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
2017-07-05 11:32:58	ga_s2bm_ard_3-2-1_51KVR_2017-07-05_final
2017-08-08 11:07:11	ga_s2bm_ard_3-2-1_52LFN_2017-08-08_final.stac-item
2017-08-14 11:28:34	ga_s2bm_ard_3-2-1_51LXC_2017-08-14_final
2017-10-04 10:57:00	ga_s2bm_ard_3-2-1_52LHM_2017-10-04_final
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51KXU_2017-11-22_final
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_51JTK_2017-12-25_final
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_52LBK_2017-12-29_final
2018-02-07 11:16:52	ga_s2bm_ard_3-2-1_51KXR_2018-02-07_final
2018-04-06 10:37:24	ga_s2bm_ard_3-2-1_53JKF_2018-04-06_final
2018-04-11 11:36:20	ga_s2bm_ard_3-2-1_50HQJ_2018-04-11_final
2018-04-28 11:18:17	ga_s2bm_ard_3-2-1_51KZU_2018-04-28_final
2018-05-12 11:01:55	ga_s2bm_ard_3-2-1_52JFN_2018-05-12_final
2018-05-16 10:37:25	ga_s2bm_ard_3-2-1_53KNA_2018-05-16_final
2018-06-01 11:03:31	ga_s2bm_ard_3-2-1_52JDR_2018-06-01_final
2018-06-15 10:37:25	ga_s2bm_ard_3-2-1_53JNN_2018-06-15_final
2018-07-21 11:01:52	ga_s2bm_ard_3-2-1_52KEV_2018-07-21_final
2018-07-27 11:23:26	ga_s2bm_ard_3-2-1_51KWP_2018-07-27_final
2018-09-02 11:09:38	ga_s2bm_ard_3-2-1_52LHM_2018-09-02_final
2018-10-22 11:12:59	ga_s2bm_ard_3-2-1_51JYF_2018-10-22_final
2018-10-25 11:18:26	ga_s2bm_ard_3-2-1_52KCD_2018-10-25_final
2018-11-24 11:23:03	ga_s2bm_ard_3-2-1_52KBC_2018-11-24_final
2018-11-27 11:32:51	ga_s2bm_ard_3-2-1_51KXU_2018-11-27_final
2018-12-11 11:13:38	ga_s2bm_ard_3-2-1_52KEV_2018-12-11_final
2018-12-14 11:26:55	ga_s2bm_ard_3-2-1_51HUC_2018-12-14_final
2019-01-03 11:23:18	ga_s2bm_ard_3-2-1_52KBB_2019-01-03_final
2019-01-26 11:34:15	ga_s2bm_ard_3-2-1_51JXN_2019-01-26_final
2019-05-16 11:32:49	ga_s2bm_ard_3-2-1_51KWV_2019-05-16_final.stac-item
2019-06-25 11:36:57	ga_s2bm_ard_3-2-1_50HQJ_2019-06-25_final
2019-07-12 11:23:53	ga_s2bm_ard_3-2-1_51KZR_2019-07-12_final
2019-07-27 12:14:03	ga_s2bm_ard_3-2-1_49KHR_2019-07-27_final
2019-08-14 11:34:24	ga_s2bm_ard_3-2-1_51KUP_2019-08-14_final
2019-09-03 11:35:11	ga_s2bm_ard_3-2-1_51JWK_2019-09-03_final
2019-09-07 11:17:01	ga_s2bm_ard_3-2-1_51HWC_2019-09-07_final.stac-item
2019-11-12 11:32:54	ga_s2bm_ard_3-2-1_51KXU_2019-11-12_final
2019-11-12 11:33:01	ga_s2bm_ard_3-2-1_51KYT_2019-11-12_final
2019-11-29 11:23:30	ga_s2bm_ard_3-2-1_52KBA_2019-11-29_final
2019-12-12 11:33:17	ga_s2bm_ard_3-2-1_51KUT_2019-12-12_final
2019-12-20 10:50:51	ga_s2bm_ard_3-2-1_53LMF_2019-12-20_final
2020-02-20 11:34:10	ga_s2bm_ard_3-2-1_51KVP_2020-02-20_final
2020-03-08 11:23:23	ga_s2bm_ard_3-2-1_51KYS_2020-03-08_final
2020-03-13 10:36:57	ga_s2bm_ard_3-2-1_53HPA_2020-03-13_final
2020-04-15 10:43:47	ga_s2bm_ard_3-2-1_53KNP_2020-04-15_final
2020-07-18 12:03:39	ga_s2bm_ard_3-2-1_50KMB_2020-07-18_final
2020-07-19 11:36:48	ga_s2bm_ard_3-2-1_51HTD_2020-07-19_final
2020-08-07 10:25:43	ga_s2bm_ard_3-2-1_53JPG_2020-08-07_final
2020-09-18 11:05:39	ga_s2bm_ard_3-2-1_52JCN_2020-09-18_final
2020-09-28 11:04:17	ga_s2bm_ard_3-2-1_52JFT_2020-09-28_final
2020-09-29 12:14:44	ga_s2bm_ard_3-2-1_49JGN_2020-09-29_final
2020-10-11 11:14:13	ga_s2bm_ard_3-2-1_51KZP_2020-10-11_final
2020-10-22 10:43:55	ga_s2bm_ard_3-2-1_53KNP_2020-10-22_final
2020-10-25 10:55:57	ga_s2bm_ard_3-2-1_53JKF_2020-10-25_final
2020-12-12 11:53:28	ga_s2bm_ard_3-2-1_50KMC_2020-12-12_final
2021-01-14 12:03:41	ga_s2bm_ard_3-2-1_50KLB_2021-01-14_final
2021-01-18 11:42:45	ga_s2bm_ard_3-2-1_51KUV_2021-01-18_final
2021-02-04 11:32:19	ga_s2bm_ard_3-2-1_51KVB_2021-02-04_final
2021-03-14 10:52:24	ga_s2bm_ard_3-2-1_53KNV_2021-03-14_final
2021-05-02 11:24:15	ga_s2bm_ard_3-2-1_51JZN_2021-05-02_final
2021-06-01 11:25:53	ga_s2bm_ard_3-2-1_51JXG_2021-06-01_final
2021-06-26 10:34:14	ga_s2bm_ard_3-2-1_53JNN_2021-06-26_final
2021-06-28 11:13:37	ga_s2bm_ard_3-2-1_52KCA_2021-06-28_final
2021-09-08 10:16:57	ga_s2bm_ard_3-2-1_54HUF_2021-09-08_final
2021-11-03 10:34:08	ga_s2bm_ard_3-2-1_53JPN_2021-11-03_final
2022-01-04 11:11:23	ga_s2bm_ard_3-2-1_52LEJ_2022-01-04_final
2022-01-23 11:41:50	ga_s2bm_ard_3-2-1_51LWC_2022-01-23_final
2022-01-28 10:51:16	ga_s2bm_ard_3-2-1_53LND_2022-01-28_final
2022-05-10 11:34:00	ga_s2bm_ard_3-2-1_51KUQ_2022-05-10_final
2022-07-03 11:16:07	ga_s2bm_ard_3-2-1_52JCL_2022-07-03_final
2022-08-09 11:04:40	ga_s2bm_ard_3-2-1_52JDS_2022-08-09_final
2022-09-13 10:17:07	ga_s2bm_ard_3-2-1_53HQA_2022-09-13_final.stac-item
2022-10-01 11:13:39	ga_s2bm_ard_3-2-1_51KZR_2022-10-01_final.stac-item
2022-10-17 11:32:46	ga_s2bm_ard_3-2-1_51KVV_2022-10-17_final.stac-item
2022-11-15 10:26:53	ga_s2bm_ard_3-2-1_53HNB_2022-11-15_final.stac-item
2022-12-26 11:36:37	ga_s2bm_ard_3-2-1_50HPK_2022-12-26_final.stac-item
2023-01-26 11:00:34	ga_s2bm_ard_3-2-1_53LMG_2023-01-26_final.stac-item
2023-03-17 11:03:38	ga_s2bm_ard_3-2-1_52KEA_2023-03-17_final.stac-item
2023-04-08 11:43:20	ga_s2bm_ard_3-2-1_51KTT_2023-04-08_final.stac-item
2023-04-18 10:07:46	ga_s2bm_ard_3-2-1_54HVC_2023-04-18_final.stac-item
2023-05-14 10:27:03	ga_s2bm_ard_3-2-1_54HTF_2023-05-14_final.stac-item
2023-07-01 11:23:59	ga_s2bm_ard_3-2-1_51KYQ_2023-07-01_final.stac-item
2023-07-15 11:00:48	ga_s2bm_ard_3-2-1_53LKG_2023-07-15_final.stac-item
2023-07-19 10:42:42	ga_s2bm_ard_3-2-1_53KPU_2023-07-19_final.stac-item
2023-08-08 10:45:34	ga_s2bm_ard_3-2-1_53JKH_2023-08-08_final.stac-item
2023-08-27 11:16:45	ga_s2bm_ard_3-2-1_51HXD_2023-08-27_final.stac-item
2023-09-05 11:43:17	ga_s2bm_ard_3-2-1_51KVT_2023-09-05_final.stac-item
2023-09-24 10:36:32	ga_s2bm_ard_3-2-1_53HLD_2023-09-24_final.stac-item
2023-09-28 10:16:37	ga_s2bm_ard_3-2-1_54HTH_2023-09-28_final.stac-item
2023-10-01 12:04:41	ga_s2bm_ard_3-2-1_50JLT_2023-10-01_final.stac-item
2023-10-26 11:13:16	ga_s2bm_ard_3-2-1_52KEB_2023-10-26_final.stac-item
2023-11-12 11:05:24	ga_s2bm_ard_3-2-1_52JCP_2023-11-12_final.stac-item
2023-11-13 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2023-11-13_final.stac-item
2023-12-29 10:55:43	ga_s2bm_ard_3-2-1_52JGM_2023-12-29_final.stac-item
2024-01-25 10:44:05	ga_s2bm_ard_3-2-1_53JNN_2024-01-25_final.stac-item
2024-02-09 11:32:19	ga_s2bm_ard_3-2-1_51KVB_2024-02-09_final.stac-item
2024-03-04 11:13:54	ga_s2bm_ard_3-2-1_52KEU_2024-03-04_final.stac-item
2024-03-08 10:54:20	ga_s2bm_ard_3-2-1_52JHS_2024-03-08_final.stac-item
2024-03-26 11:57:15	ga_s2bm_ard_3-2-1_49HGC_2024-03-26_nrt.stac-item
2024-04-09 11:35:59	ga_s2bm_ard_3-2-1_51JUG_2024-04-09_final.stac-item
2024-04-26 11:25:23	ga_s2bm_ard_3-2-1_51JXJ_2024-04-26_final.stac-item
2024-05-10 11:03:46	ga_s2bm_ard_3-2-1_52KFV_2024-05-10_final.stac-item
2024-05-12 11:41:18	ga_s2bm_ard_3-2-1_51LUF_2024-05-12_interim.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