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
2017-07-12 11:20:57	ga_s2bm_ard_3-2-1_51HWC_2017-07-12_final.stac-item
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_50KMC_2017-09-22_final
2017-10-13 11:30:03	ga_s2bm_ard_3-2-1_51KWT_2017-10-13_final
2017-11-01 12:02:36	ga_s2bm_ard_3-2-1_50KMC_2017-11-01_final
2017-11-14 12:13:08	ga_s2bm_ard_3-2-1_50KKB_2017-11-14_final
2017-12-14 12:13:09	ga_s2bm_ard_3-2-1_49KHR_2017-12-14_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52HDK_2018-01-02_final.stac-item
2018-01-03 12:13:12	ga_s2bm_ard_3-2-1_49KHR_2018-01-03_final
2018-03-19 11:20:54	ga_s2bm_ard_3-2-1_51JWH_2018-03-19_final
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_51KWQ_2018-03-22_final
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_51JXN_2018-04-21_final
2018-06-04 11:12:12	ga_s2bm_ard_3-2-1_52KEU_2018-06-04_final
2018-06-13 11:37:58	ga_s2bm_ard_3-2-1_50KQC_2018-06-13_final
2018-07-16 11:52:50	ga_s2bm_ard_3-2-1_50HMJ_2018-07-16_final
2018-07-19 12:03:30	ga_s2bm_ard_3-2-1_49JHN_2018-07-19_final
2018-07-27 11:23:26	ga_s2bm_ard_3-2-1_51HVE_2018-07-27_final
2018-09-02 11:09:38	ga_s2bm_ard_3-2-1_52KDF_2018-09-02_final
2018-09-02 11:09:38	ga_s2bm_ard_3-2-1_52LFM_2018-09-02_final.stac-item
2018-09-12 11:07:03	ga_s2bm_ard_3-2-1_52KBC_2018-09-12_final
2018-10-21 11:45:13	ga_s2bm_ard_3-2-1_50HNH_2018-10-21_final
2018-11-03 11:47:22	ga_s2bm_ard_3-2-1_50KPC_2018-11-03_final
2018-11-21 11:10:29	ga_s2bm_ard_3-2-1_52LFN_2018-11-21_final.stac-item
2018-11-24 11:22:57	ga_s2bm_ard_3-2-1_51KXU_2018-11-24_final
2018-12-30 11:43:00	ga_s2bm_ard_3-2-1_51KTU_2018-12-30_final
2019-01-06 11:36:59	ga_s2bm_ard_3-2-1_51HTC_2019-01-06_final
2019-03-20 11:42:12	ga_s2bm_ard_3-2-1_51KVB_2019-03-20_final
2019-04-19 11:42:27	ga_s2bm_ard_3-2-1_51KVA_2019-04-19_final
2019-08-13 12:04:46	ga_s2bm_ard_3-2-1_50JLT_2019-08-13_final
2019-09-12 12:03:45	ga_s2bm_ard_3-2-1_50KKB_2019-09-12_final
2019-11-23 11:00:27	ga_s2bm_ard_3-2-1_52LHN_2019-11-23_final
2019-12-26 11:11:32	ga_s2bm_ard_3-2-1_52LDJ_2019-12-26_final
2020-01-05 11:12:59	ga_s2bm_ard_3-2-1_52KDC_2020-01-05_final
2020-02-04 11:13:48	ga_s2bm_ard_3-2-1_52KBV_2020-02-04_final
2020-02-10 11:34:23	ga_s2bm_ard_3-2-1_51JVN_2020-02-10_final
2020-02-13 11:42:41	ga_s2bm_ard_3-2-1_51KUV_2020-02-13_final
2020-03-25 11:13:17	ga_s2bm_ard_3-2-1_52KDB_2020-03-25_final
2020-04-10 11:35:52	ga_s2bm_ard_3-2-1_51JVG_2020-04-10_final
2020-05-04 11:13:04	ga_s2bm_ard_3-2-1_52KEB_2020-05-04_final
2020-06-03 11:16:42	ga_s2bm_ard_3-2-1_51HXD_2020-06-03_final
2020-06-10 11:05:04	ga_s2bm_ard_3-2-1_52JEQ_2020-06-10_final
2020-06-12 11:46:45	ga_s2bm_ard_3-2-1_50HQJ_2020-06-12_final
2020-06-13 11:13:14	ga_s2bm_ard_3-2-1_52KDB_2020-06-13_final
2020-06-26 11:26:20	ga_s2bm_ard_3-2-1_51JUF_2020-06-26_final
2020-07-02 11:47:12	ga_s2bm_ard_3-2-1_50HMH_2020-07-02_final
2020-08-05 11:24:18	ga_s2bm_ard_3-2-1_51KWP_2020-08-05_final
2020-09-30 11:41:21	ga_s2bm_ard_3-2-1_51LUF_2020-09-30_final
2020-10-06 12:03:48	ga_s2bm_ard_3-2-1_50KKB_2020-10-06_final
2020-10-10 11:42:46	ga_s2bm_ard_3-2-1_51KVV_2020-10-10_final
2020-10-20 11:47:24	ga_s2bm_ard_3-2-1_50HNG_2020-10-20_final.stac-item
2020-11-22 11:52:20	ga_s2bm_ard_3-2-1_50KQG_2020-11-22_final.stac-item
2020-12-03 11:23:19	ga_s2bm_ard_3-2-1_52KBB_2020-12-03_final
2020-12-03 11:24:07	ga_s2bm_ard_3-2-1_51KYP_2020-12-03_final
2020-12-05 12:04:55	ga_s2bm_ard_3-2-1_49JHM_2020-12-05_final
2020-12-19 11:43:32	ga_s2bm_ard_3-2-1_51KVR_2020-12-19_final
2020-12-26 11:36:21	ga_s2bm_ard_3-2-1_51HVE_2020-12-26_final
2020-12-27 11:06:34	ga_s2bm_ard_3-2-1_51HYD_2020-12-27_final
2021-02-25 11:03:47	ga_s2bm_ard_3-2-1_52KEV_2021-02-25_final
2021-03-23 11:23:05	ga_s2bm_ard_3-2-1_52KBC_2021-03-23_final
2021-03-30 11:14:04	ga_s2bm_ard_3-2-1_52KCU_2021-03-30_final
2021-06-08 11:10:26	ga_s2bm_ard_3-2-1_52LHN_2021-06-08_final
2021-07-05 11:05:17	ga_s2bm_ard_3-2-1_52JEP_2021-07-05_final
2021-07-11 11:22:54	ga_s2bm_ard_3-2-1_51KZU_2021-07-11_final
2021-09-06 11:14:34	ga_s2bm_ard_3-2-1_51JZM_2021-09-06_final
2021-09-09 11:21:28	ga_s2bm_ard_3-2-1_52LDJ_2021-09-09_final
2021-10-16 11:15:47	ga_s2bm_ard_3-2-1_51JXH_2021-10-16_final
2021-10-25 11:41:34	ga_s2bm_ard_3-2-1_51LUE_2021-10-25_final
2021-12-02 11:05:33	ga_s2bm_ard_3-2-1_52JCN_2021-12-02_final
2021-12-15 11:10:37	ga_s2bm_ard_3-2-1_52LGM_2021-12-15_final
2022-01-09 12:03:37	ga_s2bm_ard_3-2-1_50KLB_2022-01-09_final
2022-03-15 11:13:31	ga_s2bm_ard_3-2-1_52KDA_2022-03-15_final
2022-07-10 11:04:08	ga_s2bm_ard_3-2-1_52KEU_2022-07-10_final
2022-08-20 10:36:26	ga_s2bm_ard_3-2-1_53HMD_2022-08-20_final
2022-08-28 11:34:29	ga_s2bm_ard_3-2-1_51JVN_2022-08-28_final
2022-10-31 11:11:49	ga_s2bm_ard_3-2-1_52KGG_2022-10-31_final.stac-item
2022-12-06 11:33:45	ga_s2bm_ard_3-2-1_51KUR_2022-12-06_final.stac-item
2022-12-17 11:04:54	ga_s2bm_ard_3-2-1_52JCR_2022-12-17_final.stac-item
2022-12-25 12:04:12	ga_s2bm_ard_3-2-1_50KKV_2022-12-25_final.stac-item
2023-01-18 11:42:06	ga_s2bm_ard_3-2-1_51KWB_2023-01-18_final.stac-item
2023-01-31 11:53:08	ga_s2bm_ard_3-2-1_50KRC_2023-01-31_final.stac-item
2023-02-01 11:22:34	ga_s2bm_ard_3-2-1_52KBE_2023-02-01_final.stac-item
2023-02-20 11:57:22	ga_s2bm_ard_3-2-1_50HLG_2023-02-20_final.stac-item
2023-03-03 11:22:00	ga_s2bm_ard_3-2-1_51LYC_2023-03-03_final.stac-item
2023-04-08 11:42:16	ga_s2bm_ard_3-2-1_51KVB_2023-04-08_final.stac-item
2023-05-02 11:23:56	ga_s2bm_ard_3-2-1_51KYQ_2023-05-02_final.stac-item
2023-05-08 11:43:21	ga_s2bm_ard_3-2-1_51KTT_2023-05-08_final.stac-item
2023-06-05 11:03:53	ga_s2bm_ard_3-2-1_52KEV_2023-06-05_final.stac-item
2023-06-10 11:52:25	ga_s2bm_ard_3-2-1_50KQG_2023-06-10_final.stac-item
2023-06-17 11:42:00	ga_s2bm_ard_3-2-1_51LWC_2023-06-17_final.stac-item
2023-06-26 12:14:31	ga_s2bm_ard_3-2-1_49KGP_2023-06-26_final.stac-item
2023-07-14 11:34:22	ga_s2bm_ard_3-2-1_51KUP_2023-07-14_final.stac-item
2023-08-13 11:34:23	ga_s2bm_ard_3-2-1_51KUP_2023-08-13_final.stac-item
2023-09-02 11:34:22	ga_s2bm_ard_3-2-1_51KUP_2023-09-02_final.stac-item
2023-10-23 11:03:18	ga_s2bm_ard_3-2-1_52KFB_2023-10-23_final.stac-item
2023-11-27 11:55:56	ga_s2bm_ard_3-2-1_50JKN_2023-11-27_final.stac-item
2023-12-15 11:13:53	ga_s2bm_ard_3-2-1_51KZQ_2023-12-15_final.stac-item
2024-01-03 11:43:04	ga_s2bm_ard_3-2-1_51KTU_2024-01-03_final.stac-item
2024-01-04 11:13:30	ga_s2bm_ard_3-2-1_52KEA_2024-01-04_final.stac-item
2024-02-23 11:12:32	ga_s2bm_ard_3-2-1_52KEE_2024-02-23_final.stac-item
2024-02-26 11:23:49	ga_s2bm_ard_3-2-1_51KZQ_2024-02-26_final.stac-item
2024-05-23 11:13:00	ga_s2bm_ard_3-2-1_52KEC_2024-05-23_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