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
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HLH_2017-11-15_final
2018-02-13 11:37:45	ga_s2bm_ard_3-2-1_51KUU_2018-02-13_final
2018-02-17 11:19:38	ga_s2bm_ard_3-2-1_51KYV_2018-02-17_final
2018-05-07 11:48:28	ga_s2bm_ard_3-2-1_50KQD_2018-05-07_final.stac-item
2018-05-08 11:16:58	ga_s2bm_ard_3-2-1_51KYU_2018-05-08_final
2018-07-20 11:32:26	ga_s2bm_ard_3-2-1_51KXQ_2018-07-20_final
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_51KXQ_2018-07-30_final
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_51KWQ_2018-10-28_final
2018-11-20 11:42:39	ga_s2bm_ard_3-2-1_51KVV_2018-11-20_final
2018-11-21 11:13:51	ga_s2bm_ard_3-2-1_52KBV_2018-11-21_final
2018-11-24 11:23:54	ga_s2bm_ard_3-2-1_51KXQ_2018-11-24_final
2018-12-14 11:23:43	ga_s2bm_ard_3-2-1_52KBV_2018-12-14_final
2018-12-20 11:44:19	ga_s2bm_ard_3-2-1_51KTP_2018-12-20_final
2018-12-24 11:23:35	ga_s2bm_ard_3-2-1_51KYR_2018-12-24_final
2018-12-27 11:32:11	ga_s2bm_ard_3-2-1_51KWB_2018-12-27_final
2019-01-06 11:32:42	ga_s2bm_ard_3-2-1_51KWV_2019-01-06_final
2019-01-13 11:23:56	ga_s2bm_ard_3-2-1_51KXQ_2019-01-13_final
2019-01-23 11:23:07	ga_s2bm_ard_3-2-1_51KZT_2019-01-23_final
2019-01-26 11:34:15	ga_s2bm_ard_3-2-1_51JXN_2019-01-26_final
2019-03-10 11:41:29	ga_s2bm_ard_3-2-1_51LUE_2019-03-10_final
2019-04-06 11:33:05	ga_s2bm_ard_3-2-1_51KVU_2019-04-06_final
2019-05-13 11:23:30	ga_s2bm_ard_3-2-1_51KZS_2019-05-13_final
2019-05-23 11:23:30	ga_s2bm_ard_3-2-1_51KZS_2019-05-23_final
2019-06-02 11:23:52	ga_s2bm_ard_3-2-1_51KZR_2019-06-02_final
2019-06-04 12:03:52	ga_s2bm_ard_3-2-1_49KHS_2019-06-04_final.stac-item
2019-06-21 11:56:33	ga_s2bm_ard_3-2-1_50JLL_2019-06-21_final
2019-07-12 11:23:47	ga_s2bm_ard_3-2-1_51KYR_2019-07-12_final
2019-12-05 11:43:12	ga_s2bm_ard_3-2-1_51KTT_2019-12-05_final
2019-12-22 11:33:40	ga_s2bm_ard_3-2-1_51KVR_2019-12-22_final
2020-01-04 11:44:26	ga_s2bm_ard_3-2-1_51JTN_2020-01-04_final
2020-01-11 11:31:55	ga_s2bm_ard_3-2-1_51LWC_2020-01-11_final
2020-01-15 11:13:27	ga_s2bm_ard_3-2-1_52KDA_2020-01-15_final
2020-01-15 11:13:48	ga_s2bm_ard_3-2-1_51KZQ_2020-01-15_final
2020-01-24 11:42:53	ga_s2bm_ard_3-2-1_51KUU_2020-01-24_final
2020-02-03 11:42:50	ga_s2bm_ard_3-2-1_51KVU_2020-02-03_final
2020-02-20 11:32:55	ga_s2bm_ard_3-2-1_51KVU_2020-02-20_final
2020-02-20 11:34:39	ga_s2bm_ard_3-2-1_51JVM_2020-02-20_final
2020-04-27 11:23:39	ga_s2bm_ard_3-2-1_52KBV_2020-04-27_final
2020-05-07 11:22:50	ga_s2bm_ard_3-2-1_51KZU_2020-05-07_final
2020-06-05 11:52:22	ga_s2bm_ard_3-2-1_50KQG_2020-06-05_final.stac-item
2020-07-09 11:32:56	ga_s2bm_ard_3-2-1_51KXU_2020-07-09_final
2020-09-14 11:23:59	ga_s2bm_ard_3-2-1_51KXQ_2020-09-14_final
2020-11-06 11:34:13	ga_s2bm_ard_3-2-1_51KWP_2020-11-06_final
2020-11-20 11:13:55	ga_s2bm_ard_3-2-1_51KZQ_2020-11-20_final
2020-11-23 11:23:10	ga_s2bm_ard_3-2-1_51KYT_2020-11-23_final
2020-11-29 11:43:58	ga_s2bm_ard_3-2-1_51KUQ_2020-11-29_final
2021-01-17 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2021-01-17_final
2021-01-25 11:34:17	ga_s2bm_ard_3-2-1_51KUP_2021-01-25_final
2021-03-23 11:24:03	ga_s2bm_ard_3-2-1_51KZP_2021-03-23_final
2021-04-28 11:42:41	ga_s2bm_ard_3-2-1_51KUV_2021-04-28_final
2021-06-24 11:34:11	ga_s2bm_ard_3-2-1_51KWP_2021-06-24_final
2021-07-11 11:23:59	ga_s2bm_ard_3-2-1_51KXQ_2021-07-11_final
2021-07-27 11:46:54	ga_s2bm_ard_3-2-1_50HNJ_2021-07-27_final
2021-11-08 11:24:04	ga_s2bm_ard_3-2-1_51KZP_2021-11-08_final
2021-11-14 11:42:56	ga_s2bm_ard_3-2-1_51KVU_2021-11-14_final
2021-11-25 11:13:50	ga_s2bm_ard_3-2-1_52KBV_2021-11-25_final
2021-12-04 11:42:12	ga_s2bm_ard_3-2-1_51KUB_2021-12-04_final.stac-item
2021-12-04 11:43:53	ga_s2bm_ard_3-2-1_51KUQ_2021-12-04_final
2021-12-27 11:53:06	ga_s2bm_ard_3-2-1_50KRC_2021-12-27_final
2022-01-07 11:23:46	ga_s2bm_ard_3-2-1_52KBV_2022-01-07_final
2022-01-10 11:34:13	ga_s2bm_ard_3-2-1_51KUP_2022-01-10_final
2022-01-20 11:34:13	ga_s2bm_ard_3-2-1_51KUP_2022-01-20_final
2022-02-02 11:44:07	ga_s2bm_ard_3-2-1_51KUP_2022-02-02_final
2022-03-08 11:23:37	ga_s2bm_ard_3-2-1_51KYR_2022-03-08_final
2022-04-09 12:03:41	ga_s2bm_ard_3-2-1_50KKB_2022-04-09_final
2022-05-27 11:23:43	ga_s2bm_ard_3-2-1_51KXR_2022-05-27_final
2022-06-09 11:32:21	ga_s2bm_ard_3-2-1_51KVB_2022-06-09_final
2022-07-09 11:33:50	ga_s2bm_ard_3-2-1_51KVR_2022-07-09_final
2022-07-16 11:23:11	ga_s2bm_ard_3-2-1_52KBC_2022-07-16_final
2022-11-27 11:03:53	ga_s2bm_ard_3-2-1_52KDV_2022-11-27_final.stac-item
2022-11-30 11:12:51	ga_s2bm_ard_3-2-1_52KCD_2022-11-30_final.stac-item
2022-12-06 11:32:55	ga_s2bm_ard_3-2-1_51KWU_2022-12-06_final.stac-item
2022-12-25 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2022-12-25_final.stac-item
2023-02-11 11:23:56	ga_s2bm_ard_3-2-1_51KXQ_2023-02-11_final.stac-item
2023-02-11 11:24:13	ga_s2bm_ard_3-2-1_51KWP_2023-02-11_final.stac-item
2023-02-14 11:33:55	ga_s2bm_ard_3-2-1_51KWQ_2023-02-14_final.stac-item
2023-02-24 11:34:25	ga_s2bm_ard_3-2-1_51JWN_2023-02-24_final.stac-item
2023-02-27 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2023-02-27_final.stac-item
2023-03-10 11:14:13	ga_s2bm_ard_3-2-1_51KZP_2023-03-10_final.stac-item
2023-03-23 11:23:30	ga_s2bm_ard_3-2-1_51KXS_2023-03-23_final.stac-item
2023-03-30 11:13:37	ga_s2bm_ard_3-2-1_52KDA_2023-03-30_final.stac-item
2023-04-15 11:32:59	ga_s2bm_ard_3-2-1_51KWU_2023-04-15_final.stac-item
2023-04-22 11:24:06	ga_s2bm_ard_3-2-1_51KZP_2023-04-22_final.stac-item
2023-06-01 11:23:10	ga_s2bm_ard_3-2-1_51KZT_2023-06-01_final.stac-item
2023-06-04 11:34:04	ga_s2bm_ard_3-2-1_51KVQ_2023-06-04_final.stac-item
2023-07-21 11:24:10	ga_s2bm_ard_3-2-1_52KBU_2023-07-21_final.stac-item
2023-08-03 11:33:46	ga_s2bm_ard_3-2-1_51KWR_2023-08-03_final.stac-item
2023-08-20 11:23:54	ga_s2bm_ard_3-2-1_52KBV_2023-08-20_final.stac-item
2023-09-02 11:33:32	ga_s2bm_ard_3-2-1_51KWS_2023-09-02_final.stac-item
2023-09-19 11:24:01	ga_s2bm_ard_3-2-1_51KXQ_2023-09-19_final.stac-item
2023-11-08 11:23:09	ga_s2bm_ard_3-2-1_51KZT_2023-11-08_final.stac-item
2023-11-09 10:55:48	ga_s2bm_ard_3-2-1_52JFM_2023-11-09_final.stac-item
2023-11-28 11:24:15	ga_s2bm_ard_3-2-1_51JZN_2023-11-28_final.stac-item
2023-12-14 11:43:10	ga_s2bm_ard_3-2-1_51KVT_2023-12-14_final.stac-item
2023-12-30 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2023-12-30_final.stac-item
2024-01-17 11:23:05	ga_s2bm_ard_3-2-1_52KBC_2024-01-17_final.stac-item
2024-01-26 11:50:28	ga_s2bm_ard_3-2-1_51LUJ_2024-01-26_nrt.stac-item
2024-02-12 11:43:16	ga_s2bm_ard_3-2-1_51KUT_2024-02-12_final.stac-item
2024-02-13 11:12:54	ga_s2bm_ard_3-2-1_52KCD_2024-02-13_final.stac-item
2024-02-23 11:13:33	ga_s2bm_ard_3-2-1_52KDA_2024-02-23_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