Regional Drought Monitoring Based on Multi-Sensor Remote Sensing

Jinyoung Rhee; Jungho Im; Seonyoung Park

doi:10.1201/9781003541417-5

Regional Drought Monitoring Based on Multi-Sensor Remote Sensing

Jinyoung Rhee
, Jungho Im
, Seonyoung Park

Dept. of Applied Artificial Intelligence

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

1 Scopus citations

Abstract

This chapter investigates the regional drought monitoring methodology that utilizes multi-sensor remote sensing data. Recent trends in studies based on remote sensing-based drought monitoring are presented in the following section, and the development of the Scaled Drought Condition Index (SDCI) and its advances are introduced. Case studies of the Korean Peninsula and the United States are provided by applying the advanced SDCI for regional drought monitoring.

Original language	English
Title of host publication	Remote Sensing Handbook, Volume VI (Six Volume Set)
Subtitle of host publication	Droughts, Disasters, Pollution, and Urban Mapping, Second Edition
Publisher	CRC Press
Pages	87-108
Number of pages	22
Volume	4
ISBN (Electronic)	9781040203453
ISBN (Print)	9781032891484
DOIs	https://doi.org/10.1201/9781003541417-5
State	Published - 1 Jan 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1201/9781003541417-5

Cite this

@inbook{aecdf56d49994382b2a6a0ff8e304be5,

title = "Regional Drought Monitoring Based on Multi-Sensor Remote Sensing",

abstract = "This chapter investigates the regional drought monitoring methodology that utilizes multi-sensor remote sensing data. Recent trends in studies based on remote sensing-based drought monitoring are presented in the following section, and the development of the Scaled Drought Condition Index (SDCI) and its advances are introduced. Case studies of the Korean Peninsula and the United States are provided by applying the advanced SDCI for regional drought monitoring.",

author = "Jinyoung Rhee and Jungho Im and Seonyoung Park",

note = "Publisher Copyright: {\textcopyright} 2025 selection and editorial matter, Prasad S. Thenkabail.",

year = "2024",

month = jan,

day = "1",

doi = "10.1201/9781003541417-5",

language = "English",

isbn = "9781032891484",

volume = "4",

pages = "87--108",

booktitle = "Remote Sensing Handbook, Volume VI (Six Volume Set)",

publisher = "CRC Press",

}

TY - CHAP

T1 - Regional Drought Monitoring Based on Multi-Sensor Remote Sensing

AU - Rhee, Jinyoung

AU - Im, Jungho

AU - Park, Seonyoung

PY - 2024/1/1

Y1 - 2024/1/1

N2 - This chapter investigates the regional drought monitoring methodology that utilizes multi-sensor remote sensing data. Recent trends in studies based on remote sensing-based drought monitoring are presented in the following section, and the development of the Scaled Drought Condition Index (SDCI) and its advances are introduced. Case studies of the Korean Peninsula and the United States are provided by applying the advanced SDCI for regional drought monitoring.

AB - This chapter investigates the regional drought monitoring methodology that utilizes multi-sensor remote sensing data. Recent trends in studies based on remote sensing-based drought monitoring are presented in the following section, and the development of the Scaled Drought Condition Index (SDCI) and its advances are introduced. Case studies of the Korean Peninsula and the United States are provided by applying the advanced SDCI for regional drought monitoring.

UR - https://www.scopus.com/pages/publications/85211883931

U2 - 10.1201/9781003541417-5

DO - 10.1201/9781003541417-5

M3 - Chapter

AN - SCOPUS:85211883931

SN - 9781032891484

VL - 4

SP - 87

EP - 108

BT - Remote Sensing Handbook, Volume VI (Six Volume Set)

PB - CRC Press

ER -

Regional Drought Monitoring Based on Multi-Sensor Remote Sensing

Abstract

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this