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Assessing the accuracy of hyperspectral and multispectral satellite imagery for categorical and Quantitative mapping of salinity stress in sugarcane fields

Saeid Hamzeh, Abd Ali Naseri, Seyed Kazem AlaviPanah, Harm Bartholomeus, Martin Herold
2016 International Journal of Applied Earth Observation and Geoinformation  
This study evaluates the feasibility of hyperspectral and multispectral satellite imagery for categorical and quantitative mapping of salinity stress in sugarcane fields located in the southwest of Iran  ...  for quantitative mapping of salinity stress.  ...  Acknowledgements The authors would like to acknowledge the Research centre of sugarcane of Iran and Hakim Farabi Sugarcane Farming and Industrial managerial for their assistance during the field works  ... 
doi:10.1016/j.jag.2016.06.024 fatcat:bqrjmv252zdtxeiyibicpbroqi

Multi-Sensors Remote Sensing Applications for Assessing, Monitoring, and Mapping NPK Content in Soil and Crops in African Agricultural Land

Khalil Misbah, Ahmed Laamrani, Keltoum Khechba, Driss Dhiba, Abdelghani Chehbouni
2021 Remote Sensing  
Here we aimed to identify knowledge gaps in this field and challenges related to the acquisition, processing, and analysis of hyperspectral imagery for soil agriculture investigations.  ...  We believe that this review will contribute promoting the adoption of hyperspectral technology (i.e., imaging and spectroscopy) for the optimization of soil NPK investigation, mapping, and monitoring in  ...  We also thank the academic editor and anonymous reviewers for accepting to review the earlier version of the manuscript.  ... 
doi:10.3390/rs14010081 fatcat:2mflntalujcvzlsw6fcwrauseq

Characterization of soil salinity and its impact on wheat crop using space-borne hyperspectral data

Mirzoolim Avliyakulov, Mamta Kumari, Nurmamat Rajabov, Normat Durdiev
2020 InterCarto. InterGIS  
Facing the risk of soil salinization worldwide, there has been a growing interest in identifying rapid and inexpensive tools for soil salinity assessment.  ...  In present research, Hyperion Hyperspectral remote sensing data (EO-1) was used for characterization and mapping of salt-affected soils, to generate crop inventory map and to evaluate soil salinity impact  ...  ACKNOWLEDGEMENTS This publication is the part of the post graduate thesis. We gratefully acknowledge support under the UN CSSTEAP program conducted in Indian Institute of Remote Sensing (IIRS).  ... 
doi:10.35595/2414-9179-2020-3-26-271-285 fatcat:3xzo5nwfvvemtnsc7rfxvsgv6i

Survey of Hyperspectral Earth Observation Applications from Space in the Sentinel-2 Context

Julie Transon, Raphaël d'Andrimont, Alexandre Maugnard, Pierre Defourny
2018 Remote Sensing  
Two hyperspectral missions for EO started around 2000 and were decisive in the progress of hyperspectral application development and demonstration.  ...  This study, therefore, reviews 20 years of research and applications in satellite hyperspectral remote sensing through the analysis of Earth observation hyperspectral sensors' publications that cover the  ...  Indeed, the Hyperion sensor only outperformed the Landsat quantitative salinity stress estimation in the study of Hamzeh et al.  ... 
doi:10.3390/rs10020157 fatcat:r3pktecntjbahc5htc53d5ende

High-Throughput Plant Phenotyping Platform (HT3P) as a Novel Tool for Estimating Agronomic Traits From the Lab to the Field

Daoliang Li, Chaoqun Quan, Zhaoyang Song, Xiang Li, Guanghui Yu, Cheng Li, Akhter Muhammad
2021 Frontiers in Bioengineering and Biotechnology  
This review aims to provide ideas, thoughts, and insights for the optimal selection, exploitation, and utilization of HT3Ps, and thereby pave the way to break through current phenotyping bottlenecks in  ...  Here, we review these HT3Ps in nearly 7 years from greenhouses and growth chambers to the field, and from ground-based proximal phenotyping to aerial large-scale remote sensing.  ...  ACKNOWLEDGMENTS The authors would like to thank the editors and reviewers for their valuable input, time, and suggestions for improving the overall quality of the manuscript.  ... 
doi:10.3389/fbioe.2020.623705 pmid:33520974 pmcid:PMC7838587 fatcat:5rfrtcrkr5bcphaaemxrvle4ym

Weed Detection in Rice Fields Using Remote Sensing Technique: A Review

Rhushalshafira Rosle, Nik Norasma Che'Ya, Yuhao Ang, Fariq Rahmat, Aimrun Wayayok, Zulkarami Berahim, Wan Fazilah Fazlil Ilahi, Mohd Razi Ismail, Mohamad Husni Omar
2021 Applied Sciences  
The ideal stage for controlling weeds in rice fields was highlighted, and the types of weeds usually found in paddy fields were listed.  ...  Results show that machine learning (ML) and deep learning (DL) remote sensing techniques have successfully produced a high accuracy map for detecting weeds in crops using RS platforms.  ...  Acknowledgments: The authors wish to thank Ibrahim Busu for the knowledge he shared in writing this manuscript. Conflicts of Interest: The authors have no conflict of interest to declare.  ... 
doi:10.3390/app112210701 fatcat:avec4ld3bfetpkjywmpw3dst3y

High-Throughput Phenotyping: A Platform to Accelerate Crop Improvement

Sumit Jangra, Vrantika Chaudhary, Ram C. Yadav, Neelam R. Yadav
2021 Phenomics  
This review focuses on the advancements in technologies involved in high-throughput, field-based, aerial, and unmanned platforms.  ...  Development of high-throughput phenotyping technologies has progressed considerably in the last 10 years.  ...  Gravimetric platform to assess water use efficiency in field MobileDevice Automated assessment of crops in labs and green house PlantEye F500 Multispectral 3D scanner to assess crop in harvest  ... 
doi:10.1007/s43657-020-00007-6 fatcat:kfqiivoas5hsjkjbfcha5546vq

High-Throughput Field-Phenotyping Tools for Plant Breeding and Precision Agriculture

Aakash Chawade, Joost van Ham, Hanna Blomquist, Oscar Bagge, Erik Alexandersson, Rodomiro Ortiz
2019 Agronomy  
Phenotyping of plants for breeding and for precision agriculture have different requirements due to different sizes of the plots and fields, differing purposes and the urgency of the action required after  ...  of plant stresses and weeds at an early stage.  ...  Acknowledgments: We thank Peter Antkowiak, Mats Persson, Erland Liljeroth, Mats Söderström and Kristin Piikki for their valuable suggestions to the EnBlightMe project.  ... 
doi:10.3390/agronomy9050258 fatcat:7y5p7wtvjrgaffn2sbfcnueg3y

Detection of Hydromorphologic Characteristics of Indus River Estuary, Pakistan, Using Satellite and Field Data

Muhammad Wajid Ijaz, Altaf Ali Siyal, Rasool Bux Mahar, Waqas Ahmed, Muhammad Naveed Anjum
2017 Arabian Journal for Science and Engineering  
The present study was designed to detect the hydromorphologic characteristics of Indus River Estuary (IRE) using medium and high spatial resolution multispectral satellite imagery along with field data  ...  Qualitative (visual) and quantitative (analytical) analysis was undertaken, and accuracy of each method as well as remotely sensed data was assessed.  ...  Moreover, the United States Geological Survey (USGS) and Google Earth are also acknowledged who have voluntarily offered satellite data online for research facilitation.  ... 
doi:10.1007/s13369-017-2528-9 fatcat:rl6bpy7vqvdkvjjbvvj67cunhi

Unveiling Spatial Variation in Salt Affected Soil of Gautam Buddha Nagar District Based on Remote Sensing Indicators

Shivangi S. Somvanshi, Phool Kunwar, Walter Timo De Vries, Maya Kumari, Syed Zubair
2020 Journal of Landscape Ecology  
The soil quality parameter maps generated using selected models revealed that most of the part of the agricultural land of the study area lies in the range of moderately saline and moderately sodic soil  ...  To assess spatial variation of the salt-affected soil a simulation model integrating satellite observation data, artificial neural network (ANN) and multiple linear regression (MLR) was used.  ...  the capability of Landsat imagery to spot and map the salts in soil over the area of interest, (iii) to assess interrelationship between on-field measurements and data procured from Landsat imagery, and  ... 
doi:10.2478/jlecol-2020-0005 fatcat:a5tcjwv2vrc7pmz5ojsgrxtnmi

Site-specific Crop Nutrient Management for Precision Agriculture – A Review

Tapan Gorai, Pankaj Kumar Yadav, Gopal Lal Choudhary, Anil Kumar
2021 Current Journal of Applied Science and Technology  
Yield monitoring and mapping tool can generate historical GIS database for spatial variability of crop yield under farmers' crop management practices and assessment of nutrient uptake.  ...  Site-specific nutrient management (SSNM), after considering indigenous nutrient supplying capacity of soil using plant and soil analysis, can feed the crop in synchrony with its nutrient requirement in  ...  Google Earth is a virtual globe, map and GIS software and it uses aerial photography, satellite imagery and GIS 3D globe for mapping the entire Earth.  ... 
doi:10.9734/cjast/2021/v40i1031357 fatcat:qze6i33xojaobmqqexvce6haie

Remote Sensing for Plant Water Content Monitoring: A Review

Carlos Quemada, José M. Pérez-Escudero, Ramón Gonzalo, Iñigo Ederra, Luis G. Santesteban, Nazareth Torres, Juan Carlos Iriarte
2021 Remote Sensing  
This indicates the high degree of correlation between the estimated and measured data for the different technologies and monitoring methods.  ...  In addition to a brief summary of each study, the main monitoring technologies have been analyzed in this review. Concerning the presentation of the data, different results have been obtained.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs13112088 fatcat:qhdnl5zpyvcrbnme2mcrplyzs4

Review of Machine Learning Approaches for Biomass and Soil Moisture Retrievals from Remote Sensing Data

Iftikhar Ali, Felix Greifeneder, Jelena Stamenkovic, Maxim Neumann, Claudia Notarnicola
2015 Remote Sensing  
Moreover, the launch of the Sentinel satellite family will increase the availability of data, especially in the temporal domain, at no cost to the users.  ...  Of particular importance is the consideration of the large extent and the high dimensionality (spectral, temporal and spatial) of remote sensing data.  ...  A literature review suggests that the use of machine learning methods in combination with spaceborne satellite remote sensing data is more frequent for crop classification and mapping, which is a non-quantitative  ... 
doi:10.3390/rs71215841 fatcat:jiktp2klrzfffbzdf2ozbbk2ke

Management approaches for Ceratocystis wilt and canker disease in Acacia plantations

A Nasution
2020
The relative levels of susceptibility in each protocol were compared as a basis to assess the utility of the rapid screening protocols.  ...  Lesion length on stems and necrosis length on phyllodes were assessed and used as a measure of the susceptibility of the tested plant.  ...  , osmotic stress and soil salinity Glick et al. 2007) .  ... 
doi:10.25959/100.00035171 fatcat:bgw7bposszdrxjvuvkfdvcrzfu

Effects of Fuel Oil on the Geotechnical Properties of Clay Soil

Obaid Karkush, Zaineb Abdul, Kareem Student
2017 Number 8 Journal of Engineering   unpublished
The soil samples had mixed with the contaminant (MFO) by the hands and then left for 4 days for homogeneity.  ...  power plant in the campus of the University of Baghdad at Al-Jadriah distract in Baghdad/Iraq.  ...  ACKNOWLEDGEMENTS Our special gratitude and many thanks are forwarded to the " Mayoralty of Baghdad/ Baghdad Sewage and Al-Rustamiya STP, s Office-", without their support and encouragement this work would  ... 
fatcat:36vnmhf3vjewrfqawb62fyl6le