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
2023-03-21 11:36:16	ga_s2am_ard_3-2-1_51JTF_2023-03-21_final.stac-item
2023-03-21 11:36:22	ga_s2am_ard_3-2-1_51HVE_2023-03-21_final.stac-item
2023-03-21 11:36:30	ga_s2am_ard_3-2-1_51HTE_2023-03-21_final.stac-item
2023-03-21 11:36:32	ga_s2am_ard_3-2-1_51HVD_2023-03-21_final.stac-item
2023-03-21 11:36:45	ga_s2am_ard_3-2-1_51HTD_2023-03-21_final.stac-item
2023-03-21 11:36:47	ga_s2am_ard_3-2-1_50HQJ_2023-03-21_final.stac-item
2023-03-21 11:36:59	ga_s2am_ard_3-2-1_51HTC_2023-03-21_final.stac-item
2023-03-21 11:37:01	ga_s2am_ard_3-2-1_50HQH_2023-03-21_final.stac-item
2023-03-21 11:37:11	ga_s2am_ard_3-2-1_51HUB_2023-03-21_final.stac-item
2023-03-21 11:37:19	ga_s2am_ard_3-2-1_50HPG_2023-03-21_final.stac-item
2023-03-21 11:37:23	ga_s2am_ard_3-2-1_51HUA_2023-03-21_nrt.stac-item
2023-03-21 11:37:29	ga_s2am_ard_3-2-1_51HUA_2023-03-21_nrt.stac-item
2023-03-21 11:37:30	ga_s2am_ard_3-2-1_50HQF_2023-03-21_nrt.stac-item
2023-03-21 11:37:30	ga_s2am_ard_3-2-1_51HTA_2023-03-21_nrt.stac-item
2023-03-21 11:37:30	ga_s2am_ard_3-2-1_50HPF_2023-03-21_nrt.stac-item
2023-03-21 11:37:32	ga_s2am_ard_3-2-1_51HUV_2023-03-21_nrt.stac-item
2023-03-22 09:22:39	ga_s2am_ard_3-2-1_56KPB_2023-03-21_final.stac-item
2023-03-22 09:22:52	ga_s2am_ard_3-2-1_56KPA_2023-03-21_nrt.stac-item
2023-03-22 09:23:06	ga_s2am_ard_3-2-1_56KPV_2023-03-21_nrt.stac-item
2023-03-22 09:23:21	ga_s2am_ard_3-2-1_56KPU_2023-03-21_nrt.stac-item
2023-03-22 09:23:25	ga_s2am_ard_3-2-1_56KNU_2023-03-21_final.stac-item
2023-03-22 09:24:08	ga_s2am_ard_3-2-1_56JNR_2023-03-21_final.stac-item
2023-03-22 09:24:33	ga_s2am_ard_3-2-1_56JPP_2023-03-21_nrt.stac-item
2023-03-22 09:24:36	ga_s2am_ard_3-2-1_56JNP_2023-03-21_final.stac-item
2023-03-22 09:24:48	ga_s2am_ard_3-2-1_56JPN_2023-03-21_nrt.stac-item
2023-03-22 09:25:16	ga_s2am_ard_3-2-1_56JPL_2023-03-21_nrt.stac-item
2023-03-22 09:25:20	ga_s2am_ard_3-2-1_56JNL_2023-03-21_final.stac-item
2023-03-22 09:25:24	ga_s2am_ard_3-2-1_56JML_2023-03-21_final.stac-item
2023-03-22 09:25:28	ga_s2am_ard_3-2-1_56JLL_2023-03-21_final.stac-item
2023-03-22 09:25:31	ga_s2am_ard_3-2-1_56HPK_2023-03-21_nrt.stac-item
2023-03-22 09:25:35	ga_s2am_ard_3-2-1_56HNK_2023-03-21_nrt.stac-item
2023-03-22 09:25:38	ga_s2am_ard_3-2-1_56HMK_2023-03-21_final.stac-item
2023-03-22 09:25:41	ga_s2am_ard_3-2-1_56HLK_2023-03-21_final.stac-item
2023-03-22 09:26:10	ga_s2am_ard_3-2-1_56HPG_2023-03-21_nrt.stac-item
2023-03-22 09:26:25	ga_s2am_ard_3-2-1_56HLG_2023-03-21_final.stac-item
2023-03-22 09:26:32	ga_s2am_ard_3-2-1_56HNF_2023-03-21_nrt.stac-item
2023-03-22 09:26:36	ga_s2am_ard_3-2-1_56HMF_2023-03-21_nrt.stac-item
2023-03-22 09:27:13	ga_s2am_ard_3-2-1_56HNC_2023-03-21_nrt.stac-item
2023-03-22 09:27:20	ga_s2am_ard_3-2-1_56HMC_2023-03-21_nrt.stac-item
2023-03-22 09:27:23	ga_s2am_ard_3-2-1_56HLC_2023-03-21_nrt.stac-item
2023-03-22 09:27:42	ga_s2am_ard_3-2-1_55HGS_2023-03-21_nrt.stac-item
2023-03-22 09:27:49	ga_s2am_ard_3-2-1_56GMA_2023-03-21_nrt.stac-item
2023-03-22 09:27:56	ga_s2am_ard_3-2-1_56GKA_2023-03-21_nrt.stac-item
2023-03-22 09:27:56	ga_s2am_ard_3-2-1_55GGR_2023-03-21_nrt.stac-item
2023-03-22 09:28:03	ga_s2am_ard_3-2-1_56GMV_2023-03-21_nrt.stac-item
2023-03-22 09:28:07	ga_s2am_ard_3-2-1_56GLV_2023-03-21_nrt.stac-item
2023-03-22 09:28:10	ga_s2am_ard_3-2-1_56GKV_2023-03-21_nrt.stac-item
2023-03-22 09:28:10	ga_s2am_ard_3-2-1_55GGQ_2023-03-21_nrt.stac-item
2023-03-22 09:28:14	ga_s2am_ard_3-2-1_55GFQ_2023-03-21_final.stac-item
2023-03-22 11:00:27	ga_s2am_ard_3-2-1_53LKH_2023-03-22_final.stac-item
2023-03-22 11:00:29	ga_s2am_ard_3-2-1_52LHN_2023-03-22_final.stac-item
2023-03-22 11:00:35	ga_s2am_ard_3-2-1_52LGN_2023-03-22_final.stac-item
2023-03-22 11:00:38	ga_s2am_ard_3-2-1_53LLG_2023-03-22_final.stac-item
2023-03-22 11:00:42	ga_s2am_ard_3-2-1_53LKG_2023-03-22_final.stac-item
2023-03-22 11:00:53	ga_s2am_ard_3-2-1_53LLF_2023-03-22_final.stac-item
2023-03-22 11:00:56	ga_s2am_ard_3-2-1_53LKF_2023-03-22_final.stac-item
2023-03-22 11:01:07	ga_s2am_ard_3-2-1_53LLE_2023-03-22_final.stac-item
2023-03-22 11:01:41	ga_s2am_ard_3-2-1_52LHH_2023-03-22_final.stac-item
2023-03-22 11:02:02	ga_s2am_ard_3-2-1_53KLA_2023-03-22_final.stac-item
2023-03-22 11:02:09	ga_s2am_ard_3-2-1_53KKA_2023-03-22_final.stac-item
2023-03-22 11:02:10	ga_s2am_ard_3-2-1_52KHF_2023-03-22_final.stac-item
2023-03-22 11:02:14	ga_s2am_ard_3-2-1_52KGF_2023-03-22_final.stac-item
2023-03-22 11:02:17	ga_s2am_ard_3-2-1_52KFF_2023-03-22_final.stac-item
2023-03-22 11:02:23	ga_s2am_ard_3-2-1_53KKV_2023-03-22_final.stac-item
2023-03-22 11:02:24	ga_s2am_ard_3-2-1_52KHE_2023-03-22_final.stac-item
2023-03-22 11:02:28	ga_s2am_ard_3-2-1_52KGE_2023-03-22_final.stac-item
2023-03-22 11:02:32	ga_s2am_ard_3-2-1_52KFE_2023-03-22_final.stac-item
2023-03-22 11:02:37	ga_s2am_ard_3-2-1_53KKU_2023-03-22_final.stac-item
2023-03-22 11:02:42	ga_s2am_ard_3-2-1_52KFD_2023-03-22_final.stac-item
2023-03-22 11:02:44	ga_s2am_ard_3-2-1_53KKT_2023-03-22_final.stac-item
2023-03-22 11:02:45	ga_s2am_ard_3-2-1_53KKU_2023-03-22_final.stac-item
2023-03-22 11:02:47	ga_s2am_ard_3-2-1_52KGD_2023-03-22_final.stac-item
2023-03-22 11:03:00	ga_s2am_ard_3-2-1_52KFC_2023-03-22_final.stac-item
2023-03-22 11:03:15	ga_s2am_ard_3-2-1_52KFB_2023-03-22_final.stac-item
2023-03-22 11:03:18	ga_s2am_ard_3-2-1_52KEB_2023-03-22_final.stac-item
2023-03-22 11:03:26	ga_s2am_ard_3-2-1_52KGA_2023-03-22_final.stac-item
2023-03-22 11:03:29	ga_s2am_ard_3-2-1_52KFA_2023-03-22_final.stac-item
2023-03-22 11:03:44	ga_s2am_ard_3-2-1_52KFV_2023-03-22_final.stac-item
2023-03-22 11:03:47	ga_s2am_ard_3-2-1_52KEV_2023-03-22_final.stac-item
2023-03-22 11:03:52	ga_s2am_ard_3-2-1_52KDV_2023-03-22_final.stac-item
2023-03-22 11:03:58	ga_s2am_ard_3-2-1_52KFU_2023-03-22_final.stac-item
2023-03-22 11:04:02	ga_s2am_ard_3-2-1_52KEU_2023-03-22_final.stac-item
2023-03-22 11:04:05	ga_s2am_ard_3-2-1_52KDU_2023-03-22_final.stac-item
2023-03-22 11:04:23	ga_s2am_ard_3-2-1_52JGS_2023-03-22_final.stac-item
2023-03-22 11:04:31	ga_s2am_ard_3-2-1_52JES_2023-03-22_final.stac-item
2023-03-22 11:04:46	ga_s2am_ard_3-2-1_52JER_2023-03-22_final.stac-item
2023-03-22 11:04:49	ga_s2am_ard_3-2-1_52JDR_2023-03-22_final.stac-item
2023-03-22 11:04:54	ga_s2am_ard_3-2-1_52JCR_2023-03-22_final.stac-item
2023-03-22 11:05:11	ga_s2am_ard_3-2-1_52JFP_2023-03-22_final.stac-item
2023-03-22 11:05:15	ga_s2am_ard_3-2-1_52JEP_2023-03-22_final.stac-item
2023-03-22 11:05:18	ga_s2am_ard_3-2-1_52JDP_2023-03-22_final.stac-item
2023-03-22 11:05:25	ga_s2am_ard_3-2-1_52JFN_2023-03-22_final.stac-item
2023-03-22 11:05:29	ga_s2am_ard_3-2-1_52JEN_2023-03-22_final.stac-item
2023-03-22 11:05:33	ga_s2am_ard_3-2-1_52JDN_2023-03-22_final.stac-item
2023-03-22 11:05:36	ga_s2am_ard_3-2-1_52JCN_2023-03-22_final.stac-item
2023-03-22 11:05:58	ga_s2am_ard_3-2-1_52JEL_2023-03-22_final.stac-item
2023-03-22 11:06:02	ga_s2am_ard_3-2-1_52JDL_2023-03-22_final.stac-item
2023-03-22 11:06:08	ga_s2am_ard_3-2-1_52JBL_2023-03-22_final.stac-item
2023-03-22 11:06:13	ga_s2am_ard_3-2-1_52HEK_2023-03-22_final.stac-item
2023-03-22 11:06:16	ga_s2am_ard_3-2-1_52HDK_2023-03-22_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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