areal data collection system

简明释义

面积数据采集系统;

英英释义

An areal data collection system is a framework or methodology used to gather and analyze spatial data that pertains to specific geographic areas, often employing various technologies and techniques to ensure accurate representation of the area in question.

区域数据收集系统是一种用于收集和分析与特定地理区域相关的空间数据的框架或方法论,通常采用各种技术和方法以确保对所涉及区域的准确表示。

例句

1.The government funded an areal data collection system to improve disaster response strategies.

政府资助了一套区域数据收集系统以改善灾害响应策略。

2.Researchers used an areal data collection system to gather information on land use changes over time.

研究人员使用了一套区域数据收集系统来收集土地利用变化的信息。

3.The city implemented an areal data collection system to monitor urban heat islands.

该市实施了一套区域数据收集系统来监测城市热岛效应。

4.Farmers are using an areal data collection system to optimize their irrigation practices.

农民正在使用一套区域数据收集系统来优化灌溉实践。

5.An areal data collection system can help in assessing the impact of climate change on local ecosystems.

一套区域数据收集系统可以帮助评估气候变化对当地生态系统的影响。

作文

In today's rapidly advancing technological landscape, the importance of data collection cannot be overstated. One of the most significant developments in this field is the emergence of the areal data collection system, which refers to a method of gathering data across specific geographical areas. This system is particularly valuable for researchers, urban planners, and environmental scientists who require accurate and comprehensive data to make informed decisions. The areal data collection system utilizes various tools and technologies, such as satellite imagery, drones, and geographic information systems (GIS), to collect data over large regions. By employing these technologies, researchers can analyze land use patterns, monitor environmental changes, and assess the impact of human activities on natural resources. For instance, urban planners can utilize this system to gather data on population density, infrastructure development, and land utilization, enabling them to create more sustainable and efficient urban environments.Moreover, the areal data collection system plays a crucial role in addressing global challenges such as climate change and biodiversity loss. By collecting data on ecosystems and habitats, scientists can better understand the effects of climate change on various species and develop strategies for conservation. For example, by using remote sensing technology, researchers can monitor deforestation rates in real-time, allowing for quicker responses to environmental threats.In addition to its applications in environmental science and urban planning, the areal data collection system is also instrumental in public health. During the COVID-19 pandemic, for instance, health authorities utilized this system to map infection rates across different regions. By analyzing spatial data, they could identify hotspots and allocate resources effectively, ultimately saving lives.Despite its numerous advantages, the implementation of the areal data collection system is not without challenges. Issues such as data privacy, accuracy, and accessibility must be addressed to ensure that the data collected is reliable and used ethically. Furthermore, there is a need for proper training and education for those involved in data collection and analysis to maximize the benefits of this system.In conclusion, the areal data collection system represents a significant advancement in the way we gather and analyze data across geographical areas. Its applications span various fields, including urban planning, environmental science, and public health, making it an invaluable tool for decision-makers. As we continue to face complex global challenges, the effective use of this system will be essential in guiding our efforts towards a more sustainable and equitable future.

在当今快速发展的技术环境中,数据收集的重要性不容低估。在这个领域中,最重要的发展之一是出现了区域数据收集系统,这是一种在特定地理区域内收集数据的方法。该系统对于研究人员、城市规划者和环境科学家来说尤为重要,因为他们需要准确和全面的数据来做出明智的决策。区域数据收集系统利用各种工具和技术,如卫星图像、无人机和地理信息系统(GIS),在大范围内收集数据。通过使用这些技术,研究人员可以分析土地利用模式、监测环境变化以及评估人类活动对自然资源的影响。例如,城市规划者可以利用该系统收集人口密度、基础设施发展和土地利用的数据,从而使他们能够创建更可持续和高效的城市环境。此外,区域数据收集系统在应对全球挑战如气候变化和生物多样性丧失方面发挥着至关重要的作用。通过收集生态系统和栖息地的数据,科学家们可以更好地理解气候变化对各种物种的影响,并制定保护策略。例如,通过使用遥感技术,研究人员可以实时监测森林砍伐率,从而允许更快地应对环境威胁。除了在环境科学和城市规划中的应用外,区域数据收集系统在公共卫生领域也具有重要作用。例如,在COVID-19大流行期间,卫生当局利用该系统绘制不同地区的感染率地图。通过分析空间数据,他们能够识别热点并有效分配资源,最终拯救生命。尽管有许多优势,但实施区域数据收集系统并非没有挑战。数据隐私、准确性和可及性等问题必须得到解决,以确保收集的数据可靠且以道德方式使用。此外,需要对参与数据收集和分析的人进行适当的培训和教育,以最大限度地发挥该系统的优势。总之,区域数据收集系统代表了我们在地理区域内收集和分析数据方式的重大进步。它的应用跨越多个领域,包括城市规划、环境科学和公共卫生,使其成为决策者不可或缺的工具。随着我们继续面临复杂的全球挑战,有效利用该系统将对指导我们努力实现更可持续和公平的未来至关重要。

相关单词

areal

areal详解:怎么读、什么意思、用法

data

data详解:怎么读、什么意思、用法

collection

collection详解:怎么读、什么意思、用法