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
2019-09-21 10:51:41	ga_s2bm_ard_3-2-1_53KPB_2019-09-21_final
2019-09-21 10:51:57	ga_s2bm_ard_3-2-1_53KLB_2019-09-21_final
2019-09-21 10:52:05	ga_s2bm_ard_3-2-1_53KNA_2019-09-21_final
2019-09-21 10:52:08	ga_s2bm_ard_3-2-1_53KMA_2019-09-21_final
2019-09-21 10:52:11	ga_s2bm_ard_3-2-1_53KLA_2019-09-21_final
2019-09-21 10:52:14	ga_s2bm_ard_3-2-1_53KKA_2019-09-21_final
2019-09-21 10:52:19	ga_s2bm_ard_3-2-1_52KHF_2019-09-21_final
2019-09-21 10:52:29	ga_s2bm_ard_3-2-1_53KKV_2019-09-21_final
2019-09-21 10:52:58	ga_s2bm_ard_3-2-1_53KKT_2019-09-21_final
2019-09-21 10:52:59	ga_s2bm_ard_3-2-1_52KHC_2019-09-21_final
2019-09-21 10:53:06	ga_s2bm_ard_3-2-1_53KMS_2019-09-21_final
2019-09-21 10:53:13	ga_s2bm_ard_3-2-1_52KHB_2019-09-21_final
2019-09-21 10:53:20	ga_s2bm_ard_3-2-1_52KGB_2019-09-21_final
2019-09-21 10:53:31	ga_s2bm_ard_3-2-1_52KGA_2019-09-21_final
2019-09-21 10:53:39	ga_s2bm_ard_3-2-1_53KLQ_2019-09-21_final
2019-09-21 10:53:42	ga_s2bm_ard_3-2-1_53KKQ_2019-09-21_final
2019-09-21 10:53:42	ga_s2bm_ard_3-2-1_52KHV_2019-09-21_final
2019-09-21 10:53:56	ga_s2bm_ard_3-2-1_53KKP_2019-09-21_final
2019-09-21 10:53:59	ga_s2bm_ard_3-2-1_53JMN_2019-09-21_final
2019-09-21 10:54:00	ga_s2bm_ard_3-2-1_52KGU_2019-09-21_final
2019-09-21 10:54:22	ga_s2bm_ard_3-2-1_53JLM_2019-09-21_final
2019-09-21 10:54:25	ga_s2bm_ard_3-2-1_52JHS_2019-09-21_final
2019-09-21 10:54:26	ga_s2bm_ard_3-2-1_53JKM_2019-09-21_final
2019-09-21 10:54:33	ga_s2bm_ard_3-2-1_52JFS_2019-09-21_final
2019-09-21 10:54:37	ga_s2bm_ard_3-2-1_53JLL_2019-09-21_final
2019-09-21 10:54:47	ga_s2bm_ard_3-2-1_52JFR_2019-09-21_final
2019-09-21 10:54:58	ga_s2bm_ard_3-2-1_52JGQ_2019-09-21_final
2019-09-21 10:55:02	ga_s2bm_ard_3-2-1_52JFQ_2019-09-21_final
2019-09-21 10:55:22	ga_s2bm_ard_3-2-1_52JEP_2019-09-21_final
2019-09-21 10:55:24	ga_s2bm_ard_3-2-1_53JKH_2019-09-21_final
2019-09-21 10:55:27	ga_s2bm_ard_3-2-1_52JGN_2019-09-21_final
2019-09-21 10:55:48	ga_s2bm_ard_3-2-1_52JEM_2019-09-21_final
2019-09-21 10:56:03	ga_s2bm_ard_3-2-1_52JEL_2019-09-21_final
2019-09-21 10:56:07	ga_s2bm_ard_3-2-1_53HKE_2019-09-21_final.stac-item
2019-09-21 10:56:21	ga_s2bm_ard_3-2-1_52HDK_2019-09-21_final.stac-item
2019-09-22 10:19:37	ga_s2bm_ard_3-2-1_54LZQ_2019-09-22_final
2019-09-22 10:19:41	ga_s2bm_ard_3-2-1_54LYQ_2019-09-22_final
2019-09-22 10:19:44	ga_s2bm_ard_3-2-1_54LXQ_2019-09-22_final
2019-09-22 10:19:51	ga_s2bm_ard_3-2-1_54LZP_2019-09-22_final
2019-09-22 10:20:06	ga_s2bm_ard_3-2-1_54LZN_2019-09-22_final
2019-09-22 10:20:10	ga_s2bm_ard_3-2-1_54LYN_2019-09-22_final
2019-09-22 10:20:20	ga_s2bm_ard_3-2-1_54LZM_2019-09-22_final
2019-09-22 10:20:24	ga_s2bm_ard_3-2-1_54LYM_2019-09-22_final
2019-09-22 10:20:27	ga_s2bm_ard_3-2-1_54LXM_2019-09-22_final
2019-09-22 10:20:30	ga_s2bm_ard_3-2-1_54LWM_2019-09-22_final
2019-09-22 10:20:56	ga_s2bm_ard_3-2-1_54LXK_2019-09-22_final
2019-09-22 10:21:00	ga_s2bm_ard_3-2-1_54LWK_2019-09-22_final
2019-09-22 10:21:00	ga_s2bm_ard_3-2-1_54LZJ_2019-09-22_final
2019-09-22 10:21:07	ga_s2bm_ard_3-2-1_54LYJ_2019-09-22_final
2019-09-22 10:21:11	ga_s2bm_ard_3-2-1_54LXJ_2019-09-22_final
2019-09-22 10:21:51	ga_s2bm_ard_3-2-1_54KYF_2019-09-22_final
2019-09-22 10:21:54	ga_s2bm_ard_3-2-1_54KXF_2019-09-22_final
2019-09-22 10:21:58	ga_s2bm_ard_3-2-1_54KWF_2019-09-22_final
2019-09-22 10:22:01	ga_s2bm_ard_3-2-1_54KVF_2019-09-22_final
2019-09-22 10:22:03	ga_s2bm_ard_3-2-1_54KYE_2019-09-22_final
2019-09-22 10:22:52	ga_s2bm_ard_3-2-1_54KXB_2019-09-22_final
2019-09-22 10:22:58	ga_s2bm_ard_3-2-1_54KVB_2019-09-22_final
2019-09-22 10:23:04	ga_s2bm_ard_3-2-1_54KWA_2019-09-22_final
2019-09-22 10:23:05	ga_s2bm_ard_3-2-1_54KVB_2019-09-22_final
2019-09-22 10:23:05	ga_s2bm_ard_3-2-1_54KVA_2019-09-22_final
2019-09-22 10:23:11	ga_s2bm_ard_3-2-1_54KWA_2019-09-22_final
2019-09-22 10:23:14	ga_s2bm_ard_3-2-1_54KVA_2019-09-22_final
2019-09-22 10:23:17	ga_s2bm_ard_3-2-1_54KXV_2019-09-22_final
2019-09-22 10:23:32	ga_s2bm_ard_3-2-1_54KUV_2019-09-22_final
2019-09-22 10:23:36	ga_s2bm_ard_3-2-1_54KTV_2019-09-22_final
2019-09-22 10:23:49	ga_s2bm_ard_3-2-1_54KTU_2019-09-22_final
2019-09-22 10:23:54	ga_s2bm_ard_3-2-1_54JWT_2019-09-22_final
2019-09-22 10:23:57	ga_s2bm_ard_3-2-1_54JVT_2019-09-22_final
2019-09-22 10:24:04	ga_s2bm_ard_3-2-1_54JTT_2019-09-22_final
2019-09-22 10:24:08	ga_s2bm_ard_3-2-1_54JWS_2019-09-22_final
2019-09-22 10:24:12	ga_s2bm_ard_3-2-1_54JVS_2019-09-22_final
2019-09-22 10:24:15	ga_s2bm_ard_3-2-1_54JUS_2019-09-22_final
2019-09-22 10:24:18	ga_s2bm_ard_3-2-1_53JRM_2019-09-22_final
2019-09-22 10:24:18	ga_s2bm_ard_3-2-1_54JTS_2019-09-22_final
2019-09-22 10:24:20	ga_s2bm_ard_3-2-1_54JWR_2019-09-22_final
2019-09-22 10:24:26	ga_s2bm_ard_3-2-1_54JVR_2019-09-22_final
2019-09-22 10:24:30	ga_s2bm_ard_3-2-1_54JUR_2019-09-22_final
2019-09-22 10:24:30	ga_s2bm_ard_3-2-1_54JWQ_2019-09-22_final
2019-09-22 10:24:41	ga_s2bm_ard_3-2-1_54JVQ_2019-09-22_final
2019-09-22 10:24:51	ga_s2bm_ard_3-2-1_53JQK_2019-09-22_final
2019-09-22 10:24:56	ga_s2bm_ard_3-2-1_54JVP_2019-09-22_final
2019-09-22 10:25:17	ga_s2bm_ard_3-2-1_54JTN_2019-09-22_final
2019-09-22 10:25:20	ga_s2bm_ard_3-2-1_53JQH_2019-09-22_final
2019-09-22 10:25:24	ga_s2bm_ard_3-2-1_54JVM_2019-09-22_final
2019-09-22 10:25:35	ga_s2bm_ard_3-2-1_54JVL_2019-09-22_final
2019-09-22 10:25:57	ga_s2bm_ard_3-2-1_54HUK_2019-09-22_final
2019-09-22 10:26:01	ga_s2bm_ard_3-2-1_54HTK_2019-09-22_final
2019-09-22 10:26:03	ga_s2bm_ard_3-2-1_53HQE_2019-09-22_final
2019-09-22 10:26:06	ga_s2bm_ard_3-2-1_53HPE_2019-09-22_final
2019-09-22 10:26:15	ga_s2bm_ard_3-2-1_54HTJ_2019-09-22_final
2019-09-22 10:26:17	ga_s2bm_ard_3-2-1_53HQD_2019-09-22_final
2019-09-22 10:26:26	ga_s2bm_ard_3-2-1_54HUH_2019-09-22_final
2019-09-22 10:26:30	ga_s2bm_ard_3-2-1_54HTH_2019-09-22_final
2019-09-22 10:26:32	ga_s2bm_ard_3-2-1_53HQC_2019-09-22_final
2019-09-22 10:26:40	ga_s2bm_ard_3-2-1_54HUG_2019-09-22_final
2019-09-22 10:26:40	ga_s2bm_ard_3-2-1_53HNC_2019-09-22_final
2019-09-22 10:26:46	ga_s2bm_ard_3-2-1_53HQB_2019-09-22_final
2019-09-22 10:26:53	ga_s2bm_ard_3-2-1_53HNB_2019-09-22_final
2019-09-22 10:27:11	ga_s2bm_ard_3-2-1_54HTE_2019-09-22_final.stac-item
2019-09-22 10:27:12	ga_s2bm_ard_3-2-1_53HQV_2019-09-22_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

Other products

All years