Results 71 to 80 of about 389,477 (323)

Impacts of Land Use/Land Cover Distributions and Vegetation Amount on Land Surface Temperature Simulation in East China

open access: yesEarth and Space Science, 2021
Land surface temperature (LST) plays a crucial role in the earth system because its heterogeneous spatial distributions can trigger local circulations through land surface‐atmosphere interactions.
Yongjie Pan, Yanhong Gao, Suosuo Li
doaj   +1 more source

Convolutional Neural Network Modelling for MODIS Land Surface Temperature Super-Resolution [PDF]

open access: yesarXiv, 2022
Nowadays, thermal infrared satellite remote sensors enable to extract very interesting information at large scale, in particular Land Surface Temperature (LST). However such data are limited in spatial and/or temporal resolutions which prevents from an analysis at fine scales.
arxiv  

Human Induced Impact on the Land Surface Temperature Dynamics of Obio/Akpor Local Government Area of River State, Nigeria [PDF]

open access: yes, 2020
This research is aimed at evaluating influence of human activities on the land surface temperature of Obio/Akpor L.G.A of River State. land surface temperature (LST) is the temperature of the skin surface of a land which can be derived from the satellite
Bethel , Chigozi Wali   +5 more
core   +1 more source

GEOSTATISTICAL ANALYSIS OF SURFACE TEMPERATURE AND IN-SITU SOIL MOISTURE USING LST TIME-SERIES FROM MODIS [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012
The objective of this analysis is to provide a quantitative estimate of the fluctuations of land surface temperature (LST) with varying near surface soil moisture (SM) on different land-cover (LC) types.
M. Sohrabinia, W. Rack, P. Zawar-Reza
doaj   +1 more source

MODELLING THE RELATIONSHIP BETWEEN LAND SURFACE TEMPERATURE AND LANDSCAPE PATTERNS OF LAND USE LAND COVER CLASSIFICATION USING MULTI LINEAR REGRESSION MODELS [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
The threat of the ailments related to urbanization like heat stress is very prevalent. There are a lot of things that can be done to lessen the effect of urbanization to the surface temperature of the area like using green roofs or planting trees in the ...
A. M. Bernales   +6 more
doaj   +1 more source

Preliminary assessment of an integrated SMOS and MODIS application for global agricultural drought monitoring [PDF]

open access: yes2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2020
An application of the Soil Moisture Agricultural Drought Index (SMADI) at the global scale is presented. The index integrates surface soil moisture from the SMOS mission with land surface temperature (LST) and Normalized Difference Vegetation Index (NDVI) from MODIS and allows for global drought monitoring at medium spatial scales (0.05 deg).. Biweekly
arxiv   +1 more source

Estimating Land Surface Temperature in the Central Part of Isfahan Province Based on Landsat-8 Data Using Split- Window Algorithm

open access: yesعلوم آب و خاک, 2020
Land surface temperature (LST) is used as one of the key sources to study land surface processes such as evapotranspiration, development of indexes, air temperature modeling and climate change.
M. Madanian   +4 more
doaj  

Investigations of Surface Urban Heat Island Effect Based on Local Climate Zone Method: A Case of Xi'an [PDF]

open access: yesE3S Web of Conferences, 2019
Urbanization seriously affects the urban climate and the quality of human settlement. Based on Landsat8 remote sensing and building vector data, local climate zone (LCZ) method is employed to study the influences of urban form on land surface temperature
Mu Kaikai   +4 more
doaj   +1 more source

A physics-constrained machine learning method for mapping gapless land surface temperature [PDF]

open access: yesarXiv, 2023
More accurate, spatio-temporally, and physically consistent LST estimation has been a main interest in Earth system research. Developing physics-driven mechanism models and data-driven machine learning (ML) models are two major paradigms for gapless LST estimation, which have their respective advantages and disadvantages.
arxiv  

The impact of satellite derived land surface temperatures on numerical weather predication analyses and forecasts [PDF]

open access: yes, 2017
Land surface temperature (LST) observations from a variety of satellite instruments operating in the infrared have been compared to estimates of surface temperature from the Met Office operational numerical weather prediction (NWP) model. The comparisons
Albergel   +27 more
core   +1 more source

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