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
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_50KKA_2017-08-13_final
2017-09-20 11:25:57	ga_s2bm_ard_3-2-1_51JUF_2017-09-20_final
2017-12-09 11:16:47	ga_s2bm_ard_3-2-1_51KWP_2017-12-09_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50KQV_2017-12-15_final
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_51KVB_2017-12-25_final
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_51KUQ_2018-01-14_final
2018-02-04 11:11:54	ga_s2bm_ard_3-2-1_51KZQ_2018-02-04_final
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50HLH_2018-02-06_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_50KKU_2018-04-20_final
2018-05-04 11:43:41	ga_s2bm_ard_3-2-1_50HNG_2018-05-04_final.stac-item
2018-05-05 11:13:23	ga_s2bm_ard_3-2-1_51JXH_2018-05-05_final
2018-05-08 11:16:58	ga_s2bm_ard_3-2-1_51LZE_2018-05-08_final
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50HNK_2018-05-24_final
2018-09-08 11:30:45	ga_s2bm_ard_3-2-1_51KVU_2018-09-08_final
2018-09-08 11:30:45	ga_s2bm_ard_3-2-1_51KYU_2018-09-08_final
2018-09-10 12:13:12	ga_s2bm_ard_3-2-1_49KHR_2018-09-10_final
2018-10-05 11:21:50	ga_s2bm_ard_3-2-1_51JXM_2018-10-05_final
2018-10-07 12:02:45	ga_s2bm_ard_3-2-1_50JLT_2018-10-07_final
2018-12-27 11:34:21	ga_s2bm_ard_3-2-1_51JWN_2018-12-27_final
2019-01-09 11:42:26	ga_s2bm_ard_3-2-1_51KVA_2019-01-09_final
2019-02-05 11:32:29	ga_s2bm_ard_3-2-1_51KWA_2019-02-05_final
2019-03-17 11:35:39	ga_s2bm_ard_3-2-1_51JVH_2019-03-17_final
2019-05-08 12:14:14	ga_s2bm_ard_3-2-1_49KGR_2019-05-08_final
2019-05-13 11:24:02	ga_s2bm_ard_3-2-1_51KYQ_2019-05-13_final
2019-05-16 11:36:37	ga_s2bm_ard_3-2-1_51HUE_2019-05-16_final
2019-06-12 11:24:12	ga_s2bm_ard_3-2-1_51KZP_2019-06-12_final
2019-06-17 12:14:02	ga_s2bm_ard_3-2-1_49KHR_2019-06-17_final
2019-07-15 11:31:51	ga_s2bm_ard_3-2-1_51LXD_2019-07-15_final
2019-08-17 11:42:34	ga_s2bm_ard_3-2-1_51KVA_2019-08-17_final
2019-09-05 12:13:57	ga_s2bm_ard_3-2-1_49KHR_2019-09-05_final
2019-09-10 11:23:26	ga_s2bm_ard_3-2-1_51KZS_2019-09-10_final
2019-10-03 11:32:30	ga_s2bm_ard_3-2-1_51KWA_2019-10-03_final
2019-10-06 11:43:59	ga_s2bm_ard_3-2-1_51KUQ_2019-10-06_final
2019-10-26 11:46:02	ga_s2bm_ard_3-2-1_50JQM_2019-10-26_final
2019-10-30 11:26:59	ga_s2bm_ard_3-2-1_51HVC_2019-10-30_final
2019-12-02 11:31:33	ga_s2bm_ard_3-2-1_51LYD_2019-12-02_final
2019-12-02 11:33:54	ga_s2bm_ard_3-2-1_51KVQ_2019-12-02_final
2019-12-12 11:33:54	ga_s2bm_ard_3-2-1_51KVQ_2019-12-12_final
2020-01-03 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2020-01-03_final
2020-02-20 11:31:49	ga_s2bm_ard_3-2-1_51LYC_2020-02-20_final
2020-02-20 11:33:06	ga_s2bm_ard_3-2-1_51KXT_2020-02-20_final
2020-04-16 11:56:14	ga_s2bm_ard_3-2-1_50JNL_2020-04-16_final
2020-04-23 11:46:50	ga_s2bm_ard_3-2-1_50HMJ_2020-04-23_final
2020-04-26 11:53:06	ga_s2bm_ard_3-2-1_50KRC_2020-04-26_final
2020-04-27 11:24:14	ga_s2bm_ard_3-2-1_51JZN_2020-04-27_final
2020-05-06 11:53:15	ga_s2bm_ard_3-2-1_50KQC_2020-05-06_final
2020-06-01 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2020-06-01_final
2020-08-25 11:22:59	ga_s2bm_ard_3-2-1_51KYU_2020-08-25_final
2020-09-30 11:42:45	ga_s2bm_ard_3-2-1_51KVV_2020-09-30_final
2020-10-30 11:47:09	ga_s2bm_ard_3-2-1_50HNH_2020-10-30_final
2020-11-13 11:22:53	ga_s2bm_ard_3-2-1_51KZU_2020-11-13_final
2021-01-15 11:36:34	ga_s2bm_ard_3-2-1_50HQK_2021-01-15_final
2021-01-28 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2021-01-28_final.stac-item
2021-02-04 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2021-02-04_final
2021-02-05 11:06:23	ga_s2bm_ard_3-2-1_52HBK_2021-02-05_final
2021-02-07 11:42:56	ga_s2bm_ard_3-2-1_51KVU_2021-02-07_final
2021-02-07 11:43:21	ga_s2bm_ard_3-2-1_50KQC_2021-02-07_final
2021-05-15 11:33:47	ga_s2bm_ard_3-2-1_51KUR_2021-05-15_final
2021-05-22 11:26:32	ga_s2bm_ard_3-2-1_51HUE_2021-05-22_final
2021-06-04 11:36:11	ga_s2bm_ard_3-2-1_51JVF_2021-06-04_final
2021-07-04 11:34:15	ga_s2bm_ard_3-2-1_51KVP_2021-07-04_final
2021-07-14 11:37:19	ga_s2bm_ard_3-2-1_50HQG_2021-07-14_final.stac-item
2021-07-23 12:05:28	ga_s2bm_ard_3-2-1_50JKQ_2021-07-23_final
2021-08-15 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2021-08-15_final
2021-09-05 11:42:57	ga_s2bm_ard_3-2-1_51KUU_2021-09-05_final
2021-10-09 11:22:53	ga_s2bm_ard_3-2-1_51KZU_2021-10-09_final
2021-11-14 11:41:32	ga_s2bm_ard_3-2-1_51LUE_2021-11-14_final
2021-12-08 11:26:49	ga_s2bm_ard_3-2-1_51HWC_2021-12-08_final.stac-item
2021-12-15 11:16:34	ga_s2bm_ard_3-2-1_51HXD_2021-12-15_final
2022-01-10 11:34:45	ga_s2bm_ard_3-2-1_51JTM_2022-01-10_final
2022-02-09 11:36:57	ga_s2bm_ard_3-2-1_50HQH_2022-02-09_final
2022-05-03 11:42:22	ga_s2bm_ard_3-2-1_51KVA_2022-05-03_final
2022-05-19 12:03:23	ga_s2bm_ard_3-2-1_50KMC_2022-05-19_final
2022-05-22 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2022-05-22_final
2022-07-10 11:06:22	ga_s2bm_ard_3-2-1_52HDK_2022-07-10_final.stac-item
2022-08-17 12:04:50	ga_s2bm_ard_3-2-1_49JGN_2022-08-17_final
2022-09-06 12:04:59	ga_s2bm_ard_3-2-1_50JKS_2022-09-06_final.stac-item
2022-10-04 11:25:55	ga_s2bm_ard_3-2-1_51JWG_2022-10-04_final.stac-item
2022-10-07 11:32:44	ga_s2bm_ard_3-2-1_51KVV_2022-10-07_final.stac-item
2022-11-20 11:14:52	ga_s2bm_ard_3-2-1_52JBR_2022-11-20_final.stac-item
2022-11-23 11:26:00	ga_s2bm_ard_3-2-1_51JVG_2022-11-23_final.stac-item
2023-01-05 11:34:30	ga_s2bm_ard_3-2-1_51JUN_2023-01-05_final.stac-item
2023-01-15 11:36:43	ga_s2bm_ard_3-2-1_51HTD_2023-01-15_final.stac-item
2023-04-08 11:47:12	ga_s2bm_ard_3-2-1_50HMH_2023-04-08_final.stac-item
2023-05-18 11:46:38	ga_s2bm_ard_3-2-1_50HPK_2023-05-18_final.stac-item
2023-05-28 11:43:23	ga_s2bm_ard_3-2-1_50KRC_2023-05-28_final.stac-item
2023-07-03 12:03:29	ga_s2bm_ard_3-2-1_50KMC_2023-07-03_final.stac-item
2023-07-20 11:53:23	ga_s2bm_ard_3-2-1_50KQC_2023-07-20_final.stac-item
2023-08-12 12:03:50	ga_s2bm_ard_3-2-1_50KKB_2023-08-12_final.stac-item
2023-08-16 11:43:17	ga_s2bm_ard_3-2-1_51KTT_2023-08-16_final.stac-item
2023-10-09 11:24:20	ga_s2bm_ard_3-2-1_51JZN_2023-10-09_final.stac-item
2023-12-15 11:14:37	ga_s2bm_ard_3-2-1_52JBS_2023-12-15_final.stac-item
2024-02-08 12:03:44	ga_s2bm_ard_3-2-1_50KKB_2024-02-08_final.stac-item
2024-02-29 11:32:09	ga_s2bm_ard_3-2-1_51KXB_2024-02-29_final.stac-item
2024-02-29 11:37:01	ga_s2bm_ard_3-2-1_50HQH_2024-02-29_final.stac-item
2024-03-07 11:22:21	ga_s2bm_ard_3-2-1_51KYA_2024-03-07_final.stac-item
2024-03-17 11:22:59	ga_s2bm_ard_3-2-1_51KXU_2024-03-17_final.stac-item
2024-03-19 12:05:43	ga_s2bm_ard_3-2-1_49JGJ_2024-03-19_final.stac-item
2024-03-30 11:32:40	ga_s2bm_ard_3-2-1_51KXV_2024-03-30_final.stac-item
2024-04-16 11:24:03	ga_s2bm_ard_3-2-1_51KWQ_2024-04-16_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