[PDF][PDF] 积雪, 土壤冻融与土壤水分遥感监测研究进展
蒋玲梅, 崔慧珍, 王功雪, 杨建卫, 王健, 潘方博, 苏旭… - 遥感技术与应用, 2020 - rsta.ac.cn
积雪, 土壤冻融与土壤水分是陆表能量与水分以及碳交换过程研究中的重要因子,
为了更好地了解积雪覆盖, 雪深/雪水当量, 土壤冻融状态和土壤水分等参数的遥感监测领域的 …
为了更好地了解积雪覆盖, 雪深/雪水当量, 土壤冻融状态和土壤水分等参数的遥感监测领域的 …
Stream-flow forecasting using extreme learning machines: a case study in a semi-arid region in Iraq
Monthly stream-flow forecasting can yield important information for hydrological applications
including sustainable design of rural and urban water management systems, optimization of …
including sustainable design of rural and urban water management systems, optimization of …
Remote sensing of environmental changes in cold regions: Methods, achievements and challenges
Cold regions, including high-latitude and high-altitude landscapes, are experiencing
profound environmental changes driven by global warming. With the advance of earth …
profound environmental changes driven by global warming. With the advance of earth …
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 …
Multi-sensor fusion using random forests for daily fractional snow cover at 30 m
In addition to providing water for nearly 2 billion people, snow drives resource selection by
wildlife and influences the behavior and demography of many species. Because snow cover …
wildlife and influences the behavior and demography of many species. Because snow cover …
Retrieval of fractional snow covered area from MODIS data by multivariate adaptive regression splines
In this paper, a novel approach to estimate fractional snow cover (FSC) from MODIS data in
a complex and heterogeneous Alpine terrain is represented by using a state-of-the-art …
a complex and heterogeneous Alpine terrain is represented by using a state-of-the-art …
[HTML][HTML] Estimating fractional snow cover in vegetated environments using MODIS surface reflectance data
Advances in snow-cover mapping techniques have resulted in more accurate estimation of
fractional snow cover (FSC) in areas with no vegetation; however, vegetation interference …
fractional snow cover (FSC) in areas with no vegetation; however, vegetation interference …
A wavelet-artificial intelligence fusion approach (WAIFA) for blending Landsat and MODIS surface temperature
V Moosavi, A Talebi, MH Mokhtari, SRF Shamsi… - Remote Sensing of …, 2015 - Elsevier
Land surface temperature (LST) is one of the key parameters in the physics of earth surface
processes from local to global scales. However, thermal infrared (TIR) images at both high …
processes from local to global scales. However, thermal infrared (TIR) images at both high …
Estimation of actual evapotranspiration by using MODIS images (a case study: Tajan catchment)
S Rahimi, MA Gholami Sefidkouhi… - Archives of Agronomy …, 2015 - Taylor & Francis
Evapotranspiration (ET) is one of the most effective variables to determine water balance in
a region. Accurate estimation of ET flux is vital for agricultural scheduling and water resource …
a region. Accurate estimation of ET flux is vital for agricultural scheduling and water resource …
On the reliability of a novel MODWT-based hybrid ARIMA-artificial intelligence approach to forecast daily snow depth (Case study: the western part of the Rocky …
A Adib, A Zaerpour, M Lotfirad - Cold Regions Science and Technology, 2021 - Elsevier
In this study, a novel algorithm is presented to combine different wavelet transform (WT)
approaches comprising discrete wavelet transform (DWT), maximal overlap discrete wavelet …
approaches comprising discrete wavelet transform (DWT), maximal overlap discrete wavelet …