基于数字航拍数据的东北地区森林地上生物量和叶面积指数估算

Forest aboveground biomass (AGB) and leaf area index (LAI) are two important parameters for evaluating forest growth and health. It is of great significance to estimate AGB and LAI accurately using remote sensing technology . Considering the temporal resolution and data acquisition costs, digital aerial photographs (DAPs) from a digital camera mounted on an unmanned aerial vehicle or light, small aircraft have been widely used in forest inventory . In this study , the aerial photograph data was acquired on 5 and 9 June, 2017 by a Hasselblad60 digital camera of the CAF-LiCHy system in a Y-5 aircraft in the Mengjiagang forest farm of Northeast China, and the digital orthophoto mosaic (DOM) and photogrammetric point cloud (PPC) were generated from an aerial overlap photograph. Forest red-green-blue (RGB) vegetation indices and textural factors were extracted from the DOM. Forest vertical structure features and canopy cover were extracted from normalized PPC.

森林地上生物量（Forest aboveground biomass, AGB）与叶面积指数（Leaf Area Index, LAI）是评估森林生长与健康状况的两项关键参数。利用遥感技术精准估算AGB与LAI具有重要意义。考虑到时间分辨率与数据获取成本，搭载于无人机或轻型小型飞机的数码相机所获取的数码航空照片（digital aerial photographs, DAPs）已在森林资源调查中得到广泛应用。本研究于2017年6月5日和9日，在中国东北地区孟家岗林场，通过运五（Y-5）飞机搭载的CAF-LiCHy系统的哈苏60（Hasselblad60）数码相机获取航空影像数据，并由航空重叠影像生成数字正射影像图（digital orthophoto mosaic, DOM）与摄影测量点云（photogrammetric point cloud, PPC）。研究团队从DOM中提取森林红绿蓝（RGB）植被指数与纹理因子，同时从归一化后的PPC中提取森林垂直结构特征与冠层覆盖度。

搜集汇总

背景与挑战

背景概述

该数据集基于2017年6月在中国东北孟家岗林场采集的数字航拍数据，旨在估算森林地上生物量（AGB）和叶面积指数（LAI）两个关键生长健康参数。数据集通过数字正射影像提取RGB植被指数和纹理因子，并通过摄影测量点云提取垂直结构特征和冠层覆盖度，展示了利用遥感技术进行森林资源评估的方法。