The different impacts of the daytime and nighttime land surface temperatures on the alpine grassland phenology
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This article is published in Ecosphere.The article was published on 2021-06-01 and is currently open access. It has received 11 citations till now. The article focuses on the topics: Phenology.read more
Citations
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UAV-derived imagery for vegetation structure estimation in rangelands: validation and application
Journal ArticleDOI
Detecting the Turning Points of Grassland Autumn Phenology on the Qinghai-Tibetan Plateau: Spatial Heterogeneity and Controls
Yan-zheng Yang,Ning Qi,Jun Zhao,Nan Meng,Zijian Lu,Xuezhi Wang,Le Kang,Boheng Wang,Ruonan Li,Jinfeng Ma,Hua Zheng +10 more
TL;DR: Wang et al. as mentioned in this paper investigated the spatial heterogeneity and control of the end-season phenology in alpine and cold grassland in the Qinghai-Tibetan Plateau.
Journal ArticleDOI
Trends in land surface temperature and its drivers over the High Mountain Asia
Seema Rani,Suraj Mal +1 more
TL;DR: In this paper , the authors estimated spatial and temporal trends in daytime land surface temperature (LST) and its drivers (elevation, cloud fraction (CF), atmospheric water vapor (AWV), normalized difference vegetation index (NDVI), and snow cover area (SCA)) over the High Mountain Asia (HMA) during 2001-2019 using MODIS remote sensing data.
Journal ArticleDOI
A Hybrid Clustering Method with a Filter Feature Selection for Hyperspectral Image Classification
TL;DR: In this article , a filter feature selection method was designed to select the most representative features based on similarity measures, and the weights of applicable similarity measures were computed based on coefficients of variation (CVs) of similarity measures.
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Impacts of Climate Change on European Grassland Phenology: A 20-Year Analysis of MODIS Satellite Data
Edoardo Bellini,Marco Moriondo,Camilla Dibari,Luisa Leolini,Nicolina Staglianò,Laura Stendardi,Gianluca Filippa,Marta Galvagno,Giovanni Argenti +8 more
TL;DR: In this paper , the authors identify a methodology for a reliable estimation of grassland phenological dates from a satellite vegetation index (i.e., kernel normalized difference vegetation index, kNDVI) and quantify the changes that have occurred over the period 2001-2021 in a representative dataset of European grasslands and assess the extent of climate change impacts.
References
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Estimates of the Regression Coefficient Based on Kendall's Tau
TL;DR: In this article, a simple and robust estimator of regression coefficient β based on Kendall's rank correlation tau is studied, where the point estimator is the median of the set of slopes (Yj - Yi )/(tj-ti ) joining pairs of points with ti ≠ ti.
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TL;DR: The measurement of rank correlation was introduced in this paper, and rank correlation tied ranks tests of significance were applied to the problem of m ranking, and variate values were used to measure rank correlation.
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Climate change, phenology, and phenological control of vegetation feedbacks to the climate system
Andrew D. Richardson,Trevor F. Keenan,Mirco Migliavacca,Youngryel Ryu,Youngryel Ryu,Oliver Sonnentag,Oliver Sonnentag,Michael Toomey +7 more
TL;DR: In this paper, the authors discuss the environmental drivers of phenology, and the impacts of climate change on phenology in different biomes, and assess the potential impact on these feedbacks of shifts in phenology driven by climate change.
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A continental phenology model for monitoring vegetation responses to interannual climatic variability
TL;DR: In this article, the authors developed predictive phenology models based on traditional phenology research using commonly available meteorological and climatological data and compared with satellite phenology observations at numerous 20 km x 20 km contiguous landcover sites.
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