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
2021-07-02 10:53:01	ga_s2bm_ard_3-2-1_52KHC_2021-07-02_final
2021-08-02 10:24:05	ga_s2bm_ard_3-2-1_53JRN_2021-08-02_final
2021-08-03 11:31:19	ga_s2bm_ard_3-2-1_52LBK_2021-08-03_final
2021-08-03 11:31:37	ga_s2bm_ard_3-2-1_51LZD_2021-08-03_final
2021-08-03 11:31:58	ga_s2bm_ard_3-2-1_51LXC_2021-08-03_final
2021-08-03 11:32:16	ga_s2bm_ard_3-2-1_51KWB_2021-08-03_final
2021-08-03 11:32:30	ga_s2bm_ard_3-2-1_51KWA_2021-08-03_final
2021-08-03 11:35:32	ga_s2bm_ard_3-2-1_51JUJ_2021-08-03_final
2021-08-03 11:35:38	ga_s2bm_ard_3-2-1_50JQP_2021-08-03_final
2021-08-05 10:36:33	ga_s2bm_ard_3-2-1_53HPC_2021-08-05_final
2021-08-05 12:15:12	ga_s2bm_ard_3-2-1_49JGL_2021-08-05_final
2021-08-06 11:42:00	ga_s2bm_ard_3-2-1_51LVC_2021-08-06_final
2021-08-06 11:42:10	ga_s2bm_ard_3-2-1_51KWB_2021-08-06_final
2021-08-06 11:42:22	ga_s2bm_ard_3-2-1_51KWA_2021-08-06_final
2021-08-06 11:42:32	ga_s2bm_ard_3-2-1_51KUA_2021-08-06_final
2021-08-06 11:43:04	ga_s2bm_ard_3-2-1_51KTU_2021-08-06_final
2021-08-06 11:43:05	ga_s2bm_ard_3-2-1_50KRD_2021-08-06_final
2021-08-06 11:45:08	ga_s2bm_ard_3-2-1_50JPR_2021-08-06_final
2021-08-07 11:11:38	ga_s2bm_ard_3-2-1_52LDJ_2021-08-07_final
2021-08-08 10:42:58	ga_s2bm_ard_3-2-1_53KNT_2021-08-08_final
2021-08-08 10:43:34	ga_s2bm_ard_3-2-1_53KPQ_2021-08-08_final
2021-08-08 10:43:49	ga_s2bm_ard_3-2-1_53KPP_2021-08-08_final
2021-08-09 11:52:55	ga_s2bm_ard_3-2-1_51KTU_2021-08-09_final
2021-08-09 11:53:00	ga_s2bm_ard_3-2-1_50KRD_2021-08-09_final
2021-08-09 11:55:21	ga_s2bm_ard_3-2-1_50JNQ_2021-08-09_final
2021-08-10 11:21:25	ga_s2bm_ard_3-2-1_52LBK_2021-08-10_final
2021-08-10 11:21:33	ga_s2bm_ard_3-2-1_52LDJ_2021-08-10_final
2021-08-10 11:21:41	ga_s2bm_ard_3-2-1_51LZD_2021-08-10_final
2021-08-10 11:25:32	ga_s2bm_ard_3-2-1_51JVJ_2021-08-10_final
2021-08-10 11:25:39	ga_s2bm_ard_3-2-1_51JXH_2021-08-10_final
2021-08-12 12:04:45	ga_s2bm_ard_3-2-1_50JMS_2021-08-12_final
2021-08-13 11:31:18	ga_s2bm_ard_3-2-1_52LBK_2021-08-13_final
2021-08-13 11:31:36	ga_s2bm_ard_3-2-1_51LZD_2021-08-13_final
2021-08-13 11:31:57	ga_s2bm_ard_3-2-1_51LXC_2021-08-13_final
2021-08-13 11:32:15	ga_s2bm_ard_3-2-1_51KWB_2021-08-13_final
2021-08-13 11:32:29	ga_s2bm_ard_3-2-1_51KWA_2021-08-13_final
2021-08-13 11:32:33	ga_s2bm_ard_3-2-1_51KVA_2021-08-13_final
2021-08-13 11:35:13	ga_s2bm_ard_3-2-1_51JVK_2021-08-13_final
2021-08-13 11:35:19	ga_s2bm_ard_3-2-1_51JTK_2021-08-13_final
2021-08-15 10:35:38	ga_s2bm_ard_3-2-1_53JNG_2021-08-15_final
2021-08-16 11:41:59	ga_s2bm_ard_3-2-1_51LVC_2021-08-16_final
2021-08-16 11:42:09	ga_s2bm_ard_3-2-1_51KWB_2021-08-16_final
2021-08-16 11:42:21	ga_s2bm_ard_3-2-1_51KWA_2021-08-16_final
2021-08-16 11:42:31	ga_s2bm_ard_3-2-1_51KUA_2021-08-16_final
2021-08-16 11:43:03	ga_s2bm_ard_3-2-1_51KTU_2021-08-16_final
2021-08-16 11:43:04	ga_s2bm_ard_3-2-1_50KRD_2021-08-16_final
2021-08-16 11:44:49	ga_s2bm_ard_3-2-1_50JQS_2021-08-16_final
2021-08-16 11:45:32	ga_s2bm_ard_3-2-1_50JQP_2021-08-16_final
2021-08-17 11:10:25	ga_s2bm_ard_3-2-1_52LHN_2021-08-17_final
2021-08-17 11:11:37	ga_s2bm_ard_3-2-1_52LDJ_2021-08-17_final
2021-08-17 11:15:44	ga_s2bm_ard_3-2-1_51JXH_2021-08-17_final
2021-08-18 10:43:48	ga_s2bm_ard_3-2-1_53KPP_2021-08-18_final
2021-08-19 11:52:53	ga_s2bm_ard_3-2-1_51KTU_2021-08-19_final
2021-08-19 11:52:58	ga_s2bm_ard_3-2-1_50KRD_2021-08-19_final
2021-08-19 11:54:47	ga_s2bm_ard_3-2-1_50JPS_2021-08-19_final
2021-08-19 11:54:54	ga_s2bm_ard_3-2-1_50JMS_2021-08-19_final
2021-08-19 11:55:52	ga_s2bm_ard_3-2-1_50JMN_2021-08-19_final
2021-08-20 11:21:23	ga_s2bm_ard_3-2-1_52LBK_2021-08-20_final
2021-08-20 11:21:31	ga_s2bm_ard_3-2-1_52LDJ_2021-08-20_final
2021-08-20 11:21:39	ga_s2bm_ard_3-2-1_51LZD_2021-08-20_final
2021-08-20 11:23:27	ga_s2bm_ard_3-2-1_51KXS_2021-08-20_final
2021-08-20 11:25:16	ga_s2bm_ard_3-2-1_51JVK_2021-08-20_final
2021-08-20 11:25:38	ga_s2bm_ard_3-2-1_51JXH_2021-08-20_final
2021-08-21 10:52:44	ga_s2bm_ard_3-2-1_53KNT_2021-08-21_final
2021-08-21 10:55:01	ga_s2bm_ard_3-2-1_52JFQ_2021-08-21_final
2021-08-22 12:05:50	ga_s2bm_ard_3-2-1_50JLN_2021-08-22_final
2021-08-23 11:31:17	ga_s2bm_ard_3-2-1_52LBK_2021-08-23_final
2021-08-23 11:31:34	ga_s2bm_ard_3-2-1_51LZD_2021-08-23_final
2021-08-23 11:31:55	ga_s2bm_ard_3-2-1_51LXC_2021-08-23_final
2021-08-23 11:32:13	ga_s2bm_ard_3-2-1_51KWB_2021-08-23_final
2021-08-23 11:32:28	ga_s2bm_ard_3-2-1_51KWA_2021-08-23_final
2021-08-23 11:32:31	ga_s2bm_ard_3-2-1_51KVA_2021-08-23_final
2021-08-23 11:34:57	ga_s2bm_ard_3-2-1_51JVL_2021-08-23_final
2021-08-23 11:35:36	ga_s2bm_ard_3-2-1_50JQP_2021-08-23_final
2021-08-23 11:35:49	ga_s2bm_ard_3-2-1_50JQN_2021-08-23_final
2021-08-24 11:00:36	ga_s2bm_ard_3-2-1_52LGN_2021-08-24_final
2021-08-25 10:33:51	ga_s2bm_ard_3-2-1_53KPP_2021-08-25_final
2021-08-25 10:33:58	ga_s2bm_ard_3-2-1_53JRN_2021-08-25_final
2021-08-25 10:34:06	ga_s2bm_ard_3-2-1_53JPN_2021-08-25_final
2021-08-26 11:41:57	ga_s2bm_ard_3-2-1_51LVC_2021-08-26_final
2021-08-26 11:42:07	ga_s2bm_ard_3-2-1_51KWB_2021-08-26_final
2021-08-26 11:42:20	ga_s2bm_ard_3-2-1_51KWA_2021-08-26_final
2021-08-26 11:42:29	ga_s2bm_ard_3-2-1_51KUA_2021-08-26_final
2021-08-26 11:43:01	ga_s2bm_ard_3-2-1_51KTU_2021-08-26_final
2021-08-26 11:43:02	ga_s2bm_ard_3-2-1_50KRD_2021-08-26_final
2021-08-26 11:44:39	ga_s2bm_ard_3-2-1_51JUM_2021-08-26_final
2021-08-26 11:45:02	ga_s2bm_ard_3-2-1_50JQR_2021-08-26_final
2021-08-26 11:45:12	ga_s2bm_ard_3-2-1_51JTK_2021-08-26_final
2021-08-26 11:45:30	ga_s2bm_ard_3-2-1_50JQP_2021-08-26_final
2021-08-27 11:11:35	ga_s2bm_ard_3-2-1_52LDJ_2021-08-27_final
2021-08-27 11:15:40	ga_s2bm_ard_3-2-1_51JXH_2021-08-27_final
2021-08-28 10:44:01	ga_s2bm_ard_3-2-1_53JPN_2021-08-28_final
2021-08-28 10:45:30	ga_s2bm_ard_3-2-1_53JNG_2021-08-28_final
2021-08-29 11:52:52	ga_s2bm_ard_3-2-1_51KTU_2021-08-29_final
2021-08-29 11:52:56	ga_s2bm_ard_3-2-1_50KRD_2021-08-29_final
2021-08-29 11:55:00	ga_s2bm_ard_3-2-1_50JPR_2021-08-29_final
2021-08-30 11:21:21	ga_s2bm_ard_3-2-1_52LBK_2021-08-30_final
2021-08-30 11:21:29	ga_s2bm_ard_3-2-1_52LDJ_2021-08-30_final
2021-08-30 11:21:37	ga_s2bm_ard_3-2-1_51LZD_2021-08-30_final
2021-08-30 11:23:25	ga_s2bm_ard_3-2-1_52KCA_2021-08-30_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