Getting Lon-Lat-coordinates for a cube or tile is as simple as: import earthnet as enĮn.get_coords_from_cube(cubename, return_meso = False)Ĭreating a gallery view for a cube is done as follows: import earthnet as enįig = en.cube_gallery(cubepath, variable = "ndvi")Ĭreating a NDVI timeseries view for a cube is done as follows: import earthnet as enįig = en. Then use the EarthNetScore: import earthnet as enĮn.EarthNetScore.get_ENS(Path/to/predictions, Path/to/targets, data_output_file = Path/to/data.json, ens_output_file = Path/to/ens.json) Then use the Path/To/Download/To/TestSet as the targets. Save your predictions for one test set in one folder in one of the following ways: Python download.py "Path/To/Download/To" "all"įor using in the commandline. Īlternatively if package was installed locally: cd earthnet-toolkit/earthnet/ Where data_dir is the directory where EarthNet2021 shall be saved and splits is "all"or a subset of. Scores = en.score_over_dataset(Path/to/targets, Path/to/predictions)Īlternatively you can score a single minicube: import earthnet as enĭf = en.normalized_NSE(Path/to/target_minicube, Path/to/prediction_minicube) Then compute the normalized NSE over the full dataset: import earthnet as en Then use the data_dir/dataset/split as the targets. Name your NDVI prediction variable as "ndvi_pred". Save your predictions for one test set in one folder in the following way: import earthnet as enĮn.download(dataset = "earthnet2021x", split = "train", save_directory = "data_dir") Install pip install earthnetĮnsure you have enough free disk space! We recommend 1TB. Solves key challenges of cloud data orchestration, deployment, and utilization, allowing to leverage industrial data for MLOps - AI deployment at scale.Find more information on. Removes organization silos and improves collaboration through multi-user access and a cloud-native, web-based environment Reduces risk through a holistic digital replica of the industrial reality, which combines all relevant data and creates ontology. Earthnet offers colocation, dedicated servers, managed services, cloud services and management, as well as IT consulting. Reduces cost through smart cloud consumption, effective data compression, increased efficiency and elimination of redundancy work EarthVIEW reads, digests, manipulates and formats all standard data types, so you can visualise all your well logs, seismic, crossplots, maps, tables and statistics in one place.ĮarthNET Data Management and Visualisation Benefits:Īccelerates delivery through streamlined data management, modern cloud computing, advanced visualization, and programmatic labeling. Contextualized insights are provided and the underlying risk and uncertainty are quantified and mitigated - replacing the guesswork with trusted information. Once data is loaded into EarthBANK, EarthVIEW acts as a holistic digital twin for the subsurface, enabling you to navigate and analyse your data. EarthBANK is OSDU ready and can work in conjunction with OSDU providing the additional contextualization needed to make data analytics-ready and enable data-driven decisions.Įxplore and visualise your data through a holistic digital twin It readily connects with Exploration and Production (E&P), operational technology (OT), and information technology (IT) systems and also provides read/write capabilities for key systems. EarthBANK is rich in its support of data types and integrations. EarthBANK enables you to make fast and accurate data-driven decisions, liberating, integrating, and contextualizing data from multiple source systems. EarthBANK is a high-quality industry-specialized DataOps platform providing digitalisation and contextualisation at scale for industry, making all industrial data accessible, understandable, and useful for people and machines. Organise, annotate and contextualise your data in one placeThe EarthBANK data platform represents the first step of your digitalisation journey, and it’s at the core of the EarthNET software. EarthNET provides a cloud-native and OSDU-compatible data platform for scalable data management and visualisation, enabling fast and accurate data-driven decisions. The companies that are best able to turn their data into insights, and their insights into actions, will outsmart and outperform their competition. Today, data has become one of the most valuable business assets.
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