Desing and development of a robotic platform for the evaluation of search algorithms

Plant diseases represent a major economic and environmental problem in agriculture and forestry. Upon infection, a plant develops symptoms that affect different parts of the plant causing a significant agronomic impact. As many such diseases spread in time over the whole crop, a system for early disease detection can aid to mitigate the losses produced by the plant diseases and can further prevent their spread [1]. In recent years, several mathematical algorithms of search have been proposed [2,3] that could be used as a non-invasive, fast, reliable and cost-effective methods to localize in space infectious focus by detecting changes in the profile of volatile organic compounds. Tracking scents and locating odor sources is a major challenge in robotics, on one hand because odour plumes consists of non-uniform intermittent odour patches dispersed by the wind and on the other hand because of the lack of precise and reliable odour sensors. Notwithstanding, we have develop a simple robotic platform to study the robustness and effectiveness of different search algorithms [4], with respect to specific problems to be found in their further application in agriculture, namely errors committed in the motion and sensing and to the existence of spatial constraints due to land topology or the presence of obstacles.

Eliminación de nutrientes mediante el empleo de cultivos hidropónicos

La presente investigación se presenta como una alternativa para la reducción de la contaminación por nutrientes que produce el vertido de aguas residuales provenientes de núcleos urbanos que acaban en lagos, lagunas o embalses acelerando los procesos de eutrofización de los mismos. El objetivo de esta tesis es analizar la reducción de nutrientes, fundamentalmente nitrógeno, fósforo y potasio, del agua residual doméstica sometida a tratamiento a través de cultivos hidropónicos en un determinado periodo de tiempo, observando a su vez la evolución del cultivo seleccionado. El sistema se diseñó para funcionar en circuito cerrado con el agua residual circulando por entre las raíces de los vegetales estudiados. El cultivo seleccionado fue el “kenaf”, aunque después de mucho tiempo dedicado a la obtención de semillas de “kenaf “por diferentes proveedores, se decidió comenzar un primer ensayo utilizando plantas de aloe vera durante un periodo de un mes de verano. Se procedió a la colocación de plantas en un tubo conteniendo agua residual de una fosa séptica domiciliaria. La reducción de la DBO5 y la DQO fue notable aunque los resultados de la variación de nitratos y fosfatos no fueron concluyentes. Las altas temperaturas alcanzada en esas fechas por el agua circulante, finalmente imposibilitó la continuación del ensayo. Si bien esta primera puesta en marcha no resultó como se esperaba, aportó numerosa información para modificar el planteo del estudio, la forma de llevarlo a cabo y la puesta a punto de la propia instalación. El segundo ensayo se llevó a cabo en otoño con plantas de kenaf obtenidas del ensayo previo en suelo en una parcela piloto en los llanos de Villamartín, en la provincia de Cádiz. Antes de incorporar el agua al sistema hidropónico se analizaron todos los parámetros requeridos por la normativa española del agua para determinar su clasificación como agua residual doméstica. Luego se le dio seguimiento a la variación de los nutrientes, nitrógeno, fósforo y potasio a lo largo de varias semanas para evaluar la efectividad del tratamiento. Las plantas de kenaf continuaron su desarrollo utilizando las sustancias disueltas en el agua residual como única fuente de nutrientes disponible. This research is presented as an alternative to reduce the pollution that wastewater discharges from towns generate when they end in lakes, ponds and reservoirs, by accelerating the eutrophication processes. The objective of this thesis is to analyze the reduction of nutrients, mainly nitrogen, phosphorus and potassium, of domestic wastewater treated through hydroponics crops in a given period of time, noting at the same time the evolution of the selected crop. The system was designed to operate in closed circuit with the wastewater circulating through the roots of the studied plants. The selected crop was "kenaf", although after much time spent in obtaining seeds of "kenaf"by different vendors and the impossibility of achieving its germination; it was decided to start a first test using Aloe Vera plants for a period of one month in the summer. The plants were introduced in the holes of a tube containing septic wastewater. The BOD5 and COD reduction was remarkable though the results of the variation in nitrates and phosphates were inconclusive. High temperatures achieved in those dates by circulating water, eventually precluded the continuation of the test. Although this first implementation was not running as expected, it provided information to modify the proposal of the study, the way to carry it out and the development of the installation itself. The second test was conducted in autumn with kenaf plants obtained from the previous test in a pilot plant in the flatness of Villamartín, province of Cádiz. Before adding the water to the hydroponic system all the parameters required by the Spanish water regulations were analyzed to determine their classification as domestic waste water. Then, the variation of nutrients, nitrogen, phosphorus and potassium was tracking over several weeks to evaluate the effectiveness of the treatment. Kenaf plants continued its development using the substances dissolved in wastewater as sole source of nutrients available.

Arquitectura y construcción, paisaje y territorio : los refugios de la Cuenca Alta del río Tajo

La Tesis estudia un tipo de refugio ganadero de la Cuenca Alta del río Tajo, conocidos como chozones. Singular arquitectura ligada a la ganadería extensiva ovina que servía de abrigo al ganado durante la noche invernal y umbráculo en estío. Construcciones de muros bajos de mampuesto colocados a hueso de planta circular o rectangular, levantadas alrededor de una estructura leñosa o un árbol en posición de vida que soportan una cubierta de ramas de la poda de la sabina. Son cientos diseminados por toda la región, si bien concentrados en la Sesma del sabinar, una de las cuatro divisiones históricas del Señorío de Molina. La decadencia de la ganadería en la comarca, sumada a otras causas de sociales y económicas, ha llevado a que estén cada vez en peor estado de conservación; con todo lo que ello supone de pérdida de una memoria histórica inseparable del paisaje del que son parte. Mi primera aproximación a estos refugios fue una oferta que aceptó el equipo de dirección del Parque Natural del Alto Tajo para catalogar los que se encontraban en su área de protección, un paisaje de Alto Valor Natural donde la ganadería ha sido el sustento tradicional. Tras terminar el inventario se produjo el gran incendio en Riba de Saélices (2005). Además de calcinar a 11 retenes voluntarios, quemó parte de las chozones inventariados. Tomé entonces consciencia de la fragilidad de este patrimonio popular y del valor que cobraba el trabajo realizado, pues en muchos casos era el único testimonio que había de los chozones desaparecidos. De ahí nació esta investigación. Al comienzo el enfoque analítico fue eminentemente disciplinar, como recoge la primera parte del título de la tesis: arquitectura y construcción. Pronto comprendí que este enfoque no era suficiente para entender las preguntas dejadas abierta por el análisis espacial, tales como su origen, razón de ser, función social, etc. Profundizando en estos temas la investigación fue haciéndose más amplia y transversal, hasta llegar a lo indicado en la segunda parte del título: paisaje y territorio. En síntesis, la tesis pasó del análisis de un objeto en sí a su entendimiento como parte de una sociedad y un paisaje del que es indisoluble. Para lograr estos objetivos transversales, los refugios ganaderos se estudiaron considerando desde sus aspectos geográficos e históricos a los propios de la arquitectura y del sistema ganadero que acoge. A cada enfoque se dedica un capítulo de la Tesis, lo que nos obligó a utilizar distintas metodologías de análisis: de un amplio trabajo de campo para catalogar y levantar los casi un centenar de chozones inventariados a la búsqueda de información documental en archivos históricos. Por el carácter del estudio fue también fundamental la revisión del material etnográfico de la zona, así como las entrevistas con vecinos y los pocos pastores que quedaban en los municipios estudiados. Los resultados de la Tesis muestran que los refugios ganaderos son construcciones con una serie de valores de distinto tipo. Entre ellos destacaría: (a) ambientales, porque son arquitecturas integradas en el medio ambiente, con empleo de materiales del territorio y adaptación a sus condiciones físicas; (b) históricos, porque son testimonio de un patrimonio arquitectónico que al menos desde la Edad Media se mantiene sin apenas modificaciones; (c) etnográficos, porque son un elemento arquitectónico con usos estrechamente ligados a la cultura tradicional, ganadera y rural de la cuenca del Alto Tajo. Tan clara es la relación entre estos tres aspectos que no es exagerado afirmar que desde el comienzo hasta su final, pasando por las distintas actividades cotidianas, la vida de los habitantes de la comarca giraba en torno al patrimonio vernáculo estudiado. Por ello, entendemos que todos estos elementos son lo suficientemente relevantes como para intentar evitar su destrucción, fomentar una reutilización que contribuya a un desarrollo sostenible de este singular paisaje etnológico. ABSTRACT My first approach to these refugees was commissioned by the management of the Alto Tajo Natural Park to catalog those who were in their protection area, a landscape of high natural value where livestock has been the traditional livelihood. After completing the inventory came the great fire in Riba de Saelices (2005). Besides calcine 11 firefighters, burned many of these popular architectures. I took then awareness of the fragility of this vernacular heritage and the value of the work charged, since in many cases it was the only witness who had disappeared from the shelters. At that time, this research was born. At the begging our study was eminently from the point of view of our discipline, as it picks up the first part of the title of the Thesis: architecture and construction. Soon I realized that this approach was not sufficient to understand the questions left open by the spatial analysis, such as its origin, purpose, social function, etc. By studying topics, my research become to be more comprehensive and transversal, up to coming to the indicated in the second part of the title: landscape and territory. In synthesis, the Thesis went on from the analysis of an object in itself to its understanding like part of a society and a landscape of which it is indissoluble. To achieve these cross-cutting objectives, livestock shelters were studied considering from its geographic and historic aspects to this relating to his architecture own the livestock system to which they belong. To each approach we devoted a chapter of the Thesis, which forced us to use different methodologies of analysis: an extensive field work in cataloguing and lift the nearly a hundred chozones inventoried to the search of documentary information in historical archives. By the nature of the study, the review of the ethnographic material in the area was also essential, as well as interviews with neighbors and the few remaining shepherds in the municipalities studied. The results of our Thesis show that livestock shelters are constructions with a series of values of different types. Among them I would highlight three: (a) environmental, because they are architectures integrated in the territory, with the use of materials of the location and adapted to their physical conditions; (b) historical, because they are testimony of an architectural heritage that at least since the Middle Ages remains with little modifications; (c) ethnographic, because they are architectural elements closely linked to livestock, rural and traditional culture of the Alto Tajo basin. So clear is the relationship between these three aspects, that is not an exaggeration to say that from the beginning until the end, passing through the various daily activities, the life of the inhabitants of the region was in completed connection with the studied vernacular heritage. For it, we understand that all these elements are relevant enough to try to prevent their destruction and promote a recycling that contributes to a sustainable development of this unique ethnological landscape.

Influence of denitrifiers abundance on N2O emissions in long term tillage system under a rainfed legume crop

Current studies about nitrous oxide (N2O) emissions from legume crops have raised considerable doubt, observing a high variability between sites (0.03-7.09 kg N2O–N ha−1 y -1) [1]. This high variability has been associated to climate and soil conditions, legume species and soil management practices (e.g. conservation or conventional tillage). Conservation tillage (i.e. no tillage (NT) and minimum tillage (MT)) has spread during the last decades because promotes several positive effects (increase of soil organic content, reduction of soil erosion and enhancement of carbon (C) sequestration). However, these benefits could be partly counterbalanced by negative effects on the release of N2O emissions. Among processes responsible for N2O production and consumption in soils, denitrification plays an importantrole both in tilled and no-tilled ropping systems [2]. Recently, amplification of functional bacterial genes involved in denitrification is being used to examine denitrifiers abundance and evaluate their influence on N2O emissions. NirK and nirS are functional genes encoding the cytochrome cd1 and copper nitrite reductase, which is the key enzyme regulating the denitrification process.

Automatic expert system based on images for accuracy crop row detection in maize fields

This paper proposes an automatic expert system for accuracy crop row detection in maize fields based on images acquired from a vision system. Different applications in maize, particularly those based on site specific treatments, require the identification of the crop rows. The vision system is designed with a defined geometry and installed onboard a mobile agricultural vehicle, i.e. submitted to vibrations, gyros or uncontrolled movements. Crop rows can be estimated by applying geometrical parameters under image perspective projection. Because of the above undesired effects, most often, the estimation results inaccurate as compared to the real crop rows. The proposed expert system exploits the human knowledge which is mapped into two modules based on image processing techniques. The first one is intended for separating green plants (crops and weeds) from the rest (soil, stones and others). The second one is based on the system geometry where the expected crop lines are mapped onto the image and then a correction is applied through the well-tested and robust Theil–Sen estimator in order to adjust them to the real ones. Its performance is favorably compared against the classical Pearson product–moment correlation coefficient.

Replacing bare fallow with cover crops in an irrigated cropping system: soil salinity and salt leaching

In irrigated areas where cover crop establishment can be assured, consequent soil or nutrient conservation could increase sustainability of cropping systems. Replacing bare fallow with cover crops may increase sustainability by enhancing soil aggregate stability, water retention capacity or controlling nitrate leaching. Nevertheless, adoption of cover crops increase evapotranspiration and reduce water percolation beyond the root systems; therefore, it could lead to salt accumulation in the upper soil layers. This study was conducted during four years to determine the effect of replacing bare fallow by a cover crop on soil salt accumulation and salt leaching in an irrigated maize production system.

Evapotranspiration of grapevine trained to a gable trellis system under netting and black plastic mulching

The evapotranspiration (ET c) of a table grape vineyard (Vitis vinifera, cv. Red Globe) trained to a gable trellis under netting and black plastic mulching was determined under semiarid conditions in the central Ebro River Valley during 2007 and 2008. The netting was made of high-density polyethylene (pores of 12 mm2) and was placed just above the ground canopy about 2.2 m above soil surface. Black plastic mulching was used to minimize soil evaporation. The surface renewal method was used to obtain values of sensible heat flux (H) from high-frequency temperature readings. Later, latent heat flux (LE) values were obtained by solving the energy balance equation. For the May–October period, seasonal ET c was about 843 mm in 2007 and 787 mm in 2008. The experimental weekly crop coefficients (K cexp) fluctuated between 0.64 and 1.2. These values represent crop coefficients adjusted to take into account the reduction in ET c caused by the netting and the black plastic mulching. Average K cexp values during mid- and end-season stages were 0.79 and 0.98, respectively. End-season K cexp was higher due to combination of factors related to the precipitation and low ET o conditions that are typical in this region during fall. Estimated crop coefficients using the Allen et al. (1998) approach adjusting for the effects of the netting and black plastic mulching (K cFAO) showed a good agreement with the experimental K cexp values.

Real-time image processing for crop/weed discrimination in maize fields

This paper presents a computer vision system that successfully discriminates between weed patches and crop rows under uncontrolled lighting in real-time. The system consists of two independent subsystems, a fast image processing delivering results in real-time (Fast Image Processing, FIP), and a slower and more accurate processing (Robust Crop Row Detection, RCRD) that is used to correct the first subsystem's mistakes. This combination produces a system that achieves very good results under a wide variety of conditions. Tested on several maize videos taken of different fields and during different years, the system successfully detects an average of 95% of weeds and 80% of crops under different illumination, soil humidity and weed/crop growth conditions. Moreover, the system has been shown to produce acceptable results even under very difficult conditions, such as in the presence of dramatic sowing errors or abrupt camera movements. The computer vision system has been developed for integration into a treatment system because the ideal setup for any weed sprayer system would include a tool that could provide information on the weeds and crops present at each point in real-time, while the tractor mounting the spraying bar is moving

Continuous multi-criteria methods for crop and soil conservation planning on La Colacha (Río Cuarto, Province of Cordoba, Argentina)

Agro-areas of Arroyos Menores (La Colacha) west and south of Rand south of R?o Cuarto (Prov. of Cordoba, Argentina) basins are very fertile but have high soil loses. Extreme rain events, inundations and other severe erosions forming gullies demand urgently actions in this area to avoid soil degradation and erosion supporting good levels of agro production. The authors first improved hydrologic data on La Colacha, evaluated the systems of soil uses and actions that could be recommended considering the relevant aspects of the study area and applied decision support systems (DSS) with mathematic tools for planning of defences and uses of soils in these areas. These were conducted here using multi-criteria models, in multi-criteria decision making (MCDM); first of discrete MCDM to chose among global types of use of soils, and then of continuous MCDM to evaluate and optimize combined actions, including repartition of soil use and the necessary levels of works for soil conservation and for hydraulic management to conserve against erosion these basins. Relatively global solutions for La Colacha area have been defined and were optimised by Linear Programming in Goal Programming forms that are presented as Weighted or Lexicographic Goal Programming and as Compromise Programming. The decision methods used are described, indicating algorithms used, and examples for some representative scenarios on La Colacha area are given.

Sum Insured Determination for Cereal, Citrus and Vineyards in the Spanish Agricultural Insurance System.

In general, insurance is a form of risk management used to hedge against a contingent loss. The conventional definition is the equitable transfer of a risk of loss from one entity to another in exchange for a premium or a guaranteed and quantifiable small loss to prevent a large and possibly devastating loss being agricultural insurance a special line of property insurance. Agriculture insurance, as actually are designed in the Spanish scenario, were established in 1978. At the macroeconomic insurance studies scale, it is necessary to know a basic element for the insurance actuarial components: sum insured. When a new risk assessment has to be evaluated in the insurance framework, it is essential to determinate venture capital in the total Spanish agriculture. In this study, three different crops (cereal, citrus and vineyards) cases are showed to determinate sum insured as they are representative of the cases found in the Spanish agriculture. Crop sum insured is calculated by the product of crop surface, unit surface production and crop price insured. In the cereal case, winter as spring cereal sowing, represents the highest Spanish crop surface, above to 6 millions of hectares (ha). Meanwhile, the four citrus species (oranges, mandarins, lemons and grapefruits) occupied an extension just over 275.000 ha. On the other hand, vineyard target to wine process shows almost one million of ha in Spain.

Automatic detection of crop rows in maize fields with high weeds pressure

This paper proposes a new method, oriented to crop row detection in images from maize fields with high weed pressure. The vision system is designed to be installed onboard a mobile agricultural vehicle, i.e. submitted to gyros, vibrations and undesired movements. The images are captured under image perspective, being affected by the above undesired effects. The image processing consists of three main processes: image segmentation, double thresholding, based on the Otsu’s method, and crop row detection. Image segmentation is based on the application of a vegetation index, the double thresholding achieves the separation between weeds and crops and the crop row detection applies least squares linear regression for line adjustment. Crop and weed separation becomes effective and the crop row detection can be favorably compared against the classical approach based on the Hough transform. Both gain effectiveness and accuracy thanks to the double thresholding that makes the main finding of the paper.

Crop row detection in maize fields inspired on the human visual perception

This paper proposes a new method, oriented to image real-time processing, for identifying crop rows in maize fields in the images. The vision system is designed to be installed onboard a mobile agricultural vehicle, that is, submitted to gyros, vibrations, and undesired movements. The images are captured under image perspective, being affected by the above undesired effects. The image processing consists of two main processes: image segmentation and crop row detection. The first one applies a threshold to separate green plants or pixels (crops and weeds) from the rest (soil, stones, and others). It is based on a fuzzy clustering process, which allows obtaining the threshold to be applied during the normal operation process. The crop row detection applies a method based on image perspective projection that searches for maximum accumulation of segmented green pixels along straight alignments. They determine the expected crop lines in the images. The method is robust enough to work under the above-mentioned undesired effects. It is favorably compared against the well-tested Hough transformation for line detection.

Even-sowing pattern strategies for a low-input agricultural system in forage maize

The objective of this study was to verify the effectiveness of new patterns of sowing and to achieve a low-input organic system in two different environments (northern and southern Europe). The study was motivated by the hypothesis that more even sowing patterns (triangular and square) would significantly enhance the growth and yield of forage maize under widely varying conditions, compared with traditional mechanised rectangular seed patterns. An experiment was conducted in Madrid and duplicated in Copenhagen during 2010. A random block design was used with a 2 × 2 factorial arrangement based on two seed-sowing patterns: traditional (rectangular) and new (even) and two weed-management conditions (herbicide use and a low-input system). In both weed-management conditions and locations, the production of aerial maize biomass was greater for the new square seed patterns. In addition, the new pattern showed a greater effectiveness in the control of weeds, both at the initial crop stages (36 and 33% fewer weeds m-2 at the 4- and 8-leaf stages, respectively, in the Copenhagen field experiment) and at the final stage. The final weed biomass for the new pattern was 568 kg ha-1 lower for the Copenhagen experiment and 277 kg ha-1 lower in Madrid field experiments. In the light of these results, the new pattern could potentially reduce the use of herbicides. The results of the experiments support the hypothesis formulated at the beginning of this study that even-sowing patterns would be relatively favourable for the growth and yield of the maize crop. In the near future, new machinery could be used to achieve new seed patterns for the optimisation of biomass yield under low-input systems. This approach is effective because it promotes natural crop-weed competition.

Indicators of sustainability of agriculture and livestock in Spain - Indicadores de sostenibilidad de la agricultura y ganadería española

Sustainability is an adjective used to characterize agriculture according to the degree of fulfillment of goals. Those goals are related to agro-ecological, environmental and socio-economic dimensions. Sustainability is a dynamic and temporal character. In absolute terms there is not an ending value because it changes as its dimensions make it. Spain is one of the main agricultural countries of the European Union both in terms of crop land and value of productions. The object of this study is to present a methodology of sustainability account to be incorporated into national statistical and to assess their performance in the course of the years. For that reason the data sources used have been the statistics of the Department of Agriculture and from others database. We presented a set of indicators of sustainability and its evaluation in a time series of at least 30 years. The trend analysis offers the evolution of the numerical values of the indicators in terms of efficiency, physical units used for a unit of product or its value in euros. The analyzed crops have been: wheat, barley, maize, sunflower, sugar beet, wine grape, olive oil, citrus, melon and tomato. Physical indicators were: land, water, energy, erosion, soil organic matter, and carbon balance; socio-economic indicators were: agricultural final production, prices, income, employment and use of fertilizers. In general, all crops increased their productive efficiency, higher in irrigated than on dry land. Spanish agricultural carbon sequestration capacity has multiplied by five in the last seventy years, as a result of the increase in the productivity of crops, in terms of total biomass and the modification of the soil management techniques. Livestock sector presents data of pork, broilers and laying hen. Those showed an improvement in efficiency and economic indicators. Overall we can say that Spanish agriculture and livestock subsector have a tendency towards sustainability, being its main threats extreme meteorological factors and the instability of todays markets.

Remote sensing of LAI, chlorophyll and leaf nitrogen pools of crop- and grasslands in five European landscapes.

Leaf nitrogen and leaf surface area influence the exchange of gases between terrestrial ecosystems and the atmosphere, and play a significant role in the global cycles of carbon, nitrogen and water. The purpose of this study is to use field-based and satellite remote-sensing-based methods to assess leaf nitrogen pools in five diverse European agricultural landscapes located in Denmark, Scotland (United Kingdom), Poland, the Netherlands and Italy. REGFLEC (REGularized canopy reFLECtance) is an advanced image-based inverse canopy radiative transfer modelling system which has shown proficiency for regional mapping of leaf area index (LAI) and leaf chlorophyll (CHLl) using remote sensing data. In this study, high spatial resolution (10–20 m) remote sensing images acquired from the multispectral sensors aboard the SPOT (Satellite For Observation of Earth) satellites were used to assess the capability of REGFLEC for mapping spatial variations in LAI, CHLland the relation to leaf nitrogen (Nl) data in five diverse European agricultural landscapes. REGFLEC is based on physical laws and includes an automatic model parameterization scheme which makes the tool independent of field data for model calibration. In this study, REGFLEC performance was evaluated using LAI measurements and non-destructive measurements (using a SPAD meter) of leaf-scale CHLl and Nl concentrations in 93 fields representing crop- and grasslands of the five landscapes. Furthermore, empirical relationships between field measurements (LAI, CHLl and Nl and five spectral vegetation indices (the Normalized Difference Vegetation Index, the Simple Ratio, the Enhanced Vegetation Index-2, the Green Normalized Difference Vegetation Index, and the green chlorophyll index) were used to assess field data coherence and to serve as a comparison basis for assessing REGFLEC model performance. The field measurements showed strong vertical CHLl gradient profiles in 26% of fields which affected REGFLEC performance as well as the relationships between spectral vegetation indices (SVIs) and field measurements. When the range of surface types increased, the REGFLEC results were in better agreement with field data than the empirical SVI regression models. Selecting only homogeneous canopies with uniform CHLl distributions as reference data for evaluation, REGFLEC was able to explain 69% of LAI observations (rmse = 0.76), 46% of measured canopy chlorophyll contents (rmse = 719 mg m−2) and 51% of measured canopy nitrogen contents (rmse = 2.7 g m−2). Better results were obtained for individual landscapes, except for Italy, where REGFLEC performed poorly due to a lack of dense vegetation canopies at the time of satellite recording. Presence of vegetation is needed to parameterize the REGFLEC model. Combining REGFLEC- and SVI-based model results to minimize errors for a "snap-shot" assessment of total leaf nitrogen pools in the five landscapes, results varied from 0.6 to 4.0 t km−2. Differences in leaf nitrogen pools between landscapes are attributed to seasonal variations, extents of agricultural area, species variations, and spatial variations in nutrient availability. In order to facilitate a substantial assessment of variations in Nl pools and their relation to landscape based nitrogen and carbon cycling processes, time series of satellite data are needed. The upcoming Sentinel-2 satellite mission will provide new multiple narrowband data opportunities at high spatio-temporal resolution which are expected to further improve remote sensing capabilities for mapping LAI, CHLl and Nl.