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
2017-08-17 10:06:38	ga_s2bm_ard_3-2-1_54HVG_2017-08-17_final
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_50JLR_2017-09-02_final
2017-09-15 12:13:11	ga_s2bm_ard_3-2-1_49KHR_2017-09-15_final
2017-11-03 10:57:02	ga_s2bm_ard_3-2-1_52JBM_2017-11-03_final
2017-11-14 10:26:54	ga_s2bm_ard_3-2-1_53JMJ_2017-11-14_final
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_51KXQ_2017-11-19_final
2017-11-28 10:06:53	ga_s2bm_ard_3-2-1_54JZT_2017-11-28_final
2017-12-22 11:27:17	ga_s2bm_ard_3-2-1_51KVU_2017-12-22_final
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_50KRV_2017-12-25_final
2018-02-13 11:37:45	ga_s2bm_ard_3-2-1_51KWB_2018-02-13_final
2018-02-24 11:07:04	ga_s2bm_ard_3-2-1_52LGH_2018-02-24_final
2018-03-06 11:11:23	ga_s2bm_ard_3-2-1_51JYL_2018-03-06_final
2018-03-12 11:35:28	ga_s2bm_ard_3-2-1_51HUE_2018-03-12_final
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50HPK_2018-04-14_final
2018-05-30 10:17:02	ga_s2bm_ard_3-2-1_54JVQ_2018-05-30_final
2018-06-10 11:28:17	ga_s2bm_ard_3-2-1_51KUR_2018-06-10_final
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_50HPK_2018-07-13_final
2018-08-22 10:03:55	ga_s2bm_ard_3-2-1_54HYD_2018-08-22_final
2018-10-28 09:53:42	ga_s2bm_ard_3-2-1_54HWC_2018-10-28_final
2018-12-06 12:05:24	ga_s2bm_ard_3-2-1_49JGK_2018-12-06_final
2019-02-04 10:21:59	ga_s2bm_ard_3-2-1_54KWF_2019-02-04_final
2019-03-22 10:44:09	ga_s2bm_ard_3-2-1_53JMN_2019-03-22_final
2019-04-20 11:13:46	ga_s2bm_ard_3-2-1_51KZR_2019-04-20_final
2019-05-25 10:24:39	ga_s2bm_ard_3-2-1_54JUR_2019-05-25_final
2019-06-07 10:32:41	ga_s2bm_ard_3-2-1_53KRU_2019-06-07_final
2019-06-14 10:20:21	ga_s2bm_ard_3-2-1_54LXN_2019-06-14_final
2019-07-25 11:32:58	ga_s2bm_ard_3-2-1_51KVV_2019-07-25_final
2019-07-27 10:36:04	ga_s2bm_ard_3-2-1_53JMF_2019-07-27_final
2019-08-21 09:48:14	ga_s2bm_ard_3-2-1_54GYA_2019-08-21_final
2019-11-15 10:07:02	ga_s2bm_ard_3-2-1_54HYE_2019-11-15_final
2019-12-16 11:15:56	ga_s2bm_ard_3-2-1_51JYF_2019-12-16_final
2019-12-26 11:13:25	ga_s2bm_ard_3-2-1_52KEA_2019-12-26_final
2020-01-20 10:21:49	ga_s2bm_ard_3-2-1_54KXF_2020-01-20_final
2020-01-24 10:07:08	ga_s2bm_ard_3-2-1_54HVE_2020-01-24_final
2020-03-21 11:31:16	ga_s2bm_ard_3-2-1_52LBK_2020-03-21_final
2020-04-29 10:26:50	ga_s2bm_ard_3-2-1_53HNB_2020-04-29_final
2020-05-21 11:02:04	ga_s2bm_ard_3-2-1_52KFG_2020-05-21_final
2020-08-12 11:13:25	ga_s2bm_ard_3-2-1_52KCB_2020-08-12_final
2020-08-21 11:45:10	ga_s2bm_ard_3-2-1_50JPR_2020-08-21_final
2020-09-20 10:07:05	ga_s2bm_ard_3-2-1_54HYE_2020-09-20_final
2020-09-22 10:44:50	ga_s2bm_ard_3-2-1_53JKL_2020-09-22_final
2020-10-04 11:24:36	ga_s2bm_ard_3-2-1_52JBS_2020-10-04_final
2020-10-17 09:57:01	ga_s2bm_ard_3-2-1_54HXF_2020-10-17_final
2021-04-05 11:36:58	ga_s2bm_ard_3-2-1_51HTC_2021-04-05_final
2021-05-24 12:03:41	ga_s2bm_ard_3-2-1_50KKB_2021-05-24_final
2021-06-19 10:43:06	ga_s2bm_ard_3-2-1_53KPS_2021-06-19_final
2021-06-22 10:54:59	ga_s2bm_ard_3-2-1_52JGQ_2021-06-22_final
2021-06-26 10:31:49	ga_s2bm_ard_3-2-1_54KTG_2021-06-26_final
2021-07-20 10:16:23	ga_s2bm_ard_3-2-1_54HTJ_2021-07-20_final
2021-08-12 12:04:21	ga_s2bm_ard_3-2-1_50KKV_2021-08-12_final
2021-09-01 10:26:58	ga_s2bm_ard_3-2-1_53HQA_2021-09-01_final
2021-09-02 11:37:18	ga_s2bm_ard_3-2-1_50HPG_2021-09-02_final.stac-item
2021-09-20 10:52:15	ga_s2bm_ard_3-2-1_53KNV_2021-09-20_final
2021-11-10 10:26:27	ga_s2bm_ard_3-2-1_54HUH_2021-11-10_final
2021-12-21 11:36:18	ga_s2bm_ard_3-2-1_51HVE_2021-12-21_final
2022-01-15 10:44:05	ga_s2bm_ard_3-2-1_53JMN_2022-01-15_final
2022-01-25 10:42:45	ga_s2bm_ard_3-2-1_53KPT_2022-01-25_final
2022-01-27 11:21:47	ga_s2bm_ard_3-2-1_52LBH_2022-01-27_final
2022-01-29 12:04:36	ga_s2bm_ard_3-2-1_50JKT_2022-01-29_final
2022-02-02 10:05:03	ga_s2bm_ard_3-2-1_54JYN_2022-02-02_final
2022-02-12 11:44:57	ga_s2bm_ard_3-2-1_50JQR_2022-02-12_final
2022-03-13 12:15:18	ga_s2bm_ard_3-2-1_49JGK_2022-03-13_final
2022-03-25 11:10:35	ga_s2bm_ard_3-2-1_52LHM_2022-03-25_final
2022-03-30 12:03:23	ga_s2bm_ard_3-2-1_50KLC_2022-03-30_final
2022-04-13 11:43:26	ga_s2bm_ard_3-2-1_51KUS_2022-04-13_final
2022-04-13 11:46:09	ga_s2bm_ard_3-2-1_50JMM_2022-04-13_final
2022-05-12 10:34:26	ga_s2bm_ard_3-2-1_54JTR_2022-05-12_final
2022-06-27 10:52:50	ga_s2bm_ard_3-2-1_52KHD_2022-06-27_final
2022-06-28 12:05:49	ga_s2bm_ard_3-2-1_49JGJ_2022-06-28_final
2022-07-03 11:14:14	ga_s2bm_ard_3-2-1_51KZP_2022-07-03_final
2022-07-17 10:55:54	ga_s2bm_ard_3-2-1_52JEM_2022-07-17_final
2022-07-27 10:51:12	ga_s2bm_ard_3-2-1_53LNE_2022-07-27_final
2022-08-01 11:43:52	ga_s2bm_ard_3-2-1_51KTR_2022-08-01_final
2022-09-22 10:45:45	ga_s2bm_ard_3-2-1_53JKG_2022-09-22_final.stac-item
2022-09-25 10:54:09	ga_s2bm_ard_3-2-1_53JLN_2022-09-25_final.stac-item
2022-09-30 11:43:35	ga_s2bm_ard_3-2-1_51KVR_2022-09-30_final.stac-item
2022-11-12 10:16:48	ga_s2bm_ard_3-2-1_54HTG_2022-11-12_final.stac-item
2022-11-14 10:51:31	ga_s2bm_ard_3-2-1_53LPC_2022-11-14_final.stac-item
2022-11-29 10:06:45	ga_s2bm_ard_3-2-1_54HVG_2022-11-29_final.stac-item
2023-01-26 11:03:07	ga_s2bm_ard_3-2-1_52KHB_2023-01-26_final.stac-item
2023-02-24 11:35:45	ga_s2bm_ard_3-2-1_51JUH_2023-02-24_final.stac-item
2023-03-29 11:45:14	ga_s2bm_ard_3-2-1_50JNR_2023-03-29_final.stac-item
2023-04-01 11:56:21	ga_s2bm_ard_3-2-1_50JNL_2023-04-01_final.stac-item
2023-04-25 11:35:17	ga_s2bm_ard_3-2-1_51JUK_2023-04-25_final.stac-item
2023-05-21 10:16:25	ga_s2bm_ard_3-2-1_54HTJ_2023-05-21_final.stac-item
2023-06-01 11:25:56	ga_s2bm_ard_3-2-1_51JXG_2023-06-01_final.stac-item
2023-06-08 11:13:59	ga_s2bm_ard_3-2-1_51KZQ_2023-06-08_final.stac-item
2023-08-02 12:05:56	ga_s2bm_ard_3-2-1_50JLN_2023-08-02_final.stac-item
2023-08-09 11:56:05	ga_s2bm_ard_3-2-1_50JKN_2023-08-09_final.stac-item
2023-08-15 10:36:41	ga_s2bm_ard_3-2-1_53HNC_2023-08-15_final.stac-item
2023-08-20 11:21:16	ga_s2bm_ard_3-2-1_51LZF_2023-08-20_nrt.stac-item
2023-09-10 10:55:17	ga_s2bm_ard_3-2-1_52JGP_2023-09-10_final.stac-item
2023-11-05 11:12:53	ga_s2bm_ard_3-2-1_52KCD_2023-11-05_final.stac-item
2023-11-10 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2023-11-10_final.stac-item
2023-11-23 10:32:43	ga_s2bm_ard_3-2-1_53KRT_2023-11-23_final.stac-item
2024-02-04 10:41:38	ga_s2bm_ard_3-2-1_53LNC_2024-02-04_final.stac-item
2024-03-09 10:23:45	ga_s2bm_ard_3-2-1_53KRP_2024-03-09_final.stac-item
2024-03-11 11:06:20	ga_s2bm_ard_3-2-1_52HBK_2024-03-11_final.stac-item
2024-05-05 11:56:30	ga_s2bm_ard_3-2-1_50HNK_2024-05-05_final.stac-item
2024-05-31 10:32:38	ga_s2bm_ard_3-2-1_54KUC_2024-05-31_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