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
2017-11-16 11:11:48	ga_s2bm_ard_3-2-1_52KEB_2017-11-16_final
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51KXS_2017-11-22_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_50HPK_2018-01-11_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51KWQ_2018-05-18_final
2018-07-17 11:21:53	ga_s2bm_ard_3-2-1_51KXT_2018-07-17_final
2018-09-15 11:16:50	ga_s2bm_ard_3-2-1_52LDJ_2018-09-15_final
2018-10-21 11:38:40	ga_s2bm_ard_3-2-1_51KUU_2018-10-21_final
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_51KUV_2018-10-31_final
2018-11-30 11:43:00	ga_s2bm_ard_3-2-1_50KRD_2018-11-30_final
2018-12-11 11:13:48	ga_s2bm_ard_3-2-1_51KZQ_2018-12-11_final
2019-01-20 11:13:54	ga_s2bm_ard_3-2-1_52KBV_2019-01-20_final
2019-02-28 11:43:10	ga_s2bm_ard_3-2-1_51KVT_2019-02-28_final
2019-05-19 11:42:25	ga_s2bm_ard_3-2-1_51KUB_2019-05-19_final.stac-item
2019-05-22 11:53:12	ga_s2bm_ard_3-2-1_50KQD_2019-05-22_final.stac-item
2019-07-19 11:13:39	ga_s2bm_ard_3-2-1_52KEA_2019-07-19_final
2019-08-27 11:41:23	ga_s2bm_ard_3-2-1_51LUF_2019-08-27_final
2019-08-30 11:52:23	ga_s2bm_ard_3-2-1_50KQG_2019-08-30_final.stac-item
2019-10-06 11:42:58	ga_s2bm_ard_3-2-1_51KVU_2019-10-06_final
2019-11-05 11:41:33	ga_s2bm_ard_3-2-1_51LUE_2019-11-05_final
2019-11-06 11:13:33	ga_s2bm_ard_3-2-1_52KDA_2019-11-06_final
2019-11-14 10:36:38	ga_s2bm_ard_3-2-1_53HMC_2019-11-14_final.stac-item
2019-11-25 11:42:10	ga_s2bm_ard_3-2-1_51KVB_2019-11-25_final
2019-12-19 11:23:52	ga_s2bm_ard_3-2-1_51KXQ_2019-12-19_final
2020-01-07 11:53:19	ga_s2bm_ard_3-2-1_50KNC_2020-01-07_final
2020-01-14 11:43:12	ga_s2bm_ard_3-2-1_51KTT_2020-01-14_final
2020-01-21 11:33:46	ga_s2bm_ard_3-2-1_51KXQ_2020-01-21_final
2020-02-17 11:23:02	ga_s2bm_ard_3-2-1_52KBC_2020-02-17_final
2020-03-08 11:23:36	ga_s2bm_ard_3-2-1_52KBA_2020-03-08_final
2020-03-12 11:03:32	ga_s2bm_ard_3-2-1_52KEA_2020-03-12_final
2020-03-28 11:23:22	ga_s2bm_ard_3-2-1_51KYS_2020-03-28_final
2020-04-02 10:36:36	ga_s2bm_ard_3-2-1_53HMC_2020-04-02_final.stac-item
2020-06-26 11:23:09	ga_s2bm_ard_3-2-1_51KZT_2020-06-26_final
2020-06-26 11:23:24	ga_s2bm_ard_3-2-1_51KZS_2020-06-26_final
2020-08-24 11:53:06	ga_s2bm_ard_3-2-1_50KQD_2020-08-24_final.stac-item
2020-09-14 11:23:27	ga_s2bm_ard_3-2-1_51KYS_2020-09-14_final
2020-09-20 11:43:31	ga_s2bm_ard_3-2-1_51KUS_2020-09-20_final
2020-10-11 11:13:58	ga_s2bm_ard_3-2-1_51KZQ_2020-10-11_final
2020-10-20 11:43:00	ga_s2bm_ard_3-2-1_51KVU_2020-10-20_final
2020-11-29 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2020-11-29_final
2020-12-16 11:33:59	ga_s2bm_ard_3-2-1_51KUQ_2020-12-16_final
2020-12-19 11:43:54	ga_s2bm_ard_3-2-1_51KUQ_2020-12-19_final
2021-02-14 11:31:51	ga_s2bm_ard_3-2-1_51LYC_2021-02-14_final
2021-02-24 11:33:54	ga_s2bm_ard_3-2-1_51KWQ_2021-02-24_final
2021-04-08 11:41:30	ga_s2bm_ard_3-2-1_51LUE_2021-04-08_final
2021-04-28 11:42:12	ga_s2bm_ard_3-2-1_51KUB_2021-04-28_final.stac-item
2021-05-20 10:46:06	ga_s2bm_ard_3-2-1_53HME_2021-05-20_final
2021-06-01 11:24:56	ga_s2bm_ard_3-2-1_51JXL_2021-06-01_final
2021-06-07 11:43:30	ga_s2bm_ard_3-2-1_51KUS_2021-06-07_final
2021-06-14 11:33:35	ga_s2bm_ard_3-2-1_51KUS_2021-06-14_final
2021-06-21 11:23:43	ga_s2bm_ard_3-2-1_51KXR_2021-06-21_final
2021-06-24 11:33:24	ga_s2bm_ard_3-2-1_51KXS_2021-06-24_final
2021-08-30 11:23:22	ga_s2bm_ard_3-2-1_51KYS_2021-08-30_final
2021-09-22 11:33:50	ga_s2bm_ard_3-2-1_51KXQ_2021-09-22_final
2021-10-02 11:37:21	ga_s2bm_ard_3-2-1_50HPG_2021-10-02_final.stac-item
2021-11-09 10:54:15	ga_s2bm_ard_3-2-1_52JGT_2021-11-09_final
2021-11-14 11:44:12	ga_s2bm_ard_3-2-1_51KUP_2021-11-14_final
2021-11-18 11:23:47	ga_s2bm_ard_3-2-1_52KBV_2021-11-18_final
2021-12-08 11:24:46	ga_s2bm_ard_3-2-1_51JYL_2021-12-08_final
2021-12-11 11:32:45	ga_s2bm_ard_3-2-1_51KYU_2021-12-11_final
2021-12-21 11:33:40	ga_s2bm_ard_3-2-1_51KVR_2021-12-21_final
2022-01-03 11:42:53	ga_s2bm_ard_3-2-1_51KVU_2022-01-03_final
2022-01-03 11:43:21	ga_s2bm_ard_3-2-1_51KVS_2022-01-03_final
2022-01-15 10:45:43	ga_s2bm_ard_3-2-1_52JGM_2022-01-15_final
2022-01-20 11:33:48	ga_s2bm_ard_3-2-1_51KXQ_2022-01-20_final
2022-02-03 11:10:56	ga_s2bm_ard_3-2-1_52LFL_2022-02-03_final
2022-02-12 11:46:13	ga_s2bm_ard_3-2-1_50JPL_2022-02-12_final
2022-07-29 11:33:50	ga_s2bm_ard_3-2-1_51KVR_2022-07-29_final
2022-08-15 11:23:24	ga_s2bm_ard_3-2-1_51KZS_2022-08-15_final
2022-10-10 11:43:27	ga_s2bm_ard_3-2-1_51KUS_2022-10-10_final.stac-item
2022-11-13 11:23:06	ga_s2bm_ard_3-2-1_52KBC_2022-11-13_final.stac-item
2022-11-13 11:24:04	ga_s2bm_ard_3-2-1_52KBU_2022-11-13_final.stac-item
2022-11-30 11:13:53	ga_s2bm_ard_3-2-1_51KZQ_2022-11-30_final.stac-item
2022-12-03 11:23:41	ga_s2bm_ard_3-2-1_51KXR_2022-12-03_final.stac-item
2022-12-20 11:13:32	ga_s2bm_ard_3-2-1_52KDA_2022-12-20_final.stac-item
2022-12-23 11:21:23	ga_s2bm_ard_3-2-1_52LBK_2022-12-23_final.stac-item
2022-12-26 11:34:17	ga_s2bm_ard_3-2-1_51KUP_2022-12-26_final.stac-item
2023-01-09 11:10:58	ga_s2bm_ard_3-2-1_52LFL_2023-01-09_final.stac-item
2023-01-12 11:23:38	ga_s2bm_ard_3-2-1_51KXR_2023-01-12_final.stac-item
2023-02-21 11:23:39	ga_s2bm_ard_3-2-1_51KYR_2023-02-21_final.stac-item
2023-03-13 11:23:54	ga_s2bm_ard_3-2-1_52KBV_2023-03-13_final.stac-item
2023-03-29 11:42:45	ga_s2bm_ard_3-2-1_51KVV_2023-03-29_final.stac-item
2023-04-02 11:24:01	ga_s2bm_ard_3-2-1_51KXQ_2023-04-02_final.stac-item
2023-04-15 11:36:58	ga_s2bm_ard_3-2-1_51HUC_2023-04-15_final.stac-item
2023-05-02 11:22:54	ga_s2bm_ard_3-2-1_52KBD_2023-05-02_final.stac-item
2023-05-05 11:33:05	ga_s2bm_ard_3-2-1_51KYT_2023-05-05_final.stac-item
2023-05-12 11:23:45	ga_s2bm_ard_3-2-1_51KXR_2023-05-12_final.stac-item
2023-06-01 11:23:39	ga_s2bm_ard_3-2-1_51KZR_2023-06-01_final.stac-item
2023-07-17 11:43:34	ga_s2bm_ard_3-2-1_51KUS_2023-07-17_final.stac-item
2023-07-21 11:23:55	ga_s2bm_ard_3-2-1_52KBV_2023-07-21_final.stac-item
2023-08-03 11:33:39	ga_s2bm_ard_3-2-1_51KUS_2023-08-03_final.stac-item
2023-09-02 11:33:28	ga_s2bm_ard_3-2-1_51KXS_2023-09-02_final.stac-item
2023-09-05 11:46:38	ga_s2bm_ard_3-2-1_50HPK_2023-09-05_final.stac-item
2023-09-25 11:42:31	ga_s2bm_ard_3-2-1_51KVA_2023-09-25_final.stac-item
2023-10-24 10:36:40	ga_s2bm_ard_3-2-1_53HMC_2023-10-24_final.stac-item
2023-11-08 11:23:56	ga_s2bm_ard_3-2-1_51KYQ_2023-11-08_final.stac-item
2023-11-21 11:32:58	ga_s2bm_ard_3-2-1_51KVU_2023-11-21_final.stac-item
2023-12-18 11:23:35	ga_s2bm_ard_3-2-1_51KZR_2023-12-18_final.stac-item
2024-04-22 11:43:03	ga_s2bm_ard_3-2-1_51KTU_2024-04-22_final.stac-item
2024-04-26 11:24:10	ga_s2bm_ard_3-2-1_51KXP_2024-04-26_final.stac-item
2024-05-02 11:43:25	ga_s2bm_ard_3-2-1_51KVS_2024-05-02_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

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