Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Scale gaps in landscape phenology: challenges and opportunities
Phenology, or the timing of life history events, can be heterogeneous across biological
communities and landscapes and can vary across a wide variety of spatiotemporal scales …
communities and landscapes and can vary across a wide variety of spatiotemporal scales …
Bulk processing of multi-temporal modis data, statistical analyses and machine learning algorithms to understand climate variables in the indian himalayan region
Studies relating to trends of vegetation, snowfall and temperature in the north-western
Himalayan region of India are generally focused on specific areas. Therefore, a proper …
Himalayan region of India are generally focused on specific areas. Therefore, a proper …
The tempo of greening in the European Alps: Spatial variations on a common theme
The long‐term increase in satellite‐based proxies of vegetation cover is a well‐documented
response of seasonally snow‐covered ecosystems to climate warming. However, observed …
response of seasonally snow‐covered ecosystems to climate warming. However, observed …
[HTML][HTML] NDVI indicates long-term dynamics of vegetation and its driving forces from climatic and anthropogenic factors in Mongolian Plateau
In recent years, global warming and intense human activity have been responsible for
significantly altering vegetation dynamics on the Mongolian Plateau. Understanding the long …
significantly altering vegetation dynamics on the Mongolian Plateau. Understanding the long …
[HTML][HTML] Seasonal vegetation trends for Europe over 30 years from a novel normalised difference vegetation index (NDVI) time-series—The TIMELINE NDVI product
Remote sensing multi-decadal time-series provide important information for analysing long-
term environmental change. The Advanced Very High Resolution Radiometer (AVHRR) has …
term environmental change. The Advanced Very High Resolution Radiometer (AVHRR) has …
Completing the machine learning saga in fractional snow cover estimation from MODIS Terra reflectance data: Random forests versus support vector regression
S Kuter - Remote Sensing of Environment, 2021 - Elsevier
This study; i) investigates the suitability of two frequently employed machine learning
algorithms in remote sensing, namely, random forests (RFs) and support vector regression …
algorithms in remote sensing, namely, random forests (RFs) and support vector regression …
Reanalysis datasets outperform other gridded climate products in vegetation change analysis in peripheral conservation areas of Central Asia
Global environmental research requires long-term climate data. Yet, meteorological
infrastructure is missing in the vast majority of the world's protected areas. Therefore …
infrastructure is missing in the vast majority of the world's protected areas. Therefore …
[HTML][HTML] Downscaling land surface temperature from MODIS dataset with random forest approach over alpine vegetated areas
In this study, we evaluated three different downscaling approaches to enhance spatial
resolution of thermal imagery over Alpine vegetated areas. Due to the topographical and …
resolution of thermal imagery over Alpine vegetated areas. Due to the topographical and …
The world's mountains in the Anthropocene
U Schickhoff, M Bobrowski, S Mal, N Schwab… - Mountain landscapes in …, 2022 - Springer
This review summarizes current understanding of drivers for change and of the impact of
accelerating global changes on mountains, encompassing effects of climate change and …
accelerating global changes on mountains, encompassing effects of climate change and …
[HTML][HTML] Spatial predictors and temporal forecast of total organic carbon levels in boreal lakes
Browning of Fennoscandian boreal lakes is raising concerns for negative ecosystem
impacts as well as reduced drinking water quality. Declined sulfur deposition and warmer …
impacts as well as reduced drinking water quality. Declined sulfur deposition and warmer …