Remote sensing for monitoring rangeland condition: Current status and development of methods

遥感 生态系统服务 计算机科学 环境资源管理 地球观测 环境科学 比例(比率) 地理 生态系统 卫星 生态学 工程类 地图学 航空航天工程 生物
作者
Angus Retallack,Graeme Finlayson,Bertram Ostendorf,Kenneth Clarke,Megan Lewis
出处
期刊:Environmental and sustainability indicators [Elsevier]
卷期号:19: 100285-100285 被引量:8
标识
DOI:10.1016/j.indic.2023.100285
摘要

This paper reviews the current status and development of remote sensing methods for monitoring rangeland condition. Remote sensing offers ideal solutions for assessing ecological indicators in vast and remote rangeland regions, with expanding opportunities emerging through new platforms, sensors and analytical methods. We summarise indicators widely used to assess rangeland ecosystem structure, function, and composition and review remote sensing methods for measuring them. We present a framework for rating the maturity of these methods and evaluate their potential for implementation into operational monitoring programmes. There is a distinct lack of uptake of remote sensing methods beyond regional-scale satellite products, with on-ground approaches remaining dominant for many essential indicators. However, we highlight considerable recent research using rapidly developing sensor and platform technologies, such as LiDAR and UAVs, which provide unprecedented types and resolutions of data and are driving development of information extraction methods. Three-dimensional modelling using structure from motion (SfM) and LiDAR is increasingly used for measuring all aspects of ecosystem condition and may also improve assessment of ecological indicators where spectral sensing has reached its limit. We introduce a framework for assessing remote sensing capabilities and maturity, and provide an overview of development pathways, which will focus ongoing research and development. It may also stimulate uptake of well-developed remote sensing methodologies into operational monitoring programmes by land managers. The use of best-available methods will greatly assist in maintaining and improving the condition of global arid ecosystems, benefiting all stakeholders in these regions, and preserving their natural services for future generations.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
义气尔芙发布了新的文献求助10
刚刚
tanrui完成签到,获得积分10
刚刚
健忘蘑菇完成签到,获得积分10
刚刚
积木发布了新的文献求助10
1秒前
世界尽头发布了新的文献求助10
1秒前
hyw完成签到,获得积分10
1秒前
黄训清完成签到,获得积分10
1秒前
万能图书馆应助暮色陈陈采纳,获得10
1秒前
1秒前
dongmei发布了新的文献求助10
1秒前
屹男发布了新的文献求助10
2秒前
2秒前
Quin完成签到,获得积分10
2秒前
小烊醒醒应助心随以动采纳,获得10
2秒前
li完成签到 ,获得积分10
3秒前
sunran0完成签到,获得积分10
3秒前
十七发布了新的文献求助10
3秒前
3秒前
SieuBeo完成签到,获得积分10
3秒前
斯文败类应助lixiaofan采纳,获得10
3秒前
小徐完成签到,获得积分10
3秒前
香蕉觅云应助wangxin采纳,获得10
3秒前
4秒前
Orange应助天天看文献采纳,获得10
4秒前
4秒前
浮浮世世发布了新的文献求助10
5秒前
Eve完成签到 ,获得积分10
5秒前
nuaa_shy应助YangSY采纳,获得10
5秒前
5秒前
MchemG应助无情的依柔采纳,获得30
5秒前
彭于晏应助Atalent采纳,获得10
5秒前
peikyang完成签到,获得积分10
6秒前
Dean应助微笑笑卉采纳,获得100
6秒前
zzzz发布了新的文献求助10
6秒前
111完成签到,获得积分10
6秒前
所所应助傻傻的咖啡豆采纳,获得10
6秒前
DK发布了新的文献求助10
7秒前
无极微光应助移动马桶采纳,获得20
7秒前
7秒前
7秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 3000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Principles of town planning : translating concepts to applications 500
Short-Wavelength Infrared Windows for Biomedical Applications 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6060128
求助须知:如何正确求助?哪些是违规求助? 7892656
关于积分的说明 16302328
捐赠科研通 5204294
什么是DOI,文献DOI怎么找? 2784239
邀请新用户注册赠送积分活动 1766953
关于科研通互助平台的介绍 1647287