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Home > Information and Communication Technologies for Agriculture—Theme I: Sensors > Trends in Satellite Sensors and Image Time Series Processing Methods for Crop Phenology Monitoring
Information and Communication Technologies for Agriculture—Theme I: Sensors |
Dionysis D. Bochtis; Maria Lampridi; George P. Petropoulos; Yiannis Ampatzidis; Panos Pardalos
Springer International Publishing
Information and Communication Technologies for Agriculture—Theme I: Sensors
Trends in Satellite Sensors and Image Time Series Processing Methods for Crop Phenology Monitoring
Authors

Luca Pipia; Santiago Belda; Belen Franch; Jochem Verrelst

ARI Id

1665376458656_6162366

Access

Not Available Free

Pages

199-231

DOI

10.1007/978-3-030-84144-7_8

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-030-84144-7_8

Table of Contents of Book
Showing 1 to 18 of 18 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
i-xiv
Front Matter
1-1
Emerging Sensing Technologies for Precision Agriculture
Sri Kakarla; Yiannis Ampatzidis; Seonho Park; George Adosoglou; Panos Pardalos
3-16
Soil Reflectance Spectroscopy for Supporting Sustainable Development Goals
Theodora Angelopoulou
17-42
Proximal Sensing Sensors for Monitoring Crop Growth
Lea Hallik; Egidijus Šarauskis; Marius Kazlauskas; Indrė Bručienė; Gintautas Mozgeris; Dainius Steponavičius et al.
43-97
Front Matter
99-99
Experimental Performance Evaluation Techniques of LoRa Radio Modules and Exploitation for Agricultural Use
Dimitrios Loukatos; Athanasios Fragkos; Konstantinos G. Arvanitis
101-120
Evaluating the Performance of a Simulated Softwarized Agricultural Wireless Sensor Network
José Olimpio R. Batista Jr; Gustavo M. Mostaço; Roberto F. Silva; Graça Bressan; Carlos E. Cugnasca; Moacyr Martucci Jr
121-137
Smart Agriculture: A Low-Cost Wireless Sensor Network Approach
Ioannis Angelis; Alexandros Zervopoulos; Aikaterini Georgia Alvanou; Spiridon Vergis; Asterios Papamichail; Konstantinos Bezas et al.
139-172
Front Matter
173-173
Potential of Sentinel-2 Satellite and Novel Proximal Sensor Data Fusion for Agricultural Applications
Miloš Pandžić; Aristotelis C. Tagarakis; Vasa Radonić; Oskar Marko; Goran Kitić; Marko Panić et al.
175-198
Trends in Satellite Sensors and Image Time Series Processing Methods for Crop Phenology Monitoring
Luca Pipia; Santiago Belda; Belen Franch; Jochem Verrelst
199-231
Drone Imagery in Support of Orchards Trees Vegetation Assessment Based on Spectral Indices and Deep Learning
Ionuț Șandric; Radu Irimia; George P. Petropoulos; Dimitrios Stateras; Dionissios Kalivas; Alin Pleșoianu
233-248
Front Matter
249-249
What Does the NDVI Really Tell Us About Crops? Insight from Proximal Spectral Field Sensors
Jon Atherton; Chao Zhang; Jaakko Oivukkamäki; Liisa Kulmala; Shan Xu; Teemu Hakala et al.
251-265
Geophysical Sensors for Mapping Soil Layers – A Comparative Case Study Using Different Electrical and Electromagnetic Sensors
Erika Lück; Julien Guillemoteau; Jens Tronicke; Jana Klose; Benjamin Trost
267-287
Geoinformation Technologies in Pest Management: Mapping Olive Fruit Fly Population in Olive Trees
Androniki Papafilippaki; George Stavroulakis; George P. Petropoulos
289-304
In-field Experiments for Performance Evaluation of a New Low-Cost Active Multispectral Crop Sensor
Aristotelis C. Tagarakis; Marko Kostić; Natasa Ljubičić; Bojana Ivošević; Goran Kitić; Miloš Pandžić
305-325
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 18 of 18 entries
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