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
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_51LWG_2017-08-27_final.stac-item
2017-11-04 10:32:19	ga_s2bm_ard_3-2-1_53JQJ_2017-11-04_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50JMM_2017-12-15_final
2017-12-26 11:07:01	ga_s2bm_ard_3-2-1_52KDG_2017-12-26_final
2018-04-20 10:17:04	ga_s2bm_ard_3-2-1_54JTR_2018-04-20_final
2018-08-11 10:29:56	ga_s2bm_ard_3-2-1_53JQM_2018-08-11_final
2018-09-30 10:31:00	ga_s2bm_ard_3-2-1_53JRM_2018-09-30_final
2018-10-03 10:40:08	ga_s2bm_ard_3-2-1_53JNN_2018-10-03_final
2018-11-01 11:14:12	ga_s2bm_ard_3-2-1_52JDT_2018-11-01_final
2018-11-29 12:14:56	ga_s2bm_ard_3-2-1_49JFM_2018-11-29_final
2018-12-30 11:42:54	ga_s2bm_ard_3-2-1_51KVU_2018-12-30_final
2019-01-15 10:21:25	ga_s2bm_ard_3-2-1_54LXH_2019-01-15_final
2019-01-24 10:50:35	ga_s2bm_ard_3-2-1_53LPG_2019-01-24_final
2019-03-26 10:24:34	ga_s2bm_ard_3-2-1_54JTR_2019-03-26_final
2019-06-04 10:24:27	ga_s2bm_ard_3-2-1_54JTS_2019-06-04_final
2019-06-25 11:33:24	ga_s2bm_ard_3-2-1_51KVT_2019-06-25_final
2019-07-17 10:34:23	ga_s2bm_ard_3-2-1_54JTS_2019-07-17_final
2019-07-24 10:20:07	ga_s2bm_ard_3-2-1_54LXP_2019-07-24_final
2019-07-27 10:34:41	ga_s2bm_ard_3-2-1_53JQL_2019-07-27_final
2019-08-26 10:33:54	ga_s2bm_ard_3-2-1_53KQP_2019-08-26_final
2019-08-26 10:34:19	ga_s2bm_ard_3-2-1_54JTS_2019-08-26_final
2019-09-22 10:26:53	ga_s2bm_ard_3-2-1_53HNB_2019-09-22_final
2019-10-18 10:44:07	ga_s2bm_ard_3-2-1_53JNN_2019-10-18_final
2019-10-27 11:10:44	ga_s2bm_ard_3-2-1_52LGM_2019-10-27_final
2019-12-24 10:30:21	ga_s2bm_ard_3-2-1_54LWM_2019-12-24_final
2019-12-29 11:23:23	ga_s2bm_ard_3-2-1_51KXS_2019-12-29_final
2020-01-22 11:02:41	ga_s2bm_ard_3-2-1_52KFD_2020-01-22_final
2020-02-02 10:36:43	ga_s2bm_ard_3-2-1_53HNB_2020-02-02_final
2020-02-19 10:25:32	ga_s2bm_ard_3-2-1_54JVL_2020-02-19_final
2020-02-19 12:05:37	ga_s2bm_ard_3-2-1_50JKP_2020-02-19_final
2020-03-01 11:33:39	ga_s2bm_ard_3-2-1_51KWR_2020-03-01_final
2020-03-02 11:05:10	ga_s2bm_ard_3-2-1_52JFP_2020-03-02_final
2020-04-12 10:33:45	ga_s2bm_ard_3-2-1_53KQP_2020-04-12_final
2020-04-22 10:30:02	ga_s2bm_ard_3-2-1_54LXN_2020-04-22_final
2020-05-20 09:57:45	ga_s2bm_ard_3-2-1_54HWC_2020-05-20_final
2020-06-23 11:10:49	ga_s2bm_ard_3-2-1_52LFM_2020-06-23_final.stac-item
2020-08-17 10:24:43	ga_s2bm_ard_3-2-1_53JQL_2020-08-17_final
2020-09-19 10:36:08	ga_s2bm_ard_3-2-1_53HNE_2020-09-19_final
2020-10-27 11:33:34	ga_s2bm_ard_3-2-1_51KVS_2020-10-27_final
2020-12-10 11:10:59	ga_s2bm_ard_3-2-1_52LFL_2020-12-10_final
2020-12-12 10:12:40	ga_s2bm_ard_3-2-1_54KXC_2020-12-12_final
2021-01-03 10:55:30	ga_s2bm_ard_3-2-1_52JFN_2021-01-03_final
2021-02-13 10:23:56	ga_s2bm_ard_3-2-1_54JVT_2021-02-13_final
2021-03-09 11:43:24	ga_s2bm_ard_3-2-1_51KVS_2021-03-09_final
2021-05-04 10:24:31	ga_s2bm_ard_3-2-1_54JTR_2021-05-04_final
2021-05-15 09:58:04	ga_s2bm_ard_3-2-1_54GYA_2021-05-15_final
2021-05-17 10:33:59	ga_s2bm_ard_3-2-1_54JTT_2021-05-17_final
2021-06-10 11:55:17	ga_s2bm_ard_3-2-1_50JPQ_2021-06-10_final
2021-06-13 10:26:48	ga_s2bm_ard_3-2-1_53HQB_2021-06-13_final
2021-06-13 12:05:16	ga_s2bm_ard_3-2-1_49JGL_2021-06-13_final
2021-06-15 11:00:37	ga_s2bm_ard_3-2-1_53LMG_2021-06-15_final
2021-06-19 10:44:21	ga_s2bm_ard_3-2-1_53JNM_2021-06-19_final
2021-07-03 12:03:21	ga_s2bm_ard_3-2-1_50KNC_2021-07-03_final
2021-09-14 10:30:14	ga_s2bm_ard_3-2-1_54LXM_2021-09-14_final
2021-09-24 10:34:30	ga_s2bm_ard_3-2-1_53JQL_2021-09-24_final
2021-10-01 10:24:33	ga_s2bm_ard_3-2-1_54JTR_2021-10-01_final
2021-11-07 11:52:20	ga_s2bm_ard_3-2-1_50KQG_2021-11-07_final.stac-item
2021-11-13 10:34:03	ga_s2bm_ard_3-2-1_53JQN_2021-11-13_final
2022-01-05 10:44:13	ga_s2bm_ard_3-2-1_53JPM_2022-01-05_final
2022-01-15 10:42:49	ga_s2bm_ard_3-2-1_53KNT_2022-01-15_final
2022-01-23 10:07:24	ga_s2bm_ard_3-2-1_54HVD_2022-01-23_final
2022-01-27 11:21:41	ga_s2bm_ard_3-2-1_52LDH_2022-01-27_final
2022-03-30 10:26:58	ga_s2bm_ard_3-2-1_53HQA_2022-03-30_final
2022-04-13 11:40:54	ga_s2bm_ard_3-2-1_51LWG_2022-04-13_final.stac-item
2022-06-09 11:33:15	ga_s2bm_ard_3-2-1_51KWT_2022-06-09_final
2022-07-11 10:34:34	ga_s2bm_ard_3-2-1_54JTR_2022-07-11_final
2022-08-20 10:34:27	ga_s2bm_ard_3-2-1_53JNM_2022-08-20_final
2022-10-26 10:24:08	ga_s2bm_ard_3-2-1_54JWS_2022-10-26_final.stac-item
2022-11-05 10:24:34	ga_s2bm_ard_3-2-1_53JQL_2022-11-05_final.stac-item
2022-11-25 10:20:30	ga_s2bm_ard_3-2-1_54LWM_2022-11-25_final.stac-item
2022-11-28 10:34:56	ga_s2bm_ard_3-2-1_53JQJ_2022-11-28_final.stac-item
2022-12-05 10:26:33	ga_s2bm_ard_3-2-1_54HTH_2022-12-05_final.stac-item
2022-12-06 11:33:13	ga_s2bm_ard_3-2-1_51KVT_2022-12-06_final.stac-item
2022-12-14 10:50:32	ga_s2bm_ard_3-2-1_53LPG_2022-12-14_final.stac-item
2022-12-17 11:00:43	ga_s2bm_ard_3-2-1_52LHM_2022-12-17_final.stac-item
2022-12-23 11:21:49	ga_s2bm_ard_3-2-1_52LCH_2022-12-23_final.stac-item
2023-01-07 10:32:34	ga_s2bm_ard_3-2-1_54KVC_2023-01-07_final.stac-item
2023-01-11 10:17:11	ga_s2bm_ard_3-2-1_54HUE_2023-01-11_final.stac-item
2023-01-13 10:50:48	ga_s2bm_ard_3-2-1_53LNF_2023-01-13_final.stac-item
2023-01-25 11:31:33	ga_s2bm_ard_3-2-1_51LZD_2023-01-25_final.stac-item
2023-01-30 10:42:59	ga_s2bm_ard_3-2-1_53KQS_2023-01-30_final.stac-item
2023-02-16 10:36:37	ga_s2bm_ard_3-2-1_53HMC_2023-02-16_final.stac-item
2023-02-17 11:43:23	ga_s2bm_ard_3-2-1_51KVS_2023-02-17_final.stac-item
2023-02-23 10:20:57	ga_s2bm_ard_3-2-1_54LXK_2023-02-23_final.stac-item
2023-04-04 12:03:44	ga_s2bm_ard_3-2-1_50KLB_2023-04-04_final.stac-item
2023-04-12 11:23:44	ga_s2bm_ard_3-2-1_51KXR_2023-04-12_final.stac-item
2023-06-14 11:33:18	ga_s2bm_ard_3-2-1_51KWT_2023-06-14_final.stac-item
2023-06-14 11:37:22	ga_s2bm_ard_3-2-1_50HQG_2023-06-14_final.stac-item
2023-07-23 10:20:37	ga_s2bm_ard_3-2-1_54LWM_2023-07-23_final.stac-item
2023-07-23 10:24:40	ga_s2bm_ard_3-2-1_54JTR_2023-07-23_final.stac-item
2023-07-26 10:32:57	ga_s2bm_ard_3-2-1_53KQT_2023-07-26_final.stac-item
2023-07-28 11:13:19	ga_s2bm_ard_3-2-1_52KBC_2023-07-28_final.stac-item
2023-08-03 11:34:01	ga_s2bm_ard_3-2-1_51KWQ_2023-08-03_final.stac-item
2023-09-06 11:13:34	ga_s2bm_ard_3-2-1_52KEA_2023-09-06_final.stac-item
2023-09-16 11:10:35	ga_s2bm_ard_3-2-1_52LFN_2023-09-16_final.stac-item
2023-10-30 10:50:22	ga_s2bm_ard_3-2-1_53LPH_2023-10-30_final.stac-item
2023-12-03 10:31:43	ga_s2bm_ard_3-2-1_54KUG_2023-12-03_final.stac-item
2024-01-03 10:07:16	ga_s2bm_ard_3-2-1_54HVE_2024-01-03_final.stac-item
2024-02-01 10:33:42	ga_s2bm_ard_3-2-1_53KRP_2024-02-01_final.stac-item
2024-03-02 10:34:11	ga_s2bm_ard_3-2-1_53JRM_2024-03-02_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