Web-GIS platform for forest fire danger prediction in Ukraine: prospects of RS technologies-Reference-Cited by-同舟云学术

Web-GIS platform for forest fire danger prediction in Ukraine: prospects of RS technologies

Published:2016-10-19 Issue: Volume: Page:
ISSN:0277-786X
Container-title:SPIE Proceedings
language:
Short-container-title:

Author:

Baranovskiy N. V.¹,Zharikova M. V.²

Affiliation:

1. Tomsk Polytechnic Univ. (Russian Federation)

2. Kherson National Technical Univ. (Ukraine)

Publisher

SPIE

Reference18 articles.

1. Historical Forest fire Occurrence Analysis in Jambi Province During the Period of 2000 - 2015: Its Distribution & Land Cover Trajectories;Prasetyo,2016

2. Tree mortality and structural change following mixed-severity fire in Pseudotsuga forests of Oregon’s western Cascades, USA

3. Effects of long-range transported air pollution from vegetation fires on daily mortality and hospital admissions in the Helsinki metropolitan area, Finland

4. Production and efficiency of large wildland fire suppression effort: A stochastic frontier analysis;Katuwal,2016

5. Space-time clustering analysis of wildfires: The influence of dataset characteristics, fire prevention policy decisions, weather and climate

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1. Spatial analysis and machine learning prediction of forest fire susceptibility: a comprehensive approach for effective management and mitigation;Science of The Total Environment;2024-05

2. Vegetation transformation territory of the Russian Far East on the basis of long-term satellite fire monitoring;27th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics;2021-12-16

3. Decision Support System Development of Wildland Fire: A Systematic Mapping;Forests;2021-07-17

4. Characteristics of the spatial and temporal distribution of fire regime in ONE OF the most fire prone Region Of The Russian Far East;GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY;2021-07-04