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
2017-08-14 11:34:56	ga_s2bm_ard_3-2-1_50JQL_2017-08-14_final
2017-08-28 11:11:56	ga_s2bm_ard_3-2-1_51JYG_2017-08-28_final
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_50JLN_2017-09-02_final
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_50KNC_2017-10-12_final
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_52KCD_2017-11-19_final
2017-11-24 10:32:21	ga_s2bm_ard_3-2-1_53HLE_2017-11-24_final
2018-01-22 10:57:08	ga_s2bm_ard_3-2-1_53KKB_2018-01-22_final
2018-01-23 10:32:25	ga_s2bm_ard_3-2-1_53HPB_2018-01-23_final
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_51KYS_2018-01-28_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51KVU_2018-01-31_final
2018-03-09 11:21:24	ga_s2bm_ard_3-2-1_51KZR_2018-03-09_final
2018-04-15 11:13:22	ga_s2bm_ard_3-2-1_52KBV_2018-04-15_final
2018-06-07 11:19:54	ga_s2bm_ard_3-2-1_51JWJ_2018-06-07_final
2018-06-13 11:43:22	ga_s2bm_ard_3-2-1_50HPH_2018-06-13_final
2018-07-26 11:52:57	ga_s2bm_ard_3-2-1_50JMP_2018-07-26_final
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50HLH_2018-09-11_final
2018-10-03 10:40:08	ga_s2bm_ard_3-2-1_53JLL_2018-10-03_final
2018-10-03 10:40:08	ga_s2bm_ard_3-2-1_53JMG_2018-10-03_final
2018-10-30 12:13:26	ga_s2bm_ard_3-2-1_49JGM_2018-10-30_final
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_50HMK_2018-10-31_final
2018-11-04 11:25:08	ga_s2bm_ard_3-2-1_51JXF_2018-11-04_final
2018-12-16 12:05:20	ga_s2bm_ard_3-2-1_50JKQ_2018-12-16_final
2019-01-13 11:23:27	ga_s2bm_ard_3-2-1_51KXS_2019-01-13_final
2019-04-02 11:56:16	ga_s2bm_ard_3-2-1_50JKM_2019-04-02_final
2019-04-17 11:05:07	ga_s2bm_ard_3-2-1_52JEQ_2019-04-17_final
2019-07-15 11:34:12	ga_s2bm_ard_3-2-1_51KVQ_2019-07-15_final
2019-07-24 12:03:28	ga_s2bm_ard_3-2-1_50KNC_2019-07-24_final
2019-08-03 10:26:58	ga_s2bm_ard_3-2-1_53HPB_2019-08-03_final
2019-12-03 11:01:23	ga_s2bm_ard_3-2-1_52LHJ_2019-12-03_final
2020-01-02 11:02:57	ga_s2bm_ard_3-2-1_52KFC_2020-01-02_final
2020-01-11 11:31:15	ga_s2bm_ard_3-2-1_51LZE_2020-01-11_final
2020-01-22 11:01:39	ga_s2bm_ard_3-2-1_52LGH_2020-01-22_final
2020-02-01 11:00:23	ga_s2bm_ard_3-2-1_52LHN_2020-02-01_final
2020-03-03 10:34:30	ga_s2bm_ard_3-2-1_53JQL_2020-03-03_final
2020-03-03 10:36:33	ga_s2bm_ard_3-2-1_53HNC_2020-03-03_final
2020-04-07 11:23:41	ga_s2bm_ard_3-2-1_52KBV_2020-04-07_final
2020-05-21 11:01:04	ga_s2bm_ard_3-2-1_52LGL_2020-05-21_final
2020-05-21 11:01:32	ga_s2bm_ard_3-2-1_52LGJ_2020-05-21_final
2020-05-30 11:32:21	ga_s2bm_ard_3-2-1_51KVB_2020-05-30_final
2020-07-08 10:26:42	ga_s2bm_ard_3-2-1_53HNC_2020-07-08_final
2020-08-11 11:42:49	ga_s2bm_ard_3-2-1_51KUV_2020-08-11_final
2020-09-08 11:06:09	ga_s2bm_ard_3-2-1_52JCL_2020-09-08_final
2020-09-19 10:36:19	ga_s2bm_ard_3-2-1_53HPD_2020-09-19_final
2020-10-10 11:47:18	ga_s2bm_ard_3-2-1_50HLH_2020-10-10_final
2020-10-29 12:14:12	ga_s2bm_ard_3-2-1_49KHQ_2020-10-29_final
2020-11-01 10:44:12	ga_s2bm_ard_3-2-1_53JMN_2020-11-01_final
2020-11-07 11:05:24	ga_s2bm_ard_3-2-1_52JCP_2020-11-07_final
2020-11-24 10:53:21	ga_s2bm_ard_3-2-1_52KGB_2020-11-24_final
2020-12-04 10:54:57	ga_s2bm_ard_3-2-1_52JGQ_2020-12-04_final
2020-12-06 11:31:47	ga_s2bm_ard_3-2-1_51LZC_2020-12-06_final
2020-12-10 11:12:58	ga_s2bm_ard_3-2-1_52KEC_2020-12-10_final
2020-12-10 11:16:24	ga_s2bm_ard_3-2-1_51HXE_2020-12-10_final
2021-01-26 11:03:23	ga_s2bm_ard_3-2-1_52KGA_2021-01-26_final
2021-04-12 11:25:53	ga_s2bm_ard_3-2-1_51JWG_2021-04-12_final
2021-09-03 11:02:37	ga_s2bm_ard_3-2-1_52KHD_2021-09-03_final
2021-09-21 10:27:02	ga_s2bm_ard_3-2-1_53HPA_2021-09-21_final
2021-10-10 10:55:50	ga_s2bm_ard_3-2-1_52JEM_2021-10-10_final
2021-11-05 11:16:03	ga_s2bm_ard_3-2-1_52JCL_2021-11-05_final
2021-11-17 11:56:38	ga_s2bm_ard_3-2-1_50HLK_2021-11-17_final
2021-11-21 11:33:49	ga_s2bm_ard_3-2-1_51KXQ_2021-11-21_final
2021-11-22 11:04:44	ga_s2bm_ard_3-2-1_52JER_2021-11-22_final
2022-01-28 10:55:28	ga_s2bm_ard_3-2-1_52JEN_2022-01-28_final
2022-01-31 11:02:56	ga_s2bm_ard_3-2-1_52KFC_2022-01-31_final
2022-03-03 10:34:30	ga_s2bm_ard_3-2-1_53JNL_2022-03-03_final
2022-03-08 11:26:41	ga_s2bm_ard_3-2-1_51HVD_2022-03-08_final
2022-03-18 11:22:31	ga_s2bm_ard_3-2-1_52KBE_2022-03-18_final
2022-04-24 11:10:32	ga_s2bm_ard_3-2-1_52LHM_2022-04-24_final
2022-04-30 11:34:18	ga_s2bm_ard_3-2-1_51JWN_2022-04-30_final
2022-05-15 10:45:54	ga_s2bm_ard_3-2-1_53JLF_2022-05-15_final
2022-06-20 11:03:50	ga_s2bm_ard_3-2-1_52KFV_2022-06-20_final
2022-08-10 10:34:22	ga_s2bm_ard_3-2-1_53JQM_2022-08-10_final
2022-09-03 11:56:56	ga_s2bm_ard_3-2-1_50HLJ_2022-09-03_final.stac-item
2022-10-04 11:23:11	ga_s2bm_ard_3-2-1_52KBC_2022-10-04_final.stac-item
2022-10-20 13:21:43	ga_s2bm_ard_3-2-1_47LKG_2022-10-20_interim.stac-item
2022-10-25 10:54:40	ga_s2bm_ard_3-2-1_53JKL_2022-10-25_final.stac-item
2022-10-28 11:01:56	ga_s2bm_ard_3-2-1_52KHG_2022-10-28_final.stac-item
2022-10-31 11:16:18	ga_s2bm_ard_3-2-1_52HBK_2022-10-31_final.stac-item
2022-11-13 11:21:46	ga_s2bm_ard_3-2-1_51LZC_2022-11-13_final.stac-item
2022-12-02 13:31:31	ga_s2bm_ard_3-2-1_47LKH_2022-12-02_interim.stac-item
2022-12-24 10:53:45	ga_s2bm_ard_3-2-1_52KGV_2022-12-24_final.stac-item
2023-01-03 10:53:26	ga_s2bm_ard_3-2-1_53KKR_2023-01-03_final.stac-item
2023-01-25 11:31:40	ga_s2bm_ard_3-2-1_51LXD_2023-01-25_final.stac-item
2023-01-26 11:02:38	ga_s2bm_ard_3-2-1_52KHD_2023-01-26_final.stac-item
2023-02-18 11:10:36	ga_s2bm_ard_3-2-1_52LHM_2023-02-18_final.stac-item
2023-03-06 11:37:04	ga_s2bm_ard_3-2-1_51HTC_2023-03-06_final.stac-item
2023-03-12 11:56:22	ga_s2bm_ard_3-2-1_50JNL_2023-03-12_final.stac-item
2023-03-30 11:15:40	ga_s2bm_ard_3-2-1_52JBN_2023-03-30_final.stac-item
2023-04-02 11:24:47	ga_s2bm_ard_3-2-1_52JBR_2023-04-02_final.stac-item
2023-06-17 11:44:18	ga_s2bm_ard_3-2-1_51KUP_2023-06-17_final.stac-item
2023-07-19 10:44:15	ga_s2bm_ard_3-2-1_53JMN_2023-07-19_final.stac-item
2023-08-16 11:46:35	ga_s2bm_ard_3-2-1_50HQK_2023-08-16_final.stac-item
2023-09-15 11:46:40	ga_s2bm_ard_3-2-1_50HNK_2023-09-15_final.stac-item
2023-09-18 11:57:09	ga_s2bm_ard_3-2-1_50HMH_2023-09-18_final.stac-item
2023-09-21 12:03:27	ga_s2bm_ard_3-2-1_50KMC_2023-09-21_final.stac-item
2023-10-06 11:10:37	ga_s2bm_ard_3-2-1_52LHM_2023-10-06_final.stac-item
2023-12-31 11:35:49	ga_s2bm_ard_3-2-1_51JTH_2023-12-31_final.stac-item
2024-03-07 11:26:41	ga_s2bm_ard_3-2-1_51HUD_2024-03-07_final.stac-item
2024-03-12 10:36:25	ga_s2bm_ard_3-2-1_53HLD_2024-03-12_final.stac-item
2024-03-21 11:03:42	ga_s2bm_ard_3-2-1_52KGV_2024-03-21_final.stac-item
2024-03-30 11:33:30	ga_s2bm_ard_3-2-1_51KVS_2024-03-30_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