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
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50JPT_2017-08-27_final
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50JRS_2017-08-27_final
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50KPC_2017-09-09_final
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HLG_2017-11-15_final.stac-item
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50HLH_2017-12-15_final
2017-12-19 11:25:05	ga_s2bm_ard_3-2-1_51HWC_2017-12-19_final.stac-item
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50HLG_2018-01-04_final.stac-item
2018-01-07 11:56:02	ga_s2bm_ard_3-2-1_50HLH_2018-01-07_final
2018-02-07 11:16:52	ga_s2bm_ard_3-2-1_51HVE_2018-02-07_final
2018-02-10 11:35:47	ga_s2bm_ard_3-2-1_50HPK_2018-02-10_final
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50KQF_2018-02-26_final.stac-item
2018-03-09 11:21:24	ga_s2bm_ard_3-2-1_51HWC_2018-03-09_final.stac-item
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_50HMH_2018-03-15_final
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50JPT_2018-03-25_final
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50JPM_2018-04-04_final
2018-04-08 11:24:02	ga_s2bm_ard_3-2-1_51HUE_2018-04-08_final
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_51HUD_2018-04-21_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JNP_2018-04-24_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JNQ_2018-04-24_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JPP_2018-04-24_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JQR_2018-04-24_final
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50HMH_2018-05-24_final
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49KHS_2018-07-09_final.stac-item
2018-07-24 11:12:53	ga_s2bm_ard_3-2-1_51HWC_2018-07-24_final.stac-item
2018-08-15 11:43:38	ga_s2bm_ard_3-2-1_50KPC_2018-08-15_final
2018-08-22 11:44:50	ga_s2bm_ard_3-2-1_50HNG_2018-08-22_final.stac-item
2018-09-12 11:14:23	ga_s2bm_ard_3-2-1_51HWC_2018-09-12_final.stac-item
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_50HMG_2018-09-21_final.stac-item
2018-10-01 11:44:52	ga_s2bm_ard_3-2-1_50HMG_2018-10-01_final.stac-item
2018-10-04 11:52:44	ga_s2bm_ard_3-2-1_50JLP_2018-10-04_final
2018-10-08 11:30:50	ga_s2bm_ard_3-2-1_50JQL_2018-10-08_final
2018-11-10 11:44:28	ga_s2bm_ard_3-2-1_50JRT_2018-11-10_final
2018-12-07 11:37:12	ga_s2bm_ard_3-2-1_50HQG_2018-12-07_final.stac-item
2018-12-23 11:53:42	ga_s2bm_ard_3-2-1_50KQA_2018-12-23_final
2019-01-02 11:53:44	ga_s2bm_ard_3-2-1_50KQA_2019-01-02_final
2019-01-09 11:47:26	ga_s2bm_ard_3-2-1_50HLG_2019-01-09_final.stac-item
2019-02-19 11:16:58	ga_s2bm_ard_3-2-1_51HWC_2019-02-19_final.stac-item
2019-03-13 11:54:37	ga_s2bm_ard_3-2-1_50JMT_2019-03-13_final
2019-03-24 11:26:55	ga_s2bm_ard_3-2-1_51HWC_2019-03-24_final.stac-item
2019-04-29 11:45:40	ga_s2bm_ard_3-2-1_50JQP_2019-04-29_final
2019-05-19 11:45:01	ga_s2bm_ard_3-2-1_50JPS_2019-05-19_final
2019-05-25 12:03:53	ga_s2bm_ard_3-2-1_49KHS_2019-05-25_final.stac-item
2019-05-29 11:47:15	ga_s2bm_ard_3-2-1_50HNH_2019-05-29_final
2019-09-03 11:37:04	ga_s2bm_ard_3-2-1_51HTC_2019-09-03_final
2019-11-12 11:37:26	ga_s2bm_ard_3-2-1_50HNG_2019-11-12_final.stac-item
2019-11-25 11:47:11	ga_s2bm_ard_3-2-1_50HLH_2019-11-25_final
2019-12-05 11:42:58	ga_s2bm_ard_3-2-1_50KRD_2019-12-05_final
2020-03-24 11:47:15	ga_s2bm_ard_3-2-1_50HPG_2020-03-24_final.stac-item
2020-06-12 11:46:36	ga_s2bm_ard_3-2-1_50HPK_2020-06-12_final
2020-06-29 11:36:49	ga_s2bm_ard_3-2-1_51HTD_2020-06-29_final
2020-06-29 11:37:05	ga_s2bm_ard_3-2-1_50HQH_2020-06-29_final
2020-09-10 11:46:25	ga_s2bm_ard_3-2-1_50JNL_2020-09-10_final
2020-09-26 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2020-09-26_final
2020-10-10 11:47:10	ga_s2bm_ard_3-2-1_50HNH_2020-10-10_final
2020-10-20 11:44:14	ga_s2bm_ard_3-2-1_50KPV_2020-10-20_final
2020-11-09 11:44:12	ga_s2bm_ard_3-2-1_50KPV_2020-11-09_final
2020-11-09 11:44:25	ga_s2bm_ard_3-2-1_50KPU_2020-11-09_final
2020-11-22 11:57:15	ga_s2bm_ard_3-2-1_50HMH_2020-11-22_final
2021-01-21 11:57:08	ga_s2bm_ard_3-2-1_50HMH_2021-01-21_final
2021-02-03 12:04:56	ga_s2bm_ard_3-2-1_50JKS_2021-02-03_final
2021-02-14 11:37:01	ga_s2bm_ard_3-2-1_50HQH_2021-02-14_final
2021-03-26 11:36:56	ga_s2bm_ard_3-2-1_51HUC_2021-03-26_final
2021-05-08 11:47:04	ga_s2bm_ard_3-2-1_50HNH_2021-05-08_final
2021-05-21 11:57:20	ga_s2bm_ard_3-2-1_50HMG_2021-05-21_final.stac-item
2021-05-22 11:26:47	ga_s2bm_ard_3-2-1_51HXC_2021-05-22_final.stac-item
2021-06-13 12:05:16	ga_s2bm_ard_3-2-1_49JGL_2021-06-13_final
2021-06-17 11:47:28	ga_s2bm_ard_3-2-1_50HLG_2021-06-17_final.stac-item
2021-06-30 11:55:03	ga_s2bm_ard_3-2-1_50JPR_2021-06-30_final
2021-07-03 12:04:49	ga_s2bm_ard_3-2-1_50JKS_2021-07-03_final
2021-07-30 11:57:25	ga_s2bm_ard_3-2-1_50HLG_2021-07-30_final.stac-item
2021-08-03 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2021-08-03_final
2021-08-16 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2021-08-16_final.stac-item
2021-09-01 12:03:41	ga_s2bm_ard_3-2-1_49KHS_2021-09-01_final.stac-item
2021-10-15 11:44:32	ga_s2bm_ard_3-2-1_51JTN_2021-10-15_final
2021-11-24 11:44:01	ga_s2bm_ard_3-2-1_50KPV_2021-11-24_final
2021-12-04 11:44:05	ga_s2bm_ard_3-2-1_50KPV_2021-12-04_final
2022-02-12 11:44:10	ga_s2bm_ard_3-2-1_50KRU_2022-02-12_final
2022-03-27 11:54:02	ga_s2bm_ard_3-2-1_50KPV_2022-03-27_final
2022-06-18 12:05:45	ga_s2bm_ard_3-2-1_50JKP_2022-06-18_final
2022-07-29 11:37:26	ga_s2bm_ard_3-2-1_50HPG_2022-07-29_final.stac-item
2022-08-31 11:47:25	ga_s2bm_ard_3-2-1_50HMG_2022-08-31_final.stac-item
2022-11-29 11:43:03	ga_s2bm_ard_3-2-1_50KRD_2022-11-29_final.stac-item
2023-01-11 11:53:46	ga_s2bm_ard_3-2-1_50KPA_2023-01-11_final.stac-item
2023-02-11 11:26:34	ga_s2bm_ard_3-2-1_51HXD_2023-02-11_final.stac-item
2023-04-15 11:37:18	ga_s2bm_ard_3-2-1_50HQG_2023-04-15_final.stac-item
2023-05-14 12:03:48	ga_s2bm_ard_3-2-1_49KHS_2023-05-14_final.stac-item
2023-06-13 12:04:39	ga_s2bm_ard_3-2-1_49KGP_2023-06-13_final.stac-item
2023-08-03 11:37:07	ga_s2bm_ard_3-2-1_50HQH_2023-08-03_final.stac-item
2023-08-12 12:03:50	ga_s2bm_ard_3-2-1_49KHS_2023-08-12_final.stac-item
2023-09-24 12:13:43	ga_s2bm_ard_3-2-1_50KKB_2023-09-24_final.stac-item
2023-10-24 12:13:41	ga_s2bm_ard_3-2-1_50KKB_2023-10-24_final.stac-item
2023-11-07 11:56:02	ga_s2bm_ard_3-2-1_50JKN_2023-11-07_final.stac-item
2023-11-30 12:03:56	ga_s2bm_ard_3-2-1_50KKA_2023-11-30_final.stac-item
2023-12-07 11:57:02	ga_s2bm_ard_3-2-1_50HMH_2023-12-07_final.stac-item
2023-12-27 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2023-12-27_final.stac-item
2024-01-02 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2024-01-02_final.stac-item
2024-02-05 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2024-02-05_final.stac-item
2024-02-18 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2024-02-18_final.stac-item
2024-03-03 11:43:01	ga_s2bm_ard_3-2-1_50KRD_2024-03-03_final.stac-item
2024-03-19 12:03:23	ga_s2bm_ard_3-2-1_50KMC_2024-03-19_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