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
2017-08-21 11:24:49	ga_s2bm_ard_3-2-1_51JVH_2017-08-21_final
2017-09-10 11:21:50	ga_s2bm_ard_3-2-1_51JVL_2017-09-10_final
2017-09-17 11:11:51	ga_s2bm_ard_3-2-1_51HYD_2017-09-17_final
2017-11-29 11:25:05	ga_s2bm_ard_3-2-1_51HUD_2017-11-29_final
2017-12-19 11:25:05	ga_s2bm_ard_3-2-1_51JWG_2017-12-19_final
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_51KTS_2017-12-25_final
2018-01-21 11:30:33	ga_s2bm_ard_3-2-1_51KYT_2018-01-21_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51KWP_2018-01-31_final
2018-02-01 11:02:52	ga_s2bm_ard_3-2-1_52HBK_2018-02-01_final
2018-02-24 11:11:53	ga_s2bm_ard_3-2-1_52JBN_2018-02-24_final
2018-04-25 11:07:11	ga_s2bm_ard_3-2-1_51KZR_2018-04-25_final
2018-06-23 11:37:58	ga_s2bm_ard_3-2-1_51KUV_2018-06-23_final
2018-09-01 11:35:18	ga_s2bm_ard_3-2-1_50JNM_2018-09-01_final
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50HLJ_2018-09-24_final
2018-10-04 11:52:44	ga_s2bm_ard_3-2-1_50KQA_2018-10-04_final
2018-11-10 11:42:43	ga_s2bm_ard_3-2-1_51KUV_2018-11-10_final
2019-01-19 11:43:11	ga_s2bm_ard_3-2-1_51KVT_2019-01-19_final
2019-03-16 12:06:08	ga_s2bm_ard_3-2-1_50JKM_2019-03-16_final
2019-03-18 11:06:35	ga_s2bm_ard_3-2-1_51HYD_2019-03-18_final
2019-04-07 11:06:40	ga_s2bm_ard_3-2-1_51HYD_2019-04-07_final
2019-06-08 11:46:27	ga_s2bm_ard_3-2-1_50JPL_2019-06-08_final
2019-06-22 11:23:18	ga_s2bm_ard_3-2-1_51KYT_2019-06-22_final
2019-07-09 11:15:38	ga_s2bm_ard_3-2-1_51JXJ_2019-07-09_final
2019-09-03 11:36:41	ga_s2bm_ard_3-2-1_50HPK_2019-09-03_final
2019-09-22 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2019-09-22_final
2019-09-26 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2019-09-26_final
2019-10-20 11:25:35	ga_s2bm_ard_3-2-1_51JYH_2019-10-20_final
2019-12-06 11:16:31	ga_s2bm_ard_3-2-1_51HYD_2019-12-06_final
2019-12-16 11:16:01	ga_s2bm_ard_3-2-1_52JBL_2019-12-16_final
2020-01-08 11:23:34	ga_s2bm_ard_3-2-1_51KYR_2020-01-08_final
2020-01-11 11:31:30	ga_s2bm_ard_3-2-1_51LZD_2020-01-11_final
2020-01-18 11:26:38	ga_s2bm_ard_3-2-1_51HVD_2020-01-18_final
2020-01-24 11:41:11	ga_s2bm_ard_3-2-1_51LUF_2020-01-24_final
2020-02-10 11:36:33	ga_s2bm_ard_3-2-1_50HPK_2020-02-10_final
2020-03-01 11:31:54	ga_s2bm_ard_3-2-1_51LXC_2020-03-01_final
2020-03-01 11:32:26	ga_s2bm_ard_3-2-1_51KWA_2020-03-01_final
2020-03-04 11:42:11	ga_s2bm_ard_3-2-1_51KVB_2020-03-04_final
2020-03-30 12:06:07	ga_s2bm_ard_3-2-1_50JKM_2020-03-30_final
2020-04-23 11:43:06	ga_s2bm_ard_3-2-1_51KVT_2020-04-23_final
2020-05-10 11:33:57	ga_s2bm_ard_3-2-1_51KVQ_2020-05-10_final
2020-05-17 11:23:13	ga_s2bm_ard_3-2-1_51KXT_2020-05-17_final
2020-06-29 11:34:39	ga_s2bm_ard_3-2-1_50JRT_2020-06-29_final
2020-08-05 11:27:05	ga_s2bm_ard_3-2-1_51HUC_2020-08-05_final
2020-08-27 12:04:53	ga_s2bm_ard_3-2-1_49JGN_2020-08-27_final
2020-09-06 12:05:32	ga_s2bm_ard_3-2-1_49JGK_2020-09-06_final
2020-09-30 11:43:03	ga_s2bm_ard_3-2-1_51KUU_2020-09-30_final
2020-10-24 11:27:05	ga_s2bm_ard_3-2-1_51HUC_2020-10-24_final
2020-11-06 11:36:54	ga_s2bm_ard_3-2-1_50HPJ_2020-11-06_final
2020-11-18 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2020-11-18_final
2020-11-20 11:15:54	ga_s2bm_ard_3-2-1_51JYG_2020-11-20_final
2020-11-26 11:33:34	ga_s2bm_ard_3-2-1_51KUS_2020-11-26_final
2020-12-13 11:22:09	ga_s2bm_ard_3-2-1_51KYB_2020-12-13_final
2020-12-20 11:15:21	ga_s2bm_ard_3-2-1_51JYJ_2020-12-20_final
2021-02-03 12:05:22	ga_s2bm_ard_3-2-1_50JLQ_2021-02-03_final
2021-02-14 11:32:06	ga_s2bm_ard_3-2-1_51KYB_2021-02-14_final
2021-03-08 12:13:53	ga_s2bm_ard_3-2-1_50KKA_2021-03-08_final
2021-03-13 11:24:18	ga_s2bm_ard_3-2-1_51JZN_2021-03-13_final
2021-03-15 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2021-03-15_final
2021-03-19 11:42:41	ga_s2bm_ard_3-2-1_51KVV_2021-03-19_final
2021-06-21 11:24:59	ga_s2bm_ard_3-2-1_51JWL_2021-06-21_final
2021-07-13 12:05:39	ga_s2bm_ard_3-2-1_50JLP_2021-07-13_final
2021-08-03 11:33:32	ga_s2bm_ard_3-2-1_51KVS_2021-08-03_final
2021-08-22 12:06:14	ga_s2bm_ard_3-2-1_50JKM_2021-08-22_final
2021-09-02 11:33:38	ga_s2bm_ard_3-2-1_51KWR_2021-09-02_final
2021-09-02 11:36:59	ga_s2bm_ard_3-2-1_50HQH_2021-09-02_final
2021-09-25 11:46:50	ga_s2bm_ard_3-2-1_50HNJ_2021-09-25_final
2021-09-28 11:53:09	ga_s2bm_ard_3-2-1_50KRC_2021-09-28_final
2021-10-21 12:05:18	ga_s2bm_ard_3-2-1_49JGL_2021-10-21_final
2021-11-01 11:36:24	ga_s2bm_ard_3-2-1_51HVE_2021-11-01_final
2021-11-20 12:04:15	ga_s2bm_ard_3-2-1_49KGQ_2021-11-20_final
2022-01-30 11:32:41	ga_s2bm_ard_3-2-1_51KVV_2022-01-30_final
2022-02-11 12:14:07	ga_s2bm_ard_3-2-1_49KGQ_2022-02-11_final
2022-02-13 11:15:24	ga_s2bm_ard_3-2-1_51JXJ_2022-02-13_final
2022-03-30 12:06:06	ga_s2bm_ard_3-2-1_50JKM_2022-03-30_final
2022-04-27 11:24:57	ga_s2bm_ard_3-2-1_51JVL_2022-04-27_final
2022-04-30 11:33:50	ga_s2bm_ard_3-2-1_51KWQ_2022-04-30_final
2022-06-09 11:36:33	ga_s2bm_ard_3-2-1_51HTE_2022-06-09_final
2022-06-22 11:47:11	ga_s2bm_ard_3-2-1_50HNH_2022-06-22_final
2022-08-04 11:56:30	ga_s2bm_ard_3-2-1_50JLL_2022-08-04_final
2022-08-31 11:44:32	ga_s2bm_ard_3-2-1_50JRT_2022-08-31_final
2022-09-20 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2022-09-20_final.stac-item
2022-10-11 12:50:59	ga_s2bm_ard_3-2-1_48LWP_2022-10-11_final.stac-item
2022-11-09 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2022-11-09_final.stac-item
2022-12-09 11:46:58	ga_s2bm_ard_3-2-1_50HPH_2022-12-09_final.stac-item
2022-12-10 11:16:33	ga_s2bm_ard_3-2-1_51HYD_2022-12-10_final.stac-item
2022-12-23 11:26:54	ga_s2bm_ard_3-2-1_51HWC_2022-12-23_final.stac-item
2023-01-02 11:23:41	ga_s2bm_ard_3-2-1_51KXR_2023-01-02_final.stac-item
2023-01-05 11:31:47	ga_s2bm_ard_3-2-1_51LZC_2023-01-05_final.stac-item
2023-03-28 12:14:16	ga_s2bm_ard_3-2-1_49KGQ_2023-03-28_final.stac-item
2023-03-28 12:14:30	ga_s2bm_ard_3-2-1_49KGP_2023-03-28_final.stac-item
2023-04-09 12:51:02	ga_s2bm_ard_3-2-1_48LWP_2023-04-09_final.stac-item
2023-06-21 11:24:27	ga_s2bm_ard_3-2-1_51JYN_2023-06-21_final.stac-item
2023-06-28 11:15:27	ga_s2bm_ard_3-2-1_52JBP_2023-06-28_final.stac-item
2023-10-22 11:34:07	ga_s2bm_ard_3-2-1_51KXP_2023-10-22_final.stac-item
2023-11-11 11:34:26	ga_s2bm_ard_3-2-1_51JWN_2023-11-11_final.stac-item
2023-12-18 11:23:43	ga_s2bm_ard_3-2-1_51KXR_2023-12-18_final.stac-item
2024-01-23 11:42:59	ga_s2bm_ard_3-2-1_51KUU_2024-01-23_final.stac-item
2024-03-10 11:32:50	ga_s2bm_ard_3-2-1_51KXU_2024-03-10_final.stac-item
2024-03-10 11:34:59	ga_s2bm_ard_3-2-1_51JTL_2024-03-10_final.stac-item
2024-03-20 11:34:49	ga_s2bm_ard_3-2-1_50JRS_2024-03-20_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