Search ga_s2bm_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
2023-04-28 11:42:29	ga_s2bm_ard_3-2-1_51KVA_2023-04-28_final.stac-item
2023-04-28 11:42:33	ga_s2bm_ard_3-2-1_51KUA_2023-04-28_final.stac-item
2023-04-28 11:42:36	ga_s2bm_ard_3-2-1_51KTA_2023-04-28_nrt.stac-item
2023-04-28 11:42:36	ga_s2bm_ard_3-2-1_50KRF_2023-04-28_nrt.stac-item
2023-04-28 11:43:35	ga_s2bm_ard_3-2-1_50KRB_2023-04-28_final.stac-item
2023-04-28 11:43:49	ga_s2bm_ard_3-2-1_50KRA_2023-04-28_final.stac-item
2023-04-28 11:44:03	ga_s2bm_ard_3-2-1_51KTQ_2023-04-28_final.stac-item
2023-04-28 11:44:03	ga_s2bm_ard_3-2-1_50KRV_2023-04-28_final.stac-item
2023-04-28 11:44:15	ga_s2bm_ard_3-2-1_51KUP_2023-04-28_final.stac-item
2023-04-28 11:44:25	ga_s2bm_ard_3-2-1_50KPU_2023-04-28_final.stac-item
2023-04-28 11:44:32	ga_s2bm_ard_3-2-1_50JRT_2023-04-28_final.stac-item
2023-04-28 11:44:46	ga_s2bm_ard_3-2-1_50JRS_2023-04-28_final.stac-item
2023-04-28 11:45:01	ga_s2bm_ard_3-2-1_50JPS_2023-04-28_final.stac-item
2023-04-28 11:45:01	ga_s2bm_ard_3-2-1_50JPR_2023-04-28_final.stac-item
2023-04-28 11:45:05	ga_s2bm_ard_3-2-1_51JTL_2023-04-28_final.stac-item
2023-04-28 11:45:06	ga_s2bm_ard_3-2-1_50JQR_2023-04-28_final.stac-item
2023-04-28 11:45:08	ga_s2bm_ard_3-2-1_50JPR_2023-04-28_final.stac-item
2023-04-28 11:45:13	ga_s2bm_ard_3-2-1_50JNR_2023-04-28_final.stac-item
2023-04-28 11:45:16	ga_s2bm_ard_3-2-1_51JTK_2023-04-28_final.stac-item
2023-04-28 11:45:19	ga_s2bm_ard_3-2-1_50JQQ_2023-04-28_final.stac-item
2023-04-28 11:45:31	ga_s2bm_ard_3-2-1_51JTJ_2023-04-28_final.stac-item
2023-04-28 11:45:34	ga_s2bm_ard_3-2-1_50JQP_2023-04-28_final.stac-item
2023-04-28 11:45:37	ga_s2bm_ard_3-2-1_50JPP_2023-04-28_final.stac-item
2023-04-28 11:46:10	ga_s2bm_ard_3-2-1_50JNM_2023-04-28_final.stac-item
2023-04-28 11:46:14	ga_s2bm_ard_3-2-1_50JMM_2023-04-28_final.stac-item
2023-04-28 11:46:21	ga_s2bm_ard_3-2-1_50JPL_2023-04-28_final.stac-item
2023-04-28 11:46:24	ga_s2bm_ard_3-2-1_50JNL_2023-04-28_final.stac-item
2023-04-28 11:46:28	ga_s2bm_ard_3-2-1_50JML_2023-04-28_final.stac-item
2023-04-28 11:46:31	ga_s2bm_ard_3-2-1_50HQK_2023-04-28_final.stac-item
2023-04-28 11:46:39	ga_s2bm_ard_3-2-1_50HNK_2023-04-28_final.stac-item
2023-04-28 11:47:18	ga_s2bm_ard_3-2-1_50HPG_2023-04-28_final.stac-item
2023-04-28 11:47:22	ga_s2bm_ard_3-2-1_50HNG_2023-04-28_final.stac-item
2023-04-28 11:47:26	ga_s2bm_ard_3-2-1_50HMG_2023-04-28_final.stac-item
2023-04-28 11:47:29	ga_s2bm_ard_3-2-1_50HLG_2023-04-28_final.stac-item
2023-04-28 11:47:31	ga_s2bm_ard_3-2-1_50HPF_2023-04-28_nrt.stac-item
2023-04-28 11:47:33	ga_s2bm_ard_3-2-1_50HNF_2023-04-28_nrt.stac-item
2023-04-28 11:47:35	ga_s2bm_ard_3-2-1_50HMF_2023-04-28_nrt.stac-item
2023-04-28 11:47:36	ga_s2bm_ard_3-2-1_50HLF_2023-04-28_nrt.stac-item
2023-04-29 09:31:34	ga_s2bm_ard_3-2-1_56KPF_2023-04-29_nrt.stac-item
2023-04-29 09:31:35	ga_s2bm_ard_3-2-1_56KNF_2023-04-29_nrt.stac-item
2023-04-29 09:33:08	ga_s2bm_ard_3-2-1_56KNV_2023-04-29_nrt.stac-item
2023-04-29 09:33:12	ga_s2bm_ard_3-2-1_56KMV_2023-04-29_nrt.stac-item
2023-04-29 09:33:19	ga_s2bm_ard_3-2-1_56KPU_2023-04-29_nrt.stac-item
2023-04-29 09:33:41	ga_s2bm_ard_3-2-1_56JMT_2023-04-29_final.stac-item
2023-04-29 09:34:06	ga_s2bm_ard_3-2-1_56JNR_2023-04-29_final.stac-item
2023-04-29 09:34:10	ga_s2bm_ard_3-2-1_56JMR_2023-04-29_final.stac-item
2023-04-29 09:34:13	ga_s2bm_ard_3-2-1_56JLR_2023-04-29_final.stac-item
2023-04-29 09:34:31	ga_s2bm_ard_3-2-1_56JKQ_2023-04-29_final.stac-item
2023-04-29 09:34:46	ga_s2bm_ard_3-2-1_56JKP_2023-04-29_final.stac-item
2023-04-29 09:35:08	ga_s2bm_ard_3-2-1_56JMM_2023-04-29_final.stac-item
2023-04-29 09:35:23	ga_s2bm_ard_3-2-1_56JML_2023-04-29_final.stac-item
2023-04-29 09:35:44	ga_s2bm_ard_3-2-1_56HKK_2023-04-29_final.stac-item
2023-04-29 09:35:46	ga_s2bm_ard_3-2-1_55HGE_2023-04-29_final.stac-item
2023-04-29 09:36:15	ga_s2bm_ard_3-2-1_55HGC_2023-04-29_final.stac-item
2023-04-29 09:36:24	ga_s2bm_ard_3-2-1_56HLG_2023-04-29_final.stac-item
2023-04-29 09:36:28	ga_s2bm_ard_3-2-1_56HKG_2023-04-29_final.stac-item
2023-04-29 09:36:29	ga_s2bm_ard_3-2-1_55HGB_2023-04-29_final.stac-item
2023-04-29 09:36:33	ga_s2bm_ard_3-2-1_55HFB_2023-04-29_final.stac-item
2023-04-29 09:36:39	ga_s2bm_ard_3-2-1_56HLF_2023-04-29_nrt.stac-item
2023-04-29 09:36:42	ga_s2bm_ard_3-2-1_56HKF_2023-04-29_final.stac-item
2023-04-29 09:36:44	ga_s2bm_ard_3-2-1_55HGA_2023-04-29_final.stac-item
2023-04-29 09:36:48	ga_s2bm_ard_3-2-1_55HFA_2023-04-29_final.stac-item
2023-04-29 09:36:52	ga_s2bm_ard_3-2-1_55HEA_2023-04-29_final.stac-item
2023-04-29 09:36:53	ga_s2bm_ard_3-2-1_56HLE_2023-04-29_nrt.stac-item
2023-04-29 09:36:58	ga_s2bm_ard_3-2-1_55HGV_2023-04-29_final.stac-item
2023-04-29 09:37:02	ga_s2bm_ard_3-2-1_55HFV_2023-04-29_final.stac-item
2023-04-29 09:37:05	ga_s2bm_ard_3-2-1_56HLD_2023-04-29_nrt.stac-item
2023-04-29 09:37:11	ga_s2bm_ard_3-2-1_56HKD_2023-04-29_nrt.stac-item
2023-04-29 09:37:12	ga_s2bm_ard_3-2-1_55HGU_2023-04-29_final.stac-item
2023-04-29 09:37:16	ga_s2bm_ard_3-2-1_55HFU_2023-04-29_final.stac-item
2023-04-29 09:37:20	ga_s2bm_ard_3-2-1_55HEU_2023-04-29_final.stac-item
2023-04-29 09:37:45	ga_s2bm_ard_3-2-1_55HFS_2023-04-29_final.stac-item
2023-04-29 11:12:15	ga_s2bm_ard_3-2-1_52KFF_2023-04-29_final.stac-item
2023-04-29 11:12:19	ga_s2bm_ard_3-2-1_52KEF_2023-04-29_final.stac-item
2023-04-29 11:12:22	ga_s2bm_ard_3-2-1_52KDF_2023-04-29_final.stac-item
2023-04-29 11:12:25	ga_s2bm_ard_3-2-1_52KCF_2023-04-29_final.stac-item
2023-04-29 11:13:42	ga_s2bm_ard_3-2-1_51KZR_2023-04-29_final.stac-item
2023-04-29 11:13:56	ga_s2bm_ard_3-2-1_51KZQ_2023-04-29_final.stac-item
2023-04-29 11:13:56	ga_s2bm_ard_3-2-1_52KBV_2023-04-29_final.stac-item
2023-04-29 11:14:18	ga_s2bm_ard_3-2-1_52JDT_2023-04-29_final.stac-item
2023-04-29 11:14:25	ga_s2bm_ard_3-2-1_51JZN_2023-04-29_final.stac-item
2023-04-29 11:14:31	ga_s2bm_ard_3-2-1_51JYN_2023-04-29_final.stac-item
2023-04-29 11:14:33	ga_s2bm_ard_3-2-1_52JDS_2023-04-29_final.stac-item
2023-04-29 11:14:39	ga_s2bm_ard_3-2-1_51JZM_2023-04-29_final.stac-item
2023-04-29 11:14:48	ga_s2bm_ard_3-2-1_52JDR_2023-04-29_final.stac-item
2023-04-29 11:14:51	ga_s2bm_ard_3-2-1_52JCR_2023-04-29_final.stac-item
2023-04-29 11:15:08	ga_s2bm_ard_3-2-1_52JBQ_2023-04-29_final.stac-item
2023-04-29 11:15:10	ga_s2bm_ard_3-2-1_51JYK_2023-04-29_final.stac-item
2023-04-29 11:15:12	ga_s2bm_ard_3-2-1_52JDP_2023-04-29_final.stac-item
2023-04-29 11:15:14	ga_s2bm_ard_3-2-1_52JCP_2023-04-29_final.stac-item
2023-04-29 11:15:16	ga_s2bm_ard_3-2-1_52JDP_2023-04-29_final.stac-item
2023-04-29 11:15:21	ga_s2bm_ard_3-2-1_52JCP_2023-04-29_final.stac-item
2023-04-29 11:15:26	ga_s2bm_ard_3-2-1_51JYJ_2023-04-29_final.stac-item
2023-04-29 11:16:14	ga_s2bm_ard_3-2-1_51JXF_2023-04-29_final.stac-item
2023-04-29 11:16:22	ga_s2bm_ard_3-2-1_52HBK_2023-04-29_final.stac-item
2023-04-29 11:16:24	ga_s2bm_ard_3-2-1_51HYE_2023-04-29_final.stac-item
2023-04-29 11:16:51	ga_s2bm_ard_3-2-1_52HBH_2023-04-29_nrt.stac-item
2023-04-29 11:17:04	ga_s2bm_ard_3-2-1_52HBG_2023-04-29_nrt.stac-item
2023-04-29 11:17:05	ga_s2bm_ard_3-2-1_51HYB_2023-04-29_nrt.stac-item
2023-04-29 11:17:07	ga_s2bm_ard_3-2-1_51HXB_2023-04-29_final.stac-item

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

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