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
2023-01-23 10:53:11	ga_s2bm_ard_3-2-1_53KKS_2023-01-23_final.stac-item
2023-01-23 10:53:12	ga_s2bm_ard_3-2-1_52KHB_2023-01-23_final.stac-item
2023-01-23 10:53:23	ga_s2bm_ard_3-2-1_53KLR_2023-01-23_final.stac-item
2023-01-23 10:53:26	ga_s2bm_ard_3-2-1_52KHA_2023-01-23_final.stac-item
2023-01-23 10:53:34	ga_s2bm_ard_3-2-1_53KMQ_2023-01-23_final.stac-item
2023-01-23 10:53:37	ga_s2bm_ard_3-2-1_53KLQ_2023-01-23_final.stac-item
2023-01-23 10:53:39	ga_s2bm_ard_3-2-1_52KHV_2023-01-23_final.stac-item
2023-01-23 10:53:39	ga_s2bm_ard_3-2-1_53KKQ_2023-01-23_final.stac-item
2023-01-23 10:53:40	ga_s2bm_ard_3-2-1_52KGV_2023-01-23_final.stac-item
2023-01-23 10:53:42	ga_s2bm_ard_3-2-1_53KMQ_2023-01-23_final.stac-item
2023-01-23 10:53:44	ga_s2bm_ard_3-2-1_53KLQ_2023-01-23_final.stac-item
2023-01-23 10:53:44	ga_s2bm_ard_3-2-1_53KLP_2023-01-23_final.stac-item
2023-01-23 10:53:45	ga_s2bm_ard_3-2-1_53KKQ_2023-01-23_final.stac-item
2023-01-23 10:53:46	ga_s2bm_ard_3-2-1_52KHV_2023-01-23_final.stac-item
2023-01-23 10:53:55	ga_s2bm_ard_3-2-1_53KKP_2023-01-23_final.stac-item
2023-01-23 10:53:55	ga_s2bm_ard_3-2-1_52KHU_2023-01-23_final.stac-item
2023-01-23 10:53:59	ga_s2bm_ard_3-2-1_52KGU_2023-01-23_final.stac-item
2023-01-23 10:54:06	ga_s2bm_ard_3-2-1_53JLN_2023-01-23_final.stac-item
2023-01-23 10:54:24	ga_s2bm_ard_3-2-1_52JHS_2023-01-23_final.stac-item
2023-01-23 10:54:24	ga_s2bm_ard_3-2-1_53JKM_2023-01-23_final.stac-item
2023-01-23 10:54:39	ga_s2bm_ard_3-2-1_53JKL_2023-01-23_final.stac-item
2023-01-23 10:54:50	ga_s2bm_ard_3-2-1_53JLK_2023-01-23_final.stac-item
2023-01-23 10:55:00	ga_s2bm_ard_3-2-1_52JFQ_2023-01-23_final.stac-item
2023-01-23 10:55:29	ga_s2bm_ard_3-2-1_52JFN_2023-01-23_final.stac-item
2023-01-23 10:55:33	ga_s2bm_ard_3-2-1_52JEN_2023-01-23_final.stac-item
2023-01-23 10:55:40	ga_s2bm_ard_3-2-1_52JGM_2023-01-23_final.stac-item
2023-01-23 10:55:44	ga_s2bm_ard_3-2-1_52JFM_2023-01-23_final.stac-item
2023-01-23 10:55:52	ga_s2bm_ard_3-2-1_53JKF_2023-01-23_final.stac-item
2023-01-23 10:55:54	ga_s2bm_ard_3-2-1_52JGL_2023-01-23_final.stac-item
2023-01-24 10:19:21	ga_s2bm_ard_3-2-1_54LZR_2023-01-24_final.stac-item
2023-01-24 10:19:36	ga_s2bm_ard_3-2-1_54LZQ_2023-01-24_final.stac-item
2023-01-24 10:19:39	ga_s2bm_ard_3-2-1_54LYQ_2023-01-24_final.stac-item
2023-01-24 10:19:42	ga_s2bm_ard_3-2-1_54LXQ_2023-01-24_final.stac-item
2023-01-24 10:19:48	ga_s2bm_ard_3-2-1_55LBJ_2023-01-24_nrt.stac-item
2023-01-24 10:19:50	ga_s2bm_ard_3-2-1_54LZP_2023-01-24_final.stac-item
2023-01-24 10:19:54	ga_s2bm_ard_3-2-1_54LYP_2023-01-24_final.stac-item
2023-01-24 10:19:57	ga_s2bm_ard_3-2-1_54LXP_2023-01-24_final.stac-item
2023-01-24 10:20:03	ga_s2bm_ard_3-2-1_55LBH_2023-01-24_nrt.stac-item
2023-01-24 10:20:04	ga_s2bm_ard_3-2-1_54LZN_2023-01-24_final.stac-item
2023-01-24 10:20:08	ga_s2bm_ard_3-2-1_54LYN_2023-01-24_final.stac-item
2023-01-24 10:20:27	ga_s2bm_ard_3-2-1_55LBF_2023-01-24_nrt.stac-item
2023-01-24 10:20:29	ga_s2bm_ard_3-2-1_54LWM_2023-01-24_final.stac-item
2023-01-24 10:20:34	ga_s2bm_ard_3-2-1_54LZL_2023-01-24_final.stac-item
2023-01-24 10:20:37	ga_s2bm_ard_3-2-1_54LYL_2023-01-24_final.stac-item
2023-01-24 10:20:40	ga_s2bm_ard_3-2-1_54LXL_2023-01-24_final.stac-item
2023-01-24 10:20:47	ga_s2bm_ard_3-2-1_54LZK_2023-01-24_final.stac-item
2023-01-24 10:20:51	ga_s2bm_ard_3-2-1_54LYK_2023-01-24_final.stac-item
2023-01-24 10:21:13	ga_s2bm_ard_3-2-1_54LWJ_2023-01-24_final.stac-item
2023-01-24 10:21:19	ga_s2bm_ard_3-2-1_54LVJ_2023-01-24_final.stac-item
2023-01-24 10:21:24	ga_s2bm_ard_3-2-1_54LXH_2023-01-24_final.stac-item
2023-01-24 10:21:27	ga_s2bm_ard_3-2-1_54LWH_2023-01-24_final.stac-item
2023-01-24 10:21:38	ga_s2bm_ard_3-2-1_54KXG_2023-01-24_final.stac-item
2023-01-24 10:21:42	ga_s2bm_ard_3-2-1_54KWG_2023-01-24_final.stac-item
2023-01-24 10:21:45	ga_s2bm_ard_3-2-1_54KVG_2023-01-24_final.stac-item
2023-01-24 10:21:53	ga_s2bm_ard_3-2-1_54KXF_2023-01-24_final.stac-item
2023-01-24 10:21:56	ga_s2bm_ard_3-2-1_54KWF_2023-01-24_final.stac-item
2023-01-24 10:22:00	ga_s2bm_ard_3-2-1_54KVF_2023-01-24_final.stac-item
2023-01-24 10:22:07	ga_s2bm_ard_3-2-1_54KXE_2023-01-24_final.stac-item
2023-01-24 10:22:11	ga_s2bm_ard_3-2-1_54KWE_2023-01-24_final.stac-item
2023-01-24 10:22:12	ga_s2bm_ard_3-2-1_54KYD_2023-01-24_final.stac-item
2023-01-24 10:22:14	ga_s2bm_ard_3-2-1_54KVE_2023-01-24_final.stac-item
2023-01-24 10:22:26	ga_s2bm_ard_3-2-1_54KWD_2023-01-24_final.stac-item
2023-01-24 10:22:29	ga_s2bm_ard_3-2-1_54KVD_2023-01-24_final.stac-item
2023-01-24 10:22:33	ga_s2bm_ard_3-2-1_54KUD_2023-01-24_final.stac-item
2023-01-24 10:22:36	ga_s2bm_ard_3-2-1_54KXC_2023-01-24_final.stac-item
2023-01-24 10:22:40	ga_s2bm_ard_3-2-1_54KWC_2023-01-24_final.stac-item
2023-01-24 10:22:43	ga_s2bm_ard_3-2-1_54KVC_2023-01-24_final.stac-item
2023-01-24 10:23:04	ga_s2bm_ard_3-2-1_54KXA_2023-01-24_final.stac-item
2023-01-24 10:23:09	ga_s2bm_ard_3-2-1_54KWA_2023-01-24_final.stac-item
2023-01-24 10:23:12	ga_s2bm_ard_3-2-1_54KVA_2023-01-24_final.stac-item
2023-01-24 10:23:16	ga_s2bm_ard_3-2-1_54KUA_2023-01-24_final.stac-item
2023-01-24 10:23:23	ga_s2bm_ard_3-2-1_54KWV_2023-01-24_final.stac-item
2023-01-24 10:23:27	ga_s2bm_ard_3-2-1_54KVV_2023-01-24_final.stac-item
2023-01-24 10:23:45	ga_s2bm_ard_3-2-1_54KUU_2023-01-24_final.stac-item
2023-01-24 10:23:48	ga_s2bm_ard_3-2-1_54KTU_2023-01-24_final.stac-item
2023-01-24 10:23:48	ga_s2bm_ard_3-2-1_53KRP_2023-01-24_final.stac-item
2023-01-24 10:23:56	ga_s2bm_ard_3-2-1_54JVT_2023-01-24_final.stac-item
2023-01-24 10:23:59	ga_s2bm_ard_3-2-1_54JUT_2023-01-24_final.stac-item
2023-01-24 10:24:07	ga_s2bm_ard_3-2-1_54JWS_2023-01-24_final.stac-item
2023-01-24 10:24:11	ga_s2bm_ard_3-2-1_54JVS_2023-01-24_final.stac-item
2023-01-24 10:24:17	ga_s2bm_ard_3-2-1_53JRM_2023-01-24_final.stac-item
2023-01-24 10:24:17	ga_s2bm_ard_3-2-1_54JTS_2023-01-24_final.stac-item
2023-01-24 10:24:32	ga_s2bm_ard_3-2-1_54JTR_2023-01-24_final.stac-item
2023-01-24 10:24:43	ga_s2bm_ard_3-2-1_54JUQ_2023-01-24_final.stac-item
2023-01-24 10:25:09	ga_s2bm_ard_3-2-1_54JVN_2023-01-24_final.stac-item
2023-01-24 10:25:12	ga_s2bm_ard_3-2-1_54JUN_2023-01-24_final.stac-item
2023-01-24 10:25:27	ga_s2bm_ard_3-2-1_54JUM_2023-01-24_final.stac-item
2023-01-24 10:25:30	ga_s2bm_ard_3-2-1_53JQG_2023-01-24_final.stac-item
2023-01-24 10:25:34	ga_s2bm_ard_3-2-1_54JUL_2023-01-24_final.stac-item
2023-01-24 10:25:35	ga_s2bm_ard_3-2-1_54JTL_2023-01-24_final.stac-item
2023-01-24 10:25:37	ga_s2bm_ard_3-2-1_53JQG_2023-01-24_final.stac-item
2023-01-24 10:25:45	ga_s2bm_ard_3-2-1_54JTL_2023-01-24_final.stac-item
2023-01-24 10:25:47	ga_s2bm_ard_3-2-1_53JQF_2023-01-24_final.stac-item
2023-01-24 10:25:56	ga_s2bm_ard_3-2-1_54HUK_2023-01-24_final.stac-item
2023-01-24 10:26:05	ga_s2bm_ard_3-2-1_53HPE_2023-01-24_final.stac-item
2023-01-24 10:26:10	ga_s2bm_ard_3-2-1_54HUJ_2023-01-24_final.stac-item
2023-01-24 10:26:20	ga_s2bm_ard_3-2-1_53HPD_2023-01-24_final.stac-item
2023-01-24 10:26:25	ga_s2bm_ard_3-2-1_54HUH_2023-01-24_final.stac-item
2023-01-24 10:26:34	ga_s2bm_ard_3-2-1_53HPC_2023-01-24_final.stac-item
2023-01-24 10:26:43	ga_s2bm_ard_3-2-1_54HTG_2023-01-24_final.stac-item

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

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