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
2023-12-20 11:10:46	ga_s2am_ard_3-2-1_52LEM_2023-12-20_final.stac-item
2023-12-20 11:10:53	ga_s2am_ard_3-2-1_52LDM_2023-12-20_nrt.stac-item
2023-12-20 11:11:08	ga_s2am_ard_3-2-1_52LGK_2023-12-20_final.stac-item
2023-12-20 11:11:23	ga_s2am_ard_3-2-1_52LGJ_2023-12-20_final.stac-item
2023-12-20 11:11:27	ga_s2am_ard_3-2-1_52LFJ_2023-12-20_final.stac-item
2023-12-20 11:11:41	ga_s2am_ard_3-2-1_52LFH_2023-12-20_final.stac-item
2023-12-20 11:11:48	ga_s2am_ard_3-2-1_52LDH_2023-12-20_final.stac-item
2023-12-20 11:12:13	ga_s2am_ard_3-2-1_52KEF_2023-12-20_final.stac-item
2023-12-20 11:12:17	ga_s2am_ard_3-2-1_52KDF_2023-12-20_final.stac-item
2023-12-20 11:12:24	ga_s2am_ard_3-2-1_52KFE_2023-12-20_final.stac-item
2023-12-20 11:12:28	ga_s2am_ard_3-2-1_52KEE_2023-12-20_final.stac-item
2023-12-20 11:12:31	ga_s2am_ard_3-2-1_52KDE_2023-12-20_final.stac-item
2023-12-20 11:12:34	ga_s2am_ard_3-2-1_52KCE_2023-12-20_final.stac-item
2023-12-20 11:13:50	ga_s2am_ard_3-2-1_52KBV_2023-12-20_final.stac-item
2023-12-20 11:14:05	ga_s2am_ard_3-2-1_52KBU_2023-12-20_final.stac-item
2023-12-20 11:14:13	ga_s2am_ard_3-2-1_52JDT_2023-12-20_final.stac-item
2023-12-20 11:14:25	ga_s2am_ard_3-2-1_51JYN_2023-12-20_final.stac-item
2023-12-20 11:15:00	ga_s2am_ard_3-2-1_52JCQ_2023-12-20_final.stac-item
2023-12-20 11:15:03	ga_s2am_ard_3-2-1_52JBQ_2023-12-20_final.stac-item
2023-12-20 11:15:06	ga_s2am_ard_3-2-1_51JYK_2023-12-20_final.stac-item
2023-12-20 11:15:14	ga_s2am_ard_3-2-1_52JCP_2023-12-20_final.stac-item
2023-12-20 11:15:18	ga_s2am_ard_3-2-1_52JBP_2023-12-20_final.stac-item
2023-12-20 11:15:29	ga_s2am_ard_3-2-1_52JCN_2023-12-20_final.stac-item
2023-12-20 11:15:33	ga_s2am_ard_3-2-1_52JBN_2023-12-20_final.stac-item
2023-12-20 11:15:39	ga_s2am_ard_3-2-1_51JXH_2023-12-20_final.stac-item
2023-12-20 11:15:44	ga_s2am_ard_3-2-1_52JCM_2023-12-20_final.stac-item
2023-12-20 11:15:47	ga_s2am_ard_3-2-1_52JBM_2023-12-20_final.stac-item
2023-12-20 11:15:50	ga_s2am_ard_3-2-1_51JYG_2023-12-20_final.stac-item
2023-12-20 11:15:53	ga_s2am_ard_3-2-1_51JXG_2023-12-20_final.stac-item
2023-12-20 11:16:02	ga_s2am_ard_3-2-1_52JBL_2023-12-20_final.stac-item
2023-12-20 11:16:04	ga_s2am_ard_3-2-1_51JYF_2023-12-20_final.stac-item
2023-12-20 11:16:08	ga_s2am_ard_3-2-1_51JXF_2023-12-20_final.stac-item
2023-12-20 11:16:12	ga_s2am_ard_3-2-1_52HCK_2023-12-20_final.stac-item
2023-12-20 11:16:16	ga_s2am_ard_3-2-1_51JWF_2023-12-20_final.stac-item
2023-12-20 11:16:16	ga_s2am_ard_3-2-1_52HBK_2023-12-20_final.stac-item
2023-12-20 11:16:19	ga_s2am_ard_3-2-1_51HYE_2023-12-20_final.stac-item
2023-12-20 11:16:22	ga_s2am_ard_3-2-1_51HXE_2023-12-20_final.stac-item
2023-12-20 11:16:24	ga_s2am_ard_3-2-1_52HCJ_2023-12-20_nrt.stac-item
2023-12-20 11:16:27	ga_s2am_ard_3-2-1_51HWE_2023-12-20_final.stac-item
2023-12-20 11:16:30	ga_s2am_ard_3-2-1_52HBJ_2023-12-20_final.stac-item
2023-12-20 11:16:33	ga_s2am_ard_3-2-1_51HYD_2023-12-20_final.stac-item
2023-12-20 11:16:37	ga_s2am_ard_3-2-1_51HXD_2023-12-20_final.stac-item
2023-12-20 11:16:40	ga_s2am_ard_3-2-1_51HWD_2023-12-20_final.stac-item
2023-12-20 11:16:45	ga_s2am_ard_3-2-1_52HBH_2023-12-20_nrt.stac-item
2023-12-20 11:16:47	ga_s2am_ard_3-2-1_51HYC_2023-12-20_nrt.stac-item
2023-12-20 11:16:51	ga_s2am_ard_3-2-1_51HXC_2023-12-20_final.stac-item
2023-12-20 11:16:55	ga_s2am_ard_3-2-1_51HWC_2023-12-20_final.stac-item
2023-12-20 11:16:58	ga_s2am_ard_3-2-1_52HBG_2023-12-20_nrt.stac-item
2023-12-20 11:16:59	ga_s2am_ard_3-2-1_51HYB_2023-12-20_nrt.stac-item
2023-12-20 11:17:01	ga_s2am_ard_3-2-1_51HXB_2023-12-20_final.stac-item
2023-12-20 11:17:02	ga_s2am_ard_3-2-1_51HWB_2023-12-20_final.stac-item
2023-12-21 09:05:06	ga_s2am_ard_3-2-1_57JWF_2023-12-20_final.stac-item
2023-12-21 09:05:10	ga_s2am_ard_3-2-1_57JVF_2023-12-20_final.stac-item
2023-12-21 10:40:56	ga_s2am_ard_3-2-1_54LTK_2023-12-21_nrt.stac-item
2023-12-21 10:40:58	ga_s2am_ard_3-2-1_53LRE_2023-12-21_nrt.stac-item
2023-12-21 10:41:01	ga_s2am_ard_3-2-1_53LQE_2023-12-21_final.stac-item
2023-12-21 10:41:11	ga_s2am_ard_3-2-1_54LTJ_2023-12-21_nrt.stac-item
2023-12-21 10:41:12	ga_s2am_ard_3-2-1_53LRD_2023-12-21_nrt.stac-item
2023-12-21 10:41:16	ga_s2am_ard_3-2-1_53LQD_2023-12-21_final.stac-item
2023-12-21 10:41:19	ga_s2am_ard_3-2-1_53LPD_2023-12-21_final.stac-item
2023-12-21 10:41:26	ga_s2am_ard_3-2-1_53LND_2023-12-21_final.stac-item
2023-12-21 10:41:34	ga_s2am_ard_3-2-1_53LPC_2023-12-21_final.stac-item
2023-12-21 10:41:38	ga_s2am_ard_3-2-1_53LNC_2023-12-21_final.stac-item
2023-12-21 10:42:06	ga_s2am_ard_3-2-1_53KNA_2023-12-21_final.stac-item
2023-12-21 10:42:17	ga_s2am_ard_3-2-1_53KPV_2023-12-21_final.stac-item
2023-12-21 10:42:21	ga_s2am_ard_3-2-1_53KNV_2023-12-21_final.stac-item
2023-12-21 10:43:21	ga_s2am_ard_3-2-1_53KQQ_2023-12-21_final.stac-item
2023-12-21 10:43:43	ga_s2am_ard_3-2-1_53KPP_2023-12-21_final.stac-item
2023-12-21 10:43:48	ga_s2am_ard_3-2-1_53KLP_2023-12-21_final.stac-item
2023-12-21 10:44:06	ga_s2am_ard_3-2-1_53JMN_2023-12-21_final.stac-item
2023-12-21 10:44:53	ga_s2am_ard_3-2-1_53JLK_2023-12-21_final.stac-item
2023-12-21 10:44:56	ga_s2am_ard_3-2-1_53JKK_2023-12-21_final.stac-item
2023-12-21 10:45:10	ga_s2am_ard_3-2-1_53JKJ_2023-12-21_final.stac-item
2023-12-21 10:45:15	ga_s2am_ard_3-2-1_53JNH_2023-12-21_final.stac-item
2023-12-21 10:45:18	ga_s2am_ard_3-2-1_53JMH_2023-12-21_final.stac-item
2023-12-21 10:45:22	ga_s2am_ard_3-2-1_53JLH_2023-12-21_final.stac-item
2023-12-21 10:45:25	ga_s2am_ard_3-2-1_53JKH_2023-12-21_final.stac-item
2023-12-21 10:45:36	ga_s2am_ard_3-2-1_53JLG_2023-12-21_final.stac-item
2023-12-21 10:45:38	ga_s2am_ard_3-2-1_53JNF_2023-12-21_final.stac-item
2023-12-21 10:45:40	ga_s2am_ard_3-2-1_53JKG_2023-12-21_final.stac-item
2023-12-21 10:45:43	ga_s2am_ard_3-2-1_52JGM_2023-12-21_final.stac-item
2023-12-21 10:45:46	ga_s2am_ard_3-2-1_53JMF_2023-12-21_final.stac-item
2023-12-21 10:45:48	ga_s2am_ard_3-2-1_53JLF_2023-12-21_final.stac-item
2023-12-21 10:45:49	ga_s2am_ard_3-2-1_53JKF_2023-12-21_final.stac-item
2023-12-21 10:45:50	ga_s2am_ard_3-2-1_52JGL_2023-12-21_final.stac-item
2023-12-21 10:45:53	ga_s2am_ard_3-2-1_53JMF_2023-12-21_final.stac-item
2023-12-21 10:45:55	ga_s2am_ard_3-2-1_53JLF_2023-12-21_final.stac-item
2023-12-21 10:45:56	ga_s2am_ard_3-2-1_53JKF_2023-12-21_final.stac-item
2023-12-21 10:45:57	ga_s2am_ard_3-2-1_52JGL_2023-12-21_final.stac-item
2023-12-21 10:46:05	ga_s2am_ard_3-2-1_53HLE_2023-12-21_final.stac-item
2023-12-21 10:46:09	ga_s2am_ard_3-2-1_53HKE_2023-12-21_final.stac-item
2023-12-21 10:46:11	ga_s2am_ard_3-2-1_52HGK_2023-12-21_final.stac-item
2023-12-21 10:46:17	ga_s2am_ard_3-2-1_53HMD_2023-12-21_final.stac-item
2023-12-21 10:46:20	ga_s2am_ard_3-2-1_53HLD_2023-12-21_final.stac-item
2023-12-21 10:46:23	ga_s2am_ard_3-2-1_53HKD_2023-12-21_final.stac-item
2023-12-21 10:46:25	ga_s2am_ard_3-2-1_52HGJ_2023-12-21_nrt.stac-item
2023-12-21 10:46:28	ga_s2am_ard_3-2-1_53HMC_2023-12-21_final.stac-item
2023-12-21 10:46:30	ga_s2am_ard_3-2-1_53HLC_2023-12-21_final.stac-item
2023-12-21 10:46:31	ga_s2am_ard_3-2-1_52HFJ_2023-12-21_nrt.stac-item
2023-12-21 10:46:31	ga_s2am_ard_3-2-1_53HKC_2023-12-21_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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