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
2017-07-10 10:42:03	ga_s2bm_ard_3-2-1_53KRA_2017-07-10_final
2017-09-23 11:29:24	ga_s2bm_ard_3-2-1_51KWB_2017-09-23_final
2017-09-23 11:35:47	ga_s2bm_ard_3-2-1_50HPJ_2017-09-23_final
2017-12-01 10:23:16	ga_s2bm_ard_3-2-1_54JUM_2017-12-01_final
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_52LBK_2017-12-29_final
2018-01-01 09:51:45	ga_s2bm_ard_3-2-1_55GCQ_2018-01-01_final
2018-01-13 10:27:00	ga_s2bm_ard_3-2-1_53JQL_2018-01-13_final
2018-02-08 10:47:18	ga_s2bm_ard_3-2-1_53KNA_2018-02-08_final
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_51KWQ_2018-04-11_final
2018-04-21 09:50:53	ga_s2bm_ard_3-2-1_55HDD_2018-04-21_final
2018-05-08 11:16:58	ga_s2bm_ard_3-2-1_51KXU_2018-05-08_final
2018-05-30 10:17:02	ga_s2bm_ard_3-2-1_54JVS_2018-05-30_final
2018-06-10 11:28:17	ga_s2bm_ard_3-2-1_51KXR_2018-06-10_final
2018-06-19 10:17:04	ga_s2bm_ard_3-2-1_54LWM_2018-06-19_final
2018-06-20 09:56:14	ga_s2bm_ard_3-2-1_54HWC_2018-06-20_final
2018-07-17 09:46:28	ga_s2bm_ard_3-2-1_55GER_2018-07-17_final
2018-09-18 11:30:06	ga_s2bm_ard_3-2-1_51LYD_2018-09-18_final
2018-11-17 11:36:45	ga_s2bm_ard_3-2-1_50HQJ_2018-11-17_final
2018-11-22 10:42:33	ga_s2bm_ard_3-2-1_53KPU_2018-11-22_final
2018-12-17 11:32:56	ga_s2bm_ard_3-2-1_51KVU_2018-12-17_final
2019-01-08 10:31:44	ga_s2bm_ard_3-2-1_54KUG_2019-01-08_final
2019-02-02 09:46:27	ga_s2bm_ard_3-2-1_55HFB_2019-02-02_final
2019-02-10 10:45:55	ga_s2bm_ard_3-2-1_53JLF_2019-02-10_final
2019-04-16 11:32:38	ga_s2bm_ard_3-2-1_51KVA_2019-04-16_final
2019-04-22 10:15:29	ga_s2bm_ard_3-2-1_54JXM_2019-04-22_final
2019-05-01 10:41:16	ga_s2bm_ard_3-2-1_53LPE_2019-05-01_final
2019-07-05 11:36:28	ga_s2bm_ard_3-2-1_50JQL_2019-07-05_final
2019-07-08 10:04:48	ga_s2bm_ard_3-2-1_54JYQ_2019-07-08_final
2019-07-08 10:04:52	ga_s2bm_ard_3-2-1_54JXQ_2019-07-08_final
2019-07-25 09:57:16	ga_s2bm_ard_3-2-1_54HYE_2019-07-25_final
2019-08-14 11:34:09	ga_s2bm_ard_3-2-1_51KUQ_2019-08-14_final
2019-08-26 12:13:56	ga_s2bm_ard_3-2-1_49KHR_2019-08-26_final
2019-10-20 11:23:11	ga_s2bm_ard_3-2-1_51KYT_2019-10-20_final
2019-11-05 11:43:15	ga_s2bm_ard_3-2-1_51KUT_2019-11-05_final
2019-11-22 11:31:57	ga_s2bm_ard_3-2-1_51LWC_2019-11-22_final
2020-01-01 09:56:47	ga_s2bm_ard_3-2-1_54HYF_2020-01-01_final
2020-01-15 09:36:40	ga_s2bm_ard_3-2-1_55HFA_2020-01-15_final
2020-02-17 11:23:16	ga_s2bm_ard_3-2-1_52KBB_2020-02-17_final
2020-04-04 11:14:46	ga_s2bm_ard_3-2-1_52JCR_2020-04-04_final
2020-05-26 10:15:51	ga_s2bm_ard_3-2-1_54HXK_2020-05-26_final
2020-08-27 10:20:42	ga_s2bm_ard_3-2-1_54LYL_2020-08-27_final
2020-09-01 11:13:36	ga_s2bm_ard_3-2-1_52KDA_2020-09-01_final
2020-11-18 10:33:39	ga_s2bm_ard_3-2-1_53KPQ_2020-11-18_final
2020-11-19 11:43:19	ga_s2bm_ard_3-2-1_50KRC_2020-11-19_final
2020-12-18 10:35:46	ga_s2bm_ard_3-2-1_53JNF_2020-12-18_final
2020-12-20 11:12:20	ga_s2bm_ard_3-2-1_52KCF_2020-12-20_final
2021-01-01 11:53:34	ga_s2bm_ard_3-2-1_50KPB_2021-01-01_final
2021-01-09 11:13:21	ga_s2bm_ard_3-2-1_52KCB_2021-01-09_final
2021-08-05 10:35:57	ga_s2bm_ard_3-2-1_53JMF_2021-08-05_final
2021-08-06 10:06:39	ga_s2bm_ard_3-2-1_54HYG_2021-08-06_final
2021-08-17 11:10:29	ga_s2bm_ard_3-2-1_52LGN_2021-08-17_final
2021-09-04 10:35:12	ga_s2bm_ard_3-2-1_53JMJ_2021-09-04_final
2021-09-25 11:41:54	ga_s2bm_ard_3-2-1_51LWC_2021-09-25_final
2021-10-11 10:24:49	ga_s2bm_ard_3-2-1_54JTQ_2021-10-11_final
2021-10-28 11:55:58	ga_s2bm_ard_3-2-1_50JLN_2021-10-28_final
2021-12-23 12:14:55	ga_s2bm_ard_3-2-1_49JFM_2021-12-23_final
2021-12-26 10:44:12	ga_s2bm_ard_3-2-1_53JPM_2021-12-26_final
2022-01-08 10:53:56	ga_s2bm_ard_3-2-1_53JMN_2022-01-08_final
2022-03-16 10:41:07	ga_s2bm_ard_3-2-1_53LPE_2022-03-16_final
2022-04-15 10:45:40	ga_s2bm_ard_3-2-1_53JKG_2022-04-15_final
2022-04-17 09:46:02	ga_s2bm_ard_3-2-1_55HDD_2022-04-17_final
2022-04-20 11:37:02	ga_s2bm_ard_3-2-1_50HPH_2022-04-20_final
2022-05-19 10:21:00	ga_s2bm_ard_3-2-1_54LZJ_2022-05-19_final
2022-06-03 09:38:01	ga_s2bm_ard_3-2-1_55GER_2022-06-03_final
2022-06-19 09:57:54	ga_s2bm_ard_3-2-1_55HBS_2022-06-19_final
2022-07-09 11:33:07	ga_s2bm_ard_3-2-1_51KYT_2022-07-09_final
2022-07-13 11:12:25	ga_s2bm_ard_3-2-1_52KDF_2022-07-13_final
2022-09-03 10:16:35	ga_s2bm_ard_3-2-1_54HTH_2022-09-03_final.stac-item
2022-09-16 10:26:38	ga_s2bm_ard_3-2-1_53HPC_2022-09-16_final.stac-item
2022-10-02 10:46:05	ga_s2bm_ard_3-2-1_53HME_2022-10-02_final.stac-item
2022-10-04 11:23:52	ga_s2bm_ard_3-2-1_51KYQ_2022-10-04_final.stac-item
2022-10-16 10:24:03	ga_s2bm_ard_3-2-1_53JRN_2022-10-16_final.stac-item
2022-10-26 10:20:20	ga_s2bm_ard_3-2-1_54LZM_2022-10-26_final.stac-item
2023-01-24 12:03:57	ga_s2bm_ard_3-2-1_50KKA_2023-01-24_final.stac-item
2023-01-26 11:00:56	ga_s2bm_ard_3-2-1_53LKF_2023-01-26_final.stac-item
2023-02-05 11:02:56	ga_s2bm_ard_3-2-1_52KGC_2023-02-05_final.stac-item
2023-02-24 11:33:38	ga_s2bm_ard_3-2-1_51KXR_2023-02-24_final.stac-item
2023-03-23 09:47:56	ga_s2bm_ard_3-2-1_55HBS_2023-03-23_final.stac-item
2023-03-23 11:23:38	ga_s2bm_ard_3-2-1_51KZR_2023-03-23_final.stac-item
2023-04-09 11:16:46	ga_s2bm_ard_3-2-1_51HWD_2023-04-09_final.stac-item
2023-05-19 09:38:54	ga_s2bm_ard_3-2-1_55GDN_2023-05-19_final.stac-item
2023-05-29 09:38:49	ga_s2bm_ard_3-2-1_55GEN_2023-05-29_final.stac-item
2023-06-09 10:44:00	ga_s2bm_ard_3-2-1_53KMP_2023-06-09_final.stac-item
2023-06-24 11:34:07	ga_s2bm_ard_3-2-1_51KUQ_2023-06-24_final.stac-item
2023-07-24 11:33:08	ga_s2bm_ard_3-2-1_51KYT_2023-07-24_final.stac-item
2023-07-24 11:34:11	ga_s2bm_ard_3-2-1_51KXP_2023-07-24_final.stac-item
2023-08-03 09:56:50	ga_s2bm_ard_3-2-1_55HDA_2023-08-03_final.stac-item
2023-10-07 10:45:41	ga_s2bm_ard_3-2-1_53JLG_2023-10-07_final.stac-item
2023-10-11 10:19:54	ga_s2bm_ard_3-2-1_54LZP_2023-10-11_final.stac-item
2023-11-03 10:34:21	ga_s2bm_ard_3-2-1_53JQM_2023-11-03_final.stac-item
2023-11-18 09:46:15	ga_s2bm_ard_3-2-1_55HEC_2023-11-18_final.stac-item
2023-11-25 11:15:17	ga_s2bm_ard_3-2-1_52JBP_2023-11-25_final.stac-item
2023-12-20 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2023-12-20_final.stac-item
2024-01-06 10:14:46	ga_s2bm_ard_3-2-1_54JVQ_2024-01-06_final.stac-item
2024-01-27 11:23:20	ga_s2bm_ard_3-2-1_51KZS_2024-01-27_final.stac-item
2024-02-08 10:20:57	ga_s2bm_ard_3-2-1_54LXK_2024-02-08_final.stac-item
2024-02-20 11:01:03	ga_s2bm_ard_3-2-1_52LGL_2024-02-20_final.stac-item
2024-03-10 11:34:32	ga_s2bm_ard_3-2-1_50JRT_2024-03-10_final.stac-item
2024-03-17 11:21:45	ga_s2bm_ard_3-2-1_52LDH_2024-03-17_final.stac-item
2024-04-03 11:13:46	ga_s2bm_ard_3-2-1_52KDV_2024-04-03_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