Allometric equations for integrating remote sensing imagery into forest monitoring programmes.
نویسندگان
چکیده
Remote sensing is revolutionizing the way we study forests, and recent technological advances mean we are now able - for the first time - to identify and measure the crown dimensions of individual trees from airborne imagery. Yet to make full use of these data for quantifying forest carbon stocks and dynamics, a new generation of allometric tools which have tree height and crown size at their centre are needed. Here, we compile a global database of 108753 trees for which stem diameter, height and crown diameter have all been measured, including 2395 trees harvested to measure aboveground biomass. Using this database, we develop general allometric models for estimating both the diameter and aboveground biomass of trees from attributes which can be remotely sensed - specifically height and crown diameter. We show that tree height and crown diameter jointly quantify the aboveground biomass of individual trees and find that a single equation predicts stem diameter from these two variables across the world's forests. These new allometric models provide an intuitive way of integrating remote sensing imagery into large-scale forest monitoring programmes and will be of key importance for parameterizing the next generation of dynamic vegetation models.
منابع مشابه
Above Ground Biomass estimation from SAR vertical reflectivity profiles
First attempts for the estimation of above ground forest biomass (AGB) by means of SAR, have used allometric equations to calculate biomass from the estimated PolInSAR forest height. However, changes in forest density or structure bias the known allometric relations. Today, remote sensing systems like SAR are able to measure additional parameters like vertical forest structure [1] [2]. In this ...
متن کاملEvaluation of remote sensing indicators in drought monitoring using machine learning algorithms (Case study: Marivan city)
Remote sensing indices are used to analyze the Spatio-temporal distribution of drought conditions and to identify the severity of drought. This study, using various drought indices generated from Madis and TRMM satellite data extracted from Google Earth Engine (GEE) platform. Drought conditions in Marivan city from February to November for the years 2001 to 2017 were analyzed based on spatial a...
متن کاملIntroducing Satellite Remote Sensing Systems and its Application in Archaeology Case Study: Behshahr Plain- Mazandaran
Human groups have considered the Behshahr plain of Mazandaran in the past Due to its particular geographical shape, location between the Caspian Sea and mountains, and the existence of some rivers in the region. However, our knowledge of this area is limited to several published surveys and archaeological investigation of its ancient sites. No detailed research has conducted on the formation of...
متن کاملA Simple Approach for Guiding Classification of Forest and Crop from Remote Sensing Imagery: A Case Study of Suqian, China
Basic scientific research of land cover in Suqian is fundamental to ensure the sustainability of land resource management. The major study is to monitor the confusable land cover types according to the remote sensing, and the integrated information. It supplies a new direction for integrating date sets and improves the monitor on land cover. It presents a simple fusion approach for integrating ...
متن کاملSmall Sample Sizes Yield Biased Allometric Equations in Temperate Forests
Accurate quantification of forest carbon stocks is required for constraining the global carbon cycle and its impacts on climate. The accuracies of forest biomass maps are inherently dependent on the accuracy of the field biomass estimates used to calibrate models, which are generated with allometric equations. Here, we provide a quantitative assessment of the sensitivity of allometric parameter...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Global change biology
دوره 23 1 شماره
صفحات -
تاریخ انتشار 2017