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
2019-11-30 10:51:29	ga_s2bm_ard_3-2-1_53LLD_2019-11-30_final
2019-11-30 10:51:29	ga_s2bm_ard_3-2-1_53LPC_2019-11-30_final
2019-11-30 10:51:33	ga_s2bm_ard_3-2-1_53LNC_2019-11-30_final
2019-11-30 10:51:35	ga_s2bm_ard_3-2-1_53LMC_2019-11-30_final
2019-11-30 10:51:38	ga_s2bm_ard_3-2-1_53LLC_2019-11-30_final
2019-11-30 10:51:46	ga_s2bm_ard_3-2-1_53KNB_2019-11-30_final
2019-11-30 10:51:50	ga_s2bm_ard_3-2-1_53KMB_2019-11-30_final
2019-11-30 10:51:57	ga_s2bm_ard_3-2-1_53KKB_2019-11-30_final
2019-11-30 10:52:15	ga_s2bm_ard_3-2-1_53KNV_2019-11-30_final
2019-11-30 10:52:19	ga_s2bm_ard_3-2-1_53KMV_2019-11-30_final
2019-11-30 10:52:22	ga_s2bm_ard_3-2-1_53KLV_2019-11-30_final
2019-11-30 10:52:29	ga_s2bm_ard_3-2-1_53KNU_2019-11-30_final
2019-11-30 10:52:33	ga_s2bm_ard_3-2-1_53KMU_2019-11-30_final
2019-11-30 10:52:36	ga_s2bm_ard_3-2-1_53KLU_2019-11-30_final
2019-11-30 10:52:40	ga_s2bm_ard_3-2-1_53KKU_2019-11-30_final
2019-11-30 10:52:40	ga_s2bm_ard_3-2-1_52KHD_2019-11-30_final
2019-11-30 10:52:54	ga_s2bm_ard_3-2-1_53KKT_2019-11-30_final
2019-11-30 10:52:55	ga_s2bm_ard_3-2-1_52KHC_2019-11-30_final
2019-11-30 10:53:02	ga_s2bm_ard_3-2-1_53KMS_2019-11-30_final
2019-11-30 10:53:06	ga_s2bm_ard_3-2-1_53KLS_2019-11-30_final
2019-11-30 10:53:09	ga_s2bm_ard_3-2-1_52KHB_2019-11-30_final
2019-11-30 10:53:23	ga_s2bm_ard_3-2-1_52KHA_2019-11-30_final
2019-11-30 10:53:31	ga_s2bm_ard_3-2-1_53KMQ_2019-11-30_final
2019-11-30 10:53:45	ga_s2bm_ard_3-2-1_53KMP_2019-11-30_final
2019-11-30 10:54:03	ga_s2bm_ard_3-2-1_53JLN_2019-11-30_final
2019-11-30 10:54:17	ga_s2bm_ard_3-2-1_52JFT_2019-11-30_final
2019-11-30 10:54:21	ga_s2bm_ard_3-2-1_52JHS_2019-11-30_final
2019-11-30 10:54:36	ga_s2bm_ard_3-2-1_53JKL_2019-11-30_final
2019-11-30 10:54:39	ga_s2bm_ard_3-2-1_52JGR_2019-11-30_final
2019-11-30 10:54:47	ga_s2bm_ard_3-2-1_53JLK_2019-11-30_final
2019-11-30 10:54:51	ga_s2bm_ard_3-2-1_53JKK_2019-11-30_final
2019-11-30 10:54:57	ga_s2bm_ard_3-2-1_52JFQ_2019-11-30_final
2019-11-30 10:55:05	ga_s2bm_ard_3-2-1_53JKJ_2019-11-30_final
2019-11-30 10:55:11	ga_s2bm_ard_3-2-1_53JLH_2019-11-30_final
2019-11-30 10:55:26	ga_s2bm_ard_3-2-1_52JFN_2019-11-30_final
2019-11-30 10:55:30	ga_s2bm_ard_3-2-1_52JEN_2019-11-30_final
2019-11-30 10:55:34	ga_s2bm_ard_3-2-1_53JKG_2019-11-30_final
2019-11-30 10:55:37	ga_s2bm_ard_3-2-1_52JGM_2019-11-30_final
2019-11-30 10:55:41	ga_s2bm_ard_3-2-1_52JFM_2019-11-30_final
2019-11-30 10:55:49	ga_s2bm_ard_3-2-1_53JKF_2019-11-30_final
2019-11-30 10:55:51	ga_s2bm_ard_3-2-1_52JGL_2019-11-30_final
2019-11-30 10:56:17	ga_s2bm_ard_3-2-1_52HDK_2019-11-30_final.stac-item
2019-12-01 10:20:26	ga_s2bm_ard_3-2-1_54LWM_2019-12-01_final
2019-12-01 10:20:31	ga_s2bm_ard_3-2-1_54LZL_2019-12-01_final
2019-12-01 10:20:34	ga_s2bm_ard_3-2-1_54LYL_2019-12-01_final
2019-12-01 10:20:37	ga_s2bm_ard_3-2-1_54LXL_2019-12-01_final
2019-12-01 10:20:40	ga_s2bm_ard_3-2-1_54LWL_2019-12-01_final
2019-12-01 10:20:44	ga_s2bm_ard_3-2-1_54LZK_2019-12-01_final
2019-12-01 10:20:48	ga_s2bm_ard_3-2-1_54LYK_2019-12-01_final
2019-12-01 10:20:56	ga_s2bm_ard_3-2-1_54LZJ_2019-12-01_final
2019-12-01 10:21:03	ga_s2bm_ard_3-2-1_54LYJ_2019-12-01_final
2019-12-01 10:21:06	ga_s2bm_ard_3-2-1_54LXJ_2019-12-01_final
2019-12-01 10:21:10	ga_s2bm_ard_3-2-1_54LWJ_2019-12-01_final
2019-12-01 10:21:16	ga_s2bm_ard_3-2-1_54LVJ_2019-12-01_final.stac-item
2019-12-01 10:21:17	ga_s2bm_ard_3-2-1_54LYH_2019-12-01_final
2019-12-01 10:21:21	ga_s2bm_ard_3-2-1_54LXH_2019-12-01_final
2019-12-01 10:21:24	ga_s2bm_ard_3-2-1_54LWH_2019-12-01_final
2019-12-01 10:21:28	ga_s2bm_ard_3-2-1_54LVH_2019-12-01_final
2019-12-01 10:21:32	ga_s2bm_ard_3-2-1_54KYG_2019-12-01_final
2019-12-01 10:21:39	ga_s2bm_ard_3-2-1_54KWG_2019-12-01_final
2019-12-01 10:21:42	ga_s2bm_ard_3-2-1_54KVG_2019-12-01_final
2019-12-01 10:22:04	ga_s2bm_ard_3-2-1_54KXE_2019-12-01_final
2019-12-01 10:22:08	ga_s2bm_ard_3-2-1_54KWE_2019-12-01_final
2019-12-01 10:22:09	ga_s2bm_ard_3-2-1_54KYD_2019-12-01_final
2019-12-01 10:22:11	ga_s2bm_ard_3-2-1_54KVE_2019-12-01_final
2019-12-01 10:22:19	ga_s2bm_ard_3-2-1_54KXD_2019-12-01_final
2019-12-01 10:22:23	ga_s2bm_ard_3-2-1_54KWD_2019-12-01_final
2019-12-01 10:22:26	ga_s2bm_ard_3-2-1_54KVD_2019-12-01_final
2019-12-01 10:22:30	ga_s2bm_ard_3-2-1_54KUD_2019-12-01_final
2019-12-01 10:22:55	ga_s2bm_ard_3-2-1_54KVB_2019-12-01_final
2019-12-01 10:22:58	ga_s2bm_ard_3-2-1_54KUB_2019-12-01_final
2019-12-01 10:23:20	ga_s2bm_ard_3-2-1_54KWV_2019-12-01_final
2019-12-01 10:23:24	ga_s2bm_ard_3-2-1_54KVV_2019-12-01_final
2019-12-01 10:23:35	ga_s2bm_ard_3-2-1_54KWU_2019-12-01_final
2019-12-01 10:23:38	ga_s2bm_ard_3-2-1_54KVU_2019-12-01_final
2019-12-01 10:23:46	ga_s2bm_ard_3-2-1_53KRP_2019-12-01_final
2019-12-01 10:23:56	ga_s2bm_ard_3-2-1_54JUT_2019-12-01_final
2019-12-01 10:23:59	ga_s2bm_ard_3-2-1_53JRN_2019-12-01_final
2019-12-01 10:24:14	ga_s2bm_ard_3-2-1_53JRM_2019-12-01_final
2019-12-01 10:24:29	ga_s2bm_ard_3-2-1_54JTR_2019-12-01_final
2019-12-01 10:24:35	ga_s2bm_ard_3-2-1_53JQL_2019-12-01_final
2019-12-01 10:24:40	ga_s2bm_ard_3-2-1_54JUQ_2019-12-01_final
2019-12-01 10:24:58	ga_s2bm_ard_3-2-1_54JTP_2019-12-01_final
2019-12-01 10:25:06	ga_s2bm_ard_3-2-1_54JVN_2019-12-01_final
2019-12-01 10:25:09	ga_s2bm_ard_3-2-1_54JUN_2019-12-01_final
2019-12-01 10:25:24	ga_s2bm_ard_3-2-1_54JUM_2019-12-01_final
2019-12-01 10:25:27	ga_s2bm_ard_3-2-1_54JTM_2019-12-01_final
2019-12-01 10:25:29	ga_s2bm_ard_3-2-1_53JQG_2019-12-01_final
2019-12-01 10:25:35	ga_s2bm_ard_3-2-1_53JPG_2019-12-01_final
2019-12-01 10:25:41	ga_s2bm_ard_3-2-1_54JTL_2019-12-01_final
2019-12-01 10:25:44	ga_s2bm_ard_3-2-1_53JQF_2019-12-01_final
2019-12-01 10:25:52	ga_s2bm_ard_3-2-1_54HUK_2019-12-01_final
2019-12-01 10:26:02	ga_s2bm_ard_3-2-1_53HPE_2019-12-01_final
2019-12-01 10:26:07	ga_s2bm_ard_3-2-1_54HUJ_2019-12-01_final
2019-12-01 10:26:17	ga_s2bm_ard_3-2-1_53HPD_2019-12-01_final
2019-12-01 10:26:22	ga_s2bm_ard_3-2-1_54HUH_2019-12-01_final
2019-12-01 10:26:31	ga_s2bm_ard_3-2-1_53HPC_2019-12-01_final
2019-12-01 10:26:40	ga_s2bm_ard_3-2-1_54HTG_2019-12-01_final
2019-12-01 10:26:41	ga_s2bm_ard_3-2-1_53HQB_2019-12-01_final
2019-12-01 10:26:47	ga_s2bm_ard_3-2-1_54HTG_2019-12-01_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