气候变化领域集成服务门户(CCPortal): Can VIIRS continue the legacy of MODIS for near real-time monitoring of tropical forest disturbance?

CCPortal

DOI	10.1016/j.rse.2020.112024
	Can VIIRS continue the legacy of MODIS for near real-time monitoring of tropical forest disturbance?
	Tang X.; Bullock E.L.; Olofsson P.; Woodcock C.E.
发表日期	2020
ISSN	00344257
卷号	249
英文摘要	Near real-time monitoring of forest disturbance is a critical tool for combating illegal logging. The only feasible data sources for near real-time monitoring over large area are remote sensing data, and historically the only sensors with repeat times sufficient for near-real time monitoring are from coarse-resolution sensors such as MODIS. The MODIS sensors onboard the Terra and Aqua satellites have provided near daily global observations in the red and NIR spectral bands at 250 m resolution since 1999. While their longevity is impressive, the sensors are nearing the end of their lifespan and the MODIS data record will be continued by the VIIRS sensor onboard Suomi NPP. But because of the spatial and spectral differences between MODIS and VIIRS, it is worth investigating whether VIIRS can replace MODIS as input data for near real-time monitoring. In this article, we compared the performance of the NRT-CCDC (Near Real-Time Continuous Change Detection and Classification) algorithm using the Terra/ and Aqua/MODIS composites at 250 m resolution, Terra/MODIS 250 m and 500 m surface reflectance, Aqua/MODIS 250 m and 500 m surface reflectance, and VIIRS 500 m surface reflectance. We found that the algorithm using composites from both MODIS sensors and Terra/MODIS data at 250 m resolution outperformed the results obtained when using VIIRS data. The results were similar when using 500 m data from Terra/MODIS alone compared to VIIRS data. We found that a morning overpass, like that of Terra, is preferable to an afternoon overpass, which is employed by VIIRS and Aqua. Spatial and temporal resolution of the input data are two key factors in successful near real-time monitoring of forest disturbance. © 2020 Elsevier Inc.
英文关键词	Accuracy assessment; CCDC; Deforestation; MODIS; Near real-time; Time series; Tropics; VIIRS
语种	英语
scopus关键词	Forestry; Input output programs; Monitoring; Overpasses; Reflection; Remote sensing; Tropics; Forest disturbances; Global observation; Near-real-time monitoring; Remote sensing data; Resolution sensors; Spatial and temporal resolutions; Spectral differences; Surface reflectance; Radiometers; Aqua (satellite); logging (timber); MODIS; observational method; performance assessment; real time; remote sensing; satellite data; spectral analysis; Suomi NPP; surface reflectance; Terra (satellite); tropical forest; VIIRS
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179167
作者单位	Department of Earth & Environment, Boston University 685 Commonwealth Avenue, Boston, MA 02215, United States
推荐引用方式 GB/T 7714	Tang X.,Bullock E.L.,Olofsson P.,et al. Can VIIRS continue the legacy of MODIS for near real-time monitoring of tropical forest disturbance?[J],2020,249.
APA	Tang X.,Bullock E.L.,Olofsson P.,&Woodcock C.E..(2020).Can VIIRS continue the legacy of MODIS for near real-time monitoring of tropical forest disturbance?.Remote Sensing of Environment,249.
MLA	Tang X.,et al."Can VIIRS continue the legacy of MODIS for near real-time monitoring of tropical forest disturbance?".Remote Sensing of Environment 249(2020).