Remote Sensing from Different Sources for Crop Growth Monitoring in the Area of the Lower Northern Mississippi

Challenges Pub Date : 2023-02-14 DOI:10.3390/challe14010012
Yanbo Huang, G. Feng, H. Tewolde, M. Shankle
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Abstract

Remote sensing monitoring of crop growth began from airborne photography to assist in crop pest management and has evolved into monitoring from satellites, manned aircraft, unmanned aerial vehicles (UAVs), and ground-based systems for crop production process modeling, optimization, and control. In recent years, for crop growth remote sensing monitoring, apart from satellites, manned aircrafts, and ground-based systems, UAVs have been developed and widely used for low-altitude remote sensing of crop fields to uniquely provide a cost-effective, flexible tool for field crop growth remote sensing. Additionally, their data create a critical layer between all other remote sensing platforms. This paper overviews the use of remote sensing from difference sources, especially airborne remote sensing from manned aircraft and UAVs, to monitor crop growth in the area of the lower northern Mississippi from the Mississippi Delta to the Black Prairie, one of the most important agricultural areas in the U.S. In this paper, three sites typical in the area are demonstrated for remote sensing monitoring of crop growth, and the issues and challenges are identified and discussed for future opportunities to integrate remote sensing data from different sources to improve crop monitoring in this area and surrounding areas.
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来自不同来源的遥感作物生长监测在下北密西西比地区
作物生长的遥感监测始于航空摄影,以协助作物病虫害管理,并已演变为卫星,有人驾驶飞机,无人驾驶飞行器(uav)和地面系统的监测,用于作物生产过程建模,优化和控制。近年来,在作物生长遥感监测方面,除了卫星、载人飞机和地面系统外,无人机已经发展并广泛应用于农田低空遥感,为农田作物生长遥感提供了一种独特的经济、灵活的工具。此外,他们的数据在所有其他遥感平台之间建立了一个关键的层。本文概述了从密西西比三角洲到美国最重要的农业区之一的密西西比北部下游地区,利用不同来源的遥感,特别是有人驾驶飞机和无人机的机载遥感来监测作物生长。本文以该地区典型的三个站点为例,展示了该地区作物生长的遥感监测。并确定和讨论了问题和挑战,以便未来有机会整合来自不同来源的遥感数据,以改善该地区及周边地区的作物监测。
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