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
2023-09-20 10:02:44	ga_s2am_ard_3-2-1_54KZC_2023-09-20_final.stac-item
2023-09-20 10:02:57	ga_s2am_ard_3-2-1_54KZB_2023-09-20_final.stac-item
2023-09-20 10:03:40	ga_s2am_ard_3-2-1_54KZU_2023-09-20_final.stac-item
2023-09-20 10:03:45	ga_s2am_ard_3-2-1_54KYU_2023-09-20_final.stac-item
2023-09-20 10:03:55	ga_s2am_ard_3-2-1_54JZT_2023-09-20_final.stac-item
2023-09-20 10:04:13	ga_s2am_ard_3-2-1_54JYS_2023-09-20_final.stac-item
2023-09-20 10:04:28	ga_s2am_ard_3-2-1_54JYR_2023-09-20_final.stac-item
2023-09-20 10:04:46	ga_s2am_ard_3-2-1_54JXQ_2023-09-20_final.stac-item
2023-09-20 10:05:00	ga_s2am_ard_3-2-1_54JXP_2023-09-20_final.stac-item
2023-09-20 10:05:11	ga_s2am_ard_3-2-1_54JYN_2023-09-20_final.stac-item
2023-09-20 10:05:21	ga_s2am_ard_3-2-1_54JYM_2023-09-20_final.stac-item
2023-09-20 10:05:28	ga_s2am_ard_3-2-1_54JYM_2023-09-20_final.stac-item
2023-09-20 10:05:40	ga_s2am_ard_3-2-1_54JYL_2023-09-20_final.stac-item
2023-09-20 10:05:43	ga_s2am_ard_3-2-1_54JXL_2023-09-20_final.stac-item
2023-09-20 10:05:58	ga_s2am_ard_3-2-1_54HXK_2023-09-20_final.stac-item
2023-09-20 10:06:01	ga_s2am_ard_3-2-1_54HWK_2023-09-20_final.stac-item
2023-09-20 10:06:21	ga_s2am_ard_3-2-1_55HBC_2023-09-20_final.stac-item
2023-09-20 10:06:23	ga_s2am_ard_3-2-1_54HYH_2023-09-20_final.stac-item
2023-09-20 10:06:35	ga_s2am_ard_3-2-1_55HBB_2023-09-20_final.stac-item
2023-09-20 10:06:37	ga_s2am_ard_3-2-1_54HYG_2023-09-20_final.stac-item
2023-09-20 10:06:41	ga_s2am_ard_3-2-1_54HXG_2023-09-20_final.stac-item
2023-09-20 10:06:45	ga_s2am_ard_3-2-1_54HWG_2023-09-20_final.stac-item
2023-09-20 10:06:48	ga_s2am_ard_3-2-1_54HVG_2023-09-20_final.stac-item
2023-09-20 10:06:56	ga_s2am_ard_3-2-1_54HXF_2023-09-20_final.stac-item
2023-09-20 10:06:59	ga_s2am_ard_3-2-1_54HWF_2023-09-20_final.stac-item
2023-09-20 10:07:03	ga_s2am_ard_3-2-1_54HVF_2023-09-20_final.stac-item
2023-09-20 10:07:39	ga_s2am_ard_3-2-1_54HXC_2023-09-20_final.stac-item
2023-09-20 10:07:43	ga_s2am_ard_3-2-1_54HWC_2023-09-20_final.stac-item
2023-09-20 11:40:59	ga_s2am_ard_3-2-1_51LWG_2023-09-20_final.stac-item
2023-09-20 11:41:17	ga_s2am_ard_3-2-1_51LVF_2023-09-20_final.stac-item
2023-09-20 11:41:28	ga_s2am_ard_3-2-1_51LWE_2023-09-20_final.stac-item
2023-09-20 11:41:32	ga_s2am_ard_3-2-1_51LVE_2023-09-20_final.stac-item
2023-09-20 11:41:35	ga_s2am_ard_3-2-1_51LUE_2023-09-20_final.stac-item
2023-09-20 11:42:01	ga_s2am_ard_3-2-1_51LVC_2023-09-20_final.stac-item
2023-09-20 11:42:19	ga_s2am_ard_3-2-1_51KUB_2023-09-20_final.stac-item
2023-09-20 11:42:30	ga_s2am_ard_3-2-1_51KVA_2023-09-20_final.stac-item
2023-09-20 11:42:33	ga_s2am_ard_3-2-1_51KUA_2023-09-20_final.stac-item
2023-09-20 11:42:44	ga_s2am_ard_3-2-1_51KVV_2023-09-20_final.stac-item
2023-09-20 11:42:48	ga_s2am_ard_3-2-1_51KUV_2023-09-20_final.stac-item
2023-09-20 11:42:59	ga_s2am_ard_3-2-1_51KVU_2023-09-20_final.stac-item
2023-09-20 11:43:06	ga_s2am_ard_3-2-1_50KRD_2023-09-20_final.stac-item
2023-09-20 11:43:20	ga_s2am_ard_3-2-1_51KTT_2023-09-20_final.stac-item
2023-09-20 11:43:24	ga_s2am_ard_3-2-1_50KQC_2023-09-20_final.stac-item
2023-09-20 11:43:31	ga_s2am_ard_3-2-1_51KUS_2023-09-20_final.stac-item
2023-09-20 11:43:35	ga_s2am_ard_3-2-1_51KTS_2023-09-20_final.stac-item
2023-09-20 11:43:38	ga_s2am_ard_3-2-1_51KVR_2023-09-20_final.stac-item
2023-09-20 11:43:38	ga_s2am_ard_3-2-1_50KQB_2023-09-20_final.stac-item
2023-09-20 11:43:46	ga_s2am_ard_3-2-1_51KUR_2023-09-20_final.stac-item
2023-09-20 11:43:49	ga_s2am_ard_3-2-1_51KTR_2023-09-20_final.stac-item
2023-09-20 11:43:49	ga_s2am_ard_3-2-1_50KRA_2023-09-20_final.stac-item
2023-09-20 11:44:08	ga_s2am_ard_3-2-1_50KQV_2023-09-20_final.stac-item
2023-09-20 11:44:18	ga_s2am_ard_3-2-1_50KRU_2023-09-20_final.stac-item
2023-09-20 11:44:25	ga_s2am_ard_3-2-1_50KPU_2023-09-20_final.stac-item
2023-09-20 11:44:29	ga_s2am_ard_3-2-1_51JUN_2023-09-20_final.stac-item
2023-09-20 11:44:32	ga_s2am_ard_3-2-1_51JTN_2023-09-20_final.stac-item
2023-09-20 11:44:35	ga_s2am_ard_3-2-1_50JPT_2023-09-20_final.stac-item
2023-09-20 11:44:36	ga_s2am_ard_3-2-1_51JUN_2023-09-20_final.stac-item
2023-09-20 11:44:38	ga_s2am_ard_3-2-1_51JTM_2023-09-20_final.stac-item
2023-09-20 11:44:38	ga_s2am_ard_3-2-1_51JTN_2023-09-20_final.stac-item
2023-09-20 11:44:42	ga_s2am_ard_3-2-1_50JPT_2023-09-20_final.stac-item
2023-09-20 11:44:47	ga_s2am_ard_3-2-1_51JTM_2023-09-20_final.stac-item
2023-09-20 11:45:06	ga_s2am_ard_3-2-1_50JQR_2023-09-20_final.stac-item
2023-09-20 11:45:13	ga_s2am_ard_3-2-1_50JNR_2023-09-20_final.stac-item
2023-09-20 11:45:20	ga_s2am_ard_3-2-1_50JQQ_2023-09-20_final.stac-item
2023-09-20 11:45:23	ga_s2am_ard_3-2-1_50JPQ_2023-09-20_final.stac-item
2023-09-20 11:45:31	ga_s2am_ard_3-2-1_51JTJ_2023-09-20_final.stac-item
2023-09-20 11:45:34	ga_s2am_ard_3-2-1_50JQP_2023-09-20_final.stac-item
2023-09-20 11:45:38	ga_s2am_ard_3-2-1_50JPP_2023-09-20_final.stac-item
2023-09-20 11:45:46	ga_s2am_ard_3-2-1_51JTH_2023-09-20_final.stac-item
2023-09-20 11:45:56	ga_s2am_ard_3-2-1_50JNN_2023-09-20_final.stac-item
2023-09-20 11:46:10	ga_s2am_ard_3-2-1_50JNM_2023-09-20_final.stac-item
2023-09-20 11:46:15	ga_s2am_ard_3-2-1_50JMM_2023-09-20_final.stac-item
2023-09-20 11:46:17	ga_s2am_ard_3-2-1_50JQL_2023-09-20_final.stac-item
2023-09-20 11:46:28	ga_s2am_ard_3-2-1_50JML_2023-09-20_final.stac-item
2023-09-20 11:46:32	ga_s2am_ard_3-2-1_50HQK_2023-09-20_final.stac-item
2023-09-20 11:46:36	ga_s2am_ard_3-2-1_50HPK_2023-09-20_final.stac-item
2023-09-20 11:46:40	ga_s2am_ard_3-2-1_50HNK_2023-09-20_final.stac-item
2023-09-20 11:46:43	ga_s2am_ard_3-2-1_50HMK_2023-09-20_final.stac-item
2023-09-20 11:46:50	ga_s2am_ard_3-2-1_50HPJ_2023-09-20_final.stac-item
2023-09-20 11:46:54	ga_s2am_ard_3-2-1_50HNJ_2023-09-20_final.stac-item
2023-09-20 11:46:58	ga_s2am_ard_3-2-1_50HMJ_2023-09-20_final.stac-item
2023-09-20 11:47:16	ga_s2am_ard_3-2-1_50HLH_2023-09-20_final.stac-item
2023-09-29 10:30:06	ga_s2am_ard_3-2-1_54LUP_2023-09-29_nrt.stac-item
2023-09-29 10:31:23	ga_s2am_ard_3-2-1_53LRD_2023-09-29_nrt.stac-item
2023-09-29 12:15:23	ga_s2am_ard_3-2-1_49JFK_2023-09-29_nrt.stac-item
2023-09-30 10:07:48	ga_s2am_ard_3-2-1_54HUC_2023-09-30_nrt.stac-item
2023-09-30 10:07:49	ga_s2am_ard_3-2-1_54HXB_2023-09-30_nrt.stac-item
2023-09-30 10:07:51	ga_s2am_ard_3-2-1_54HWB_2023-09-30_nrt.stac-item
2023-09-30 10:07:52	ga_s2am_ard_3-2-1_54HVB_2023-09-30_nrt.stac-item
2023-09-30 11:40:27	ga_s2am_ard_3-2-1_51LXJ_2023-09-30_nrt.stac-item
2023-09-30 11:40:45	ga_s2am_ard_3-2-1_51LWH_2023-09-30_nrt.stac-item
2023-09-30 11:40:56	ga_s2am_ard_3-2-1_51LXG_2023-09-30_nrt.stac-item
2023-09-30 11:41:39	ga_s2am_ard_3-2-1_51LTE_2023-09-30_nrt.stac-item
2023-09-30 11:41:52	ga_s2am_ard_3-2-1_51LTD_2023-09-30_nrt.stac-item
2023-09-30 11:42:10	ga_s2am_ard_3-2-1_50LRH_2023-09-30_nrt.stac-item
2023-09-30 11:42:23	ga_s2am_ard_3-2-1_50KRG_2023-09-30_nrt.stac-item
2023-09-30 11:42:36	ga_s2am_ard_3-2-1_51KTA_2023-09-30_nrt.stac-item
2023-09-30 11:42:52	ga_s2am_ard_3-2-1_50KRE_2023-09-30_nrt.stac-item
2023-09-30 11:47:30	ga_s2am_ard_3-2-1_50HPF_2023-09-30_nrt.stac-item
2023-09-30 11:47:32	ga_s2am_ard_3-2-1_50HNF_2023-09-30_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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