Sytze de Bruin

Sytze de Bruin
Wageningen University & Research | WUR · Laboratory of Geo-Information Science and Remote Sensing

PhD

About

188
Publications
69,245
Reads
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4,827
Citations
Citations since 2017
52 Research Items
2938 Citations
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Introduction
My research and courses focus on quantitative methods for spatial data analysis (including data acquired by remote sensing), spatial data quality, geostatistics, spatial optimization, uncertainty propagation and risk analysis. I have been involved in several projects on precision agriculture.
Education
January 1996 - May 2000
Wageningen University & Research
Field of study
  • Geographical information science

Publications

Publications (188)
Article
Methods for accurately estimating within-field yield are essential to improve site-specific crop management and resource use efficiencies, which would be a major step toward sustainable intensification of agricultural systems. We set out to assess the accuracy of within-field soybean yields predicted by two data assimilation methods and to assess t...
Preprint
Full-text available
The global potential distribution of biomes (natural vegetation) was modelled using 8959 training points from the BIOME 6000 dataset and a stack of 72 environmental covariates representing terrain and the current climatic conditions based on historical long term averages (1979–2013). An ensemble machine learning model based on stacked regularizatio...
Article
National forest inventories (NFI) provide essential forest-related biomass and carbon information for country greenhouse gas (GHG) accounting systems. Several tropical countries struggle to execute their NFIs while the extent to which space-based global information on aboveground biomass (AGB) can support national GHG accounting is under investigat...
Article
Full-text available
National forest inventories (NFIs) are a reliable source for national forest measurements. However, they are usually not developed for linking with remotely sensed (RS) biomass information. There are increasing needs and opportunities to facilitate this link toward better global and national biomass estimation. Thus, it is important to study and un...
Data
The document provides information for transparency and reproducibility of the study according to the standard for species distribution modeling (ODMAP protocol) from Zurrell et al. (2020). Additional information reported include: (1) implementation strategy and results of spatial filtering operation, (2) hyperparameter space for model optimization...
Article
Full-text available
This paper describes a data-driven framework based on spatiotemporal machine learning to produce distribution maps for 16 tree species (Abies alba Mill., Castanea sativa Mill., Corylus avellana L., Fagus sylvatica L., Olea europaea L., Picea abies L. H. Karst., Pinus halepensis Mill., Pinus nigra J. F. Arnold, Pinus pinea L., Pinus sylvestris L., P...
Article
Full-text available
Location-specific information is required to support decision making in crop variety management, especially under increasingly challenging climate conditions. Data synthesis can aggregate data from individual trials to produce information that supports decision making in plant breeding programs, extension services, and of farmers. Data from on-farm...
Preprint
Full-text available
This paper describes a data-driven framework based on spatiotemporal machine learning to produce distribution maps for 16 tree species (Abies alba Mill., Castanea sativa Mill., Corylus avellana L., Fagus sylvatica L., Olea europaea L., Picea abies L. H. Karst., Pinus halepensis Mill., Pinus nigra J. F. Arnold, Pinus pinea L., Pinus sylvestris L., P...
Poster
Full-text available
The poster describes a data-driven framework based on spatio-temporal ensemble machine learning to produce distribution maps for 16 tree species at high spatial resolution (30m). Tree occurrence data for a total of 3 million of points was used to train different Machine Learning (ML) algorithms: random forest, gradient-boosted trees, generalized li...
Article
Full-text available
Mapping of environmental variables often relies on map accuracy assessment through cross-validation with the data used for calibrating the underlying mapping model. When the data points are spatially clustered, conventional cross-validation leads to optimistically biased estimates of map accuracy. Several papers have promoted spatial cross-validati...
Article
Full-text available
Over the past decade, several global maps of above-ground biomass (AGB) have been produced, but they exhibit significant differences that reduce their value for climate and carbon cycle modelling, and also for national estimates of forest carbon stocks and their changes. The number of such maps is anticipated to increase because of new satellite mi...
Article
Full-text available
As farming machinery size and weight increases, soil compaction continues to threaten mechanized agriculture. Controlled Traffic Farming (CTF) minimizes soil compaction in the crop zone by restricting traffic to permanent tracks. The adoption of CTF in Europe is low. This study enhances the understanding of farmers' needs and perceptions concerning...
Preprint
Full-text available
This paper describes a data-driven framework based on spatiotemporal machine learning to produce distribution maps for 16 tree species (Abies alba Mill., Castanea sativa Mill., Corylus avellana L., Fagus sylvatica L., Olea europaea L., Picea abies L. H. Karst., Pinus halepensis Mill., Pinus nigra J. F. Arnold, Pinus pinea L., Pinus sylvestris L., P...
Article
Full-text available
Annual global land cover maps (GLC) are being provided by several operational monitoring efforts. However, map validation is lagging, in the sense that the annual land cover maps are often not validated. Concurrently, users such as the climate and land management community require information on the temporal consistency of multi-date GLC maps and s...
Article
Full-text available
For decades scientists have produced maps of biological, ecological and environmental variables. These studies commonly evaluate the map accuracy through cross-validation with the data used for calibrating the underlying mapping model. Recent studies, however, have argued that cross-validation statistics of most mapping studies are optimistically b...
Article
Full-text available
The terrestrial forest carbon pool is poorly quantified, in particular in regions with low forest inventory capacity. By combining multiple satellite observations of synthetic aperture radar (SAR) backscatter around the year 2010, we generated a global, spatially explicit dataset of above-ground live biomass (AGB; dry mass) stored in forests with a...
Article
Full-text available
Estimates of the area of land cover classes or land change are frequently calculated from land cover classification maps by counting the pixels labeled as each class in the map. This procedure is known to produce biased estimates of area for many widely used classification algorithms, including random forests. Poststratification estimation using th...
Article
Full-text available
Managing forests for climate change mitigation requires action by diverse stakeholders undertaking different activities with overlapping objectives and spatial impacts. To date, several forest carbon monitoring systems have been developed for different regions using various data, methods and assumptions, making it difficult to evaluate mitigation p...
Book
Full-text available
the full text can be found at: https://lpvs.gsfc.nasa.gov/PDF/CEOS_WGCV_LPV_Biomass_Protocol_2021_V1.0.pdf
Article
Full-text available
The use of spectral data is seen as a fast and non-destructive method capable of monitoring pasture biomass. Although there is great potential in this technique, both end users and sensor manufacturers are uncertain about the necessary sensor specifications and achievable accuracies in an operational scenario. This study presents a straightforward...
Article
Full-text available
Efforts to reduce emissions from deforestation and forest degradation and enhancing forest carbon stocks (REDD+) have evolved over the past decade. Early REDD+ programs and local/subnational projects used various interventions (i.e. enabling measures, disincentives and incentives), implemented by government, the commercial and non-commercial privat...
Article
Full-text available
Crop varieties should fulfill multiple requirements, including agronomic performance and product quality. Variety evaluations depend on data generated from field trials and sensory analyses, performed with different levels of participation from farmers and consumers. Such multi-faceted variety evaluation is expensive and time-consuming; hence, any...
Preprint
Full-text available
The terrestrial forest carbon pool is poorly quantified, in particular in regions with low forest inventory capacity. By combining multiple satellite observations of synthetic aperture radar (SAR) backscatter around the year 2010, we generated a global, spatially explicit dataset of above-ground forest biomass (dry mass, AGB) with a spatial resolut...
Article
Full-text available
River discharges are often predicted based on a calibrated rainfall-runoff model. The major sources of uncertainty, namely input, parameter and model structural uncertainty must all be taken into account to obtain realistic estimates of the accuracy of discharge predictions. Over the past years, Bayesian calibration has emerged as a suitable method...
Article
Full-text available
Large-scale land change maps are essential to support policies addressing land transformations. Calibration and validation of large-scale land change maps require reference data that are commonly acquired by visual interpretation of remotely sensed images. However, visual interpretation itself is prone to error. Little is known about factors influe...
Article
Full-text available
Reference data for large-scale land cover map are commonly acquired by visual interpretation of remotely sensed data. To assure consistency, multiple images are used, interpreters are trained, sites are interpreted by several individuals, or the procedure includes a review. But little is known about important factors influencing the quality of visu...
Article
Full-text available
To target food security interventions for smallholder households, decision makers need large-scale information, such as maps on poverty, food security and key livelihood activities. Such information is often based on expert knowledge or aggregated data, despite the fact that food security and poverty are driven largely by processes at the household...
Data
Maps of key indicators using LSMS data from 2010/11 and 2011/12. Overall patterns of the maps of key indicators for the LSMS data from 2010/11 and 2011/12 were similar with largest differences for food availability (FA) and the cattle contribution. (PDF)
Data
Difference maps comparing LSMS data from 2010/11 and 2011/12. Maps from 2011/12 are subtracted from maps from 2010/11. Positive results (green, yellow) indicate that FA or the contribution of the variable in 2010/11 was larger than in 2011/12. Negative results (white) indicate that FA or the contribution of the variable in 2010/11 was smaller than...
Data
Variogram models of the indicators. (PDF)
Data
Regression coefficients and significance of environmental explanatory variables multiple inflated beta regression model (MIBR-EV) for major crops contributing to the livelihood activity ‘crops’. (PDF)
Data
Regression coefficients and significance of environmental explanatory variables multiple inflated beta regression model (MIBR-EV) for major livestock groups ‘cattle’ and ‘poultry’ contributing to the livelihood activity ‘livestock’. (PDF)
Data
Regression coefficients and significance of environmental explanatory variables in multiple inflated beta regression model (MIBR-EV) for the dependent variables ‘crops’, ‘livestock’ and ‘off-farm income’ as livelihood activities contributing to food availability. (PDF)
Data
Root mean squared error maps comparing LSMS data from 2010/11 and 2011/12. Root mean squared error was calculated as: √((LSMS201011 − LSMS20112)2). It gives an indication about the spread between the two years. Maps indicate that differences between the two years were locally large (green) for banana and cattle contributions and less for cassava co...
Data
Food availability and livelihood activities as dependent variables for the regression analyses. (PDF)
Data
Regression coefficients and significance of environmental and household level explanatory variables multiple inflated beta regression model (MIBR-EVHR) for major livestock groups contributing to the livelihood activity ‘livestock’. (PDF)
Data
Regression coefficients and significance of environmental and household level explanatory variables in multiple inflated beta regression model (MIBR-EVHR) for the dependent variables ‘crops’, ‘livestock’ and ‘off-farm income’ as livelihood activities contributing to food availability. (PDF)
Data
Regression coefficients and significance of environmental and household level explanatory variables multiple inflated beta regression model (MIBR-EVHR) for major crops contributing to the livelihood activity ‘crops’. (PDF)
Article
Full-text available
Forests dominate carbon (C) exchanges between the terrestrial biosphere and the atmosphere on land. In the long term, the net carbon flux between forests and the atmosphere has been significantly impacted by changes in forest cover area and structure due to ecological disturbances and management activities. Current empirical approaches for estimati...
Article
Land cover identification and area quantification are key aspects in determining support payments to farmers under the European Common Agricultural Policy. Agricultural land is monitored using the Land Parcel Identification System and visual image interpretation. However, shadows covering reference parcel boundaries can hinder effective delineation...
Article
Rain gauge networks are crucial for enhancing the spatio‐temporal characterization of precipitation. In tropical regions, scarcity of rain gauge data, climatic variability, and variable spatial accessibility make conventional approaches to design rain gauge networks inadequate and impractical. In this study, we propose the use of conditioned Latin...
Technical Report
Full-text available
This report presents descriptive results from a recent survey conducted with the objective of assessing the use of Controlled Traffic Farming (CTF) practices and associated precision farming technologies among farmers in eight European countries. About 26 % of the surveyed farmers use some CTF systems of which 45 % apply CTF on their entire farm. F...
Article
The production of global land cover products has accelerated significantly over the past decade thanks to the availability of higher spatial and temporal resolution satellite data and increased computation capabilities. The quality of these products should be assessed according to internationally promoted requirements e.g., by the Committee on Eart...
Article
Full-text available
Increasing demand for food and the shortage of arable land call for sustainable intensification of farming, especially in Sub-Saharan Africa where food insecurity is still a major concern. Kenya needs to intensify its dairy production to meet the increasing demand for milk. At the same time, the country has set national climate mitigation targets a...
Article
Full-text available
With advances in technology and an increasing variety of inexpensive geosensors, environmental monitoring has become increasingly sensor-dense and real-time. Using sensor data streams enables real-time applications such as environmental hazard detection, or earthquake, wildfire or radiation monitoring. In-depth analysis of such spatial fields is o...
Poster
Full-text available
Complementing to the current production of global land cover maps, Copernicus Global Land Service (CGLS) aims to provide an operational yearly global land cover mapping from 2015 onwards with flexible thematic details. The first product was generated for Africa at 100m resolution and it includes discrete (with a fixed legend) and fractional (vegeta...
Article
Full-text available
Limited data exists on emissions from agriculture-driven deforestation, and available data are typically uncertain. In this paper, we provide comparable estimates of emissions from both all deforestation and agriculture-driven deforestation, with uncertainties for 91 countries across the tropics between 1990 and 2015. Uncertainties associated with...
Article
This paper introduces and tests a geostatistical spatiotemporal hurdle approach for predicting the spatial distribution of future deforestation (one to three years ahead in time). The method accounts for neighborhood effects by modeling the auto-correlation of occurrence and intensity of deforestation, using a spatiotemporal geostatistical specific...
Article
ABSTRACTThe carbon emissions and removals due to land cover changes between 2001 and 2010 in the Vu Gia Thu Bon River Basin, Central Vietnam, were estimated using Landsat satellite images and 3083 forest inventory plots. The net emissions from above- and belowground vegetation biomass were equal to 1.76 ± 0.12 Tg CO2, about 1.1% of the existing sto...
Article
Full-text available
The Agriculture, Forestry and Other Land Use (AFOLU) sector contributes with ca. 20–25 % of global anthropogenic emissions (2010), making it a key component of any climate change mitigation strategy. AFOLU estimates, however, remain highly uncertain, jeopardizing the mitigation effectiveness of this sector. Comparisons of global AFOLU emissions hav...
Article
Full-text available
Current methods for monitoring deforestation from satellite data at sub-annual scales require pixel time series to have many historical observations in the reference period to model normal forest dynamics before detecting deforestation. However, in some areas, pixel time series often do not have many historical observations. Detecting deforestation...
Article
Global scale land cover (LC) mapping has interested many researchers over the last two decades as it is an input data source for various applications. Current global land cover (GLC) maps often do not meet the accuracy and thematic requirements of specific users. This study aimed to create an improved GLC map by integrating available GLC maps and r...
Article
Full-text available
According to the latest report of the Intergovernmental Panel on Climate Change (IPCC), emissions must be cut by 41–72 % below 2010 levels by 2050 for a likely chance of containing the global mean temperature increase to 2 °C. The AFOLU sector (Agriculture, Forestry and Other Land Use) contributes roughly a quarter ( ∼ 10–12 Pg CO2e yr−1) of the ne...
Article
Soil erosion in arable fields is intensified on irregular surfaces. Although machine and crop-row patterns following terrain contours reduce runoff and increase water infiltration, these contours are almost never parallel while machine operations always are. In this work, a method is presented to generate patterns of machine paths on sloping land a...
Article
This paper describes an interactive web-based near real-time (NRT) forest monitoring system using four levels of geographic information services: 1) the acquisition of continuous data streams from satellite and community-based monitoring using mobile devices, 2) NRT forest disturbance detection based on satellite time-series, 3) presentation of for...
Article
According to the latest report of the Intergovernmental Panel on Climate Change (IPCC), emissions must be cut by 41–72 % below 2010 levels by 2050 for a likely chance of containing the global mean temperature increase to 2 °C. The AFOLU sector (Agriculture, Forestry and Other Land Use) roughly contributes with a quarter (~ 10–12 PgCO2e.yr−1) of the...
Article
Along with the creation of new maps, current efforts for improving global land cover (GLC) maps focus on integrating maps by accounting for their relative merits, e.g., agreement amongst maps or map accuracy. Such integration efforts may benefit from the use of multiple GLC reference datasets. Using available reference datasets, this study assesses...
Article
Lower than expected chlorophyll concentration of a plant can directly limit photosynthetic activity, and resultant primary production. Low chlorophyll concentration may also indicate plant physiological stress. Compared to other terrestrial vegetation, mangrove chlorophyll variations are poorly understood. This study quantifies the spatial distribu...