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:

Add field

First 100 results (query limit)

Time (local)	Label
2023-05-28 10:06:08	ga_s2bm_ard_3-2-1_55HBD_2023-05-28_final.stac-item
2023-05-28 10:06:11	ga_s2bm_ard_3-2-1_54HYJ_2023-05-28_final.stac-item
2023-05-28 10:06:14	ga_s2bm_ard_3-2-1_54HXJ_2023-05-28_final.stac-item
2023-05-28 10:06:25	ga_s2bm_ard_3-2-1_54HYH_2023-05-28_final.stac-item
2023-05-28 10:06:33	ga_s2bm_ard_3-2-1_54HWH_2023-05-28_final.stac-item
2023-05-28 10:06:37	ga_s2bm_ard_3-2-1_55HBB_2023-05-28_final.stac-item
2023-05-28 10:06:38	ga_s2bm_ard_3-2-1_54HVH_2023-05-28_final.stac-item
2023-05-28 10:06:47	ga_s2bm_ard_3-2-1_54HWG_2023-05-28_final.stac-item
2023-05-28 10:06:50	ga_s2bm_ard_3-2-1_54HVG_2023-05-28_final.stac-item
2023-05-28 10:07:08	ga_s2bm_ard_3-2-1_54HYE_2023-05-28_final.stac-item
2023-05-28 10:07:12	ga_s2bm_ard_3-2-1_54HXE_2023-05-28_final.stac-item
2023-05-28 10:07:16	ga_s2bm_ard_3-2-1_54HWE_2023-05-28_final.stac-item
2023-05-28 10:07:20	ga_s2bm_ard_3-2-1_54HVE_2023-05-28_final.stac-item
2023-05-28 11:41:11	ga_s2bm_ard_3-2-1_51LXF_2023-05-28_nrt.stac-item
2023-05-28 11:41:23	ga_s2bm_ard_3-2-1_51LUF_2023-05-28_final.stac-item
2023-05-28 11:41:45	ga_s2bm_ard_3-2-1_51LWD_2023-05-28_nrt.stac-item
2023-05-28 11:42:06	ga_s2bm_ard_3-2-1_51LUC_2023-05-28_final.stac-item
2023-05-28 11:42:09	ga_s2bm_ard_3-2-1_51LTC_2023-05-28_nrt.stac-item
2023-05-28 11:42:12	ga_s2bm_ard_3-2-1_50LRH_2023-05-28_nrt.stac-item
2023-05-28 11:42:14	ga_s2bm_ard_3-2-1_51KWB_2023-05-28_final.stac-item
2023-05-28 11:42:18	ga_s2bm_ard_3-2-1_51KVB_2023-05-28_final.stac-item
2023-05-28 11:42:21	ga_s2bm_ard_3-2-1_51KUB_2023-05-28_final.stac-item
2023-05-28 11:42:24	ga_s2bm_ard_3-2-1_51KTB_2023-05-28_nrt.stac-item
2023-05-28 11:42:25	ga_s2bm_ard_3-2-1_50KRG_2023-05-28_nrt.stac-item
2023-05-28 11:42:32	ga_s2bm_ard_3-2-1_51KVA_2023-05-28_final.stac-item
2023-05-28 11:42:39	ga_s2bm_ard_3-2-1_50KRF_2023-05-28_nrt.stac-item
2023-05-28 11:42:50	ga_s2bm_ard_3-2-1_51KUV_2023-05-28_final.stac-item
2023-05-28 11:43:01	ga_s2bm_ard_3-2-1_51KVU_2023-05-28_final.stac-item
2023-05-28 11:43:05	ga_s2bm_ard_3-2-1_51KUU_2023-05-28_final.stac-item
2023-05-28 11:43:08	ga_s2bm_ard_3-2-1_50KRD_2023-05-28_final.stac-item
2023-05-28 11:43:23	ga_s2bm_ard_3-2-1_50KRC_2023-05-28_final.stac-item
2023-05-28 11:43:29	ga_s2bm_ard_3-2-1_51KVS_2023-05-28_final.stac-item
2023-05-28 11:43:34	ga_s2bm_ard_3-2-1_51KUS_2023-05-28_final.stac-item
2023-05-28 11:43:52	ga_s2bm_ard_3-2-1_51KTR_2023-05-28_final.stac-item
2023-05-28 11:43:52	ga_s2bm_ard_3-2-1_50KRA_2023-05-28_final.stac-item
2023-05-28 11:43:55	ga_s2bm_ard_3-2-1_50KQA_2023-05-28_final.stac-item
2023-05-28 11:44:06	ga_s2bm_ard_3-2-1_51KTQ_2023-05-28_final.stac-item
2023-05-28 11:44:17	ga_s2bm_ard_3-2-1_51KUP_2023-05-28_final.stac-item
2023-05-28 11:44:21	ga_s2bm_ard_3-2-1_50KRU_2023-05-28_final.stac-item
2023-05-28 11:44:21	ga_s2bm_ard_3-2-1_51KTP_2023-05-28_final.stac-item
2023-05-28 11:44:24	ga_s2bm_ard_3-2-1_50KQU_2023-05-28_final.stac-item
2023-05-28 11:44:27	ga_s2bm_ard_3-2-1_50KPU_2023-05-28_final.stac-item
2023-05-28 11:44:32	ga_s2bm_ard_3-2-1_51JUN_2023-05-28_final.stac-item
2023-05-28 11:44:35	ga_s2bm_ard_3-2-1_51JTN_2023-05-28_final.stac-item
2023-05-28 11:44:39	ga_s2bm_ard_3-2-1_50JQT_2023-05-28_final.stac-item
2023-05-28 11:44:42	ga_s2bm_ard_3-2-1_50JPT_2023-05-28_final.stac-item
2023-05-28 11:44:45	ga_s2bm_ard_3-2-1_51JUM_2023-05-28_final.stac-item
2023-05-28 11:44:49	ga_s2bm_ard_3-2-1_50JRS_2023-05-28_final.stac-item
2023-05-28 11:44:50	ga_s2bm_ard_3-2-1_51JTM_2023-05-28_final.stac-item
2023-05-28 11:44:53	ga_s2bm_ard_3-2-1_50JQS_2023-05-28_final.stac-item
2023-05-28 11:44:57	ga_s2bm_ard_3-2-1_50JPS_2023-05-28_final.stac-item
2023-05-28 11:46:27	ga_s2bm_ard_3-2-1_50JNL_2023-05-28_final.stac-item
2023-05-28 11:46:30	ga_s2bm_ard_3-2-1_50JML_2023-05-28_final.stac-item
2023-05-28 11:46:47	ga_s2bm_ard_3-2-1_50HQJ_2023-05-28_final.stac-item
2023-05-28 11:46:52	ga_s2bm_ard_3-2-1_50HPJ_2023-05-28_final.stac-item
2023-05-28 11:47:11	ga_s2bm_ard_3-2-1_50HNH_2023-05-28_final.stac-item
2023-05-28 11:47:14	ga_s2bm_ard_3-2-1_50HMH_2023-05-28_final.stac-item
2023-05-28 11:47:25	ga_s2bm_ard_3-2-1_50HNG_2023-05-28_final.stac-item
2023-05-28 11:47:28	ga_s2bm_ard_3-2-1_50HMG_2023-05-28_final.stac-item
2023-05-29 09:31:30	ga_s2bm_ard_3-2-1_56KPG_2023-05-29_nrt.stac-item
2023-05-29 09:31:32	ga_s2bm_ard_3-2-1_56KNG_2023-05-29_nrt.stac-item
2023-05-29 09:31:35	ga_s2bm_ard_3-2-1_56KPF_2023-05-29_nrt.stac-item
2023-05-29 09:32:32	ga_s2bm_ard_3-2-1_56KNC_2023-05-29_nrt.stac-item
2023-05-29 09:32:34	ga_s2bm_ard_3-2-1_56KMC_2023-05-29_nrt.stac-item
2023-05-29 09:32:38	ga_s2bm_ard_3-2-1_56KPB_2023-05-29_final.stac-item
2023-05-29 09:32:42	ga_s2bm_ard_3-2-1_56KNB_2023-05-29_final.stac-item
2023-05-29 09:32:45	ga_s2bm_ard_3-2-1_56KMB_2023-05-29_final.stac-item
2023-05-29 09:32:51	ga_s2bm_ard_3-2-1_56KLB_2023-05-29_final.stac-item
2023-05-29 09:32:56	ga_s2bm_ard_3-2-1_56KNA_2023-05-29_final.stac-item
2023-05-29 09:33:00	ga_s2bm_ard_3-2-1_56KMA_2023-05-29_final.stac-item
2023-05-29 09:33:03	ga_s2bm_ard_3-2-1_56KLA_2023-05-29_final.stac-item
2023-05-29 09:33:22	ga_s2bm_ard_3-2-1_56KPU_2023-05-29_nrt.stac-item
2023-05-29 09:33:32	ga_s2bm_ard_3-2-1_56KLU_2023-05-29_final.stac-item
2023-05-29 09:33:34	ga_s2bm_ard_3-2-1_56JPT_2023-05-29_nrt.stac-item
2023-05-29 09:33:40	ga_s2bm_ard_3-2-1_56JNT_2023-05-29_final.stac-item
2023-05-29 09:33:43	ga_s2bm_ard_3-2-1_56JMT_2023-05-29_final.stac-item
2023-05-29 09:33:44	ga_s2bm_ard_3-2-1_56JPS_2023-05-29_nrt.stac-item
2023-05-29 09:33:47	ga_s2bm_ard_3-2-1_56JLT_2023-05-29_final.stac-item
2023-05-29 09:33:54	ga_s2bm_ard_3-2-1_56JKT_2023-05-29_final.stac-item
2023-05-29 09:33:54	ga_s2bm_ard_3-2-1_56JNS_2023-05-29_final.stac-item
2023-05-29 09:33:58	ga_s2bm_ard_3-2-1_56JMS_2023-05-29_final.stac-item
2023-05-29 09:34:01	ga_s2bm_ard_3-2-1_56JLS_2023-05-29_final.stac-item
2023-05-29 09:34:05	ga_s2bm_ard_3-2-1_55JHM_2023-05-29_final.stac-item
2023-05-29 09:34:05	ga_s2bm_ard_3-2-1_56JKS_2023-05-29_final.stac-item
2023-05-29 09:35:32	ga_s2bm_ard_3-2-1_56JKL_2023-05-29_final.stac-item
2023-05-29 09:36:01	ga_s2bm_ard_3-2-1_56HKJ_2023-05-29_final.stac-item
2023-05-29 09:36:03	ga_s2bm_ard_3-2-1_55HGD_2023-05-29_final.stac-item
2023-05-29 09:36:30	ga_s2bm_ard_3-2-1_56HKG_2023-05-29_final.stac-item
2023-05-29 09:36:32	ga_s2bm_ard_3-2-1_55HGB_2023-05-29_final.stac-item
2023-05-29 09:36:55	ga_s2bm_ard_3-2-1_56HLE_2023-05-29_nrt.stac-item
2023-05-29 09:36:59	ga_s2bm_ard_3-2-1_56HKE_2023-05-29_nrt.stac-item
2023-05-29 09:37:01	ga_s2bm_ard_3-2-1_55HGV_2023-05-29_final.stac-item
2023-05-29 09:37:04	ga_s2bm_ard_3-2-1_55HFV_2023-05-29_final.stac-item
2023-05-29 09:37:08	ga_s2bm_ard_3-2-1_55HEV_2023-05-29_final.stac-item
2023-05-29 09:37:37	ga_s2bm_ard_3-2-1_55HET_2023-05-29_final.stac-item
2023-05-29 09:37:43	ga_s2bm_ard_3-2-1_55HGS_2023-05-29_nrt.stac-item
2023-05-29 09:37:44	ga_s2bm_ard_3-2-1_55HDT_2023-05-29_final.stac-item
2023-05-29 09:37:48	ga_s2bm_ard_3-2-1_55HFS_2023-05-29_final.stac-item
2023-05-29 09:38:45	ga_s2bm_ard_3-2-1_55GFN_2023-05-29_final.stac-item
2023-05-29 09:38:49	ga_s2bm_ard_3-2-1_55GEN_2023-05-29_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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