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
2023-02-11 09:45:49	ga_s2bm_ard_3-2-1_55HDE_2023-02-11_final.stac-item
2023-02-11 09:46:35	ga_s2bm_ard_3-2-1_55HFA_2023-02-11_final.stac-item
2023-02-11 11:22:06	ga_s2bm_ard_3-2-1_52KBG_2023-02-11_final.stac-item
2023-02-11 11:22:22	ga_s2bm_ard_3-2-1_51KZA_2023-02-11_final.stac-item
2023-02-11 11:23:15	ga_s2bm_ard_3-2-1_52KCB_2023-02-11_final.stac-item
2023-02-11 11:23:48	ga_s2bm_ard_3-2-1_51KZQ_2023-02-11_final.stac-item
2023-02-11 11:24:50	ga_s2bm_ard_3-2-1_51JYL_2023-02-11_final.stac-item
2023-02-12 10:51:06	ga_s2bm_ard_3-2-1_53LNE_2023-02-12_final.stac-item
2023-02-12 10:52:04	ga_s2bm_ard_3-2-1_53KNA_2023-02-12_final.stac-item
2023-02-12 10:52:18	ga_s2bm_ard_3-2-1_52KHF_2023-02-12_final.stac-item
2023-02-12 10:53:19	ga_s2bm_ard_3-2-1_52KGB_2023-02-12_final.stac-item
2023-02-12 10:55:08	ga_s2bm_ard_3-2-1_53JKJ_2023-02-12_final.stac-item
2023-02-13 10:20:34	ga_s2bm_ard_3-2-1_54LZL_2023-02-13_final.stac-item
2023-02-13 10:21:06	ga_s2bm_ard_3-2-1_54LYJ_2023-02-13_final.stac-item
2023-02-13 10:21:42	ga_s2bm_ard_3-2-1_54KWG_2023-02-13_final.stac-item
2023-02-13 10:22:02	ga_s2bm_ard_3-2-1_54KYE_2023-02-13_final.stac-item
2023-02-13 10:23:27	ga_s2bm_ard_3-2-1_54KVV_2023-02-13_final.stac-item
2023-02-13 10:24:58	ga_s2bm_ard_3-2-1_54JUP_2023-02-13_final.stac-item
2023-02-13 12:03:57	ga_s2bm_ard_3-2-1_50KKA_2023-02-13_final.stac-item
2023-02-13 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2023-02-13_final.stac-item
2023-02-13 12:04:34	ga_s2bm_ard_3-2-1_50JMT_2023-02-13_final.stac-item
2023-02-14 09:57:20	ga_s2bm_ard_3-2-1_54HYD_2023-02-14_final.stac-item
2023-02-14 09:57:34	ga_s2bm_ard_3-2-1_55HBT_2023-02-14_final.stac-item
2023-02-14 09:57:35	ga_s2bm_ard_3-2-1_54HYC_2023-02-14_final.stac-item
2023-02-14 09:58:04	ga_s2bm_ard_3-2-1_54GYA_2023-02-14_final.stac-item
2023-02-14 11:33:37	ga_s2bm_ard_3-2-1_51KXR_2023-02-14_final.stac-item
2023-02-14 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2023-02-14_final.stac-item
2023-02-15 09:28:00	ga_s2bm_ard_3-2-1_55GFR_2023-02-14_final.stac-item
2023-02-15 11:00:34	ga_s2bm_ard_3-2-1_53LMG_2023-02-15_final.stac-item
2023-02-15 11:01:54	ga_s2bm_ard_3-2-1_53KKB_2023-02-15_final.stac-item
2023-02-15 11:02:02	ga_s2bm_ard_3-2-1_52KFG_2023-02-15_final.stac-item
2023-02-15 11:02:08	ga_s2bm_ard_3-2-1_53KKA_2023-02-15_final.stac-item
2023-02-15 11:02:10	ga_s2bm_ard_3-2-1_52KHF_2023-02-15_final.stac-item
2023-02-15 11:02:46	ga_s2bm_ard_3-2-1_52KFD_2023-02-15_final.stac-item
2023-02-15 11:03:15	ga_s2bm_ard_3-2-1_52KGB_2023-02-15_final.stac-item
2023-02-15 11:03:40	ga_s2bm_ard_3-2-1_52KGV_2023-02-15_final.stac-item
2023-02-15 11:05:25	ga_s2bm_ard_3-2-1_52JFN_2023-02-15_final.stac-item
2023-02-16 10:29:52	ga_s2bm_ard_3-2-1_54LXP_2023-02-16_final.stac-item
2023-02-16 10:31:08	ga_s2bm_ard_3-2-1_54LWJ_2023-02-16_final.stac-item
2023-02-16 10:31:55	ga_s2bm_ard_3-2-1_54KVF_2023-02-16_final.stac-item
2023-02-16 10:33:39	ga_s2bm_ard_3-2-1_54KUU_2023-02-16_final.stac-item
2023-02-16 10:35:32	ga_s2bm_ard_3-2-1_53JPG_2023-02-16_final.stac-item
2023-02-16 10:36:19	ga_s2bm_ard_3-2-1_53HND_2023-02-16_final.stac-item
2023-02-16 12:14:17	ga_s2bm_ard_3-2-1_50KKU_2023-02-16_final.stac-item
2023-02-17 10:04:15	ga_s2bm_ard_3-2-1_55JCL_2023-02-17_final.stac-item
2023-02-17 11:44:47	ga_s2bm_ard_3-2-1_50JPS_2023-02-17_final.stac-item
2023-02-17 11:46:53	ga_s2bm_ard_3-2-1_50HMJ_2023-02-17_final.stac-item
2023-02-17 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2023-02-17_final.stac-item
2023-02-18 09:34:21	ga_s2bm_ard_3-2-1_56JMQ_2023-02-18_final.stac-item
2023-02-18 09:34:24	ga_s2bm_ard_3-2-1_56JLQ_2023-02-18_final.stac-item
2023-02-18 11:10:56	ga_s2bm_ard_3-2-1_52LGL_2023-02-18_final.stac-item
2023-02-18 11:13:39	ga_s2bm_ard_3-2-1_51KZR_2023-02-18_final.stac-item
2023-02-18 11:13:50	ga_s2bm_ard_3-2-1_52KCV_2023-02-18_final.stac-item
2023-02-18 11:15:41	ga_s2bm_ard_3-2-1_51JXH_2023-02-18_final.stac-item
2023-02-19 10:42:47	ga_s2bm_ard_3-2-1_53KPT_2023-02-19_final.stac-item
2023-02-19 10:42:56	ga_s2bm_ard_3-2-1_53KNT_2023-02-19_final.stac-item
2023-02-20 10:12:02	ga_s2bm_ard_3-2-1_55KCV_2023-02-20_final.stac-item
2023-02-20 10:12:53	ga_s2bm_ard_3-2-1_54KYB_2023-02-20_final.stac-item
2023-02-20 10:13:07	ga_s2bm_ard_3-2-1_54KZA_2023-02-20_final.stac-item
2023-02-20 10:13:18	ga_s2bm_ard_3-2-1_55KBQ_2023-02-20_final.stac-item
2023-02-20 10:13:32	ga_s2bm_ard_3-2-1_55KBP_2023-02-20_final.stac-item
2023-02-20 11:53:35	ga_s2bm_ard_3-2-1_50KPB_2023-02-20_final.stac-item
2023-02-20 11:55:45	ga_s2bm_ard_3-2-1_50JKP_2023-02-20_final.stac-item
2023-02-21 09:43:01	ga_s2bm_ard_3-2-1_55KGR_2023-02-21_final.stac-item
2023-02-21 09:43:59	ga_s2bm_ard_3-2-1_55JGM_2023-02-21_final.stac-item
2023-02-21 09:44:31	ga_s2bm_ard_3-2-1_55JFK_2023-02-21_final.stac-item
2023-02-21 09:47:18	ga_s2bm_ard_3-2-1_55HDU_2023-02-21_final.stac-item
2023-02-21 11:22:23	ga_s2bm_ard_3-2-1_51KZA_2023-02-21_final.stac-item
2023-02-21 11:22:37	ga_s2bm_ard_3-2-1_51KZV_2023-02-21_final.stac-item
2023-02-21 11:23:24	ga_s2bm_ard_3-2-1_51KYS_2023-02-21_final.stac-item
2023-02-21 11:25:42	ga_s2bm_ard_3-2-1_51JWH_2023-02-21_final.stac-item
2023-02-21 11:26:11	ga_s2bm_ard_3-2-1_51JWF_2023-02-21_final.stac-item
2023-02-22 10:51:35	ga_s2bm_ard_3-2-1_53LLD_2023-02-22_final.stac-item
2023-02-22 10:51:41	ga_s2bm_ard_3-2-1_53KPB_2023-02-22_final.stac-item
2023-02-22 10:51:41	ga_s2bm_ard_3-2-1_53LMC_2023-02-22_final.stac-item
2023-02-22 10:52:44	ga_s2bm_ard_3-2-1_52KHD_2023-02-22_final.stac-item
2023-03-11 10:40:54	ga_s2bm_ard_3-2-1_54LTL_2023-03-11_nrt.stac-item
2023-03-11 10:41:04	ga_s2bm_ard_3-2-1_54LTK_2023-03-11_nrt.stac-item
2023-03-11 10:41:19	ga_s2bm_ard_3-2-1_54LTJ_2023-03-11_nrt.stac-item
2023-03-11 10:41:34	ga_s2bm_ard_3-2-1_54LTH_2023-03-11_nrt.stac-item
2023-03-11 10:46:31	ga_s2bm_ard_3-2-1_53HKD_2023-03-11_nrt.stac-item
2023-03-12 10:10:14	ga_s2bm_ard_3-2-1_55LBH_2023-03-12_nrt.stac-item
2023-03-12 10:10:40	ga_s2bm_ard_3-2-1_55LCF_2023-03-12_nrt.stac-item
2023-03-12 10:10:43	ga_s2bm_ard_3-2-1_55LBF_2023-03-12_nrt.stac-item
2023-03-12 10:17:38	ga_s2bm_ard_3-2-1_53HQU_2023-03-12_nrt.stac-item
2023-03-12 10:17:43	ga_s2bm_ard_3-2-1_54HUC_2023-03-12_nrt.stac-item
2023-03-12 10:17:44	ga_s2bm_ard_3-2-1_53HPU_2023-03-12_nrt.stac-item
2023-03-12 10:17:48	ga_s2bm_ard_3-2-1_53HPT_2023-03-12_nrt.stac-item
2023-03-12 11:50:34	ga_s2bm_ard_3-2-1_51LUJ_2023-03-12_nrt.stac-item
2023-03-12 11:50:47	ga_s2bm_ard_3-2-1_51LUH_2023-03-12_nrt.stac-item
2023-03-12 11:50:56	ga_s2bm_ard_3-2-1_51LTH_2023-03-12_nrt.stac-item
2023-03-12 11:51:03	ga_s2bm_ard_3-2-1_51LUG_2023-03-12_nrt.stac-item
2023-03-12 11:51:06	ga_s2bm_ard_3-2-1_51LTG_2023-03-12_nrt.stac-item
2023-03-12 11:51:21	ga_s2bm_ard_3-2-1_51LTF_2023-03-12_nrt.stac-item
2023-03-12 11:51:26	ga_s2bm_ard_3-2-1_50LQL_2023-03-12_nrt.stac-item
2023-03-12 11:51:55	ga_s2bm_ard_3-2-1_50LQJ_2023-03-12_nrt.stac-item
2023-03-12 11:51:58	ga_s2bm_ard_3-2-1_50LPJ_2023-03-12_nrt.stac-item
2023-03-12 11:52:04	ga_s2bm_ard_3-2-1_51LTC_2023-03-12_nrt.stac-item
2023-03-12 11:52:13	ga_s2bm_ard_3-2-1_50LPH_2023-03-12_nrt.stac-item
2023-03-12 11:53:14	ga_s2bm_ard_3-2-1_50KND_2023-03-12_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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