Big Data Methods for Environmental Data

Subjects: Other Disciplines >> Synthetic discipline submitted time 2023-03-19 Cooperative journals: 《中国科学院院刊》

吴炳方 张鑫 曾红伟 张淼 田富有

Abstract： Resource and environmental monitoring have always been an important part of land sustainable management which ground survey and remote sensing monitoring are two fundamental ways. The crowd sourcing geographic data (CSGD) brought by smart phones provides new opportunity for the ground investigation of resources and environment. Meanwhile, the rapid development of cloud computing makes it possible to allow people to process massive remote sensing data much more efficient and accurate. Compared with traditional data acquisition methods, data in the cloud is easier to acquire and process. Based on this, a big data method for environment monitoring is introduced based on CSGD and cloud-based resource data. The large amount of human resources required for traditional resource environment monitoring are no longer needed as the professional services of cloud computing are proposed. It will gradually replace the traditional governmental business on resource survey. The participation of the public avoids a large amount of investment. This approach ultimately leads to efficient and crowd-sourced resource management.

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