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
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_51KUP_2017-08-27_final
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HLG_2017-11-15_final.stac-item
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51KUP_2017-11-22_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_51KTP_2017-11-25_final
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_51JYK_2017-11-29_final
2017-12-09 11:16:47	ga_s2bm_ard_3-2-1_51JZN_2017-12-09_final
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51JVN_2017-12-12_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_51KTP_2017-12-15_final
2017-12-19 11:19:33	ga_s2bm_ard_3-2-1_51JYL_2017-12-19_final
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50HLH_2017-12-28_final
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50HLG_2018-01-04_final.stac-item
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50HMJ_2018-02-06_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51KUP_2018-02-20_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51KUQ_2018-02-20_final
2018-03-09 11:21:24	ga_s2bm_ard_3-2-1_51HWC_2018-03-09_final.stac-item
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50JPT_2018-03-25_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JKP_2018-03-28_final
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50JPM_2018-04-04_final
2018-04-05 11:11:18	ga_s2bm_ard_3-2-1_51HWD_2018-04-05_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JKN_2018-04-07_final
2018-04-08 11:24:02	ga_s2bm_ard_3-2-1_51HUE_2018-04-08_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HPK_2018-04-24_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
2018-05-30 12:02:46	ga_s2bm_ard_3-2-1_49KHQ_2018-05-30_final
2018-07-16 11:52:50	ga_s2bm_ard_3-2-1_50KQD_2018-07-16_final.stac-item
2018-08-13 11:11:16	ga_s2bm_ard_3-2-1_51HWC_2018-08-13_final.stac-item
2018-10-01 11:44:52	ga_s2bm_ard_3-2-1_50HMG_2018-10-01_final.stac-item
2018-12-07 11:37:12	ga_s2bm_ard_3-2-1_50HQG_2018-12-07_final.stac-item
2018-12-20 11:42:58	ga_s2bm_ard_3-2-1_51KTU_2018-12-20_final
2018-12-20 11:44:26	ga_s2bm_ard_3-2-1_51JTN_2018-12-20_final
2018-12-23 11:53:42	ga_s2bm_ard_3-2-1_50KQA_2018-12-23_final
2018-12-27 11:34:25	ga_s2bm_ard_3-2-1_51JVN_2018-12-27_final
2018-12-30 11:47:11	ga_s2bm_ard_3-2-1_50HLH_2018-12-30_final
2018-12-30 11:47:14	ga_s2bm_ard_3-2-1_50HPG_2018-12-30_final.stac-item
2019-01-02 11:53:44	ga_s2bm_ard_3-2-1_50KQA_2019-01-02_final
2019-01-03 11:24:17	ga_s2bm_ard_3-2-1_51JZN_2019-01-03_final
2019-01-09 11:44:29	ga_s2bm_ard_3-2-1_51JTN_2019-01-09_final
2019-01-09 11:47:26	ga_s2bm_ard_3-2-1_50HLG_2019-01-09_final.stac-item
2019-02-11 11:52:34	ga_s2bm_ard_3-2-1_50KQF_2019-02-11_final.stac-item
2019-03-10 11:43:01	ga_s2bm_ard_3-2-1_50KRD_2019-03-10_final
2019-03-20 11:43:02	ga_s2bm_ard_3-2-1_51KTU_2019-03-20_final
2019-03-27 11:37:22	ga_s2bm_ard_3-2-1_50HPG_2019-03-27_final.stac-item
2019-04-09 11:47:21	ga_s2bm_ard_3-2-1_50HPG_2019-04-09_final.stac-item
2019-05-06 11:37:29	ga_s2bm_ard_3-2-1_50HPG_2019-05-06_final.stac-item
2019-05-15 12:03:53	ga_s2bm_ard_3-2-1_49KHS_2019-05-15_final.stac-item
2019-05-19 11:45:01	ga_s2bm_ard_3-2-1_50JPS_2019-05-19_final
2019-08-14 11:34:22	ga_s2bm_ard_3-2-1_51JXN_2019-08-14_final
2019-08-17 11:42:23	ga_s2bm_ard_3-2-1_51KUB_2019-08-17_final.stac-item
2019-09-07 11:17:01	ga_s2bm_ard_3-2-1_51HWC_2019-09-07_final.stac-item
2019-11-12 11:34:17	ga_s2bm_ard_3-2-1_51KUP_2019-11-12_final
2019-11-12 11:37:26	ga_s2bm_ard_3-2-1_50HNG_2019-11-12_final.stac-item
2019-12-15 11:44:16	ga_s2bm_ard_3-2-1_50KRU_2019-12-15_final
2020-01-08 11:25:04	ga_s2bm_ard_3-2-1_51JXK_2020-01-08_final
2020-01-14 11:43:45	ga_s2bm_ard_3-2-1_51KUQ_2020-01-14_final
2020-02-13 11:44:08	ga_s2bm_ard_3-2-1_51KUP_2020-02-13_final
2020-02-20 11:37:13	ga_s2bm_ard_3-2-1_50HQG_2020-02-20_final.stac-item
2020-03-24 11:47:15	ga_s2bm_ard_3-2-1_50HPG_2020-03-24_final.stac-item
2020-10-20 11:43:07	ga_s2bm_ard_3-2-1_51KTU_2020-10-20_final
2020-10-20 11:44:14	ga_s2bm_ard_3-2-1_50KPV_2020-10-20_final
2020-10-30 11:47:27	ga_s2bm_ard_3-2-1_50HMG_2020-10-30_final.stac-item
2020-11-09 11:43:05	ga_s2bm_ard_3-2-1_51KTU_2020-11-09_final
2020-11-09 11:44:03	ga_s2bm_ard_3-2-1_50KRV_2020-11-09_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 11:53:18	ga_s2bm_ard_3-2-1_50KQC_2020-11-22_final
2020-11-29 11:44:13	ga_s2bm_ard_3-2-1_51KUP_2020-11-29_final
2021-01-15 11:34:02	ga_s2bm_ard_3-2-1_51KUQ_2021-01-15_final
2021-04-28 11:42:59	ga_s2bm_ard_3-2-1_50KRD_2021-04-28_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
2021-06-17 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
2021-08-09 11:54:23	ga_s2bm_ard_3-2-1_50KNU_2021-08-09_final
2021-10-15 11:44:17	ga_s2bm_ard_3-2-1_51KTP_2021-10-15_final
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
2021-12-01 11:33:58	ga_s2bm_ard_3-2-1_51KUQ_2021-12-01_final
2021-12-04 11:44:05	ga_s2bm_ard_3-2-1_50KPV_2021-12-04_final
2021-12-07 11:53:27	ga_s2bm_ard_3-2-1_50KQB_2021-12-07_final
2022-01-10 11:35:12	ga_s2bm_ard_3-2-1_51JVJ_2022-01-10_final
2022-02-12 11:44:10	ga_s2bm_ard_3-2-1_50KRU_2022-02-12_final
2022-02-22 11:43:24	ga_s2bm_ard_3-2-1_51KTS_2022-02-22_final
2022-05-23 11:43:04	ga_s2bm_ard_3-2-1_50KRD_2022-05-23_final
2022-07-18 12:03:49	ga_s2bm_ard_3-2-1_49KHS_2022-07-18_final.stac-item
2022-11-19 11:44:13	ga_s2bm_ard_3-2-1_51KUP_2022-11-19_final.stac-item
2022-12-06 11:34:00	ga_s2bm_ard_3-2-1_51KUQ_2022-12-06_final.stac-item
2023-01-11 11:53:46	ga_s2bm_ard_3-2-1_50KPA_2023-01-11_final.stac-item
2023-01-21 11:53:15	ga_s2bm_ard_3-2-1_50KQC_2023-01-21_final.stac-item
2023-02-04 11:34:15	ga_s2bm_ard_3-2-1_51KUP_2023-02-04_final.stac-item
2023-04-15 11:37:18	ga_s2bm_ard_3-2-1_50HQG_2023-04-15_final.stac-item
2023-06-13 12:03:49	ga_s2bm_ard_3-2-1_49KHS_2023-06-13_final.stac-item
2023-09-21 12:03:48	ga_s2bm_ard_3-2-1_49KHS_2023-09-21_final.stac-item
2023-12-21 11:34:18	ga_s2bm_ard_3-2-1_51KUP_2023-12-21_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