Performance Evaluation of Long NDVI Timeseries from AVHRR, MODIS and Landsat Sensors over Landslide-Prone Locations in Qinghai-Tibetan Plateau

• Published in: Remote sensing (Basel, Switzerland) Vol. 13; no. 16; p. 3172
• Main Authors: Sajadi, Payam, Sang, Yan-Fang, Gholamnia, Mehdi, Bonafoni, Stefania, Brocca, Luca, Pradhan, Biswajeet, Singh, Amit
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 11.08.2021
• Subjects: Agricultural land; China; Climate change; Correlation coefficient; Correlation coefficients; cropland; data collection; Datasets; Fourier analysis; Fourier transforms; Grasslands; HANTS; Harmonic analysis; Land cover; Landsat; Landsat satellites; Landslides; Landslides & mudslides; MODIS; Monitoring; Natural vegetation; NDVI; Noise; Noise reduction; Performance evaluation; Performance measurement; Phenology; Pine needles; Precipitation; Qinghai-Tibetan Plateau; reconstruction; Reliability analysis; Remote sensing; Respiration; Root-mean-square errors; Satellites; Seasons; Sensors; Signal to noise ratio; Time series; time series analysis; Topography; Trend analysis; Trends; Vegetation; wavelet; wavelet threshold denoising; Tibetan Plateau; China

The existence of several NDVI products in Qinghai-Tibetan Plateau (QTP) makes it challenging to identify the ideal sensor for vegetation monitoring as an important factor for landslide detection studies. A pixel-based analysis of the NDVI time series was carried out to compare the performances of fi...