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
2019-03-19 10:31:16	ga_s2bm_ard_3-2-1_54LUJ_2019-03-19_final.stac-item
2019-03-19 10:31:45	ga_s2bm_ard_3-2-1_54KUG_2019-03-19_final
2019-03-19 10:31:56	ga_s2bm_ard_3-2-1_54KVF_2019-03-19_final
2019-03-19 10:32:02	ga_s2bm_ard_3-2-1_54KTF_2019-03-19_final
2019-03-19 10:32:03	ga_s2bm_ard_3-2-1_53KRA_2019-03-19_final
2019-03-19 10:32:10	ga_s2bm_ard_3-2-1_53KQA_2019-03-19_final
2019-03-19 10:32:17	ga_s2bm_ard_3-2-1_54KTE_2019-03-19_final
2019-03-19 10:32:18	ga_s2bm_ard_3-2-1_53KRV_2019-03-19_final
2019-03-19 10:32:21	ga_s2bm_ard_3-2-1_53KQV_2019-03-19_final
2019-03-19 10:32:36	ga_s2bm_ard_3-2-1_54KVC_2019-03-19_final
2019-03-19 10:33:01	ga_s2bm_ard_3-2-1_54KTB_2019-03-19_final
2019-03-19 10:33:05	ga_s2bm_ard_3-2-1_53KQS_2019-03-19_final
2019-03-19 10:33:12	ga_s2bm_ard_3-2-1_54KUA_2019-03-19_final
2019-03-19 10:33:15	ga_s2bm_ard_3-2-1_53KRR_2019-03-19_final
2019-03-19 10:33:23	ga_s2bm_ard_3-2-1_53KPR_2019-03-19_final
2019-03-19 10:33:26	ga_s2bm_ard_3-2-1_54KUV_2019-03-19_final
2019-03-19 10:33:30	ga_s2bm_ard_3-2-1_54KTV_2019-03-19_final
2019-03-19 10:33:30	ga_s2bm_ard_3-2-1_53KRQ_2019-03-19_final
2019-03-19 10:33:33	ga_s2bm_ard_3-2-1_53KQQ_2019-03-19_final
2019-03-19 10:33:37	ga_s2bm_ard_3-2-1_53KPQ_2019-03-19_final
2019-03-19 10:33:40	ga_s2bm_ard_3-2-1_54KUU_2019-03-19_final
2019-03-19 10:33:52	ga_s2bm_ard_3-2-1_53KPP_2019-03-19_final
2019-03-19 10:33:58	ga_s2bm_ard_3-2-1_53JRN_2019-03-19_final
2019-03-19 10:33:59	ga_s2bm_ard_3-2-1_54JTT_2019-03-19_final
2019-03-19 10:34:20	ga_s2bm_ard_3-2-1_53JPM_2019-03-19_final
2019-03-19 10:34:24	ga_s2bm_ard_3-2-1_53JNM_2019-03-19_final
2019-03-19 10:34:28	ga_s2bm_ard_3-2-1_54JTR_2019-03-19_final
2019-03-19 10:34:31	ga_s2bm_ard_3-2-1_53JQL_2019-03-19_final
2019-03-19 10:34:42	ga_s2bm_ard_3-2-1_54JTQ_2019-03-19_final
2019-03-19 10:34:46	ga_s2bm_ard_3-2-1_53JQK_2019-03-19_final
2019-03-19 10:34:53	ga_s2bm_ard_3-2-1_53JNK_2019-03-19_final
2019-03-19 10:34:56	ga_s2bm_ard_3-2-1_54JTP_2019-03-19_final
2019-03-19 10:35:00	ga_s2bm_ard_3-2-1_53JQJ_2019-03-19_final
2019-03-19 10:35:04	ga_s2bm_ard_3-2-1_53JPJ_2019-03-19_final
2019-03-19 10:35:22	ga_s2bm_ard_3-2-1_53JNH_2019-03-19_final
2019-03-19 10:35:26	ga_s2bm_ard_3-2-1_53JMH_2019-03-19_final
2019-03-19 10:35:29	ga_s2bm_ard_3-2-1_53JQG_2019-03-19_final
2019-03-19 10:35:47	ga_s2bm_ard_3-2-1_53JPF_2019-03-19_final
2019-03-19 10:35:54	ga_s2bm_ard_3-2-1_53JMF_2019-03-19_final
2019-03-19 10:36:05	ga_s2bm_ard_3-2-1_53HNE_2019-03-19_final
2019-03-19 10:36:09	ga_s2bm_ard_3-2-1_53HME_2019-03-19_final
2019-03-19 10:36:15	ga_s2bm_ard_3-2-1_53HLE_2019-03-19_final
2019-03-19 10:36:34	ga_s2bm_ard_3-2-1_53HNC_2019-03-19_final
2019-03-19 10:36:38	ga_s2bm_ard_3-2-1_53HMC_2019-03-19_final.stac-item
2019-03-19 10:36:49	ga_s2bm_ard_3-2-1_53HNB_2019-03-19_final
2019-03-19 10:36:53	ga_s2bm_ard_3-2-1_53HMB_2019-03-19_final.stac-item
2019-03-19 10:36:57	ga_s2bm_ard_3-2-1_53HPA_2019-03-19_final
2019-03-19 12:13:38	ga_s2bm_ard_3-2-1_50KKB_2019-03-19_final
2019-03-19 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2019-03-19_final
2019-03-19 12:14:06	ga_s2bm_ard_3-2-1_50KKV_2019-03-19_final
2019-03-19 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2019-03-19_final
2019-03-19 12:14:40	ga_s2bm_ard_3-2-1_49JGN_2019-03-19_final
2019-03-19 12:14:59	ga_s2bm_ard_3-2-1_49JFM_2019-03-19_final
2019-03-19 12:15:19	ga_s2bm_ard_3-2-1_49JGK_2019-03-19_final
2019-03-20 10:01:11	ga_s2bm_ard_3-2-1_55LCD_2019-03-20_final
2019-03-20 10:01:28	ga_s2bm_ard_3-2-1_55KFB_2019-03-20_final
2019-03-20 10:01:37	ga_s2bm_ard_3-2-1_55KCB_2019-03-20_final
2019-03-20 10:01:49	ga_s2bm_ard_3-2-1_55KDA_2019-03-20_final
2019-03-20 10:02:14	ga_s2bm_ard_3-2-1_55KBV_2019-03-20_final
2019-03-20 10:02:29	ga_s2bm_ard_3-2-1_55KET_2019-03-20_final
2019-03-20 10:02:33	ga_s2bm_ard_3-2-1_55KDT_2019-03-20_final
2019-03-20 10:02:36	ga_s2bm_ard_3-2-1_55KCT_2019-03-20_final
2019-03-20 10:02:47	ga_s2bm_ard_3-2-1_55KDS_2019-03-20_final
2019-03-20 10:02:53	ga_s2bm_ard_3-2-1_55KBS_2019-03-20_final
2019-03-20 10:02:57	ga_s2bm_ard_3-2-1_55KER_2019-03-20_final
2019-03-20 10:03:02	ga_s2bm_ard_3-2-1_55KDR_2019-03-20_final
2019-03-20 10:03:05	ga_s2bm_ard_3-2-1_55KCR_2019-03-20_final
2019-03-20 10:03:08	ga_s2bm_ard_3-2-1_55KEQ_2019-03-20_final
2019-03-20 10:03:08	ga_s2bm_ard_3-2-1_54KZA_2019-03-20_final
2019-03-20 10:03:16	ga_s2bm_ard_3-2-1_55KDQ_2019-03-20_final
2019-03-20 10:03:20	ga_s2bm_ard_3-2-1_55KCQ_2019-03-20_final
2019-03-20 10:03:23	ga_s2bm_ard_3-2-1_55KBQ_2019-03-20_final
2019-03-20 10:03:34	ga_s2bm_ard_3-2-1_55KCP_2019-03-20_final
2019-03-20 10:03:52	ga_s2bm_ard_3-2-1_54JZT_2019-03-20_final
2019-03-20 10:03:52	ga_s2bm_ard_3-2-1_55JBN_2019-03-20_final
2019-03-20 10:04:21	ga_s2bm_ard_3-2-1_55JBL_2019-03-20_final
2019-03-20 10:04:23	ga_s2bm_ard_3-2-1_55JDK_2019-03-20_final
2019-03-20 10:04:24	ga_s2bm_ard_3-2-1_54JYR_2019-03-20_final
2019-03-20 10:04:36	ga_s2bm_ard_3-2-1_55JBK_2019-03-20_final
2019-03-20 10:04:39	ga_s2bm_ard_3-2-1_54JYQ_2019-03-20_final
2019-03-20 10:04:47	ga_s2bm_ard_3-2-1_55JCJ_2019-03-20_final
2019-03-20 10:04:50	ga_s2bm_ard_3-2-1_55JBJ_2019-03-20_final
2019-03-20 10:04:53	ga_s2bm_ard_3-2-1_54JYP_2019-03-20_final
2019-03-20 10:04:56	ga_s2bm_ard_3-2-1_54JXP_2019-03-20_final
2019-03-20 10:05:22	ga_s2bm_ard_3-2-1_54JYM_2019-03-20_final
2019-03-20 10:05:28	ga_s2bm_ard_3-2-1_55JCF_2019-03-20_final
2019-03-20 10:05:40	ga_s2bm_ard_3-2-1_54JXL_2019-03-20_final
2019-03-20 10:05:58	ga_s2bm_ard_3-2-1_54HWK_2019-03-20_final
2019-03-20 10:06:03	ga_s2bm_ard_3-2-1_55HBD_2019-03-20_final
2019-03-20 10:06:05	ga_s2bm_ard_3-2-1_54HYJ_2019-03-20_final
2019-03-20 10:06:18	ga_s2bm_ard_3-2-1_55HBC_2019-03-20_final
2019-03-20 10:06:19	ga_s2bm_ard_3-2-1_54HYH_2019-03-20_final
2019-03-20 10:06:27	ga_s2bm_ard_3-2-1_54HWH_2019-03-20_final
2019-03-20 10:06:33	ga_s2bm_ard_3-2-1_54HVH_2019-03-20_final
2019-03-20 10:06:42	ga_s2bm_ard_3-2-1_54HWG_2019-03-20_final
2019-03-20 10:06:45	ga_s2bm_ard_3-2-1_55HBA_2019-03-20_final
2019-03-20 10:06:45	ga_s2bm_ard_3-2-1_54HVG_2019-03-20_final
2019-03-20 10:06:49	ga_s2bm_ard_3-2-1_54HYF_2019-03-20_final
2019-03-20 10:06:52	ga_s2bm_ard_3-2-1_54HXF_2019-03-20_final
2019-03-20 10:06:56	ga_s2bm_ard_3-2-1_54HWF_2019-03-20_final

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