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
2017-07-31 11:56:33	ga_s2bm_ard_3-2-1_50HMJ_2017-07-31_final
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_51KTT_2017-11-05_final
2017-12-06 11:11:50	ga_s2bm_ard_3-2-1_52KED_2017-12-06_final
2017-12-13 10:57:04	ga_s2bm_ard_3-2-1_52JET_2017-12-13_final
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51JXJ_2017-12-29_final
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_50JKN_2018-01-10_final
2018-01-21 11:30:33	ga_s2bm_ard_3-2-1_51LZC_2018-01-21_final
2018-01-25 11:07:05	ga_s2bm_ard_3-2-1_52KFG_2018-01-25_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51KWR_2018-01-31_final
2018-02-17 11:19:38	ga_s2bm_ard_3-2-1_51KYT_2018-02-17_final
2018-02-17 11:19:38	ga_s2bm_ard_3-2-1_51KZS_2018-02-17_final
2018-02-17 11:19:38	ga_s2bm_ard_3-2-1_51KZT_2018-02-17_final
2018-02-17 11:23:50	ga_s2bm_ard_3-2-1_51KXQ_2018-02-17_final
2018-02-22 10:27:00	ga_s2bm_ard_3-2-1_53HNB_2018-02-22_final
2018-06-02 12:13:22	ga_s2bm_ard_3-2-1_49KHR_2018-06-02_final
2018-06-26 11:54:14	ga_s2bm_ard_3-2-1_50JML_2018-06-26_final
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_51HUD_2018-08-09_final
2018-08-10 11:00:47	ga_s2bm_ard_3-2-1_52JFQ_2018-08-10_final
2018-09-01 11:35:18	ga_s2bm_ard_3-2-1_50JNM_2018-09-01_final
2018-09-27 10:22:43	ga_s2bm_ard_3-2-1_53HPA_2018-09-27_final
2019-01-26 11:31:21	ga_s2bm_ard_3-2-1_51LZE_2019-01-26_final
2019-04-10 11:11:41	ga_s2bm_ard_3-2-1_52LDJ_2019-04-10_final
2019-05-11 10:46:09	ga_s2bm_ard_3-2-1_52JGL_2019-05-11_final
2019-06-08 11:46:13	ga_s2bm_ard_3-2-1_50JPM_2019-06-08_final
2019-06-09 11:15:32	ga_s2bm_ard_3-2-1_51JYJ_2019-06-09_final
2019-07-12 11:23:54	ga_s2bm_ard_3-2-1_51KYR_2019-07-12_final
2019-07-16 11:06:15	ga_s2bm_ard_3-2-1_52JCL_2019-07-16_final
2019-08-24 11:37:12	ga_s2bm_ard_3-2-1_50HPH_2019-08-24_final
2019-10-12 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2019-10-12_final
2020-01-04 11:42:04	ga_s2bm_ard_3-2-1_51KWB_2020-01-04_final
2020-01-18 11:24:38	ga_s2bm_ard_3-2-1_52JBR_2020-01-18_final
2020-02-14 11:10:39	ga_s2bm_ard_3-2-1_52LGM_2020-02-14_final
2020-03-01 11:31:33	ga_s2bm_ard_3-2-1_51LZD_2020-03-01_final
2020-05-20 11:33:16	ga_s2bm_ard_3-2-1_51KVT_2020-05-20_final
2020-06-13 11:16:39	ga_s2bm_ard_3-2-1_51HYD_2020-06-13_final
2020-07-22 11:42:23	ga_s2bm_ard_3-2-1_51KWA_2020-07-22_final
2020-09-20 11:46:32	ga_s2bm_ard_3-2-1_50HQK_2020-09-20_final
2020-09-26 12:05:54	ga_s2bm_ard_3-2-1_50JLN_2020-09-26_final
2020-10-04 11:23:10	ga_s2bm_ard_3-2-1_51KZT_2020-10-04_final
2020-10-07 11:33:45	ga_s2bm_ard_3-2-1_51KWR_2020-10-07_final
2020-10-29 12:15:19	ga_s2bm_ard_3-2-1_49JGL_2020-10-29_final
2020-11-16 11:32:47	ga_s2bm_ard_3-2-1_51KVV_2020-11-16_final
2020-11-18 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2020-11-18_final
2020-12-23 11:21:37	ga_s2bm_ard_3-2-1_51LZD_2020-12-23_final
2021-01-02 11:26:31	ga_s2bm_ard_3-2-1_51HUE_2021-01-02_final
2021-02-15 11:01:26	ga_s2bm_ard_3-2-1_52LHJ_2021-02-15_final
2021-02-25 11:00:29	ga_s2bm_ard_3-2-1_52LHN_2021-02-25_final
2021-03-13 11:24:32	ga_s2bm_ard_3-2-1_52JBS_2021-03-13_final
2021-03-14 10:55:56	ga_s2bm_ard_3-2-1_52JGL_2021-03-14_final
2021-04-04 10:26:38	ga_s2bm_ard_3-2-1_53HNC_2021-04-04_final
2021-05-10 10:45:58	ga_s2bm_ard_3-2-1_52JGL_2021-05-10_final
2021-06-18 11:13:40	ga_s2bm_ard_3-2-1_52KBA_2021-06-18_final
2021-06-20 11:56:08	ga_s2bm_ard_3-2-1_50JMM_2021-06-20_final
2021-06-20 11:56:26	ga_s2bm_ard_3-2-1_50JLL_2021-06-20_final
2021-07-16 12:15:05	ga_s2bm_ard_3-2-1_49JFM_2021-07-16_final
2021-07-23 12:06:10	ga_s2bm_ard_3-2-1_50JKM_2021-07-23_final
2021-07-27 11:44:40	ga_s2bm_ard_3-2-1_50JPT_2021-07-27_final
2021-08-12 12:04:50	ga_s2bm_ard_3-2-1_50JMS_2021-08-12_final
2021-08-26 11:47:05	ga_s2bm_ard_3-2-1_50HNH_2021-08-26_final
2021-09-04 12:13:33	ga_s2bm_ard_3-2-1_50KKB_2021-09-04_final
2021-09-07 10:46:20	ga_s2bm_ard_3-2-1_53HLD_2021-09-07_final
2021-11-05 11:13:49	ga_s2bm_ard_3-2-1_52KDV_2021-11-05_final
2022-01-24 11:10:38	ga_s2bm_ard_3-2-1_52LGM_2022-01-24_final
2022-01-31 11:04:12	ga_s2bm_ard_3-2-1_52JET_2022-01-31_final
2022-02-02 11:42:22	ga_s2bm_ard_3-2-1_51KVA_2022-02-02_final
2022-03-02 11:06:03	ga_s2bm_ard_3-2-1_52JCL_2022-03-02_final
2022-03-10 10:27:03	ga_s2bm_ard_3-2-1_53HPA_2022-03-10_final
2022-03-18 11:22:32	ga_s2bm_ard_3-2-1_51KZV_2022-03-18_final
2022-05-12 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2022-05-12_final
2022-06-24 10:46:29	ga_s2bm_ard_3-2-1_53HLD_2022-06-24_final
2022-07-06 11:23:30	ga_s2bm_ard_3-2-1_51KYS_2022-07-06_final
2022-08-01 11:47:11	ga_s2bm_ard_3-2-1_50HNH_2022-08-01_final
2022-10-01 11:14:23	ga_s2bm_ard_3-2-1_51JZN_2022-10-01_final.stac-item
2022-10-10 11:45:19	ga_s2bm_ard_3-2-1_50JPQ_2022-10-10_final.stac-item
2022-10-12 10:45:59	ga_s2bm_ard_3-2-1_52JGL_2022-10-12_final.stac-item
2022-11-08 10:36:57	ga_s2bm_ard_3-2-1_53HPA_2022-11-08_final.stac-item
2022-11-16 11:33:59	ga_s2bm_ard_3-2-1_51KVQ_2022-11-16_final.stac-item
2022-11-17 11:01:56	ga_s2bm_ard_3-2-1_52KHG_2022-11-17_final.stac-item
2022-11-23 11:23:20	ga_s2bm_ard_3-2-1_52KBB_2022-11-23_final.stac-item
2022-12-20 11:10:24	ga_s2bm_ard_3-2-1_52LHN_2022-12-20_final.stac-item
2022-12-30 11:12:05	ga_s2bm_ard_3-2-1_52KDG_2022-12-30_final.stac-item
2023-01-08 13:21:41	ga_s2bm_ard_3-2-1_47LKG_2023-01-08_interim.stac-item
2023-01-09 11:13:33	ga_s2bm_ard_3-2-1_52KCA_2023-01-09_final.stac-item
2023-01-17 10:36:07	ga_s2bm_ard_3-2-1_53HME_2023-01-17_final.stac-item
2023-02-12 10:55:26	ga_s2bm_ard_3-2-1_52JGN_2023-02-12_final.stac-item
2023-04-05 11:34:28	ga_s2bm_ard_3-2-1_51JWN_2023-04-05_final.stac-item
2023-04-28 11:43:35	ga_s2bm_ard_3-2-1_50KRB_2023-04-28_final.stac-item
2023-06-28 11:14:07	ga_s2bm_ard_3-2-1_52KDU_2023-06-28_final.stac-item
2023-07-01 11:22:04	ga_s2bm_ard_3-2-1_51LYC_2023-07-01_final.stac-item
2023-08-03 11:37:11	ga_s2bm_ard_3-2-1_50HPH_2023-08-03_final.stac-item
2023-10-30 10:54:23	ga_s2bm_ard_3-2-1_52JFT_2023-10-30_final.stac-item
2023-11-28 11:24:29	ga_s2bm_ard_3-2-1_51JZM_2023-11-28_final.stac-item
2023-11-28 11:25:35	ga_s2bm_ard_3-2-1_51JXH_2023-11-28_final.stac-item
2023-12-15 11:16:33	ga_s2bm_ard_3-2-1_52HBJ_2023-12-15_nrt.stac-item
2024-01-04 11:15:04	ga_s2bm_ard_3-2-1_52JCQ_2024-01-04_final.stac-item
2024-02-06 11:23:24	ga_s2bm_ard_3-2-1_51KYS_2024-02-06_final.stac-item
2024-02-20 11:01:58	ga_s2bm_ard_3-2-1_52KHG_2024-02-20_final.stac-item
2024-03-07 11:23:59	ga_s2bm_ard_3-2-1_51KZP_2024-03-07_final.stac-item
2024-04-09 11:33:47	ga_s2bm_ard_3-2-1_51KUR_2024-04-09_final.stac-item
2024-04-24 10:46:20	ga_s2bm_ard_3-2-1_53HMD_2024-04-24_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

All years