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
2017-07-05 11:32:58	ga_s2bm_ard_3-2-1_50JPL_2017-07-05_final
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50JPS_2017-08-27_final
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50JPT_2017-08-27_final
2017-11-16 11:11:48	ga_s2bm_ard_3-2-1_51HWC_2017-11-16_final.stac-item
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50HLH_2017-12-15_final
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50KRD_2018-01-04_final
2018-02-05 10:42:59	ga_s2bm_ard_3-2-1_52HGK_2018-02-05_final.stac-item
2018-02-07 11:16:52	ga_s2bm_ard_3-2-1_52LCK_2018-02-07_final.stac-item
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50HMH_2018-02-16_final
2018-03-09 11:26:31	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
2018-03-19 11:20:54	ga_s2bm_ard_3-2-1_51JUF_2018-03-19_final
2018-03-19 11:26:26	ga_s2bm_ard_3-2-1_51HUD_2018-03-19_final
2018-03-20 10:51:09	ga_s2bm_ard_3-2-1_52JEP_2018-03-20_final
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_50JPL_2018-03-22_final
2018-03-23 11:05:39	ga_s2bm_ard_3-2-1_52HDK_2018-03-23_final.stac-item
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JLN_2018-03-28_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50KMU_2018-03-28_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49JGK_2018-03-31_final
2018-04-02 10:57:12	ga_s2bm_ard_3-2-1_52JCP_2018-04-02_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_50JQP_2018-04-04_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_50JQR_2018-04-04_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50HLH_2018-04-07_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50KMU_2018-04-07_final
2018-04-08 11:16:56	ga_s2bm_ard_3-2-1_51KXT_2018-04-08_final
2018-04-08 11:24:02	ga_s2bm_ard_3-2-1_51HVE_2018-04-08_final
2018-04-10 12:04:57	ga_s2bm_ard_3-2-1_49JGL_2018-04-10_final
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_51KUP_2018-04-11_final
2018-04-11 11:36:20	ga_s2bm_ard_3-2-1_50HPJ_2018-04-11_final
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_50JMM_2018-04-14_final
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_50JNP_2018-04-14_final
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_50JNQ_2018-04-14_final
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_50JQR_2018-04-14_final
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50JNM_2018-04-14_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49JGL_2018-04-20_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_50JLP_2018-04-20_final
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_51KUP_2018-04-21_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JQN_2018-04-24_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JQS_2018-04-24_final
2018-07-10 11:37:12	ga_s2bm_ard_3-2-1_50HPG_2018-07-10_final.stac-item
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_50HQH_2018-08-09_final
2018-08-23 11:12:48	ga_s2bm_ard_3-2-1_51HWC_2018-08-23_final.stac-item
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51LYE_2018-08-29_final
2018-09-14 11:52:51	ga_s2bm_ard_3-2-1_50KQD_2018-09-14_final.stac-item
2019-04-10 11:17:03	ga_s2bm_ard_3-2-1_51HWC_2019-04-10_final.stac-item
2019-04-22 11:57:27	ga_s2bm_ard_3-2-1_50HMG_2019-04-22_final.stac-item
2019-04-26 11:31:31	ga_s2bm_ard_3-2-1_51LYE_2019-04-26_final
2019-05-10 11:17:07	ga_s2bm_ard_3-2-1_51HWC_2019-05-10_final.stac-item
2019-05-13 11:23:19	ga_s2bm_ard_3-2-1_51KYT_2019-05-13_final
2019-05-19 11:45:01	ga_s2bm_ard_3-2-1_50JPS_2019-05-19_final
2019-05-22 11:55:21	ga_s2bm_ard_3-2-1_50JLR_2019-05-22_final
2019-05-22 11:55:36	ga_s2bm_ard_3-2-1_50JLQ_2019-05-22_final
2019-05-22 11:56:05	ga_s2bm_ard_3-2-1_50JLN_2019-05-22_final
2019-05-26 11:36:35	ga_s2bm_ard_3-2-1_50JPL_2019-05-26_final
2019-05-28 12:13:48	ga_s2bm_ard_3-2-1_49KHS_2019-05-28_final.stac-item
2019-05-29 11:43:12	ga_s2bm_ard_3-2-1_50KRD_2019-05-29_final
2019-06-01 11:55:55	ga_s2bm_ard_3-2-1_50JKP_2019-06-01_final
2019-06-01 11:57:31	ga_s2bm_ard_3-2-1_50HLG_2019-06-01_final.stac-item
2019-06-02 11:23:18	ga_s2bm_ard_3-2-1_51KYT_2019-06-02_final
2019-07-06 11:06:30	ga_s2bm_ard_3-2-1_52HCK_2019-07-06_final.stac-item
2019-07-29 11:17:07	ga_s2bm_ard_3-2-1_51HWC_2019-07-29_final.stac-item
2019-08-10 11:53:10	ga_s2bm_ard_3-2-1_50KQD_2019-08-10_final.stac-item
2019-10-28 10:46:16	ga_s2bm_ard_3-2-1_52HGK_2019-10-28_final.stac-item
2020-04-16 11:57:19	ga_s2bm_ard_3-2-1_50HLG_2020-04-16_final.stac-item
2020-04-23 11:46:42	ga_s2bm_ard_3-2-1_50HMK_2020-04-23_final
2020-08-03 10:46:18	ga_s2bm_ard_3-2-1_52HGK_2020-08-03_final.stac-item
2020-10-23 11:54:40	ga_s2bm_ard_3-2-1_50JLT_2020-10-23_final
2020-11-23 11:21:18	ga_s2bm_ard_3-2-1_52LCK_2020-11-23_final.stac-item
2021-01-09 11:16:58	ga_s2bm_ard_3-2-1_51HWC_2021-01-09_final.stac-item
2021-01-18 11:45:03	ga_s2bm_ard_3-2-1_50JQR_2021-01-18_final
2021-02-24 11:31:22	ga_s2bm_ard_3-2-1_51LYE_2021-02-24_final
2021-03-09 11:43:24	ga_s2bm_ard_3-2-1_51KVS_2021-03-09_final
2021-04-28 11:47:20	ga_s2bm_ard_3-2-1_50HMG_2021-04-28_final.stac-item
2021-05-06 11:06:18	ga_s2bm_ard_3-2-1_52HCK_2021-05-06_final.stac-item
2021-05-28 11:47:25	ga_s2bm_ard_3-2-1_50HMG_2021-05-28_final.stac-item
2021-06-28 11:16:59	ga_s2bm_ard_3-2-1_51HWC_2021-06-28_final.stac-item
2021-07-11 11:23:15	ga_s2bm_ard_3-2-1_51KXT_2021-07-11_final
2021-08-16 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2021-08-16_final.stac-item
2021-08-22 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2021-08-22_final
2021-08-23 11:33:29	ga_s2bm_ard_3-2-1_51KVS_2021-08-23_final
2021-09-02 11:33:27	ga_s2bm_ard_3-2-1_51KVS_2021-09-02_final
2021-09-25 11:42:15	ga_s2bm_ard_3-2-1_51KUB_2021-09-25_final.stac-item
2021-10-29 11:21:22	ga_s2bm_ard_3-2-1_52LCK_2021-10-29_final.stac-item
2021-12-07 11:55:37	ga_s2bm_ard_3-2-1_50JLP_2021-12-07_final
2021-12-07 11:55:41	ga_s2bm_ard_3-2-1_50JKP_2021-12-07_final
2021-12-11 11:31:19	ga_s2bm_ard_3-2-1_51LYE_2021-12-11_final
2021-12-31 11:31:20	ga_s2bm_ard_3-2-1_51LYE_2021-12-31_final
2022-02-12 11:42:57	ga_s2bm_ard_3-2-1_51KTU_2022-02-12_final
2022-03-14 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2022-03-14_final.stac-item
2022-07-06 11:23:15	ga_s2bm_ard_3-2-1_51KYT_2022-07-06_final
2022-09-01 11:17:00	ga_s2bm_ard_3-2-1_51HWC_2022-09-01_final.stac-item
2022-11-26 11:31:23	ga_s2bm_ard_3-2-1_51LYE_2022-11-26_final.stac-item
2022-12-06 11:31:21	ga_s2bm_ard_3-2-1_51LYE_2022-12-06_final.stac-item
2023-02-04 11:34:13	ga_s2bm_ard_3-2-1_51JXN_2023-02-04_final.stac-item
2023-03-19 11:41:22	ga_s2bm_ard_3-2-1_51LUF_2023-03-19_final.stac-item
2023-04-12 11:23:22	ga_s2bm_ard_3-2-1_52KBB_2023-04-12_final.stac-item
2023-04-25 11:31:26	ga_s2bm_ard_3-2-1_51LYE_2023-04-25_final.stac-item
2023-07-10 11:57:14	ga_s2bm_ard_3-2-1_50HLH_2023-07-10_final.stac-item
2023-08-07 11:17:00	ga_s2bm_ard_3-2-1_51HXC_2023-08-07_final.stac-item
2023-11-10 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2023-11-10_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