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
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50JMM_2017-07-31_final
2017-08-14 11:34:56	ga_s2bm_ard_3-2-1_51JTJ_2017-08-14_final
2017-08-23 10:23:03	ga_s2bm_ard_3-2-1_53JQL_2017-08-23_final
2017-09-10 11:21:50	ga_s2bm_ard_3-2-1_51HVC_2017-09-10_final
2017-10-13 11:30:03	ga_s2bm_ard_3-2-1_51KVV_2017-10-13_final
2018-01-19 10:47:17	ga_s2bm_ard_3-2-1_53KMB_2018-01-19_final
2018-01-25 11:07:05	ga_s2bm_ard_3-2-1_52LEJ_2018-01-25_final
2018-02-24 11:07:04	ga_s2bm_ard_3-2-1_52LEJ_2018-02-24_final
2018-03-06 11:11:23	ga_s2bm_ard_3-2-1_51HYE_2018-03-06_final
2018-03-06 11:11:23	ga_s2bm_ard_3-2-1_51JYL_2018-03-06_final
2018-03-27 10:45:51	ga_s2bm_ard_3-2-1_53HLD_2018-03-27_final
2018-05-14 11:43:22	ga_s2bm_ard_3-2-1_50HPJ_2018-05-14_final
2018-08-23 11:12:48	ga_s2bm_ard_3-2-1_51JXH_2018-08-23_final
2018-11-11 11:14:50	ga_s2bm_ard_3-2-1_52JBR_2018-11-11_final
2018-12-21 11:10:38	ga_s2bm_ard_3-2-1_52LGM_2018-12-21_final
2019-01-26 11:31:18	ga_s2bm_ard_3-2-1_52LBK_2019-01-26_final
2019-02-12 11:26:58	ga_s2bm_ard_3-2-1_51HVC_2019-02-12_final
2019-03-18 11:05:36	ga_s2bm_ard_3-2-1_52JCN_2019-03-18_final
2019-03-19 10:36:57	ga_s2bm_ard_3-2-1_53HPA_2019-03-19_final
2019-03-25 10:51:47	ga_s2bm_ard_3-2-1_53KMB_2019-03-25_final
2019-03-29 12:15:21	ga_s2bm_ard_3-2-1_49JGK_2019-03-29_final
2019-04-15 12:05:19	ga_s2bm_ard_3-2-1_49JGL_2019-04-15_final
2019-06-09 11:15:08	ga_s2bm_ard_3-2-1_52JDQ_2019-06-09_final
2019-06-25 11:33:24	ga_s2bm_ard_3-2-1_51KVT_2019-06-25_final
2019-07-21 11:56:49	ga_s2bm_ard_3-2-1_50HLK_2019-07-21_final
2019-08-16 10:36:16	ga_s2bm_ard_3-2-1_53HME_2019-08-16_final
2019-09-02 12:06:13	ga_s2bm_ard_3-2-1_50JKM_2019-09-02_final
2019-11-29 11:24:47	ga_s2bm_ard_3-2-1_51JYL_2019-11-29_final
2019-11-29 11:25:30	ga_s2bm_ard_3-2-1_51JYH_2019-11-29_final
2019-12-12 11:32:56	ga_s2bm_ard_3-2-1_51KVU_2019-12-12_final
2019-12-22 11:35:03	ga_s2bm_ard_3-2-1_51JWK_2019-12-22_final
2020-01-23 10:36:39	ga_s2bm_ard_3-2-1_53HPB_2020-01-23_final
2020-02-10 11:32:20	ga_s2bm_ard_3-2-1_51KXA_2020-02-10_final
2020-03-01 11:32:55	ga_s2bm_ard_3-2-1_51KWU_2020-03-01_final
2020-03-03 10:34:30	ga_s2bm_ard_3-2-1_53JQL_2020-03-03_final
2020-03-17 11:56:09	ga_s2bm_ard_3-2-1_50JLM_2020-03-17_final
2020-03-23 10:36:34	ga_s2bm_ard_3-2-1_53HNC_2020-03-23_final
2020-04-16 11:54:34	ga_s2bm_ard_3-2-1_50JLT_2020-04-16_final
2020-05-20 11:33:38	ga_s2bm_ard_3-2-1_51KXR_2020-05-20_final
2020-06-23 11:15:45	ga_s2bm_ard_3-2-1_51JXH_2020-06-23_final
2020-10-30 11:46:29	ga_s2bm_ard_3-2-1_50JML_2020-10-30_final
2020-11-27 11:00:30	ga_s2bm_ard_3-2-1_52LHN_2020-11-27_final
2020-11-30 11:15:47	ga_s2bm_ard_3-2-1_52JCM_2020-11-30_final
2021-01-06 11:03:01	ga_s2bm_ard_3-2-1_52KFC_2021-01-06_final
2021-01-16 11:04:11	ga_s2bm_ard_3-2-1_52JFT_2021-01-16_final
2021-01-26 11:01:51	ga_s2bm_ard_3-2-1_53KLB_2021-01-26_final
2021-01-28 11:41:58	ga_s2bm_ard_3-2-1_51LVC_2021-01-28_final
2021-03-12 11:53:57	ga_s2bm_ard_3-2-1_50KQV_2021-03-12_final
2021-03-13 11:24:54	ga_s2bm_ard_3-2-1_51JXL_2021-03-13_final
2021-06-01 11:23:50	ga_s2bm_ard_3-2-1_52KBV_2021-06-01_final
2021-07-05 11:01:21	ga_s2bm_ard_3-2-1_52LHJ_2021-07-05_final
2021-10-01 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2021-10-01_final
2021-10-04 10:36:32	ga_s2bm_ard_3-2-1_53HPC_2021-10-04_final
2021-10-22 11:31:19	ga_s2bm_ard_3-2-1_52LBK_2021-10-22_final
2021-10-22 11:31:22	ga_s2bm_ard_3-2-1_51LZE_2021-10-22_final
2021-10-24 10:34:09	ga_s2bm_ard_3-2-1_53JPN_2021-10-24_final
2022-01-18 10:54:21	ga_s2bm_ard_3-2-1_52JHS_2022-01-18_final
2022-01-30 11:31:29	ga_s2bm_ard_3-2-1_51LZD_2022-01-30_final
2022-01-31 11:04:59	ga_s2bm_ard_3-2-1_52JDQ_2022-01-31_final
2022-05-31 11:03:20	ga_s2bm_ard_3-2-1_52KEB_2022-05-31_final
2022-05-31 11:03:31	ga_s2bm_ard_3-2-1_52KFA_2022-05-31_final
2022-06-01 10:35:30	ga_s2bm_ard_3-2-1_53JQG_2022-06-01_final
2022-07-01 10:36:51	ga_s2bm_ard_3-2-1_53HPB_2022-07-01_final
2022-07-18 12:06:00	ga_s2bm_ard_3-2-1_50JKN_2022-07-18_final
2022-07-29 11:36:22	ga_s2bm_ard_3-2-1_51JTF_2022-07-29_final
2022-08-01 11:44:53	ga_s2bm_ard_3-2-1_50JQS_2022-08-01_final.stac-item
2022-08-02 11:14:43	ga_s2bm_ard_3-2-1_52JBS_2022-08-02_final
2022-09-20 11:47:08	ga_s2bm_ard_3-2-1_50HNH_2022-09-20_final.stac-item
2022-09-25 10:54:27	ga_s2bm_ard_3-2-1_53JKM_2022-09-25_final.stac-item
2022-10-01 11:15:29	ga_s2bm_ard_3-2-1_51JXJ_2022-10-01_final.stac-item
2022-10-02 10:45:10	ga_s2bm_ard_3-2-1_53JLJ_2022-10-02_final.stac-item
2022-10-10 11:46:24	ga_s2bm_ard_3-2-1_50JML_2022-10-10_final.stac-item
2022-10-18 11:06:09	ga_s2bm_ard_3-2-1_52JBL_2022-10-18_final.stac-item
2022-11-21 10:44:38	ga_s2bm_ard_3-2-1_53JML_2022-11-21_final.stac-item
2022-11-23 11:25:56	ga_s2bm_ard_3-2-1_51JWG_2022-11-23_final.stac-item
2022-11-25 12:03:19	ga_s2bm_ard_3-2-1_50KNC_2022-11-25_final.stac-item
2022-12-06 11:32:59	ga_s2bm_ard_3-2-1_51KYT_2022-12-06_final.stac-item
2022-12-27 11:01:49	ga_s2bm_ard_3-2-1_52LFH_2022-12-27_final.stac-item
2023-01-29 11:14:00	ga_s2bm_ard_3-2-1_52KDU_2023-01-29_final.stac-item
2023-02-18 12:50:59	ga_s2bm_ard_3-2-1_48LWP_2023-02-18_final.stac-item
2023-03-28 10:36:49	ga_s2bm_ard_3-2-1_53HPB_2023-03-28_final.stac-item
2023-03-30 11:14:27	ga_s2bm_ard_3-2-1_52JBT_2023-03-30_final.stac-item
2023-04-05 11:33:45	ga_s2bm_ard_3-2-1_51KWR_2023-04-05_final.stac-item
2023-04-24 12:06:06	ga_s2bm_ard_3-2-1_50JLM_2023-04-24_final.stac-item
2023-05-22 11:23:33	ga_s2bm_ard_3-2-1_51KXS_2023-05-22_final.stac-item
2023-06-20 11:54:23	ga_s2bm_ard_3-2-1_50KPU_2023-06-20_final.stac-item
2023-06-27 11:42:00	ga_s2bm_ard_3-2-1_51LWC_2023-06-27_final.stac-item
2023-08-20 11:21:16	ga_s2bm_ard_3-2-1_51LZF_2023-08-20_nrt.stac-item
2023-11-12 11:03:47	ga_s2bm_ard_3-2-1_52KFV_2023-11-12_final.stac-item
2023-11-16 10:46:23	ga_s2bm_ard_3-2-1_53HLD_2023-11-16_final.stac-item
2023-12-17 11:57:12	ga_s2bm_ard_3-2-1_50HKH_2023-12-17_nrt.stac-item
2023-12-31 11:35:55	ga_s2bm_ard_3-2-1_51JTH_2023-12-31_final.stac-item
2024-01-06 11:55:46	ga_s2bm_ard_3-2-1_50JKP_2024-01-06_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 11:21:09	ga_s2bm_ard_3-2-1_51LZF_2024-01-27_nrt.stac-item
2024-01-27 11:22:32	ga_s2bm_ard_3-2-1_52KCE_2024-01-27_final.stac-item
2024-01-31 11:00:42	ga_s2bm_ard_3-2-1_52LHM_2024-01-31_final.stac-item
2024-02-15 11:55:57	ga_s2bm_ard_3-2-1_50JLN_2024-02-15_final.stac-item
2024-03-24 11:13:30	ga_s2bm_ard_3-2-1_52KEA_2024-03-24_final.stac-item
2024-03-24 11:14:09	ga_s2bm_ard_3-2-1_52KBU_2024-03-24_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