scholarly journals HYPER SPECTRAL REMOTE SENSING FOR DAMAGE DETECTION AND CLASSIFICATION MODELS IN AGRICULTURE - A REVIEW

2021 ◽  
Vol 9 (1) ◽  
pp. 380-386
Author(s):  
Akshay Dhande, Rahul Malik
Keyword(s):  
Remote Sensing ◽  
Precision Agriculture ◽  
Geographical Information Systems ◽  
Agricultural Sector ◽  
Multiple Scales ◽  
Agricultural Practices ◽  
Geographical Information ◽  
Positioning Systems ◽  
Remote Sensing Techniques ◽  
Remote Sensing Methods

Agriculture is the pillar of the financial system of any country and it's far enormously crucial for financial improvement and social stability. Remote sensing has numerous benefits within the discipline of agronomical studies purpose.  Remote sensing has the capacity to face this big obstacle in the evolutionary changes in agricultural practices, by delivering recurrent information on crop condition at multiple scales and for different actors during the season. Because of the rapid changes in farming started from mid to past 1980, remote sensing has become an indispensable a part of precision agriculture. Agricultural systems need to be monitored in regular interval. Remote sensing act as vital method in well timed tracking and provides a correct snapshot of the agricultural with good accuracy. The tracking of agricultural strongly follows seasonal patterns on the subject of the organic life of crops. Because of this background we studied various remote sensing methods like crop classification, crop tracking and yield assessment. We discovered that almost all of the remote sensing methods have been exploratory investigations, examined on a nearby scale with direct dependence on ground data. In tandem with other specialized methods such as geographical information systems and global positioning systems, remote sensing plays an important role in the measurement and monitoring of agricultural activities. We begin this review by presenting an outline of the existing methods of remote sensing relevant to the agricultural sector. This paper analyses remote sensing methods progress, problems and future in agricultural context. This article will offer an outline of commercially remote sensors having high resolution which have been used or have ability for accuracy in collecting agriculture information. Further, overview illustrates current research trends in remote sensing methods that allow reinforcing applicative skills with precise necessities for specific forms of stakeholders. We offer a synthesis of the rising possibilities in remote sensing techniques that have to reinforce the role in imparting long time and efficient services for agricultural purpose. SAR remote sensing techniques have extremely good capability and could play an important role in diverse fields of agricultural remote sensing. Finally, the paper outlines challenges, limitation and future trends of remote sensing methods in crop evaluation. This paper concludes that current utilization of remote sensing methods in crop evaluation still remains in an experimental stage.

scholarly journals Using Remote Sensing Techniques in Environmental Management

2016 ◽  
Vol 73 (2) ◽  
pp. 230
Author(s):  
Mihai Valentin Herbei ◽  
Roxana Herbei ◽  
Laura Smuleac ◽  
Tudor Salagean
Keyword(s):  
Remote Sensing ◽  
Environmental Management ◽  
Information System ◽  
Geographical Information System ◽  
Geographical Information Systems ◽  
Spatial Information ◽  
Modern Technology ◽  
Geographical Information ◽  
Remote Sensing Techniques ◽  
Modern Solution

The Geographical Information Systems technology is used in many fields where the spatial information is very important and relevant, that means in all fields that use a system for saving, analyzing and representing the data which are processed. The aim of this paper is using modern technology for monitoring the environment. Geographical Information System together with remote sensing have a very important role in decision process regarding the environment. Integration of remote sensing images in a Geographical Information System which enables complex spatial analysis is a useful and modern solution for environmental management and decision-making process. Satellite images contain various information that can support environmental monitoring, images that can be analyzed and interpreted in various ways by using the Geographical Information System tools.

Precision Agriculture

2021 ◽  
pp. 23-45 ◽  
Author(s):  
Waleed Fouad Abobatta
Keyword(s):  
Climate Change ◽  
Remote Sensing ◽  
Information Technology ◽  
Social Interaction ◽  
Precision Agriculture ◽  
Geographical Information Systems ◽  
Advanced Technology ◽  
Geographical Information ◽  
Farm Size ◽  
World Population

Precision agriculture is a management system that aims to reduce inputs like seeds, water, and energy; protect the environment; and maximize profitability. Precision agriculture uses advanced technology like positioning technology, geographical information systems, satellite navigation, and remote sensing. There are different factors affect the adoption of precision agriculture like farm size, legal affairs, and social interaction. Under climate change and increases in world population, adoption of precision agriculture could assist farmers to face various challenges to achieve ideal production and maximizing profitability. Information, technology, and management are considered the backbone of the precision agriculture system, and combining these elements reduces inputs and maximizes productivity. Different threats attacked precision agriculture including threats to confidentiality, threats to integrity, threats to availability, and crowding of the spectrum signal. This chapter explains the different roles of precision agriculture in developing agricultural production.

scholarly journals Modelling approach for Data Analysis

2020 ◽  
pp. 29
Author(s):  
Stefanos Nastis
Keyword(s):  
Precision Agriculture ◽  
Geographical Information Systems ◽  
Information Access ◽  
Data Retrieval ◽  
Production Costs ◽  
Geographical Information ◽  
Positioning Systems ◽  
Variable Rate Technology ◽  
Information And Communication ◽  
Computer Based

A Decision Support System (DSS) is an interactive, computer-based system that helps users in making decisions. Besides the provision of storing and data retrieval, DSS enhances information access and retrieval functions. Designing a DSS for agriculture enables farmers to make effective decisions for higher yield and lower production costs. Precision agriculture, through the use of remote sensing, geographical information systems, global positioning systems, soil testing, yield monitors and variable rate technology, provide a number of inputs into the DSS. Case studies are presented where the DSS is designed to optimize specific inputs, such as water consumption or pesticide applications by employing precision agriculture through information and communication technology.

scholarly journals UAS-Remote Sensing Methods for Mapping, Monitoring and Modeling Crops

2020 ◽  
Vol 12 (23) ◽  
pp. 3873
Author(s):  
Francisco Javier Mesas-Carrascosa
Keyword(s):  
Remote Sensing ◽  
Precision Agriculture ◽  
Crop Management ◽  
Small Sample ◽  
Special Issue ◽  
Sensor Applications ◽  
Aerial Vehicle ◽  
Continue Research ◽  
Remote Sensing Techniques ◽  
Remote Sensing Methods

The advances in Unmanned Aerial Vehicle (UAV) platforms and on-board sensors in the past few years have greatly increased our ability to monitor and map crops. The ability to register images at ultra-high spatial resolution at any moment has made remote sensing techniques increasingly useful in crop management. These technologies have revolutionized the way in which remote sensing is applied in precision agriculture, allowing for decision-making in a matter of days instead of weeks. However, it is still necessary to continue research to improve and maximize the potential of UAV remote sensing in agriculture. This Special Issue of Remote Sensing includes different applications of UAV remote sensing for crop management, covering RGB, multispectral, hyperspectral and LIght Detection and Ranging (LiDAR) sensor applications on-board (UAVs). The papers reveal innovative techniques involving image analysis and cloud points. It should, however, be emphasized that this Special Issue is a small sample of UAV applications in agriculture and that there is much more to investigate.

Mapping wildland fuels for fire management across multiple scales: Integrating remote sensing, GIS, and biophysical modeling

2001 ◽  
Vol 10 (4) ◽  
pp. 301 ◽  
Author(s):  
Robert E. Keane ◽  
Robert Burgan ◽  
Jan van Wagtendonk
Keyword(s):  
Remote Sensing ◽  
Geographical Information Systems ◽  
Fire Management ◽  
Multiple Scales ◽  
Fire Hazard ◽  
Fire Behavior ◽  
Mapping Method ◽  
Geographical Information ◽  
Biophysical Modeling ◽  
Fuel Mapping

This paper was presented at the conference ‘Integrating spatial technologies and ecological principles for a new age in fire management’, Boise, Idaho, USA, June 1999 Fuel maps are essential for computing spatial fire hazard and risk and simulating fire growth and intensity across a landscape. However, fuel mapping is an extremely difficult and complex process requiring expertise in remotely sensed image classification, fire behavior, fuels modeling, ecology, and geographical information systems (GIS). This paper first presents the challenges of mapping fuels: canopy concealment, fuelbed complexity, fuel type diversity, fuel variability, and fuel model generalization. Then, four approaches to mapping fuels are discussed with examples provided from the literature: (1) field reconnaissance; (2) direct mapping methods; (3) indirect mapping methods; and (4) gradient modeling. A fuel mapping method is proposed that uses current remote sensing and image processing technology. Future fuel mapping needs are also discussed which include better field data and fuel models, accurate GIS reference layers, improved satellite imagery, and comprehensive ecosystem models.

scholarly journals Remote sensing and geographical information analytical techniques for modelling Ommatissus lybicus (Hemiptera: Tropiduchidae) habitat and population densities

2017 ◽  
Author(s):  
Khalifa M Al-Kindi ◽  
Paul Kwan ◽  
Nigel Andrew ◽  
Mitchell Welch
Keyword(s):  
Remote Sensing ◽  
Geographical Information Systems ◽  
Agricultural Practices ◽  
Analytical Techniques ◽  
Regional Level ◽  
Geographical Information ◽  
Palm Tree ◽  
Population Densities ◽  
Future Studies ◽  
Monitoring And Surveillance

In order to understand the distribution and prevalence of Ommatissus lybicus (Homoptera: Tropiduchidae) as well as analyse their current biographical patterns and predict their future spread, comprehensive and highly sophisticated information on the environmental, climatic, and agricultural practices are essential. The analytical techniques available in modern spatial analysis packages, such as Remote Sensing and Geographical Information Systems, can help detect and model spatial links and correlations between the presence, absence and density of O. lybicus in response to climatic, environmental and human factors. The main objective of this paper is to review remote sensing and geographical information analytical techniques that can be applied in mapping and modelling the habitat and population density of O. lybicus in Oman. An exhaustive search of related literature revealed that there are few studies linking location-based infestation levels of pests like the O. lybicus with climatic, environmental and human practice related variables in the Middle East. Our review also highlights the accumulated knowledge and addresses the gaps in this area of research. Furthermore, it makes recommendations for future studies, and gives suggestions on monitoring and surveillance sites that are necessary in designing both local and regional level integrated pest management (IPM) policing of palm tree and other affected cultivated crops.

scholarly journals Remote sensing and geographical information analytical techniques for modelling Ommatissus lybicus (Hemiptera: Tropiduchidae) habitat and population densities

2017 ◽  
Author(s):  
Khalifa M Al-Kindi ◽  
Paul Kwan ◽  
Nigel Andrew ◽  
Mitchell Welch
Keyword(s):  
Remote Sensing ◽  
Geographical Information Systems ◽  
Agricultural Practices ◽  
Analytical Techniques ◽  
Regional Level ◽  
Geographical Information ◽  
Palm Tree ◽  
Population Densities ◽  
Future Studies ◽  
Monitoring And Surveillance

In order to understand the distribution and prevalence of Ommatissus lybicus (Homoptera: Tropiduchidae) as well as analyse their current biographical patterns and predict their future spread, comprehensive and highly sophisticated information on the environmental, climatic, and agricultural practices are essential. The analytical techniques available in modern spatial analysis packages, such as Remote Sensing and Geographical Information Systems, can help detect and model spatial links and correlations between the presence, absence and density of O. lybicus in response to climatic, environmental and human factors. The main objective of this paper is to review remote sensing and geographical information analytical techniques that can be applied in mapping and modelling the habitat and population density of O. lybicus in Oman. An exhaustive search of related literature revealed that there are few studies linking location-based infestation levels of pests like the O. lybicus with climatic, environmental and human practice related variables in the Middle East. Our review also highlights the accumulated knowledge and addresses the gaps in this area of research. Furthermore, it makes recommendations for future studies, and gives suggestions on monitoring and surveillance sites that are necessary in designing both local and regional level integrated pest management (IPM) policing of palm tree and other affected cultivated crops.

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