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
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HLH_2017-11-15_final
2018-01-08 11:25:08	ga_s2bm_ard_3-2-1_51HWC_2018-01-08_final.stac-item
2018-01-09 10:53:06	ga_s2bm_ard_3-2-1_52HGK_2018-01-09_final.stac-item
2018-01-15 11:07:04	ga_s2bm_ard_3-2-1_52LFM_2018-01-15_final.stac-item
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51KWT_2018-01-31_final
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50HMJ_2018-02-13_final
2018-02-23 11:40:38	ga_s2bm_ard_3-2-1_50KRD_2018-02-23_final
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50KPF_2018-02-26_final.stac-item
2018-03-12 11:29:59	ga_s2bm_ard_3-2-1_51JXN_2018-03-12_final
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50JPL_2018-03-25_final
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50JPP_2018-03-25_final
2018-03-26 11:11:52	ga_s2bm_ard_3-2-1_52HBK_2018-03-26_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JKN_2018-03-28_final
2018-03-29 11:23:39	ga_s2bm_ard_3-2-1_51HVE_2018-03-29_final
2018-03-30 10:47:20	ga_s2bm_ard_3-2-1_52JFN_2018-03-30_final
2018-04-01 11:35:24	ga_s2bm_ard_3-2-1_51JUF_2018-04-01_final
2018-04-02 10:57:12	ga_s2bm_ard_3-2-1_52JFP_2018-04-02_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_50JNQ_2018-04-04_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_50JNR_2018-04-04_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_50KPV_2018-04-04_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_51LUF_2018-04-04_final
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50JML_2018-04-04_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JPS_2018-04-07_final
2018-04-08 11:24:02	ga_s2bm_ard_3-2-1_51JVF_2018-04-08_final
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_49JGL_2018-04-10_final
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_50JQP_2018-04-11_final
2018-04-15 11:07:10	ga_s2bm_ard_3-2-1_52LFN_2018-04-15_final.stac-item
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50JLT_2018-04-17_final
2018-04-18 11:23:34	ga_s2bm_ard_3-2-1_51JUF_2018-04-18_final
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_50JQL_2018-04-21_final
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_51JVF_2018-04-21_final.stac-item
2018-04-22 10:57:14	ga_s2bm_ard_3-2-1_52HDK_2018-04-22_final.stac-item
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HPG_2018-04-24_final.stac-item
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HPH_2018-04-24_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JQM_2018-04-24_final
2018-04-25 11:14:42	ga_s2bm_ard_3-2-1_51HXE_2018-04-25_final
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50HLG_2018-07-23_final.stac-item
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50HMG_2018-07-23_final.stac-item
2018-07-24 11:12:53	ga_s2bm_ard_3-2-1_52HCK_2018-07-24_final.stac-item
2018-08-08 12:02:45	ga_s2bm_ard_3-2-1_49KHS_2018-08-08_final.stac-item
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_50HPG_2018-08-09_final.stac-item
2018-08-23 11:12:48	ga_s2bm_ard_3-2-1_52KFC_2018-08-23_final
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_51KUB_2018-09-11_final.stac-item
2018-09-12 11:07:03	ga_s2bm_ard_3-2-1_52LFM_2018-09-12_final.stac-item
2019-01-07 11:06:19	ga_s2bm_ard_3-2-1_52HCK_2019-01-07_final.stac-item
2019-01-17 11:06:20	ga_s2bm_ard_3-2-1_52HCK_2019-01-17_final.stac-item
2019-01-19 11:43:03	ga_s2bm_ard_3-2-1_51KTU_2019-01-19_final
2019-01-26 11:33:02	ga_s2bm_ard_3-2-1_51KYT_2019-01-26_final
2019-01-27 11:05:20	ga_s2bm_ard_3-2-1_52JDP_2019-01-27_final
2019-02-18 11:47:27	ga_s2bm_ard_3-2-1_50HLG_2019-02-18_final.stac-item
2019-02-19 11:16:58	ga_s2bm_ard_3-2-1_51HWC_2019-02-19_final.stac-item
2019-04-04 10:56:13	ga_s2bm_ard_3-2-1_52HGK_2019-04-04_final.stac-item
2019-04-19 11:47:30	ga_s2bm_ard_3-2-1_50HMG_2019-04-19_final.stac-item
2019-04-23 11:27:01	ga_s2bm_ard_3-2-1_51HWC_2019-04-23_final.stac-item
2019-04-26 11:37:33	ga_s2bm_ard_3-2-1_50HNG_2019-04-26_final.stac-item
2019-05-09 11:42:22	ga_s2bm_ard_3-2-1_51KUB_2019-05-09_final.stac-item
2019-05-22 11:54:56	ga_s2bm_ard_3-2-1_50JPS_2019-05-22_final
2019-05-22 11:56:08	ga_s2bm_ard_3-2-1_50JKN_2019-05-22_final
2019-05-25 12:03:53	ga_s2bm_ard_3-2-1_49KHS_2019-05-25_final.stac-item
2019-05-29 11:45:01	ga_s2bm_ard_3-2-1_50JPS_2019-05-29_final
2019-06-05 11:37:29	ga_s2bm_ard_3-2-1_50HPG_2019-06-05_final.stac-item
2019-06-12 11:23:17	ga_s2bm_ard_3-2-1_51KYT_2019-06-12_final
2019-12-06 11:16:10	ga_s2bm_ard_3-2-1_52HCK_2019-12-06_final.stac-item
2020-01-25 11:10:25	ga_s2bm_ard_3-2-1_52LFN_2020-01-25_final.stac-item
2020-02-10 11:37:16	ga_s2bm_ard_3-2-1_50HPG_2020-02-10_final.stac-item
2020-02-24 11:10:44	ga_s2bm_ard_3-2-1_52LFM_2020-02-24_final.stac-item
2020-03-14 11:43:01	ga_s2bm_ard_3-2-1_51KTU_2020-03-14_final
2020-03-26 10:46:13	ga_s2bm_ard_3-2-1_52HGK_2020-03-26_final.stac-item
2020-04-21 11:06:16	ga_s2bm_ard_3-2-1_52HCK_2020-04-21_final.stac-item
2020-10-27 11:37:24	ga_s2bm_ard_3-2-1_50HPG_2020-10-27_final.stac-item
2021-02-04 11:37:26	ga_s2bm_ard_3-2-1_50HNG_2021-02-04_final.stac-item
2021-04-07 12:13:41	ga_s2bm_ard_3-2-1_49KHS_2021-04-07_final.stac-item
2021-04-20 10:46:10	ga_s2bm_ard_3-2-1_52HGK_2021-04-20_final.stac-item
2021-04-28 11:42:59	ga_s2bm_ard_3-2-1_50KRD_2021-04-28_final
2021-05-28 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2021-05-28_final.stac-item
2021-06-08 11:10:33	ga_s2bm_ard_3-2-1_52LFN_2021-06-08_final.stac-item
2021-06-11 11:26:23	ga_s2bm_ard_3-2-1_51HXE_2021-06-11_final
2021-06-13 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2021-06-13_final.stac-item
2021-06-14 11:31:25	ga_s2bm_ard_3-2-1_51LYE_2021-06-14_final
2021-06-27 11:42:17	ga_s2bm_ard_3-2-1_51KUB_2021-06-27_final.stac-item
2021-07-31 11:26:56	ga_s2bm_ard_3-2-1_51HWC_2021-07-31_final.stac-item
2021-08-01 10:56:12	ga_s2bm_ard_3-2-1_52HGK_2021-08-01_final.stac-item
2021-08-14 11:06:18	ga_s2bm_ard_3-2-1_52HDK_2021-08-14_final.stac-item
2021-08-20 11:27:07	ga_s2bm_ard_3-2-1_51HTC_2021-08-20_final
2021-08-21 10:56:10	ga_s2bm_ard_3-2-1_52HGK_2021-08-21_final.stac-item
2021-08-30 11:21:18	ga_s2bm_ard_3-2-1_52LCK_2021-08-30_final.stac-item
2021-12-07 11:57:15	ga_s2bm_ard_3-2-1_50HMG_2021-12-07_final.stac-item
2022-05-13 11:40:56	ga_s2bm_ard_3-2-1_51LWG_2022-05-13_final.stac-item
2022-06-16 11:21:25	ga_s2bm_ard_3-2-1_52LCK_2022-06-16_final.stac-item
2022-08-27 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2022-08-27_final.stac-item
2022-11-06 11:31:22	ga_s2bm_ard_3-2-1_51LYE_2022-11-06_final.stac-item
2023-01-11 11:50:26	ga_s2bm_ard_3-2-1_51LUJ_2023-01-11_nrt.stac-item
2023-03-09 11:41:37	ga_s2bm_ard_3-2-1_51LUE_2023-03-09_final.stac-item
2023-03-09 11:43:08	ga_s2bm_ard_3-2-1_50KRD_2023-03-09_final.stac-item
2023-03-13 11:21:25	ga_s2bm_ard_3-2-1_52LCK_2023-03-13_final.stac-item
2023-04-14 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2023-04-14_final.stac-item
2023-04-18 11:43:05	ga_s2bm_ard_3-2-1_51KTU_2023-04-18_final.stac-item
2023-05-22 11:21:26	ga_s2bm_ard_3-2-1_52LCK_2023-05-22_final.stac-item
2023-08-04 11:06:03	ga_s2bm_ard_3-2-1_52JBM_2023-08-04_final.stac-item
2023-09-19 11:21:25	ga_s2bm_ard_3-2-1_52LCK_2023-09-19_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

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