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
2019-09-15 10:32:19	ga_s2bm_ard_3-2-1_53KRV_2019-09-15_final
2019-09-15 10:32:23	ga_s2bm_ard_3-2-1_53KQV_2019-09-15_final
2019-09-15 10:32:29	ga_s2bm_ard_3-2-1_54KUD_2019-09-15_final
2019-09-15 10:32:37	ga_s2bm_ard_3-2-1_54KVC_2019-09-15_final
2019-09-15 10:32:47	ga_s2bm_ard_3-2-1_54KTC_2019-09-15_final
2019-09-15 10:32:48	ga_s2bm_ard_3-2-1_53KRT_2019-09-15_final
2019-09-15 10:32:51	ga_s2bm_ard_3-2-1_53KQT_2019-09-15_final
2019-09-15 10:32:58	ga_s2bm_ard_3-2-1_54KUB_2019-09-15_final
2019-09-15 10:33:02	ga_s2bm_ard_3-2-1_54KTB_2019-09-15_final
2019-09-15 10:33:02	ga_s2bm_ard_3-2-1_53KRS_2019-09-15_final
2019-09-15 10:33:06	ga_s2bm_ard_3-2-1_53KQS_2019-09-15_final
2019-09-15 10:33:12	ga_s2bm_ard_3-2-1_53KPS_2019-09-15_final
2019-09-15 10:33:13	ga_s2bm_ard_3-2-1_54KUA_2019-09-15_final
2019-09-15 10:33:17	ga_s2bm_ard_3-2-1_53KRR_2019-09-15_final
2019-09-15 10:33:24	ga_s2bm_ard_3-2-1_53KPR_2019-09-15_final
2019-09-15 10:33:28	ga_s2bm_ard_3-2-1_54KUV_2019-09-15_final
2019-09-15 10:33:31	ga_s2bm_ard_3-2-1_53KRQ_2019-09-15_final
2019-09-15 10:33:38	ga_s2bm_ard_3-2-1_53KPQ_2019-09-15_final
2019-09-15 10:33:45	ga_s2bm_ard_3-2-1_53KRP_2019-09-15_final
2019-09-15 10:33:52	ga_s2bm_ard_3-2-1_54JUT_2019-09-15_final
2019-09-15 10:33:53	ga_s2bm_ard_3-2-1_53KPP_2019-09-15_final
2019-09-15 10:34:00	ga_s2bm_ard_3-2-1_53JRN_2019-09-15_final
2019-09-15 10:34:07	ga_s2bm_ard_3-2-1_53JPN_2019-09-15_final
2019-09-15 10:34:14	ga_s2bm_ard_3-2-1_53JNN_2019-09-15_final
2019-09-15 10:34:14	ga_s2bm_ard_3-2-1_53JRM_2019-09-15_final
2019-09-15 10:34:25	ga_s2bm_ard_3-2-1_53JNM_2019-09-15_final
2019-09-15 10:34:36	ga_s2bm_ard_3-2-1_53JPL_2019-09-15_final
2019-09-15 10:35:16	ga_s2bm_ard_3-2-1_53JQH_2019-09-15_final
2019-09-15 10:35:38	ga_s2bm_ard_3-2-1_53JNG_2019-09-15_final
2019-09-15 10:35:41	ga_s2bm_ard_3-2-1_53JMG_2019-09-15_final
2019-09-15 10:35:52	ga_s2bm_ard_3-2-1_53JNF_2019-09-15_final
2019-09-15 10:36:21	ga_s2bm_ard_3-2-1_53HND_2019-09-15_final
2019-09-15 10:36:25	ga_s2bm_ard_3-2-1_53HMD_2019-09-15_final
2019-09-15 10:36:36	ga_s2bm_ard_3-2-1_53HNC_2019-09-15_final
2019-09-15 10:36:39	ga_s2bm_ard_3-2-1_53HMC_2019-09-15_final.stac-item
2019-09-15 10:37:09	ga_s2bm_ard_3-2-1_53HPV_2019-09-15_final.stac-item
2019-09-15 12:13:40	ga_s2bm_ard_3-2-1_50KKB_2019-09-15_final
2019-09-15 12:13:40	ga_s2bm_ard_3-2-1_49KHS_2019-09-15_final.stac-item
2019-09-15 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2019-09-15_final
2019-09-15 12:14:04	ga_s2bm_ard_3-2-1_49KHQ_2019-09-15_final
2019-09-15 12:14:10	ga_s2bm_ard_3-2-1_49KHQ_2019-09-15_final
2019-09-15 12:14:45	ga_s2bm_ard_3-2-1_49JFN_2019-09-15_final
2019-09-15 12:15:00	ga_s2bm_ard_3-2-1_49JFM_2019-09-15_final
2019-09-16 10:01:11	ga_s2bm_ard_3-2-1_55LCD_2019-09-16_final
2019-09-16 10:01:14	ga_s2bm_ard_3-2-1_55LFC_2019-09-16_final
2019-09-16 10:01:17	ga_s2bm_ard_3-2-1_55LEC_2019-09-16_final
2019-09-16 10:01:24	ga_s2bm_ard_3-2-1_55LCC_2019-09-16_final
2019-09-16 10:01:28	ga_s2bm_ard_3-2-1_55KFB_2019-09-16_final
2019-09-16 10:01:35	ga_s2bm_ard_3-2-1_55KDB_2019-09-16_final
2019-09-16 10:01:38	ga_s2bm_ard_3-2-1_55KCB_2019-09-16_final
2019-09-16 10:01:50	ga_s2bm_ard_3-2-1_55KDA_2019-09-16_final
2019-09-16 10:02:01	ga_s2bm_ard_3-2-1_55KEV_2019-09-16_final
2019-09-16 10:02:04	ga_s2bm_ard_3-2-1_55KDV_2019-09-16_final
2019-09-16 10:02:05	ga_s2bm_ard_3-2-1_55KFU_2019-09-16_final
2019-09-16 10:02:07	ga_s2bm_ard_3-2-1_55KCV_2019-09-16_final
2019-09-16 10:02:15	ga_s2bm_ard_3-2-1_55KBV_2019-09-16_final
2019-09-16 10:02:22	ga_s2bm_ard_3-2-1_55KCU_2019-09-16_final
2019-09-16 10:02:30	ga_s2bm_ard_3-2-1_55KET_2019-09-16_final
2019-09-16 10:02:39	ga_s2bm_ard_3-2-1_55KBT_2019-09-16_final
2019-09-16 10:02:41	ga_s2bm_ard_3-2-1_54KZC_2019-09-16_final
2019-09-16 10:02:44	ga_s2bm_ard_3-2-1_55KES_2019-09-16_final
2019-09-16 10:02:48	ga_s2bm_ard_3-2-1_55KDS_2019-09-16_final
2019-09-16 10:02:51	ga_s2bm_ard_3-2-1_55KCS_2019-09-16_final
2019-09-16 10:02:54	ga_s2bm_ard_3-2-1_55KBS_2019-09-16_final
2019-09-16 10:02:54	ga_s2bm_ard_3-2-1_54KZB_2019-09-16_final
2019-09-16 10:02:58	ga_s2bm_ard_3-2-1_55KER_2019-09-16_final
2019-09-16 10:03:02	ga_s2bm_ard_3-2-1_55KDR_2019-09-16_final
2019-09-16 10:03:06	ga_s2bm_ard_3-2-1_55KCR_2019-09-16_final
2019-09-16 10:03:09	ga_s2bm_ard_3-2-1_55KEQ_2019-09-16_final
2019-09-16 10:03:09	ga_s2bm_ard_3-2-1_54KZA_2019-09-16_final
2019-09-16 10:03:17	ga_s2bm_ard_3-2-1_55KDQ_2019-09-16_final
2019-09-16 10:03:20	ga_s2bm_ard_3-2-1_55KCQ_2019-09-16_final
2019-09-16 10:03:23	ga_s2bm_ard_3-2-1_55KBQ_2019-09-16_final
2019-09-16 10:03:24	ga_s2bm_ard_3-2-1_54KZV_2019-09-16_final
2019-09-16 10:03:31	ga_s2bm_ard_3-2-1_55KDP_2019-09-16_final
2019-09-16 10:03:38	ga_s2bm_ard_3-2-1_54KZU_2019-09-16_final
2019-09-16 10:03:46	ga_s2bm_ard_3-2-1_55JDN_2019-09-16_final
2019-09-16 10:03:49	ga_s2bm_ard_3-2-1_55JCN_2019-09-16_final
2019-09-16 10:03:52	ga_s2bm_ard_3-2-1_54JZT_2019-09-16_final
2019-09-16 10:03:52	ga_s2bm_ard_3-2-1_55JBN_2019-09-16_final
2019-09-16 10:04:04	ga_s2bm_ard_3-2-1_55JCM_2019-09-16_final
2019-09-16 10:04:07	ga_s2bm_ard_3-2-1_54JZS_2019-09-16_final
2019-09-16 10:04:23	ga_s2bm_ard_3-2-1_55JDK_2019-09-16_final
2019-09-16 10:04:32	ga_s2bm_ard_3-2-1_54JXR_2019-09-16_final
2019-09-16 10:05:05	ga_s2bm_ard_3-2-1_55JBH_2019-09-16_final
2019-09-16 10:05:33	ga_s2bm_ard_3-2-1_54JWM_2019-09-16_final
2019-09-16 10:05:45	ga_s2bm_ard_3-2-1_54JWL_2019-09-16_final
2019-09-16 10:06:04	ga_s2bm_ard_3-2-1_55HBD_2019-09-16_final
2019-09-16 10:06:06	ga_s2bm_ard_3-2-1_54HYJ_2019-09-16_final
2019-09-16 10:06:13	ga_s2bm_ard_3-2-1_54HWJ_2019-09-16_final
2019-09-16 10:06:18	ga_s2bm_ard_3-2-1_55HBC_2019-09-16_final
2019-09-16 10:06:20	ga_s2bm_ard_3-2-1_54HYH_2019-09-16_final
2019-09-16 10:06:28	ga_s2bm_ard_3-2-1_54HWH_2019-09-16_final
2019-09-16 10:06:32	ga_s2bm_ard_3-2-1_55HBB_2019-09-16_final
2019-09-16 10:06:34	ga_s2bm_ard_3-2-1_54HVH_2019-09-16_final
2019-09-16 10:06:34	ga_s2bm_ard_3-2-1_54HYG_2019-09-16_final
2019-09-16 10:06:57	ga_s2bm_ard_3-2-1_54HWF_2019-09-16_final
2019-09-16 10:07:00	ga_s2bm_ard_3-2-1_54HVF_2019-09-16_final
2019-09-16 10:07:07	ga_s2bm_ard_3-2-1_54HXE_2019-09-16_final
2019-09-16 10:07:11	ga_s2bm_ard_3-2-1_54HWE_2019-09-16_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