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
2019-10-28 10:41:56	ga_s2bm_ard_3-2-1_53KPB_2019-10-28_final
2019-10-28 10:42:00	ga_s2bm_ard_3-2-1_53KRA_2019-10-28_final
2019-10-28 10:42:08	ga_s2bm_ard_3-2-1_53KPA_2019-10-28_final
2019-10-28 10:42:11	ga_s2bm_ard_3-2-1_53KNA_2019-10-28_final
2019-10-28 10:42:13	ga_s2bm_ard_3-2-1_53KRV_2019-10-28_final
2019-10-28 10:42:18	ga_s2bm_ard_3-2-1_53KQV_2019-10-28_final
2019-10-28 10:42:22	ga_s2bm_ard_3-2-1_53KPV_2019-10-28_final
2019-10-28 10:42:26	ga_s2bm_ard_3-2-1_53KNV_2019-10-28_final
2019-10-28 10:42:51	ga_s2bm_ard_3-2-1_53KPT_2019-10-28_final
2019-10-28 10:42:54	ga_s2bm_ard_3-2-1_53KNT_2019-10-28_final
2019-10-28 10:42:57	ga_s2bm_ard_3-2-1_53KMT_2019-10-28_final
2019-10-28 10:43:02	ga_s2bm_ard_3-2-1_53KQS_2019-10-28_final
2019-10-28 10:43:09	ga_s2bm_ard_3-2-1_53KNS_2019-10-28_final
2019-10-28 10:43:12	ga_s2bm_ard_3-2-1_53KMS_2019-10-28_final
2019-10-28 10:43:15	ga_s2bm_ard_3-2-1_53KQR_2019-10-28_final
2019-10-28 10:43:20	ga_s2bm_ard_3-2-1_53KPR_2019-10-28_final
2019-10-28 10:43:24	ga_s2bm_ard_3-2-1_53KNR_2019-10-28_final
2019-10-28 10:43:34	ga_s2bm_ard_3-2-1_53KPQ_2019-10-28_final
2019-10-28 10:43:38	ga_s2bm_ard_3-2-1_53KNQ_2019-10-28_final
2019-10-28 10:43:41	ga_s2bm_ard_3-2-1_53KMQ_2019-10-28_final
2019-10-28 10:43:46	ga_s2bm_ard_3-2-1_53KLQ_2019-10-28_final
2019-10-28 10:43:53	ga_s2bm_ard_3-2-1_53KNP_2019-10-28_final
2019-10-28 10:43:56	ga_s2bm_ard_3-2-1_53KMP_2019-10-28_final
2019-10-28 10:44:07	ga_s2bm_ard_3-2-1_53JNN_2019-10-28_final
2019-10-28 10:44:11	ga_s2bm_ard_3-2-1_53JMN_2019-10-28_final
2019-10-28 10:44:17	ga_s2bm_ard_3-2-1_53JPM_2019-10-28_final
2019-10-28 10:44:28	ga_s2bm_ard_3-2-1_53JLM_2019-10-28_final
2019-10-28 10:44:36	ga_s2bm_ard_3-2-1_53JNL_2019-10-28_final
2019-10-28 10:44:40	ga_s2bm_ard_3-2-1_53JML_2019-10-28_final
2019-10-28 10:44:57	ga_s2bm_ard_3-2-1_53JLK_2019-10-28_final
2019-10-28 10:45:38	ga_s2bm_ard_3-2-1_53JMG_2019-10-28_final
2019-10-28 10:45:41	ga_s2bm_ard_3-2-1_53JLG_2019-10-28_final
2019-10-28 10:46:10	ga_s2bm_ard_3-2-1_53HLE_2019-10-28_final
2019-10-29 10:09:59	ga_s2bm_ard_3-2-1_54LZP_2019-10-29_final
2019-10-29 10:10:26	ga_s2bm_ard_3-2-1_54LZM_2019-10-29_final
2019-10-29 10:10:51	ga_s2bm_ard_3-2-1_55LCE_2019-10-29_final
2019-10-29 10:10:54	ga_s2bm_ard_3-2-1_55LBE_2019-10-29_final
2019-10-29 10:10:56	ga_s2bm_ard_3-2-1_54LZK_2019-10-29_final
2019-10-29 10:11:01	ga_s2bm_ard_3-2-1_54LYK_2019-10-29_final
2019-10-29 10:11:06	ga_s2bm_ard_3-2-1_55LCD_2019-10-29_final
2019-10-29 10:11:13	ga_s2bm_ard_3-2-1_54LYJ_2019-10-29_final
2019-10-29 10:11:34	ga_s2bm_ard_3-2-1_55KCB_2019-10-29_final
2019-10-29 10:11:39	ga_s2bm_ard_3-2-1_54KZG_2019-10-29_final
2019-10-29 10:11:49	ga_s2bm_ard_3-2-1_55KCA_2019-10-29_final
2019-10-29 10:11:54	ga_s2bm_ard_3-2-1_54KZF_2019-10-29_final
2019-10-29 10:12:03	ga_s2bm_ard_3-2-1_54KXF_2019-10-29_final
2019-10-29 10:12:07	ga_s2bm_ard_3-2-1_55KBV_2019-10-29_final
2019-10-29 10:12:08	ga_s2bm_ard_3-2-1_54KZE_2019-10-29_final
2019-10-29 10:12:11	ga_s2bm_ard_3-2-1_54KYE_2019-10-29_final
2019-10-29 10:12:15	ga_s2bm_ard_3-2-1_54KXE_2019-10-29_final
2019-10-29 10:12:29	ga_s2bm_ard_3-2-1_55KCT_2019-10-29_final
2019-10-29 10:12:36	ga_s2bm_ard_3-2-1_55KBT_2019-10-29_final
2019-10-29 10:12:37	ga_s2bm_ard_3-2-1_54KZC_2019-10-29_final
2019-10-29 10:12:40	ga_s2bm_ard_3-2-1_54KYC_2019-10-29_final
2019-10-29 10:12:44	ga_s2bm_ard_3-2-1_54KXC_2019-10-29_final
2019-10-29 10:12:50	ga_s2bm_ard_3-2-1_55KBS_2019-10-29_final
2019-10-29 10:12:51	ga_s2bm_ard_3-2-1_54KZB_2019-10-29_final
2019-10-29 10:12:54	ga_s2bm_ard_3-2-1_54KYB_2019-10-29_final
2019-10-29 10:12:59	ga_s2bm_ard_3-2-1_55KBS_2019-10-29_final
2019-10-29 10:12:59	ga_s2bm_ard_3-2-1_55KBR_2019-10-29_final
2019-10-29 10:12:59	ga_s2bm_ard_3-2-1_54KZA_2019-10-29_final
2019-10-29 10:13:00	ga_s2bm_ard_3-2-1_54KZB_2019-10-29_final
2019-10-29 10:13:01	ga_s2bm_ard_3-2-1_54KWB_2019-10-29_final
2019-10-29 10:13:01	ga_s2bm_ard_3-2-1_54KYB_2019-10-29_final
2019-10-29 10:13:01	ga_s2bm_ard_3-2-1_54KYA_2019-10-29_final
2019-10-29 10:13:05	ga_s2bm_ard_3-2-1_54KWB_2019-10-29_final
2019-10-29 10:13:06	ga_s2bm_ard_3-2-1_55KBR_2019-10-29_final
2019-10-29 10:13:06	ga_s2bm_ard_3-2-1_54KZA_2019-10-29_final
2019-10-29 10:13:09	ga_s2bm_ard_3-2-1_54KYA_2019-10-29_final
2019-10-29 10:13:13	ga_s2bm_ard_3-2-1_54KXA_2019-10-29_final
2019-10-29 10:13:20	ga_s2bm_ard_3-2-1_54KZV_2019-10-29_final
2019-10-29 10:13:27	ga_s2bm_ard_3-2-1_54KXV_2019-10-29_final
2019-10-29 10:13:30	ga_s2bm_ard_3-2-1_54KWV_2019-10-29_final
2019-10-29 10:13:33	ga_s2bm_ard_3-2-1_55KBP_2019-10-29_final
2019-10-29 10:13:34	ga_s2bm_ard_3-2-1_54KZU_2019-10-29_final
2019-10-29 10:13:38	ga_s2bm_ard_3-2-1_54KYU_2019-10-29_final
2019-10-29 10:13:45	ga_s2bm_ard_3-2-1_55JBN_2019-10-29_final
2019-10-29 10:13:45	ga_s2bm_ard_3-2-1_54KWU_2019-10-29_final
2019-10-29 10:13:46	ga_s2bm_ard_3-2-1_54JZT_2019-10-29_final
2019-10-29 10:13:52	ga_s2bm_ard_3-2-1_54JYT_2019-10-29_final
2019-10-29 10:14:00	ga_s2bm_ard_3-2-1_54JWT_2019-10-29_final
2019-10-29 10:14:06	ga_s2bm_ard_3-2-1_54JVT_2019-10-29_final
2019-10-29 10:14:07	ga_s2bm_ard_3-2-1_54JYS_2019-10-29_final
2019-10-29 10:14:11	ga_s2bm_ard_3-2-1_54JXS_2019-10-29_final
2019-10-29 10:14:14	ga_s2bm_ard_3-2-1_54JWS_2019-10-29_final
2019-10-29 10:14:18	ga_s2bm_ard_3-2-1_54JVS_2019-10-29_final
2019-10-29 10:14:22	ga_s2bm_ard_3-2-1_54JYR_2019-10-29_final
2019-10-29 10:14:29	ga_s2bm_ard_3-2-1_54JWR_2019-10-29_final
2019-10-29 10:14:32	ga_s2bm_ard_3-2-1_54JVR_2019-10-29_final
2019-10-29 10:14:40	ga_s2bm_ard_3-2-1_54JXQ_2019-10-29_final
2019-10-29 10:15:23	ga_s2bm_ard_3-2-1_54JXM_2019-10-29_final
2019-10-29 10:15:27	ga_s2bm_ard_3-2-1_54JWM_2019-10-29_final
2019-10-29 10:15:30	ga_s2bm_ard_3-2-1_54JVM_2019-10-29_final
2019-10-29 10:15:33	ga_s2bm_ard_3-2-1_54JUM_2019-10-29_final
2019-10-29 10:15:41	ga_s2bm_ard_3-2-1_54JWL_2019-10-29_final
2019-10-29 10:15:45	ga_s2bm_ard_3-2-1_54JVL_2019-10-29_final
2019-10-29 10:15:51	ga_s2bm_ard_3-2-1_54HXK_2019-10-29_final
2019-10-29 10:16:03	ga_s2bm_ard_3-2-1_54HUK_2019-10-29_final
2019-10-29 10:16:32	ga_s2bm_ard_3-2-1_54HUH_2019-10-29_final
2019-10-29 10:16:49	ga_s2bm_ard_3-2-1_54HTG_2019-10-29_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