A5033138073- Remote Sensing in Agriculture
- Land Use and Ecosystem Services
- Atmospheric and Environmental Gas Dynamics
- Remote Sensing and LiDAR Applications
- Plant Water Relations and Carbon Dynamics
- Horticultural and Viticultural Research
- Spectroscopy and Chemometric Analyses
- Remote-Sensing Image Classification
- Atmospheric chemistry and aerosols
- Plant responses to elevated CO2
- Smart Agriculture and AI
- Marine and coastal ecosystems
- Climate variability and models
- Remote Sensing and Land Use
- Urban Heat Island Mitigation
- Water Quality Monitoring and Analysis
- Plant Parasitism and Resistance
- Leaf Properties and Growth Measurement
- Tree Root and Stability Studies
- Meteorological Phenomena and Simulations
- Irrigation Practices and Water Management
- Species Distribution and Climate Change
- Geothermal Energy Systems and Applications
- 3D Surveying and Cultural Heritage
- Water-Energy-Food Nexus Studies
Forschungszentrum Jülich
2019-2024
Washington State University
2019-2021
Planta
2020
Stadtwerke Jülich (Germany)
2020
Biogéosciences
2020
Universidade de São Paulo
2020
The HyPlant imaging spectrometer is a high-performance airborne instrument consisting of two sensor modules. DUAL module records hyperspectral data in the spectral range from 400–2500 nm, which useful to derive biochemical and structural plant properties. In parallel, FLUO acquires red near infrared (670–780 nm), with distinctly higher sampling interval finer resolution. technical specifications allow for retrieval sun-induced chlorophyll fluorescence (SIF), small signal emitted by plants,...
Remote sensing-based measurements of solar-induced chlorophyll fluorescence (SIF) are useful for assessing plant functioning at different spatial and temporal scales. SIF is the most direct measure photosynthesis therefore considered important to advance capacity monitoring gross primary production (GPP) while it has also been suggested that its yield facilitates early detection vegetation stress. However, due influence confounding effects, apparent signal measured canopy level differs from...
Chlorophyll fluorescence (ChlF) information offers a deep insight into the plant physiological status by reason of close relationship it has with photosynthetic activity. The unmanned aerial systems (UAS)-based assessment solar induced ChlF (SIF) using non-imaging spectrometers and radiance-based retrieval methods, potential to provide spatio-temporal performance at field scale. objective this manuscript is report main advances in development UAS-based methods for SIF through latest...
Conventional methods for crop lodging assessments need accurate ground observations and tend to be laborious. Lodging assessment accuracy can thus improved using remote sensing data from small unmanned aerial systems (UASs) low orbiting satellites (LOSs). With such aim, imagery assess spearmint was acquired a UAS at two sample distances (GSDs) of 0.01 0.03 m. Crop surface model (CSM) six image color features were extracted UAS-based data. These then classified into not lodged (NL), partially...
Tree fruit architecture results from combination of the training system and pruning thinning processes across multiple growth development years. Further, tree contributes to light interception improves growth, quality, yield, in addition easing process orchard management harvest. Currently architectural traits are measured manually by researchers or growers, which is labor-intensive time-consuming. In this study, remote sensing techniques were evaluated phenotype critical with final goal...
Energy is required in all agricultural activities. Diagramming material flows needed by crop production systems supports the proper analysis of energy interactions within a system’s boundaries. The latter complemented with an economic gives clear view how beneficial new practice cycle is—in this case, variable slope (VS) land leveling (LL) operation. VS global navigation satellite system (GNSS, real time kinematics—RTK—accuracy) LL technique used to create smooth continuous surface constant...
Abstract Aim Legumes are vital to agroecosystems and human nutrition, yet climate change is compromising their nutritional value. This study aims assess how a one-month exposure elevated CO 2 (eCO ) impacts biomass yield, mineral profile, gene expression, the soil microbiome of common bean plants ( Phaseolus vulgaris L.). Methods L. was grown in field conditions under ambient (control, aCO , 400 ppm) or eCO (600 pm) from start pod filling until plant maturity analyzed for several...
Lodging occurs when the crop canopy is too heavy for strength of stem and it falls over onto ground. This decreases yield quality, makes harvest difficult. A research experiment was set up in a spearmint field on center pivot with mid elevation spray application (MESA) overhead sprinklers, where water applied from "mid elevation" 2 m above ground level (AGL), low precision (LEPA) emitted directly soil surface through drag hoses without wetting canopy. Every-other span this full-size...
Solar-induced fluorescence (SIF) has become a promising remote sensing parameter to quantify actual photosynthesis beyond the 'greenness' measurements. Despite great advances in instrumentation measure canopy SIF, we are still at beginning of having concepts quantitatively relate SIF rates photosynthesis. In this article, discuss three elements that crucial scale measurements leaf function, namely (i) structure and its bio-chemical composition determining light absorption, (ii) functional...
The impact of elevated <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$[\text{CO}_{2}](\mathrm{e}[\text{CO}_{2}])$</tex> in on yield, biomass (BM) and chlorophyll fluorescence (ChlF) was analyzed three genotypes common beans (Phaseolus vulgaris L.), a key food-security crop. Active- passive-sensed ChlF traits acquired by the Light-Induced-Fluorescence-Transient (LIFT), Moni-Pulse-Amplitude-Modulation (MoniPAM), Fluorescence Box...
Plant physiological processes like photosynthesis play a key role in the global carbon cycle, thus, having significant impact on energy exchanges between vegetation and atmosphere. Nevertheless, current approaches to introduce Land Surface Models (LSMs) are generally based extrapolation of locally measured photosynthetic rates entire biomes. Therefore, plant information at higher spatiotemporal resolution covering large areas (regional global) is necessary improve estimates seasonal dynamics...
Earth and Space Science Open Archive posterOpen AccessYou are viewing the latest version by default [v1]Solar Induced Chlorophyll Fluorescence Vegetation Indices for Heat Stress Assessment in Three Crops at Different Geophysics-Derived Soil UnitsAuthorsJuanQuirósiDCosimoBrogiVeraKriegeriDBastianSiegmannMarcoCelestiiDMicolRossiniiDSergioCogliatiLutzWeihermülleriDUweRascherSee all authors Juan QuirósiDCorresponding Author• Submitting AuthorInstitute of BiogeosciencesIBG2Plant...
&lt;p&gt;The assessment of large-scale vegetation functioning is essential to improve cropland productivity and monitor natural ecosystem health. The development remote sensing (RS) technologies over decades made such assessments possible from field- global-scale. Nevertheless, commonly used reflectance-based RS methods are often not sensitive enough timely inform preventive or corrective actions. Recent advances on the solar-induced chlorophyll fluorescence (SIF) have opened...
&lt;p&gt;Climate conditions directly impact on vegetation growth, this is quite clear; yet, &amp;#8220;how functioning alters climate?&amp;#8221; an open query rising many questions. Understanding the of climate important to better comprehend climatological processes and thus improve models, due influence plants carbon water cycles. For decades it was impossible have information about plant in (regional global) scale nevertheless, advent satellite-based remote sensing (RS)...