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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
2019-09-20 10:35:34	ga_s2am_ard_3-2-1_53JPG_2019-09-20_final
2019-09-20 10:35:38	ga_s2am_ard_3-2-1_53JNG_2019-09-20_final
2019-09-20 10:35:41	ga_s2am_ard_3-2-1_53JMG_2019-09-20_final
2019-09-20 10:35:44	ga_s2am_ard_3-2-1_53JQF_2019-09-20_final
2019-09-20 10:35:48	ga_s2am_ard_3-2-1_53JPF_2019-09-20_final
2019-09-20 10:35:52	ga_s2am_ard_3-2-1_53JNF_2019-09-20_final
2019-09-20 10:35:56	ga_s2am_ard_3-2-1_53JMF_2019-09-20_final
2019-09-20 10:36:03	ga_s2am_ard_3-2-1_53HPE_2019-09-20_final
2019-09-20 10:36:16	ga_s2am_ard_3-2-1_53HLE_2019-09-20_final
2019-09-20 10:36:17	ga_s2am_ard_3-2-1_53HPD_2019-09-20_final
2019-09-20 10:36:28	ga_s2am_ard_3-2-1_53HLD_2019-09-20_final
2019-09-20 10:36:32	ga_s2am_ard_3-2-1_53HPC_2019-09-20_final
2019-09-20 10:36:36	ga_s2am_ard_3-2-1_53HNC_2019-09-20_final
2019-09-20 10:36:39	ga_s2am_ard_3-2-1_53HMC_2019-09-20_final.stac-item
2019-09-20 10:36:50	ga_s2am_ard_3-2-1_53HNB_2019-09-20_final
2019-09-20 10:36:54	ga_s2am_ard_3-2-1_53HMB_2019-09-20_final.stac-item
2019-09-20 10:36:58	ga_s2am_ard_3-2-1_53HPA_2019-09-20_final
2019-09-20 10:37:08	ga_s2am_ard_3-2-1_53HPV_2019-09-20_final.stac-item
2019-09-20 12:13:39	ga_s2am_ard_3-2-1_50KKB_2019-09-20_final
2019-09-20 12:13:54	ga_s2am_ard_3-2-1_50KKA_2019-09-20_final
2019-09-20 12:13:58	ga_s2am_ard_3-2-1_49KGR_2019-09-20_final
2019-09-20 12:14:07	ga_s2am_ard_3-2-1_50KKV_2019-09-20_final
2019-09-20 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2019-09-20_final
2019-09-20 12:14:19	ga_s2am_ard_3-2-1_50KKU_2019-09-20_final
2019-09-20 12:14:27	ga_s2am_ard_3-2-1_49KGP_2019-09-20_final
2019-09-20 12:14:41	ga_s2am_ard_3-2-1_49JGN_2019-09-20_final
2019-09-20 12:14:45	ga_s2am_ard_3-2-1_49JFN_2019-09-20_final
2019-09-20 12:14:56	ga_s2am_ard_3-2-1_49JGM_2019-09-20_final
2019-09-20 12:15:00	ga_s2am_ard_3-2-1_49JFM_2019-09-20_final
2019-09-21 10:01:11	ga_s2am_ard_3-2-1_55LCD_2019-09-21_final
2019-09-21 10:01:14	ga_s2am_ard_3-2-1_55LFC_2019-09-21_final
2019-09-21 10:01:24	ga_s2am_ard_3-2-1_55LCC_2019-09-21_final
2019-09-21 10:01:32	ga_s2am_ard_3-2-1_55KEB_2019-09-21_final
2019-09-21 10:01:43	ga_s2am_ard_3-2-1_55KFA_2019-09-21_final
2019-09-21 10:01:53	ga_s2am_ard_3-2-1_55KCA_2019-09-21_final
2019-09-21 10:02:01	ga_s2am_ard_3-2-1_55KEV_2019-09-21_final
2019-09-21 10:02:05	ga_s2am_ard_3-2-1_55KDV_2019-09-21_final
2019-09-21 10:02:05	ga_s2am_ard_3-2-1_55KFU_2019-09-21_final
2019-09-21 10:02:08	ga_s2am_ard_3-2-1_55KCV_2019-09-21_final
2019-09-21 10:02:15	ga_s2am_ard_3-2-1_55KBV_2019-09-21_final
2019-09-21 10:02:15	ga_s2am_ard_3-2-1_55KEU_2019-09-21_final
2019-09-21 10:02:19	ga_s2am_ard_3-2-1_55KDU_2019-09-21_final
2019-09-21 10:02:22	ga_s2am_ard_3-2-1_55KCU_2019-09-21_final
2019-09-21 10:02:26	ga_s2am_ard_3-2-1_55KBU_2019-09-21_final
2019-09-21 10:02:30	ga_s2am_ard_3-2-1_55KET_2019-09-21_final
2019-09-21 10:02:34	ga_s2am_ard_3-2-1_55KDT_2019-09-21_final
2019-09-21 10:02:37	ga_s2am_ard_3-2-1_55KCT_2019-09-21_final
2019-09-21 10:02:40	ga_s2am_ard_3-2-1_55KBT_2019-09-21_final
2019-09-21 10:02:42	ga_s2am_ard_3-2-1_54KZC_2019-09-21_final
2019-09-21 10:02:45	ga_s2am_ard_3-2-1_55KES_2019-09-21_final
2019-09-21 10:02:48	ga_s2am_ard_3-2-1_55KDS_2019-09-21_final
2019-09-21 10:02:51	ga_s2am_ard_3-2-1_55KCS_2019-09-21_final
2019-09-21 10:02:54	ga_s2am_ard_3-2-1_55KBS_2019-09-21_final
2019-09-21 10:02:58	ga_s2am_ard_3-2-1_55KER_2019-09-21_final
2019-09-21 10:03:03	ga_s2am_ard_3-2-1_55KDR_2019-09-21_final
2019-09-21 10:03:06	ga_s2am_ard_3-2-1_55KCR_2019-09-21_final
2019-09-21 10:03:09	ga_s2am_ard_3-2-1_55KEQ_2019-09-21_final
2019-09-21 10:03:09	ga_s2am_ard_3-2-1_55KBR_2019-09-21_final
2019-09-21 10:03:17	ga_s2am_ard_3-2-1_55KDQ_2019-09-21_final
2019-09-21 10:03:21	ga_s2am_ard_3-2-1_55KCQ_2019-09-21_final
2019-09-21 10:03:24	ga_s2am_ard_3-2-1_55KBQ_2019-09-21_final
2019-09-21 10:03:31	ga_s2am_ard_3-2-1_55KDP_2019-09-21_final
2019-09-21 10:03:32	ga_s2am_ard_3-2-1_54KYV_2019-09-21_final
2019-09-21 10:03:35	ga_s2am_ard_3-2-1_55KCP_2019-09-21_final
2019-09-21 10:03:38	ga_s2am_ard_3-2-1_55KBP_2019-09-21_final
2019-09-21 10:03:43	ga_s2am_ard_3-2-1_54KYU_2019-09-21_final
2019-09-21 10:03:46	ga_s2am_ard_3-2-1_55JDN_2019-09-21_final
2019-09-21 10:03:50	ga_s2am_ard_3-2-1_55JCN_2019-09-21_final
2019-09-21 10:03:53	ga_s2am_ard_3-2-1_55JBN_2019-09-21_final
2019-09-21 10:03:56	ga_s2am_ard_3-2-1_54JYT_2019-09-21_final
2019-09-21 10:04:00	ga_s2am_ard_3-2-1_55JDM_2019-09-21_final
2019-09-21 10:04:04	ga_s2am_ard_3-2-1_55JCM_2019-09-21_final
2019-09-21 10:04:07	ga_s2am_ard_3-2-1_54JZS_2019-09-21_final
2019-09-21 10:04:07	ga_s2am_ard_3-2-1_55JBM_2019-09-21_final
2019-09-21 10:04:11	ga_s2am_ard_3-2-1_54JYS_2019-09-21_final
2019-09-21 10:04:33	ga_s2am_ard_3-2-1_55JCK_2019-09-21_final
2019-09-21 10:04:48	ga_s2am_ard_3-2-1_55JCJ_2019-09-21_final
2019-09-21 10:05:03	ga_s2am_ard_3-2-1_55JCH_2019-09-21_final
2019-09-21 10:05:12	ga_s2am_ard_3-2-1_54JXN_2019-09-21_final
2019-09-21 10:05:27	ga_s2am_ard_3-2-1_54JXM_2019-09-21_final
2019-09-21 10:05:33	ga_s2am_ard_3-2-1_54JWM_2019-09-21_final
2019-09-21 10:05:37	ga_s2am_ard_3-2-1_54JYL_2019-09-21_final
2019-09-21 10:05:45	ga_s2am_ard_3-2-1_54JWL_2019-09-21_final
2019-09-21 10:05:56	ga_s2am_ard_3-2-1_54HXK_2019-09-21_final
2019-09-21 10:06:04	ga_s2am_ard_3-2-1_55HBD_2019-09-21_final
2019-09-21 10:06:06	ga_s2am_ard_3-2-1_54HYJ_2019-09-21_final
2019-09-21 10:06:10	ga_s2am_ard_3-2-1_54HXJ_2019-09-21_final
2019-09-21 10:06:19	ga_s2am_ard_3-2-1_55HBC_2019-09-21_final
2019-09-21 10:06:20	ga_s2am_ard_3-2-1_54HYH_2019-09-21_final
2019-09-21 10:06:25	ga_s2am_ard_3-2-1_54HXH_2019-09-21_final
2019-09-21 10:06:28	ga_s2am_ard_3-2-1_54HWH_2019-09-21_final
2019-09-21 10:06:33	ga_s2am_ard_3-2-1_55HBB_2019-09-21_final
2019-09-21 10:06:34	ga_s2am_ard_3-2-1_54HVH_2019-09-21_final
2019-09-21 10:06:35	ga_s2am_ard_3-2-1_54HYG_2019-09-21_final
2019-09-21 10:06:43	ga_s2am_ard_3-2-1_54HWG_2019-09-21_final
2019-09-21 10:06:46	ga_s2am_ard_3-2-1_54HVG_2019-09-21_final
2019-09-21 10:06:53	ga_s2am_ard_3-2-1_54HXF_2019-09-21_final
2019-09-21 10:06:57	ga_s2am_ard_3-2-1_54HWF_2019-09-21_final
2019-09-21 10:07:00	ga_s2am_ard_3-2-1_54HVF_2019-09-21_final
2019-09-21 10:07:26	ga_s2am_ard_3-2-1_54HWD_2019-09-21_final

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

Other products

All years