C1014042322

IJIPR Journal — Fri, 25 Feb 2022 09:37:19 +0000

The Indian Journal of Image Processing and Recognition (IJIPR) has ISSN 2582-8037 (online), open-access, peer-reviewed, periodical, bi-monthly international journal. This journal is published by Lattice Science Publication (LSP) in February, April, June, August, October and December. The aim of the journal is to publish high quality peer–reviewed original articles in the area of Image Processing and Recognition that covers Active Vision and Robotic Systems, Architecture of Imaging and Vision Systems, Autonomous Vehicles, Character and Handwritten Text Recognition, Chemical and Spectral Sensitization, Chemistry of Photosensitive Materials, Coating Technologies, Coding and Transmission, Cognitive Aspects of Image Understanding, Color Imaging, Communication of Visual Data, Data Fusion from Multiple Sensor Inputs, Display and Printing, Document Image Understanding, Generation and Display, Holography, Image Analysis and Interpretation, Image Capturing, Image Databases, Image Generation, Image Manipulation, Image Permanence, Image Processing, Image Processing Applications, Image Processing: Coding Analysis and Recognition, Image Representation, Image Sensing, Imaging Systems and Image Scanning, Implementation and Architectures, Latent Image, Materials for Electro-Photography, Monitoring and Surveillance, Network Architecture for Real-Time Video Transport, New Visual Services Over ATM/Packet Network, Non-Impact Printing Technologies, Object Modeling and Knowledge Acquisition, Photoconductors, Photographic Emulsions, Photopolymers, Prepress and Printing Technologies, Processing and Analysis, Protocols for Packet Video, Remote Image Sensing, Retrieval and Multimedia, Scene Modeling, Signal-Processing Aspects of Image Processing, Storage and Transmission, Video Coding Algorithms and Technologies for ATM/P. #Active Vision and Robotic Systems #Architecture of Imaging and Vision Systems #Autonomous Vehicles #Character and Handwritten Text Recognition #Chemical and Spectral Sensitization #Chemistry of Photosensitive Materials #Coating Technologies #Coding and Transmission #Cognitive Aspects of Image Understanding #Color Imaging #Communication of Visual Data #Data Fusion from Multiple Sensor Inputs #Display and Printing #Document Image Understanding #Generation and Display #Holography #Image Analysis and Interpretation #Image Capturing #Image Databases #Image Generation #Image Manipulation #Image Permanence #Image Processing #Image Processing Applications #Image Processing: Coding Analysis and Recognition #Image Representation #Image Sensing #Imaging Systems and Image Scanning #Implementation and Architectures #Latent Image #Materials for Electro-Photography #Monitoring and Surveillance #Network Architecture for Real-Time Video Transport #New Visual Services Over ATM/Packet Network #Non-Impact Printing Technologies #Object Modeling and Knowledge Acquisition #Photoconductors #Photographic Emulsions #Photopolymers #Prepress and Printing Technologies #Processing and Analysis #Protocols for Packet Video #Remote Image Sensing #Retrieval and Multimedia #Scene Modeling #Signal-Processing Aspects of Image Processing #Storage and Transmission #Video Coding Algorithms and Technologies for ATM/P #PhD #Academic #Scopus #SCI #LatticeScience #Springer, #ScienceDirect #IEEE #Mendeley #Research #Scholarship #UGC #SSRN #LatticeScience #ESCI #Science #Journal #Conference #SSRN #PubLons

On the Need of Quick Monitoring for Wildfire Response from City Halls
M. C. Proença
Maria da Conceição Proença, Department of Physics, Faculty of Sciences, Marine and Environmental Sciences Centre (MARE-ULisboa), University of Lisbon, 1749-016 Lisboa, Portugal.

Manuscript received on 16 February 2022 | Revised Manuscript received on 24 March 2022 | Manuscript Accepted on 15 April 2022 | Manuscript published on 30 April 2022 | PP: 1-4 | Volume-2 Issue-3, April 2022 | Retrieval Number: 100.1/ijipr.C1014042322 | DOI: 10.54105/ijipr.C1014.042322

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© The Authors. Published by Lattice Science Publication (LSP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: This case study shows that the assessment of burned areas can be done with remote sensing data free of charges in a simple laptop. Describing the open-source software and the methodology step by step, we expect to make it available for county workers in areas attained by wildfires, where a quick response is much needed, as the availability of information is essential for the immediate planning of mitigation measures, such as restoring road access, allocate funds for the recovery of human dwellings and assess further restoration of the ecological system. The example used is a succession of wildfires in Portugal mainland during the summer of 2017, that kills more than 60 people and seriously damaged local resources. Wildfires devastate forest ecosystems, having direct impact on vegetation cover and animal population. The economic interest is also attained, as resin extraction ends and the pine wood burned become useless for the most noble applications, so its value decreased. The tools described in this paper establish a baseline for major changes in forest ecosystems recover and allows to target priorities. Moreover, the result allows the follow up of the surface fuel loading, enabling the targeting of restoration measures in a time basis planning.

Keywords: Burned Areas Assessment, Image Processing, Mitigation Planning, Remote Sensing.
Scope of the Article: Image Processing Applications

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Volume-2 Issue-3, April 2022 – Indian Journal of Image Processing and Recognition (IJIPR)

C1014042322