[Calls for Abstracts] AOGS 2025 - Session BG18

Remote Sensing of Terrestrial Vegetation: Observations, Modeling, and Applications


In-Person Meeting 27 July to 01 August 2025
Sands Expo & Convention Centre Marina Bay Sands Singapore

AOGS conference website
Sessions and conveners

Session Description

Terrestrial vegetation plays a crucial role in regulating climate, sustaining biodiversity, maintaining hydrological cycles, and driving essential biogeochemical processes that support both ecosystems and human life. Remote sensing enables efficient, large-scale, and continuous monitoring of vegetation, providing valuable data on its biophysical and biochemical properties across diverse and often inaccessible regions. However, accurately interpreting remote sensing data for vegetation monitoring presents significant challenges due to factors such as observational resolution and temporal limitations, environmental influences like topography, and the complex interactions among background, biophysical, and biochemical processes within vegetation. These complexities necessitate the integration of multi-source observations, alongside advanced models and algorithms, to enhance applications in carbon cycling, precision agriculture, biodiversity conservation, and ecological disturbance monitoring. This session seeks to attract studies on remote sensing vegetation monitoring, including but not limited to:

  1. field measurements and near-surface remote sensing observations of vegetation;
  2. retrieval of vegetation properties using optical, LiDAR, or SAR remote sensing;
  3. data fusion from different platforms for vegetation monitoring;
  4. development and simulation of radiative transfer theories and models;
  5. the application of remote sensing technologies for large-scale vegetation monitoring.

Session Conveners

  • Dr. Tiangang YIN (The Hong Kong Polytechnic University)
  • Prof. Guangjian Yan (School of Geography, Beijing Normal University)
  • Dr. Hao Tang (National University of Singapore)
  • Dr. Hideki Kobayashi (Japan Agency for Marine-Earth Science and Technology)
  • Dr. Shanshan Wei (Centre for Remote Imaging, Sensing and Processing, National University of Singapore)
    conveners

Submission

Abstract Deadline: 18 Feb 2025
Submission portal: https://meetmatt-svr.net/Account/Login
Submission guideline: https://www.asiaoceania.org/aogs2025/public.asp?page=submissions.asp#hts

[征稿邀请] 第22届亚洲大洋洲地球科学学会年会(AOGS 2025) - BG18 分会场

地表植被遥感: 观测，建模与应用

会议日期：2025年7月27日至8月1日
会议地点：新加坡 金沙会议展览中心
会议官网
分会与召集人

分会简介

陆地植被在调节气候、维持生物多样性、保持水文循环和推动支持生态系统及人类生活的基本生物地球化学过程中起着至关重要的作用。遥感技术使得我们能够高效地进行大规模且连续的植被监测，提供有关其生物物理和生化属性的宝贵数据，覆盖广泛且往往难以接近的地区。然而，由于观测分辨率和时间限制、地形等环境因素的影响，以及植被中背景、生物物理和生化过程之间的复杂相互作用，准确解读植被监测的遥感数据面临重大挑战。这些复杂性需要结合多源观测数据以及先进的模型和算法，以增强其在碳循环、精准农业、生物多样性保护和生态干扰监测等应用中的作用。本次会议旨在吸引关于遥感植被监测的研究，包括但不限于：

  1. 植被的实地测量和近地面遥感观测；
  2. 使用光学、激光雷达或合成孔径雷达遥感技术检索植被属性；
  3. 不同平台数据融合用于植被监测；
  4. 辐射传输理论和模型的开发与仿真；
  5. 遥感技术在大规模植被监测中的应用。

分会召集人

  • 殷天罡 博士 (香港理工大学)
  • 阎广建 教授 (北京师范大学)
  • 唐昊 博士 (新加坡国立大学)
  • 小林秀樹 博士 (Japan Agency for Marine-Earth Science and Technology)
  • 魏珊珊 博士 (CRISP, 新加坡国立大学)

投稿方式

截止日期: 2025年2月18日
投稿网站: https://meetmatt-svr.net/Account/Login
官方指南: https://www.asiaoceania.org/aogs2025/public.asp?page=submissions.asp#hts