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
2023-09-29 12:15:19	ga_s2am_ard_3-2-1_49JFL_2023-09-29_nrt.stac-item
2023-09-29 12:15:21	ga_s2am_ard_3-2-1_49JGK_2023-09-29_final.stac-item
2023-09-29 12:15:23	ga_s2am_ard_3-2-1_49JFK_2023-09-29_nrt.stac-item
2023-09-30 10:00:51	ga_s2am_ard_3-2-1_55LEE_2023-09-30_nrt.stac-item
2023-09-30 10:00:54	ga_s2am_ard_3-2-1_55LDE_2023-09-30_nrt.stac-item
2023-09-30 10:01:01	ga_s2am_ard_3-2-1_55LFD_2023-09-30_nrt.stac-item
2023-09-30 10:01:20	ga_s2am_ard_3-2-1_55LEC_2023-09-30_final.stac-item
2023-09-30 10:01:23	ga_s2am_ard_3-2-1_55LDC_2023-09-30_nrt.stac-item
2023-09-30 10:02:24	ga_s2am_ard_3-2-1_55KCU_2023-09-30_final.stac-item
2023-09-30 10:02:28	ga_s2am_ard_3-2-1_55KBU_2023-09-30_final.stac-item
2023-09-30 10:02:39	ga_s2am_ard_3-2-1_55KCT_2023-09-30_final.stac-item
2023-09-30 10:02:47	ga_s2am_ard_3-2-1_55KES_2023-09-30_final.stac-item
2023-09-30 10:02:50	ga_s2am_ard_3-2-1_55KDS_2023-09-30_final.stac-item
2023-09-30 10:02:54	ga_s2am_ard_3-2-1_55KCS_2023-09-30_final.stac-item
2023-09-30 10:03:08	ga_s2am_ard_3-2-1_55KCR_2023-09-30_final.stac-item
2023-09-30 10:03:11	ga_s2am_ard_3-2-1_55KEQ_2023-09-30_final.stac-item
2023-09-30 10:03:11	ga_s2am_ard_3-2-1_55KBR_2023-09-30_final.stac-item
2023-09-30 10:03:23	ga_s2am_ard_3-2-1_55KCQ_2023-09-30_final.stac-item
2023-09-30 10:03:26	ga_s2am_ard_3-2-1_55KBQ_2023-09-30_final.stac-item
2023-09-30 10:03:34	ga_s2am_ard_3-2-1_54KYV_2023-09-30_final.stac-item
2023-09-30 10:03:37	ga_s2am_ard_3-2-1_55KCP_2023-09-30_final.stac-item
2023-09-30 10:04:15	ga_s2am_ard_3-2-1_55JDL_2023-09-30_final.stac-item
2023-09-30 10:04:21	ga_s2am_ard_3-2-1_55JCL_2023-09-30_final.stac-item
2023-09-30 10:04:24	ga_s2am_ard_3-2-1_55JBL_2023-09-30_final.stac-item
2023-09-30 10:04:25	ga_s2am_ard_3-2-1_55JDK_2023-09-30_final.stac-item
2023-09-30 10:04:27	ga_s2am_ard_3-2-1_54JYR_2023-09-30_final.stac-item
2023-09-30 10:04:35	ga_s2am_ard_3-2-1_55JCK_2023-09-30_final.stac-item
2023-09-30 10:04:39	ga_s2am_ard_3-2-1_55JBK_2023-09-30_final.stac-item
2023-09-30 10:04:42	ga_s2am_ard_3-2-1_54JYQ_2023-09-30_final.stac-item
2023-09-30 10:04:50	ga_s2am_ard_3-2-1_55JCJ_2023-09-30_final.stac-item
2023-09-30 10:04:53	ga_s2am_ard_3-2-1_55JBJ_2023-09-30_final.stac-item
2023-09-30 10:04:56	ga_s2am_ard_3-2-1_54JYP_2023-09-30_final.stac-item
2023-09-30 10:05:00	ga_s2am_ard_3-2-1_54JXP_2023-09-30_final.stac-item
2023-09-30 10:05:11	ga_s2am_ard_3-2-1_54JYN_2023-09-30_final.stac-item
2023-09-30 10:05:19	ga_s2am_ard_3-2-1_55JCG_2023-09-30_final.stac-item
2023-09-30 10:05:22	ga_s2am_ard_3-2-1_55JBG_2023-09-30_final.stac-item
2023-09-30 10:05:30	ga_s2am_ard_3-2-1_55JBG_2023-09-30_final.stac-item
2023-09-30 10:05:31	ga_s2am_ard_3-2-1_55JBF_2023-09-30_final.stac-item
2023-09-30 10:05:31	ga_s2am_ard_3-2-1_54JWM_2023-09-30_final.stac-item
2023-09-30 10:05:32	ga_s2am_ard_3-2-1_54JYM_2023-09-30_final.stac-item
2023-09-30 10:05:32	ga_s2am_ard_3-2-1_54JYL_2023-09-30_final.stac-item
2023-09-30 10:05:33	ga_s2am_ard_3-2-1_54JXM_2023-09-30_final.stac-item
2023-09-30 10:05:36	ga_s2am_ard_3-2-1_54JWM_2023-09-30_final.stac-item
2023-09-30 10:05:37	ga_s2am_ard_3-2-1_55JBF_2023-09-30_final.stac-item
2023-09-30 10:05:40	ga_s2am_ard_3-2-1_54JYL_2023-09-30_final.stac-item
2023-09-30 10:05:51	ga_s2am_ard_3-2-1_55HBE_2023-09-30_final.stac-item
2023-09-30 10:05:54	ga_s2am_ard_3-2-1_54HYK_2023-09-30_final.stac-item
2023-09-30 10:06:01	ga_s2am_ard_3-2-1_54HWK_2023-09-30_final.stac-item
2023-09-30 10:06:30	ga_s2am_ard_3-2-1_54HWH_2023-09-30_final.stac-item
2023-09-30 10:06:37	ga_s2am_ard_3-2-1_54HYG_2023-09-30_final.stac-item
2023-09-30 10:06:41	ga_s2am_ard_3-2-1_54HXG_2023-09-30_final.stac-item
2023-09-30 10:06:48	ga_s2am_ard_3-2-1_55HBA_2023-09-30_final.stac-item
2023-09-30 10:06:52	ga_s2am_ard_3-2-1_54HYF_2023-09-30_final.stac-item
2023-09-30 10:07:05	ga_s2am_ard_3-2-1_54HYE_2023-09-30_final.stac-item
2023-09-30 10:07:10	ga_s2am_ard_3-2-1_54HXE_2023-09-30_final.stac-item
2023-09-30 10:07:14	ga_s2am_ard_3-2-1_54HWE_2023-09-30_final.stac-item
2023-09-30 10:07:17	ga_s2am_ard_3-2-1_54HVE_2023-09-30_final.stac-item
2023-09-30 10:07:28	ga_s2am_ard_3-2-1_54HWD_2023-09-30_final.stac-item
2023-09-30 10:07:32	ga_s2am_ard_3-2-1_54HVD_2023-09-30_final.stac-item
2023-09-30 10:07:39	ga_s2am_ard_3-2-1_54HXC_2023-09-30_final.stac-item
2023-09-30 10:07:43	ga_s2am_ard_3-2-1_54HWC_2023-09-30_final.stac-item
2023-09-30 10:07:46	ga_s2am_ard_3-2-1_54HVC_2023-09-30_final.stac-item
2023-09-30 10:07:48	ga_s2am_ard_3-2-1_54HUC_2023-09-30_nrt.stac-item
2023-09-30 11:41:28	ga_s2am_ard_3-2-1_51LWE_2023-09-30_final.stac-item
2023-09-30 11:41:32	ga_s2am_ard_3-2-1_51LVE_2023-09-30_final.stac-item
2023-09-30 11:41:49	ga_s2am_ard_3-2-1_51LUD_2023-09-30_final.stac-item
2023-09-30 11:42:01	ga_s2am_ard_3-2-1_51LVC_2023-09-30_final.stac-item
2023-09-30 11:42:36	ga_s2am_ard_3-2-1_51KTA_2023-09-30_nrt.stac-item
2023-09-30 11:42:44	ga_s2am_ard_3-2-1_51KVV_2023-09-30_final.stac-item
2023-09-30 11:42:52	ga_s2am_ard_3-2-1_50KRE_2023-09-30_nrt.stac-item
2023-09-30 11:43:02	ga_s2am_ard_3-2-1_51KUU_2023-09-30_final.stac-item
2023-09-30 11:43:17	ga_s2am_ard_3-2-1_51KUT_2023-09-30_final.stac-item
2023-09-30 11:43:27	ga_s2am_ard_3-2-1_51KVS_2023-09-30_final.stac-item
2023-09-30 11:43:31	ga_s2am_ard_3-2-1_51KUS_2023-09-30_final.stac-item
2023-09-30 11:43:46	ga_s2am_ard_3-2-1_51KUR_2023-09-30_final.stac-item
2023-09-30 11:43:49	ga_s2am_ard_3-2-1_51KTR_2023-09-30_final.stac-item
2023-09-30 11:44:00	ga_s2am_ard_3-2-1_51KUQ_2023-09-30_final.stac-item
2023-09-30 11:44:04	ga_s2am_ard_3-2-1_51KTQ_2023-09-30_final.stac-item
2023-09-30 11:44:12	ga_s2am_ard_3-2-1_50KPV_2023-09-30_final.stac-item
2023-09-30 11:44:15	ga_s2am_ard_3-2-1_51KUP_2023-09-30_final.stac-item
2023-09-30 11:44:53	ga_s2am_ard_3-2-1_51JUL_2023-09-30_final.stac-item
2023-09-30 11:45:02	ga_s2am_ard_3-2-1_51JTL_2023-09-30_final.stac-item
2023-09-30 11:45:05	ga_s2am_ard_3-2-1_50JQR_2023-09-30_final.stac-item
2023-09-30 11:45:16	ga_s2am_ard_3-2-1_51JTK_2023-09-30_final.stac-item
2023-09-30 11:45:20	ga_s2am_ard_3-2-1_50JQQ_2023-09-30_final.stac-item
2023-09-30 11:45:27	ga_s2am_ard_3-2-1_50JNQ_2023-09-30_final.stac-item
2023-09-30 11:45:31	ga_s2am_ard_3-2-1_51JTJ_2023-09-30_final.stac-item
2023-09-30 11:45:34	ga_s2am_ard_3-2-1_50JQP_2023-09-30_final.stac-item
2023-09-30 11:45:38	ga_s2am_ard_3-2-1_50JPP_2023-09-30_final.stac-item
2023-09-30 11:45:41	ga_s2am_ard_3-2-1_50JNP_2023-09-30_final.stac-item
2023-09-30 11:45:56	ga_s2am_ard_3-2-1_50JNN_2023-09-30_final.stac-item
2023-09-30 11:46:07	ga_s2am_ard_3-2-1_50JPM_2023-09-30_final.stac-item
2023-09-30 11:46:10	ga_s2am_ard_3-2-1_50JNM_2023-09-30_final.stac-item
2023-09-30 11:46:15	ga_s2am_ard_3-2-1_50JMM_2023-09-30_final.stac-item
2023-09-30 11:46:17	ga_s2am_ard_3-2-1_50JQL_2023-09-30_final.stac-item
2023-09-30 11:46:32	ga_s2am_ard_3-2-1_50HQK_2023-09-30_final.stac-item
2023-09-30 11:46:40	ga_s2am_ard_3-2-1_50HNK_2023-09-30_final.stac-item
2023-09-30 11:46:43	ga_s2am_ard_3-2-1_50HMK_2023-09-30_final.stac-item
2023-09-30 11:47:09	ga_s2am_ard_3-2-1_50HNH_2023-09-30_final.stac-item
2023-09-30 11:47:12	ga_s2am_ard_3-2-1_50HMH_2023-09-30_final.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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