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
2017-12-02 11:34:20	ga_s2bm_ard_3-2-1_50HQG_2017-12-02_final.stac-item
2017-12-13 10:57:04	ga_s2bm_ard_3-2-1_52KHF_2017-12-13_final
2018-01-03 12:13:12	ga_s2bm_ard_3-2-1_49JGM_2018-01-03_final
2018-01-21 11:30:33	ga_s2bm_ard_3-2-1_51KXU_2018-01-21_final
2018-01-27 11:50:39	ga_s2bm_ard_3-2-1_50KNC_2018-01-27_final
2018-02-10 11:30:33	ga_s2bm_ard_3-2-1_51KXR_2018-02-10_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_50JLN_2018-03-01_final
2018-03-12 11:29:59	ga_s2bm_ard_3-2-1_51KVQ_2018-03-12_final
2018-03-19 11:20:54	ga_s2bm_ard_3-2-1_51KXT_2018-03-19_final
2018-04-01 11:35:24	ga_s2bm_ard_3-2-1_50HQJ_2018-04-01_final
2018-05-24 11:37:57	ga_s2bm_ard_3-2-1_51LUE_2018-05-24_final
2018-06-20 11:26:19	ga_s2bm_ard_3-2-1_51KXR_2018-06-20_final
2018-06-23 11:43:22	ga_s2bm_ard_3-2-1_50HPJ_2018-06-23_final
2018-07-07 11:21:54	ga_s2bm_ard_3-2-1_51KXQ_2018-07-07_final
2018-08-25 11:52:52	ga_s2bm_ard_3-2-1_50HLJ_2018-08-25_final
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51KXR_2018-08-29_final
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50JLN_2018-09-04_final
2018-10-02 11:12:46	ga_s2bm_ard_3-2-1_52KDV_2018-10-02_final
2019-01-02 11:56:38	ga_s2bm_ard_3-2-1_50HLK_2019-01-02_final
2019-01-13 11:23:09	ga_s2bm_ard_3-2-1_51KYT_2019-01-13_final
2019-03-10 11:42:07	ga_s2bm_ard_3-2-1_51KWB_2019-03-10_final
2019-03-17 11:32:13	ga_s2bm_ard_3-2-1_51KWB_2019-03-17_final
2019-04-15 12:05:24	ga_s2bm_ard_3-2-1_50JKR_2019-04-15_final
2019-04-23 11:23:31	ga_s2bm_ard_3-2-1_51KYS_2019-04-23_final
2019-06-12 11:24:04	ga_s2bm_ard_3-2-1_51KXQ_2019-06-12_final
2019-07-07 12:15:08	ga_s2bm_ard_3-2-1_49JFM_2019-07-07_final
2019-09-23 11:33:41	ga_s2bm_ard_3-2-1_51KWR_2019-09-23_final
2019-10-20 11:23:44	ga_s2bm_ard_3-2-1_51KXR_2019-10-20_final
2019-12-09 11:24:17	ga_s2bm_ard_3-2-1_51JYN_2019-12-09_final
2020-01-09 10:55:26	ga_s2bm_ard_3-2-1_52JFN_2020-01-09_final
2020-01-19 10:53:22	ga_s2bm_ard_3-2-1_52KHA_2020-01-19_final
2020-01-25 11:13:15	ga_s2bm_ard_3-2-1_52KCB_2020-01-25_final
2020-02-07 11:24:02	ga_s2bm_ard_3-2-1_51KYP_2020-02-07_final
2020-02-14 11:13:29	ga_s2bm_ard_3-2-1_52KDA_2020-02-14_final
2020-02-20 11:32:16	ga_s2bm_ard_3-2-1_51KVB_2020-02-20_final
2020-02-23 11:43:18	ga_s2bm_ard_3-2-1_50KQC_2020-02-23_final
2020-03-09 10:53:59	ga_s2bm_ard_3-2-1_52KGU_2020-03-09_final
2020-03-15 11:14:07	ga_s2bm_ard_3-2-1_51KZP_2020-03-15_final
2020-03-31 11:33:06	ga_s2bm_ard_3-2-1_51KXT_2020-03-31_final
2020-04-23 11:41:53	ga_s2bm_ard_3-2-1_51LVC_2020-04-23_final
2020-04-24 11:14:03	ga_s2bm_ard_3-2-1_51KZP_2020-04-24_final
2020-05-29 12:03:45	ga_s2bm_ard_3-2-1_50KKB_2020-05-29_final
2020-06-12 11:45:49	ga_s2bm_ard_3-2-1_50JQN_2020-06-12_final
2020-08-11 11:45:45	ga_s2bm_ard_3-2-1_50JQN_2020-08-11_final
2020-08-25 11:23:31	ga_s2bm_ard_3-2-1_51KXS_2020-08-25_final
2020-10-31 11:15:45	ga_s2bm_ard_3-2-1_51JXH_2020-10-31_final
2020-11-29 11:44:16	ga_s2bm_ard_3-2-1_51KTP_2020-11-29_final
2020-12-13 11:26:58	ga_s2bm_ard_3-2-1_51HUC_2020-12-13_final
2020-12-25 12:03:56	ga_s2bm_ard_3-2-1_50KKA_2020-12-25_final
2021-02-27 11:47:05	ga_s2bm_ard_3-2-1_50HNH_2021-02-27_final
2021-03-06 11:31:56	ga_s2bm_ard_3-2-1_51LXC_2021-03-06_final
2021-04-16 11:03:41	ga_s2bm_ard_3-2-1_52KFV_2021-04-16_final
2021-05-03 10:55:24	ga_s2bm_ard_3-2-1_52JGN_2021-05-03_final
2021-05-12 11:23:48	ga_s2bm_ard_3-2-1_52KBV_2021-05-12_final
2021-05-24 12:05:38	ga_s2bm_ard_3-2-1_50JLP_2021-05-24_final
2021-05-28 11:47:03	ga_s2bm_ard_3-2-1_50HPH_2021-05-28_final
2021-06-10 11:54:01	ga_s2bm_ard_3-2-1_50KNA_2021-06-10_final
2021-06-21 11:22:24	ga_s2bm_ard_3-2-1_51KZA_2021-06-21_final
2021-07-14 11:33:47	ga_s2bm_ard_3-2-1_51KVR_2021-07-14_final
2021-08-07 11:14:24	ga_s2bm_ard_3-2-1_51JZN_2021-08-07_final
2021-12-28 11:23:45	ga_s2bm_ard_3-2-1_52KBV_2021-12-28_final
2022-01-17 11:22:44	ga_s2bm_ard_3-2-1_52KCD_2022-01-17_final
2022-02-06 11:22:21	ga_s2bm_ard_3-2-1_51KYA_2022-02-06_final
2022-05-20 11:35:56	ga_s2bm_ard_3-2-1_51JVG_2022-05-20_final
2022-06-11 12:14:44	ga_s2bm_ard_3-2-1_49JGN_2022-06-11_final
2022-07-17 10:55:21	ga_s2bm_ard_3-2-1_52JFP_2022-07-17_final
2022-08-14 11:53:20	ga_s2bm_ard_3-2-1_50KQC_2022-08-14_final
2022-08-14 11:56:11	ga_s2bm_ard_3-2-1_50JMM_2022-08-14_final
2022-08-25 11:22:48	ga_s2bm_ard_3-2-1_52KCD_2022-08-25_final
2022-08-27 12:04:46	ga_s2bm_ard_3-2-1_49JHN_2022-08-27_final
2022-10-10 11:41:57	ga_s2bm_ard_3-2-1_51LVC_2022-10-10_final.stac-item
2022-11-05 12:03:42	ga_s2bm_ard_3-2-1_50KKB_2022-11-05_final.stac-item
2022-11-08 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2022-11-08_final.stac-item
2022-11-13 11:23:42	ga_s2bm_ard_3-2-1_51KXR_2022-11-13_final.stac-item
2022-11-19 11:43:47	ga_s2bm_ard_3-2-1_50KRA_2022-11-19_final.stac-item
2022-12-25 12:03:23	ga_s2bm_ard_3-2-1_50KMC_2022-12-25_final.stac-item
2022-12-26 11:32:51	ga_s2bm_ard_3-2-1_51KXU_2022-12-26_final.stac-item
2022-12-29 11:43:03	ga_s2bm_ard_3-2-1_50KRD_2022-12-29_final.stac-item
2023-02-11 11:24:07	ga_s2bm_ard_3-2-1_51KYP_2023-02-11_final.stac-item
2023-03-01 10:45:48	ga_s2bm_ard_3-2-1_52JGM_2023-03-01_final.stac-item
2023-04-28 11:44:18	ga_s2bm_ard_3-2-1_50KRU_2023-04-28_final.stac-item
2023-05-22 11:24:09	ga_s2bm_ard_3-2-1_51KZP_2023-05-22_final.stac-item
2023-05-25 11:36:33	ga_s2bm_ard_3-2-1_51HUE_2023-05-25_final.stac-item
2023-05-31 11:53:25	ga_s2bm_ard_3-2-1_50KPC_2023-05-31_final.stac-item
2023-06-02 10:54:25	ga_s2bm_ard_3-2-1_52JFT_2023-06-02_final.stac-item
2023-06-06 12:14:17	ga_s2bm_ard_3-2-1_49KGQ_2023-06-06_final.stac-item
2023-07-07 11:46:43	ga_s2bm_ard_3-2-1_50HNK_2023-07-07_final.stac-item
2023-07-26 12:14:00	ga_s2bm_ard_3-2-1_49KHR_2023-07-26_final.stac-item
2023-08-07 11:13:53	ga_s2bm_ard_3-2-1_52KDV_2023-08-07_final.stac-item
2023-08-12 12:04:19	ga_s2bm_ard_3-2-1_49KHQ_2023-08-12_final.stac-item
2023-08-27 11:13:49	ga_s2bm_ard_3-2-1_52KEV_2023-08-27_final.stac-item
2023-09-05 11:41:02	ga_s2bm_ard_3-2-1_51LWG_2023-09-05_final.stac-item
2023-09-26 11:13:29	ga_s2bm_ard_3-2-1_52KBB_2023-09-26_final.stac-item
2023-10-23 11:03:21	ga_s2bm_ard_3-2-1_52KEB_2023-10-23_final.stac-item
2023-11-08 11:24:04	ga_s2bm_ard_3-2-1_51KWQ_2023-11-08_final.stac-item
2024-01-14 11:12:52	ga_s2bm_ard_3-2-1_52KFC_2024-01-14_final.stac-item
2024-02-26 11:25:45	ga_s2bm_ard_3-2-1_51JVH_2024-02-26_final.stac-item
2024-03-07 11:23:01	ga_s2bm_ard_3-2-1_52KBC_2024-03-07_final.stac-item
2024-03-12 12:13:51	ga_s2bm_ard_3-2-1_50KKA_2024-03-12_final.stac-item
2024-04-02 11:42:08	ga_s2bm_ard_3-2-1_51KWB_2024-04-02_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