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一种新的时间序列为基础的方法来检测森林植被的变化
A Novel Time Series Based Approach to Detect Gradual Vegetation Changes in Forests |
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| 课程网址: |
http://videolectures.net/cidu2011_chamber_vegetation/
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| 主讲教师: |
Yashu Chamber
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| 开课单位: |
明尼苏达大学
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| 开课时间: |
2012-06-27
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| 课程语种: |
英语
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| 中文简介: |
众所周知, 森林在维护整个地球的生物多样性和生态系统健康方面发挥着至关重要的作用。这一重要的生态资源正受到人为和生物压力的威胁, 从虫害到商业伐木。因此, 对森林退化程度的检测、量化和报告对 最大限度地减少地球上最关键资源之一的损失。使用基于图像的比较来检测森林退化的传统方法往往是针对特定领域或区域的, 需要昂贵的培训, 因此不适合在全球范围内应用。近年来, 应用于遥感数据集的基于时间序列的更改检测方法由于其可扩展性、准确性和频繁的定期监测能力而备受关注。在本文中, 我们提出了一种新的方法来确定森林退化逐渐发生的地区。拟议的办法补充了传统的针对具体领域和区域的办法, 提供了关于全球范围内退化发生地点和时间的信息。
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| 课程简介: |
It is well-known that forests play a vital role in maintaining biodiversity and the health of ecosystems across the Earth. This important ecological resource is under threat from both anthropogenic and biogenic pressures, ranging from insect infestations to commercial logging. Detecting, quantifying and reporting the magnitude of forest degradation are therefore critical to e fforts towards minimizing the loss of one of Earth's most crucial resources. Traditional approaches that use image-based comparison for detecting forest degradation are frequently domain- or region-speci fic, which require expensive training, and are thus not suited for application at global scale. More recently, time series based change detection methods applied on remote sensing datasets have gained much attention because of their scalability, accuracy, and monitoring capability at frequent regular intervals. In this paper, we propose a novel approach to identify regions where forest degradation occurs gradually. The proposed approach complements traditional domain- and region-specifi c approaches by providing information on where degradation is occurring, and during what time, at a global scale.
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| 关 键 词: |
计算机科学; 数据挖掘; 时间序列分析
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| 课程来源: |
视频讲座网
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| 最后编审: |
2020-06-03：张荧(课程编辑志愿者)
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| 阅读次数: |
29
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