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 10:51:44	ga_s2bm_ard_3-2-1_53KNB_2019-09-21_final
2019-09-21 10:51:46	ga_s2bm_ard_3-2-1_53KMB_2019-09-21_final
2019-09-21 10:51:51	ga_s2bm_ard_3-2-1_53KNB_2019-09-21_final
2019-09-21 10:51:54	ga_s2bm_ard_3-2-1_53KMB_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 10:52:37	ga_s2bm_ard_3-2-1_53KMU_2019-09-21_final
2019-09-21 10:52:40	ga_s2bm_ard_3-2-1_53KLU_2019-09-21_final
2019-09-21 10:52:44	ga_s2bm_ard_3-2-1_53KKU_2019-09-21_final
2019-09-21 10:52:44	ga_s2bm_ard_3-2-1_52KHD_2019-09-21_final
2019-09-21 10:52:45	ga_s2bm_ard_3-2-1_53KNT_2019-09-21_final
2019-09-21 10:52:51	ga_s2bm_ard_3-2-1_53KMT_2019-09-21_final
2019-09-21 10:52:55	ga_s2bm_ard_3-2-1_53KLT_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 10:53:10	ga_s2bm_ard_3-2-1_53KLS_2019-09-21_final
2019-09-21 10:53:13	ga_s2bm_ard_3-2-1_52KHB_2019-09-21_final
2019-09-21 10:53:28	ga_s2bm_ard_3-2-1_52KHA_2019-09-21_final
2019-09-21 10:53:35	ga_s2bm_ard_3-2-1_53KMQ_2019-09-21_final
2019-09-21 10:53:42	ga_s2bm_ard_3-2-1_52KHV_2019-09-21_final
2019-09-21 10:53:49	ga_s2bm_ard_3-2-1_53KMP_2019-09-21_final
2019-09-21 10:54:11	ga_s2bm_ard_3-2-1_52JHT_2019-09-21_final
2019-09-21 10:54:25	ga_s2bm_ard_3-2-1_52JHS_2019-09-21_final
2019-09-21 10:54:37	ga_s2bm_ard_3-2-1_53JLL_2019-09-21_final
2019-09-21 10:54:40	ga_s2bm_ard_3-2-1_53JKL_2019-09-21_final
2019-09-21 10:54:43	ga_s2bm_ard_3-2-1_52JGR_2019-09-21_final
2019-09-21 10:54:47	ga_s2bm_ard_3-2-1_52JFR_2019-09-21_final
2019-09-21 10:54:51	ga_s2bm_ard_3-2-1_53JLK_2019-09-21_final
2019-09-21 10:54:55	ga_s2bm_ard_3-2-1_53JKK_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 10:55:04	ga_s2bm_ard_3-2-1_53JLJ_2019-09-21_final
2019-09-21 10:55:09	ga_s2bm_ard_3-2-1_53JKJ_2019-09-21_final
2019-09-21 10:55:12	ga_s2bm_ard_3-2-1_52JGP_2019-09-21_final
2019-09-21 10:55:48	ga_s2bm_ard_3-2-1_52JEM_2019-09-21_final
2019-09-21 10:56:07	ga_s2bm_ard_3-2-1_53HKE_2019-09-21_final.stac-item
2019-09-21 10:56:10	ga_s2bm_ard_3-2-1_52HGK_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 10:20:13	ga_s2bm_ard_3-2-1_54LXN_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 10:21:22	ga_s2bm_ard_3-2-1_54LYH_2019-09-22_final
2019-09-22 10:21:40	ga_s2bm_ard_3-2-1_54KXG_2019-09-22_final
2019-09-22 10:21:43	ga_s2bm_ard_3-2-1_54KWG_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 10:22:13	ga_s2bm_ard_3-2-1_54KYD_2019-09-22_final
2019-09-22 10:22:27	ga_s2bm_ard_3-2-1_54KWD_2019-09-22_final
2019-09-22 10:22:30	ga_s2bm_ard_3-2-1_54KVD_2019-09-22_final
2019-09-22 10:22:38	ga_s2bm_ard_3-2-1_54KXC_2019-09-22_final
2019-09-22 10:22:41	ga_s2bm_ard_3-2-1_54KWC_2019-09-22_final
2019-09-22 10:22:45	ga_s2bm_ard_3-2-1_54KVC_2019-09-22_final
2019-09-22 10:22:48	ga_s2bm_ard_3-2-1_54KUC_2019-09-22_final
2019-09-22 10:22:58	ga_s2bm_ard_3-2-1_54KVB_2019-09-22_final
2019-09-22 10:23:00	ga_s2bm_ard_3-2-1_54KUB_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 10:23:07	ga_s2bm_ard_3-2-1_54KUB_2019-09-22_final
2019-09-22 10:23:25	ga_s2bm_ard_3-2-1_54KWV_2019-09-22_final
2019-09-22 10:23:28	ga_s2bm_ard_3-2-1_54KVV_2019-09-22_final
2019-09-22 10:23:39	ga_s2bm_ard_3-2-1_54KWU_2019-09-22_final
2019-09-22 10:23:43	ga_s2bm_ard_3-2-1_54KVU_2019-09-22_final
2019-09-22 10:23:50	ga_s2bm_ard_3-2-1_53KRP_2019-09-22_final
2019-09-22 10:24:03	ga_s2bm_ard_3-2-1_53JRN_2019-09-22_final
2019-09-22 10:24:18	ga_s2bm_ard_3-2-1_53JRM_2019-09-22_final
2019-09-22 10:24:20	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 10:24:33	ga_s2bm_ard_3-2-1_54JTR_2019-09-22_final
2019-09-22 10:24:39	ga_s2bm_ard_3-2-1_53JQL_2019-09-22_final
2019-09-22 10:24:45	ga_s2bm_ard_3-2-1_54JUQ_2019-09-22_final
2019-09-22 10:24:48	ga_s2bm_ard_3-2-1_54JTQ_2019-09-22_final
2019-09-22 10:24:51	ga_s2bm_ard_3-2-1_53JQK_2019-09-22_final
2019-09-22 10:24:59	ga_s2bm_ard_3-2-1_54JUP_2019-09-22_final
2019-09-22 10:25:02	ga_s2bm_ard_3-2-1_54JTP_2019-09-22_final
2019-09-22 10:25:05	ga_s2bm_ard_3-2-1_53JQJ_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 10:26:01	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 10:26:12	ga_s2bm_ard_3-2-1_54HUJ_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 10:26:21	ga_s2bm_ard_3-2-1_53HPD_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 10:26:35	ga_s2bm_ard_3-2-1_53HPC_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 10:26:50	ga_s2bm_ard_3-2-1_53HPB_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

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