Mirco Boschetti mainly focuses on Remote sensing, Agronomy, Satellite imagery, Vegetation and Biomass. His work deals with themes such as Image resolution, Crop, Cropping, Canopy and Normalized Difference Vegetation Index, which intersect with Remote sensing. In general Agronomy, his work in Leaf area index and Nitrogen fertilizer is often linked to Destructive sampling and Field data linking many areas of study.
In his study, which falls under the umbrella issue of Satellite imagery, Fuzzy set is strongly linked to Synthetic aperture radar. His Vegetation research is multidisciplinary, incorporating perspectives in Multispectral pattern recognition, Sorghum, Coefficient of determination and Chlorophyll fluorescence. His Biomass research is multidisciplinary, relying on both Precision agriculture and Hyperspectral imaging.
The scientist’s investigation covers issues in Remote sensing, Vegetation, Crop, Leaf area index and Remote sensing. His Remote sensing research includes elements of Growing season, Normalized Difference Vegetation Index and Scale. His studies deal with areas such as Biomass, Land cover, Hydrology, Backscatter and Thematic map as well as Vegetation.
His study in Biomass is interdisciplinary in nature, drawing from both Canopy and Rangeland. His Crop study combines topics in areas such as Cropping, Agriculture, Crop yield and Sowing. He combines subjects such as Mean squared error, Nitrogen fertilizer, Field experiment and Paddy field with his study of Leaf area index.
His primary areas of investigation include Remote sensing, Crop, Agricultural engineering, Agriculture and Crop yield. His studies link Scale with Remote sensing. His Crop study combines topics from a wide range of disciplines, such as Growing season, Yield, Seasonality and Stage.
His Agriculture research includes themes of Biomass, Ecosystem services, Bioenergy and Sustainable development. He interconnects Statistics and Grain quality in the investigation of issues within Crop yield. In his research on the topic of Normalized Difference Vegetation Index, Vegetation is strongly related with RGB color model.
Mirco Boschetti focuses on Crop, Remote sensing, Scale, Multispectral image and Leaf area index. His biological study spans a wide range of topics, including Agriculture, Cultivar, Phenology and Wet season. His research in Remote sensing is mostly concerned with Remote sensing.
His Scale study incorporates themes from Normalized Difference Vegetation Index, Drone and Calibration. His work carried out in the field of Multispectral image brings together such families of science as Paddy field, Fuzzy logic and Pattern recognition. His Leaf area index research is multidisciplinary, incorporating elements of Sowing and Yield.
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Advanced methods of plant disease detection. A review
Federico Martinelli;Riccardo Scalenghe;Salvatore Davino;Stefano Panno.
Agronomy for Sustainable Development (2015)
Multi-year monitoring of rice crop phenology through time series analysis of MODIS images
M. Boschetti;D. Stroppiana;P. A. Brivio;S. Bocchi.
International Journal of Remote Sensing (2009)
Plant nitrogen concentration in paddy rice from field canopy hyperspectral radiometry
Daniela Stroppiana;Mirco Boschetti;Pietro Alessandro Brivio;Stefano Bocchi.
Field Crops Research (2009)
Comparative Analysis of Normalised Difference Spectral Indices Derived From MODIS for Detecting Surface Water in Flooded Rice Cropping Systems
Mirco Boschetti;Francesco Nutini;Giacinto Manfron;Pietro Alessandro Brivio.
PLOS ONE (2014)
Nitrogen Status Assessment for Variable Rate Fertilization in Maize through Hyperspectral Imagery
Chiara Cilia;Cinzia Panigada;Micol Rossini;Michele Meroni.
Remote Sensing (2014)
A method for extracting burned areas from Landsat TM/ETM+ images by soft aggregation of multiple Spectral Indices and a region growing algorithm
D. Stroppiana;G. Bordogna;P. Carrara;M. Boschetti.
Isprs Journal of Photogrammetry and Remote Sensing (2012)
Multitemporal and multiresolution leaf area index retrieval for operational local rice crop monitoring
Manuel Campos-Taberner;Francisco Javier García-Haro;Gustau Camps-Valls;Gonçal Grau-Muedra.
Remote Sensing of Environment (2016)
Assessment of pasture production in the Italian Alps using spectrometric and remote sensing information
Mirco Boschetti;Stefano Bocchi;Pietro Alessandro Brivio.
Agriculture, Ecosystems & Environment (2007)
Fluorescence, PRI and canopy temperature for water stress detection in cereal crops
Cinzia Panigada;Micol Rossini;Michele Meroni;Chiara Cilia.
International Journal of Applied Earth Observation and Geoinformation (2014)
RiceAtlas, a spatial database of global rice calendars and production.
Alice G. Laborte;Mary Anne Gutierrez;Jane Girly Balanza;Kazuki Saito.
Scientific Data (2017)
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