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
2023-11-18 11:25:37	ga_s2bm_ard_3-2-1_51JXH_2023-11-18_final.stac-item
2023-11-20 10:25:17	ga_s2bm_ard_3-2-1_53JQH_2023-11-20_final.stac-item
2023-11-20 10:25:37	ga_s2bm_ard_3-2-1_53JPG_2023-11-20_final.stac-item
2023-11-20 10:26:00	ga_s2bm_ard_3-2-1_53HQE_2023-11-20_final.stac-item
2023-11-20 10:26:04	ga_s2bm_ard_3-2-1_53HPE_2023-11-20_final.stac-item
2023-11-20 10:26:15	ga_s2bm_ard_3-2-1_53HQD_2023-11-20_final.stac-item
2023-11-20 10:26:29	ga_s2bm_ard_3-2-1_53HQC_2023-11-20_final.stac-item
2023-11-20 10:26:47	ga_s2bm_ard_3-2-1_53HPB_2023-11-20_final.stac-item
2023-11-20 10:26:51	ga_s2bm_ard_3-2-1_53HNB_2023-11-20_final.stac-item
2023-11-20 10:27:02	ga_s2bm_ard_3-2-1_53HPA_2023-11-20_final.stac-item
2023-11-20 10:27:11	ga_s2bm_ard_3-2-1_53HPV_2023-11-20_final.stac-item
2023-11-20 12:03:17	ga_s2bm_ard_3-2-1_50KNC_2023-11-20_final.stac-item
2023-11-20 12:03:20	ga_s2bm_ard_3-2-1_50KMC_2023-11-20_final.stac-item
2023-11-20 12:03:24	ga_s2bm_ard_3-2-1_50KLC_2023-11-20_final.stac-item
2023-11-20 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2023-11-20_final.stac-item
2023-11-20 12:04:07	ga_s2bm_ard_3-2-1_50KLV_2023-11-20_final.stac-item
2023-11-20 12:04:11	ga_s2bm_ard_3-2-1_49KHQ_2023-11-20_final.stac-item
2023-11-20 12:04:18	ga_s2bm_ard_3-2-1_50KMU_2023-11-20_final.stac-item
2023-11-20 12:04:22	ga_s2bm_ard_3-2-1_50KLU_2023-11-20_final.stac-item
2023-11-20 12:04:25	ga_s2bm_ard_3-2-1_50KKU_2023-11-20_final.stac-item
2023-11-20 12:04:39	ga_s2bm_ard_3-2-1_49JHN_2023-11-20_final.stac-item
2023-11-20 12:04:43	ga_s2bm_ard_3-2-1_49JGN_2023-11-20_final.stac-item
2023-11-20 12:04:51	ga_s2bm_ard_3-2-1_50JLS_2023-11-20_final.stac-item
2023-11-20 12:04:54	ga_s2bm_ard_3-2-1_49JHM_2023-11-20_final.stac-item
2023-11-20 12:04:54	ga_s2bm_ard_3-2-1_50JKS_2023-11-20_final.stac-item
2023-11-20 12:04:56	ga_s2bm_ard_3-2-1_50JMR_2023-11-20_final.stac-item
2023-11-20 12:05:05	ga_s2bm_ard_3-2-1_50JLR_2023-11-20_final.stac-item
2023-11-20 12:05:09	ga_s2bm_ard_3-2-1_50JKR_2023-11-20_final.stac-item
2023-11-20 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2023-11-20_final.stac-item
2023-11-20 12:05:23	ga_s2bm_ard_3-2-1_50JKQ_2023-11-20_final.stac-item
2023-11-20 12:05:26	ga_s2bm_ard_3-2-1_49JGK_2023-11-20_final.stac-item
2023-11-20 12:05:41	ga_s2bm_ard_3-2-1_49JGJ_2023-11-20_final.stac-item
2023-11-20 12:05:49	ga_s2bm_ard_3-2-1_50JLN_2023-11-20_final.stac-item
2023-11-20 12:05:55	ga_s2bm_ard_3-2-1_49JGH_2023-11-20_final.stac-item
2023-11-20 12:06:01	ga_s2bm_ard_3-2-1_50JLM_2023-11-20_final.stac-item
2023-11-20 12:06:07	ga_s2bm_ard_3-2-1_50JKM_2023-11-20_final.stac-item
2023-11-21 11:31:17	ga_s2bm_ard_3-2-1_51LZE_2023-11-21_final.stac-item
2023-11-21 11:31:26	ga_s2bm_ard_3-2-1_52LBJ_2023-11-21_final.stac-item
2023-11-21 11:31:28	ga_s2bm_ard_3-2-1_51LZD_2023-11-21_final.stac-item
2023-11-21 11:31:29	ga_s2bm_ard_3-2-1_52LBJ_2023-11-21_final.stac-item
2023-11-21 11:31:34	ga_s2bm_ard_3-2-1_51LZD_2023-11-21_final.stac-item
2023-11-21 11:31:50	ga_s2bm_ard_3-2-1_51LYC_2023-11-21_final.stac-item
2023-11-21 11:32:08	ga_s2bm_ard_3-2-1_51KXB_2023-11-21_final.stac-item
2023-11-21 11:32:16	ga_s2bm_ard_3-2-1_51KVB_2023-11-21_final.stac-item
2023-11-21 11:32:18	ga_s2bm_ard_3-2-1_51KYA_2023-11-21_final.stac-item
2023-11-21 11:32:22	ga_s2bm_ard_3-2-1_51KXA_2023-11-21_final.stac-item
2023-11-21 11:32:33	ga_s2bm_ard_3-2-1_51KYV_2023-11-21_final.stac-item
2023-11-21 11:32:37	ga_s2bm_ard_3-2-1_51KXV_2023-11-21_final.stac-item
2023-11-21 11:32:40	ga_s2bm_ard_3-2-1_51KWV_2023-11-21_final.stac-item
2023-11-21 11:32:58	ga_s2bm_ard_3-2-1_51KVU_2023-11-21_final.stac-item
2023-11-21 11:33:20	ga_s2bm_ard_3-2-1_51KXS_2023-11-21_final.stac-item
2023-11-21 11:33:31	ga_s2bm_ard_3-2-1_51KUS_2023-11-21_final.stac-item
2023-11-21 11:33:53	ga_s2bm_ard_3-2-1_51KWQ_2023-11-21_final.stac-item
2023-11-21 11:34:07	ga_s2bm_ard_3-2-1_51KWP_2023-11-21_final.stac-item
2023-11-21 11:34:12	ga_s2bm_ard_3-2-1_51JXN_2023-11-21_final.stac-item
2023-11-21 11:34:36	ga_s2bm_ard_3-2-1_51JWM_2023-11-21_final.stac-item
2023-11-21 11:34:43	ga_s2bm_ard_3-2-1_51JUM_2023-11-21_final.stac-item
2023-11-21 11:34:51	ga_s2bm_ard_3-2-1_51JWL_2023-11-21_final.stac-item
2023-11-21 11:34:58	ga_s2bm_ard_3-2-1_51JUL_2023-11-21_final.stac-item
2023-11-21 11:35:09	ga_s2bm_ard_3-2-1_51JVK_2023-11-21_final.stac-item
2023-11-21 11:35:12	ga_s2bm_ard_3-2-1_51JUK_2023-11-21_final.stac-item
2023-11-21 11:35:41	ga_s2bm_ard_3-2-1_51JUH_2023-11-21_final.stac-item
2023-11-21 11:35:47	ga_s2bm_ard_3-2-1_50JQN_2023-11-21_final.stac-item
2023-11-21 11:35:59	ga_s2bm_ard_3-2-1_51JTG_2023-11-21_final.stac-item
2023-11-21 11:36:14	ga_s2bm_ard_3-2-1_51JTF_2023-11-21_final.stac-item
2023-11-21 11:36:20	ga_s2bm_ard_3-2-1_51HVE_2023-11-21_final.stac-item
2023-11-21 11:36:23	ga_s2bm_ard_3-2-1_50JPL_2023-11-21_final.stac-item
2023-11-21 11:36:30	ga_s2bm_ard_3-2-1_51HVD_2023-11-21_final.stac-item
2023-11-21 11:36:34	ga_s2bm_ard_3-2-1_50HPK_2023-11-21_final.stac-item
2023-11-21 11:36:39	ga_s2bm_ard_3-2-1_51HUD_2023-11-21_final.stac-item
2023-11-21 11:36:54	ga_s2bm_ard_3-2-1_51HUC_2023-11-21_final.stac-item
2023-11-21 11:36:57	ga_s2bm_ard_3-2-1_51HTC_2023-11-21_final.stac-item
2023-11-21 11:37:14	ga_s2bm_ard_3-2-1_50HQG_2023-11-21_final.stac-item
2023-11-21 11:37:23	ga_s2bm_ard_3-2-1_50HNG_2023-11-21_final.stac-item
2023-11-30 12:00:34	ga_s2bm_ard_3-2-1_50LPP_2023-11-30_nrt.stac-item
2023-11-30 12:00:48	ga_s2bm_ard_3-2-1_50LPN_2023-11-30_nrt.stac-item
2023-11-30 12:00:59	ga_s2bm_ard_3-2-1_50LQM_2023-11-30_nrt.stac-item
2023-11-30 12:01:03	ga_s2bm_ard_3-2-1_50LPM_2023-11-30_nrt.stac-item
2023-11-30 12:01:13	ga_s2bm_ard_3-2-1_50LQL_2023-11-30_nrt.stac-item
2023-11-30 12:01:24	ga_s2bm_ard_3-2-1_50LQK_2023-11-30_nrt.stac-item
2023-11-30 12:02:52	ga_s2bm_ard_3-2-1_50KNE_2023-11-30_nrt.stac-item
2023-11-30 12:02:54	ga_s2bm_ard_3-2-1_50KME_2023-11-30_nrt.stac-item
2023-11-30 12:02:55	ga_s2bm_ard_3-2-1_50KLE_2023-11-30_nrt.stac-item
2023-11-30 12:03:09	ga_s2bm_ard_3-2-1_50KLD_2023-11-30_nrt.stac-item
2023-11-30 12:03:12	ga_s2bm_ard_3-2-1_50KKD_2023-11-30_nrt.stac-item
2023-11-30 12:05:16	ga_s2bm_ard_3-2-1_49JFL_2023-11-30_nrt.stac-item
2023-11-30 12:05:29	ga_s2bm_ard_3-2-1_49JFK_2023-11-30_nrt.stac-item
2023-11-30 12:05:44	ga_s2bm_ard_3-2-1_49JFJ_2023-11-30_nrt.stac-item
2023-11-30 12:06:21	ga_s2bm_ard_3-2-1_49JFF_2023-11-30_nrt.stac-item
2023-12-01 11:30:18	ga_s2bm_ard_3-2-1_52LBP_2023-12-01_nrt.stac-item
2023-12-01 11:30:20	ga_s2bm_ard_3-2-1_51LZJ_2023-12-01_nrt.stac-item
2023-12-01 11:30:26	ga_s2bm_ard_3-2-1_51LXJ_2023-12-01_nrt.stac-item
2023-12-01 11:30:30	ga_s2bm_ard_3-2-1_52LBN_2023-12-01_nrt.stac-item
2023-12-01 11:30:31	ga_s2bm_ard_3-2-1_51LZH_2023-12-01_nrt.stac-item
2023-12-01 11:30:33	ga_s2bm_ard_3-2-1_51LXJ_2023-12-01_nrt.stac-item
2023-12-01 11:30:34	ga_s2bm_ard_3-2-1_51LXH_2023-12-01_nrt.stac-item
2023-12-01 11:30:36	ga_s2bm_ard_3-2-1_52LBN_2023-12-01_nrt.stac-item
2023-12-01 11:30:37	ga_s2bm_ard_3-2-1_51LZH_2023-12-01_nrt.stac-item
2023-12-01 11:30:41	ga_s2bm_ard_3-2-1_51LXH_2023-12-01_nrt.stac-item
2023-12-01 11:31:42	ga_s2bm_ard_3-2-1_51LWD_2023-12-01_nrt.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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