Jove
Visualize
お問い合わせ
JoVE
x logofacebook logolinkedin logoyoutube logo
JoVEについて
概要リーダーシップブログJoVEヘルプセンター
著者向け
出版プロセス編集委員会範囲と方針査読よくある質問投稿
図書館員向け
推薦の声購読アクセスリソース図書館諮問委員会よくある質問
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experimentsアーカイブ
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教員リソースセンター教員サイト
利用規約
プライバシーポリシー
ポリシー

関連する概念動画

Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

452
Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
452
Manipulation and Analysis01:21

Manipulation and Analysis

283
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
283
Methods of Obtaining Topography01:25

Methods of Obtaining Topography

278
Topography involves measuring and mapping land elevations, natural features, and artificial structures to create accurate representations of the terrain. Topographic surveying relies on traditional and modern methods, each with distinct advantages and limitations.Traditional Surveying Methods:Transit stadia surveys and plane table surveys were widely used traditional surveying methods. These techniques relied on instruments like theodolites and stadia rods for measuring distances and angles,...
278
Habitat Fragmentation02:31

Habitat Fragmentation

20.9K
Habitat fragmentation describes the division of a more extensive, continuous habitat into smaller, discontinuous areas. Human activities such as land conversion, as well as slower geological processes leading to changes in the physical environment, are the two leading causes of habitat fragmentation. The fragmentation process typically follows the same steps: perforation, dissection, fragmentation, shrinkage, and attrition.
20.9K
Levels of Use of a GIS01:29

Levels of Use of a GIS

346
Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
346
Design Example: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

327
The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
327

こちらも読む

関連記事

共著者、ジャーナル、引用グラフによってこの研究に関連する記事。

並び替え
Same author

Widespread peat carbon losses driven by the 2025 Scottish megafire.

Nature geoscience·2026
Same author

Canadian wildfires are losing their climate-cooling influence from postfire snow albedo.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Climate impacts from North American boreal forest fires.

Nature geoscience·2026
Same author

Peat fires contribute disproportionately to Siberian fire carbon emissions.

Science advances·2026
Same author

Stratospheric biomass burning aerosols compensate record-breaking ozone depletion over the Arctic in spring 2020.

Nature communications·2026
Same author

Multi-ignition fire complexes drive extreme fire years and impacts.

Science advances·2026

関連する実験動画

Updated: Jan 14, 2026

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring
08:16

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring

Published on: October 24, 2025

466

ギリシャにおける森林火災後の復旧優先地域の特定:混合手法空間分析によるアプローチ

Elena Palenova1, Sander Veraverbeke2,3, Igor Drobyshev4

  • 1Department of Natural Sciences, Technology and Environmental Studies, Södertörn University, Stockholm, Sweden.

PloS one
|January 12, 2026
PubMed
まとめ

ギリシャは山火事復旧の優先順位付けのためのより良いシステムを必要としている。この研究は、専門家への聞き取り調査と空間分析を組み合わせて、植生回復のための優先度の高い地域を特定し、将来の計画を支援する。

キーワード:
森林火災後の復旧優先順位付けギリシャ地理空間分析利害関係者の意見植生回復

さらに関連する動画

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
09:44

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Published on: October 16, 2018

10.7K
Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.4K

関連する実験動画

Last Updated: Jan 14, 2026

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring
08:16

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring

Published on: October 24, 2025

466
Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
09:44

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Published on: October 16, 2018

10.7K
Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.4K

科学分野:

  • 生態学的復旧
  • 地理空間分析
  • 気候変動への適応

背景:

  • 地中海地域における山火事は、気候変動により増加しています。
  • ギリシャには、火災後の復旧の優先順位付けに関する標準化されたシステムが欠如しています。
  • 既存の優先順位付けツールは、社会生態学的要因を完全には統合していない可能性があります。

研究 の 目的:

  • ギリシャにおける火災後の植生復旧のための、柔軟でスケーラブルな優先順位付けシステムを開発および提案すること。
  • 復旧計画の強化のために、利害関係者の視点と地理空間データを統合すること。
  • 植生回復のために緊急の注意が必要な優先度の高い地域を特定すること。

主な方法:

  • 主要な復旧基準を特定するために、15人の利害関係者への質的インタビューを実施しました。
  • 地理情報システム(GIS)およびリモートセンシング(RS)を使用した多基準重ね合わせ分析。
  • 利害関係者から得られた基準と、火災履歴、傾斜、保護地域ステータスとの統合。

主要な成果:

  • 統合された基準に基づいて77.25 km²の復旧対象地域を特定しました。
  • 特に注意が必要な3つの特定の地域(合計31 km²)を強調しました。
  • 優先順位付けのための質的データと量的データの組み合わせの有効性を示しました。

結論:

  • 提案されたシステムは、植生復旧のために焼失した地域を効果的に優先順位付けします。
  • 利害関係者のインプットを統合することで、復旧計画の社会生態学的関連性が高まります。
  • 柔軟でスケーラブルなアプローチは、多様な組織が復旧努力を最適化することを支援します。