_final.stac-item
2023-07-02 10:07:12	ga_s2am_ard_3-2-1_54HXE_2023-07-02_final.stac-item
2023-07-02 10:07:16	ga_s2am_ard_3-2-1_54HWE_2023-07-02_final.stac-item
2023-07-02 10:07:20	ga_s2am_ard_3-2-1_54HVE_2023-07-02_final.stac-item
2023-07-02 10:07:52	ga_s2am_ard_3-2-1_54HXB_2023-07-02_nrt.stac-item
2023-07-02 10:07:53	ga_s2am_ard_3-2-1_54HWB_2023-07-02_nrt.stac-item
2023-07-02 10:07:54	ga_s2am_ard_3-2-1_54HVB_2023-07-02_nrt.stac-item
2023-07-02 11:41:02	ga_s2am_ard_3-2-1_51LWG_2023-07-02_final.stac-item
2023-07-02 11:41:05	ga_s2am_ard_3-2-1_51LVG_2023-07-02_final.stac-item
2023-07-02 11:41:16	ga_s2am_ard_3-2-1_51LWF_2023-07-02_nrt.stac-item
2023-07-02 11:41:20	ga_s2am_ard_3-2-1_51LVF_2023-07-02_final.stac-item
2023-07-02 11:41:45	ga_s2am_ard_3-2-1_51LWD_2023-07-02_nrt.stac-item
2023-07-02 11:41:49	ga_s2am_ard_3-2-1_51LVD_2023-07-02_nrt.stac-item
2023-07-02 11:41:52	ga_s2am_ard_3-2-1_51LUD_2023-07-02_final.stac-item
2023-07-02 11:42:21	ga_s2am_ard_3-2-1_51KUB_2023-07-02_final.stac-item
2023-07-02 11:42:24	ga_s2am_ard_3-2-1_51KTB_2023-07-02_nrt.stac-item
2023-07-02 11:42:25	ga_s2am_ard_3-2-1_50KRG_2023-07-02_nrt.stac-item
2023-07-02 11:42:39	ga_s2am_ard_3-2-1_51KTA_2023-07-02_nrt.stac-item
2023-07-02 11:42:53	ga_s2am_ard_3-2-1_51KTV_2023-07-02_nrt.stac-item
2023-07-02 11:43:09	ga_s2am_ard_3-2-1_50KRD_2023-07-02_final.stac-item
2023-07-02 11:43:38	ga_s2am_ard_3-2-1_50KRB_2023-07-02_final.stac-item
2023-07-02 11:43:40	ga_s2am_ard_3-2-1_51KVR_2023-07-02_final.stac-item
2023-07-02 11:43:52	ga_s2am_ard_3-2-1_50KRA_2023-07-02_final.stac-item
2023-07-02 11:44:06	ga_s2am_ard_3-2-1_51KTQ_2023-07-02_final.stac-item
2023-07-02 11:44:06	ga_s2am_ard_3-2-1_50KRV_2023-07-02_final.stac-item
2023-07-02 11:44:10	ga_s2am_ard_3-2-1_50KQV_2023-07-02_final.stac-item
2023-07-02 11:44:15	ga_s2am_ard_3-2-1_50KPV_2023-07-02_final.stac-item
2023-07-02 11:44:18	ga_s2am_ard_3-2-1_51KUP_2023-07-02_final.stac-item
2023-07-02 11:44:21	ga_s2am_ard_3-2-1_50KRU_2023-07-02_final.stac-item
2023-07-02 11:44:21	ga_s2am_ard_3-2-1_51KTP_2023-07-02_final.stac-item
2023-07-02 11:44:24	ga_s2am_ard_3-2-1_50KQU_2023-07-02_final.stac-item
2023-07-02 11:44:28	ga_s2am_ard_3-2-1_50KPU_2023-07-02_final.stac-item
2023-07-02 11:44:32	ga_s2am_ard_3-2-1_51JUN_2023-07-02_final.stac-item
2023-07-02 11:44:35	ga_s2am_ard_3-2-1_50JRT_2023-07-02_final.stac-item
2023-07-02 11:44:35	ga_s2am_ard_3-2-1_51JTN_2023-07-02_final.stac-item
2023-07-02 11:44:39	ga_s2am_ard_3-2-1_50JQT_2023-07-02_final.stac-item
2023-07-02 11:44:42	ga_s2am_ard_3-2-1_50JPT_2023-07-02_final.stac-item
2023-07-02 11:44:44	ga_s2am_ard_3-2-1_51JUM_2023-07-02_final.stac-item
2023-07-02 11:44:46	ga_s2am_ard_3-2-1_51JTM_2023-07-02_final.stac-item
2023-07-02 11:44:50	ga_s2am_ard_3-2-1_50JPT_2023-07-02_final.stac-item
2023-07-02 11:44:50	ga_s2am_ard_3-2-1_51JUM_2023-07-02_final.stac-item
2023-07-02 11:44:57	ga_s2am_ard_3-2-1_50JPS_2023-07-02_final.stac-item
2023-07-02 11:45:08	ga_s2am_ard_3-2-1_50JQR_2023-07-02_final.stac-item
2023-07-02 11:45:16	ga_s2am_ard_3-2-1_50JNR_2023-07-02_final.stac-item
2023-07-02 11:45:29	ga_s2am_ard_3-2-1_50JNQ_2023-07-02_final.stac-item
2023-07-02 11:45:37	ga_s2am_ard_3-2-1_50JQP_2023-07-02_final.stac-item
2023-07-02 11:45:44	ga_s2am_ard_3-2-1_50JNP_2023-07-02_final.stac-item
2023-07-02 11:45:48	ga_s2am_ard_3-2-1_51JTH_2023-07-02_final.stac-item
2023-07-02 11:45:51	ga_s2am_ard_3-2-1_50JQN_2023-07-02_final.stac-item
2023-07-02 11:45:59	ga_s2am_ard_3-2-1_50JNN_2023-07-02_final.stac-item
2023-07-02 11:46:13	ga_s2am_ard_3-2-1_50JNM_2023-07-02_final.stac-item
2023-07-02 11:46:17	ga_s2am_ard_3-2-1_50JMM_2023-07-02_final.stac-item
2023-07-02 11:46:27	ga_s2am_ard_3-2-1_50JNL_2023-07-02_final.stac-item
2023-07-02 11:46:31	ga_s2am_ard_3-2-1_50JML_2023-07-02_final.stac-item
2023-07-02 11:47:33	ga_s2am_ard_3-2-1_50HPF_2023-07-02_nrt.stac-item
2023-07-02 11:47:34	ga_s2am_ard_3-2-1_50HNF_2023-07-02_nrt.stac-item

Return to ga_s2am_ard_3 whole collection overview

ga_s2am_ard_3: Geoscience Australia Sentinel 2A MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

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