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
2023-04-19 09:33:44	ga_s2bm_ard_3-2-1_56JLT_2023-04-19_final.stac-item
2023-04-19 09:35:17	ga_s2bm_ard_3-2-1_55JGG_2023-04-19_final.stac-item
2023-04-19 11:11:21	ga_s2bm_ard_3-2-1_52LEK_2023-04-19_final.stac-item
2023-04-19 11:11:53	ga_s2bm_ard_3-2-1_52LDH_2023-04-19_final.stac-item
2023-04-19 11:12:01	ga_s2bm_ard_3-2-1_52KFG_2023-04-19_final.stac-item
2023-04-19 11:12:37	ga_s2bm_ard_3-2-1_52KDE_2023-04-19_final.stac-item
2023-04-19 11:15:09	ga_s2bm_ard_3-2-1_52JBQ_2023-04-19_final.stac-item
2023-04-19 11:15:38	ga_s2bm_ard_3-2-1_52JBN_2023-04-19_final.stac-item
2023-04-19 11:16:32	ga_s2bm_ard_3-2-1_51HWE_2023-04-19_final.stac-item
2023-04-19 11:16:57	ga_s2bm_ard_3-2-1_51HXC_2023-04-19_final.stac-item
2023-04-20 10:40:48	ga_s2bm_ard_3-2-1_53LQF_2023-04-20_final.stac-item
2023-04-20 10:40:49	ga_s2bm_ard_3-2-1_53LPF_2023-04-20_final.stac-item
2023-04-20 10:40:54	ga_s2bm_ard_3-2-1_53LQF_2023-04-20_final.stac-item
2023-04-20 10:40:56	ga_s2bm_ard_3-2-1_53LPF_2023-04-20_final.stac-item
2023-04-20 10:41:07	ga_s2bm_ard_3-2-1_53LQE_2023-04-20_final.stac-item
2023-04-20 10:41:11	ga_s2bm_ard_3-2-1_53LPE_2023-04-20_final.stac-item
2023-04-20 10:41:51	ga_s2bm_ard_3-2-1_53KQB_2023-04-20_final.stac-item
2023-04-20 10:41:56	ga_s2bm_ard_3-2-1_54KTF_2023-04-20_final.stac-item
2023-04-20 10:42:05	ga_s2bm_ard_3-2-1_53KQA_2023-04-20_final.stac-item
2023-04-20 10:42:19	ga_s2bm_ard_3-2-1_53KQV_2023-04-20_final.stac-item
2023-04-20 10:42:34	ga_s2bm_ard_3-2-1_53KQU_2023-04-20_final.stac-item
2023-04-20 10:42:52	ga_s2bm_ard_3-2-1_53KNT_2023-04-20_final.stac-item
2023-04-20 10:42:54	ga_s2bm_ard_3-2-1_53KMT_2023-04-20_final.stac-item
2023-04-20 10:42:59	ga_s2bm_ard_3-2-1_53KNT_2023-04-20_final.stac-item
2023-04-20 10:43:00	ga_s2bm_ard_3-2-1_53KMT_2023-04-20_final.stac-item
2023-04-20 10:43:10	ga_s2bm_ard_3-2-1_53KNS_2023-04-20_final.stac-item
2023-04-20 10:43:13	ga_s2bm_ard_3-2-1_53KMS_2023-04-20_final.stac-item
2023-04-20 10:43:35	ga_s2bm_ard_3-2-1_53KPQ_2023-04-20_final.stac-item
2023-04-20 10:43:50	ga_s2bm_ard_3-2-1_53KPP_2023-04-20_final.stac-item
2023-04-20 10:44:15	ga_s2bm_ard_3-2-1_53JLN_2023-04-20_final.stac-item
2023-04-20 10:44:26	ga_s2bm_ard_3-2-1_53JMM_2023-04-20_final.stac-item
2023-04-20 10:44:29	ga_s2bm_ard_3-2-1_53JLM_2023-04-20_final.stac-item
2023-04-20 10:44:41	ga_s2bm_ard_3-2-1_53JML_2023-04-20_final.stac-item
2023-04-20 10:44:44	ga_s2bm_ard_3-2-1_53JLL_2023-04-20_final.stac-item
2023-04-20 10:44:50	ga_s2bm_ard_3-2-1_53JKL_2023-04-20_final.stac-item
2023-04-20 10:44:51	ga_s2bm_ard_3-2-1_53JNK_2023-04-20_final.stac-item
2023-04-20 10:44:55	ga_s2bm_ard_3-2-1_53JMK_2023-04-20_final.stac-item
2023-04-20 10:44:58	ga_s2bm_ard_3-2-1_53JLK_2023-04-20_final.stac-item
2023-04-20 10:45:06	ga_s2bm_ard_3-2-1_53JNJ_2023-04-20_final.stac-item
2023-04-20 10:45:10	ga_s2bm_ard_3-2-1_53JMJ_2023-04-20_final.stac-item
2023-04-20 10:45:24	ga_s2bm_ard_3-2-1_53JMH_2023-04-20_final.stac-item
2023-04-20 10:45:31	ga_s2bm_ard_3-2-1_53JKH_2023-04-20_final.stac-item
2023-04-20 10:45:42	ga_s2bm_ard_3-2-1_53JLG_2023-04-20_final.stac-item
2023-04-20 10:45:45	ga_s2bm_ard_3-2-1_53JKG_2023-04-20_final.stac-item
2023-04-20 10:45:49	ga_s2bm_ard_3-2-1_52JGM_2023-04-20_final.stac-item
2023-04-20 10:45:57	ga_s2bm_ard_3-2-1_53JLF_2023-04-20_final.stac-item
2023-04-20 10:46:00	ga_s2bm_ard_3-2-1_53JKF_2023-04-20_final.stac-item
2023-04-20 10:46:02	ga_s2bm_ard_3-2-1_52JGL_2023-04-20_final.stac-item
2023-04-20 10:46:14	ga_s2bm_ard_3-2-1_53HKE_2023-04-20_final.stac-item
2023-04-20 10:46:22	ga_s2bm_ard_3-2-1_53HMD_2023-04-20_final.stac-item
2023-04-20 10:46:26	ga_s2bm_ard_3-2-1_53HLD_2023-04-20_final.stac-item
2023-04-20 10:46:33	ga_s2bm_ard_3-2-1_53HMC_2023-04-20_final.stac-item
2023-05-01 10:09:47	ga_s2bm_ard_3-2-1_55LEJ_2023-05-01_nrt.stac-item
2023-05-01 10:10:00	ga_s2bm_ard_3-2-1_55LEH_2023-05-01_nrt.stac-item
2023-05-01 10:10:11	ga_s2bm_ard_3-2-1_55LEG_2023-05-01_nrt.stac-item
2023-05-01 10:17:41	ga_s2bm_ard_3-2-1_54HUC_2023-05-01_nrt.stac-item
2023-05-01 10:17:42	ga_s2bm_ard_3-2-1_53HPU_2023-05-01_nrt.stac-item
2023-05-01 10:17:46	ga_s2bm_ard_3-2-1_53HPT_2023-05-01_nrt.stac-item
2023-05-01 11:50:26	ga_s2bm_ard_3-2-1_51LVJ_2023-05-01_nrt.stac-item
2023-05-01 11:50:35	ga_s2bm_ard_3-2-1_51LTJ_2023-05-01_nrt.stac-item
2023-05-01 11:50:37	ga_s2bm_ard_3-2-1_50LRP_2023-05-01_nrt.stac-item
2023-05-01 11:50:40	ga_s2bm_ard_3-2-1_50LQP_2023-05-01_nrt.stac-item
2023-05-01 11:50:50	ga_s2bm_ard_3-2-1_51LTH_2023-05-01_nrt.stac-item
2023-05-01 11:50:51	ga_s2bm_ard_3-2-1_50LRN_2023-05-01_nrt.stac-item
2023-05-01 11:50:55	ga_s2bm_ard_3-2-1_50LQN_2023-05-01_nrt.stac-item
2023-05-01 11:51:04	ga_s2bm_ard_3-2-1_51LTG_2023-05-01_nrt.stac-item
2023-05-01 11:51:06	ga_s2bm_ard_3-2-1_50LRM_2023-05-01_nrt.stac-item
2023-05-01 11:51:09	ga_s2bm_ard_3-2-1_50LQM_2023-05-01_nrt.stac-item
2023-05-01 11:51:19	ga_s2bm_ard_3-2-1_51LTF_2023-05-01_nrt.stac-item
2023-05-01 11:51:20	ga_s2bm_ard_3-2-1_50LRL_2023-05-01_nrt.stac-item
2023-05-01 11:51:24	ga_s2bm_ard_3-2-1_50LQL_2023-05-01_nrt.stac-item
2023-05-01 11:51:28	ga_s2bm_ard_3-2-1_50LPL_2023-05-01_nrt.stac-item
2023-05-01 11:51:33	ga_s2bm_ard_3-2-1_51LTE_2023-05-01_nrt.stac-item
2023-05-01 11:51:35	ga_s2bm_ard_3-2-1_50LRK_2023-05-01_nrt.stac-item
2023-05-01 11:51:38	ga_s2bm_ard_3-2-1_50LQK_2023-05-01_nrt.stac-item
2023-05-01 11:51:48	ga_s2bm_ard_3-2-1_51LTD_2023-05-01_nrt.stac-item
2023-05-01 11:51:49	ga_s2bm_ard_3-2-1_50LRJ_2023-05-01_nrt.stac-item
2023-05-01 11:51:53	ga_s2bm_ard_3-2-1_50LQJ_2023-05-01_nrt.stac-item
2023-05-01 11:52:02	ga_s2bm_ard_3-2-1_51LTC_2023-05-01_nrt.stac-item
2023-05-01 11:52:04	ga_s2bm_ard_3-2-1_50LRH_2023-05-01_nrt.stac-item
2023-05-01 11:52:07	ga_s2bm_ard_3-2-1_50LQH_2023-05-01_nrt.stac-item
2023-05-01 11:52:18	ga_s2bm_ard_3-2-1_50KRG_2023-05-01_nrt.stac-item
2023-05-01 11:52:32	ga_s2bm_ard_3-2-1_50KRF_2023-05-01_nrt.stac-item
2023-05-01 11:52:45	ga_s2bm_ard_3-2-1_51KTV_2023-05-01_nrt.stac-item
2023-05-01 11:52:47	ga_s2bm_ard_3-2-1_50KRE_2023-05-01_nrt.stac-item
2023-05-01 11:56:46	ga_s2bm_ard_3-2-1_50HKK_2023-05-01_nrt.stac-item
2023-05-01 11:56:47	ga_s2bm_ard_3-2-1_49HGE_2023-05-01_nrt.stac-item
2023-05-01 11:57:00	ga_s2bm_ard_3-2-1_50HKJ_2023-05-01_nrt.stac-item
2023-05-01 11:57:02	ga_s2bm_ard_3-2-1_49HGD_2023-05-01_nrt.stac-item
2023-05-01 11:57:15	ga_s2bm_ard_3-2-1_50HKH_2023-05-01_nrt.stac-item
2023-05-01 11:57:17	ga_s2bm_ard_3-2-1_49HGC_2023-05-01_nrt.stac-item
2023-05-01 11:57:24	ga_s2bm_ard_3-2-1_49HFC_2023-05-01_nrt.stac-item
2023-05-01 11:57:27	ga_s2bm_ard_3-2-1_50HKG_2023-05-01_nrt.stac-item
2023-05-01 11:57:27	ga_s2bm_ard_3-2-1_49HGB_2023-05-01_nrt.stac-item
2023-05-01 11:57:30	ga_s2bm_ard_3-2-1_49HFB_2023-05-01_nrt.stac-item
2023-05-02 09:39:37	ga_s2bm_ard_3-2-1_56LPP_2023-05-02_nrt.stac-item
2023-05-02 09:39:52	ga_s2bm_ard_3-2-1_56LPN_2023-05-02_nrt.stac-item
2023-05-02 09:41:48	ga_s2bm_ard_3-2-1_56KNE_2023-05-02_nrt.stac-item
2023-05-02 09:42:30	ga_s2bm_ard_3-2-1_56KKC_2023-05-02_nrt.stac-item
2023-05-02 09:48:40	ga_s2bm_ard_3-2-1_54GYU_2023-05-02_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

Other products

All years