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
2017-07-09 11:12:47	ga_s2bm_ard_3-2-1_52KDD_2017-07-09_final
2017-08-07 11:38:33	ga_s2bm_ard_3-2-1_51KUV_2017-08-07_final
2017-09-06 10:03:22	ga_s2bm_ard_3-2-1_54HWC_2017-09-06_final
2017-11-30 10:47:13	ga_s2bm_ard_3-2-1_53LMG_2017-11-30_final
2017-12-10 10:47:13	ga_s2bm_ard_3-2-1_53LNE_2017-12-10_final
2017-12-11 10:16:54	ga_s2bm_ard_3-2-1_54HUF_2017-12-11_final
2017-12-30 10:47:14	ga_s2bm_ard_3-2-1_53KNV_2017-12-30_final
2018-04-02 10:57:12	ga_s2bm_ard_3-2-1_52JGT_2018-04-02_final
2018-04-28 11:24:29	ga_s2bm_ard_3-2-1_52JBR_2018-04-28_final
2018-05-08 11:24:04	ga_s2bm_ard_3-2-1_51JWH_2018-05-08_final
2018-05-23 10:32:01	ga_s2bm_ard_3-2-1_53JQM_2018-05-23_final
2018-06-14 11:10:36	ga_s2bm_ard_3-2-1_52KBU_2018-06-14_final
2018-07-07 11:21:54	ga_s2bm_ard_3-2-1_51KZQ_2018-07-07_final
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_50HPK_2018-07-30_final
2018-08-05 10:13:40	ga_s2bm_ard_3-2-1_53HQB_2018-08-05_final
2018-09-16 10:51:21	ga_s2bm_ard_3-2-1_52JGM_2018-09-16_final
2018-09-18 11:33:03	ga_s2bm_ard_3-2-1_51KWQ_2018-09-18_final
2018-11-29 10:36:06	ga_s2bm_ard_3-2-1_53HME_2018-11-29_final
2019-01-07 11:05:36	ga_s2bm_ard_3-2-1_52JCN_2019-01-07_final
2019-01-12 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2019-01-12_final
2019-01-26 11:31:39	ga_s2bm_ard_3-2-1_51LYD_2019-01-26_final
2019-01-31 10:41:49	ga_s2bm_ard_3-2-1_53KQB_2019-01-31_final
2019-02-23 10:55:45	ga_s2bm_ard_3-2-1_52JFM_2019-02-23_final
2019-04-12 10:17:05	ga_s2bm_ard_3-2-1_54HUF_2019-04-12_final
2019-04-26 11:31:25	ga_s2bm_ard_3-2-1_52LBK_2019-04-26_final
2019-07-15 09:57:31	ga_s2bm_ard_3-2-1_54HYD_2019-07-15_final
2019-07-27 10:32:05	ga_s2bm_ard_3-2-1_54KVF_2019-07-27_final
2019-08-03 12:04:36	ga_s2bm_ard_3-2-1_50KKU_2019-08-03_final
2020-01-28 11:26:12	ga_s2bm_ard_3-2-1_51JUF_2020-01-28_final
2020-02-22 10:32:00	ga_s2bm_ard_3-2-1_54KTF_2020-02-22_final
2020-02-29 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2020-02-29_final
2020-04-26 10:16:58	ga_s2bm_ard_3-2-1_54HWE_2020-04-26_final
2020-04-30 11:33:44	ga_s2bm_ard_3-2-1_51KUR_2020-04-30_final
2020-05-21 11:03:20	ga_s2bm_ard_3-2-1_52KEB_2020-05-21_final
2020-06-03 11:13:09	ga_s2bm_ard_3-2-1_52KEB_2020-06-03_final
2020-10-01 11:13:57	ga_s2bm_ard_3-2-1_52KBV_2020-10-01_final
2020-10-23 10:14:38	ga_s2bm_ard_3-2-1_54JYQ_2020-10-23_final
2020-11-22 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2020-11-22_final
2021-01-08 11:43:17	ga_s2bm_ard_3-2-1_51KTT_2021-01-08_final
2021-02-08 11:10:36	ga_s2bm_ard_3-2-1_52LHM_2021-02-08_final
2021-03-27 11:05:25	ga_s2bm_ard_3-2-1_52JFN_2021-03-27_final
2021-04-28 11:43:17	ga_s2bm_ard_3-2-1_50KQC_2021-04-28_final
2021-05-15 09:58:04	ga_s2bm_ard_3-2-1_54GYA_2021-05-15_final
2021-05-24 10:23:58	ga_s2bm_ard_3-2-1_54JVT_2021-05-24_final
2021-06-13 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2021-06-13_final
2021-09-12 11:36:13	ga_s2bm_ard_3-2-1_51JTF_2021-09-12_final
2021-10-23 11:06:25	ga_s2bm_ard_3-2-1_52HBK_2021-10-23_final
2022-01-14 11:13:09	ga_s2bm_ard_3-2-1_52KBC_2022-01-14_final
2022-02-06 11:21:18	ga_s2bm_ard_3-2-1_52LBK_2022-02-06_final
2022-02-12 11:42:22	ga_s2bm_ard_3-2-1_51KVA_2022-02-12_final
2022-02-18 10:26:54	ga_s2bm_ard_3-2-1_53HQA_2022-02-18_final
2022-03-07 11:56:38	ga_s2bm_ard_3-2-1_50HLK_2022-03-07_final
2022-03-24 10:07:38	ga_s2bm_ard_3-2-1_54HWC_2022-03-24_final
2022-04-03 11:43:08	ga_s2bm_ard_3-2-1_50KRC_2022-04-03_final
2022-04-22 10:32:54	ga_s2bm_ard_3-2-1_54KTB_2022-04-22_final
2022-04-29 10:24:50	ga_s2bm_ard_3-2-1_53JQK_2022-04-29_final
2022-05-08 10:50:46	ga_s2bm_ard_3-2-1_53LPF_2022-05-08_final
2022-05-20 11:34:14	ga_s2bm_ard_3-2-1_51KVP_2022-05-20_final
2022-06-19 11:36:36	ga_s2bm_ard_3-2-1_51HTE_2022-06-19_final
2022-07-06 11:24:09	ga_s2bm_ard_3-2-1_51KZP_2022-07-06_final
2022-07-06 11:24:20	ga_s2bm_ard_3-2-1_51KWP_2022-07-06_final
2022-07-06 11:24:24	ga_s2bm_ard_3-2-1_51JZN_2022-07-06_final
2022-08-06 10:55:46	ga_s2bm_ard_3-2-1_52JGM_2022-08-06_final
2022-08-12 11:13:40	ga_s2bm_ard_3-2-1_52KCA_2022-08-12_final
2022-09-13 10:17:17	ga_s2bm_ard_3-2-1_54HUE_2022-09-13_final.stac-item
2022-10-02 10:45:21	ga_s2bm_ard_3-2-1_53JMH_2022-10-02_final.stac-item
2022-10-30 11:42:44	ga_s2bm_ard_3-2-1_51KUV_2022-10-30_final.stac-item
2022-11-08 10:31:45	ga_s2bm_ard_3-2-1_54KUG_2022-11-08_final.stac-item
2022-11-27 11:02:14	ga_s2bm_ard_3-2-1_52KGF_2022-11-27_final.stac-item
2022-12-23 11:21:25	ga_s2bm_ard_3-2-1_51LZE_2022-12-23_final.stac-item
2022-12-23 11:23:09	ga_s2bm_ard_3-2-1_51KYT_2022-12-23_final.stac-item
2023-01-25 11:34:15	ga_s2bm_ard_3-2-1_51KUP_2023-01-25_final.stac-item
2023-02-06 10:31:37	ga_s2bm_ard_3-2-1_54KUG_2023-02-06_final.stac-item
2023-02-11 11:25:08	ga_s2bm_ard_3-2-1_51JXK_2023-02-11_final.stac-item
2023-03-05 12:04:16	ga_s2bm_ard_3-2-1_49KHQ_2023-03-05_final.stac-item
2023-03-29 10:06:02	ga_s2bm_ard_3-2-1_54HWK_2023-03-29_final.stac-item
2023-05-29 11:16:27	ga_s2bm_ard_3-2-1_51HYE_2023-05-29_final.stac-item
2023-06-28 11:14:36	ga_s2bm_ard_3-2-1_52JDS_2023-06-28_final.stac-item
2023-07-24 09:57:51	ga_s2bm_ard_3-2-1_54HWC_2023-07-24_final.stac-item
2023-07-24 11:31:24	ga_s2bm_ard_3-2-1_52LBK_2023-07-24_final.stac-item
2023-08-03 09:57:55	ga_s2bm_ard_3-2-1_54HYB_2023-08-03_final.stac-item
2023-08-04 11:01:31	ga_s2bm_ard_3-2-1_53LKD_2023-08-04_final.stac-item
2023-08-10 11:24:20	ga_s2bm_ard_3-2-1_51KWP_2023-08-10_final.stac-item
2023-10-16 11:14:11	ga_s2bm_ard_3-2-1_52KBU_2023-10-16_final.stac-item
2023-11-10 10:26:34	ga_s2bm_ard_3-2-1_53HQC_2023-11-10_final.stac-item
2023-11-12 11:05:35	ga_s2bm_ard_3-2-1_52JDN_2023-11-12_final.stac-item
2023-11-24 11:43:13	ga_s2bm_ard_3-2-1_50KRC_2023-11-24_final.stac-item
2023-12-04 11:47:11	ga_s2bm_ard_3-2-1_50HLH_2023-12-04_final.stac-item
2023-12-14 11:42:44	ga_s2bm_ard_3-2-1_51KUV_2023-12-14_final.stac-item
2023-12-25 11:11:38	ga_s2bm_ard_3-2-1_52LDJ_2023-12-25_final.stac-item
2023-12-31 11:33:31	ga_s2bm_ard_3-2-1_51KVS_2023-12-31_final.stac-item
2024-01-07 11:24:23	ga_s2bm_ard_3-2-1_52JBT_2024-01-07_final.stac-item
2024-01-12 10:32:46	ga_s2bm_ard_3-2-1_53KRT_2024-01-12_final.stac-item
2024-01-23 11:42:56	ga_s2bm_ard_3-2-1_51KVU_2024-01-23_final.stac-item
2024-02-03 11:13:31	ga_s2bm_ard_3-2-1_52KDA_2024-02-03_final.stac-item
2024-02-08 10:25:05	ga_s2bm_ard_3-2-1_53JQJ_2024-02-08_final.stac-item
2024-03-10 11:32:10	ga_s2bm_ard_3-2-1_51KWB_2024-03-10_final.stac-item
2024-04-15 11:53:18	ga_s2bm_ard_3-2-1_50KQC_2024-04-15_final.stac-item
2024-04-21 10:36:59	ga_s2bm_ard_3-2-1_53HPA_2024-04-21_final.stac-item
2024-05-09 11:34:30	ga_s2bm_ard_3-2-1_51JVN_2024-05-09_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