2016年-2018年东北及华北植被全波段波谱数据集

2016年-2018年东北及华北植被全波段波谱数据集是覆盖可见光－红外－微波全波段的典型地物波谱数据集，用于支持多源跨波段遥感数据联合模拟及反演研究。该数据集包括21种全波段地物光谱；地物主要位于河北怀来，东北德惠、长春、蛟河，承德塞罕坝，内蒙古自治区正蓝旗等区域；可用于支持定量遥感辐射传输机理模型研究、跨波段协同地表参数反演、天空地遥感论证、地物精细分类等遥感应用。

The full-band vegetation spectrum dataset of Northeast and North China from 2016 to 2018 is a typical surface feature spectrum dataset covering full bands of visible light, infrared and microwave, which is dedicated to supporting joint simulation and inversion research of multi-source cross-band remote sensing data. This dataset includes 21 types of full-band surface feature spectra, with the main sampling areas including Huailai in Hebei Province, Dehui, Changchun and Jiaohe in Northeast China, Saihanba in Chengde, and Zhenglan Banner of Inner Mongolia Autonomous Region. It can be applied to support various remote sensing applications such as quantitative remote sensing radiative transfer mechanism model research, cross-band collaborative surface parameter inversion, space-air-ground remote sensing demonstration, and fine surface feature classification.

搜集汇总

背景与挑战

背景概述

该数据集是一个2016年至2018年期间在东北和华北地区采集的植被全波段光谱数据集，覆盖可见光、红外和微波波段，包含21个典型地物光谱，用于支持多源遥感数据的联合模拟和反演。数据集适用于定量遥感机制研究、跨波段参数反演和地物分类等应用，由中国科学院遥感与数字地球研究所提供。