ماهواره‌های ابرطیفی؛ راهکاری برای بهبود پایش خشکیدگی جنگل‌های زاگرس

نوع مقاله : مقاله ترویجی

نویسندگان

• فردین مرادی ¹
• حبیب کریمی پور ²
• علی سروآزاد ³

¹ بخش تحقیقات منابع طبیعی، مرکز تحقیقات و آموزش کشاورزی و منابع طبیعی کرمانشاه، سازمان تحقیقات، آموزش و ترویج کشاورزی، ایران

² بخش تحقیقات حفاظت خاک و آبخیزداری، مرکز تحقیقات و آموزش کشاورزی و منابع طبیعی سمنان، سازمان تحقیقات، آموزش و ترویج کشاورزی، ایران.

³ استادیار، بخش تحقیقات منابع طبیعی، مرکز تحقیقات و آموزش کشاورزی و منابع طبیعی کرمانشاه، سازمان تحقیقات، آموزش و ترویج کشاورزی، ایران.

چکیده

کلیدواژه‌ها

• تنش گیاهی
• سلامت جنگل
• شاخص بازتاب فتوشیمیایی
• زوال بلوط

موضوعات

• حفاظت و حمایت منابع طبیعی(آفات و بیماری های مرتبط با جنگلها و مراتع)

Hyperspectral satellites: An approach improving monitoring of Iran's Zagros forest dieback

Fardin Moradi^1*, Habib Karimipour², Ali Sarvazad³

1^*- Department of Forest and Rangeland Research, Kermanshah Agricultural and Natural Resources Research and Education Center, AREEO, Kermanshah, Iran. ORCID ID: Email: fardin.moradi.tat@gmail.com | ORCID ID: 0000-0003-0036-0033

2- Department of Watershed Management, Semnan Agricultural and Natural Resources Research and Education Center, Semnan, Iran

3- Department of Forest and Rangeland Research, Kermanshah Agricultural and Natural Resources Research and Education Center, AREEO, Kermanshah, Iran

Received: 6/May/2026     Revised: 2/June/2026     Accepted: 4/June/2026

Abstract

Forest decline has emerged in recent years as one of the most critical challenges facing Iran's natural resources, particularly the Zagros forest ecosystems. Intensifying drought, climate change, and the lack of continuous monitoring have resulted in tree damage often being detected only after the decline process has reached advanced stages. In many cases, conventional field-based monitoring methods and commonly used multispectral satellite imagery are insufficient for detecting early signs of tree stress. This review evaluated the performance of hyperspectral data as an emerging tool for forest health monitoring in comparison with multispectral data. The findings indicated that indices derived from satellite-based hyperspectral data, particularly the Photochemical Reflectance Index (PRI) and Red Edge-related indices, are more sensitive than multispectral data to variations in leaf water content, chlorophyll concentration, and photosynthetic activity. Nevertheless, the application of satellite hyperspectral data in the Zagros forests is associated with certain limitations, as their relatively coarse spatial resolution may lead to spectral mixing in open-canopy forests, thereby reducing monitoring accuracy. Consequently, transferring findings from studies conducted in dense forests to the Zagros ecosystem requires local validation and the implementation of spatial resolution enhancement techniques for hyperspectral data. Given the free availability of PRISMA and EnMAP datasets, developing validation studies tailored to the ecological conditions of the Zagros forests can provide a foundation for more accurate forest health monitoring. Accordingly, establishing a continuous hyperspectral-based forest health monitoring system for the Zagros forests, adapting spectral analysis approaches to the specific characteristics of the region, and developing an integrated forest health database are among the principal recommendations of this review.

Keywords: Forest health, oak decline, photochemical reflectance index (PRI), plant stress.

Citation:

Moradi, F., Karimipour, H., and Sarvazad, A., 2026. Hyperspectral satellites: An approach improving monitoring of Iran's Zagros forest dieback. Zagros Ecosystem and Sustainable Development, 1(1): 42-49.

DOI: 10.22034/ZAGROS.2026.372688.1007

URL: https://zagros.areeo.ac.ir/article_135793.html

مرادی، ف.، کریمی‌پور، ح.،  سروآزاد، ع.، 1405. ماهواره‌های ابرطیفی؛ راهکاری برای بهبود پایش خشکیدگی جنگل‌های زاگرس. زیست‌بوم و توسعه پایدار زاگرس، 1(1): 49-42.