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
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_49JHN_2017-11-11_final
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_50JLT_2017-12-11_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50HQJ_2018-01-24_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_50HQJ_2018-01-31_final
2018-02-12 12:13:14	ga_s2bm_ard_3-2-1_49KGP_2018-02-12_final
2018-02-27 11:21:10	ga_s2bm_ard_3-2-1_51HXE_2018-02-27_final
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50HLH_2018-03-08_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50KQG_2018-03-28_final.stac-item
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50JKP_2018-03-31_final
2018-06-13 11:43:22	ga_s2bm_ard_3-2-1_50HMK_2018-06-13_final
2018-07-12 12:13:20	ga_s2bm_ard_3-2-1_50KKA_2018-07-12_final
2018-07-20 11:35:23	ga_s2bm_ard_3-2-1_51HUC_2018-07-20_final
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50HNK_2018-08-02_final
2018-08-08 12:04:30	ga_s2bm_ard_3-2-1_50JLN_2018-08-08_final
2018-08-22 11:44:50	ga_s2bm_ard_3-2-1_50JPR_2018-08-22_final
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_50HQH_2018-08-29_final
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51HUC_2018-08-29_final
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50JQN_2018-09-11_final
2018-11-09 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2018-11-09_final
2018-11-16 12:04:43	ga_s2bm_ard_3-2-1_49JGN_2018-11-16_final
2019-01-08 12:13:53	ga_s2bm_ard_3-2-1_50KKA_2019-01-08_final
2019-02-25 11:37:25	ga_s2bm_ard_3-2-1_50HNG_2019-02-25_final.stac-item
2019-03-03 11:53:15	ga_s2bm_ard_3-2-1_50KQC_2019-03-03_final
2019-03-06 12:03:42	ga_s2bm_ard_3-2-1_49KHS_2019-03-06_final.stac-item
2019-04-02 11:56:57	ga_s2bm_ard_3-2-1_50HLJ_2019-04-02_final
2019-04-08 12:13:58	ga_s2bm_ard_3-2-1_50KKA_2019-04-08_final
2019-04-15 12:05:13	ga_s2bm_ard_3-2-1_50JLR_2019-04-15_final
2019-04-25 12:03:30	ga_s2bm_ard_3-2-1_50KMC_2019-04-25_final
2019-06-11 11:56:30	ga_s2bm_ard_3-2-1_50JML_2019-06-11_final
2019-06-18 11:46:45	ga_s2bm_ard_3-2-1_50HNK_2019-06-18_final
2019-07-11 11:57:00	ga_s2bm_ard_3-2-1_50HMJ_2019-07-11_final
2019-07-28 11:47:10	ga_s2bm_ard_3-2-1_50HPH_2019-07-28_final
2019-08-07 11:46:50	ga_s2bm_ard_3-2-1_50HQJ_2019-08-07_final
2019-08-13 12:04:05	ga_s2bm_ard_3-2-1_50KKA_2019-08-13_final
2019-08-13 12:04:38	ga_s2bm_ard_3-2-1_49KGP_2019-08-13_final
2019-08-17 11:47:28	ga_s2bm_ard_3-2-1_50HNG_2019-08-17_final.stac-item
2019-09-16 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2019-09-16_final
2019-09-19 11:55:23	ga_s2bm_ard_3-2-1_50JMQ_2019-09-19_final
2019-10-09 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2019-10-09_final
2019-10-16 11:45:08	ga_s2bm_ard_3-2-1_50JPR_2019-10-16_final
2019-11-24 12:13:51	ga_s2bm_ard_3-2-1_50KKA_2019-11-24_final
2020-01-04 11:46:32	ga_s2bm_ard_3-2-1_50HNK_2020-01-04_final
2020-01-14 11:46:37	ga_s2bm_ard_3-2-1_50HQJ_2020-01-14_final
2020-03-10 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2020-03-10_final
2020-04-06 11:55:17	ga_s2bm_ard_3-2-1_50JNQ_2020-04-06_final
2020-04-20 11:36:23	ga_s2bm_ard_3-2-1_51HUE_2020-04-20_final
2020-05-19 12:03:41	ga_s2bm_ard_3-2-1_50KLB_2020-05-19_final
2020-07-11 12:15:01	ga_s2bm_ard_3-2-1_49JFM_2020-07-11_final
2020-08-01 11:46:51	ga_s2bm_ard_3-2-1_50HPJ_2020-08-01_final
2020-08-01 11:47:09	ga_s2bm_ard_3-2-1_50HNH_2020-08-01_final
2020-11-30 11:16:58	ga_s2bm_ard_3-2-1_51HWC_2020-11-30_final.stac-item
2020-12-29 11:46:41	ga_s2bm_ard_3-2-1_50HQJ_2020-12-29_final
2021-01-11 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2021-01-11_final
2021-01-24 12:04:31	ga_s2bm_ard_3-2-1_49KGP_2021-01-24_final
2021-02-08 11:16:58	ga_s2bm_ard_3-2-1_51HWC_2021-02-08_final.stac-item
2021-02-24 11:36:56	ga_s2bm_ard_3-2-1_51HUC_2021-02-24_final
2021-03-12 11:57:20	ga_s2bm_ard_3-2-1_50HMG_2021-03-12_final.stac-item
2021-03-18 12:13:53	ga_s2bm_ard_3-2-1_50KKA_2021-03-18_final
2021-04-24 12:03:54	ga_s2bm_ard_3-2-1_49KHR_2021-04-24_final
2021-05-11 11:56:09	ga_s2bm_ard_3-2-1_50JLM_2021-05-11_final
2021-05-18 11:46:15	ga_s2bm_ard_3-2-1_50JQL_2021-05-18_final.stac-item
2021-05-18 11:47:02	ga_s2bm_ard_3-2-1_50HPH_2021-05-18_final
2021-05-27 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2021-05-27_final
2021-07-10 11:56:09	ga_s2bm_ard_3-2-1_50JMM_2021-07-10_final
2021-07-17 11:47:04	ga_s2bm_ard_3-2-1_50HPH_2021-07-17_final
2021-09-04 12:14:52	ga_s2bm_ard_3-2-1_49JGM_2021-09-04_final
2021-09-15 11:47:06	ga_s2bm_ard_3-2-1_50HMH_2021-09-15_final
2021-10-31 12:04:44	ga_s2bm_ard_3-2-1_50JKT_2021-10-31_final
2021-11-03 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2021-11-03_final
2021-12-18 11:26:56	ga_s2bm_ard_3-2-1_51HUC_2021-12-18_final
2021-12-20 12:05:09	ga_s2bm_ard_3-2-1_49JGL_2021-12-20_final
2021-12-27 11:53:34	ga_s2bm_ard_3-2-1_50KNB_2021-12-27_final
2022-02-18 12:04:36	ga_s2bm_ard_3-2-1_50JKT_2022-02-18_final
2022-03-04 11:46:40	ga_s2bm_ard_3-2-1_50HQJ_2022-03-04_final
2022-03-31 11:36:28	ga_s2bm_ard_3-2-1_51HTE_2022-03-31_final
2022-04-02 12:14:05	ga_s2bm_ard_3-2-1_49KHQ_2022-04-02_final
2022-05-23 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2022-05-23_final.stac-item
2022-05-26 11:55:42	ga_s2bm_ard_3-2-1_50JLP_2022-05-26_final
2022-06-02 11:46:40	ga_s2bm_ard_3-2-1_50HMK_2022-06-02_final
2022-07-22 11:45:29	ga_s2bm_ard_3-2-1_50JNQ_2022-07-22_final
2022-08-31 11:47:22	ga_s2bm_ard_3-2-1_50HNG_2022-08-31_final.stac-item
2022-09-13 11:54:25	ga_s2bm_ard_3-2-1_50KNU_2022-09-13_final.stac-item
2022-10-20 11:46:12	ga_s2bm_ard_3-2-1_50JMM_2022-10-20_final.stac-item
2022-11-28 12:13:53	ga_s2bm_ard_3-2-1_50KKA_2022-11-28_final.stac-item
2022-11-29 11:46:18	ga_s2bm_ard_3-2-1_50JPL_2022-11-29_final.stac-item
2023-01-14 12:04:21	ga_s2bm_ard_3-2-1_50KLU_2023-01-14_final.stac-item
2023-04-24 12:04:01	ga_s2bm_ard_3-2-1_50KKA_2023-04-24_final.stac-item
2023-04-24 12:04:45	ga_s2bm_ard_3-2-1_50JKT_2023-04-24_final.stac-item
2023-04-25 11:37:03	ga_s2bm_ard_3-2-1_51HTC_2023-04-25_final.stac-item
2023-06-16 12:13:59	ga_s2bm_ard_3-2-1_49KHR_2023-06-16_final.stac-item
2023-06-30 11:55:51	ga_s2bm_ard_3-2-1_50JKP_2023-06-30_final.stac-item
2023-06-30 11:56:16	ga_s2bm_ard_3-2-1_50JLM_2023-06-30_final.stac-item
2023-07-03 12:04:39	ga_s2bm_ard_3-2-1_49KGP_2023-07-03_final.stac-item
2023-08-25 12:14:45	ga_s2bm_ard_3-2-1_49JGN_2023-08-25_final.stac-item
2023-11-01 11:37:00	ga_s2bm_ard_3-2-1_51HUC_2023-11-01_final.stac-item
2023-11-24 11:45:13	ga_s2bm_ard_3-2-1_50JQQ_2023-11-24_final.stac-item
2023-12-10 12:03:16	ga_s2bm_ard_3-2-1_50KNC_2023-12-10_final.stac-item
2024-03-29 12:05:41	ga_s2bm_ard_3-2-1_50JKP_2024-03-29_final.stac-item
2024-03-30 11:37:00	ga_s2bm_ard_3-2-1_51HTC_2024-03-30_final.stac-item
2024-04-19 11:36:27	ga_s2bm_ard_3-2-1_50JPL_2024-04-19_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