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
2017-10-08 10:37:12	ga_s2bm_ard_3-2-1_54KTG_2017-10-08_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52KGF_2018-01-02_final
2018-01-20 10:16:58	ga_s2bm_ard_3-2-1_53HQA_2018-01-20_final
2018-01-23 10:27:00	ga_s2bm_ard_3-2-1_54KTE_2018-01-23_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51JTK_2018-01-31_final
2018-02-03 11:40:42	ga_s2bm_ard_3-2-1_50JPR_2018-02-03_final
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50JLL_2018-02-16_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51KVT_2018-02-20_final
2018-03-01 10:16:57	ga_s2bm_ard_3-2-1_54LWM_2018-03-01_final
2018-05-13 12:14:07	ga_s2bm_ard_3-2-1_49JGK_2018-05-13_final
2018-06-18 10:47:23	ga_s2bm_ard_3-2-1_52KHF_2018-06-18_final
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_50KKB_2018-06-19_final
2018-07-04 11:12:50	ga_s2bm_ard_3-2-1_52JBN_2018-07-04_final
2018-09-29 11:00:36	ga_s2bm_ard_3-2-1_52JCQ_2018-09-29_final
2018-10-05 11:21:50	ga_s2bm_ard_3-2-1_51JXH_2018-10-05_final
2018-10-15 11:20:58	ga_s2bm_ard_3-2-1_51KYR_2018-10-15_final
2018-12-04 11:22:14	ga_s2bm_ard_3-2-1_52KCF_2018-12-04_final
2018-12-21 11:14:24	ga_s2bm_ard_3-2-1_51JYN_2018-12-21_final
2018-12-22 10:46:19	ga_s2bm_ard_3-2-1_53HLD_2018-12-22_final
2019-01-18 10:34:14	ga_s2bm_ard_3-2-1_53JRM_2019-01-18_final
2019-01-26 11:32:08	ga_s2bm_ard_3-2-1_51KYB_2019-01-26_final
2019-01-28 10:32:25	ga_s2bm_ard_3-2-1_54KVD_2019-01-28_final
2019-02-16 11:01:14	ga_s2bm_ard_3-2-1_52LHK_2019-02-16_final
2019-03-15 10:53:22	ga_s2bm_ard_3-2-1_53KLR_2019-03-15_final
2019-04-13 11:26:45	ga_s2bm_ard_3-2-1_51HWD_2019-04-13_final
2019-05-18 10:34:45	ga_s2bm_ard_3-2-1_53JPL_2019-05-18_final
2019-05-26 11:34:58	ga_s2bm_ard_3-2-1_51JTM_2019-05-26_final
2019-06-10 10:42:51	ga_s2bm_ard_3-2-1_53KMU_2019-06-10_final
2019-08-16 10:36:35	ga_s2bm_ard_3-2-1_53HLD_2019-08-16_final
2019-08-18 11:13:25	ga_s2bm_ard_3-2-1_52KDB_2019-08-18_final
2019-09-01 10:55:42	ga_s2bm_ard_3-2-1_53JKG_2019-09-01_final
2019-10-20 11:24:13	ga_s2bm_ard_3-2-1_51KXP_2019-10-20_final
2019-10-27 11:10:38	ga_s2bm_ard_3-2-1_52LHM_2019-10-27_final
2019-10-27 11:11:28	ga_s2bm_ard_3-2-1_52LGJ_2019-10-27_final
2020-01-08 11:21:51	ga_s2bm_ard_3-2-1_52LBH_2020-01-08_final
2020-01-10 10:20:37	ga_s2bm_ard_3-2-1_54LXL_2020-01-10_final
2020-01-15 11:15:12	ga_s2bm_ard_3-2-1_52JCP_2020-01-15_final
2020-01-24 10:07:19	ga_s2bm_ard_3-2-1_54HWD_2020-01-24_final
2020-02-04 11:11:24	ga_s2bm_ard_3-2-1_52LFJ_2020-02-04_final
2020-02-21 11:00:59	ga_s2bm_ard_3-2-1_53LKF_2020-02-21_final
2020-03-03 10:34:23	ga_s2bm_ard_3-2-1_53JNM_2020-03-03_final
2020-03-03 10:34:37	ga_s2bm_ard_3-2-1_53JNL_2020-03-03_final
2020-04-19 12:03:18	ga_s2bm_ard_3-2-1_50KMC_2020-04-19_final
2020-06-06 11:24:17	ga_s2bm_ard_3-2-1_51KWP_2020-06-06_final
2020-07-20 11:04:16	ga_s2bm_ard_3-2-1_52JFT_2020-07-20_final
2020-08-11 11:45:41	ga_s2bm_ard_3-2-1_50JNP_2020-08-11_final
2020-08-12 11:13:18	ga_s2bm_ard_3-2-1_52KEB_2020-08-12_final
2020-09-07 11:32:22	ga_s2bm_ard_3-2-1_51KVB_2020-09-07_final
2020-09-17 11:34:38	ga_s2bm_ard_3-2-1_50JRT_2020-09-17_final
2020-10-06 10:25:00	ga_s2bm_ard_3-2-1_54JVP_2020-10-06_final
2020-10-23 10:13:55	ga_s2bm_ard_3-2-1_54JYT_2020-10-23_final
2020-12-05 10:26:00	ga_s2bm_ard_3-2-1_54HTK_2020-12-05_final
2020-12-11 10:44:47	ga_s2bm_ard_3-2-1_53JNK_2020-12-11_final
2021-01-24 10:27:05	ga_s2bm_ard_3-2-1_53HPA_2021-01-24_final
2021-02-03 12:04:06	ga_s2bm_ard_3-2-1_50KMV_2021-02-03_final
2021-02-11 11:23:15	ga_s2bm_ard_3-2-1_52KCB_2021-02-11_final
2021-02-12 10:50:40	ga_s2bm_ard_3-2-1_53LMG_2021-02-12_final
2021-02-12 10:52:48	ga_s2bm_ard_3-2-1_53KLT_2021-02-12_final
2021-03-16 09:55:56	ga_s2bm_ard_3-2-1_54HYK_2021-03-16_final
2021-03-21 10:43:40	ga_s2bm_ard_3-2-1_53KMQ_2021-03-21_final
2021-05-04 10:26:47	ga_s2bm_ard_3-2-1_53HPB_2021-05-04_final
2021-06-16 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2021-06-16_final
2021-07-05 11:04:57	ga_s2bm_ard_3-2-1_52JCR_2021-07-05_final
2021-07-10 11:53:12	ga_s2bm_ard_3-2-1_50KRC_2021-07-10_final
2021-07-23 12:05:53	ga_s2bm_ard_3-2-1_50JLN_2021-07-23_final
2021-08-02 10:26:34	ga_s2bm_ard_3-2-1_53HQC_2021-08-02_final
2021-09-02 11:35:34	ga_s2bm_ard_3-2-1_50JQP_2021-09-02_final
2021-09-03 11:01:16	ga_s2bm_ard_3-2-1_52LHJ_2021-09-03_final
2021-09-14 10:36:25	ga_s2bm_ard_3-2-1_53HLD_2021-09-14_final
2021-12-23 10:35:29	ga_s2bm_ard_3-2-1_53JPG_2021-12-23_final
2022-01-03 11:41:51	ga_s2bm_ard_3-2-1_51LWC_2022-01-03_final
2022-01-31 11:02:42	ga_s2bm_ard_3-2-1_52KFD_2022-01-31_final
2022-03-15 11:13:41	ga_s2bm_ard_3-2-1_52KBA_2022-03-15_final
2022-04-02 10:33:28	ga_s2bm_ard_3-2-1_53KRQ_2022-04-02_final
2022-04-18 10:54:29	ga_s2bm_ard_3-2-1_52JFS_2022-04-18_final
2022-04-22 12:13:49	ga_s2bm_ard_3-2-1_49KHR_2022-04-22_final
2022-05-06 11:53:17	ga_s2bm_ard_3-2-1_50KPC_2022-05-06_final
2022-05-23 11:44:13	ga_s2bm_ard_3-2-1_51KUP_2022-05-23_final
2022-08-01 11:45:37	ga_s2bm_ard_3-2-1_50JQP_2022-08-01_final
2023-01-10 10:41:27	ga_s2bm_ard_3-2-1_53LRC_2023-01-10_nrt.stac-item
2023-01-17 10:33:32	ga_s2bm_ard_3-2-1_53KQQ_2023-01-17_final.stac-item
2023-01-31 11:55:44	ga_s2bm_ard_3-2-1_50JKP_2023-01-31_final.stac-item
2023-02-07 10:04:05	ga_s2bm_ard_3-2-1_54JZS_2023-02-07_final.stac-item
2023-02-28 11:10:26	ga_s2bm_ard_3-2-1_52LHN_2023-02-28_final.stac-item
2023-03-01 10:43:23	ga_s2bm_ard_3-2-1_53KNR_2023-03-01_final.stac-item
2023-03-24 10:50:40	ga_s2bm_ard_3-2-1_53LNG_2023-03-24_final.stac-item
2023-04-08 11:46:07	ga_s2bm_ard_3-2-1_50JPM_2023-04-08_final.stac-item
2023-04-26 11:03:18	ga_s2bm_ard_3-2-1_52KFB_2023-04-26_final.stac-item
2023-04-28 11:42:33	ga_s2bm_ard_3-2-1_51KUA_2023-04-28_final.stac-item
2023-05-09 11:10:40	ga_s2bm_ard_3-2-1_52LHM_2023-05-09_final.stac-item
2023-06-03 10:24:44	ga_s2bm_ard_3-2-1_53JQL_2023-06-03_final.stac-item
2023-07-03 10:24:32	ga_s2bm_ard_3-2-1_54JVR_2023-07-03_final.stac-item
2023-07-15 11:05:27	ga_s2bm_ard_3-2-1_52JCP_2023-07-15_final.stac-item
2023-08-19 10:16:33	ga_s2bm_ard_3-2-1_54HVH_2023-08-19_final.stac-item
2023-09-12 11:33:42	ga_s2bm_ard_3-2-1_51KXR_2023-09-12_final.stac-item
2023-11-14 10:06:46	ga_s2bm_ard_3-2-1_54HVG_2023-11-14_final.stac-item
2023-12-26 10:46:25	ga_s2bm_ard_3-2-1_53HLD_2023-12-26_final.stac-item
2024-01-20 11:33:12	ga_s2bm_ard_3-2-1_51KWT_2024-01-20_final.stac-item
2024-02-13 11:12:39	ga_s2bm_ard_3-2-1_52KCE_2024-02-13_final.stac-item
2024-03-08 10:51:45	ga_s2bm_ard_3-2-1_53KNB_2024-03-08_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

Other products

All years