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
2017-10-01 10:52:59	ga_s2bm_ard_3-2-1_52JGT_2017-10-01_final
2017-10-14 11:01:57	ga_s2bm_ard_3-2-1_52KEA_2017-10-14_final
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_50HQH_2017-11-12_final
2017-11-13 11:02:45	ga_s2bm_ard_3-2-1_52JFR_2017-11-13_final
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51JZM_2017-12-29_final
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50KPC_2018-01-17_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51JVL_2018-01-31_final
2018-02-01 11:02:52	ga_s2bm_ard_3-2-1_52JDQ_2018-02-01_final
2018-04-25 11:07:11	ga_s2bm_ard_3-2-1_52JCT_2018-04-25_final
2018-05-08 11:16:58	ga_s2bm_ard_3-2-1_51KYS_2018-05-08_final
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50KNU_2018-06-06_final
2018-06-11 10:58:30	ga_s2bm_ard_3-2-1_52KEU_2018-06-11_final
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_50JRT_2018-08-09_final
2018-08-28 12:04:53	ga_s2bm_ard_3-2-1_50JLM_2018-08-28_final
2018-09-05 11:21:46	ga_s2bm_ard_3-2-1_52KBF_2018-09-05_final
2018-10-04 11:52:44	ga_s2bm_ard_3-2-1_50JLL_2018-10-04_final
2018-10-18 11:35:22	ga_s2bm_ard_3-2-1_51HUD_2018-10-18_final
2018-12-04 11:22:36	ga_s2bm_ard_3-2-1_51KYV_2018-12-04_final
2018-12-04 11:26:31	ga_s2bm_ard_3-2-1_51HXD_2018-12-04_final
2019-01-20 11:14:31	ga_s2bm_ard_3-2-1_52JDS_2019-01-20_final
2019-03-26 12:03:42	ga_s2bm_ard_3-2-1_50KLB_2019-03-26_final
2019-05-12 11:54:23	ga_s2bm_ard_3-2-1_50KNU_2019-05-12_final
2019-06-21 11:53:47	ga_s2bm_ard_3-2-1_50KNB_2019-06-21_final
2019-06-21 11:53:58	ga_s2bm_ard_3-2-1_50KPA_2019-06-21_final
2019-07-12 11:25:47	ga_s2bm_ard_3-2-1_51JXH_2019-07-12_final
2019-07-18 11:47:15	ga_s2bm_ard_3-2-1_50HNH_2019-07-18_final
2019-08-14 11:35:40	ga_s2bm_ard_3-2-1_51JTJ_2019-08-14_final
2019-08-14 11:36:02	ga_s2bm_ard_3-2-1_51JVG_2019-08-14_final
2019-11-22 11:33:10	ga_s2bm_ard_3-2-1_51KWT_2019-11-22_final
2019-11-22 11:33:20	ga_s2bm_ard_3-2-1_51KUT_2019-11-22_final
2020-01-08 11:22:32	ga_s2bm_ard_3-2-1_51KZV_2020-01-08_final
2020-02-27 11:26:55	ga_s2bm_ard_3-2-1_51HVC_2020-02-27_final
2020-03-23 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2020-03-23_final
2020-04-16 11:54:35	ga_s2bm_ard_3-2-1_50JPT_2020-04-16_final
2020-05-09 12:03:39	ga_s2bm_ard_3-2-1_50KLB_2020-05-09_final
2020-05-14 11:13:13	ga_s2bm_ard_3-2-1_52KBC_2020-05-14_final
2020-06-22 11:46:40	ga_s2bm_ard_3-2-1_50HNK_2020-06-22_final
2020-07-08 12:04:44	ga_s2bm_ard_3-2-1_49JHN_2020-07-08_final
2020-09-07 11:36:02	ga_s2bm_ard_3-2-1_51JUG_2020-09-07_final
2020-09-16 12:03:28	ga_s2bm_ard_3-2-1_50KLC_2020-09-16_final
2020-09-19 12:13:56	ga_s2bm_ard_3-2-1_50KKA_2020-09-19_final
2020-10-05 10:56:04	ga_s2bm_ard_3-2-1_52JFL_2020-10-05_final
2020-10-20 11:46:52	ga_s2bm_ard_3-2-1_50HPJ_2020-10-20_final
2020-10-25 10:56:03	ga_s2bm_ard_3-2-1_52JFL_2020-10-25_final
2020-11-04 10:55:33	ga_s2bm_ard_3-2-1_52JFN_2020-11-04_final
2020-11-04 10:56:02	ga_s2bm_ard_3-2-1_52JFL_2020-11-04_final
2020-11-23 11:23:43	ga_s2bm_ard_3-2-1_51KXR_2020-11-23_final
2021-02-03 12:04:27	ga_s2bm_ard_3-2-1_49KHP_2021-02-03_final
2021-02-24 11:31:19	ga_s2bm_ard_3-2-1_51LZE_2021-02-24_final
2021-06-10 11:54:12	ga_s2bm_ard_3-2-1_50KMV_2021-06-10_final
2021-06-14 11:31:54	ga_s2bm_ard_3-2-1_51LYC_2021-06-14_final
2021-07-21 11:26:49	ga_s2bm_ard_3-2-1_51HUD_2021-07-21_final
2021-08-09 11:54:20	ga_s2bm_ard_3-2-1_50KPU_2021-08-09_final
2021-09-29 11:26:57	ga_s2bm_ard_3-2-1_51HVC_2021-09-29_final
2021-10-29 11:26:19	ga_s2bm_ard_3-2-1_51JUF_2021-10-29_final
2021-11-21 11:32:59	ga_s2bm_ard_3-2-1_51KYT_2021-11-21_final
2021-12-01 11:33:48	ga_s2bm_ard_3-2-1_51KXQ_2021-12-01_final
2021-12-11 11:33:47	ga_s2bm_ard_3-2-1_51KXQ_2021-12-11_final
2022-01-27 11:23:04	ga_s2bm_ard_3-2-1_51KYT_2022-01-27_final
2022-01-31 11:02:42	ga_s2bm_ard_3-2-1_52KFD_2022-01-31_final
2022-02-02 11:42:36	ga_s2bm_ard_3-2-1_51KVV_2022-02-02_final
2022-03-01 11:32:01	ga_s2bm_ard_3-2-1_51KYB_2022-03-01_final
2022-03-01 11:33:38	ga_s2bm_ard_3-2-1_51KWR_2022-03-01_final
2022-04-23 11:42:51	ga_s2bm_ard_3-2-1_51KVU_2022-04-23_final
2022-05-17 11:24:14	ga_s2bm_ard_3-2-1_51KWP_2022-05-17_final
2022-06-08 12:03:25	ga_s2bm_ard_3-2-1_50KMC_2022-06-08_final
2022-06-12 11:44:33	ga_s2bm_ard_3-2-1_50JRT_2022-06-12_final
2022-06-15 11:56:40	ga_s2bm_ard_3-2-1_50HMK_2022-06-15_final
2022-07-05 11:56:45	ga_s2bm_ard_3-2-1_50HLK_2022-07-05_final
2022-08-12 11:16:40	ga_s2bm_ard_3-2-1_51HYD_2022-08-12_final
2022-08-31 11:43:30	ga_s2bm_ard_3-2-1_51KUS_2022-08-31_final
2022-09-04 11:25:11	ga_s2bm_ard_3-2-1_51JXK_2022-09-04_final.stac-item
2022-09-25 10:54:27	ga_s2bm_ard_3-2-1_52JHS_2022-09-25_final.stac-item
2022-09-30 11:41:58	ga_s2bm_ard_3-2-1_51LVC_2022-09-30_final.stac-item
2022-10-10 11:45:09	ga_s2bm_ard_3-2-1_50JNR_2022-10-10_final.stac-item
2022-10-25 10:55:59	ga_s2bm_ard_3-2-1_52JFL_2022-10-25_final.stac-item
2022-11-23 11:22:08	ga_s2bm_ard_3-2-1_51KZB_2022-11-23_final.stac-item
2022-11-27 11:02:42	ga_s2bm_ard_3-2-1_52KFD_2022-11-27_final.stac-item
2023-01-06 11:04:01	ga_s2bm_ard_3-2-1_52KEU_2023-01-06_final.stac-item
2023-01-18 11:42:19	ga_s2bm_ard_3-2-1_51KWA_2023-01-18_final.stac-item
2023-01-29 11:14:35	ga_s2bm_ard_3-2-1_51JZM_2023-01-29_final.stac-item
2023-02-14 11:33:43	ga_s2bm_ard_3-2-1_51KVR_2023-02-14_final.stac-item
2023-03-29 11:42:16	ga_s2bm_ard_3-2-1_51KVB_2023-03-29_final.stac-item
2023-05-11 11:57:15	ga_s2bm_ard_3-2-1_50HKH_2023-05-11_nrt.stac-item
2023-05-12 11:23:27	ga_s2bm_ard_3-2-1_51KYS_2023-05-12_final.stac-item
2023-06-07 11:45:08	ga_s2bm_ard_3-2-1_50JQR_2023-06-07_final.stac-item
2023-06-28 11:12:51	ga_s2bm_ard_3-2-1_52KED_2023-06-28_final.stac-item
2023-07-21 11:23:34	ga_s2bm_ard_3-2-1_51KXS_2023-07-21_final.stac-item
2023-08-12 12:06:15	ga_s2bm_ard_3-2-1_50JKM_2023-08-12_final.stac-item
2023-08-16 11:43:09	ga_s2bm_ard_3-2-1_50KRD_2023-08-16_final.stac-item
2023-08-19 11:57:21	ga_s2bm_ard_3-2-1_49HGC_2023-08-19_nrt.stac-item
2023-08-27 11:16:39	ga_s2bm_ard_3-2-1_52HBJ_2023-08-27_nrt.stac-item
2023-09-02 11:36:53	ga_s2bm_ard_3-2-1_50HQJ_2023-09-02_final.stac-item
2023-10-02 11:37:04	ga_s2bm_ard_3-2-1_50HQH_2023-10-02_final.stac-item
2023-11-04 11:45:24	ga_s2bm_ard_3-2-1_50JPQ_2023-11-04_final.stac-item
2023-12-18 11:26:40	ga_s2bm_ard_3-2-1_51HWD_2023-12-18_final.stac-item
2024-02-06 11:22:37	ga_s2bm_ard_3-2-1_51KZV_2024-02-06_final.stac-item
2024-03-04 11:13:22	ga_s2bm_ard_3-2-1_52KBB_2024-03-04_final.stac-item
2024-03-10 11:35:51	ga_s2bm_ard_3-2-1_51JVG_2024-03-10_final.stac-item
2024-03-13 11:44:40	ga_s2bm_ard_3-2-1_50JRS_2024-03-13_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