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:

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First 100 results (query limit)

Time (local)	Label
2023-01-23 11:47:20	ga_s2am_ard_3-2-1_50HMG_2023-01-23_final.stac-item
2023-01-24 09:31:22	ga_s2am_ard_3-2-1_56KPG_2023-01-24_nrt.stac-item
2023-01-24 09:31:24	ga_s2am_ard_3-2-1_56KNG_2023-01-24_nrt.stac-item
2023-01-24 09:32:34	ga_s2am_ard_3-2-1_56KNB_2023-01-24_final.stac-item
2023-01-24 09:32:37	ga_s2am_ard_3-2-1_56KMB_2023-01-24_final.stac-item
2023-01-24 09:33:57	ga_s2am_ard_3-2-1_55JHM_2023-01-24_final.stac-item
2023-01-24 09:34:08	ga_s2am_ard_3-2-1_56JLR_2023-01-24_final.stac-item
2023-01-24 09:34:11	ga_s2am_ard_3-2-1_56JKR_2023-01-24_final.stac-item
2023-01-24 09:34:16	ga_s2am_ard_3-2-1_56JNQ_2023-01-24_final.stac-item
2023-01-24 09:34:19	ga_s2am_ard_3-2-1_56JMQ_2023-01-24_final.stac-item
2023-01-24 09:34:37	ga_s2am_ard_3-2-1_56JLP_2023-01-24_final.stac-item
2023-01-24 09:34:40	ga_s2am_ard_3-2-1_56JKP_2023-01-24_final.stac-item
2023-01-24 09:34:40	ga_s2am_ard_3-2-1_56JNN_2023-01-24_final.stac-item
2023-01-24 09:34:48	ga_s2am_ard_3-2-1_56JMN_2023-01-24_final.stac-item
2023-01-24 09:34:52	ga_s2am_ard_3-2-1_56JLN_2023-01-24_final.stac-item
2023-01-24 09:34:55	ga_s2am_ard_3-2-1_56JKN_2023-01-24_final.stac-item
2023-01-24 09:34:58	ga_s2am_ard_3-2-1_55JGH_2023-01-24_final.stac-item
2023-01-24 09:35:02	ga_s2am_ard_3-2-1_56JMM_2023-01-24_final.stac-item
2023-01-24 09:35:06	ga_s2am_ard_3-2-1_56JLM_2023-01-24_final.stac-item
2023-01-24 09:35:09	ga_s2am_ard_3-2-1_56JKM_2023-01-24_final.stac-item
2023-01-24 09:35:12	ga_s2am_ard_3-2-1_55JGG_2023-01-24_final.stac-item
2023-01-24 09:35:17	ga_s2am_ard_3-2-1_56JML_2023-01-24_final.stac-item
2023-01-24 09:35:32	ga_s2am_ard_3-2-1_56HMK_2023-01-24_final.stac-item
2023-01-24 09:35:35	ga_s2am_ard_3-2-1_56HLK_2023-01-24_final.stac-item
2023-01-24 09:35:46	ga_s2am_ard_3-2-1_55HFE_2023-01-24_final.stac-item
2023-01-24 09:35:53	ga_s2am_ard_3-2-1_56HKJ_2023-01-24_final.stac-item
2023-01-24 09:35:55	ga_s2am_ard_3-2-1_56HMH_2023-01-24_nrt.stac-item
2023-01-24 09:35:55	ga_s2am_ard_3-2-1_55HGD_2023-01-24_final.stac-item
2023-01-24 09:36:08	ga_s2am_ard_3-2-1_56HKH_2023-01-24_final.stac-item
2023-01-24 09:36:10	ga_s2am_ard_3-2-1_55HGC_2023-01-24_final.stac-item
2023-01-24 09:36:47	ga_s2am_ard_3-2-1_55HEA_2023-01-24_final.stac-item
2023-01-24 09:36:47	ga_s2am_ard_3-2-1_56HLE_2023-01-24_nrt.stac-item
2023-01-24 09:36:51	ga_s2am_ard_3-2-1_56HKE_2023-01-24_nrt.stac-item
2023-01-24 09:36:53	ga_s2am_ard_3-2-1_55HGV_2023-01-24_final.stac-item
2023-01-24 09:37:00	ga_s2am_ard_3-2-1_56HLD_2023-01-24_nrt.stac-item
2023-01-24 09:37:00	ga_s2am_ard_3-2-1_55HEV_2023-01-24_final.stac-item
2023-01-24 09:37:06	ga_s2am_ard_3-2-1_56HKD_2023-01-24_nrt.stac-item
2023-01-24 09:37:07	ga_s2am_ard_3-2-1_55HGU_2023-01-24_final.stac-item
2023-01-24 09:37:10	ga_s2am_ard_3-2-1_56HLC_2023-01-24_nrt.stac-item
2023-01-24 09:37:11	ga_s2am_ard_3-2-1_55HFU_2023-01-24_final.stac-item
2023-01-24 09:37:20	ga_s2am_ard_3-2-1_56HKC_2023-01-24_nrt.stac-item
2023-01-24 09:37:21	ga_s2am_ard_3-2-1_55HGT_2023-01-24_nrt.stac-item
2023-01-24 09:37:26	ga_s2am_ard_3-2-1_55HFT_2023-01-24_final.stac-item
2023-01-24 09:37:29	ga_s2am_ard_3-2-1_55HET_2023-01-24_final.stac-item
2023-01-24 09:37:36	ga_s2am_ard_3-2-1_55HDT_2023-01-24_final.stac-item
2023-01-24 09:38:04	ga_s2am_ard_3-2-1_56GKV_2023-01-24_nrt.stac-item
2023-01-24 09:38:04	ga_s2am_ard_3-2-1_55GGQ_2023-01-24_nrt.stac-item
2023-01-24 09:38:09	ga_s2am_ard_3-2-1_55GFQ_2023-01-24_final.stac-item
2023-01-24 09:38:13	ga_s2am_ard_3-2-1_55GEQ_2023-01-24_final.stac-item
2023-01-24 11:11:09	ga_s2am_ard_3-2-1_52LGK_2023-01-24_final.stac-item
2023-01-24 11:11:23	ga_s2am_ard_3-2-1_52LGJ_2023-01-24_final.stac-item
2023-01-24 11:11:27	ga_s2am_ard_3-2-1_52LFJ_2023-01-24_final.stac-item
2023-01-24 11:11:30	ga_s2am_ard_3-2-1_52LEJ_2023-01-24_final.stac-item
2023-01-24 11:11:33	ga_s2am_ard_3-2-1_52LDJ_2023-01-24_final.stac-item
2023-01-24 11:11:41	ga_s2am_ard_3-2-1_52LFH_2023-01-24_final.stac-item
2023-01-24 11:11:45	ga_s2am_ard_3-2-1_52LEH_2023-01-24_final.stac-item
2023-01-24 11:11:47	ga_s2am_ard_3-2-1_52KGG_2023-01-24_final.stac-item
2023-01-24 11:11:48	ga_s2am_ard_3-2-1_52LDH_2023-01-24_final.stac-item
2023-01-24 11:11:55	ga_s2am_ard_3-2-1_52KFG_2023-01-24_final.stac-item
2023-01-24 11:11:59	ga_s2am_ard_3-2-1_52KEG_2023-01-24_final.stac-item
2023-01-24 11:12:02	ga_s2am_ard_3-2-1_52KDG_2023-01-24_final.stac-item
2023-01-24 11:12:07	ga_s2am_ard_3-2-1_52KCG_2023-01-24_final.stac-item
2023-01-24 11:12:14	ga_s2am_ard_3-2-1_52KEF_2023-01-24_final.stac-item
2023-01-24 11:12:17	ga_s2am_ard_3-2-1_52KDF_2023-01-24_final.stac-item
2023-01-24 11:12:25	ga_s2am_ard_3-2-1_52KFE_2023-01-24_final.stac-item
2023-01-24 11:12:28	ga_s2am_ard_3-2-1_52KEE_2023-01-24_final.stac-item
2023-01-24 11:12:32	ga_s2am_ard_3-2-1_52KDE_2023-01-24_final.stac-item
2023-01-24 11:12:35	ga_s2am_ard_3-2-1_52KCE_2023-01-24_final.stac-item
2023-01-24 11:13:12	ga_s2am_ard_3-2-1_52KEB_2023-01-24_final.stac-item
2023-01-24 11:13:15	ga_s2am_ard_3-2-1_52KDB_2023-01-24_final.stac-item
2023-01-24 11:13:24	ga_s2am_ard_3-2-1_52KEA_2023-01-24_final.stac-item
2023-01-24 11:13:29	ga_s2am_ard_3-2-1_51KZR_2023-01-24_final.stac-item
2023-01-24 11:13:31	ga_s2am_ard_3-2-1_52KEA_2023-01-24_final.stac-item
2023-01-24 11:13:33	ga_s2am_ard_3-2-1_52KDA_2023-01-24_final.stac-item
2023-01-24 11:13:51	ga_s2am_ard_3-2-1_51KZQ_2023-01-24_final.stac-item
2023-01-24 11:13:51	ga_s2am_ard_3-2-1_52KBV_2023-01-24_final.stac-item
2023-01-24 11:14:02	ga_s2am_ard_3-2-1_52KCU_2023-01-24_final.stac-item
2023-01-24 11:14:04	ga_s2am_ard_3-2-1_52JET_2023-01-24_final.stac-item
2023-01-24 11:14:05	ga_s2am_ard_3-2-1_51KZP_2023-01-24_final.stac-item
2023-01-24 11:14:20	ga_s2am_ard_3-2-1_51JZN_2023-01-24_final.stac-item
2023-01-24 11:14:34	ga_s2am_ard_3-2-1_51JZM_2023-01-24_final.stac-item
2023-01-24 11:14:46	ga_s2am_ard_3-2-1_52JCR_2023-01-24_final.stac-item
2023-01-24 11:14:49	ga_s2am_ard_3-2-1_52JBR_2023-01-24_final.stac-item
2023-01-24 11:14:52	ga_s2am_ard_3-2-1_51JYL_2023-01-24_final.stac-item
2023-01-24 11:14:56	ga_s2am_ard_3-2-1_52JDQ_2023-01-24_final.stac-item
2023-01-24 11:15:09	ga_s2am_ard_3-2-1_52JDP_2023-01-24_final.stac-item
2023-01-24 11:15:21	ga_s2am_ard_3-2-1_51JYJ_2023-01-24_final.stac-item
2023-01-24 11:15:29	ga_s2am_ard_3-2-1_52JCN_2023-01-24_final.stac-item
2023-01-24 11:15:33	ga_s2am_ard_3-2-1_52JBN_2023-01-24_final.stac-item
2023-01-24 11:15:35	ga_s2am_ard_3-2-1_51JYH_2023-01-24_final.stac-item
2023-01-24 11:15:39	ga_s2am_ard_3-2-1_51JXH_2023-01-24_final.stac-item
2023-01-24 11:15:44	ga_s2am_ard_3-2-1_52JCM_2023-01-24_final.stac-item
2023-01-24 11:15:47	ga_s2am_ard_3-2-1_52JBM_2023-01-24_final.stac-item
2023-01-24 11:15:50	ga_s2am_ard_3-2-1_51JYG_2023-01-24_final.stac-item
2023-01-24 11:16:16	ga_s2am_ard_3-2-1_51JWF_2023-01-24_final.stac-item
2023-01-24 11:16:31	ga_s2am_ard_3-2-1_52HBJ_2023-01-24_nrt.stac-item
2023-01-24 11:16:33	ga_s2am_ard_3-2-1_51HYD_2023-01-24_final.stac-item
2023-01-24 11:16:40	ga_s2am_ard_3-2-1_51HWD_2023-01-24_final.stac-item
2023-01-24 11:16:45	ga_s2am_ard_3-2-1_52HBH_2023-01-24_nrt.stac-item
2023-01-24 11:16:48	ga_s2am_ard_3-2-1_51HYC_2023-01-24_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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