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
2017-08-14 11:34:56	ga_s2bm_ard_3-2-1_50JQL_2017-08-14_final
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_50JPR_2017-12-05_final
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51JWK_2017-12-29_final
2018-01-22 10:57:08	ga_s2bm_ard_3-2-1_52KGG_2018-01-22_final
2018-02-14 11:07:05	ga_s2bm_ard_3-2-1_51HXD_2018-02-14_final
2018-02-24 11:07:04	ga_s2bm_ard_3-2-1_52LGJ_2018-02-24_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_51KUT_2018-03-05_final
2018-03-09 11:21:24	ga_s2bm_ard_3-2-1_52KBV_2018-03-09_final
2018-05-02 11:00:12	ga_s2bm_ard_3-2-1_52JCP_2018-05-02_final
2018-08-19 11:32:18	ga_s2bm_ard_3-2-1_51KXT_2018-08-19_final
2018-11-03 11:54:10	ga_s2bm_ard_3-2-1_50JKP_2018-11-03_final
2018-11-18 11:02:37	ga_s2bm_ard_3-2-1_52KHD_2018-11-18_final
2018-12-11 11:14:23	ga_s2bm_ard_3-2-1_51JYN_2018-12-11_final
2019-01-06 11:32:24	ga_s2bm_ard_3-2-1_51KXA_2019-01-06_final
2019-01-06 11:32:27	ga_s2bm_ard_3-2-1_51KWA_2019-01-06_final
2019-01-17 11:05:01	ga_s2bm_ard_3-2-1_52JEQ_2019-01-17_final
2019-01-23 11:26:30	ga_s2bm_ard_3-2-1_51HUE_2019-01-23_final
2019-03-03 11:54:35	ga_s2bm_ard_3-2-1_50JNT_2019-03-03_final
2019-07-17 10:36:19	ga_s2bm_ard_3-2-1_53HME_2019-07-17_final
2019-07-19 11:13:27	ga_s2bm_ard_3-2-1_52KDB_2019-07-19_final
2019-12-13 11:04:12	ga_s2bm_ard_3-2-1_52JET_2019-12-13_final
2020-01-08 11:24:10	ga_s2bm_ard_3-2-1_51KWP_2020-01-08_final
2020-01-18 11:23:07	ga_s2bm_ard_3-2-1_51KXT_2020-01-18_final
2020-01-22 11:02:23	ga_s2bm_ard_3-2-1_52KGE_2020-01-22_final
2020-02-07 11:23:56	ga_s2bm_ard_3-2-1_51KWQ_2020-02-07_final
2020-02-27 11:21:44	ga_s2bm_ard_3-2-1_52LDH_2020-02-27_final
2020-02-29 12:03:17	ga_s2bm_ard_3-2-1_50KNC_2020-02-29_final
2020-04-19 12:05:47	ga_s2bm_ard_3-2-1_50JLN_2020-04-19_final
2020-05-20 11:32:37	ga_s2bm_ard_3-2-1_51KYV_2020-05-20_final
2020-05-31 11:03:24	ga_s2bm_ard_3-2-1_52KHA_2020-05-31_final
2020-07-19 11:36:44	ga_s2bm_ard_3-2-1_51HUD_2020-07-19_final
2020-09-27 11:37:00	ga_s2bm_ard_3-2-1_51HUC_2020-09-27_final
2020-11-02 11:56:54	ga_s2bm_ard_3-2-1_50HMJ_2020-11-02_final
2020-12-09 11:42:54	ga_s2bm_ard_3-2-1_51KVU_2020-12-09_final
2021-01-06 11:02:57	ga_s2bm_ard_3-2-1_52KGC_2021-01-06_final
2021-01-24 12:05:08	ga_s2bm_ard_3-2-1_50JLR_2021-01-24_final
2021-01-28 11:43:11	ga_s2bm_ard_3-2-1_51KVT_2021-01-28_final
2021-02-08 11:15:28	ga_s2bm_ard_3-2-1_51JXJ_2021-02-08_final
2021-05-04 12:04:28	ga_s2bm_ard_3-2-1_49KGP_2021-05-04_final
2021-06-04 11:32:48	ga_s2bm_ard_3-2-1_51KWV_2021-06-04_final
2021-06-16 10:36:29	ga_s2bm_ard_3-2-1_53HLD_2021-06-16_final
2021-06-16 12:15:21	ga_s2bm_ard_3-2-1_49JGK_2021-06-16_final
2021-06-21 11:24:15	ga_s2bm_ard_3-2-1_51KWP_2021-06-21_final
2021-06-22 10:53:58	ga_s2bm_ard_3-2-1_52KHU_2021-06-22_final
2021-07-11 11:27:00	ga_s2bm_ard_3-2-1_51HVC_2021-07-11_final
2021-08-04 11:03:50	ga_s2bm_ard_3-2-1_52KEV_2021-08-04_final
2021-08-30 11:23:47	ga_s2bm_ard_3-2-1_52KBV_2021-08-30_final
2021-10-09 11:23:50	ga_s2bm_ard_3-2-1_51KZQ_2021-10-09_final
2021-10-27 10:46:25	ga_s2bm_ard_3-2-1_53HLD_2021-10-27_final
2021-11-18 11:26:45	ga_s2bm_ard_3-2-1_51HUD_2021-11-18_final
2021-12-13 10:36:53	ga_s2bm_ard_3-2-1_53HPA_2021-12-13_final
2022-01-14 11:12:19	ga_s2bm_ard_3-2-1_52KCF_2022-01-14_final
2022-01-21 11:03:47	ga_s2bm_ard_3-2-1_52KFV_2022-01-21_final
2022-02-23 11:16:32	ga_s2bm_ard_3-2-1_51HYD_2022-02-23_final
2022-03-18 11:23:33	ga_s2bm_ard_3-2-1_51KZR_2022-03-18_final
2022-04-12 10:36:32	ga_s2bm_ard_3-2-1_53HNC_2022-04-12_final
2022-04-17 11:22:59	ga_s2bm_ard_3-2-1_52KCC_2022-04-17_final
2022-04-27 11:24:26	ga_s2bm_ard_3-2-1_52JBS_2022-04-27_final
2022-05-30 11:36:46	ga_s2bm_ard_3-2-1_51HTD_2022-05-30_final
2022-05-31 11:03:41	ga_s2bm_ard_3-2-1_52KGV_2022-05-31_final
2022-07-28 12:05:46	ga_s2bm_ard_3-2-1_50JKP_2022-07-28_final
2022-08-10 10:37:02	ga_s2bm_ard_3-2-1_53HPA_2022-08-10_final
2022-09-04 11:27:03	ga_s2bm_ard_3-2-1_51HUC_2022-09-04_final.stac-item
2022-09-08 11:02:20	ga_s2bm_ard_3-2-1_52KFF_2022-09-08_final.stac-item
2022-09-13 13:31:36	ga_s2bm_ard_3-2-1_46LHN_2022-09-13_interim.stac-item
2022-10-01 11:15:50	ga_s2bm_ard_3-2-1_52JBM_2022-10-01_final.stac-item
2022-10-07 11:36:29	ga_s2bm_ard_3-2-1_51HTE_2022-10-07_final.stac-item
2022-11-13 11:26:29	ga_s2bm_ard_3-2-1_51HVE_2022-11-13_final.stac-item
2022-11-25 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2022-11-25_final.stac-item
2022-12-08 12:14:52	ga_s2bm_ard_3-2-1_49JGM_2022-12-08_final.stac-item
2022-12-17 11:01:01	ga_s2bm_ard_3-2-1_52LGL_2022-12-17_final.stac-item
2022-12-17 11:05:58	ga_s2bm_ard_3-2-1_52JEL_2022-12-17_final.stac-item
2023-01-28 11:42:40	ga_s2bm_ard_3-2-1_51KVV_2023-01-28_final.stac-item
2023-01-28 11:43:27	ga_s2bm_ard_3-2-1_51KUS_2023-01-28_final.stac-item
2023-02-12 10:55:44	ga_s2bm_ard_3-2-1_52JFM_2023-02-12_final.stac-item
2023-03-06 11:31:21	ga_s2bm_ard_3-2-1_52LBK_2023-03-06_final.stac-item
2023-03-10 11:16:38	ga_s2bm_ard_3-2-1_52HBJ_2023-03-10_nrt.stac-item
2023-03-26 11:37:03	ga_s2bm_ard_3-2-1_51HTC_2023-03-26_final.stac-item
2023-03-29 11:44:34	ga_s2bm_ard_3-2-1_50JRT_2023-03-29_final.stac-item
2023-04-09 11:12:30	ga_s2bm_ard_3-2-1_52KFE_2023-04-09_final.stac-item
2023-04-09 11:14:11	ga_s2bm_ard_3-2-1_51KZP_2023-04-09_final.stac-item
2023-04-28 11:43:26	ga_s2bm_ard_3-2-1_51KVS_2023-04-28_final.stac-item
2023-05-12 11:24:17	ga_s2bm_ard_3-2-1_51KWP_2023-05-12_final.stac-item
2023-05-25 11:34:34	ga_s2bm_ard_3-2-1_51JVN_2023-05-25_final.stac-item
2023-06-01 11:21:14	ga_s2bm_ard_3-2-1_51LZF_2023-06-01_nrt.stac-item
2023-06-17 11:44:18	ga_s2bm_ard_3-2-1_51KUP_2023-06-17_final.stac-item
2023-06-20 11:54:23	ga_s2bm_ard_3-2-1_50KPU_2023-06-20_final.stac-item
2023-06-21 11:23:17	ga_s2bm_ard_3-2-1_51KXT_2023-06-21_final.stac-item
2023-09-15 11:46:44	ga_s2bm_ard_3-2-1_50HMK_2023-09-15_final.stac-item
2023-10-12 11:37:03	ga_s2bm_ard_3-2-1_51HTC_2023-10-12_final.stac-item
2023-11-08 11:23:52	ga_s2bm_ard_3-2-1_52KBV_2023-11-08_final.stac-item
2023-11-18 11:22:22	ga_s2bm_ard_3-2-1_51KZA_2023-11-18_final.stac-item
2024-01-23 11:42:30	ga_s2bm_ard_3-2-1_51KVA_2024-01-23_final.stac-item
2024-01-27 11:21:09	ga_s2bm_ard_3-2-1_51LZF_2024-01-27_nrt.stac-item
2024-02-13 11:12:18	ga_s2bm_ard_3-2-1_52KEF_2024-02-13_final.stac-item
2024-03-17 11:26:21	ga_s2bm_ard_3-2-1_51HXE_2024-03-17_final.stac-item
2024-03-20 11:31:35	ga_s2bm_ard_3-2-1_51LZD_2024-03-20_final.stac-item
2024-04-23 11:13:25	ga_s2bm_ard_3-2-1_52KBB_2024-04-23_final.stac-item
2024-04-23 11:13:33	ga_s2bm_ard_3-2-1_52KDA_2024-04-23_final.stac-item
2024-04-23 11:15:24	ga_s2bm_ard_3-2-1_51JYJ_2024-04-23_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