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
2017-10-07 11:11:46	ga_s2bm_ard_3-2-1_52KFD_2017-10-07_final
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_51HUE_2017-11-19_final
2018-06-01 11:03:31	ga_s2bm_ard_3-2-1_52JEL_2018-06-01_final
2018-06-28 10:54:55	ga_s2bm_ard_3-2-1_52JEM_2018-06-28_final
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_51LUF_2018-07-13_final
2018-07-20 11:32:26	ga_s2bm_ard_3-2-1_51KXT_2018-07-20_final
2018-07-26 11:52:57	ga_s2bm_ard_3-2-1_50JKN_2018-07-26_final
2018-10-18 11:35:22	ga_s2bm_ard_3-2-1_50HQH_2018-10-18_final
2018-10-21 11:45:13	ga_s2bm_ard_3-2-1_50HMK_2018-10-21_final
2018-12-31 11:13:27	ga_s2bm_ard_3-2-1_52KEA_2018-12-31_final
2019-01-05 12:05:10	ga_s2bm_ard_3-2-1_50JKR_2019-01-05_final
2019-01-26 11:31:53	ga_s2bm_ard_3-2-1_51LYC_2019-01-26_final
2019-03-17 11:33:43	ga_s2bm_ard_3-2-1_51KVR_2019-03-17_final
2019-04-26 11:36:21	ga_s2bm_ard_3-2-1_51JUF_2019-04-26_final
2019-05-25 12:03:53	ga_s2bm_ard_3-2-1_50KKB_2019-05-25_final
2019-05-25 12:06:18	ga_s2bm_ard_3-2-1_50JKM_2019-05-25_final
2019-06-02 11:23:15	ga_s2bm_ard_3-2-1_51KZT_2019-06-02_final
2019-06-09 11:15:15	ga_s2bm_ard_3-2-1_52JBQ_2019-06-09_final
2019-06-11 11:55:48	ga_s2bm_ard_3-2-1_50JKP_2019-06-11_final
2019-06-12 11:23:28	ga_s2bm_ard_3-2-1_51KZS_2019-06-12_final
2019-10-20 11:25:54	ga_s2bm_ard_3-2-1_51JXG_2019-10-20_final
2019-12-16 11:15:53	ga_s2bm_ard_3-2-1_52JCL_2019-12-16_final
2020-01-04 11:41:54	ga_s2bm_ard_3-2-1_51LVC_2020-01-04_final
2020-01-04 11:42:37	ga_s2bm_ard_3-2-1_51KVV_2020-01-04_final
2020-01-08 11:22:50	ga_s2bm_ard_3-2-1_51KYU_2020-01-08_final
2020-01-18 11:24:38	ga_s2bm_ard_3-2-1_52JBR_2020-01-18_final
2020-01-21 11:31:32	ga_s2bm_ard_3-2-1_51LYD_2020-01-21_final
2020-02-09 12:03:28	ga_s2bm_ard_3-2-1_50KNB_2020-02-09_final
2020-04-20 11:34:00	ga_s2bm_ard_3-2-1_51KXP_2020-04-20_final
2020-04-27 11:23:01	ga_s2bm_ard_3-2-1_52KBC_2020-04-27_final
2020-05-11 11:03:08	ga_s2bm_ard_3-2-1_52KHB_2020-05-11_final
2020-06-03 11:13:56	ga_s2bm_ard_3-2-1_51KZQ_2020-06-03_final
2020-06-12 11:47:05	ga_s2bm_ard_3-2-1_50HPH_2020-06-12_final
2020-07-03 11:13:14	ga_s2bm_ard_3-2-1_52KDC_2020-07-03_final
2020-08-11 11:46:55	ga_s2bm_ard_3-2-1_50HNJ_2020-08-11_final
2020-08-18 11:33:12	ga_s2bm_ard_3-2-1_51KXT_2020-08-18_final
2020-12-24 10:53:29	ga_s2bm_ard_3-2-1_52KGA_2020-12-24_final
2021-01-02 11:26:46	ga_s2bm_ard_3-2-1_51HUD_2021-01-02_final
2021-01-30 10:46:00	ga_s2bm_ard_3-2-1_52JGL_2021-01-30_final
2021-02-01 11:25:42	ga_s2bm_ard_3-2-1_51JWH_2021-02-01_final
2021-02-05 11:03:34	ga_s2bm_ard_3-2-1_52KEA_2021-02-05_final
2021-02-12 10:55:26	ga_s2bm_ard_3-2-1_52JGN_2021-02-12_final
2021-02-14 11:34:35	ga_s2bm_ard_3-2-1_50JRT_2021-02-14_final
2021-02-17 11:42:25	ga_s2bm_ard_3-2-1_51KVA_2021-02-17_final
2021-03-20 11:12:52	ga_s2bm_ard_3-2-1_52KCD_2021-03-20_final
2021-06-18 11:13:41	ga_s2bm_ard_3-2-1_51KZR_2021-06-18_final
2021-06-21 11:24:09	ga_s2bm_ard_3-2-1_51KYP_2021-06-21_final
2021-07-10 11:56:16	ga_s2bm_ard_3-2-1_50JKM_2021-07-10_final
2021-07-13 12:05:39	ga_s2bm_ard_3-2-1_50JLP_2021-07-13_final
2021-07-20 11:56:20	ga_s2bm_ard_3-2-1_50JNL_2021-07-20_final
2021-08-03 11:32:34	ga_s2bm_ard_3-2-1_51KVA_2021-08-03_final
2021-08-16 11:44:31	ga_s2bm_ard_3-2-1_50JRT_2021-08-16_final
2021-09-25 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2021-09-25_final
2021-11-01 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2021-11-01_final
2021-11-02 11:04:44	ga_s2bm_ard_3-2-1_52JFR_2021-11-02_final
2021-11-24 11:43:21	ga_s2bm_ard_3-2-1_51KVS_2021-11-24_final
2022-01-28 10:55:39	ga_s2bm_ard_3-2-1_52JFM_2022-01-28_final
2022-03-20 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2022-03-20_final
2022-03-27 11:56:01	ga_s2bm_ard_3-2-1_50JNM_2022-03-27_final
2022-04-30 11:33:59	ga_s2bm_ard_3-2-1_51KXP_2022-04-30_final
2022-05-01 11:04:16	ga_s2bm_ard_3-2-1_52JDT_2022-05-01_final
2022-05-14 11:14:07	ga_s2bm_ard_3-2-1_52KBU_2022-05-14_final
2022-06-26 11:21:55	ga_s2bm_ard_3-2-1_52LCH_2022-06-26_final
2022-07-12 11:43:16	ga_s2bm_ard_3-2-1_51KVT_2022-07-12_final
2022-07-29 11:36:24	ga_s2bm_ard_3-2-1_50JQL_2022-07-29_final
2022-08-01 11:44:50	ga_s2bm_ard_3-2-1_50JRS_2022-08-01_final
2022-08-17 12:04:42	ga_s2bm_ard_3-2-1_50JKT_2022-08-17_final
2022-08-22 11:15:34	ga_s2bm_ard_3-2-1_52JCN_2022-08-22_final
2022-10-06 12:06:07	ga_s2bm_ard_3-2-1_50JKM_2022-10-06_final.stac-item
2022-11-07 11:03:18	ga_s2bm_ard_3-2-1_52KEB_2022-11-07_final.stac-item
2022-11-16 11:33:27	ga_s2bm_ard_3-2-1_51KWS_2022-11-16_final.stac-item
2022-11-17 11:03:34	ga_s2bm_ard_3-2-1_52KEA_2022-11-17_final.stac-item
2022-11-18 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2022-11-18_final.stac-item
2022-12-05 12:06:07	ga_s2bm_ard_3-2-1_50JKM_2022-12-05_final.stac-item
2023-01-05 11:31:33	ga_s2bm_ard_3-2-1_51LZD_2023-01-05_final.stac-item
2023-01-06 11:02:42	ga_s2bm_ard_3-2-1_52KGD_2023-01-06_final.stac-item
2023-02-25 11:04:29	ga_s2bm_ard_3-2-1_52JFS_2023-02-25_final.stac-item
2023-03-23 11:25:48	ga_s2bm_ard_3-2-1_51JVH_2023-03-23_final.stac-item
2023-04-09 12:51:02	ga_s2bm_ard_3-2-1_48LWP_2023-04-09_final.stac-item
2023-04-11 11:57:16	ga_s2bm_ard_3-2-1_49HGC_2023-04-11_nrt.stac-item
2023-06-11 11:23:15	ga_s2bm_ard_3-2-1_51KYT_2023-06-11_final.stac-item
2023-06-27 11:43:23	ga_s2bm_ard_3-2-1_51KTT_2023-06-27_final.stac-item
2023-07-08 11:13:39	ga_s2bm_ard_3-2-1_52KDA_2023-07-08_final.stac-item
2023-07-14 11:36:36	ga_s2bm_ard_3-2-1_51HTE_2023-07-14_final.stac-item
2023-08-02 12:06:00	ga_s2bm_ard_3-2-1_50JKN_2023-08-02_final.stac-item
2023-08-17 11:13:59	ga_s2bm_ard_3-2-1_51KZQ_2023-08-17_final.stac-item
2023-09-05 11:47:11	ga_s2bm_ard_3-2-1_50HNH_2023-09-05_final.stac-item
2023-12-07 11:57:09	ga_s2bm_ard_3-2-1_50HKH_2023-12-07_nrt.stac-item
2023-12-09 10:54:41	ga_s2bm_ard_3-2-1_52JGR_2023-12-09_final.stac-item
2024-01-23 11:42:45	ga_s2bm_ard_3-2-1_51KUV_2024-01-23_final.stac-item
2024-01-27 11:22:07	ga_s2bm_ard_3-2-1_51KZB_2024-01-27_final.stac-item
2024-02-15 11:57:16	ga_s2bm_ard_3-2-1_49HGC_2024-02-15_nrt.stac-item
2024-03-04 11:14:17	ga_s2bm_ard_3-2-1_52JCT_2024-03-04_final.stac-item
2024-03-08 10:53:40	ga_s2bm_ard_3-2-1_52KGV_2024-03-08_final.stac-item
2024-03-10 11:35:15	ga_s2bm_ard_3-2-1_51JWJ_2024-03-10_final.stac-item
2024-03-13 11:44:37	ga_s2bm_ard_3-2-1_51JUM_2024-03-13_final.stac-item
2024-04-03 11:16:39	ga_s2bm_ard_3-2-1_51HXD_2024-04-03_final.stac-item
2024-04-09 11:33:59	ga_s2bm_ard_3-2-1_51KVQ_2024-04-09_final.stac-item
2024-04-26 11:22:59	ga_s2bm_ard_3-2-1_51KXU_2024-04-26_final.stac-item
2024-05-06 11:26:41	ga_s2bm_ard_3-2-1_51HWD_2024-05-06_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