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
2017-07-06 11:02:11	ga_s2bm_ard_3-2-1_52KEA_2017-07-06_final
2017-08-18 11:10:34	ga_s2bm_ard_3-2-1_52LFM_2017-08-18_final.stac-item
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_49JGL_2017-09-02_final
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_50KKB_2017-10-12_final
2017-10-13 11:30:03	ga_s2bm_ard_3-2-1_51KWQ_2017-10-13_final
2017-10-24 11:02:45	ga_s2bm_ard_3-2-1_52JGT_2017-10-24_final
2017-11-22 11:35:56	ga_s2bm_ard_3-2-1_51HUD_2017-11-22_final
2017-12-09 11:16:47	ga_s2bm_ard_3-2-1_51JWG_2017-12-09_final
2018-02-01 10:57:09	ga_s2bm_ard_3-2-1_52KED_2018-02-01_final
2018-02-21 11:02:40	ga_s2bm_ard_3-2-1_52KFA_2018-02-21_final
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_51HUC_2018-03-22_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_51KTU_2018-04-04_final
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_51KVB_2018-09-11_final
2018-09-20 12:13:54	ga_s2bm_ard_3-2-1_49JGL_2018-09-20_final
2018-10-13 10:41:44	ga_s2bm_ard_3-2-1_53HLE_2018-10-13_final
2018-10-21 11:38:40	ga_s2bm_ard_3-2-1_51KVU_2018-10-21_final
2018-10-25 11:23:58	ga_s2bm_ard_3-2-1_51JXM_2018-10-25_final
2018-11-04 11:19:36	ga_s2bm_ard_3-2-1_51KXT_2018-11-04_final
2018-11-14 11:22:58	ga_s2bm_ard_3-2-1_51KXU_2018-11-14_final
2018-12-11 11:12:58	ga_s2bm_ard_3-2-1_52KDC_2018-12-11_final
2018-12-20 11:42:55	ga_s2bm_ard_3-2-1_51KUU_2018-12-20_final
2018-12-20 11:43:53	ga_s2bm_ard_3-2-1_51KUQ_2018-12-20_final
2019-01-03 11:22:58	ga_s2bm_ard_3-2-1_51KXU_2019-01-03_final
2019-03-04 11:23:47	ga_s2bm_ard_3-2-1_52KBV_2019-03-04_final
2019-03-30 11:42:44	ga_s2bm_ard_3-2-1_51KVV_2019-03-30_final
2019-04-25 12:04:20	ga_s2bm_ard_3-2-1_50KKV_2019-04-25_final
2019-04-30 11:10:32	ga_s2bm_ard_3-2-1_52LHN_2019-04-30_final
2019-05-13 11:23:54	ga_s2bm_ard_3-2-1_51KYR_2019-05-13_final
2019-05-15 12:04:36	ga_s2bm_ard_3-2-1_50KKU_2019-05-15_final
2019-07-29 11:10:51	ga_s2bm_ard_3-2-1_52LGM_2019-07-29_final
2019-08-11 11:26:47	ga_s2bm_ard_3-2-1_51HWD_2019-08-11_final
2019-10-17 11:10:38	ga_s2bm_ard_3-2-1_52LHM_2019-10-17_final
2019-11-09 11:24:04	ga_s2bm_ard_3-2-1_52KBU_2019-11-09_final
2019-11-22 11:34:08	ga_s2bm_ard_3-2-1_51KWP_2019-11-22_final
2019-11-25 11:42:42	ga_s2bm_ard_3-2-1_51KUV_2019-11-25_final
2019-12-13 11:02:49	ga_s2bm_ard_3-2-1_52KHC_2019-12-13_final
2019-12-26 11:15:52	ga_s2bm_ard_3-2-1_51JXG_2019-12-26_final
2020-01-01 11:34:20	ga_s2bm_ard_3-2-1_51JWN_2020-01-01_final
2020-01-01 11:34:24	ga_s2bm_ard_3-2-1_51JVN_2020-01-01_final
2020-02-03 11:45:54	ga_s2bm_ard_3-2-1_50JQM_2020-02-03_final
2020-02-07 11:26:41	ga_s2bm_ard_3-2-1_51HUD_2020-02-07_final
2020-03-05 11:14:21	ga_s2bm_ard_3-2-1_52JBT_2020-03-05_final
2020-03-25 11:10:55	ga_s2bm_ard_3-2-1_52LGL_2020-03-25_final
2020-05-11 11:04:34	ga_s2bm_ard_3-2-1_52JGR_2020-05-11_final
2020-06-14 10:45:49	ga_s2bm_ard_3-2-1_52JGM_2020-06-14_final
2020-06-22 11:42:16	ga_s2bm_ard_3-2-1_51KVB_2020-06-22_final
2020-09-14 11:23:41	ga_s2bm_ard_3-2-1_51KYR_2020-09-14_final
2020-09-30 11:43:00	ga_s2bm_ard_3-2-1_51KVU_2020-09-30_final
2020-10-17 11:35:37	ga_s2bm_ard_3-2-1_51JTJ_2020-10-17_final
2020-11-03 11:25:01	ga_s2bm_ard_3-2-1_51JWL_2020-11-03_final
2020-11-16 11:32:30	ga_s2bm_ard_3-2-1_51KWA_2020-11-16_final
2020-11-19 11:41:59	ga_s2bm_ard_3-2-1_51LVC_2020-11-19_final
2020-11-20 11:10:25	ga_s2bm_ard_3-2-1_52LHN_2020-11-20_final
2020-11-30 11:14:08	ga_s2bm_ard_3-2-1_51KZP_2020-11-30_final
2020-12-23 11:21:29	ga_s2bm_ard_3-2-1_52LDJ_2020-12-23_final
2021-01-09 11:10:42	ga_s2bm_ard_3-2-1_52LGM_2021-01-09_final
2021-02-18 11:10:35	ga_s2bm_ard_3-2-1_52LHM_2021-02-18_final
2021-03-04 10:53:56	ga_s2bm_ard_3-2-1_52KHU_2021-03-04_final
2021-04-02 11:23:26	ga_s2bm_ard_3-2-1_51KXS_2021-04-02_final
2021-05-05 11:31:54	ga_s2bm_ard_3-2-1_51LXC_2021-05-05_final
2021-05-20 10:46:09	ga_s2bm_ard_3-2-1_53HLE_2021-05-20_final
2021-05-22 11:25:53	ga_s2bm_ard_3-2-1_51JXG_2021-05-22_final
2021-06-04 11:34:04	ga_s2bm_ard_3-2-1_51KUQ_2021-06-04_final
2021-06-08 11:14:18	ga_s2bm_ard_3-2-1_52JDT_2021-06-08_final
2021-07-01 11:23:58	ga_s2bm_ard_3-2-1_51KXQ_2021-07-01_final
2021-09-12 11:36:13	ga_s2bm_ard_3-2-1_51JTF_2021-09-12_final
2021-09-12 11:36:54	ga_s2bm_ard_3-2-1_51HUC_2021-09-12_final
2021-10-25 11:42:00	ga_s2bm_ard_3-2-1_51LWC_2021-10-25_final
2022-01-04 11:10:28	ga_s2bm_ard_3-2-1_52LFN_2022-01-04_final.stac-item
2022-01-14 11:13:29	ga_s2bm_ard_3-2-1_52KDA_2022-01-14_final
2022-04-27 11:23:47	ga_s2bm_ard_3-2-1_51KYQ_2022-04-27_final
2022-05-31 11:02:29	ga_s2bm_ard_3-2-1_52KGE_2022-05-31_final
2022-09-08 11:05:32	ga_s2bm_ard_3-2-1_52JEN_2022-09-08_final.stac-item
2022-10-08 11:03:46	ga_s2bm_ard_3-2-1_52KEV_2022-10-08_final.stac-item
2022-10-10 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2022-10-10_final.stac-item
2022-11-20 11:13:44	ga_s2bm_ard_3-2-1_52KEV_2022-11-20_final.stac-item
2023-01-26 11:00:57	ga_s2bm_ard_3-2-1_52LHL_2023-01-26_final.stac-item
2023-01-26 11:03:14	ga_s2bm_ard_3-2-1_52KFB_2023-01-26_final.stac-item
2023-02-01 11:21:23	ga_s2bm_ard_3-2-1_52LCK_2023-02-01_final.stac-item
2023-02-03 12:04:25	ga_s2bm_ard_3-2-1_50KKU_2023-02-03_final.stac-item
2023-02-21 11:24:08	ga_s2bm_ard_3-2-1_51KYP_2023-02-21_final.stac-item
2023-02-21 11:25:12	ga_s2bm_ard_3-2-1_51JWK_2023-02-21_final.stac-item
2023-04-12 11:24:13	ga_s2bm_ard_3-2-1_51KXP_2023-04-12_final.stac-item
2023-04-19 11:14:37	ga_s2bm_ard_3-2-1_52JCS_2023-04-19_final.stac-item
2023-05-15 11:33:52	ga_s2bm_ard_3-2-1_51KUR_2023-05-15_final.stac-item
2023-05-23 10:55:22	ga_s2bm_ard_3-2-1_52JFP_2023-05-23_final.stac-item
2023-05-29 11:10:29	ga_s2bm_ard_3-2-1_52LHN_2023-05-29_final.stac-item
2023-06-14 11:36:48	ga_s2bm_ard_3-2-1_51HUD_2023-06-14_final.stac-item
2023-07-23 12:03:47	ga_s2bm_ard_3-2-1_50KLB_2023-07-23_final.stac-item
2023-07-24 11:37:13	ga_s2bm_ard_3-2-1_50HPH_2023-07-24_final.stac-item
2023-08-13 11:32:46	ga_s2bm_ard_3-2-1_51KXV_2023-08-13_final.stac-item
2023-10-12 11:36:48	ga_s2bm_ard_3-2-1_51HTD_2023-10-12_final.stac-item
2023-12-18 11:22:52	ga_s2bm_ard_3-2-1_51KZU_2023-12-18_final.stac-item
2023-12-21 11:34:44	ga_s2bm_ard_3-2-1_51JVM_2023-12-21_final.stac-item
2024-01-14 11:13:06	ga_s2bm_ard_3-2-1_52KCC_2024-01-14_final.stac-item
2024-01-24 11:15:32	ga_s2bm_ard_3-2-1_52JCN_2024-01-24_final.stac-item
2024-02-16 11:22:53	ga_s2bm_ard_3-2-1_51KZU_2024-02-16_final.stac-item
2024-02-19 11:36:58	ga_s2bm_ard_3-2-1_51HUC_2024-02-19_final.stac-item
2024-03-20 11:37:06	ga_s2bm_ard_3-2-1_50HPH_2024-03-20_final.stac-item
2024-03-24 11:12:03	ga_s2bm_ard_3-2-1_52KEG_2024-03-24_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