Seyed Kazem Alavipanah

Orcid: 0000-0002-3554-111X

According to our database1, Seyed Kazem Alavipanah authored at least 27 papers between 2013 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
RUSLE/SDR for assessment of soil erosion by a new non-convex regression.
Earth Sci. Informatics, January, 2025

Investigating heat-related health risks related to local climate zones using SDGSAT-1 high-resolution thermal infrared imagery in an arid megacity.
Int. J. Appl. Earth Obs. Geoinformation, 2025

2024
A new classification scheme for urban impervious surface extraction from UAV data.
Earth Sci. Informatics, October, 2024

SAR Temporal Shifting: A New Approach for Optical-to-SAR Translation with Consistent Viewing Geometry.
Remote. Sens., August, 2024

Integration of Sentinel-1 and Sentinel-2 Data for Ground Truth Sample Migration for Multi-Temporal Land Cover Mapping.
Remote. Sens., May, 2024

SSL-SoilNet: A Hybrid Transformer-Based Framework With Self-Supervised Learning for Large-Scale Soil Organic Carbon Prediction.
IEEE Trans. Geosci. Remote. Sens., 2024

An Adjacency-Effect-Based Approach for Accuracy Improvement in Satellite Land Surface Temperature Disaggregation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

TSGAN: An Optical-to-SAR Dual Conditional GAN for Optical based SAR Temporal Shifting.
CoRR, 2024

2023
Assessing the Effect of Urban Growth on Surface Ecological Status Using Multi-Temporal Satellite Imagery: A Multi-City Analysis.
ISPRS Int. J. Geo Inf., October, 2023

Simultaneous retrieval of sugarcane variables from Sentinel-2 data using Bayesian regularized neural network.
Int. J. Appl. Earth Obs. Geoinformation, February, 2023

SoilNet: An Attention-based Spatio-temporal Deep Learning Framework for Soil Organic Carbon Prediction with Digital Soil Mapping in Europe.
CoRR, 2023

2022
A new approach to LST modeling and normalization under clear-sky conditions based on a local optimization strategy.
Int. J. Digit. Earth, December, 2022

Identifying sand and dust storm sources using spatial-temporal analysis of remote sensing data in Central Iran.
Ecol. Informatics, 2022

2020
A Remotely Sensed Assessment of Surface Ecological Change over the Gomishan Wetland, Iran.
Remote. Sens., 2020

Remotely Sensed Urban Surface Ecological Index (RSUSEI): An Analytical Framework for Assessing the Surface Ecological Status in Urban Environments.
Remote. Sens., 2020

Evaluating the Spectral Indices Efficiency to Quantify Daytime Surface Anthropogenic Heat Island Intensity: An Intercontinental Methodology.
Remote. Sens., 2020

2019
Automated Built-Up Extraction Index: A New Technique for Mapping Surface Built-Up Areas Using LANDSAT 8 OLI Imagery.
Remote. Sens., 2019

Homogeneity Distance Classification Algorithm (HDCA): A Novel Algorithm for Satellite Image Classification.
Remote. Sens., 2019

A PCA-OLS Model for Assessing the Impact of Surface Biophysical Parameters on Land Surface Temperature Variations.
Remote. Sens., 2019

2018
Comparison of soil moisture retrieval algorithms based on the synergy between SMAP and SMOS-IC.
Int. J. Appl. Earth Obs. Geoinformation, 2018

Investigating the Relationship Between Shallow Groundwater, Soil Moisture and Land Surface Temperature Using Remotely Sensed Data.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
Diurnal Air Temperature Modeling Based on the Land Surface Temperature.
Remote. Sens., 2017

An Analysis of the Discrepancies between MODIS and INSAT-3D LSTs in High Temperatures.
Remote. Sens., 2017

2016
Seasonal Variations of the Surface Urban Heat Island in a Semi-Arid City.
Remote. Sens., 2016

Assessing the accuracy of hyperspectral and multispectral satellite imagery for categorical and Quantitative mapping of salinity stress in sugarcane fields.
Int. J. Appl. Earth Obs. Geoinformation, 2016

2015
A multi-agent architecture for geosimulation of moving agents.
J. Geogr. Syst., 2015

2013
Estimating salinity stress in sugarcane fields with spaceborne hyperspectral vegetation indices.
Int. J. Appl. Earth Obs. Geoinformation, 2013


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