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
2023-05-11 11:51:29	ga_s2bm_ard_3-2-1_51LUE_2023-05-11_final.stac-item
2023-05-11 11:53:33	ga_s2bm_ard_3-2-1_50KMC_2023-05-11_final.stac-item
2023-05-11 11:53:34	ga_s2bm_ard_3-2-1_50KQB_2023-05-11_final.stac-item
2023-05-11 11:53:50	ga_s2bm_ard_3-2-1_50KPA_2023-05-11_final.stac-item
2023-05-11 11:53:55	ga_s2bm_ard_3-2-1_50KQV_2023-05-11_final.stac-item
2023-05-11 11:53:57	ga_s2bm_ard_3-2-1_50KPA_2023-05-11_final.stac-item
2023-05-11 11:54:03	ga_s2bm_ard_3-2-1_50KQV_2023-05-11_final.stac-item
2023-05-11 11:54:43	ga_s2bm_ard_3-2-1_50JMT_2023-05-11_final.stac-item
2023-05-11 11:54:50	ga_s2bm_ard_3-2-1_50JPS_2023-05-11_final.stac-item
2023-05-11 11:54:54	ga_s2bm_ard_3-2-1_50JNS_2023-05-11_final.stac-item
2023-05-11 11:54:57	ga_s2bm_ard_3-2-1_50JMS_2023-05-11_final.stac-item
2023-05-11 11:56:13	ga_s2bm_ard_3-2-1_50JLM_2023-05-11_final.stac-item
2023-05-11 11:57:26	ga_s2bm_ard_3-2-1_50HLG_2023-05-11_final.stac-item
2023-05-12 11:22:15	ga_s2bm_ard_3-2-1_51KYB_2023-05-12_final.stac-item
2023-05-12 11:22:36	ga_s2bm_ard_3-2-1_52KCE_2023-05-12_final.stac-item
2023-05-12 11:22:55	ga_s2bm_ard_3-2-1_51KZU_2023-05-12_final.stac-item
2023-05-12 11:23:09	ga_s2bm_ard_3-2-1_51KZT_2023-05-12_final.stac-item
2023-05-12 11:23:31	ga_s2bm_ard_3-2-1_51KXS_2023-05-12_final.stac-item
2023-05-12 11:23:45	ga_s2bm_ard_3-2-1_51KXR_2023-05-12_final.stac-item
2023-05-12 11:24:35	ga_s2bm_ard_3-2-1_52JBS_2023-05-12_final.stac-item
2023-05-12 11:24:39	ga_s2bm_ard_3-2-1_51JYM_2023-05-12_final.stac-item
2023-05-12 11:25:01	ga_s2bm_ard_3-2-1_51JWL_2023-05-12_final.stac-item
2023-05-12 11:26:35	ga_s2bm_ard_3-2-1_51HUE_2023-05-12_final.stac-item
2023-05-12 11:27:01	ga_s2bm_ard_3-2-1_51HVC_2023-05-12_final.stac-item
2023-05-12 11:27:13	ga_s2bm_ard_3-2-1_51HVB_2023-05-12_final.stac-item
2023-05-12 11:27:16	ga_s2bm_ard_3-2-1_51HTB_2023-05-12_final.stac-item
2023-05-13 10:53:17	ga_s2bm_ard_3-2-1_52KHB_2023-05-13_final.stac-item
2023-05-13 10:53:31	ga_s2bm_ard_3-2-1_52KHA_2023-05-13_final.stac-item
2023-05-13 10:54:13	ga_s2bm_ard_3-2-1_52JHT_2023-05-13_final.stac-item
2023-05-13 10:54:15	ga_s2bm_ard_3-2-1_52JGT_2023-05-13_final.stac-item
2023-05-13 10:54:19	ga_s2bm_ard_3-2-1_52JHT_2023-05-13_final.stac-item
2023-05-13 10:54:21	ga_s2bm_ard_3-2-1_52JGT_2023-05-13_final.stac-item
2023-05-13 10:54:51	ga_s2bm_ard_3-2-1_52JFR_2023-05-13_final.stac-item
2023-05-13 10:55:02	ga_s2bm_ard_3-2-1_52JGQ_2023-05-13_final.stac-item
2023-05-13 10:55:30	ga_s2bm_ard_3-2-1_52JGN_2023-05-13_final.stac-item
2023-05-13 10:56:11	ga_s2bm_ard_3-2-1_53HKE_2023-05-13_final.stac-item
2023-05-14 12:03:27	ga_s2bm_ard_3-2-1_50KMC_2023-05-14_final.stac-item
2023-05-14 12:03:44	ga_s2bm_ard_3-2-1_50KLB_2023-05-14_final.stac-item
2023-05-14 12:04:40	ga_s2bm_ard_3-2-1_50JMT_2023-05-14_final.stac-item
2023-05-14 12:04:43	ga_s2bm_ard_3-2-1_50JLT_2023-05-14_final.stac-item
2023-05-14 12:06:02	ga_s2bm_ard_3-2-1_49JGH_2023-05-14_final.stac-item
2023-05-14 12:06:13	ga_s2bm_ard_3-2-1_50JKM_2023-05-14_final.stac-item
2023-05-15 11:31:28	ga_s2bm_ard_3-2-1_51LYE_2023-05-15_final.stac-item
2023-05-15 11:31:43	ga_s2bm_ard_3-2-1_51LYD_2023-05-15_final.stac-item
2023-05-15 11:31:46	ga_s2bm_ard_3-2-1_51LXD_2023-05-15_final.stac-item
2023-05-15 11:31:52	ga_s2bm_ard_3-2-1_51LZC_2023-05-15_final.stac-item
2023-05-15 11:32:00	ga_s2bm_ard_3-2-1_51LXC_2023-05-15_final.stac-item
2023-05-15 11:32:11	ga_s2bm_ard_3-2-1_51KYB_2023-05-15_final.stac-item
2023-05-15 11:32:15	ga_s2bm_ard_3-2-1_51KXB_2023-05-15_final.stac-item
2023-05-15 11:32:18	ga_s2bm_ard_3-2-1_51KWB_2023-05-15_final.stac-item
2023-05-15 11:32:29	ga_s2bm_ard_3-2-1_51KXA_2023-05-15_final.stac-item
2023-05-15 11:32:33	ga_s2bm_ard_3-2-1_51KWA_2023-05-15_final.stac-item
2023-05-15 11:32:40	ga_s2bm_ard_3-2-1_51KYV_2023-05-15_final.stac-item
2023-05-15 11:32:47	ga_s2bm_ard_3-2-1_51KWV_2023-05-15_final.stac-item
2023-05-15 11:33:27	ga_s2bm_ard_3-2-1_51KXS_2023-05-15_final.stac-item
2023-05-15 11:33:38	ga_s2bm_ard_3-2-1_51KUS_2023-05-15_final.stac-item
2023-05-15 11:33:42	ga_s2bm_ard_3-2-1_51KXR_2023-05-15_final.stac-item
2023-05-15 11:33:49	ga_s2bm_ard_3-2-1_51KVR_2023-05-15_final.stac-item
2023-05-15 11:33:52	ga_s2bm_ard_3-2-1_51KUR_2023-05-15_final.stac-item
2023-05-15 11:34:03	ga_s2bm_ard_3-2-1_51KVQ_2023-05-15_final.stac-item
2023-05-15 11:34:19	ga_s2bm_ard_3-2-1_51JXN_2023-05-15_final.stac-item
2023-05-15 11:34:40	ga_s2bm_ard_3-2-1_51JTN_2023-05-15_final.stac-item
2023-05-15 11:34:43	ga_s2bm_ard_3-2-1_51JWM_2023-05-15_final.stac-item
2023-05-15 11:34:50	ga_s2bm_ard_3-2-1_51JUM_2023-05-15_final.stac-item
2023-05-15 11:34:53	ga_s2bm_ard_3-2-1_51JTM_2023-05-15_final.stac-item
2023-05-15 11:34:58	ga_s2bm_ard_3-2-1_51JWL_2023-05-15_final.stac-item
2023-05-15 11:35:05	ga_s2bm_ard_3-2-1_51JUL_2023-05-15_final.stac-item
2023-05-15 11:35:16	ga_s2bm_ard_3-2-1_51JVK_2023-05-15_final.stac-item
2023-05-15 11:35:30	ga_s2bm_ard_3-2-1_51JVJ_2023-05-15_final.stac-item
2023-05-15 11:36:06	ga_s2bm_ard_3-2-1_51JTG_2023-05-15_final.stac-item
2023-05-15 11:36:21	ga_s2bm_ard_3-2-1_51JTF_2023-05-15_final.stac-item
2023-05-15 11:36:30	ga_s2bm_ard_3-2-1_50JPL_2023-05-15_final.stac-item
2023-05-15 11:36:32	ga_s2bm_ard_3-2-1_51HUE_2023-05-15_final.stac-item
2023-05-15 11:36:38	ga_s2bm_ard_3-2-1_50HQK_2023-05-15_final.stac-item
2023-05-15 11:36:56	ga_s2bm_ard_3-2-1_50HPJ_2023-05-15_final.stac-item
2023-05-15 11:37:05	ga_s2bm_ard_3-2-1_51HTC_2023-05-15_final.stac-item
2023-05-15 11:37:10	ga_s2bm_ard_3-2-1_50HPH_2023-05-15_final.stac-item
2023-05-15 11:37:19	ga_s2bm_ard_3-2-1_51HTB_2023-05-15_final.stac-item
2023-05-24 12:00:49	ga_s2bm_ard_3-2-1_50LMP_2023-05-24_nrt.stac-item
2023-05-24 12:00:59	ga_s2bm_ard_3-2-1_50LNN_2023-05-24_nrt.stac-item
2023-05-24 12:01:02	ga_s2bm_ard_3-2-1_50LMN_2023-05-24_nrt.stac-item
2023-05-24 12:01:14	ga_s2bm_ard_3-2-1_50LNM_2023-05-24_nrt.stac-item
2023-05-24 12:01:28	ga_s2bm_ard_3-2-1_50LNL_2023-05-24_nrt.stac-item
2023-05-24 12:01:32	ga_s2bm_ard_3-2-1_50LML_2023-05-24_nrt.stac-item
2023-05-24 12:01:37	ga_s2bm_ard_3-2-1_50LPK_2023-05-24_nrt.stac-item
2023-05-24 12:01:39	ga_s2bm_ard_3-2-1_50LNK_2023-05-24_nrt.stac-item
2023-05-24 12:01:41	ga_s2bm_ard_3-2-1_50LMK_2023-05-24_nrt.stac-item
2023-05-24 12:03:02	ga_s2bm_ard_3-2-1_50KME_2023-05-24_nrt.stac-item
2023-05-24 12:03:13	ga_s2bm_ard_3-2-1_50KMD_2023-05-24_nrt.stac-item
2023-05-24 12:03:22	ga_s2bm_ard_3-2-1_49KHU_2023-05-24_nrt.stac-item
2023-05-24 12:03:34	ga_s2bm_ard_3-2-1_50KKC_2023-05-24_nrt.stac-item
2023-05-24 12:06:07	ga_s2bm_ard_3-2-1_49JFH_2023-05-24_nrt.stac-item
2023-05-24 12:06:18	ga_s2bm_ard_3-2-1_49JGG_2023-05-24_nrt.stac-item
2023-05-24 12:06:21	ga_s2bm_ard_3-2-1_49JFG_2023-05-24_nrt.stac-item
2023-05-24 12:06:26	ga_s2bm_ard_3-2-1_50JKL_2023-05-24_nrt.stac-item
2023-05-24 12:06:28	ga_s2bm_ard_3-2-1_49JGF_2023-05-24_nrt.stac-item
2023-05-24 12:06:29	ga_s2bm_ard_3-2-1_49JFF_2023-05-24_nrt.stac-item
2023-05-25 11:31:03	ga_s2bm_ard_3-2-1_51LXG_2023-05-25_nrt.stac-item
2023-05-25 11:31:15	ga_s2bm_ard_3-2-1_51LYF_2023-05-25_nrt.stac-item
2023-05-25 11:31:32	ga_s2bm_ard_3-2-1_51LXE_2023-05-25_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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