Papers on SPIRITS
- Remote sensing time series analysis for crop monitoring with the SPIRITS software: new functionalities and use examples
» moreFelix Rembold, Michele Meroni, Ferdinando Urbano, Antoine Royer, Clement Atzberger, Guido Lemoine, Herman Eerens and Dominique Haesen, 2015, Frontiers in Environmental Science. In this paper the new features of SPIRITS software are illustrated and a number of study cases are provided. In the conclusions, possible direction for the medium and long term development are discussed.
- Image time series processing for agriculture monitoring
» moreHerman Eerens, Dominique Haesen, Felix Rembold, Ferdinando Urbano, Carolien Tote, Lieven Bydekerke, 2014, Environmental Modelling and Software.
In this paper the SPIRITS software is presented and described to the scientific community as a stand-alone toolbox developed for environmental monitoring, particularly to produce clear and evidence-based information for crop production analysts and decision makers.
Papers related to SPIRITS
- Using Low Resolution Satellite Imagery for Yield Prediction and Yield Anomaly Detection
» moreFelix Rembold, Clement Atzberger, Igor Savin, Oscar Rojas, 2013
This review article describes the use of low and medium resolution satellite images for crop modelling and in particular for yield prediction. Many of the mentioned image time series processing operations, such as time series smoothing, computation of anomalies and extraction of spatially aggregated statistics can also be done in SPIRITS.
- Assessing drought probability for agricultural areas in Africa with coarse resolution remote sensing imagery
» moreOscar Rojas, Anton Vrieling, Felix Rembold, 2013
The paper presents a method for computing agricultural drought probability based on time series analysis of a remote sensing derived vegetation health indicator (VHI). The processing steps of the methodology have been included in SPIRITS.
SPIRITS at work
- Using SPIRITS for Environmental risk management: a study case in Morocco
» moreAsmae Zbiri, Dominique Haesen, Hamid Mahyou, 2017
This hands-on road map takes you from the fundamentals of Environmental risk management to implementing proven strategies in a real-world environment using SPIRITS software.
Presentations on SPIRITS
- Introduction to SPIRITS
» moreFelix Rembold, Carolien Tote, Herman Eerens, Dominique Haesen, Sven Gilliams, Lieven Byderkerke, 2013
General presentation given by Felix Rembold (JRC-MARS) and Carolien Tote (VITO) at the Official launch of SPIRITS at the Global Geospatial Conference Addis Ababa, Ethiopia on 6/11/2013. The SPIRITS demo shown during the launch event is also available.
- Use of SPIRITS for Crop and Pasture Monitoring in Somalia, FSNAU
» moreAlex Koton, 2013
Introduction to the operational use of SPIRITS at FSNAU, given by Alex Koton at the Global Geospatial Conference Addis Ababa, Ethiopia on 6/11/2013.
- Use of SPIRITS software in the AMESD/MESA SADC Thematic Action
» moreFarai Marumbwa, 2013
Introduction to the operational use of SPIRITS at AMESD/MESA SADC Thema, given by Farai Marumbwa at the Global Geospatial Conference Addis Ababa, Ethiopia on 6/11/2013.
Presentations related to SPIRITS
- Estimating the probability of crop productivity deficit in food insecure countries
» moreFerdinando Urbano, Giancarlo Pini, Felix Rembold, Michele Meroni, Giancarlo Pini, Michel Verstraete, Francois Kayitakire, 2013
Presentation at the Global Geospatial Conference Addis Ababa, Ethiopia on 6/11/2013. Authors illustrate a synthetic index based on low resolution and freely available satellite data to quantitatively assess the probability of a crop production deficit at harvest time. It is based on the cumulate of FAPAR from the start of the season, projected into the future (end of the season) according to the information recorded in the past years. SPIRITS has been used for data processing.
- The use of high resolution satellite data for crop monitoring and damage assessment in Ethiopia (West-Shewa)
» moreIsabelle Piccard, Carolien Tote, Ozüm Durgun, Seyfu Bekele, Teshome Erkineh, 2013
Presentation at the Global Geospatial Conference Addis Ababa, Ethiopia on 6/11/2013. In the frame of the ISAC project, funded by the European Commission’s 7th Framework Programme, prototype products and services were developed and demonstrated for providing information on agriculture and the agro-environment in Europe and Africa. Spatial information on drought risk and on agricultural productivity was derived from time series of high frequency, high resolution (< 30m) satellite images, such as DMC, Deimos-1 and Landsat-TEM/ETM+. For what concerns Africa, these services particularly served the needs of the food security sector, in support of early warning activities, thereby improving current services which are mainly based on low to medium resolution satellite data (SPOT-VGT, MODIS), and served the development of micro-insurance products.
In 2012 the ISAC services were demonstrated in Ethiopia (West-Shewa province). High resolution vegetation indices (NDVI) and biophysical parameters (fAPAR, LAI and fCover) were produced from May till December 2012. To assess whether the Meher crops were growing well or not, anomaly maps were generated, comparing the actual situation with average conditions. Because of the lack of high resolution archive data, MODIS data were used to build a “historical archive at high resolution” as the MODIS sensor on the one hand and DMC, Deimos-1 and Landsat sensors on the other hand are quite comparable from a spectral point of view. Extensive field surveys were organized to validate the anomaly maps. Road surveys were organized to assess crop development stage and possible anomalies. In a number of key areas farmers were interviewed to obtain more detailed information on their agricultural practices, problems that may have occurred during the season and finally on the crop yields they obtained.
- Overview of improved use of RS indicators at INAM
» moreDomingos Mosquito Patricio, 2013
Presentation at the Global Geospatial Conference Addis Ababa, Ethiopia on 6/11/2013. Rainfed agriculture in Mozambique is the main socio-economic activity, involving 80% of the population of the country. Water, coming from precipitation, is the main limitation for vegetation development and crop growth. As a result, food security depends mainly on precipitation which is unpredictable and variable in both time and space. An excess or deficit of water due to rainfall variability will affect the vegetation/crops along their growing cycle. Therefore, there is a need for a continuous multi-temporal and spatially explicit monitoring process of water availability, in order to help decision making processes. The national meteorological stations network is sparse and not representative to be used for spatially explicit precipitation monitoring focusing to the agriculture sector in terms of onset and end of the rains. For this reason, the use of satellite remote sensing products with relatively high temporal but low spatial resolution such as the rainfall estimates (RFE) and the Normalized Difference Vegetation Index (NDVI) can be a better alternative for monitoring vegetation/crops growing cycle. The NDVI gives a general idea on vegetation status, and by comparing actual values to long term averages over the same period of the year, anomalies in vegetation/crop growth can be identified. A time series analysis of RFE and NDVI using SPIRITS software can be a valuable option for vegetation/crops monitoring as well as to detect their response to water availability. This is important information for yield evaluation and prediction. The quick looks of RFE and NDVI time series images combined with the ENSO information, in-situ rainfall and crop yield data may help to detect the anomalous situations such as failure of the season due to drought or floods. In addition, this near-real time monitoring process can help on the preparedness of action plans to overcome any anomalous situation for right decision making on food security. The final goal is to derive new products that can be used in the regularly published meteorological bulletins in order to analyse the ongoing season. Preliminary results show that RFE and NDVI are useful sources of information to analyse the start and end of the seasons and to evaluate impacts of rainfall on vegetation and crops. The season in Mozambique in general starts in October and ends between March and April. Usually, the peak of rainfall is followed by the peak of NDVI due to the fact that plants react to rainfall with one to two decades time lag. Output products include maps of actual vegetation and rainfall and anomalies, maps of the start of season shift and graphs of temporal evolution. The SPIRITS software includes functions to automate the data processing chain in an operational framework.
- Early warning analysis for crop and pastureland monitoring in Senegal: a contribution to food security
» moreMouhamadou Bamba Diop, Abdoul Aziz Diouf, Gayane Faye, Carolien Tote, Antoine Royer, El Hadji Mamadou Ngom, 2013
Presentation at the Global Geospatial Conference Addis Ababa, Ethiopia on 6/11/2013. Agriculture is a key economic sector in Africa with more than 60% of its population depending upon it. FAO estimates that nearly 265 Million people are currently under nourished in Sub-Saharan Africa, representing more than 25% of its total population. Good management of agricultural resources, in order to ensure stable food supply, is imperative to the livelihoods of millions of people and is key for development, but requires good information to base decisions on. Remote sensing can contribute significantly to these information needs and for this reason more and more institutes and agencies integrate this technology into their daily work. Among the GMFS (Global Monitoring For Food Security) and AGRICAB project (FP7- project), the main focus is to link European and African research capacity in the use of remote sensing for agriculture and forestry management In Senegal, rainfall is concentrated between July and August and it’s associated with a strong spatial and temporal variability; also dry spells can affect crops and rangeland production». A large part of the Senegalese population lives in rural areas, and thus depends on early identification and localization of drought affected areas. This presentation focuses on new methodologies for the integration of time series of low spatial-high temporal resolution SPOT-Veg.
If you publish a paper, a report or a presentation related to SPIRITS or with material produced using SPIRITS, please let us know and share your experience with the SPIRITS community!