Remote sensing for cost-effective blue carbon accounting

نویسندگان

چکیده

Blue carbon ecosystems (BCE) include mangrove forests, tidal marshes, and seagrass meadows, all of which are currently under threat, putting their contribution to mitigating climate change at risk. Although certain challenges trade-offs exist, remote sensing offers a promising avenue for transparent, replicable, cost-effective accounting many BCE unprecedented temporal spatial scales. The United Nations Framework Convention on Climate Change (UNFCCC) has issued guidelines developing blue inventories incorporate into Nationally Determined Contributions (NDCs). Yet, there is little guidance techniques monitoring, reporting, verifying assets. This review constructs unified roadmap applying technologies develop – from local global We summarise discuss (1) current standard inventories; (2) traditional cutting-edge mapping habitats; (3) methods translating habitat maps estimates; (4) decision tree assist users in determining the most suitable approach depending areas interest, budget, required accuracy assessment. designed this work support UNFCCC-approved IPCC with specific recommendations GHG inventories. Overall, robust tools assets projects. Increased appreciation these can promote technological shift towards greater policy industry uptake, enhancing scalability as Natural Solution worldwide.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Low Cost UAV-based Remote Sensing for Autonomous Wildlife Monitoring

In recent years, developments in unmanned aerial vehicles, lightweight on-board computers, and low-cost thermal imaging sensors offer a new opportunity for wildlife monitoring. In contrast with traditional methods now surveying endangered species to obtain population and location has become more cost-effective and least time-consuming. In this paper, a low-cost UAV-based remote sensing platform...

متن کامل

Development of a Cost-Effective Airborne Remote Sensing System for Coastal Monitoring

Coastal lands and nearshore marine areas are productive and rapidly changing places. However, these areas face many environmental challenges related to climate change and human-induced impacts. Space-borne remote sensing systems may be restricted in monitoring these areas because of their spatial and temporal resolutions. In situ measurements are also constrained from accessing the area and obt...

متن کامل

Two Effective Feature Selection Criteria for Multispectral Remote Sensing

In an earlier study, Swain et al. reported on two statistical separability measures which for multiclass feature selection were shown experimentally to be more reliable than divergence. However, the empirical results of that study together with the best theoretical results in the literature left open some practical questions regarding the quantitative characterization of these separability meas...

متن کامل

Effective Sequential Classifier Training for Multitemporal Remote Sensing Image Classification

The explosive availability of remote sensing images has challenged supervised classification algorithms such as Support Vector Machines (SVM), as training samples tend to be highly limited due to the expensive and laborious task of ground truthing. The temporal correlation and spectral similarity between multitemporal images have opened up an opportunity to alleviate this problem. In this study...

متن کامل

Satellite Remote Sensing for Geologic Carbon Sequestration Field Monitoring

Carbon dioxide is one of the major greenhouse gases generated by human activities which, by virtue of its impact on global climate through “Greenhouse Warming”, are implicated in extreme environmental impacts such as more prevalent and more intense storms, bushfires, floods, droughts and heat waves. In order to constrain the growth of atmospheric CO2, Geologic Carbon Sequestration (GCS) has bee...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Earth-Science Reviews

سال: 2023

ISSN: ['0012-8252', '1872-6828']

DOI: https://doi.org/10.1016/j.earscirev.2023.104337