Arid
USING SENTINEL 1-SAR FOR MONITORING LONG TERM VARIATION IN BURNT FOREST AREAS
Ruiz-Ramos, Javier; Marino, Armando; Boardman, Carl P.
通讯作者Ruiz-Ramos, Javier
会议名称38th IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
会议日期JUL 22-27, 2018
会议地点Valencia, SPAIN
英文摘要

Over the past decades, the great technological advances made in airborne and space sensors have led to a significant improvement in remote sensing methods and techniques used for studying worldwide natural ecosystem disturbances. More commonly, optical sensors are chosen for detecting landscapes transformation, however, in addition to the problematics associated to this technology due the requirement of certain technical and environmental conditions (sunlight, no cloud-coverage), these systems may offer a significant lower performance when studying the post-disturbance evolution.


In response to this challenge, this research aims to highlight the capabilities of Synthetic Aperture Radar -SAR satellite sensors for investigating the environmental evolution of forest areas affected by Mediterranean fire events. The use of a multitemporal analysis of ESA-Sentinel 1 SAR and Landsat 7 & Sentinel 2 optical satellite image series allowed us to explore the post-fire natural evolution of the areas affected by the Donana national park forest fire occurred in June-July 2017 in two different ways: 1. Monitoring radar image intensity changes to evaluate environmental disturbances within the affected areas; 2. Comparing the response of both optical and radar satellite systems to the extraction of long-term environmental information.


The results obtained from both the backscatter signal analysis and the systems comparison illustrate the SAR technology's efficiency in detecting and studying temporal changes in the natural conditions of the areas affected by fire events.


英文关键词SAR polarimetry Sentinel-1 forest fire change detection desertification
来源出版物IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM
ISSN2153-6996
出版年2018
页码4901-4904
EISBN978-1-5386-7150-4
出版者IEEE
类型Proceedings Paper
语种英语
国家England
收录类别CPCI-S
WOS记录号WOS:000451039804206
WOS类目Engineering, Electrical & Electronic ; Geosciences, Multidisciplinary ; Remote Sensing
WOS研究方向Engineering ; Geology ; Remote Sensing
资源类型会议论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/307284
作者单位Open Univ, Sch Engn & Innovat, Milton Keynes, Bucks, England
推荐引用方式
GB/T 7714
Ruiz-Ramos, Javier,Marino, Armando,Boardman, Carl P.. USING SENTINEL 1-SAR FOR MONITORING LONG TERM VARIATION IN BURNT FOREST AREAS[C]:IEEE,2018:4901-4904.
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