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
2017-08-28 11:07:07	ga_s2bm_ard_3-2-1_52LEL_2017-08-28_final.stac-item
2017-10-07 11:06:57	ga_s2bm_ard_3-2-1_52LFM_2017-10-07_final.stac-item
2017-11-13 11:02:45	ga_s2bm_ard_3-2-1_52JFP_2017-11-13_final
2017-12-17 10:37:15	ga_s2bm_ard_3-2-1_53HME_2017-12-17_final
2018-01-21 11:30:33	ga_s2bm_ard_3-2-1_51LZC_2018-01-21_final
2018-02-04 11:07:05	ga_s2bm_ard_3-2-1_52LEJ_2018-02-04_final
2018-03-19 11:26:26	ga_s2bm_ard_3-2-1_51HVD_2018-03-19_final
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_51KXS_2018-05-31_final
2018-07-04 11:07:15	ga_s2bm_ard_3-2-1_52LFN_2018-07-04_final.stac-item
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_51KWQ_2018-07-30_final
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_51KVR_2018-08-09_final
2018-10-02 11:12:46	ga_s2bm_ard_3-2-1_52JBM_2018-10-02_final
2018-10-10 10:32:00	ga_s2bm_ard_3-2-1_53HNE_2018-10-10_final
2018-12-17 11:36:08	ga_s2bm_ard_3-2-1_51JUF_2018-12-17_final
2019-01-02 11:52:17	ga_s2bm_ard_3-2-1_50KQG_2019-01-02_final.stac-item
2019-02-15 11:32:54	ga_s2bm_ard_3-2-1_51KXU_2019-02-15_final
2019-02-25 11:31:19	ga_s2bm_ard_3-2-1_51LZE_2019-02-25_final
2019-03-04 11:23:47	ga_s2bm_ard_3-2-1_51KZQ_2019-03-04_final
2019-03-27 11:33:43	ga_s2bm_ard_3-2-1_51KWR_2019-03-27_final
2019-04-26 11:33:29	ga_s2bm_ard_3-2-1_51KUT_2019-04-26_final
2019-06-25 11:33:32	ga_s2bm_ard_3-2-1_51KXS_2019-06-25_final
2019-08-07 11:41:05	ga_s2bm_ard_3-2-1_51LWG_2019-08-07_final.stac-item
2019-08-19 10:46:04	ga_s2bm_ard_3-2-1_53JKF_2019-08-19_final
2019-08-31 11:27:02	ga_s2bm_ard_3-2-1_51HVC_2019-08-31_final
2019-10-16 11:43:04	ga_s2bm_ard_3-2-1_51KTU_2019-10-16_final
2019-11-06 11:12:54	ga_s2bm_ard_3-2-1_52KFC_2019-11-06_final
2019-12-25 11:43:20	ga_s2bm_ard_3-2-1_51KVS_2019-12-25_final
2020-01-31 11:31:31	ga_s2bm_ard_3-2-1_51LYD_2020-01-31_final
2020-01-31 11:33:45	ga_s2bm_ard_3-2-1_51KXQ_2020-01-31_final
2020-02-09 12:04:55	ga_s2bm_ard_3-2-1_49JGM_2020-02-09_final
2020-03-23 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2020-03-23_final
2020-05-29 10:26:42	ga_s2bm_ard_3-2-1_53HNC_2020-05-29_final
2020-06-02 11:43:06	ga_s2bm_ard_3-2-1_50KRD_2020-06-02_final
2020-06-16 11:23:30	ga_s2bm_ard_3-2-1_51KXS_2020-06-16_final
2020-07-18 12:03:35	ga_s2bm_ard_3-2-1_50KNB_2020-07-18_final
2020-08-08 11:33:48	ga_s2bm_ard_3-2-1_51KVR_2020-08-08_final
2020-09-17 11:33:18	ga_s2bm_ard_3-2-1_51KVT_2020-09-17_final
2020-09-30 11:43:32	ga_s2bm_ard_3-2-1_51KUS_2020-09-30_final
2020-10-11 11:13:58	ga_s2bm_ard_3-2-1_51KZQ_2020-10-11_final
2020-11-20 11:16:41	ga_s2bm_ard_3-2-1_51HXD_2020-11-20_final
2020-12-16 11:33:09	ga_s2bm_ard_3-2-1_51KWT_2020-12-16_final
2021-02-17 11:40:55	ga_s2bm_ard_3-2-1_51LWG_2021-02-17_final.stac-item
2021-04-04 12:03:56	ga_s2bm_ard_3-2-1_50KKA_2021-04-04_final
2021-04-11 11:56:22	ga_s2bm_ard_3-2-1_50JLL_2021-04-11_final
2021-04-15 11:33:30	ga_s2bm_ard_3-2-1_51KUS_2021-04-15_final
2021-04-22 11:26:16	ga_s2bm_ard_3-2-1_51HXE_2021-04-22_final
2021-05-15 11:33:12	ga_s2bm_ard_3-2-1_51KWT_2021-05-15_final
2021-05-28 11:43:12	ga_s2bm_ard_3-2-1_51KVT_2021-05-28_final
2021-06-01 11:23:26	ga_s2bm_ard_3-2-1_51KYS_2021-06-01_final
2021-06-15 11:04:48	ga_s2bm_ard_3-2-1_52JER_2021-06-15_final
2021-07-09 10:46:11	ga_s2bm_ard_3-2-1_53HLE_2021-07-09_final
2021-08-09 11:53:52	ga_s2bm_ard_3-2-1_50KNA_2021-08-09_final
2021-08-26 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2021-08-26_final
2021-09-03 11:01:18	ga_s2bm_ard_3-2-1_52LGK_2021-09-03_final
2021-09-21 10:26:44	ga_s2bm_ard_3-2-1_53HQB_2021-09-21_final
2021-10-22 11:34:12	ga_s2bm_ard_3-2-1_51KWP_2021-10-22_final
2022-01-04 11:13:29	ga_s2bm_ard_3-2-1_52KDA_2022-01-04_final
2022-01-10 11:33:18	ga_s2bm_ard_3-2-1_51KUT_2022-01-10_final
2022-01-18 10:55:00	ga_s2bm_ard_3-2-1_52JFQ_2022-01-18_final
2022-02-02 11:40:52	ga_s2bm_ard_3-2-1_51LWG_2022-02-02_final.stac-item
2022-02-16 11:23:47	ga_s2bm_ard_3-2-1_51KYQ_2022-02-16_final
2022-04-14 11:13:30	ga_s2bm_ard_3-2-1_52KDA_2022-04-14_final
2022-05-13 11:41:31	ga_s2bm_ard_3-2-1_51LUE_2022-05-13_final
2022-05-26 11:56:14	ga_s2bm_ard_3-2-1_50JKM_2022-05-26_final
2022-06-19 11:34:00	ga_s2bm_ard_3-2-1_51KWQ_2022-06-19_final
2022-08-23 10:45:48	ga_s2bm_ard_3-2-1_52JGM_2022-08-23_final
2022-10-10 11:45:23	ga_s2bm_ard_3-2-1_50JNQ_2022-10-10_final.stac-item
2022-11-08 12:14:20	ga_s2bm_ard_3-2-1_49KHP_2022-11-08_final.stac-item
2022-11-10 11:13:39	ga_s2bm_ard_3-2-1_52KDA_2022-11-10_final.stac-item
2022-12-21 10:44:09	ga_s2bm_ard_3-2-1_53JMN_2022-12-21_final.stac-item
2023-01-08 11:41:30	ga_s2bm_ard_3-2-1_51LUE_2023-01-08_final.stac-item
2023-01-28 11:46:13	ga_s2bm_ard_3-2-1_50JQL_2023-01-28_final.stac-item
2023-02-01 11:23:25	ga_s2bm_ard_3-2-1_51KXS_2023-02-01_final.stac-item
2023-02-08 11:10:41	ga_s2bm_ard_3-2-1_52LGM_2023-02-08_final.stac-item
2023-02-24 11:35:48	ga_s2bm_ard_3-2-1_51JTH_2023-02-24_final.stac-item
2023-03-09 11:41:37	ga_s2bm_ard_3-2-1_51LUE_2023-03-09_final.stac-item
2023-06-04 11:33:49	ga_s2bm_ard_3-2-1_51KVR_2023-06-04_final.stac-item
2023-06-23 10:26:50	ga_s2bm_ard_3-2-1_53HQB_2023-06-23_final.stac-item
2023-07-07 11:43:34	ga_s2bm_ard_3-2-1_51KUS_2023-07-07_final.stac-item
2023-07-14 11:33:21	ga_s2bm_ard_3-2-1_51KVT_2023-07-14_final.stac-item
2023-09-06 11:10:48	ga_s2bm_ard_3-2-1_52LGM_2023-09-06_final.stac-item
2023-10-24 10:36:40	ga_s2bm_ard_3-2-1_53HMC_2023-10-24_final.stac-item
2023-10-29 11:23:41	ga_s2bm_ard_3-2-1_51KYR_2023-10-29_final.stac-item
2023-10-30 10:55:44	ga_s2bm_ard_3-2-1_52JGM_2023-10-30_final.stac-item
2023-11-01 11:32:57	ga_s2bm_ard_3-2-1_51KXU_2023-11-01_final.stac-item
2023-12-06 10:45:44	ga_s2bm_ard_3-2-1_52JGM_2023-12-06_final.stac-item
2023-12-11 11:32:11	ga_s2bm_ard_3-2-1_51KWB_2023-12-11_final.stac-item
2024-01-04 11:14:29	ga_s2bm_ard_3-2-1_51JYN_2024-01-04_final.stac-item
2024-01-09 12:03:18	ga_s2bm_ard_3-2-1_50KNC_2024-01-09_final.stac-item
2024-01-14 11:12:52	ga_s2bm_ard_3-2-1_52KFC_2024-01-14_final.stac-item
2024-01-16 11:55:45	ga_s2bm_ard_3-2-1_50JKP_2024-01-16_final.stac-item
2024-01-24 11:11:26	ga_s2bm_ard_3-2-1_52LGJ_2024-01-24_final.stac-item
2024-02-19 11:31:19	ga_s2bm_ard_3-2-1_52LBK_2024-02-19_final.stac-item
2024-02-29 11:33:00	ga_s2bm_ard_3-2-1_51KYT_2024-02-29_final.stac-item
2024-04-02 11:40:56	ga_s2bm_ard_3-2-1_51LWG_2024-04-02_final.stac-item
2024-05-02 11:40:57	ga_s2bm_ard_3-2-1_51LWG_2024-05-02_final.stac-item
2024-05-13 11:13:54	ga_s2bm_ard_3-2-1_51KZQ_2024-05-13_final.stac-item
2024-05-21 12:13:39	ga_s2bm_ard_3-2-1_50KKB_2024-05-21_final.stac-item
2024-05-26 11:22:56	ga_s2bm_ard_3-2-1_51KYU_2024-05-26_final.stac-item
2024-05-26 11:23:10	ga_s2bm_ard_3-2-1_51KYT_2024-05-26_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