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
2023-04-11 11:53:04	ga_s2bm_ard_3-2-1_50KQD_2023-04-11_final.stac-item
2023-04-11 11:53:19	ga_s2bm_ard_3-2-1_50KQC_2023-04-11_final.stac-item
2023-04-11 11:53:23	ga_s2bm_ard_3-2-1_50KPC_2023-04-11_final.stac-item
2023-04-11 11:53:37	ga_s2bm_ard_3-2-1_50KPB_2023-04-11_final.stac-item
2023-04-11 11:53:44	ga_s2bm_ard_3-2-1_50KMB_2023-04-11_final.stac-item
2023-04-11 11:53:49	ga_s2bm_ard_3-2-1_50KPA_2023-04-11_final.stac-item
2023-04-11 11:53:51	ga_s2bm_ard_3-2-1_50KNA_2023-04-11_final.stac-item
2023-04-11 11:53:52	ga_s2bm_ard_3-2-1_50KMA_2023-04-11_final.stac-item
2023-04-11 11:53:56	ga_s2bm_ard_3-2-1_50KPA_2023-04-11_final.stac-item
2023-04-11 11:53:58	ga_s2bm_ard_3-2-1_50KNA_2023-04-11_final.stac-item
2023-04-11 11:54:06	ga_s2bm_ard_3-2-1_50KPV_2023-04-11_final.stac-item
2023-04-11 11:54:09	ga_s2bm_ard_3-2-1_50KNV_2023-04-11_final.stac-item
2023-04-11 11:54:13	ga_s2bm_ard_3-2-1_50KMV_2023-04-11_final.stac-item
2023-04-11 11:54:15	ga_s2bm_ard_3-2-1_50KQU_2023-04-11_final.stac-item
2023-04-11 11:54:20	ga_s2bm_ard_3-2-1_50KPU_2023-04-11_final.stac-item
2023-04-11 11:54:24	ga_s2bm_ard_3-2-1_50KNU_2023-04-11_final.stac-item
2023-04-11 11:54:39	ga_s2bm_ard_3-2-1_50JNT_2023-04-11_final.stac-item
2023-04-11 11:54:46	ga_s2bm_ard_3-2-1_50JLT_2023-04-11_final.stac-item
2023-04-11 11:54:53	ga_s2bm_ard_3-2-1_50JNS_2023-04-11_final.stac-item
2023-04-11 11:54:56	ga_s2bm_ard_3-2-1_50JMS_2023-04-11_final.stac-item
2023-04-11 11:55:04	ga_s2bm_ard_3-2-1_50JPR_2023-04-11_final.stac-item
2023-04-11 11:55:17	ga_s2bm_ard_3-2-1_50JPQ_2023-04-11_final.stac-item
2023-04-11 11:55:36	ga_s2bm_ard_3-2-1_50JNP_2023-04-11_final.stac-item
2023-04-11 11:55:43	ga_s2bm_ard_3-2-1_50JLP_2023-04-11_final.stac-item
2023-04-11 11:55:48	ga_s2bm_ard_3-2-1_50JKP_2023-04-11_final.stac-item
2023-04-11 11:55:51	ga_s2bm_ard_3-2-1_50JNN_2023-04-11_final.stac-item
2023-04-11 11:56:01	ga_s2bm_ard_3-2-1_50JKN_2023-04-11_final.stac-item
2023-04-11 11:56:24	ga_s2bm_ard_3-2-1_50JML_2023-04-11_final.stac-item
2023-04-11 11:56:27	ga_s2bm_ard_3-2-1_50JLL_2023-04-11_final.stac-item
2023-04-11 11:56:31	ga_s2bm_ard_3-2-1_50HNK_2023-04-11_final.stac-item
2023-04-11 11:56:38	ga_s2bm_ard_3-2-1_50HMK_2023-04-11_final.stac-item
2023-04-11 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2023-04-11_final.stac-item
2023-04-11 11:56:56	ga_s2bm_ard_3-2-1_50HLJ_2023-04-11_final.stac-item
2023-04-11 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2023-04-11_final.stac-item
2023-04-12 11:24:16	ga_s2bm_ard_3-2-1_51KWP_2023-04-12_final.stac-item
2023-04-12 11:24:24	ga_s2bm_ard_3-2-1_51JYN_2023-04-12_final.stac-item
2023-04-12 11:24:27	ga_s2bm_ard_3-2-1_51JXN_2023-04-12_final.stac-item
2023-04-12 11:24:33	ga_s2bm_ard_3-2-1_51JZM_2023-04-12_final.stac-item
2023-04-12 11:24:42	ga_s2bm_ard_3-2-1_51JXM_2023-04-12_final.stac-item
2023-04-12 11:24:45	ga_s2bm_ard_3-2-1_51JWM_2023-04-12_final.stac-item
2023-04-12 11:25:22	ga_s2bm_ard_3-2-1_51JYJ_2023-04-12_final.stac-item
2023-04-12 11:25:32	ga_s2bm_ard_3-2-1_51JVJ_2023-04-12_final.stac-item
2023-04-12 11:25:40	ga_s2bm_ard_3-2-1_51JXH_2023-04-12_final.stac-item
2023-04-12 11:25:43	ga_s2bm_ard_3-2-1_51JWH_2023-04-12_final.stac-item
2023-04-12 11:25:54	ga_s2bm_ard_3-2-1_51JXG_2023-04-12_final.stac-item
2023-04-12 11:25:58	ga_s2bm_ard_3-2-1_51JWG_2023-04-12_final.stac-item
2023-04-12 11:26:16	ga_s2bm_ard_3-2-1_51JVF_2023-04-12_final.stac-item
2023-04-12 11:26:33	ga_s2bm_ard_3-2-1_51HUE_2023-04-12_final.stac-item
2023-04-12 11:26:55	ga_s2bm_ard_3-2-1_51HWC_2023-04-12_final.stac-item
2023-04-12 11:26:59	ga_s2bm_ard_3-2-1_51HVC_2023-04-12_final.stac-item
2023-04-12 11:27:11	ga_s2bm_ard_3-2-1_51HVB_2023-04-12_final.stac-item
2023-04-12 11:27:13	ga_s2bm_ard_3-2-1_51HUB_2023-04-12_final.stac-item
2023-04-14 12:03:38	ga_s2bm_ard_3-2-1_50KMB_2023-04-14_final.stac-item
2023-04-14 12:03:41	ga_s2bm_ard_3-2-1_50KLB_2023-04-14_final.stac-item
2023-04-14 12:03:45	ga_s2bm_ard_3-2-1_50KNA_2023-04-14_final.stac-item
2023-04-14 12:03:52	ga_s2bm_ard_3-2-1_50KMA_2023-04-14_final.stac-item
2023-04-14 12:04:27	ga_s2bm_ard_3-2-1_49KHP_2023-04-14_final.stac-item
2023-04-14 12:04:31	ga_s2bm_ard_3-2-1_50JMT_2023-04-14_final.stac-item
2023-04-14 12:04:33	ga_s2bm_ard_3-2-1_50JLT_2023-04-14_final.stac-item
2023-04-14 12:04:33	ga_s2bm_ard_3-2-1_49JHN_2023-04-14_final.stac-item
2023-04-14 12:04:34	ga_s2bm_ard_3-2-1_50JKT_2023-04-14_final.stac-item
2023-04-14 12:04:40	ga_s2bm_ard_3-2-1_50JLT_2023-04-14_final.stac-item
2023-04-14 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2023-04-14_final.stac-item
2023-04-14 12:04:49	ga_s2bm_ard_3-2-1_50JMS_2023-04-14_final.stac-item
2023-04-14 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2023-04-14_final.stac-item
2023-04-14 12:05:38	ga_s2bm_ard_3-2-1_50JLP_2023-04-14_final.stac-item
2023-04-14 12:05:41	ga_s2bm_ard_3-2-1_50JKP_2023-04-14_final.stac-item
2023-04-14 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2023-04-14_final.stac-item
2023-04-24 12:00:25	ga_s2bm_ard_3-2-1_50LRP_2023-04-24_nrt.stac-item
2023-04-24 12:00:35	ga_s2bm_ard_3-2-1_50LQP_2023-04-24_nrt.stac-item
2023-04-24 12:00:42	ga_s2bm_ard_3-2-1_50LNP_2023-04-24_nrt.stac-item
2023-04-24 12:00:46	ga_s2bm_ard_3-2-1_50LMP_2023-04-24_nrt.stac-item
2023-04-24 12:00:50	ga_s2bm_ard_3-2-1_50LQN_2023-04-24_nrt.stac-item
2023-04-24 12:00:56	ga_s2bm_ard_3-2-1_50LNN_2023-04-24_nrt.stac-item
2023-04-24 12:00:59	ga_s2bm_ard_3-2-1_50LMN_2023-04-24_nrt.stac-item
2023-04-24 12:01:11	ga_s2bm_ard_3-2-1_50LNM_2023-04-24_nrt.stac-item
2023-04-24 12:01:14	ga_s2bm_ard_3-2-1_50LMM_2023-04-24_nrt.stac-item
2023-04-24 12:01:26	ga_s2bm_ard_3-2-1_50LNL_2023-04-24_nrt.stac-item
2023-04-24 12:01:29	ga_s2bm_ard_3-2-1_50LML_2023-04-24_nrt.stac-item
2023-04-24 12:01:36	ga_s2bm_ard_3-2-1_50LPK_2023-04-24_nrt.stac-item
2023-04-24 12:01:39	ga_s2bm_ard_3-2-1_50LNK_2023-04-24_nrt.stac-item
2023-04-24 12:01:40	ga_s2bm_ard_3-2-1_50LMK_2023-04-24_nrt.stac-item
2023-04-24 12:01:43	ga_s2bm_ard_3-2-1_50LLK_2023-04-24_nrt.stac-item
2023-04-24 12:01:44	ga_s2bm_ard_3-2-1_50LPJ_2023-04-24_nrt.stac-item
2023-04-24 12:01:46	ga_s2bm_ard_3-2-1_50LNJ_2023-04-24_nrt.stac-item
2023-04-24 12:03:32	ga_s2bm_ard_3-2-1_49KHT_2023-04-24_nrt.stac-item
2023-04-24 12:05:21	ga_s2bm_ard_3-2-1_49JFL_2023-04-24_nrt.stac-item
2023-04-24 12:05:35	ga_s2bm_ard_3-2-1_49JFK_2023-04-24_nrt.stac-item
2023-04-24 12:05:49	ga_s2bm_ard_3-2-1_49JFJ_2023-04-24_nrt.stac-item
2023-04-24 12:06:04	ga_s2bm_ard_3-2-1_49JFH_2023-04-24_nrt.stac-item
2023-04-24 12:06:15	ga_s2bm_ard_3-2-1_49JGG_2023-04-24_nrt.stac-item
2023-04-24 12:06:18	ga_s2bm_ard_3-2-1_49JFG_2023-04-24_nrt.stac-item
2023-04-24 12:06:26	ga_s2bm_ard_3-2-1_49JGF_2023-04-24_nrt.stac-item
2023-04-24 12:06:28	ga_s2bm_ard_3-2-1_49JFF_2023-04-24_nrt.stac-item
2023-04-25 11:37:28	ga_s2bm_ard_3-2-1_51HTA_2023-04-25_nrt.stac-item
2023-04-25 11:37:31	ga_s2bm_ard_3-2-1_50HPF_2023-04-25_nrt.stac-item
2023-04-25 11:37:32	ga_s2bm_ard_3-2-1_51HUA_2023-04-25_nrt.stac-item
2023-04-25 11:37:33	ga_s2bm_ard_3-2-1_51HTA_2023-04-25_nrt.stac-item
2023-04-25 11:37:33	ga_s2bm_ard_3-2-1_50HPF_2023-04-25_nrt.stac-item
2023-04-25 11:37:35	ga_s2bm_ard_3-2-1_50HNF_2023-04-25_nrt.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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