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
2023-01-16 11:02:44	ga_s2bm_ard_3-2-1_52KFD_2023-01-16_final.stac-item
2023-01-16 11:05:16	ga_s2bm_ard_3-2-1_52JDP_2023-01-16_final.stac-item
2023-01-16 11:05:19	ga_s2bm_ard_3-2-1_52JCP_2023-01-16_final.stac-item
2023-01-18 10:02:13	ga_s2bm_ard_3-2-1_55KEU_2023-01-18_final.stac-item
2023-01-18 10:02:16	ga_s2bm_ard_3-2-1_55KDU_2023-01-18_final.stac-item
2023-01-18 10:02:39	ga_s2bm_ard_3-2-1_54KZC_2023-01-18_final.stac-item
2023-01-18 10:03:14	ga_s2bm_ard_3-2-1_55KDQ_2023-01-18_final.stac-item
2023-01-18 10:04:04	ga_s2bm_ard_3-2-1_54JZS_2023-01-18_final.stac-item
2023-01-18 10:04:07	ga_s2bm_ard_3-2-1_54JYS_2023-01-18_final.stac-item
2023-01-18 10:04:14	ga_s2bm_ard_3-2-1_55JDL_2023-01-18_final.stac-item
2023-01-18 10:04:19	ga_s2bm_ard_3-2-1_55JBL_2023-01-18_final.stac-item
2023-01-18 10:05:49	ga_s2bm_ard_3-2-1_54HYK_2023-01-18_final.stac-item
2023-01-18 10:06:47	ga_s2bm_ard_3-2-1_54HYF_2023-01-18_final.stac-item
2023-01-18 10:07:19	ga_s2bm_ard_3-2-1_54HXD_2023-01-18_final.stac-item
2023-01-18 11:43:30	ga_s2bm_ard_3-2-1_51KTS_2023-01-18_final.stac-item
2023-01-18 11:43:30	ga_s2bm_ard_3-2-1_50KRB_2023-01-18_final.stac-item
2023-01-18 11:43:41	ga_s2bm_ard_3-2-1_51KUR_2023-01-18_final.stac-item
2023-01-18 11:44:17	ga_s2bm_ard_3-2-1_50KQU_2023-01-18_final.stac-item
2023-01-18 11:46:20	ga_s2bm_ard_3-2-1_50JNL_2023-01-18_final.stac-item
2023-01-19 09:32:56	ga_s2bm_ard_3-2-1_56KLA_2023-01-19_final.stac-item
2023-01-19 09:34:38	ga_s2bm_ard_3-2-1_56JLP_2023-01-19_final.stac-item
2023-01-19 09:35:07	ga_s2bm_ard_3-2-1_56JLM_2023-01-19_final.stac-item
2023-01-19 09:35:56	ga_s2bm_ard_3-2-1_55HGD_2023-01-19_final.stac-item
2023-01-19 09:36:00	ga_s2bm_ard_3-2-1_55HFD_2023-01-19_final.stac-item
2023-01-19 09:38:24	ga_s2bm_ard_3-2-1_55GFP_2023-01-19_final.stac-item
2023-01-19 09:38:43	ga_s2bm_ard_3-2-1_55GEN_2023-01-19_final.stac-item
2023-01-19 11:12:08	ga_s2bm_ard_3-2-1_52KCG_2023-01-19_final.stac-item
2023-01-19 11:12:47	ga_s2bm_ard_3-2-1_52KDD_2023-01-19_final.stac-item
2023-01-19 11:13:26	ga_s2bm_ard_3-2-1_51KZS_2023-01-19_final.stac-item
2023-01-19 11:14:00	ga_s2bm_ard_3-2-1_52KDU_2023-01-19_final.stac-item
2023-01-19 11:14:05	ga_s2bm_ard_3-2-1_52JET_2023-01-19_final.stac-item
2023-01-19 11:14:30	ga_s2bm_ard_3-2-1_52JBS_2023-01-19_final.stac-item
2023-01-19 11:14:39	ga_s2bm_ard_3-2-1_51JYM_2023-01-19_final.stac-item
2023-01-19 11:15:05	ga_s2bm_ard_3-2-1_52JBQ_2023-01-19_final.stac-item
2023-01-19 11:16:05	ga_s2bm_ard_3-2-1_51JYF_2023-01-19_final.stac-item
2023-01-20 10:42:08	ga_s2bm_ard_3-2-1_53KNA_2023-01-20_final.stac-item
2023-01-20 10:42:10	ga_s2bm_ard_3-2-1_53KRV_2023-01-20_final.stac-item
2023-01-20 10:42:34	ga_s2bm_ard_3-2-1_53KPU_2023-01-20_final.stac-item
2023-01-20 10:42:51	ga_s2bm_ard_3-2-1_53KPT_2023-01-20_final.stac-item
2023-01-20 10:43:23	ga_s2bm_ard_3-2-1_53KQQ_2023-01-20_final.stac-item
2023-01-20 10:43:53	ga_s2bm_ard_3-2-1_53KMP_2023-01-20_final.stac-item
2023-01-20 10:45:23	ga_s2bm_ard_3-2-1_53JLH_2023-01-20_final.stac-item
2023-01-20 10:46:18	ga_s2bm_ard_3-2-1_53HMD_2023-01-20_final.stac-item
2023-02-03 10:27:14	ga_s2bm_ard_3-2-1_53HNV_2023-02-03_nrt.stac-item
2023-02-03 12:00:30	ga_s2bm_ard_3-2-1_50LQP_2023-02-03_nrt.stac-item
2023-02-03 12:00:34	ga_s2bm_ard_3-2-1_50LPP_2023-02-03_nrt.stac-item
2023-02-03 12:00:41	ga_s2bm_ard_3-2-1_50LMP_2023-02-03_nrt.stac-item
2023-02-03 12:00:48	ga_s2bm_ard_3-2-1_50LPN_2023-02-03_nrt.stac-item
2023-02-03 12:00:51	ga_s2bm_ard_3-2-1_50LNN_2023-02-03_nrt.stac-item
2023-02-03 12:00:54	ga_s2bm_ard_3-2-1_50LMN_2023-02-03_nrt.stac-item
2023-02-03 12:01:03	ga_s2bm_ard_3-2-1_50LPM_2023-02-03_nrt.stac-item
2023-02-03 12:01:06	ga_s2bm_ard_3-2-1_50LNM_2023-02-03_nrt.stac-item
2023-02-03 12:01:13	ga_s2bm_ard_3-2-1_50LQL_2023-02-03_nrt.stac-item
2023-02-03 12:01:17	ga_s2bm_ard_3-2-1_50LPL_2023-02-03_nrt.stac-item
2023-02-03 12:01:33	ga_s2bm_ard_3-2-1_50LNK_2023-02-03_nrt.stac-item
2023-02-03 12:02:55	ga_s2bm_ard_3-2-1_50KME_2023-02-03_nrt.stac-item
2023-02-03 12:02:56	ga_s2bm_ard_3-2-1_50KLE_2023-02-03_nrt.stac-item
2023-02-03 12:02:59	ga_s2bm_ard_3-2-1_50KKE_2023-02-03_nrt.stac-item
2023-02-03 12:03:02	ga_s2bm_ard_3-2-1_50KND_2023-02-03_nrt.stac-item
2023-02-03 12:03:09	ga_s2bm_ard_3-2-1_50KLD_2023-02-03_nrt.stac-item
2023-02-03 12:03:14	ga_s2bm_ard_3-2-1_49KHU_2023-02-03_nrt.stac-item
2023-02-03 12:03:26	ga_s2bm_ard_3-2-1_50KKC_2023-02-03_nrt.stac-item
2023-02-03 12:05:59	ga_s2bm_ard_3-2-1_49JFH_2023-02-03_nrt.stac-item
2023-02-03 12:06:09	ga_s2bm_ard_3-2-1_49JGG_2023-02-03_nrt.stac-item
2023-02-03 12:06:13	ga_s2bm_ard_3-2-1_49JFG_2023-02-03_nrt.stac-item
2023-02-04 09:49:34	ga_s2bm_ard_3-2-1_56LMP_2023-02-04_nrt.stac-item
2023-02-04 09:49:41	ga_s2bm_ard_3-2-1_56LKP_2023-02-04_nrt.stac-item
2023-02-04 09:49:42	ga_s2bm_ard_3-2-1_55LHJ_2023-02-04_nrt.stac-item
2023-02-04 09:49:46	ga_s2bm_ard_3-2-1_56LMN_2023-02-04_nrt.stac-item
2023-02-04 09:49:52	ga_s2bm_ard_3-2-1_56LLN_2023-02-04_nrt.stac-item
2023-02-04 09:49:55	ga_s2bm_ard_3-2-1_56LKN_2023-02-04_nrt.stac-item
2023-02-04 09:49:56	ga_s2bm_ard_3-2-1_55LHH_2023-02-04_nrt.stac-item
2023-02-04 09:49:56	ga_s2bm_ard_3-2-1_56LMM_2023-02-04_nrt.stac-item
2023-02-04 09:50:01	ga_s2bm_ard_3-2-1_56LLM_2023-02-04_nrt.stac-item
2023-02-04 09:50:02	ga_s2bm_ard_3-2-1_56LKM_2023-02-04_nrt.stac-item
2023-02-04 09:50:03	ga_s2bm_ard_3-2-1_55LHG_2023-02-04_nrt.stac-item
2023-02-04 09:50:56	ga_s2bm_ard_3-2-1_56LLJ_2023-02-04_nrt.stac-item
2023-02-04 09:50:58	ga_s2bm_ard_3-2-1_56LKJ_2023-02-04_nrt.stac-item
2023-02-04 09:50:59	ga_s2bm_ard_3-2-1_55LHD_2023-02-04_nrt.stac-item
2023-02-04 09:51:01	ga_s2bm_ard_3-2-1_56LLH_2023-02-04_nrt.stac-item
2023-02-04 09:51:02	ga_s2bm_ard_3-2-1_55LFD_2023-02-04_nrt.stac-item
2023-02-04 09:51:08	ga_s2bm_ard_3-2-1_56LKH_2023-02-04_nrt.stac-item
2023-02-04 09:51:50	ga_s2bm_ard_3-2-1_55KEA_2023-02-04_nrt.stac-item
2023-02-04 09:51:52	ga_s2bm_ard_3-2-1_55KHV_2023-02-04_nrt.stac-item
2023-02-04 09:52:07	ga_s2bm_ard_3-2-1_55KHU_2023-02-04_nrt.stac-item
2023-02-04 09:52:21	ga_s2bm_ard_3-2-1_55KHT_2023-02-04_nrt.stac-item
2023-02-04 09:57:52	ga_s2bm_ard_3-2-1_54HXB_2023-02-04_nrt.stac-item
2023-02-04 09:57:56	ga_s2bm_ard_3-2-1_54HWB_2023-02-04_nrt.stac-item
2023-02-04 09:58:06	ga_s2bm_ard_3-2-1_54GXA_2023-02-04_nrt.stac-item
2023-02-04 09:58:10	ga_s2bm_ard_3-2-1_54GWA_2023-02-04_nrt.stac-item
2023-02-04 09:58:23	ga_s2bm_ard_3-2-1_54GWV_2023-02-04_nrt.stac-item
2023-02-04 09:58:26	ga_s2bm_ard_3-2-1_54GYU_2023-02-04_nrt.stac-item
2023-02-04 09:58:26	ga_s2bm_ard_3-2-1_55GBP_2023-02-04_nrt.stac-item
2023-02-04 09:58:28	ga_s2bm_ard_3-2-1_54GXU_2023-02-04_nrt.stac-item
2023-02-04 11:30:20	ga_s2bm_ard_3-2-1_51LZJ_2023-02-04_nrt.stac-item
2023-02-04 11:30:33	ga_s2bm_ard_3-2-1_52LBN_2023-02-04_nrt.stac-item
2023-02-04 11:30:41	ga_s2bm_ard_3-2-1_51LXH_2023-02-04_nrt.stac-item
2023-02-04 11:31:02	ga_s2bm_ard_3-2-1_52LBL_2023-02-04_nrt.stac-item
2023-02-04 11:31:03	ga_s2bm_ard_3-2-1_51LZF_2023-02-04_nrt.stac-item
2023-02-04 11:31:15	ga_s2bm_ard_3-2-1_51LWF_2023-02-04_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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