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
2017-07-29 11:12:14	ga_s2bm_ard_3-2-1_52KBV_2017-07-29_final
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50JPN_2017-09-16_final
2017-09-19 11:55:56	ga_s2bm_ard_3-2-1_50HNK_2017-09-19_final
2017-09-24 11:01:57	ga_s2bm_ard_3-2-1_52KGE_2017-09-24_final
2017-09-30 11:16:43	ga_s2bm_ard_3-2-1_51LZD_2017-09-30_final
2017-10-03 11:35:48	ga_s2bm_ard_3-2-1_51JTF_2017-10-03_final
2017-10-03 11:35:48	ga_s2bm_ard_3-2-1_51JUF_2017-10-03_final
2017-10-03 11:35:52	ga_s2bm_ard_3-2-1_51JUF_2017-10-03_final
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_50HMJ_2017-10-06_final
2018-01-01 11:30:30	ga_s2bm_ard_3-2-1_51JVF_2018-01-01_final
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50HMJ_2018-01-04_final
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_51LWG_2018-01-04_final.stac-item
2018-04-27 11:54:58	ga_s2bm_ard_3-2-1_50HLJ_2018-04-27_final
2018-05-01 11:27:31	ga_s2bm_ard_3-2-1_51KWB_2018-05-01_final
2018-05-01 11:27:31	ga_s2bm_ard_3-2-1_51KYT_2018-05-01_final
2018-05-04 11:43:41	ga_s2bm_ard_3-2-1_50HQK_2018-05-04_final
2018-05-05 11:13:23	ga_s2bm_ard_3-2-1_51HWD_2018-05-05_final
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50JLR_2018-05-07_final
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50JNL_2018-05-07_final
2018-05-08 11:24:04	ga_s2bm_ard_3-2-1_51HVE_2018-05-08_final
2018-05-09 10:47:23	ga_s2bm_ard_3-2-1_52KHF_2018-05-09_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51HUE_2018-05-11_final
2018-05-12 11:01:55	ga_s2bm_ard_3-2-1_52KGE_2018-05-12_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51KYU_2018-05-18_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51KZS_2018-05-18_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_52KCA_2018-05-18_final
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_51LWC_2018-05-21_final
2018-05-25 11:09:09	ga_s2bm_ard_3-2-1_52KEU_2018-05-25_final
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_51KWT_2018-05-31_final
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_51KXS_2018-05-31_final
2018-06-03 11:40:10	ga_s2bm_ard_3-2-1_51LUE_2018-06-03_final
2018-06-04 11:12:12	ga_s2bm_ard_3-2-1_52KCA_2018-06-04_final
2018-06-04 11:12:12	ga_s2bm_ard_3-2-1_52KDB_2018-06-04_final
2018-06-08 10:47:22	ga_s2bm_ard_3-2-1_52KHF_2018-06-08_final
2018-06-27 11:19:19	ga_s2bm_ard_3-2-1_51KXT_2018-06-27_final
2018-12-30 11:47:07	ga_s2bm_ard_3-2-1_50HMH_2018-12-30_final
2019-05-16 11:36:35	ga_s2bm_ard_3-2-1_50JPL_2019-05-16_final
2019-06-22 11:23:33	ga_s2bm_ard_3-2-1_51KYS_2019-06-22_final
2019-07-29 11:13:47	ga_s2bm_ard_3-2-1_52KBA_2019-07-29_final
2019-08-01 11:23:36	ga_s2bm_ard_3-2-1_51KXS_2019-08-01_final
2019-11-15 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2019-11-15_final
2020-01-14 11:40:52	ga_s2bm_ard_3-2-1_51LWG_2020-01-14_final.stac-item
2020-01-19 10:52:25	ga_s2bm_ard_3-2-1_52KHE_2020-01-19_final
2020-01-28 11:26:10	ga_s2bm_ard_3-2-1_51JVF_2020-01-28_final
2020-02-03 11:40:51	ga_s2bm_ard_3-2-1_51LWG_2020-02-03_final.stac-item
2020-02-06 11:56:45	ga_s2bm_ard_3-2-1_50HMJ_2020-02-06_final
2020-02-20 11:36:10	ga_s2bm_ard_3-2-1_51JVF_2020-02-20_final
2020-02-27 11:26:09	ga_s2bm_ard_3-2-1_51JVF_2020-02-27_final
2020-06-17 10:52:33	ga_s2bm_ard_3-2-1_52KHE_2020-06-17_final
2020-07-06 11:23:15	ga_s2bm_ard_3-2-1_51KXT_2020-07-06_final
2020-07-12 11:41:20	ga_s2bm_ard_3-2-1_51LUF_2020-07-12_final
2020-08-06 10:55:16	ga_s2bm_ard_3-2-1_52JGP_2020-08-06_final
2020-08-12 11:16:44	ga_s2bm_ard_3-2-1_51HXD_2020-08-12_final
2020-12-29 11:47:12	ga_s2bm_ard_3-2-1_50HLH_2020-12-29_final
2021-06-02 10:52:32	ga_s2bm_ard_3-2-1_52KHE_2021-06-02_final
2021-07-17 11:41:20	ga_s2bm_ard_3-2-1_51LUF_2021-07-17_final
2021-11-14 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2021-11-14_final
2021-12-24 11:41:28	ga_s2bm_ard_3-2-1_51LUE_2021-12-24_final
2022-02-22 11:41:13	ga_s2bm_ard_3-2-1_51LUF_2022-02-22_final
2022-02-22 11:47:09	ga_s2bm_ard_3-2-1_50HLH_2022-02-22_final
2022-04-08 10:56:01	ga_s2bm_ard_3-2-1_52JEL_2022-04-08_final
2022-06-02 11:40:57	ga_s2bm_ard_3-2-1_51LWG_2022-06-02_final.stac-item
2022-06-12 11:41:00	ga_s2bm_ard_3-2-1_51LWG_2022-06-12_final.stac-item
2022-07-23 11:13:45	ga_s2bm_ard_3-2-1_51KZR_2022-07-23_final
2022-07-26 11:23:26	ga_s2bm_ard_3-2-1_51KZS_2022-07-26_final
2022-11-22 11:52:19	ga_s2bm_ard_3-2-1_50KQG_2022-11-22_final.stac-item
2022-12-22 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2022-12-22_final.stac-item
2022-12-29 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2022-12-29_final.stac-item
2023-04-02 11:24:08	ga_s2bm_ard_3-2-1_52KBU_2023-04-02_final.stac-item
2023-04-12 11:21:55	ga_s2bm_ard_3-2-1_51LZC_2023-04-12_final.stac-item
2023-05-05 11:34:18	ga_s2bm_ard_3-2-1_51JXN_2023-05-05_final.stac-item
2023-05-06 11:02:28	ga_s2bm_ard_3-2-1_52KHE_2023-05-06_final.stac-item
2023-05-16 11:02:30	ga_s2bm_ard_3-2-1_52KHE_2023-05-16_final.stac-item
2023-06-01 11:23:32	ga_s2bm_ard_3-2-1_51KXS_2023-06-01_final.stac-item
2023-06-05 11:02:30	ga_s2bm_ard_3-2-1_52KHE_2023-06-05_final.stac-item
2023-06-10 11:56:19	ga_s2bm_ard_3-2-1_50JKM_2023-06-10_final.stac-item
2023-07-08 11:13:42	ga_s2bm_ard_3-2-1_52KCA_2023-07-08_final.stac-item
2023-07-11 11:23:01	ga_s2bm_ard_3-2-1_51KYU_2023-07-11_final.stac-item
2023-07-11 11:23:05	ga_s2bm_ard_3-2-1_51KXU_2023-07-11_final.stac-item
2023-07-11 11:23:30	ga_s2bm_ard_3-2-1_51KYS_2023-07-11_final.stac-item
2023-07-11 11:23:32	ga_s2bm_ard_3-2-1_52KCA_2023-07-11_final.stac-item
2023-07-25 11:02:32	ga_s2bm_ard_3-2-1_52KHE_2023-07-25_final.stac-item
2023-07-27 11:41:24	ga_s2bm_ard_3-2-1_51LUF_2023-07-27_final.stac-item
2023-07-30 11:52:25	ga_s2bm_ard_3-2-1_50KQG_2023-07-30_final.stac-item
2023-09-12 11:32:23	ga_s2bm_ard_3-2-1_51KVB_2023-09-12_final.stac-item
2023-11-14 11:46:56	ga_s2bm_ard_3-2-1_50HMJ_2023-11-14_final.stac-item
2023-11-18 11:26:13	ga_s2bm_ard_3-2-1_51JVF_2023-11-18_final.stac-item
2023-12-04 11:41:30	ga_s2bm_ard_3-2-1_51LUE_2023-12-04_final.stac-item
2023-12-17 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2023-12-17_final.stac-item
2024-01-17 11:26:14	ga_s2bm_ard_3-2-1_51JVF_2024-01-17_final.stac-item
2024-01-29 12:03:42	ga_s2bm_ard_3-2-1_49KHS_2024-01-29_final.stac-item
2024-02-02 11:41:27	ga_s2bm_ard_3-2-1_51LUE_2024-02-02_final.stac-item
2024-02-02 11:46:59	ga_s2bm_ard_3-2-1_50HMJ_2024-02-02_final.stac-item
2024-02-07 10:53:31	ga_s2bm_ard_3-2-1_52KGA_2024-02-07_final.stac-item
2024-03-06 11:53:12	ga_s2bm_ard_3-2-1_50KQC_2024-03-06_final.stac-item
2024-03-06 11:56:46	ga_s2bm_ard_3-2-1_50HMJ_2024-03-06_final.stac-item
2024-03-06 11:56:50	ga_s2bm_ard_3-2-1_50HLJ_2024-03-06_final.stac-item
2024-03-09 12:03:39	ga_s2bm_ard_3-2-1_50KKB_2024-03-09_final.stac-item
2024-05-05 11:56:14	ga_s2bm_ard_3-2-1_50JKM_2024-05-05_nrt.stac-item
2024-05-06 11:23:22	ga_s2bm_ard_3-2-1_51KZS_2024-05-06_nrt.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