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
2017-07-21 11:56:07	ga_s2bm_ard_3-2-1_50JNL_2017-07-21_final
2017-08-07 11:45:07	ga_s2bm_ard_3-2-1_50HMJ_2017-08-07_final
2017-08-30 11:56:02	ga_s2bm_ard_3-2-1_50JLL_2017-08-30_final
2017-09-05 12:14:35	ga_s2bm_ard_3-2-1_49JFM_2017-09-05_final
2017-11-06 11:13:39	ga_s2bm_ard_3-2-1_51JYL_2017-11-06_final
2017-11-06 11:13:39	ga_s2bm_ard_3-2-1_52KBU_2017-11-06_final
2017-12-13 10:57:04	ga_s2bm_ard_3-2-1_52JFS_2017-12-13_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51KYB_2018-01-11_final
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50KNU_2018-01-17_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51KYU_2018-01-31_final
2018-02-01 11:02:52	ga_s2bm_ard_3-2-1_52JGT_2018-02-01_final
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50JLN_2018-02-26_final
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_50HPK_2018-03-15_final
2018-03-29 11:17:27	ga_s2bm_ard_3-2-1_51KZU_2018-03-29_final
2018-04-17 11:56:30	ga_s2bm_ard_3-2-1_50HLH_2018-04-17_final
2018-07-28 10:49:53	ga_s2bm_ard_3-2-1_52JFT_2018-07-28_final
2018-08-23 11:12:48	ga_s2bm_ard_3-2-1_51JYG_2018-08-23_final
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51KWR_2018-08-29_final
2018-09-19 11:04:43	ga_s2bm_ard_3-2-1_52JDM_2018-09-19_final
2018-11-01 11:14:12	ga_s2bm_ard_3-2-1_52HBK_2018-11-01_final
2018-11-07 11:31:18	ga_s2bm_ard_3-2-1_51LZE_2018-11-07_final
2018-12-23 11:55:45	ga_s2bm_ard_3-2-1_50JNN_2018-12-23_final
2019-01-16 11:34:46	ga_s2bm_ard_3-2-1_51JUM_2019-01-16_final
2019-04-12 11:55:07	ga_s2bm_ard_3-2-1_50JPR_2019-04-12_final
2019-08-14 11:35:19	ga_s2bm_ard_3-2-1_51JVK_2019-08-14_final
2019-09-03 11:37:10	ga_s2bm_ard_3-2-1_50HPH_2019-09-03_final
2019-12-22 11:33:25	ga_s2bm_ard_3-2-1_51KVS_2019-12-22_final
2020-01-05 11:14:33	ga_s2bm_ard_3-2-1_52JBS_2020-01-05_final
2020-03-01 11:36:46	ga_s2bm_ard_3-2-1_50HQJ_2020-03-01_final
2020-03-07 11:56:20	ga_s2bm_ard_3-2-1_50JML_2020-03-07_final
2020-04-23 11:43:09	ga_s2bm_ard_3-2-1_51KUT_2020-04-23_final
2020-05-27 11:23:51	ga_s2bm_ard_3-2-1_52KBV_2020-05-27_final
2020-05-30 11:33:32	ga_s2bm_ard_3-2-1_51KVS_2020-05-30_final
2020-06-02 11:44:32	ga_s2bm_ard_3-2-1_50JRT_2020-06-02_final
2020-06-13 11:13:12	ga_s2bm_ard_3-2-1_52KEB_2020-06-13_final
2020-07-06 11:23:08	ga_s2bm_ard_3-2-1_52KBC_2020-07-06_final
2020-08-27 12:04:51	ga_s2bm_ard_3-2-1_49JHM_2020-08-27_final
2020-10-04 11:23:46	ga_s2bm_ard_3-2-1_51KXR_2020-10-04_final
2020-10-05 10:55:45	ga_s2bm_ard_3-2-1_52JGM_2020-10-05_final
2020-11-20 11:13:05	ga_s2bm_ard_3-2-1_52KDC_2020-11-20_final
2020-11-29 11:43:29	ga_s2bm_ard_3-2-1_51KUS_2020-11-29_final
2020-11-30 11:14:34	ga_s2bm_ard_3-2-1_52JCS_2020-11-30_final
2020-12-10 11:14:21	ga_s2bm_ard_3-2-1_51JZN_2020-12-10_final
2020-12-20 11:12:13	ga_s2bm_ard_3-2-1_52KEF_2020-12-20_final
2020-12-26 11:36:55	ga_s2bm_ard_3-2-1_51HUC_2020-12-26_final
2021-01-05 11:33:40	ga_s2bm_ard_3-2-1_51KWR_2021-01-05_final
2021-01-12 11:23:28	ga_s2bm_ard_3-2-1_51KXS_2021-01-12_final
2021-01-22 11:23:49	ga_s2bm_ard_3-2-1_52KBV_2021-01-22_final
2021-01-22 11:23:54	ga_s2bm_ard_3-2-1_51KYQ_2021-01-22_final
2021-02-04 11:35:18	ga_s2bm_ard_3-2-1_51JTK_2021-02-04_final
2021-02-11 11:25:41	ga_s2bm_ard_3-2-1_51JWH_2021-02-11_final
2021-03-20 11:14:08	ga_s2bm_ard_3-2-1_51KZP_2021-03-20_final
2021-05-04 12:04:28	ga_s2bm_ard_3-2-1_49KGP_2021-05-04_final
2021-05-28 11:46:13	ga_s2bm_ard_3-2-1_50JMM_2021-05-28_final
2021-07-20 11:56:38	ga_s2bm_ard_3-2-1_50HMK_2021-07-20_final
2021-08-10 11:26:19	ga_s2bm_ard_3-2-1_51JUF_2021-08-10_final
2021-10-09 11:23:36	ga_s2bm_ard_3-2-1_51KZR_2021-10-09_final
2021-10-22 11:36:19	ga_s2bm_ard_3-2-1_51JTF_2021-10-22_final
2021-11-17 11:56:12	ga_s2bm_ard_3-2-1_50JKM_2021-11-17_final
2021-11-22 11:05:05	ga_s2bm_ard_3-2-1_52JCQ_2021-11-22_final
2021-12-25 11:13:35	ga_s2bm_ard_3-2-1_51KZR_2021-12-25_final
2022-01-17 11:26:25	ga_s2bm_ard_3-2-1_51HVE_2022-01-17_final
2022-02-03 11:16:35	ga_s2bm_ard_3-2-1_51HXD_2022-02-03_final
2022-02-18 12:03:38	ga_s2bm_ard_3-2-1_50KKB_2022-02-18_final
2022-03-20 12:06:04	ga_s2bm_ard_3-2-1_50JKM_2022-03-20_final
2022-05-19 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2022-05-19_final
2022-05-23 11:44:02	ga_s2bm_ard_3-2-1_50KRV_2022-05-23_final
2022-06-10 11:03:37	ga_s2bm_ard_3-2-1_52KEA_2022-06-10_final
2022-06-13 11:13:57	ga_s2bm_ard_3-2-1_51KZQ_2022-06-13_final
2022-06-16 11:25:49	ga_s2bm_ard_3-2-1_51JVH_2022-06-16_final
2022-07-16 11:26:52	ga_s2bm_ard_3-2-1_51HUD_2022-07-16_final
2022-07-29 11:35:20	ga_s2bm_ard_3-2-1_51JUK_2022-07-29_final
2022-09-30 11:45:03	ga_s2bm_ard_3-2-1_50JQR_2022-09-30_final.stac-item
2022-11-17 11:06:06	ga_s2bm_ard_3-2-1_52JCL_2022-11-17_final.stac-item
2022-12-12 11:57:10	ga_s2bm_ard_3-2-1_50HKH_2022-12-12_nrt.stac-item
2022-12-15 12:06:08	ga_s2bm_ard_3-2-1_50JKM_2022-12-15_final.stac-item
2022-12-20 11:13:14	ga_s2bm_ard_3-2-1_52KEB_2022-12-20_final.stac-item
2022-12-30 11:12:31	ga_s2bm_ard_3-2-1_52KEE_2022-12-30_final.stac-item
2023-01-02 11:22:51	ga_s2bm_ard_3-2-1_51KZU_2023-01-02_final.stac-item
2023-02-01 11:22:45	ga_s2bm_ard_3-2-1_52KCD_2023-02-01_final.stac-item
2023-02-16 12:13:59	ga_s2bm_ard_3-2-1_49KFR_2023-02-16_nrt.stac-item
2023-02-21 11:21:39	ga_s2bm_ard_3-2-1_51LZD_2023-02-21_final.stac-item
2023-02-24 11:31:21	ga_s2bm_ard_3-2-1_51LZE_2023-02-24_final.stac-item
2023-02-25 11:04:04	ga_s2bm_ard_3-2-1_52KEU_2023-02-25_final.stac-item
2023-02-27 11:46:27	ga_s2bm_ard_3-2-1_50JML_2023-02-27_final.stac-item
2023-03-29 11:43:15	ga_s2bm_ard_3-2-1_51KVT_2023-03-29_final.stac-item
2023-03-29 11:44:16	ga_s2bm_ard_3-2-1_51KUP_2023-03-29_final.stac-item
2023-04-01 11:56:17	ga_s2bm_ard_3-2-1_50JKM_2023-04-01_final.stac-item
2023-04-09 11:16:39	ga_s2bm_ard_3-2-1_51HYD_2023-04-09_final.stac-item
2023-07-11 11:24:02	ga_s2bm_ard_3-2-1_51KXQ_2023-07-11_final.stac-item
2023-07-30 11:56:16	ga_s2bm_ard_3-2-1_50JLM_2023-07-30_final.stac-item
2023-09-05 11:47:00	ga_s2bm_ard_3-2-1_50HMJ_2023-09-05_final.stac-item
2023-09-14 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2023-09-14_final.stac-item
2023-09-26 11:14:00	ga_s2bm_ard_3-2-1_52KEU_2023-09-26_final.stac-item
2024-01-14 11:12:30	ga_s2bm_ard_3-2-1_52KEE_2024-01-14_final.stac-item
2024-01-20 11:31:59	ga_s2bm_ard_3-2-1_51LWC_2024-01-20_final.stac-item
2024-01-20 11:32:21	ga_s2bm_ard_3-2-1_51KYA_2024-01-20_final.stac-item
2024-02-19 11:33:24	ga_s2bm_ard_3-2-1_51KXS_2024-02-19_final.stac-item
2024-03-04 11:12:57	ga_s2bm_ard_3-2-1_52KEC_2024-03-04_final.stac-item
2024-03-23 11:46:57	ga_s2bm_ard_3-2-1_50HPH_2024-03-23_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