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
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_50JLN_2017-07-24_final
2017-09-10 11:21:50	ga_s2bm_ard_3-2-1_51JWG_2017-09-10_final
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_49JGN_2017-09-22_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_51LWG_2017-11-25_final.stac-item
2018-01-07 11:50:37	ga_s2bm_ard_3-2-1_50JKM_2018-01-07_final
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50JNL_2018-01-14_final
2018-02-17 11:23:50	ga_s2bm_ard_3-2-1_51HVD_2018-02-17_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51KWP_2018-02-20_final
2018-02-24 11:11:53	ga_s2bm_ard_3-2-1_52HBK_2018-02-24_final
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50JLP_2018-02-26_final
2018-05-15 11:13:12	ga_s2bm_ard_3-2-1_51HYD_2018-05-15_final
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50KQV_2018-06-06_final
2018-06-24 11:14:42	ga_s2bm_ard_3-2-1_51HYD_2018-06-24_final
2018-06-27 11:19:19	ga_s2bm_ard_3-2-1_51JUF_2018-06-27_final
2018-09-08 11:30:45	ga_s2bm_ard_3-2-1_51HTD_2018-09-08_final
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_51KTU_2018-09-11_final
2019-01-26 11:31:57	ga_s2bm_ard_3-2-1_51LXC_2019-01-26_final
2019-01-26 11:32:11	ga_s2bm_ard_3-2-1_51KXB_2019-01-26_final
2019-01-26 11:32:40	ga_s2bm_ard_3-2-1_51KXV_2019-01-26_final
2019-04-03 11:27:04	ga_s2bm_ard_3-2-1_51HUC_2019-04-03_final
2019-04-06 11:33:02	ga_s2bm_ard_3-2-1_51KWU_2019-04-06_final
2019-04-09 11:43:55	ga_s2bm_ard_3-2-1_50KQA_2019-04-09_final
2019-04-29 11:47:10	ga_s2bm_ard_3-2-1_50HPH_2019-04-29_final
2019-07-14 12:04:51	ga_s2bm_ard_3-2-1_49JHN_2019-07-14_final
2019-07-25 11:34:48	ga_s2bm_ard_3-2-1_51JWM_2019-07-25_final
2019-08-11 11:23:56	ga_s2bm_ard_3-2-1_51KZQ_2019-08-11_final
2019-08-28 11:14:33	ga_s2bm_ard_3-2-1_51JYN_2019-08-28_final
2019-09-26 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2019-09-26_final
2019-09-26 11:47:02	ga_s2bm_ard_3-2-1_50HPH_2019-09-26_final
2019-12-16 11:16:15	ga_s2bm_ard_3-2-1_52HBK_2019-12-16_final
2019-12-22 11:33:25	ga_s2bm_ard_3-2-1_51KVS_2019-12-22_final
2020-02-11 11:06:19	ga_s2bm_ard_3-2-1_52HBK_2020-02-11_final
2020-03-07 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2020-03-07_final
2020-03-08 11:26:59	ga_s2bm_ard_3-2-1_51HUC_2020-03-08_final
2020-03-21 11:34:03	ga_s2bm_ard_3-2-1_51KXP_2020-03-21_final
2020-03-23 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2020-03-23_final
2020-04-20 11:32:45	ga_s2bm_ard_3-2-1_51KYU_2020-04-20_final
2020-04-30 11:33:56	ga_s2bm_ard_3-2-1_51KVQ_2020-04-30_final
2020-05-10 11:33:57	ga_s2bm_ard_3-2-1_51KVQ_2020-05-10_final
2020-05-11 11:04:49	ga_s2bm_ard_3-2-1_52JDR_2020-05-11_final
2020-05-20 11:33:01	ga_s2bm_ard_3-2-1_51KVU_2020-05-20_final
2020-05-27 11:22:42	ga_s2bm_ard_3-2-1_51KYV_2020-05-27_final
2020-07-09 11:36:59	ga_s2bm_ard_3-2-1_51HUC_2020-07-09_final
2020-07-16 11:23:22	ga_s2bm_ard_3-2-1_51KZS_2020-07-16_final
2020-08-01 11:46:18	ga_s2bm_ard_3-2-1_50JQL_2020-08-01_final
2020-08-05 11:25:45	ga_s2bm_ard_3-2-1_51JWH_2020-08-05_final
2020-08-12 11:16:40	ga_s2bm_ard_3-2-1_51HYD_2020-08-12_final
2020-09-21 11:16:39	ga_s2bm_ard_3-2-1_51HYD_2020-09-21_final
2020-11-10 11:15:40	ga_s2bm_ard_3-2-1_51JYH_2020-11-10_final
2021-01-29 11:13:40	ga_s2bm_ard_3-2-1_51KZR_2021-01-29_final
2021-03-05 12:03:22	ga_s2bm_ard_3-2-1_50KMC_2021-03-05_final
2021-03-13 11:25:20	ga_s2bm_ard_3-2-1_51JYJ_2021-03-13_final
2021-03-19 11:42:59	ga_s2bm_ard_3-2-1_51KUU_2021-03-19_final
2021-04-08 11:43:15	ga_s2bm_ard_3-2-1_51KTT_2021-04-08_final
2021-04-08 11:46:45	ga_s2bm_ard_3-2-1_50HPJ_2021-04-08_final
2021-04-11 11:56:33	ga_s2bm_ard_3-2-1_50HMK_2021-04-11_final
2021-04-16 11:06:02	ga_s2bm_ard_3-2-1_52JCL_2021-04-16_final
2021-04-19 11:14:24	ga_s2bm_ard_3-2-1_51JYN_2021-04-19_final
2021-06-10 11:54:34	ga_s2bm_ard_3-2-1_50JPT_2021-06-10_final
2021-06-24 11:33:45	ga_s2bm_ard_3-2-1_51KVR_2021-06-24_final
2021-06-28 11:13:55	ga_s2bm_ard_3-2-1_51KZQ_2021-06-28_final
2021-07-08 11:16:38	ga_s2bm_ard_3-2-1_51HYD_2021-07-08_final
2021-07-27 11:47:04	ga_s2bm_ard_3-2-1_50HPH_2021-07-27_final
2021-08-09 11:55:47	ga_s2bm_ard_3-2-1_50JKP_2021-08-09_final
2021-09-02 11:35:41	ga_s2bm_ard_3-2-1_51JUH_2021-09-02_final
2021-09-11 12:06:06	ga_s2bm_ard_3-2-1_50JKM_2021-09-11_final
2021-12-21 11:36:26	ga_s2bm_ard_3-2-1_51HTE_2021-12-21_final
2022-02-02 11:43:12	ga_s2bm_ard_3-2-1_51KTT_2022-02-02_final
2022-02-03 11:14:03	ga_s2bm_ard_3-2-1_51KZP_2022-02-03_final
2022-03-01 11:31:35	ga_s2bm_ard_3-2-1_51LYD_2022-03-01_final
2022-05-01 11:04:16	ga_s2bm_ard_3-2-1_52JDT_2022-05-01_final
2022-06-06 11:25:58	ga_s2bm_ard_3-2-1_51JWG_2022-06-06_final
2022-06-12 11:47:17	ga_s2bm_ard_3-2-1_50HLH_2022-06-12_final
2022-06-18 12:04:03	ga_s2bm_ard_3-2-1_49KHR_2022-06-18_final
2022-09-03 11:55:07	ga_s2bm_ard_3-2-1_50JNR_2022-09-03_final.stac-item
2022-10-31 11:15:31	ga_s2bm_ard_3-2-1_52JCN_2022-10-31_final.stac-item
2022-11-02 13:31:36	ga_s2bm_ard_3-2-1_47LKG_2022-11-02_interim.stac-item
2022-12-22 13:31:38	ga_s2bm_ard_3-2-1_46LHM_2022-12-22_interim.stac-item
2022-12-27 11:06:09	ga_s2bm_ard_3-2-1_52JBL_2022-12-27_final.stac-item
2023-01-05 11:32:56	ga_s2bm_ard_3-2-1_51KWU_2023-01-05_final.stac-item
2023-01-06 11:04:19	ga_s2bm_ard_3-2-1_52JDT_2023-01-06_final.stac-item
2023-02-28 11:15:25	ga_s2bm_ard_3-2-1_51JYJ_2023-02-28_final.stac-item
2023-03-03 11:23:26	ga_s2bm_ard_3-2-1_51KYS_2023-03-03_final.stac-item
2023-04-09 11:15:12	ga_s2bm_ard_3-2-1_51JYK_2023-04-09_final.stac-item
2023-04-25 11:33:18	ga_s2bm_ard_3-2-1_51KVT_2023-04-25_final.stac-item
2023-05-25 11:34:08	ga_s2bm_ard_3-2-1_51KUQ_2023-05-25_final.stac-item
2023-06-11 11:21:16	ga_s2bm_ard_3-2-1_51LZF_2023-06-11_nrt.stac-item
2023-08-16 11:46:43	ga_s2bm_ard_3-2-1_50HNK_2023-08-16_final.stac-item
2023-11-23 12:13:35	ga_s2bm_ard_3-2-1_50KKB_2023-11-23_final.stac-item
2023-11-24 11:45:45	ga_s2bm_ard_3-2-1_50JPN_2023-11-24_final.stac-item
2023-12-12 11:05:46	ga_s2bm_ard_3-2-1_52JDM_2023-12-12_final.stac-item
2023-12-28 11:27:03	ga_s2bm_ard_3-2-1_51HUC_2023-12-28_final.stac-item
2024-01-03 11:46:52	ga_s2bm_ard_3-2-1_50HNJ_2024-01-03_final.stac-item
2024-01-27 11:22:36	ga_s2bm_ard_3-2-1_51KZV_2024-01-27_final.stac-item
2024-01-27 11:25:44	ga_s2bm_ard_3-2-1_51JVH_2024-01-27_final.stac-item
2024-02-06 11:21:53	ga_s2bm_ard_3-2-1_51LZC_2024-02-06_final.stac-item
2024-02-19 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2024-02-19_final.stac-item
2024-02-22 11:42:10	ga_s2bm_ard_3-2-1_51KWB_2024-02-22_final.stac-item
2024-04-09 11:33:15	ga_s2bm_ard_3-2-1_51KVT_2024-04-09_final.stac-item
2024-04-10 11:05:52	ga_s2bm_ard_3-2-1_52JCM_2024-04-10_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