A review of time domain reflectometry (TDR) applications in porous media
Time domain reflectometry (TDR) is the most widely used non-destructive method to
determine the water content of soils and other porous media. TDR equipment can be …
determine the water content of soils and other porous media. TDR equipment can be …
Machine learning algorithm based prediction of land use land cover and land surface temperature changes to characterize the surface urban heat island phenomena …
P Mohammad, A Goswami, S Chauhan, S Nayak - Urban Climate, 2022 - Elsevier
Rapid urbanization over the world's dense urban centers cause an enormous change in the
land use land cover (LULC) over a metropolitan area, which adversely affects the land …
land use land cover (LULC) over a metropolitan area, which adversely affects the land …
Assessment of precipitation extremes in India during the 21st century under SSP1-1.9 mitigation scenarios of CMIP6 GCMs
This study used a 30-year observed (1985–2014) precipitation, and the latest Coupled
Model Intercomparison Phase 6 (CMIP6) Shared Socioeconomic Pathways (SSPs) based …
Model Intercomparison Phase 6 (CMIP6) Shared Socioeconomic Pathways (SSPs) based …
Predictive modeling of land surface temperature (LST) based on Landsat-8 satellite data and machine learning models for sustainable development
Abstract Accurate prediction of Land Surface Temperature (LST) is critical for understanding
and mitigating the effects of climate change and land use dynamics. This study proposes a …
and mitigating the effects of climate change and land use dynamics. This study proposes a …
A review of machine learning approaches to soil temperature estimation
M Taheri, HK Schreiner, A Mohammadian, H Shirkhani… - Sustainability, 2023 - mdpi.com
Soil temperature is an essential factor for agricultural, meteorological, and hydrological
applications. Direct measurement, despite its high accuracy, is impractical on a large spatial …
applications. Direct measurement, despite its high accuracy, is impractical on a large spatial …
GLUE uncertainty analysis of hybrid models for predicting hourly soil temperature and application wavelet coherence analysis for correlation with meteorological …
Accurate prediction of soil temperature (T s) is critical for efficient soil, water and field crop
management. In this study, hourly T s variations at 5, 10, and 30 cm soil depth were …
management. In this study, hourly T s variations at 5, 10, and 30 cm soil depth were …
[HTML][HTML] Flower phenological events and duration pattern is influenced by temperature and elevation in Dhauladhar mountain range of Lesser Himalaya
M Ahmad, SK Uniyal, DR Batish, S Rathee… - Ecological …, 2021 - Elsevier
Studying phenology is undeniably one of the most effective ways to monitor and perceive
how a particular plant species interact and respond to varying environmental conditions. In …
how a particular plant species interact and respond to varying environmental conditions. In …
Correction of overestimation in observed land surface temperatures based on machine learning models
F Liu, X Wang, F Sun, H Wang, L Wu… - Journal of …, 2022 - journals.ametsoc.org
Land surface temperature (LST) is an essential variable for high-temperature prediction,
drought monitoring, climate, and ecological environment research. Several recent studies …
drought monitoring, climate, and ecological environment research. Several recent studies …
A complex network theory based approach to better understand the infiltration-excess runoff generation thresholds
Understanding hillslope-scale surface runoff generation processes are challenging due to
the non-linear interactions among the different hydro-meteorological variables. Often the …
the non-linear interactions among the different hydro-meteorological variables. Often the …
Investigation of hillslope vineyard soil water dynamics using field measurements and numerical modeling
Soil heterogeneities can impact hillslope hydropedological processes (eg, portioning
between infiltration and runoff), creating a need for in-depth knowledge of processes …
between infiltration and runoff), creating a need for in-depth knowledge of processes …