Results 91 to 100 of about 389,477 (323)
European Journal of Remote Sensing, 2021 This study analyzes the long-term monthly variation of land surface temperature (LST) and its relationship with normalized difference spectral indices in the Raipur City of India using one hundred and 23 Landsat images from 1988 to 2020. In specific, the
Subhanil Guha, Himanshu Govil
doaj +1 more source
Remote Sensing, 2021 The MODIS land surface temperature (LST) product is one of the most widely used data sources to study the climate and energy-water cycle at a global scale.
Junlei Tan +5 more
doaj +1 more source
ARMA Model Development and Analysis for Global Temperature Uncertainty [PDF]
arXiv, 2023 Temperature uncertainty models for land and sea surfaces can be developed based on statistical methods. In this paper, we developed a novel time series temperature uncertainty model which is the Auto-regressive Moving Average (ARMA)(1, 1) model. The model was developed for observed annual mean temperature anomaly X(t) which is a combination of true ...
arxiv
Quarterly Journal of the Royal Meteorological Society, EarlyView.By examining the downstream propagation of convective storms developed along a city belt leading to a heavy rainfall event at a remote distance in East China, this study shows the importance of urban effects interacting with lake/sea breezes in triggering deep convection.
Xiaoling Jiang, Da‐Lin Zhang, Yali Luo
wiley +1 more source
Remote Sensing in Ecology and Conservation, EarlyView.Australia experienced one of the most devastating and intense wildfire seasons on record in 2019–2020. One challenge is to create effective models to identify areas prone to wildfires and understand the vulnerable conditions that will lead to these catastrophic events.
Yuanhui Zhu +4 more
wiley +1 more source
LAND SURFACE TEMPERATURES ESTIMATED ON GROUNDOBSERVED DATA AND SATELLITE IMAGES, DURING THE VEGETATION PERIOD IN THE OLTENIA PLAIN [PDF]
Aerul şi Apa: Componente ale Mediului, 2015 The purpose of this study is to analyze the land surface temperatures by using climatological and remote sensing data during the vegetation period in the Oltenia Plain.
ONŢEL IRINA, IONAC NICOLETA
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Interannual Spatiotemporal Variations of Land Surface Temperature in China From 2003 to 2018
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Land surface temperature (LST) is a comprehensive embodiment of surface energy balance and land surface processes. The spatial and temporal variation of LST is of great significance for studying surface characteristics and climate change.
Yanru Yu +6 more
doaj +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Soil moisture (SM) plays a vital role in linking the global terrestrial water, energy, and carbon cycles. Land data assimilation (DA) is typically applied for acquiring more accurate SM estimates by incorporating remote sensing (RS) retrievals to constraint model parameters and system states.
Jiaxin Tian +8 more
openaire +2 more sources
Urbanisation increases cloudiness over Greater Kuala Lumpur during southwest and northeast monsoons
Weather, EarlyView.Urban areas consistently experience more cloudy days than rural areas. For instance, at 1500 local time (LT) during the southwest monsoon (dry season, June–July–August) peak cloudiness is 1.22 times higher, and during the northeast monsoon (wet season, December–January–February) it is 1.24 times higher. Cloud cover peaks between 1400 LT and 1600 LT and
Sharifah Faridah Syed Mahbar +1 more
wiley +1 more source
Spatially Continuous and High-resolution Land Surface Temperature: A Review of Reconstruction and Spatiotemporal Fusion Techniques [PDF]
, 2019 Remotely sensed, spatially continuous and high spatiotemporal resolution (hereafter referred to as high resolution) land surface temperature (LST) is a key parameter for studying the thermal environment and has important applications in many fields.
arxiv +1 more source