Tools Archives - National Centre for Earth Observation

CARDAMOM

The CARbon DAta MOdel fraMework (CARDAMOM) is used to extract ecological knowledge on the state, dynamics and functioning of terrestrial ecosystem. CARDAMOM does this by combining observations, their uncertainties, ecological theory, and process-models using Bayesian algorithms.

CARDAMOM estimates the parameter distributions for a suite of intermediate complexity models of the terrestrial ecosystem (DALEC). The retrieved DALEC parameters are estimated independently for every location CARDAMOM is applied based on the local information.

CARDAMOM provides us with fully resolved uncertainty information varying in space and time. CARDAMOM has been applied site, regional and global scales, to investigate the impacts of climate, grassland grazing, arable agriculture, forestry management and fire impacts and more.
CARDAMOM and its integrated (but readily modifiable) DALEC suite of process-model are written in Fortran with control code in R. CARDAMOM and DALEC are open-source, available via Github.

Contact: Luke Smallman (NCEO/Edinburgh)

ESA PyOSSE – Package for Observation System Simulation Experiments

Observation System Simulation Experiments (OSSE) are a cost-effective numerical approach to realistically describe space-borne measurements and to evaluate their impact on current knowledge as part of preparing a science case for a particular space-borne mission; in our example experiment we quantify the impact of atmospheric measurements of a trace gas on improving our current prior understanding of surface fluxes (emission minus uptake) of that gas.
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Contact: Liang Feng (NCEO/Edinburgh)

Aggregated Canopy Model (ACM)

ACMv1 (Williams et al., 1997) and ACMv2 (Smallman & Williams 2019) are daily to monthly time step emulators of gross ecosystem fluxes. Both ACMs simulate canopy scale photosynthetic activity (gross primary productivity, GPP) while ACMv2 also includes a simple, but realistic ecohydrological model of the soil-plant-atmosphere continuum estimating transpiration, evaporation from the soil surface and of intercepted rainfall from the canopy surface, soil runoff and drainage. The ACM models can be used independently or integrated within the DALEC suite of intermediate complexity terrestrial ecosystem models. They are written in Fortran with control code written in R.

Contact: Luke Smallman (NCEO/Edinburgh)

NCEO ARD STAC API

This tool is the backend for the NCEO ARD STAC catalogue, which automatically ingests the new satellite images processed on the JASMIN platform and deals with user queries with different filtering criteria. This provides a single URL API for the entire NCEO ARD dataset.

Contact: Feng Yin (NCEO/UCL)

NCEO ARD browser

This tool is the web map interface to the NCEO Analysis Ready Data (ARD) generated with the SIAC method for Sentinel-2 data. It allows users to easily find and display the Sentinel-2 images over a map and do simple spectral indices over different satellite images.

Contact: Feng Yin (NCEO/UCL)

ARC (Crop biophysical parameters retrieval from Sentinel 2)

The ARC module, implemented in Python, facilitates the retrieval of crop biophysical parameters from time-series data of Sentinel-2 multispectral reflectance. This module encompasses an archetype model that describes the evolution of crop biophysical parameters over time. By feeding the archetype time series of these parameters to the PROSAIL model, it simulates the hyperspectral reflectance time series. An ensemble-based solver is employed to compute the biophysical parameters by matching the modelled reflectance as closely as possible to the actual Sentinel-2 reflectance.

Contact: Feng Yin (NCEO/UCL)

SIAC (atmospheric correction)

This atmospheric correction method uses MODIS MCD43 BRDF product to get a coarse resolution simulation of earth surface. A model based on MODIS PSF is built to deal with the scale differences between MODIS and Sentinel 2 / Landsat 8. We uses the ECMWF CAMS prediction as a prior for the atmospheric states, coupling with 6S model to solve for the atmospheric parameters. We do not have topography correction and homogeneous surface is used without considering the BRDF effects.

Contact: Feng Yin (NCEO/UCL)

Terrestrial laser scanning (TLS) tools: individual tree extraction and modelling

Tools for processing and analysing TLS point cloud data, in particular to extract individual trees from point clouds containing many trees. A series of iterative clustering, filtering and pruning operations carried out to assess the contents of a point cloud for tree objects and then to extract these, automatically. The result of this can then be used in quantitative reconstruction modelling tools.

Contact: Mat Disney (NCEO/UCL)

4DEnVar for Python

Model independent implementations of the 4DEnVar Data Assimilation algorithm which NCEO use with the JULES model. Using an ensemble of model predictions of observed quantities the algorithm returns estimates of the distribution of the true value of the model parameters and/or initial conditions.

Contact: Natalie Douglas (NCEO/Reading)

4DEnVar for C

Contact: Tristan Quaife (Reading)

BayesLC

This code implements a Monte Carlo sampler for drawing posterior
estimates of land cover from an existing land cover map and its
corresponding confusion matrix.

The algorithm is described in Cripps
et al. (2013) and its application to
GlobCover2009 data in Quaife and Cripps (2016)

Contact: Tristan Quaife (Reading)

GOTM (General Ocean Turbulence Model)

This tool is a one-dimensional water column model for marine and limnological applications. It is coupled to a choice of traditional as well as state-of-the-art parameterisations for vertical turbulent mixing.

Contact: Gennadi Lessin (PML)

STEP (ESA Science Toolbox Exploitation Platform)

Open source tool to process, analyse and visualise Earth Observation (EO) data from ESA’s missions and Third Party Missions. Developed to provide full support for ESA’s Sentinel missions (e.g., Sentinel-1, Sentinel-2, Sentinel-3) under a common architecture called Sentinel Application Platform (SNAP).

Contact: Joao Carreiras (NCEO/University of Sheffield)

PolSARpro (ESA Polarimetric SAR Data Processing and Educational Tool)

Open source tool to process, analyse and visualise multi-polarised Synthetic Aperture Radar (SAR) data acquired by ESA’s missions (e.g., Envisat ASAR, Sentinel-1), Third Party Missions (e.g., ALOS PALSAR, COSMO-SkyMed, RADARSAT-2, TerraSAR-X) and airborne missions (e.g., NASA/JPL AIRSAR, DLR E-SAR). Includes a fully polarimetric-interferometric coherent SAR scattering and imaging simulator on forest (PolSARproSim).

This tool is owned and maintained by a third party

Contact: Joao Carreiras (NCEO/University of Sheffield)

RAMI online model checker (ROMC)

Contact: Mat Disney (UCL)

3D Vegetation laboratory

3D EO simulation framework developed via ESA funding as part of the Support to Science Element (STSE). 3DVeglab provides an online toolbox of RT modelling tools to enable simulation of (optical) Sentinel 2, 3 and other sensors, for selected highly-detailed 3D modelled scenes. The 3D Veglab toolbox contains 2 different 3D MCRT models, librat developed at UCL and DART developed at CESBIO. 3DVeglab was developed to work as a plug-in module for the ESA BEAM toolkit.

Contact: Mat Disney (NCEO/UCL)

GEOS-Chem

A global 3D chemical transport model for atmospheric composition driven by meteorological input from the Goddard Earth Observing System (GEOS) of the NASA Global Modeling and Assimilation Office.

Contact: Paul Palmer (NCEO/University of Edinburgh)

TOMCAT

A global troposphere-stratosphere chemical transport model usually driven by meteorological data from the European Centre for Medium-Range Weather Forecasts (ECMWF). Used for interpreting satellite observations and forward model sensitivity experiments. The model framework also contains the INVICAT 4D-var inverse model.

Contact: Martyn Chipperfield (NCEO/University of Leeds)

Atmospheric Infrared Spectrum Atlas

The Atmospheric Infrared Spectrum Atlas provides spectra for a wide range of molecules in Earth’s atmosphere. This website includes zenith absorption/optical thickness and limb radiance spectra on fully interactive graphs which can be customised show specific molecules, spectral ranges and satellite bands.

Contact: Anu Dudhia (NCEO/University of Oxford)

Reference Forward Model (RFM)

The RFM is a line-by-line radiative transfer model. RFM maintenance and development is currently supported by NCEO. Extensive online documentation can be found on the Reference Forward Model website. Download the source code here.
Contact: Anu Dudhia (University of Oxford)

DALEC

CARDAMOM uses a Bayesian approach to combine models with observations and their uncertainties with the aim of generating robust, uncertainty quantified parameterisation of terrestrial ecosystem models (Bloom et al., 2016). CARDAMOM estimates parameters for each site or location uniquely based on the in available observations for that location. CARDAMOM can be applied at either site (Smallman et al., 2017), regional (Smallman et al., 2021) and global (Bloom et al., 2016) scales. The DALEC and ACM models are integrated into CARDAMOM providing a readily available library of models. CARDAMOM is written in Fortran with control code written in R. PRIVATE Github repository email the owner for permssion to access.
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Contact: Luke Smallman (NCEO/Edinburgh)