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
2017-07-19 11:12:01	ga_s2bm_ard_3-2-1_52KCA_2017-07-19_final
2017-08-18 11:12:12	ga_s2bm_ard_3-2-1_52KDB_2017-08-18_final
2017-10-27 11:11:48	ga_s2bm_ard_3-2-1_52KED_2017-10-27_final
2017-12-06 11:11:50	ga_s2bm_ard_3-2-1_52KCV_2017-12-06_final
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_50JPM_2018-01-14_final
2018-01-15 11:11:53	ga_s2bm_ard_3-2-1_52KCE_2018-01-15_final
2018-02-18 10:53:07	ga_s2bm_ard_3-2-1_52JGN_2018-02-18_final
2018-03-26 11:11:52	ga_s2bm_ard_3-2-1_51HXD_2018-03-26_final
2018-04-01 11:35:24	ga_s2bm_ard_3-2-1_51HUD_2018-04-01_final
2018-06-08 10:47:22	ga_s2bm_ard_3-2-1_52JGP_2018-06-08_final
2018-06-10 11:28:17	ga_s2bm_ard_3-2-1_51KWB_2018-06-10_final
2018-07-31 11:00:38	ga_s2bm_ard_3-2-1_52JCQ_2018-07-31_final
2018-12-06 12:04:30	ga_s2bm_ard_3-2-1_50JMT_2018-12-06_final
2019-01-06 11:32:18	ga_s2bm_ard_3-2-1_51KVB_2019-01-06_final
2019-01-26 11:31:21	ga_s2bm_ard_3-2-1_51LZE_2019-01-26_final
2019-01-26 11:34:46	ga_s2bm_ard_3-2-1_51JUM_2019-01-26_final
2019-01-30 11:13:15	ga_s2bm_ard_3-2-1_52KEB_2019-01-30_final
2019-02-01 11:53:31	ga_s2bm_ard_3-2-1_50KMC_2019-02-01_final
2019-03-31 11:16:43	ga_s2bm_ard_3-2-1_51HXD_2019-03-31_final
2019-05-23 11:23:59	ga_s2bm_ard_3-2-1_51KZQ_2019-05-23_final
2019-06-28 11:43:12	ga_s2bm_ard_3-2-1_51KTU_2019-06-28_final
2019-07-12 11:24:35	ga_s2bm_ard_3-2-1_51JXN_2019-07-12_final
2019-07-13 10:55:11	ga_s2bm_ard_3-2-1_52JFQ_2019-07-13_final
2019-08-25 11:05:31	ga_s2bm_ard_3-2-1_52JFN_2019-08-25_final
2019-09-20 11:26:31	ga_s2bm_ard_3-2-1_51HUE_2019-09-20_final
2019-09-27 11:13:54	ga_s2bm_ard_3-2-1_51KZQ_2019-09-27_final
2020-01-05 11:14:15	ga_s2bm_ard_3-2-1_52JCT_2020-01-05_final
2020-02-11 11:02:13	ga_s2bm_ard_3-2-1_52KFF_2020-02-11_final
2020-02-20 11:32:04	ga_s2bm_ard_3-2-1_51KYB_2020-02-20_final
2020-03-02 11:05:28	ga_s2bm_ard_3-2-1_52JEN_2020-03-02_final
2020-04-30 11:32:28	ga_s2bm_ard_3-2-1_51KVA_2020-04-30_final
2020-08-07 12:05:00	ga_s2bm_ard_3-2-1_50JKS_2020-08-07_final
2020-11-20 11:16:21	ga_s2bm_ard_3-2-1_52HBK_2020-11-20_final
2020-12-03 11:21:56	ga_s2bm_ard_3-2-1_51LZC_2020-12-03_final
2020-12-10 11:12:47	ga_s2bm_ard_3-2-1_52KDD_2020-12-10_final
2020-12-18 12:14:43	ga_s2bm_ard_3-2-1_49JFN_2020-12-18_final
2021-01-16 11:04:43	ga_s2bm_ard_3-2-1_52JFR_2021-01-16_final
2021-01-16 11:06:10	ga_s2bm_ard_3-2-1_52JBL_2021-01-16_final
2021-01-29 11:14:37	ga_s2bm_ard_3-2-1_51JZM_2021-01-29_final
2021-02-12 10:54:46	ga_s2bm_ard_3-2-1_52JFR_2021-02-12_final
2021-03-13 11:25:27	ga_s2bm_ard_3-2-1_51JWJ_2021-03-13_final
2021-03-23 11:22:11	ga_s2bm_ard_3-2-1_51KYB_2021-03-23_final
2021-05-04 12:03:20	ga_s2bm_ard_3-2-1_50KMC_2021-05-04_final
2021-05-04 12:05:09	ga_s2bm_ard_3-2-1_50JKR_2021-05-04_final
2021-05-13 10:55:44	ga_s2bm_ard_3-2-1_52JFM_2021-05-13_final
2021-05-19 11:14:23	ga_s2bm_ard_3-2-1_52JBT_2021-05-19_final
2021-06-01 11:26:01	ga_s2bm_ard_3-2-1_51JVG_2021-06-01_final
2021-06-18 11:14:10	ga_s2bm_ard_3-2-1_51KZP_2021-06-18_final
2021-07-18 11:13:31	ga_s2bm_ard_3-2-1_51KZS_2021-07-18_final
2021-09-06 11:13:51	ga_s2bm_ard_3-2-1_52KBV_2021-09-06_final
2021-10-02 11:36:17	ga_s2bm_ard_3-2-1_51JTF_2021-10-02_final
2021-10-19 11:23:23	ga_s2bm_ard_3-2-1_51KZS_2021-10-19_final
2021-10-26 11:15:44	ga_s2bm_ard_3-2-1_51JXH_2021-10-26_final
2021-12-15 11:13:30	ga_s2bm_ard_3-2-1_52KCA_2021-12-15_final
2021-12-19 10:55:36	ga_s2bm_ard_3-2-1_52JGM_2021-12-19_final
2021-12-24 11:43:13	ga_s2bm_ard_3-2-1_51KTT_2021-12-24_final
2021-12-31 11:31:44	ga_s2bm_ard_3-2-1_51LZC_2021-12-31_final
2022-01-17 11:22:04	ga_s2bm_ard_3-2-1_51KZB_2022-01-17_final
2022-01-24 11:15:56	ga_s2bm_ard_3-2-1_52JCL_2022-01-24_final
2022-02-03 11:12:59	ga_s2bm_ard_3-2-1_52KDC_2022-02-03_final
2022-02-12 11:46:20	ga_s2bm_ard_3-2-1_50JML_2022-02-12_final
2022-02-13 11:15:16	ga_s2bm_ard_3-2-1_52JBP_2022-02-13_final
2022-03-01 11:32:51	ga_s2bm_ard_3-2-1_51KXU_2022-03-01_final
2022-04-13 11:45:48	ga_s2bm_ard_3-2-1_50JPN_2022-04-13_final
2022-04-13 11:46:26	ga_s2bm_ard_3-2-1_50HQK_2022-04-13_final
2022-05-03 11:46:57	ga_s2bm_ard_3-2-1_50HPH_2022-05-03_final
2022-05-23 11:44:45	ga_s2bm_ard_3-2-1_50JRS_2022-05-23_final
2022-05-29 12:04:18	ga_s2bm_ard_3-2-1_49KGQ_2022-05-29_final
2022-06-26 11:22:56	ga_s2bm_ard_3-2-1_52KBD_2022-06-26_final
2022-07-12 11:42:18	ga_s2bm_ard_3-2-1_51KVB_2022-07-12_final
2022-07-19 11:33:32	ga_s2bm_ard_3-2-1_51KWS_2022-07-19_final
2022-08-04 11:56:30	ga_s2bm_ard_3-2-1_50JLL_2022-08-04_final
2022-09-03 11:53:19	ga_s2bm_ard_3-2-1_50KQC_2022-09-03_final.stac-item
2022-10-03 13:31:37	ga_s2bm_ard_3-2-1_47LKG_2022-10-03_interim.stac-item
2022-10-13 13:31:38	ga_s2bm_ard_3-2-1_46LHM_2022-10-13_interim.stac-item
2022-11-23 11:21:58	ga_s2bm_ard_3-2-1_51LYC_2022-11-23_final.stac-item
2023-02-24 11:32:44	ga_s2bm_ard_3-2-1_51KWV_2023-02-24_final.stac-item
2023-03-12 11:57:17	ga_s2bm_ard_3-2-1_50HKH_2023-03-12_nrt.stac-item
2023-03-25 12:05:40	ga_s2bm_ard_3-2-1_50JLP_2023-03-25_final.stac-item
2023-03-29 11:44:09	ga_s2bm_ard_3-2-1_50KQV_2023-03-29_final.stac-item
2023-04-14 12:05:52	ga_s2bm_ard_3-2-1_50JLN_2023-04-14_final.stac-item
2023-05-24 12:04:39	ga_s2bm_ard_3-2-1_49KGP_2023-05-24_final.stac-item
2023-06-08 11:13:53	ga_s2bm_ard_3-2-1_52KDV_2023-06-08_final.stac-item
2023-07-04 11:35:39	ga_s2bm_ard_3-2-1_51JTJ_2023-07-04_final.stac-item
2023-07-27 11:43:49	ga_s2bm_ard_3-2-1_51KUR_2023-07-27_final.stac-item
2023-07-28 11:13:21	ga_s2bm_ard_3-2-1_52KEB_2023-07-28_final.stac-item
2023-08-06 11:47:00	ga_s2bm_ard_3-2-1_50HMJ_2023-08-06_final.stac-item
2023-08-27 11:13:12	ga_s2bm_ard_3-2-1_52KCC_2023-08-27_final.stac-item
2023-10-31 12:06:12	ga_s2bm_ard_3-2-1_50JKM_2023-10-31_final.stac-item
2023-11-24 11:43:38	ga_s2bm_ard_3-2-1_51KUR_2023-11-24_final.stac-item
2023-11-25 11:12:48	ga_s2bm_ard_3-2-1_52KCD_2023-11-25_final.stac-item
2023-11-27 11:57:09	ga_s2bm_ard_3-2-1_50HKH_2023-11-27_nrt.stac-item
2024-01-04 11:12:50	ga_s2bm_ard_3-2-1_52KDD_2024-01-04_final.stac-item
2024-01-23 11:42:59	ga_s2bm_ard_3-2-1_51KUU_2024-01-23_final.stac-item
2024-03-04 11:12:25	ga_s2bm_ard_3-2-1_52KFE_2024-03-04_final.stac-item
2024-03-04 11:13:36	ga_s2bm_ard_3-2-1_51KZR_2024-03-04_final.stac-item
2024-03-06 11:53:45	ga_s2bm_ard_3-2-1_50KPA_2024-03-06_final.stac-item
2024-03-11 11:03:16	ga_s2bm_ard_3-2-1_52KEB_2024-03-11_final.stac-item
2024-04-03 11:15:41	ga_s2bm_ard_3-2-1_51JXH_2024-04-03_final.stac-item
2024-04-09 11:37:02	ga_s2bm_ard_3-2-1_50HQH_2024-04-09_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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